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1
Joshi K. and Sethy K.M. "Forest Cover Change Detection using Geospatial Technologies in Chandaka National Park, Odisha, India." International Journal of Zoological Investigations 08, Spl 1 (2022): 29–40. http://dx.doi.org/10.33745/ijzi.2022.v08i0s1.004.
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Forest plays a vital role in carbon sequestration and climate regulation. A crucial tool for managing forest, particularly in protected regions, is keeping track of how the land cover changes in natural places. Using geospatial approaches, such as remote sensing and geographic information system (GIS), the present study has revealed spatio-temporal changes in land use categories and forest cover in the Chandaka National Park of Odisha, India, throughout the period of 1980-2020. The Landsat, LISS III and Sentinel satellite images of the year 1980, 2000 and 2020 were utilized respectively to map five land use land cover categories i.e. deciduous broadleaf forest, crop land, mixed forest, scrub land and water bodies in this preserved area. The satellite images were classified using a Supervised Classification method using Maximum Likelihood algorithm and ground control points (GCPs) were used for the spatial statistical analyses. The overall accuracies of the classification method in land cover categories in year 1980, 2000 and 2020 were 90.45%, 92.76% and 94.68%, respectively. Elsewhere, in order to study land use land cover (LULC) change and loss in forest of the Chandaka National Park, LULC classification, per-pixel scales post classification and self-knowledge on the LULC change process were used. The LULC change detection results showed that deciduous broadleaf forest decreased from 179.01 sq. km (76.66%) in 1980 to 132.75 sq. km (56.85%) in 2020, while mixed forest cover increased by 8.17 sq. km (3.50%) in 1980 to 38.84 sq. km (16.63%) in 2020. Crop land, Scrub land and Water bodies were also increased by 3.34%, 3.27% and 0.07%, respectively. Two significant change processes in the area are the logging activities in several places for timber and the conversion of natural forests with plantation. Agriculture expansion in the forest’s periphery is linked to the dramatic decline in forest cover change. The decline in forest cover is also a result of the production of charcoal and lumber exploitation. Overall, our findings indicated that more public awareness and participatory forest management are necessary to preserve Chandaka National Park. This study highlights the use of geospatial technologies in understanding the changes in LULC in the Chandaka National Park.
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Waitt, Gordon, Carol Farbotko, and Barbara Criddle. "Scalar Politics of Climate Change: Regions, Emissions and Responsibility." Media International Australia 143, no. 1 (May 2012): 36–46. http://dx.doi.org/10.1177/1329878x1214300106.
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The print media have facilitated multiple types of claim-making and an oppositional climate change politics. Drawing on arguments about the social construction of geographical scale as a category for understanding media practice, this article examines such politics. We focus on the Illawarra Mercury, the only daily newspaper in the Illawarra region of New South Wales, to showcase exactly how this tabloid newspaper engages readers in a scalar politics of climate change. We argue that a regional scalar politics shapes the framing of emissions in the Illawarra Mercury. A key question organising this article concerns the way in which geographical scale is invoked, and reproduced, in this newspaper to structure a certain rationale in reporting on emissions from one of Australia's largest greenhouse gas emitters, the Port Kembla Steelworks. The argument is that the regional scale is evoked as a pre-given, natural and contained entity to justify why the steelworks need not shoulder greenhouse gas emissions reductions. We argue that a better understanding of scalar politics is integral to explain how responsibility for emissions is shifted elsewhere.
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Tibola da Rocha, Vanessa, Luciana Londero Brandli, and Rosa Maria Locatelli Kalil. "Climate change education in school: knowledge, behavior and attitude." International Journal of Sustainability in Higher Education 21, no. 4 (May 28, 2020): 649–70. http://dx.doi.org/10.1108/ijshe-11-2019-0341.
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Purpose The purpose of this paper is to present an experience of inclusion of the theme “climate change” in a Brazilian public school through training conducted with teachers. Design/methodology/approach The methodology was based on three specific phases: reflection, focusing on the application of a pretest with 45 questions directed to three domains (knowledge, attitude and behavior); climate change education (CCE) training; and application of a post-test and action, regarding the insertion in the school space. Findings The survey results highlight the difficulty teachers have in understanding and applying CCE in the classroom and it underscores the importance of this approach. Research limitations/implications The research approach is related to a specific case in a school located in south of Brazil. Although the school has its own context, the reported experience can be considered elsewhere. Practical implications This case study reinforces that CCE presents broad challenges for the scientific community. For the reason that the understanding of the topic (CCE) is complex, considering the global context and the divergent opinions on the subject. Social implications The paper reinforces that for today’s society, sustainable development is no longer a choice but a necessity, underpinned by global Agenda 2030 discussions. In this context, teachers are essential to the transformation toward a better future. Originality/value The difficulties and facilities encountered during the experience serve to enhance new actions at national or even global level, respecting each new context of study and insertion of research directed to the theme – CCE.
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Raven, Emma K., Stuart N. Lane, and Louise J. Bracken. "Understanding sediment transfer and morphological change for managing upland gravel-bed rivers." Progress in Physical Geography: Earth and Environment 34, no. 1 (January 22, 2010): 23–45. http://dx.doi.org/10.1177/0309133309355631.
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Upland river systems constantly evolve in response to a wide range of complex and interlinked processes. These include internal factors such as the discharge, sediment supply and transfer, and the role of the channel boundary. All are influenced by external catchment-scale factors including climate and land use. Managing these systems to reduce flood risk, prevent bank erosion and preserve habitats is typically carried out without sufficient consideration of the complex interrelationships governing the fluvial system. This is partly due to a lack of broad-scale thinking and partly due to the intensive field-based data collection required to inform the processes. As such, decisions are often ill-informed, becoming unsuccessful or simply shifting the problems elsewhere in the system. Furthermore, the continually changing nature of rivers makes management more challenging as an implemented scheme is highly unlikely to remain effective in the long term. While upland catchment hydrology and the implications of climate and land-use change have received much attention in recent decades, in-channel interactions between sediment transfer and morphological change have been relatively neglected. These interactions are fundamental to flood risk, lateral channel adjustment, and habitat and ecology; thus, they require a more concentrated research effort. Central to this is a more holistic approach to catchment operations and a greater understanding of the links between the in-channel dynamics and broader catchment changes.
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Fünfgeld, Hartmut. "Framing the challenge of climate change adaptation for Victorian local governments." Proceedings of the Royal Society of Victoria 125, no. 1 (2013): 45. http://dx.doi.org/10.1071/rs13016.
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Climate change adaptation, although dependent on our understanding of current and future climatic trends, is predominantly a social and institutional process. This becomes evident when studying how organisations actually respond to and prepare for climate change impacts. This paper explores the notion of framing climate change adaptation as a process of organisational development and change in the local government sector. Local governments, as the tier of government closest to the community, provide a raft of services to residents and businesses, many of which may be affected by the impacts of a changing climate. Local governments in Victoria and elsewhere have been at the forefront of assessing climatic risks and opportunities, as well as devising strategies and response measures to address these risks. The growing evidence of adaptation planning in the local government sector suggests that adaptation can be framed in many different ways, although a risk management perspective is frequently applied. Increasingly, adaptation to climate change is conceptualised as an ongoing, flexible process that needs to be fully embedded in the local and organisational context. This paper discusses the conceptual and organisational framing of climate change adaptation, illustrated by examples of the diversity of adaptation approaches taken by local governments in Victoria.
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Spracklen, D. V., J. C. A. Baker, L. Garcia-Carreras, and J. H. Marsham. "The Effects of Tropical Vegetation on Rainfall." Annual Review of Environment and Resources 43, no. 1 (October 17, 2018): 193–218. http://dx.doi.org/10.1146/annurev-environ-102017-030136.
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Vegetation modifies land-surface properties, mediating the exchange of energy, moisture, trace gases, and aerosols between the land and the atmosphere. These exchanges influence the atmosphere on local, regional, and global scales. Through altering surface properties, vegetation change can impact on weather and climate. We review current understanding of the processes through which tropical land-cover change (LCC) affects rainfall. Tropical deforestation leads to reduced evapotranspiration, increasing surface temperatures by 1–3 K and causing boundary layer circulations, which in turn increase rainfall over some regions and reduce it elsewhere. On larger scales, deforestation leads to reductions in moisture recycling, reducing regional rainfall by up to 40%. Impacts of future tropical LCC on rainfall are uncertain but could be of similar magnitude to those caused by climate change. Climate and sustainable development policies need to account for the impacts of tropical LCC on local and regional rainfall.
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Chen, Yunlong, Xiujuan Shan, Ning Wang, Xianshi Jin, Lisha Guan, Harry Gorfine, Tao Yang, and Fangqun Dai. "Assessment of fish vulnerability to climate change in the Yellow Sea and Bohai Sea." Marine and Freshwater Research 71, no. 7 (2020): 729. http://dx.doi.org/10.1071/mf19101.
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Vulnerability assessments provide a feasible yet infrequently used approach to expanding our understanding and evaluating the effects of climate change on fish assemblages. Here, we first used a fuzzy-logic expert system to quantitatively estimate the vulnerability and potential impact risks of climate change for fish species in the Bohai Sea and Yellow Sea (BSYS). The mean (±s.d.) vulnerability and the impact-risk indices for 25 dominant fish species were 51±22 and 62±12 respectively (with the highest possible value being 100 under the Representative Concentration Pathway 8.5 scenario). Miiuy croaker (Miichthys miiuy) was found to have the highest impact risk, whereas the glowbelly (Acropoma japonicum) had the lowest. Demersal fishes tended to be more vulnerable than pelagic fishes, whereas the opposite was found for impact risks. No significant correlation was found between species biomass and vulnerability (P>0.05). The assessment provided a comprehensive framework for evaluating climate effects in the BSYS and suggested that interspecific and habitat group differences should be considered when developing future climate-adaptive fishery policies and management measures in this region, as well as similar systems elsewhere in the world.
