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Статті в журналах з теми "049999 Earth Sciences not elsewhere classified"
Conesa, Francesc C., Hector A. Orengo, Agustín Lobo, and Cameron A. Petrie. "An Algorithm to Detect Endangered Cultural Heritage by Agricultural Expansion in Drylands at a Global Scale." Remote Sensing 15, no. 1 (December 22, 2022): 53. http://dx.doi.org/10.3390/rs15010053.
Повний текст джерелаOviatt, Charles G., David B. Madsen, and Dave N. Schmitt. "Late Pleistocene and early Holocene rivers and wetlands in the Bonneville basin of western North America." Quaternary Research 60, no. 2 (September 2003): 200–210. http://dx.doi.org/10.1016/s0033-5894(03)00084-x.
Повний текст джерелаXu, Feng, Zhaofu Li, Shuyu Zhang, Naitao Huang, Zongyao Quan, Wenmin Zhang, Xiaojun Liu, Xiaosan Jiang, Jianjun Pan, and Alexander V. Prishchepov. "Mapping Winter Wheat with Combinations of Temporally Aggregated Sentinel-2 and Landsat-8 Data in Shandong Province, China." Remote Sensing 12, no. 12 (June 26, 2020): 2065. http://dx.doi.org/10.3390/rs12122065.
Повний текст джерелаVenyo, Anthony Kodzo-Grey. "Signet Ring Cell Carcinoma of the Prostate Gland: A Review and Update." Cancer Research and Cellular Therapeutics 5, no. 3 (July 26, 2021): 01–14. http://dx.doi.org/10.31579/2640-1053/082.
Повний текст джерелаVeloso-Alarcón, Mario E., Peter Urban, Tim Weiss, Kevin Köser, Mengkun She, and Jens Greinert. "Quantitatively Monitoring Bubble-Flow at a Seep Site Offshore Oregon: Field Trials and Methodological Advances for Parallel Optical and Hydroacoustical Measurements." Frontiers in Earth Science 10 (July 22, 2022). http://dx.doi.org/10.3389/feart.2022.858992.
Повний текст джерелаДисертації з теми "049999 Earth Sciences not elsewhere classified"
Sanches, Ieda Del'Arco. "Hyperspectral proximal sensing of the botanical composition and nutrient content of New Zealand pastures : a thesis presented in partial fulfilment of the requirements for the degree of Doctor of Philosophy in Earth Science." Massey University, 2009. http://hdl.handle.net/10179/1194.
Повний текст джерела(6941345), Junrong Zha. "Modeling the Impacts of Changes in Soil Microbes and Mosses on Arctic Terrestrial Ecosystem Carbon Dynamics." Thesis, 2019.
Знайти повний текст джерела(6630563), Darryl Reano. "GeoConnections: The Impacts of Geoscience Education Informed by Indigenous Research Frameworks." Thesis, 2019.
Знайти повний текст джерелаAll of the work described in this dissertation involves the use of Indigenous research frameworks to design research projects, to facilitate communication with Indigenous communities that I have collaborated with, and also to teach and mentor undergraduate and graduate students. Indigenous research frameworks emphasize the importance of place in relation to the integrity of cultural values espoused by many Indigenous communities. This entails a respect for the spirituality component of Indigenous people because this is often directly tied to relationships between the land, animals, and plants of their local environments.
While some research has been conducted to help understand Indigenous people’s understandings of geoscience, less emphasis has been placed on recognizing and leveraging common connections Indigenous students make between their Traditional cultures and Western science. Thus, the research presented in this dissertation identifies connections Indigenous learners make between geology concepts and their everyday lives and cultural traditions in both formal and informal settings. Some of these connections have been integrated into place-based geoscience education modules that were implemented within an introductory environmental science course.
