Academic literature on the topic 'Understanding climate change not elsewhere classified'
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Journal articles on the topic "Understanding climate change not elsewhere classified"
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.
Full textWaitt, 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.
Full textTibola 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.
Full textRaven, 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.
Full textFünfgeld, 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.
Full textSpracklen, 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.
Full textChen, 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.
Full textRamadan, 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.
Full textZsarnoczky, 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.
Full textMartin, 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.
Full textDissertations / Theses on the topic "Understanding climate change not elsewhere classified"
(6632552), Heather A. W. Cann. "BEYOND THE CLIMATE SCIENCE WARS: ELITE FRAMING AND CLIMATE CHANGE POLICY CONFLICT." Thesis, 2019.
Find full text(11309136), Janel E. Jett. "Expanding Skepticism: Populist Climate Change Communication in the U.S. Media." Thesis, 2021.
Find full text(6592994), Nicholas R. Olsen. "Long Term Trends in Lake Michigan Wave Climate." Thesis, 2019.
Find full textTests show significant long-term decreases in annual mean wave height in the lake's southern basin (up to -1.5mm/yr). When wave-approach direction was removed by testing directional bins for trends independently, an increase in the extent of the affected coast and rate of the shrinking waves was found (up to -4mm/yr). A previously unseen increasing trend in wave size in the northern basin (up to 2mm/yr) was also revealed.
Data from the WIS model indicated that storm duration and peak wave height in the southern basin has decreased at an averaged rate of -0.085hr/yr and -5mm/yr, respectively, from 1979 to 2017. An analysis of the extreme value distribution's shape in the southern basin found a similar pattern in the WIS hindcast model, with the probability of observing a wave larger than 5 meters decreasing by about -0.0125yr-1. In the northern basin, the probability of observing a wave of the same size increased at a rate of 0.0075yr-1.
The results for trends in the annual means revealed the importance of removing temporal- and spatial-within-series dependencies, in wave-height data. The strong dependence of lake waves on approach direction, as compared to ocean waves, may result from the relatively large differences in fetch length in the enclosed body of water. Without removal or isolation of these dependencies trends may be lost. Additionally, removal of the seasonal component in lake water level and mean wave-height series revealed that there was no significant correlation between these series.
(8943599), Bi Zhao. "BETTER TOGETHER? PARTICIPATION AND INTERACTION AMONG NGOS AT THE UN CLIMATE CHANGE SUMMITS." Thesis, 2020.
Find full textDoes increased participation of non-governmental organizations (NGOs) improve the democratic quality at intergovernmental organizations (IGOs)? Multilateral institutions and global governance mechanisms have emerged during the past few decades to tackle global challenges, such as climate change. However, policy making institutions such as IGOs are often viewed as lacking democratic legitimacy. The decision- making process remains tied to nation-states represented often by non-elected delegates, yet the decisions affect people who do not have a say in the process. One remedy proposed by global governance scholars to close such democratic deficit is to include a variety of stakeholders such as non-governmental actors. I challenge the conventional wisdom that assumes the democratic potential of these actors, and unpack the “blackbox” of NGOs to assess their internal politics.
To assess their role in global governance, we need to understand the substantive participation and patterns of interaction among the NGOs at the governance institutions. I construct a multilevel theoretical framework from a social network perspective to understand their participation and interaction. The theoretical framework is based on transnational social movement theory and social network theory.
I draw on the example of women’s groups working at the United Nations Framework Convention on Climate Change (UNFCCC) annual conferences. Employing both quantitative statistical analysis and network analysis, I demonstrate an evident increase in women’s groups that participate substantively at the UNFCCC. How- ever, the growth is accompanied by inequality in participation. Not all groups that attend the UNFCCC participate in collective advocacy or network actively. The variation is associated with the capacity and social embeddedness of a given organization. Furthermore, the community working on women’s issues has become fragmented over- time. The fragmentation is a result of NGOs’ different strategies and understandings of their role in global climate governance. The institutional context of UNFCCC has also contributed to the fragmentation. Overall, these civil society actors contribute to the democratization of the UNFCCC process by adding new voices, establishing new issue linkages, and raising awareness for women’s rights and gender equality. At the same time, however, the internal inequality and the power imbalance could further exacerbate the democratic deficit in the global climate governance process.
I have independently collected data on over 800 actors at the UN climate conferences. I have also conducted semi-structured, in-depth interviews with civil society representatives at the UN climate change summits in 2017 and 2018. The findings contribute to the understanding of democratic legitimacy in global governance of large-scale, transnational challenges by analyzing both macro-level network relation- ships among actors and the micro-level mechanisms among network members.