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Ramadan, Abdullah Mohammed Hassan, and Ahmed G. Ataallah. "Are climate change and mental health correlated?" General Psychiatry 34, no. 6 (November 2021): e100648. http://dx.doi.org/10.1136/gpsych-2021-100648.
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Climate change is one of the biggest challenges of our time and is likely to affect human beings in substantial ways. Recently, researchers started paying more attention to the changes in climate and their subsequent impact on the social, environmental and economic determinants of health, and the role they play in causing or exacerbating mental health problems. The effects of climate change-related events on mental well-being could be classified into direct and indirect effects. The direct effects of climate change mostly occur after acute weather events and include post-traumatic stress disorder, anxiety, substance abuse disorder, depression and even suicidal ideation. The indirect effects include economic losses, displacement and forced migration, competition over scarce resources and collective violence. The risk factors for developing those mental health issues include young age, female gender, low socioeconomic status, loss or injury of a loved one, being a member of immigrant groups or indigenous people, pre-existing mental illness and inadequate social support. However, in some individuals, especially those undisturbed by any directly observable effects of climate change, abstract awareness and acknowledgement of the ongoing climate crisis can induce negative emotions that can be intense enough to cause mental health illness. Coping strategies should be provided to the affected communities to protect their mental health from collapse in the face of climate disasters. Awareness of the mental health impacts of climate change should be raised, especially in the high-risk groups. Social and global attention to the climate crisis and its detrimental effects on mental health are crucial.This paper was written with the aim of trying to understand the currently, scientifically proven impact of climate change-related disasters on mental health and understanding the different methods of solving the problem at the corporate level, by trying to decrease greenhouse gas emissions to zero, and at the individual level by learning how to cope with the impacts of those disasters.
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Zsarnoczky, Martin. "THE FUTURE OF SUSTAINABLE RURAL TOURISM DEVELOPMENT – THE IMPACTS OF CLIMATE CHANGE." Annals of the Polish Association of Agricultural and Agribusiness Economists XIX, no. 3 (August 22, 2017): 337–44. http://dx.doi.org/10.5604/01.3001.0010.3374.
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Climate change a phenomenon mainly caused by the high level of greenhouse gas (GHG) emission into the atmosphere of the Earth - makes human ecosystems vulnerable and is predicted to affect our everyday life in the near future. The increased intensity of storms, cyclones, drought and flooding; the greater magnitude and frequency of heat and cold waves and the continuous rise of the sea-level are likely to generate more geopolitical conflicts, especially in the most vulnerable regions of the planet. The three main categories of climate change impacts are classified as environmental, economic and social effects. The economic and social consequences of climate change are expected to significantly reduce the resilience of rural tourism regions and their capability to successfully respond to other possible critical events. Due to the impacts of natural disasters and extreme climatic events, global climate change affects European rural regions, too. The development of sustainable rural tourism requires the in-depth understanding of the ongoing processes and the development of tools that will serve the interest of tourism and local people alike.
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Martin, Laura E., Michael N. Dawson, Lori J. Bell, and Patrick L. Colin. "Marine lake ecosystem dynamics illustrate ENSO variation in the tropical western Pacific." Biology Letters 2, no. 1 (October 18, 2005): 144–47. http://dx.doi.org/10.1098/rsbl.2005.0382.
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Understanding El Niño/Southern Oscillation (ENSO) and its biological consequences is hindered by a lack of high-resolution, long-term data from the tropical western Pacific. We describe a preliminary, 6 year dataset that shows tightly coupled ENSO-related bio-physical dynamics in a seawater lake in Palau, Micronesia. The lake is more strongly stratified during La Niña than El Niño conditions, temperature anomalies in the lake co-vary strongly with the Niño 3.4 climate index, and the abundance of the dominant member of the pelagic community, an endemic subspecies of zooxanthellate jellyfish, is temperature associated. These results have broad relevance because the lake: (i) illustrates an ENSO signal that is partly obscured in surrounding semi-enclosed lagoon waters and, therefore, (ii) may provide a model system for studying the effects of climate change on community evolution and cnidarian–zooxanthellae symbioses, which (iii) should be traceable throughout the Holocene because the lake harbours a high quality sediment record; the sediment record should (iv) provide a sensitive and regionally unique record of Holocene climate relevant to predicting ENSO responses to future global climate change and, finally, (v) seawater lake ecosystems elsewhere in the Pacific may hold similar potential for past, present, and predictive measurements of climate variation and ecosystem response.
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Van Bogaert, Rik, Sylvie Gauthier, Frédéric Raulier, Jean-Pierre Saucier, Dominique Boucher, André Robitaille, and Yves Bergeron. "Exploring forest productivity at an early age after fire: a case study at the northern limit of commercial forests in Quebec." Canadian Journal of Forest Research 45, no. 5 (May 2015): 579–93. http://dx.doi.org/10.1139/cjfr-2014-0273.
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Interest in northern forests is increasing worldwide for both timber production and climate change mitigation. Studies exploring forest productivity at an early age after fire and its determining factors are greatly needed. We studied forest productivity, defined as the combined quality of stocking and growth, of 116 10- to 30-year-old postfire sites. The sites were spread over a 90 000 km2 area north of the Quebec commercial forestry limit and were dominated by Picea mariana (Mill.) B.S.P. and Pinus banksiana Lamb. Seventy-two percent of our sites were classified as unproductive, mainly because of poor growth. Because growth was mostly determined by climatic factors, afforestation alone may not be sufficient to increase stand productivity in our study area. In addition, our results suggest that P. banksiana on dry sites may be less resilient to fire than previously thought, presumably because of poor site quality and climate. Overall, this is one of the first studies to explore productivity issues at an early age in natural northern forests, and the analysis scheme that defines forest productivity as the result of growth and stocking could provide a useful tool to identify similar issues elsewhere.
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Abbas, Nahlah, Saleh Wasimi, Nadhir Al-Ansari, and Sultana Nasrin Baby. "Recent Trends and Long-Range Forecasts of Water Resources of Northeast Iraq and Climate Change Adaptation Measures." Water 10, no. 11 (November 2, 2018): 1562. http://dx.doi.org/10.3390/w10111562.
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Iraq has been experiencing water resources scarcity, and is vulnerable to climate change. Analysis of historical data revealed that the region is experiencing climate change to a degree higher than generally reported elsewhere. The relationship between climate change and its effect on water resources of a region has been sparsely addressed in published literature. To fill that gap this research work first investigates if there has been a significant change in climate in the region, which has been found to be true. In the next stage, the research projects future climatic scenarios of the region based on six oft-used General Circulation Model (GCM) ensembles, namely CCSM4, CSIRO-Mk3.6.0, GFDL-ESM2M, MEROC5, HadGEM2-ES, and IPSL-CM5A-LR. The relationship between climate change and its impact on water resources is explored through the application of the popular, widely used SWAT model. The model depicts the availability of water resources, classified separately as blue and green waters, for near and distant futures for the region. Some of the findings are foreboding and warrants urgent attention of planners and decision makers. According to model outputs, the region may experience precipitation reduction of about 12.6% and 21% in near (2049–2069) and distant (2080–2099) futures, respectively under RCP8.5. Those figures under RCP4.5 are 15% and 23.4%, respectively and under RCP2.6 are 12.2% and 18.4%, respectively. As a consequence, the blue water may experience decreases of about 22.6% and 40% under RCP8.5, 25.8% and 46% under RCP4.5, and 34.4% and 31% under RCP2.6 during the periods 2049–2069 and 2080–2099, respectively. Green water, by contrast, may reduce by about 10.6% and 19.6% under RCP8.5, by about 14.8% and 19.4% under RCP4.5, and by about 15.8% and 14.2% under RCP2.6 during the periods 2049–2069 and 2080–2099, respectively. The research further investigates how the population are adapting to already changed climates and how they are expected to cope in the future when the shift in climate is expected to be much greater.
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Hall, C. M., G. Hansen, F. Sigernes, and K. M. Kuyeng Ruiz. "Tropopause height at 78° N 16° E: average seasonal variation 2007–2010." Atmospheric Chemistry and Physics Discussions 11, no. 1 (January 4, 2011): 39–52. http://dx.doi.org/10.5194/acpd-11-39-2011.
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Abstract. We present a seasonal climatology of tropopause altitude for 78° N 16° E derived from observations 2007–2010 by the SOUSY VHF radar on Svalbard. The spring minimum occurs one month later than that of surface air temperature and instead coincides with the maximum in ozone column density. This confirms similar studies based on radiosonde measurements in the arctic and demonstrates downward control by the stratosphere. If one is to exploit the potential of tropopause height as a metric for climate change at high latitude and elsewhere, it is imperative to observe and understand the processes which establish the tropopause – an understanding to which this study contributes.
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Hall, C. M., G. Hansen, F. Sigernes, and K. M. Kuyeng Ruiz. "Tropopause height at 78° N 16° E: average seasonal variation 2007–2010." Atmospheric Chemistry and Physics 11, no. 11 (June 15, 2011): 5485–90. http://dx.doi.org/10.5194/acp-11-5485-2011.
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Abstract. We present a seasonal climatology of tropopause altitude for 78° N 16° E derived from observations 2007–2010 by the SOUSY VHF radar on Svalbard. The spring minimum occurs one month later than that of surface air temperature and instead coincides with the maximum in ozone column density. This confirms similar studies based on radiosonde measurements in the arctic and demonstrates downward control by the stratosphere. If one is to exploit the potential of tropopause height as a metric for climate change at high latitude and elsewhere, it is imperative to observe and understand the processes which establish the tropopause – an understanding to which this study contributes.