Qualitative analysis, using a socioTransformative constructivism theoretical lens, of semi-structured interviews after implementation of a Sharing/Learning program for an Acoma pilot project, implemented informally, and for a series of geoscience education modules at a private university provides evidence that elements reflective of the use of sociotransformative constructivism (e.g. connections between global and localized environmental issues) were acknowledged by the participants as particularly impactful to their experience during implementation of the geoscience-focused activities. In addition to the socioTransformative theoretical perspective, Indigenous research frameworks (i.e. Tribal Critical Race Theory) were used to contextualize the educational interventions for two different Indigenous communities, Acoma Pueblo and the Confederated Tribes and Bands of the Yakama Nation. Tribal Critical Race Theory was not used to analyze the semi-structured interviews. Instead the Indigenous research frameworks were used to ensure that the research practices undertaken within these Indigenous communities were respectful of the Indigenous community’s cultural values, that Indigenous data sovereignty was paramount, and so that the research objectives were transparent. In addition, permission to publish the results of this research was sought from the governing entities of both Tribal Councils of Acoma Pueblo and the Yakama Nation.
The research presented in this dissertation provides evidence that academic research can be undertaken in respectful ways that benefit Indigenous communities. The connections that participants in the Acoma Sharing/Learning program could potentially be used to create more culturally relevant educational materials for the Acoma Pueblo community, if that is what the governing entities of the Acoma Pueblo community desire. The modules implemented more formally at a private university could potentially, with permission from the governing entities of the Yakama Nation, be integrated into geoscience programs at a broader level creating opportunities for contemporary Indigenous perspectives to be valued alongside Western modern science. Moving forward, this could potentially increase interest among Indigenous community members in pursuing academic pathways within geoscience disciplines.
The research pursued in this dissertation is only a beginning. Approaches to research that promote the agency of local communities in the types of research questions asked and how that research is conducted should be a priority for Western scientists to maintain a respectful relationship with the many communities, Indigenous and non-Indigenous, in which they work. It is my intention to be part of this revolution in how academic researchers interact with contemporary Indigenous communities as well as the next generation of scientists. In the future, my research will continue to serve and benefit Indigenous communities, but I will also begin asking research questions that will help increase the use of diverse and equitable practices within academia. In this way, I hope to bridge the two worlds of Indigenous Knowledge systems and Western science with the primary purpose of maintaining respect among these two communities. In the future, my research will focus on how these respectful practices can move beyond academic research and pedagogy into the realms of professional development, mentoring, and community revitalization.
(9183308), Maria Del Rosario Uribe Diosa. "CLIMATE, LAND COVER CHANGE AND THE SEASONALITY OF PHOTOSYNTHETIC ACTIVITY AND EVAPOTRANSPIRATION IN TROPICAL ECOSYSTEMS." Thesis, 2020.
Знайти повний текст джерелаTropical 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.
(8790095), Abdullah Khan Zehady. "DATA MINING AND VISUALIZATION OF EARTH HISTORY DATASETS FROM GEOLOGICAL TIMESCALE CREATOR PROJECT." Thesis, 2020.
Знайти повний текст джерелаThe Geologic TimeScale Creator (TSCreator) project has compiled a range of paleo-environmental and bio-diversity data which provides the opportunity to explore origination, speciation and extinction events. My PhD research has four major interconnected themes which include the visualization methods of evolutionary tree and the impacts of climate change on the evolution of life in longer and shorter timeframes: (1) Evolutionary range data of planktonic foraminifera and nannofossils over the Cenozoic era have been updated with our latest geological timescale. These evolutionary ranges can be visualized in the form of interactive, extensible evolutionary trees and can be compared with other geologic data columns. (2) A novel approach of integrating morphospecies and lineage trees is proposed to expand the scope of exploration of the evolutionary history of microfossils. It is now possible to visualize morphological changes and ancestor-descendant lineage relationships on TSCreator charts which helps mutual learning of these species based on genetic and bio-stratigraphic studies. (3) These evolutionary datasets have been used to analyze semi-periodic cycles in the past bio-diversity and characteristic rates of turnover. Well-known Milankovitch cycles have been found as the drivers of fluctuations in the speciation and extinction processes. (4) Within a shorter 2000-year time period, global cooling events might have been a factor of human civilization turnover. Using our regional and global cultural turnover time series data, the effect of climate change on human culture has been proposed. The enhancement of the evolutionary visualization system accomplished by this research will hopefully allow academic and non-academic users across the world to research and easily explore Earth history data through publicly available TSCreator program and websites.