(9183308), Maria Del Rosario Uribe Diosa. "CLIMATE, LAND COVER CHANGE AND THE SEASONALITY OF PHOTOSYNTHETIC ACTIVITY AND EVAPOTRANSPIRATION IN TROPICAL ECOSYSTEMS." Thesis, 2020.
Find full textTropical ecosystems play a key role in regulating the global climate and the carbon cycle thanks to the large amounts of water and carbon exchanged with the atmosphere. These biogeochemical fluxes are largely the result of high photosynthetic rates. Photosynthetic activity is highly dependent on climate and vegetation, and therefore can be easily modified along with changes in those two factors. A better understanding of what drives or alters photosynthetic activity in the tropics will lead to more accurate predictions of climate and subsequent effects on ecosystems. The seasonal pattern of photosynthetic activity is one of the main uncertainties that we still have about tropical ecosystems. However, this seasonality of tropical vegetation and its relationship to climate change and land cover is key to understanding how these ecosystems could be affected and have an effect on climate.
In this dissertation, I present three projects to improve our understanding about tropical ecosystems and how their photosynthetic activity is affected by climate and land cover change. The lack of field-based data has been one of the main limiting factors in our study of tropical ecosystems. Therefore, in these projects I extensively use remote sensing-derived data to analyze large scale and long term patterns. In the first study, I looked at the seasonal relationship between photosynthetic activity and climate, and how model simulations represent it. Vegetation in most of the tropics is either positively correlated with both water and light, or positively correlated with one of them and negatively with the other. Ecosystem models largely underestimate positive correlations with light and overestimate positive correlations with water. In the second study, I focus on the effect of land cover change in photosynthetic activity and transpiration in a highly deforested region in the Amazon. I find that land cover change decreases tropical forests photosynthetic activity and transpiration during the dry season. Also, land cover change increases the range of photosynthetic activity and transpiration in forests and shrublands. These effects are intensified with increasing land cover change. In the last project, I quantify the amount of change in evapotranspiration due to land cover change in the entire Amazon basin. Our remote sensing-derived estimates are well aligned with model predictions published in the past three decades. These results increase our confidence in climate models representation of evapotranspiration in the Amazon.
Findings from this dissertation highlight (1) the importance of the close relationship between climate and photosynthetic activity and (2) how land cover change is altering that relationship. We hope our results can build on our knowledge about tropical ecosystems and how they could change in the future. We also expect our analysis to be used for model benchmarking and tropical ecosystem monitoring.
(5930027), Ganeshchandra Mallya. "DROUGHT CHARACTERIZATION USING PROBABILISTIC MODELS." Thesis, 2020.
Find full textDroughts are complex natural disasters caused due to deficit in water availability over a region. Water availability is strongly linked to precipitation in many parts of the world that rely on monsoonal rains. Recent studies indicate that the choice of precipitation datasets and drought indices could influence drought analysis. Therefore, drought characteristics for the Indian monsoon region were reassessed for the period 1901-2004 using two different datasets and standard precipitation index (SPI), standardized precipitation-evapotranspiration index (SPEI), Gaussian mixture model-based drought index (GMM-DI), and hidden Markov model-based drought index (HMM-DI). Drought trends and variability were analyzed for three epochs: 1901-1935, 1936-1970 and 1971-2004. Irrespective of the dataset and methodology used, the results indicate an increasing trend in drought severity and frequency during the recent decades (1971-2004). Droughts are becoming more regional and are showing a general shift to the agriculturally important coastal south-India, central Maharashtra, and Indo‑Gangetic plains indicating food security challenges and socioeconomic vulnerability in the region.
Drought severities are commonly reported using drought classes obtained by assigning pre-defined thresholds on drought indices. Current drought classification methods ignore modeling uncertainties and provide discrete drought classification. However, the users of drought classification are often interested in knowing inherent uncertainties in classification so that they can make informed decisions. A probabilistic Gamma mixture model (Gamma-MM)-based drought index is proposed as an alternative to deterministic classification by SPI. The Bayesian framework of the proposed model avoids over-specification and overfitting by choosing the optimum number of mixture components required to model the data - a problem that is often encountered in other probabilistic drought indices (e.g., HMM-DI). When sufficient number of components are used in Gamma-MM, it can provide a good approximation to any continuous distribution in the range (0,infinity), thus addressing the problem of choosing an appropriate distribution for SPI analysis. The Gamma-MM propagates model uncertainties to drought classification. The method is tested on rainfall data over India. A comparison of the results with standard SPI shows significant differences, particularly when SPI assumptions on data distribution are violated.