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Alizadeh, Behdad, and James Hitchmough. "A review of urban landscape adaptation to the challenge of climate change." International Journal of Climate Change Strategies and Management 11, no. 2 (March 8, 2019): 178–94. http://dx.doi.org/10.1108/ijccsm-10-2017-0179.
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Purpose Urban landscapes play a significant role in supporting municipal, ecological and social systems. Besides, valuable environmental services and urban green spaces provide social and psychological services, very important for the liveability of modern cities and the well-being of urban residents. It is clear that the area of green space in a city, the method of designing urban landscape and access to urban green space potentially affect the health, happiness, comfort, safety and security of urban dwellers. Urban landscape plays a significant role in providing habitats for wildlife, and an important vegetation type in doing this is species-rich herbaceous vegetation that provides pollen and nectar plus physical habitat for native fauna. Any factor that makes an impression on the urban landscape (such as climate change) will affect people’s lives directly or indirectly. There is a universal consensus that the temperature has increased in most of the world over the past century the investigation of climate change impacts on the urban landscape is the purpose of this study. Findings Understanding the process of climate change adaptation is necessary to design plant communities for use in public landscapes. Increased CO2 and air temperature in conjunction with the changing rainfall conditions, as the three important factors of climate change, potentially alter almost all world ecosystems. Climate change provides new opportunities, and in some cases, an obligate need to use non-native plant species in conjunction with native plant species, not only to reduce the side effects of climate change but also to increase the species diversity and aesthetic value in meadow-like naturalistic planting design. Originality/value The authors confirm that this work is original and has not been published elsewhere. In this paper, the authors report on the effects of climate change on urban landscape and suggest different kind of solutions to reduce the effects. The paper should be of interest to readers in the areas of landscape architecture, landscape ecologist, landscape planner, landscape managers and environmental designer.
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Cons, Jason. "Staging Climate Security: Resilience and Heterodystopia in the Bangladesh Borderlands." Cultural Anthropology 33, no. 2 (May 21, 2018): 266–94. http://dx.doi.org/10.14506/ca33.2.08.
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This essay interrogates an emergent genre of development projects that seek to instill resilience in populations likely to be severely impacted by climate change. These new projects venture a dark vision of life in a warming world—one where portable technologies become necessary for managing a future of climate chaos. I propose, following Michel Foucault, understanding these projects as heterodystopias: spaces managed as and in anticipation of a world of dystopian climate crisis that are at once stages for future interventions and present-day spectacles of climate security. My exploration of these projects is situated in the borderlands of Bangladesh, a space increasingly imagined as a ground zero of climate change. The projects discussed frame the borderlands as a site that reflects forward onto a multiplicity of (other) dystopian spaces to come. Their often puzzling architecture reveals a grim imagining of the future: one in which atomized resilient families remain rooted in place, facing climate chaos alone, assisted by development technology. In this way, these projects seek to mitigate against global anxiety about climate displacement by emplacing people—preventing them from migrating across borders increasingly imagined as the front lines of climate security. Yet at the same time, these projects speak a visual language that suggests they are as much about representing success at managing climate crisis to an audience elsewhere as they are to successfully stemming climate migration in a particular place. Heterodystopia provides an analytic for diagnosing the specific visions of time and space embedded in securitized framings of the future. In doing so, however, it also points toward counterimaginations and possibilities for life in the midst of ecological change. I thus conclude by contrasting climate heterodystopias with other projects that Bangladeshi peasants living in the borderlands are carrying out: projects that offer different ways of imagining the environment and life in the borderlands of Bangladesh.
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Dunkerley, David. "Sub-Daily Rainfall Intensity Extremes: Evaluating Suitable Indices at Australian Arid and Wet Tropical Observing Sites." Water 11, no. 12 (December 11, 2019): 2616. http://dx.doi.org/10.3390/w11122616.
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Rainfall intensity extremes are relevant to many aspects of climatology, climate change, and landsurface processes. Intensity is described and analysed using a diversity of approaches, reflecting its importance in these diverse areas. The characteristics of short-interval intensity extremes, such as the maximum 5-min intensity, are explored here. It is shown that such indices may have marked diurnal cycles, as well as seasonal variability. Some indices of intensity, such as the SDII (simple daily intensity index), provide too little information for application to landsurface processes. Upper percentiles of the intensity distribution, such as the 95th and 99th percentiles (Q95 and Q99) are used as indices of extreme intensity, but problematically are affected by changes in intensity below the nominated threshold, as well as above it, making the detection of secular change, and application to sites with contrasting rainfall character, challenging. For application to landsurface processes, a new index is introduced. This index (RQ95), is that intensity or rainfall rate above which 5% of the total rainfall is delivered. This index better reflects intense rainfall than does Q95 of even 5-min accumulation duration (AD) rainfall depths. Such an index is helpful for detecting secular change at an observing station, but, like Q95, remains susceptible to the effects of change elsewhere in the distribution of intensities. For understanding impacts of climate and climate change on landsurface processes, it is argued that more inclusive indices of intensity are required, including fixed intensity criteria.
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Bixler, R. Patrick, Katherine Lieberknecht, Fernanda Leite, Juliana Felkner, Michael Oden, Steven M. Richter, Samer Atshan, Alvaro Zilveti, and Rachel Thomas. "An Observatory Framework for Metropolitan Change: Understanding Urban Social–Ecological–Technical Systems in Texas and Beyond." Sustainability 11, no. 13 (July 1, 2019): 3611. http://dx.doi.org/10.3390/su11133611.
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In Texas and elsewhere, the looming realities of rapid population growth and intensifying effects of climate change mean that the things we rely on to live—water, energy, dependable infrastructure, social cohesion, and an ecosystem to support them—are exposed to unprecedented risk. Limited resources will be in ever greater demand and the environmental stress from prolonged droughts, record-breaking heat waves, and destructive floods will increase. Existing long-term trends and behaviors will not be sustainable. That is our current trajectory, but we can still change course. Significant advances in information communication technologies and big data, combined with new frameworks for thinking about urban places as social–ecological–technical systems, and an increasing movement towards transdisciplinary scholarship and practice sets the foundation and framework for a metropolitan observatory. Yet, more is required than an infrastructure for data. Making cities inclusive, safe, resilient, and sustainable will require that data become actionable knowledge that change policy and practice. Research and development of urban sustainability and resilience knowledge is burgeoning, yet the uptake to policy has been slow. An integrative and holistic approach is necessary to develop effective sustainability science that synthesizes different sources of knowledge, relevant disciplines, multi-sectoral alliances, and connections to policy-makers and the public. To address these challenges and opportunities, we developed a conceptual framework for a “metropolitan observatory” to generate standardized long-term, large-scale datasets about social, ecological, and technical dimensions of metropolitan systems. We apply this conceptual model in Texas, known as the Texas Metro Observatory, to advance strategic research and decision-making at the intersection of urbanization and climate change. The Texas Metro Observatory project is part of Planet Texas 2050, a University of Texas Austin grand challenge initiative.
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Nuhu, Mohammed Gali, and Kenichi Matsui. "Gender Dimensions of Climate Change Adaptation Needs for Smallholder Farmers in the Upper East Region of Ghana." Sustainability 14, no. 16 (August 22, 2022): 10432. http://dx.doi.org/10.3390/su141610432.
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Gender-specific perceptions and needs are critical to better understanding climate change adaptation capacities of local smallholder communities in Africa and elsewhere. As many rural agricultural practices are heavily impacted by male-centered traditional customs and mores, gender dimensions can determine the level of success for policy interventions. To better understand how and what gender dimensions can be important factors for farmer’s climate change adaptations, this study attempts to examine smallholder farmers’ adaptation needs and perspectives in Ghana’s Upper East Region. A focus group discussion and a questionnaire survey were conducted among 200 smallholder farmers. We found that the female respondents, who mostly belonged to low/middle-income groups, emphasized their urgent need for financial support to improve their income. They needed more farmland as 94% of them had only less than 5 acres to farm. In addition, 91% of the female respondents expressed the importance of being connected to farmers’ mutual-help groups to share information about common farming needs. We also found gender-specific needs for extension services, farm inputs, climate information, mechanization, and infrastructure. Regarding access to resources, the women respondents had little interest in investing more in farming as the land they borrowed could be taken away by male owners. The study recommends the need for gender-specific support initiatives that prioritize social protection and gender equality.
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Butorac, Valerija, and Nenad Buzjak. "Landscape research in Croatia from 1945 to 2019." Hrvatski geografski glasnik/Croatian Geographical Bulletin 83, no. 1 (2021): 25–56. http://dx.doi.org/10.21861/hgg.2021.83.01.02.
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In Croatia, as elsewhere, significant changes have occurred in the landscape over time, due to changes in land use, climate change, and general anthropogenic activities. Accordingly, the need for deeper and more intensive understanding of landscape properties has arisen, in order to ensure adequate land management and protection. The aim of this study is to give an overview of the state of scientific landscape research in Croatia, and determine the stakeholders, methodologies, various research topics, and degree of research and knowledge regarding Croatia’s landscapes. Over the past decade, there has been an increased interest in landscape research, with two clear landscape research approaches emerging: geographic approach and (landscape) architecture approach, that differ in terms of the issues examined, methodologies applied, and spatial context.
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Munishi, Linus K., Anza A. Lema, and Patrick A. Ndakidemi. "Decline in maize and beans production in the face of climate change at Hai District in Kilimanjaro Region, Tanzania." International Journal of Climate Change Strategies and Management 7, no. 1 (March 16, 2015): 17–26. http://dx.doi.org/10.1108/ijccsm-07-2013-0094.