(9193685), Siwei Fan. "The Light Curve Simulation and Its Inversion Problem for Human-Made Space Objects." Thesis, 2020.
Знайти повний текст джерела(8771531), Licheng Liu. "Quantifying Global Exchanges of Methane and Carbon Monoxide Between Terrestrial Ecosystems and The Atmosphere Using Process-based Biogeochemistry Models." Thesis, 2020.
Знайти повний текст джерелаMethane (CH4) is the second most powerful greenhouse gas (GHG) behind carbon dioxide (CO2), and is able to trap a large amount of long-wave radiation, leading to surface warming. Carbon monoxide (CO) plays an important role in controlling the oxidizing capacity of the atmosphere by reacting with OH radicals that affect atmospheric CH4 dynamics. Terrestrial ecosystems play an important role in determining the amount of these gases into the atmosphere. However, global quantifications of CH4 emissions from wetlands and its sinks from uplands, and CO exchanges between land and the atmosphere are still fraught with large uncertainties, presenting a big challenge to interpret complex atmospheric CH4 dynamics in recent decades. In this dissertation, I apply modeling approaches to estimate the global CH4 and CO exchanges between land ecosystems and the atmosphere and analyze how they respond to contemporary and future climate change.
Firstly, I develop a process-based biogeochemistry model embedded in Terrestrial Ecosystem Model (TEM) to quantify the CO exchange between soils and the atmosphere at the global scale (Chapter 2). Parameterizations were conducted by using the CO in situ data for eleven representative ecosystem types. The model is then extrapolated to global terrestrial ecosystems. Globally soils act as a sink of atmospheric CO. Areas near the equator, Eastern US, Europe and eastern Asia will be the largest sink regions due to their optimum soil moisture and high temperature. The annual global soil net flux of atmospheric CO is primarily controlled by air temperature, soil temperature, SOC and atmospheric CO concentrations, while its monthly variation is mainly determined by air temperature, precipitation, soil temperature and soil moisture.
Secondly, to better quantify the global CH4 emissions from wetlands and their uncertainties, I revise, parameterize and verify a process-based biogeochemical model for methane for various wetland ecosystems (Chapter 3). The model is then extrapolated to the global scale to quantify the uncertainty induced from four different types of uncertainty sources including parameterization, wetland type distribution, wetland area distribution and meteorological input. Spatially, the northeast US and Amazon are two hotspots of CH4 emissions, while consumption hotspots are in the eastern US and eastern China. The relationships between both wetland emissions and upland consumption and El Niño and La Niña events are analyzed. This study highlights the need for more in situ methane flux data, more accurate wetland type and area distribution information to better constrain the model uncertainty.
Thirdly, to further constrain the global wetland CH4 emissions, I develop a predictive model of CH4 emissions using an artificial neural network (ANN) approach and available field observations of CH4 fluxes (Chapter 4). Eleven explanatory variables including three transient climate variables (precipitation, air temperature and solar radiation) and eight static soil property variables are considered in developing the ANN models. The models are then extrapolated to the global scale to estimate monthly CH4 emissions from 1979 to 2099. Significant interannual and seasonal variations of wetland CH4 emissions exist in the past four decades, and the emissions in this period are most sensitive to variations in solar radiation and air temperature. This study reduced the uncertainty in global CH4 emissions from wetlands and called for better characterizing variations of wetland areas and water table position and more long-term observations of CH4 fluxes in tropical regions.