Finding regions with similar drought characteristics is useful for policy-makers and water resources planners in the optimal allocation of resources, developing drought management plans, and taking timely actions to mitigate the negative impacts during droughts. Drought characteristics such as intensity, frequency, and duration, along with land-use and geographic information, were used as input features for clustering algorithms. Three methods, namely, (i) a Bayesian graph cuts algorithm that combines the Gaussian mixture model (GMM) and Markov random fields (MRF), (ii) k-means, and (iii) hierarchical agglomerative clustering algorithm were used to find homogeneous drought regions that are spatially contiguous and possess similar drought characteristics. The number of homogeneous clusters and their shape was found to be sensitive to the choice of the drought index, the time window of drought, period of analysis, dimensionality of input datasets, clustering method, and model parameters of clustering algorithms. Regionalization for different epochs provided useful insight into the space-time evolution of homogeneous drought regions over the study area. Strategies to combine the results from multiple clustering methods were presented. These results can help policy-makers and water resources planners in the optimal allocation of resources, developing drought management plans, and taking timely actions to mitigate the negative impacts during droughts.
Books on the topic "Understanding climate change not elsewhere classified"
Hensley, Nathan K., and Philip Steer, eds. Ecological Form. Fordham University Press, 2018. http://dx.doi.org/10.5422/fordham/9780823282128.001.0001.
Full textJohansen, Bruce, and Adebowale Akande, eds. Nationalism: Past as Prologue. Nova Science Publishers, Inc., 2021. http://dx.doi.org/10.52305/aief3847.
Full textBook chapters on the topic "Understanding climate change not elsewhere classified"
Huntley, David, Peter Bobrowsky, Roger MacLeod, Drew Rotheram-Clarke, Robert Cocking, Jamel Joseph, Jessica Holmes, et al. "IPL Project 202: Landslide Monitoring Best Practices for Climate-Resilient Railway Transportation Corridors in Southwestern British Columbia, Canada." In Progress in Landslide Research and Technology, Volume 1 Issue 1, 2022, 249–65. Cham: Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-16898-7_18.
Full textDouvinet, Johnny. "Post-Fire Debris Flow Susceptibility Assessment Tracking the “Cauliflower effect”: A Case Study in Montecito, USA." In Floods - Understanding Existing and Emerging Risk Drivers in a Climate Change Context [Working Title]. IntechOpen, 2022. http://dx.doi.org/10.5772/intechopen.107510.
Full textPlant, Jane A., and Barry Smith. "Environmental Geochemistry on a Global Scale." In Geology and Health. Oxford University Press, 2003. http://dx.doi.org/10.1093/oso/9780195162042.003.0028.
Full textCalvert, Jack, Abdelwahid Mellouki, John Orlando, Michael Pilling, and Timothy Wallington. "The Influence of Oxygenates on the Atmospheric Chemistry of Urban, Rural, and Global Environments." In Mechanisms of Atmospheric Oxidation of the Oxygenates. Oxford University Press, 2011. http://dx.doi.org/10.1093/oso/9780199767076.003.0013.
Full textCrouch, Dora P. "Karst: The Hydrogeological Basis of Civilization." In Water Management in Ancient Greek Cities. Oxford University Press, 1993. http://dx.doi.org/10.1093/oso/9780195072808.003.0016.
Full textConference papers on the topic "Understanding climate change not elsewhere classified"
Stillwell, Ashlynn S., and Michael E. Webber. "Feasibility of Wind Power for Brackish Groundwater Desalination: A Case Study of the Energy-Water Nexus in Texas." In ASME 2010 4th International Conference on Energy Sustainability. ASMEDC, 2010. http://dx.doi.org/10.1115/es2010-90158.
Full textReports on the topic "Understanding climate change not elsewhere classified"
Mäkelä, Antti, Tapio Tourula, Heikki Tuomenvirta, Pauli Jokinen, Terhi Laurila, Ari-Juhani Punkka, Minna Huuskonen, Tuomo Brgman, and Hannu Valta. Climate change impacts to the security of supply. Finnish Meteorological Institute, 2023. http://dx.doi.org/10.35614/isbn.9789523361645.
Full textHuntley, D., D. Rotheram-Clarke, R. Cocking, J. Joseph, and P. Bobrowsky. Understanding plateau and prairie landslides: annual report on landslide research in the Thompson River valley, British Columbia, and the Assiniboine River valley, Manitoba-Saskatchewan (2020-2021 to 2021-2022). Natural Resources Canada/CMSS/Information Management, 2022. http://dx.doi.org/10.4095/329205.
Full textHuntley, D., D. Rotheram-Clarke, R. Cocking, J. Joseph, and P. Bobrowsky. Current research on slow-moving landslides in the Thompson River valley, British Columbia (IMOU 5170 annual report). Natural Resources Canada/CMSS/Information Management, 2022. http://dx.doi.org/10.4095/331175.
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