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Purpose – The purpose of this paper is to show how climatic change in Africa is expected to lead to a higher occurrence of severe droughts in semiarid and arid ecosystems. Understanding how crop productions react to such events is, thus, crucial for addressing future challenges for food security and poverty alleviation. Design/methodology/approach – The authors explored how temperature and rainfall patterns determined maize and beans production in Hai District in Kilimanjaro Region, Tanzania. Findings – Annual food crops were particularly sensitive to the drought and maize and beans yields were lower than perennial crops during the years of drought. The authors also report strong and significant association between maize and beans production with temperature and rainfall patterns. Practical implications – This study highlights how severe droughts can dramatically affect yields of annual crops and suggests that extreme climatic events might act as a major factor affecting agriculture production and food security, delaying or preventing the realization of the Millennium Development Goals. Originality/value – This is the first study that highlights how severe droughts can dramatically affect yields of annual crops in Hai District contributing to other climate studies done elsewhere in Tanzania and the world at large.
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Pérez-Blanco, C. D., E. E. Koks, E. Calliari, and J. Mysiak. "Economic Impacts of Irrigation-Constrained Agriculture in the Lower Po Basin." Water Economics and Policy 04, no. 01 (January 2018): 1750003. http://dx.doi.org/10.1142/s2382624x17500035.
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Climate change, increasing demand for water, higher environmental standards and inelastic water supply suggest that future drought response in Southern Europe would require more efficient management of water use. In this context, there is a pressing need for a better understanding of the economic impacts of irrigation restrictions, including their microeconomic and broad economic repercussions. This paper connects a multi-attribute Revealed Preference Model working at an agricultural district level with a regionally calibrated supply and use model that combines nonlinear programming and input-output modeling techniques to address water allocation issues. To the best of our knowledge, this is the first time these two modeling approaches are combined in this fashion. Methods are illustrated with an application to the Lower Po River Basin (LPRB) in the Emilia Romagna Region, Italy. Results show that irrigation restrictions generate rising incremental losses in the agricultural districts of the LPRB, which are amplified through negative inter-sectorial feedbacks at a regional level. Contraction of production in Emilia Romagna results in an excess demand situation that propels the production of substitute goods elsewhere in Italy, partially but not fully compensating economic losses in the region. Methods and results offer a basis for assessing tradeoffs in irrigation restrictions and related adaptations, for climate change included.
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Baharlouii, M., D. Mafi Gholami, and M. Abbasi. "INVESTIGATING MANGROVE FRAGMENTATION CHANGES USING LANDSCAPE METRICS." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-4/W18 (October 18, 2019): 159–62. http://dx.doi.org/10.5194/isprs-archives-xlii-4-w18-159-2019.
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Abstract. Generally, investigation of long-term mangroves fragmentation changes can be used as an important tool in assessing sensitivity and vulnerability of these ecosystems to the multiple environmental hazards. Therefore, the aim of this study was to reveal the trend of mangroves fragmentation changes in Khamir habitat using satellite imagery and Fragstats software during a 30-year period (1986–2016). To this end, Landsat images of 1986, 1998, and 2016 were used and after computing the normalized difference vegetation index (NDVI) to distinguish mangroves from surrounding water and land areas, images were further processed and classified into two types of land cover (i.e., mangrove and non-mangrove areas) using the maximum likelihood classification method. By determining the extent of mangroves in the Khamir habitat in the years of 1986, 1998 and 2017, the trend of fragmentation changes was quantified using CA, NP, PD and LPI landscape metrics. The results showed that the extent of mangroves in Khamir habitat (CA) decreased in the period post-1998 (1998–2016). The results also showed that, the NP and PD increased in the period of post-1998 and in contrast, the LPI decrease in this period. These results revealed the high degree of vulnerability of mangroves in Khamir habitat to the drought occurrence and are thus threatened by climate change. We hope that the results of this study stimulate further climate change adaptation planning efforts and help decision-makers prioritize and implement conservative measures in the mangrove ecosystems on the northern coasts of the PG and the GO and elsewhere.
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Cabrera, Maritza, Jason Leake, José Naranjo-Torres, Nereida Valero, Julio C. Cabrera, and Alfonso J. Rodríguez-Morales. "Dengue Prediction in Latin America Using Machine Learning and the One Health Perspective: A Literature Review." Tropical Medicine and Infectious Disease 7, no. 10 (October 21, 2022): 322. http://dx.doi.org/10.3390/tropicalmed7100322.
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Dengue fever is a serious and growing public health problem in Latin America and elsewhere, intensified by climate change and human mobility. This paper reviews the approaches to the epidemiological prediction of dengue fever using the One Health perspective, including an analysis of how Machine Learning techniques have been applied to it and focuses on the risk factors for dengue in Latin America to put the broader environmental considerations into a detailed understanding of the small-scale processes as they affect disease incidence. Determining that many factors can act as predictors for dengue outbreaks, a large-scale comparison of different predictors over larger geographic areas than those currently studied is lacking to determine which predictors are the most effective. In addition, it provides insight into techniques of Machine Learning used for future predictive models, as well as general workflow for Machine Learning projects of dengue fever.
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Ir Vinesh Thiruchelvam, Prof Dr, and Mbau Stella Nyambura. "A Flash Flood Early Warning System for Rural Kenya: A Pilot Study." International Journal of Engineering & Technology 7, no. 4.38 (December 3, 2018): 810. http://dx.doi.org/10.14419/ijet.v7i4.38.27550.
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The cost of climate change has increased phenomenally in recent years. Therefore, understanding climate change and its impacts, that are likely to get worse and worse into the future, gives us the ability to predict scenarios and plan for them. Flash floods, which are a common result of climate change, follow increased precipitation which then increases risk and associated vulnerability due to the unpredictable rainfall patterns. Developing countries suffer grave consequences in the event that weather disasters strike because they have the least adaptive capacity. At the equator where the hot days are hotter and winds carrying rainfall move faster, Kenya’s Tana River County is noted for its vulnerability towards flash floods. Additionally, this county and others that are classified as rural areas in Kenya do not receive short term early warnings for floods. This county was therefore selected as the study area for its vulnerability. The aim of the study is therefore to propose a flash flood early warning system framework that delivers short term early warnings. Using questionnaires, information about the existing warning system will be collected and analyzed using SPSS. The results will be used to interpret the relationships between variables of the study, with a particular interest in the moderation effect in order to confirm that the existing system can be modified; that is, if the moderation effect is confirmed.
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Ir Vinesh Thiruchelvam, Prof Dr, and Mbau Stella Nyambura. "A Flash Flood Early Warning System for Rural Kenya: A Pilot Study." International Journal of Engineering & Technology 7, no. 4.38 (December 3, 2018): 1310. http://dx.doi.org/10.14419/ijet.v7i4.38.27812.
Full textAbstract:
The cost of climate change has increased phenomenally in recent years. Therefore, understanding climate change and its impacts, that are likely to get worse and worse into the future, gives us the ability to predict scenarios and plan for them. Flash floods, which are a common result of climate change, follow increased precipitation which then increases risk and associated vulnerability due to the unpredictable rainfall patterns. Developing countries suffer grave consequences in the event that weather disasters strike because they have the least adaptive capacity. At the equator where the hot days are hotter and winds carrying rainfall move faster, Kenya’s Tana River County is noted for its vulnerability towards flash floods. Additionally, this county and others that are classified as rural areas in Kenya do not receive short term early warnings for floods. This county was therefore selected as the study area for its vulnerability. The aim of the study is therefore to propose a flash flood early warning system framework that delivers short term early warnings. Using questionnaires, information about the existing warning system will be collected and analyzed using SPSS. The results will be used to interpret the relationships between variables of the study, with a particular interest in the moderation effect in order to confirm that the existing system can be modified; that is, if the moderation effect is confirmed.
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Skotnicki, M. L., J. A. Ninham, and P. M. Selkirk. "Genetic diversity, mutagenesis and dispersal of Antarctic mosses – a review of progress with molecular studies." Antarctic Science 12, no. 3 (September 2000): 363–73. http://dx.doi.org/10.1017/s0954102000000419.
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In investigating the extent of genetic diversity in Antarctic mosses the RAPD technique has proven especially useful in demonstrating that these mosses exhibit extensive genetic variation (levels being similar to those in temperate regions), and that within-colony variation is apparently caused not only by immigration and establishment of propagules from elsewhere, but also by mutagenesis. Dispersal of these mosses can also be followed using the RAPD technique; both short-distance dispersal by wind or water (depending on the moss species) and longer distance dispersal by wind across the ice cap has been demonstrated. Relationships with temperate mosses of the same species are being investigated to determine the origins of Antarctic populations. Genetic technology is also facilitating the taxonomic identification of moss specimens which cannot be identified morphologically due to phenotypic plasticity in Antarctica. Together, these genetic studies are starting to provide information of fundamental scientific importance for understanding the evolution, origins and dispersal mechanisms of Antarctic mosses, and their response to climate change.
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Guo, Ying, Jing Guo, Xin Shen, Guibin Wang, and Tongli Wang. "Predicting the Bioclimatic Habitat Suitability of Ginkgo biloba L. in China with Field-Test Validations." Forests 10, no. 8 (August 20, 2019): 705. http://dx.doi.org/10.3390/f10080705.