Finally, in order to study a new pathway of CH4 emissions from palm tree stem, I develop a two-dimensional diffusion model. The model is optimized using field data of methane emissions from palm tree stems (Chapter 5). The model is then extrapolated to Pastaza-Marañón foreland basin (PMFB) in Peru by using a process-based biogeochemical model. To our knowledge, this is among the first efforts to quantify regional CH4 emissions through this pathway. The estimates can be improved by considering the effects of changes in temperature, precipitation and radiation and using long-period continuous flux observations. Regional and global estimates of CH4 emissions through this pathway can be further constrained using more accurate palm swamp classification and spatial distribution data of palm trees at the global scale.
(10724127), Jennifer C. H. Newall. "RECONSTRUCTING ICE SHEET SURFACE CHANGES IN WESTERN DRONNING MAUD LAND, ANTARCTICA." Thesis, 2021.
Знайти повний текст джерелаUnderstanding climate-driven changes in global land-based ice volume is a critical component in our capability to predict how global sea level will rise as a consequence of the current human-driven climate change. At the last glacial maximum (LGM, which peaked around 20 ka), ephemeral ice sheets covered vast regions of the northern hemisphere while both the Greenland and Antarctic ice sheets were more extensive than at present. As global temperatures rose at the transition into the Holocene, driving the LGM deglaciation, eustatic sea level rose by approximately 125 m. The east Antarctic ice sheet (EAIS) is the largest ice sheet on Earth today, holding an ice volume equivalent to ca. 53 m rise in global sea level. Considering current trends in global climate, specifically rapidly increasing atmospheric CO2 levels and global temperature, it is important to improve our understanding of how the EAIS will respond to global warming so that we can make better predictions of future sea level changes to guide community adaptation and planning efforts. Numerical ice sheet models which inform projections of future ice volume changes, and can, therefore, yield projections of sea level rise, rely on empirical data to test their ability to accurately represent former and present ice configurations. However, there is a general lack of data on the paleoglaciology of the EAIS along the western Dronning Maud Land (DML) margin. In order to address this situation, the paleoglaciology of western DML forms the focus of the work presented in this thesis.
Together with collaborators within the MAGIC-DML consortium (Mapping, Measuring and Modelling Antarctic Geomorphology and Ice Change in Dronning Maud Land) that provides the funding for this MS project, the author has performed geomorphological mapping across western DML; an area of approximately 200,000 km2. The results of the mapping presented in this thesis will provide the basis for a detailed glacial reconstruction of the region. The geomorphological mapping was completed almost entirely by remote sensing using very high-resolution (sub-meter in the panchromatic) WordView-2 and WorldView-3 (WV) satellite imagery, combined with ground validation studies during field work. Compared to Landsat products, the improved spatial resolution provided by WV imagery has fundamentally changed the scale and detail at which remote sensing based geomorphological mapping can be completed. The mapping presented here is focused on the glacial geomorphology of mountain summits and flanks that protrude through the ice sheet’s surface (nunataks). In our study area of western DML these nunatak surfaces make up <0.2 % of the total surface area, and the landforms mapped here are generally smaller than can be identified from Landsat products (30 m spatial resolution). The detail achieved in our mapping, across such a vast, remote area that presents numerous obstacles to accessibility highlights the benefits of utilizing the new VHR WV data. As such an evaluation of the WV data, as applied to geomorphological mapping is presented here together with our mapping of the glacial geomorphology of western DML. The results of which provides evidence of ice having overridden sites at all elevations across the entire study area; from the highest elevation inland nunataks that form the coast-parallel escarpment, to low-elevation emerging nunataks close to the coast. Hence from our studies of the glacial geomorphology of this region we can ascertain that, at some point in the glacial history of western DML, ice covered all of the mountain summits that are exposed today, indicating an ice sheet surface lowering of up to 700 m in some places.