Knowledge Resource Center for Ecological Environment in Arid Area
| 项目编号 | 1655499 |
| LTER: Sevilleta (SEV) Site: Climate Variability at Dryland Ecotones | |
| Jennifer Rudgers | |
| 主持机构 | University of New Mexico |
| 开始日期 | 2018-07-15 |
| 结束日期 | 2023-12-31 |
| 资助经费 | 4178997(USD) |
| 项目类别 | Continuing Grant |
| 资助机构 | US-NSF（美国国家科学基金会） |
| 项目所属计划 | LONG TERM ECOLOGICAL RESEARCH |
| 语种 | 英语 |
| 国家 | 美国 |
| 英文简介 | Arid areas, which already comprise more than 40% of land on earth, are expanding in many places. Yearly differences in climate greatly affect the ecology and evolution of plants and animals in these drylands. The Sevilleta Long-Term Ecological Research (LTER) site in New Mexico includes five major dryland habitats or ecosystems. This research will expand ecological knowledge of those ecosystems. The guiding question is: How do long-term climate trends drive what happens in dryland ecosystems? In particular, how does one type of dryland ecosystem get turned into another type? Scientists will develop new theory to predict what happens when, for example, it rains less. They will collect the long-term data needed to test their ideas. They will also do experiments that change patterns of rainfall. This project will allow scientists to improve forecasts for drylands, transforming our understanding of these ecosystems worldwide. Scientists at Sevilleta will recruit and train a diverse workforce through activities at all levels of learning. These include many schoolyard lessons, undergraduate research programs, and interdisciplinary graduate and professional training. Societal impacts of the program include strong collaborations with local, regional, and national land managers. The Sevilleta LTER program will test how changes in climate mean and variance independently and interactively affect the dynamics of dryland ecosystems and the transitions between ecosystems. Research activities will evaluate the generality of mechanisms that control sensitivities of dryland populations, communities and biome transitions to climate variability by integrating long-term observations and experiments with theoretical, statistical, and simulation models. Moreover, the diversity of Sevilleta ecosystems and ecotones will enable comparative study of the causes and consequences of dryland transitions and foster new cross-site collaborations. Three novel models will assimilate observational and experimental results to forecast effects of climate variability on (i) transitions driven by the spatio-temporal trajectories of foundation plant species, (ii) ecosystem functions and services in five widespread dryland ecosystems, and (iii) consumer dynamics via climate impacts on the distribution of resources. This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria. |
| 来源学科分类 | Biological Sciences |
| URL | https://www.nsf.gov/awardsearch/showAward?AWD_ID=1655499 |
| 资源类型 | 项目 |
| 条目标识符 | http://119.78.100.177/qdio/handle/2XILL650/341654 |
| 推荐引用方式 GB/T 7714 | Jennifer Rudgers.LTER: Sevilleta (SEV) Site: Climate Variability at Dryland Ecotones.2018. |
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