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Ginkgo (Ginkgo biloba L.) is not only considered a ‘living fossil’, but also has important ecological, economic, and medicinal values. However, the impact of climate change on the performance and distribution of this plant is an increasing concern. In this study, we developed a bioclimatic model based on data about the occurrence of ginkgo from 277 locations, and validated model predictions using a wide-ranging field test (12 test sites, located at the areas from 22.49° N to 39.32° N, and 81.11° E to 123.53° E). We found that the degree-days below zero were the most important climate variable determining ginkgo distribution. Based on the model predictions, we classified the habitat suitability for ginkgo into four categories (high, medium, low, and unsuitable), accounting for 9.29%, 6.09%, 8.46%, and 76.16% of China’s land area, respectively. The ANOVA results of the validation test showed significant differences in observed leaf-traits among the four habitat types (p < 0.05), and importantly the rankings of the leaf traits were consistent with our classification of the habitat suitability, suggesting the effectiveness of our classification in terms of biological and economic significance. In addition, we projected that suitable (high and medium) habitats for ginkgo would shrink and shift northward under both the RCP4.5 and RCP8.5 climate change scenarios for three future periods (the 2020s, 2050s, and 2080s). However, the area of low-suitable habitat would increase, resulting in a slight decrease in unsuitable habitats. Our findings contribute to a better understanding of climate change impact on this plant and provide a scientific basis for developing adaptive strategies for future climate.
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Mazhar, Sarah, Guangmin Sun, Anas Bilal, Yu Li, Muhammad Farhan, and Hamid Hussain Awan. "Digital and Geographical Feature Detection by Machine Learning Techniques Using Google Earth Engine for CPEC Traffic Management." Wireless Communications and Mobile Computing 2022 (September 23, 2022): 1–12. http://dx.doi.org/10.1155/2022/1192752.
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The center of human settlements is in the cities, which must have high-quality habitats for their inhabitants. Many megachallenges of urbanization, population development, global advancement, environmental destruction, traffic management, and climate change must be addressed. This study is aimed at understanding how to maintain balanced land development in rapidly urbanizing towns to solve this challenge and mobility issues. Climate and weather forecasts, land cover, environmental indices, nonoptical and optical wavelengths, water history, and air quality are only some of the datasets available on Google Earth Engine, a publicly usable data repository. Machine learning techniques, i.e., random forest (RF), support vector machine (SVM), and classification and regression tree (CART), are used to monitor spatial-temporal change regarding water, vegetation, and urbanization for Pakistan from 2013 to 2021 using Landsat 8. The detection of urban land suitability concerning multiple metrics such as ecological response variables, environmental tension, socio-economic development potential, and natural resource potential is also found. Dataset features were classified as bands in the Google Earth Engine. Moreover, for 2020 and 2021, classification results showing the change in water, vegetation, and urbanization are also represented concerning China Pakistan Economic Corridor (CPEC) highway and the railway track to monitor and control traffic and its management.
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Banerji, Upasana S., P. Arulbalaji, and D. Padmalal. "Holocene climate variability and Indian Summer Monsoon: An overview." Holocene 30, no. 5 (January 8, 2020): 744–73. http://dx.doi.org/10.1177/0959683619895577.
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The response of the Indian Summer Monsoon (ISM) to forcing factors and climate variables has not yet fully explored, even though the ISM plays a pivotal role in the socio-economics of the Indian subcontinent and nearby areas. The ISM progression over Indian landmass is a manifestation of the Intertropical Convergence Zone (ITCZ) migration over the northern Indian Ocean and the Indian subcontinent. The recent anomalous behaviour of ISM raises the need for a better understanding of its spatio-temporal changes during the ongoing interglacial period termed as the Holocene period. The Holocene period has been classified further based on the globally observed abrupt climatic events at 8.2 and 4.2 ka. The 8.2 ka global cooling events have been recorded from northern Indian Ocean marine archives but limited records from the continental archives of the Indian landmass has demonstrated the 8.2 ka event. At the same time, the 4.2 ka dry climate has been endorsed by both marine as well as continental records and agrees with the global studies. During the ‘Little Ice Age’ (LIA), in the India subcontinent, wet conditions prevailed in the northern, central and western regions while a dry climate existed over the greater part of peninsular India. The present review offers an account of ISM signatures and possible mechanisms associated with the monsoon variability in the Indian subcontinent and the northern Indian Ocean during the Holocene period.
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Ivory, Sarah J., Margaret W. Blome, John W. King, Michael M. McGlue, Julia E. Cole, and Andrew S. Cohen. "Environmental change explains cichlid adaptive radiation at Lake Malawi over the past 1.2 million years." Proceedings of the National Academy of Sciences 113, no. 42 (October 3, 2016): 11895–900. http://dx.doi.org/10.1073/pnas.1611028113.
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Long paleoecological records are critical for understanding evolutionary responses to environmental forcing and unparalleled tools for elucidating the mechanisms that lead to the development of regions of high biodiversity. We use a 1.2-My record from Lake Malawi, a textbook example of biological diversification, to document how climate and tectonics have driven ecosystem and evolutionary dynamics. Before ∼800 ka, Lake Malawi was much shallower than today, with higher frequency but much lower amplitude water-level and oxygenation changes. Since ∼800 ka, the lake has experienced much larger environmental fluctuations, best explained by a punctuated, tectonically driven rise in its outlet location and level. Following the reorganization of the basin, a change in the pacing of hydroclimate variability associated with the Mid-Pleistocene Transition resulted in hydrologic change dominated by precession rather than the high-latitude teleconnections recorded elsewhere. During this time, extended, deep lake phases have abruptly alternated with times of extreme aridity and ecosystem variability. Repeated crossings of hydroclimatic thresholds within the lake system were critical for establishing the rhythm of diversification, hybridization, and extinction that dominate the modern system. The chronology of these changes closely matches both the timing and pattern of phylogenetic history inferred independently for the lake’s extraordinary array of cichlid fish species, suggesting a direct link between environmental and evolutionary dynamics.
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Kim, Jeong-Bae, and Deg-Hyo Bae. "Intensification characteristics of hydroclimatic extremes in the Asian monsoon region under 1.5 and 2.0 °C of global warming." Hydrology and Earth System Sciences 24, no. 12 (December 7, 2020): 5799–820. http://dx.doi.org/10.5194/hess-24-5799-2020.
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Abstract. Understanding the influence of global warming on regional hydroclimatic extremes is challenging. To reduce the potential risk of extremes under future climate states, assessing the change in extreme climate events is important, especially in Asia, due to spatial variability of climate and its seasonal variability. Here, the changes in hydroclimatic extremes are assessed over the Asian monsoon region under global mean temperature warming targets of 1.5 and 2.0 ∘C above preindustrial levels based on representative concentration pathways (RCPs) 4.5 and 8.5. Analyses of the subregions classified using regional climate characteristics are performed based on the multimodel ensemble mean (MME) of five bias-corrected global climate models (GCMs). For runoff extremes, the hydrologic responses to 1.5 and 2.0 ∘C global warming targets are simulated based on the variable infiltration capacity (VIC) model. Changes in temperature extremes show increasing warm extremes and decreasing cold extremes in all climate zones with strong robustness under global warming conditions. However, the hottest extreme temperatures occur more frequently in low-latitude regions with tropical climates. Changes in mean annual precipitation and mean annual runoff and low-runoff extremes represent the large spatial variations with weak robustness based on intermodel agreements. Global warming is expected to consistently intensify maximum extreme precipitation events (usually exceeding a 10 % increase in intensity under 2.0 ∘C of warming) in all climate zones. The precipitation change patterns directly contribute to the spatial extent and magnitude of the high-runoff extremes. Regardless of regional climate characteristics and RCPs, this behavior is expected to be enhanced under the 2.0 ∘C (compared with the 1.5 ∘C) warming scenario and increase the likelihood of flood risk (up to 10 %). More importantly, an extra 0.5 ∘C of global warming under two RCPs will amplify the change in hydroclimatic extremes on temperature, precipitation, and runoff with strong robustness, especially in cold (and polar) climate zones. The results of this study clearly show the consistent changes in regional hydroclimatic extremes related to temperature and high precipitation and suggest that hydroclimatic sensitivities can differ based on regional climate characteristics and type of extreme variables under warmer conditions over Asia.
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Mahmoodi, Nariman, Jens Kiesel, Paul D. Wagner, and Nicola Fohrer. "Spatially distributed impacts of climate change and groundwater demand on the water resources in a wadi system." Hydrology and Earth System Sciences 25, no. 9 (September 21, 2021): 5065–81. http://dx.doi.org/10.5194/hess-25-5065-2021.
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Abstract. Understanding current and possible future alterations of water resources under climate change and increased water demand allows for better water and environmental management decisions in arid regions. This study aims at analyzing the impact of groundwater demand and climate change on groundwater sustainability and hydrologic regime alterations in a wadi system in central Iran. A hydrologic model is used to assess streamflow and groundwater recharge of the Halilrood Basin on a daily time step under five different scenarios over the baseline period (1979–2009) and for two future scenario periods (near future: 2030–2059 and far future: 2070–2099). The Indicators of Hydrologic Alteration (IHA) with a set of 32 parameters are used in conjunction with the Range of Variability Approach (RVA) to evaluate hydrologic regime change in the river. The results show that groundwater recharge is expected to decrease and is not able to fulfill the increasing water demand in the far future scenario. The Halilrood River will undergo low and moderate streamflow alteration under both stressors during the near future as RVA alteration is classified as “high” for only three indicators, whereas stronger alteration is expected in the far future, with 11 indicators in the high range. Absolute changes in hydrologic indicators are stronger when both climate change and groundwater demand are considered in the far future simulations, since 27 indicators show significant changes, and the RVA shows high and moderate levels of changes for 18 indicators. Considering the evaluated RVA changes, future impacts on the freshwater ecosystems in the Halilrood Basin will be severe. The developed approach can be transferred to other wadi regions for a spatially distributed assessment of water resources sustainability.
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Fang, Yongqiang, Shiqiang Du, Paolo Scussolini, Jiahong Wen, Chunyang He, Qingxu Huang, and Jun Gao. "Rapid Population Growth in Chinese Floodplains from 1990 to 2015." International Journal of Environmental Research and Public Health 15, no. 8 (July 28, 2018): 1602. http://dx.doi.org/10.3390/ijerph15081602.
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Although China suffers from frequent and disastrous floods, the spatiotemporal pattern of its population living in the floodplain (PopF) is still unknown. This strongly limits our understanding of flood risk and the effectiveness of mitigation efforts. Here we present the first quantification of Chinese PopF and its dynamics, based on newly-available population datasets for years 1990, 2000, 2010, and 2015 and on a flood map. We found that the PopF in 2015 was 453.3 million and accounted for 33.0% of the total population, with a population density 3.6 times higher than outside floodplains. From 1990 to 2015, the PopF increased by 1.3% annually, overwhelmingly faster than elsewhere (0.5%). A rising proportion (from 53.2% in 1990 to 55.6% in 2015) of the PopF resided in flood zones deeper than 2 m. Moreover, the PopF is expected to increase rapidly in the coming decades. We also found the effect of flood memory on controlling PopF growth and its decay over time. These findings imply an exacerbating flood risk in China, which is concerning in the light of climate change and rapid socioeconomic development.
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Maciel, Adeline M., Michelle C. A. Picoli, Lubia Vinhas, and Gilberto Camara. "Identifying Land Use Change Trajectories in Brazil’s Agricultural Frontier." Land 9, no. 12 (December 10, 2020): 506. http://dx.doi.org/10.3390/land9120506.
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Many of the world’s agricultural frontiers are located in the tropics. Crop and cattle expansion in these regions has a strong environmental impact. This paper examines land use and land cover transformations in Brazil, where large swaths of natural vegetation are being removed to make way for agricultural production. In Brazil, the land use dynamics are of great interest regarding the country’s sustainable development and climate mitigation actions, leading to the formulation and implantation of public policies and supply chain interventions to reduce deforestation. This paper uses temporal trajectory analysis to discuss the patterns of agricultural practices change in the different biomes of Mato Grosso State, one of Brazil’s agricultural frontiers. Taking yearly land use and cover classified images from 2001 to 2017, we identified, quantified, and spatialized areas of stability, intensification, reduction, interchange, and expansion of single and double cropping. The LUC Calculus was used as a tool to extract information about trajectories and trajectories of change. Over two decades, the land use change trajectories uncover the interplay between forest removal, cattle raising, grain production, and secondary vegetation regrowth. We observed a direct relationship between the conversion of forest areas to pasture and of pasture to agriculture areas in the Amazon portion of the Mato Grosso State in different periods. Our results enable a better understanding of trends in agricultural practices.
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Boisvert-Marsh, Laura, Samuel Royer-Tardif, Philippe Nolet, Frédérik Doyon, and Isabelle Aubin. "Using a Trait-Based Approach to Compare Tree Species Sensitivity to Climate Change Stressors in Eastern Canada and Inform Adaptation Practices." Forests 11, no. 9 (September 15, 2020): 989. http://dx.doi.org/10.3390/f11090989.
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Despite recent advances in understanding tree species sensitivities to climate change, ecological knowledge on different species remains scattered across disparate sources, precluding their inclusion in vulnerability assessments. Information on potential sensitivities is needed to identify tree species that require consideration, inform changes to current silvicultural practices and prioritize management actions. A trait-based approach was used to overcome some of the challenges involved in assessing sensitivity, providing a common framework to facilitate data integration and species comparisons. Focusing on 26 abundant tree species from eastern Canada, we developed a series of trait-based indices that capture a species’ ability to cope with three key climate change stressors—increased drought events, shifts in climatically suitable habitat, increased fire intensity and frequency. Ten indices were developed by breaking down species’ response to a stressor into its strategies, mechanisms and traits. Species-specific sensitivities varied across climate stressors but also among the various ways a species can cope with a given stressor. Of the 26 species assessed, Tsuga canadensis (L.) Carrière and Abies balsamea (L.) Mill are classified as the most sensitive species across all indices while Acer rubrum L. and Populus spp. are the least sensitive. Information was found for 95% of the trait-species combinations but the quality of available data varies between indices and species. Notably, some traits related to individual-level sensitivity to drought were poorly documented as well as deciduous species found within the temperate biome. We also discuss how our indices compare with other published indices, using drought sensitivity as an example. Finally, we discuss how the information captured by these indices can be used to inform vulnerability assessments and the development of adaptation measures for species with different management requirements under climate change.
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Andani, Apri, Irham Irham, Jamhari Jamhari, and Any Suryantini. "Multifaceted Social and Environmental Disruptions Impact on Smallholder Plantations’ Resilience in Indonesia." Scientific World Journal 2022 (December 13, 2022): 1–17. http://dx.doi.org/10.1155/2022/6360253.
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As one of the most productive plantation producers in the world, Indonesia also faces rapid change in both social and environmental systems. These conditions are predicted to become more disruptive to the agricultural sector in the future. Therefore, understanding the impact of social and environmental disruption on smallholder plantations’ resilience is vital to formulate a strategy for the sustainability of farmers’ livelihoods in this country. Using survey data from 360 smallholding farmers in six villages from three districts in Bengkulu Province, Indonesia, the study deployed a multidimensional approach to assess smallholders’ resilience to social and environmental disruption as well as towards economic dynamics. There are four dimensions of smallholder resilience, namely, the ability of adaptation, recoverability, anticipation, and farmers’ innovation level. Social disruption was indicated by farmers’ demography, epidemic/family health, social conflict, culture clash, and intention on land conversion. Meanwhile, environmental disruption was shown by natural catastrophe incidents, climate variations, environmentally unfriendly cultivation activities, and land fires. Since the resilience level was classified as binary, bivariate probit model was used in the analysis. The result shows that smallholder plantations in Bengkulu Indonesia are categorized as innovative, and recoverable, but less adaptive, and less anticipatory farmers. Overall, more than 50% of smallholder plantations are classified as less resilient smallholders. The statistical result empirically uncovers that the intentions of land conversion, climate change, and environmentally unfriendly farming activities statistically have a significant contribution to the reduction of smallholder plantations’ resilience. Furthermore, the economic dynamisms such as lack of input availability, price volatility, demand uncertainty, and capital limitation have a significant negative impact on smallholder plantation resilience.
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Amorim, Jorge H., Magnuz Engardt, Christer Johansson, Isabel Ribeiro, and Magnus Sannebro. "Regulating and Cultural Ecosystem Services of Urban Green Infrastructure in the Nordic Countries: A Systematic Review." International Journal of Environmental Research and Public Health 18, no. 3 (January 29, 2021): 1219. http://dx.doi.org/10.3390/ijerph18031219.
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In the Nordic countries (Denmark, Finland, Iceland, Norway and Sweden), the Urban Green Infrastructure (UGI) has been traditionally targeted at reducing flood risk. However, other Ecosystem Services (ES) became increasingly relevant in response to the challenges of urbanization and climate change. In total, 90 scientific articles addressing ES considered crucial contributions to the quality of life in cities are reviewed. These are classified as (1) regulating ES that minimize hazards such as heat, floods, air pollution and noise, and (2) cultural ES that promote well-being and health. We conclude that the planning and design of UGI should balance both the provision of ES and their side effects and disservices, aspects that seem to have been only marginally investigated. Climate-sensitive planning practices are critical to guarantee that seasonal climate variability is accounted for at high-latitude regions. Nevertheless, diverging and seemingly inconsistent findings, together with gaps in the understanding of long-term effects, create obstacles for practitioners. Additionally, the limited involvement of end users points to a need of better engagement and communication, which in overall call for more collaborative research. Close relationships and interactions among different ES provided by urban greenery were found, yet few studies attempted an integrated evaluation. We argue that promoting interdisciplinary studies is fundamental to attain a holistic understanding of how plant traits affect the resulting ES; of the synergies between biophysical, physiological and psychological processes; and of the potential disservices of UGI, specifically in Nordic cities.
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Tiepolo, Maurizio, Maurizio Bacci, and Sarah Braccio. "Multihazard Risk Assessment for Planning with Climate in the Dosso Region, Niger." Climate 6, no. 3 (August 8, 2018): 67. http://dx.doi.org/10.3390/cli6030067.
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International aid for climate change adaptation in West Africa is increasing exponentially, but our understanding of hydroclimatic risks is not keeping pace with that increase. The aim of this article is to develop a multihazard risk assessment on a regional scale based on existing information that can be repeated over time and space and that will be useful during decision-making processes. This assessment was conducted in Dosso (Niger), the region most hit by flooding in the country, with the highest hydroclimatic risk in West Africa. The assessment characterizes the climate, identifies hazards, and analyzes multihazard risk over the 2011–2017 period for each of the region’s 43 municipalities. Hazards and risk level are compared to the intervention areas and actions of 6 municipal development plans and 12 adaptation and resilience projects. Over the past seven years, heavy precipitation and dry spells in the Dosso region have been more frequent than during the previous 30-year period. As many as 606 settlements have been repeatedly hit and 15 municipalities are classified as being at elevated-to-severe multihazard risk. The geographical distribution of the adaptation and resilience projects does not reflect the risk level. A third of the local development plans examined propose actions that are inconsistent with the main hydroclimatic threats.
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Ninomiya, Junichi, Yuya Taka, and Nobuhito Mori. "IMPACT ASSESSMENT OF CLIMATE CHANGE ON COASTAL HAZARDS DUE TO WINTER CYCLONE AROUND JAPAN USING LARGE ENSEMBLE DATABASE." Coastal Engineering Proceedings, no. 36 (December 30, 2018): 89. http://dx.doi.org/10.9753/icce.v36.risk.89.
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IPCC AR5 reported that the extreme events like tropical cyclone, heavy rainfall and so on will be strengthen. The winter cyclone is one of the cause of coastal hazard. The winter cyclone is defined as the extratropical depression with rapid development. It causes high wave and storm surge from winter to spring, and Japan sometimes have casualties and economical loss. Some researches reported that the number of winter cyclone tend to increase. Because its tendency seems to go on, future change estimation of winter cyclone activity is important for disaster reduction. Understanding of winter cyclone is developing. For example, Yoshida and Asuma showed that the winter cyclones are classified by their track and the development of winter cyclone is related to lateral heat flux. On the other hand, almost of all researches of impact assessment on coastal hazard focus on the tropical cyclone. Mori et al. showed the maximum potential storm surge in Japan using maximum potential intensity of tropical cyclone and GCM outputs, and large storm surge will increase. Shimura et al. showed that extreme wave caused by the tropical cyclone will develop at offshore region of east from Japan. This research aims to reveal stochastic future change of winter cyclone using the database for policy decision making for future climate change (after here, d4PDF) which is huge ensemble dataset of present- and futureclimate. Then, the risk of coastal hazard will be evaluate.
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Reyes, Ariadna. "Revealing the Contribution of Informal Settlements to Climate Change Mitigation in Latin America: A Case Study of Isidro Fabela, Mexico City." Sustainability 13, no. 21 (November 2, 2021): 12108. http://dx.doi.org/10.3390/su132112108.
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Given the implications of energy use in housing units for global warming, life cycle assessment (LCA) has been used to examine greenhouse gas (GHG) emissions. Although informal settlements, currently known as colonias populares, or barrios, house most of the urban population in Latin America, there is a poor understanding of how people in these communities use energy and contribute to GHG emissions. This investigation provides a comprehensive analysis of resource consumption in Mexico City’s colonia popular, including self-help housing, household energy consumption, and transportation. As there is no spatially specific data on energy use, the author conducted field research in the informal community of Isidro Fabela, founded in the 1960s. Isidro Fabela is an illuminating community that helps understand the energy use of informal settlements at advanced stages of urban consolidation. A mixed-method research approach served to collect empirical data through observations, household surveys, and in-depth interviews. Research sheds light on the efficient and sustainable ways in which families use energy, materials, and resources during self-help construction, and through their daily lives, in their community. The community-based LCA assessment finds that the contribution of Isidro Fabela to GHG emissions is 50% of the average impact in Mexico City. Natural gas or liquefied petroleum gas (LPG) consumption for water heating is the most significant contributor to GHG emissions because families use inefficient heaters. Interestingly, by using public transportation and even walking, residents moderate the contribution of work commutes to GHG emissions. Therefore, climate change policy should enhance low-energy practices in informal settlements, by improving access to energy-efficient technologies and public transportation, to help families contribute further to GHG mitigation in Mexico City and elsewhere in Latin America.
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Pu, Luoman, Shuwen Zhang, Jiuchun Yang, Liping Chang, and Shuting Bai. "Spatio-Temporal Dynamics of Maize Potential Yield and Yield Gaps in Northeast China from 1990 to 2015." International Journal of Environmental Research and Public Health 16, no. 7 (April 4, 2019): 1211. http://dx.doi.org/10.3390/ijerph16071211.
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Maize yield has undergone obvious spatial and temporal changes in recent decades in Northeast China. Understanding how maize potential yield has changed over the past few decades and how large the gaps between potential and actual maize yields are is essential for increasing maize yield to meet increased food demand in Northeast China. In this study, the spatial and temporal dynamics of maize potential yield in Northeast China from 1990 to 2015 were simulated using the Global Agro-ecological Zones (GAEZ) model at the pixel level firstly. Then, the yield gaps between actual and potential yields were analyzed at city scale. The results were the following. (1) The maize potential yield decreased by about 500 kg/ha and the potential production remained at around 260 million tonnes during 1990–2000. From 2000 to 2015, the maize potential yield and production increased by approximately 1000 kg/ha and 80 million tonnes, respectively. (2) The maize potential yield decreased in most regions of Northeast China in the first decade, such as the center area (CA), south area (SA), southwest area (SWA), and small regions in northeast area (NEA), due to lower temperature and insufficient rainfall. The maize potential yield increased elsewhere. (3) The maize potential yield increased by more than 1000 kg/ha in the center area (CA) in the latter 15 years, which may be because of the climate warming and sufficient precipitation. The maize potential yield decreased elsewhere and Harbin in the center area (CA). (4) In 40 cities of Northeast China, the rates of actual yield to potential yield in 17 cities were higher than 80%. The actual yields only attained 50–80% of the potential yields in 20 cities. The gaps between actual and potential yields in Hegang and Dandong were very large, which need to be shrunk urgently. The results highlight the importance of coping with climate change actively, arranging crop structure reasonably, improving farmland use efficiency and ensuring food security in Northeast China.
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Schmid, Magdalena M. E., Rachel Wood, Anthony J. Newton, Orri Vésteinsson, and Andrew J. Dugmore. "Enhancing Radiocarbon Chronologies of Colonization: Chronometric Hygiene Revisited." Radiocarbon 61, no. 2 (January 18, 2019): 629–47. http://dx.doi.org/10.1017/rdc.2018.129.
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ABSTRACTAccurately dating when people first colonized new areas is vital for understanding the pace of past cultural and environmental changes, including questions of mobility, human impacts and human responses to climate change. Establishing effective chronologies of these events requires the synthesis of multiple radiocarbon (14C) dates. Various “chronometric hygiene” protocols have been used to refine 14C dating of island colonization, but they can discard up to 95% of available 14C dates leaving very small datasets for further analysis. Despite their foundation in sound theory, without independent tests we cannot know if these protocols are apt, too strict or too lax. In Iceland, an ice core-dated tephrochronology of the archaeology of first settlement enables us to evaluate the accuracy of 14C chronologies. This approach demonstrated that the inclusion of a wider range of 14C samples in Bayesian models improves the precision, but does not affect the model outcome. Therefore, based on our assessments, we advocate a new protocol that works with a much wider range of samples and where outlying 14C dates are systematically disqualified using Bayesian Outlier Models. We show that this approach can produce robust termini ante quos for colonization events and may be usefully applied elsewhere.
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Pitcher, Tony J. "Back–to–the–future: a fresh policy initiative for fisheries and a restoration ecology for ocean ecosystems." Philosophical Transactions of the Royal Society B: Biological Sciences 360, no. 1453 (January 29, 2005): 107–21. http://dx.doi.org/10.1098/rstb.2004.1575.
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‘Back–to–the–future’ (BTF) is an integrative approach to a restoration ecology of the oceans that attempts to solve the fisheries crisis. To this end, it harnesses the latest understanding of ecosystem processes developments in whole ecosystem simulation modelling, and insight into the human dimension of fisheries management. BTF includes new methods for describing past ecosystems, designing fisheries that meet criteria for sustainability and responsibility, and evaluating the costs and benefits of fisheries in restored ecosystems. Evaluation of alternative policy choices, involving trade–offs between conservation and economic values, employs a range of economic, social and ecological measures. Automated searches maximize values of objective functions, and the methodology includes analyses of model parameter uncertainty. Participatory workshops attempt to maximize compliance by fostering a sense of ownership among all stakeholders. Some challenges that have still to be met include improving methods for quantitatively describing the past, reducing uncertainty in ecosystem simulation techniques and in making policy choices robust against climate change. Critical issues include whether past ecosystems make viable policy goals, and whether desirable goals may be reached from today's ecosystem. Examples from case studies in British Columbia, Newfoundland and elsewhere are presented.
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Koutnik, Michelle R., and Asmin V. Pathare. "Contextualizing lobate debris aprons and glacier-like forms on Mars with debris-covered glaciers on Earth." Progress in Physical Geography: Earth and Environment 45, no. 2 (February 17, 2021): 130–86. http://dx.doi.org/10.1177/0309133320986902.
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Debris-covered glaciers from around the world offer distinct environmental, climatic, and historical conditions from which to study the effects of debris on glacier-ice evolution. A rich literature on debris-covered glaciers exists from decades of field work, laboratory studies, remote-sensing observations, and numerical modeling. In general, the base of knowledge established by studying periglacial, glacial, and paraglacial landforms on Earth has been applied to aid interpretation of ice-rich or ice-remnant landforms on Mars, but research has progressed on both planets. For Mars, the spatial distribution of lobate debris aprons and glacier-like forms, in particular, is critical to constraining past climate conditions when such features were active, reconstructing past ice extent, and estimating the total inventory of buried ice remaining in the mid-latitudes of Mars. This review spans a range of knowledge about debris-covered glaciers on Earth, in order to add context to investigations of dust and debris-covered ice on Mars and to put research on both planets in a perspective aimed at maximizing process-based understanding of glacier evolution. The state of knowledge and some gaps in knowledge on Mars are discussed in relation to possible avenues for future research in how landforms are classified, advances in comparative planetology, and new understanding from future missions. While this review is focused primarily on processes controlling active debris-covered glaciers, a key to understanding glacier change through time is to consider individual landforms in context with the full-system environment in which they are found. For Earth, this includes understanding local and regional controls on current glacier change, and how these processes relate to landform development in the past as well as what may develop in the future. For Mars, this includes evaluating how present-day landforms elucidate past ice activity and environmental conditions during epochs when orbital parameters, climate, and water ice distribution were substantially different.
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Zander, Paul D., Maurycy Żarczyński, Wojciech Tylmann, Shauna-kay Rainford, and Martin Grosjean. "Seasonal climate signals preserved in biochemical varves: insights from novel high-resolution sediment scanning techniques." Climate of the Past 17, no. 5 (October 12, 2021): 2055–71. http://dx.doi.org/10.5194/cp-17-2055-2021.
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Abstract. Varved lake sediments are exceptional archives of paleoclimatic information due to their precise chronological control and annual resolution. However, quantitative paleoclimate reconstructions based on the biogeochemical composition of biochemical varves are extremely rare, mainly because the climate–proxy relationships are complex and obtaining biogeochemical proxy data at very high (annual) resolution is difficult. Recent developments in high-resolution hyperspectral imaging (HSI) of sedimentary pigment biomarkers combined with micro X-ray fluorescence (µXRF) elemental mapping make it possible to measure the structure and composition of varves at unprecedented resolution. This provides opportunities to explore seasonal climate signals preserved in biochemical varves and, thus, assess the potential for annual-resolution climate reconstruction from biochemical varves. Here, we present a geochemical dataset including HSI-inferred sedimentary pigments and µXRF-inferred elements at very high spatial resolution (60 µm, i.e. > 100 data points per varve year) in varved sediments of Lake Żabińskie, Poland, over the period 1966–2019 CE. We compare these data with local meteorological observations to explore and quantify how changing seasonal meteorological conditions influenced sediment composition and varve formation processes. Based on the dissimilarity of within-varve multivariate geochemical time series, we classified varves into four types. Multivariate analysis of variance shows that these four varve types were formed in years with significantly different seasonal meteorological conditions. Generalized additive models (GAMs) were used to infer seasonal climate conditions based on sedimentary variables. Spring and summer (MAMJJA) temperatures were predicted using Ti and total C (Radj2=0.55; cross-validated root mean square error (CV-RMSE) = 0.7 ∘C, 14.4 %). Windy days from March to December (mean daily wind speed > 7 m s−1) were predicted using mass accumulation rate (MAR) and Si (Radj2=0.48; CV-RMSE = 19.0 %). This study demonstrates that high-resolution scanning techniques are promising tools to improve our understanding of varve formation processes and climate–proxy relationships in biochemical varves. This knowledge is the basis for quantitative high-resolution paleoclimate reconstructions, and here we provide examples of calibration and validation of annual-resolution seasonal weather inference from varve biogeochemical data.
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Koufos, Georgios C., Theodoros Mavromatis, Stefanos Koundouras, Nikolaos M. Fyllas, Serafeim Theocharis, and Gregory V. Jones. "Greek Wine Quality Assessment and Relationships with Climate: Trends, Future Projections and Uncertainties." Water 14, no. 4 (February 14, 2022): 573. http://dx.doi.org/10.3390/w14040573.
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Grapevine phenology is particularly sensitive to temperature variations, with changes in climate shifting events earlier and advancing berry maturation into a hotter part of the growing cycle. Consequently, serious concerns regarding the negative influences of climate change on global wine quality have been raised, with the scientific community focusing on documenting these changes to better understand and address the impacts. This study adds to this knowledge by investigating air temperature and precipitation trends over the last 40 years (i.e., 1980–2019). Over the most recent period of records (i.e., 2000–2019), minimum air temperatures significantly increased at a higher rate than maximum temperatures. On the other hand, precipitation showed the least significant trends over time. In addition, wine quality assessment and identification of the most significant weather variables and climatic indices that correlate with wine quality rating scores have also been performed. To serve this purpose, data of wine quality ratings for nine white (W) and two red (R) indigenous winegrape varieties (Vitis vinifera L., cvs) grown in Greece were obtained from the database of Thessaloniki International Wine and Spirits Competition. The results showed a statistically significant upward trend over the recent past in the majority of the varieties studied. To examine future periods, mixed-effect model outputs for Greek wine-producing regions combining an ensemble dataset using RCP4.5 and RCP8.5 emission pathways during two future periods (i.e., 2041–2065 and 2071–2095) predicts wines of higher quality, especially during the latter time period. These results reveal that Greek wine quality rating variations are mainly driven by higher maximum temperatures and drier conditions during the growing season of the grapevines. However, two important issues need to be more fully explored in Greece and elsewhere; (1) non-linear responses to warming where wine quality could suffer above varietally specific optimum temperature thresholds and (2) a better understanding of how other non-climate-related factors (e.g., canopy management, winemaking innovations) affect wine quality in the face of a changing climate.
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Sommer, Rachel M., and Robert H. Cowie. "Invasive traits of veronicellid slugs in the Hawaiian Islands and temperature response suggesting possible range shifts under a changing climate." Journal of Molluscan Studies 86, no. 2 (February 17, 2020): 147–55. http://dx.doi.org/10.1093/mollus/eyz042.
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Abstract Understanding life history traits is important for assessing potential invasiveness, particularly in the context of the future spread of invasive species under climate change. A number of species of Veronicellidae have been introduced beyond their native ranges and have become invasive. Two of these species, Veronicella cubensis and Laevicaulis alte, are widespread in Hawaii, yet little is known of their life histories. This study of growth and reproduction and their relation to temperature in these two species was undertaken using laboratory stocks derived from individuals collected in Hawaii. More data were collected for V. cubensis than for L. alte because of difficulty maintaining the latter in the lab. Veronicella cubensis grew faster at 22 °C than at 27 °C. At 22 °C, the mean age at which V. cubensis first mated was 203 d, and the mean age when eggs were first laid was 226 d. Mating in V. cubensis lasted more than a day, and it took up to 4 d to lay an egg mass. Mating took less than a day in L. alte. No self-fertilization was recorded in V. cubensis, but a single L. alte individual maintained alone from hatching laid fertilized eggs. Sperm storage after a single mating in V. cubensis was estimated to last up to 6 months. In both species the time for eggs to hatch was shorter at 27 °C than at 22 °C. Hatchability was between 74 and 93%. Veronicella cubensis lived for at least 2 years and was estimated to produce at least 400 eggs over its life. Climate warming will probably lead to expansion of the ranges of V. cubensis and L. alte to higher elevations in Hawaii and elsewhere. Growth and reproduction will also be affected by a warming climate and therefore impact the success of these invasive species.
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Janzen, H. H., D. A. Angers, M. Boehm, M. Bolinder, R. L. Desjardins, J. Dyer, B. H. Ellert, et al. "A proposed approach to estimate and reduce net greenhouse gas emissions from whole farms." Canadian Journal of Soil Science 86, no. 3 (May 1, 2006): 401–18. http://dx.doi.org/10.4141/s05-101.
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Greenhouse gas emissions from farms can be suppressed in two ways: by curtailing the release of these gases (especially N2O and CH4), and by storing more carbon in soils, thereby removing atmospheric CO2. But most practices have multiple interactive effects on emissions throughout a farm. We describe an approach for identifying practices that best reduce net, whole-farm emissions. We propose to develop a “Virtual Farm”, a series of interconnected algorithms that predict net emissions from flows of carbon, nitrogen, and energy. The Virtual Farm would consist of three elements: descriptors, which characterize the farm; algorithms, which calculate emissions from components of the farm; and an integrator, which links the algorithms to each other and the descriptors, generating whole-farm estimates. Ideally, the Virtual Farm will be: boundary-explicit, with single farms as the fundamental unit; adaptable to diverse farm types; modular in design; simple and transparent; dependent on minimal, attainable inputs; internally consistent; compatible with models developed elsewhere; and dynamic (“seeing”into the past and the future). The Virtual Farm would be constructed via two parallel streams - measurement and modeling - conducted iteratively. The understanding built into the Virtual Farm may eventually be applied to issues beyond greenhouse gas mitigation. Key words: CO2, N2O, CH4, agroecosystems, models, climate change
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Widlansky, Sarah J., Ross Secord, Kathryn E. Snell, Amy E. Chew, and William C. Clyde. "Terrestrial carbon isotope stratigraphy and mammal turnover during post-PETM hyperthermals in the Bighorn Basin, Wyoming, USA." Climate of the Past 18, no. 4 (April 8, 2022): 681–712. http://dx.doi.org/10.5194/cp-18-681-2022.
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Abstract. Paleogene hyperthermals, including the Paleocene–Eocene Thermal Maximum (PETM) and several other smaller events, represent global perturbations to Earth's climate system and are characterized by warmer temperatures, changes in floral and faunal communities, and hydrologic changes. These events are identified in the geologic record globally by negative carbon isotope excursions (CIEs), resulting from the input of isotopically light carbon into Earth's atmosphere. Much about the causes and effects of hyperthermals remains uncertain, including whether all hyperthermals were caused by the same underlying processes, how biotic effects scale with the magnitude of hyperthermals, and why CIEs are larger in paleosol carbonates relative to marine records. Resolving these questions is crucial for a full understanding of the causes of hyperthermals and their application to future climate scenarios. The primary purpose of this study was to identify early Eocene hyperthermals in the Fifteenmile Creek area of the south-central Bighorn Basin, Wyoming, USA. This area preserves a sequence of fluvial floodplain sedimentary rocks containing paleosol carbonates and an extensive record of fossil mammals. Previous analysis of faunal assemblages in this area revealed two pulses of mammal turnover and changes in diversity interpreted to correlate with the ETM2 and H2 hyperthermals that follow the PETM. This was, however, based on long-distance correlation of the fossil record in this area with chemostratigraphic records from elsewhere in the basin. We present new carbon isotope stratigraphies using micrite δ13C values from paleosol carbonate nodules preserved in and between richly fossiliferous mammal localities at Fifteenmile Creek to identify the stratigraphic positions of ETM2 and H2. Carbon isotope results show that the ETM2 and H2 hyperthermals, and possibly the subsequent I1 hyperthermal, are recorded at Fifteenmile Creek. ETM2 and H2 overlap with the two previously recognized pulses of mammal turnover. The CIEs for these hyperthermals are also somewhat smaller in magnitude than in more northerly Bighorn Basin records. We suggest that basin-wide differences in soil moisture and/or vegetation could contribute to variable CIE amplitudes in this and other terrestrial records.