LTER: Sevilleta (SEV) Site: Climate Variability at Dryland Ecotones

LTER：塞维利亚塔 (SEV) 站点：旱地生态交错带的气候变化

• 批准号: 1655499
• 负责人: Jennifer Rudgers
• 金额: $ 643.3万
• 依托单位: University of New Mexico
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2018
• 资助国家: 美国
• 起止时间: 2018-07-15 至 2024-12-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1655499&HistoricalAwards=false
• 关键词: LTER; Sevilleta; SEV; Site; Climate

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.

干旱地区已经占地球土地的40%以上，在许多地方正在扩大。气候的年度差异极大地影响了这些旱地动植物的生态和进化。新墨西哥州的塞维莱塔长期生态研究(LTER)地点包括五个主要的旱地栖息地或生态系统。这项研究将扩大对这些生态系统的生态学知识。引导性的问题是：长期气候趋势如何推动旱地生态系统的变化？特别是，一种类型的旱地生态系统是如何转变为另一种类型的？例如，科学家们将开发新的理论来预测降雨量减少时会发生什么。他们将收集检验其想法所需的长期数据。他们还将进行改变降雨模式的实验。该项目将使科学家能够改进对旱地的预测，改变我们对世界各地这些生态系统的理解。塞维莱塔的科学家将通过各级学习活动招募和培训一支多样化的劳动力队伍。其中包括许多校园课程、本科生研究项目以及跨学科的研究生和专业培训。该计划的社会影响包括与当地、地区和国家土地管理者的密切合作。Sevilleta LTER计划将测试气候变化如何独立和交互地影响旱地生态系统的动态以及生态系统之间的过渡。研究活动将通过将长期观察和实验与理论、统计和模拟模型相结合，评估控制旱地种群、群落和生物群对气候变化的敏感性的机制的普遍性。此外，塞维莱塔生态系统和交错带的多样性将使人们能够对旱地过渡的原因和后果进行比较研究，并促进新的跨地点合作。三个新的模型将吸收观测和实验结果，以预测气候变化对(I)由基础植物物种的时空轨迹驱动的转变，(Ii)五个广泛的旱地生态系统中的生态系统功能和服务，以及(Iii)通过气候对资源分配的影响而产生的消费者动态的影响。该奖项反映了NSF的法定使命，并通过使用基金会的智力优势和更广泛的影响审查标准进行评估，被认为值得支持。

项目成果

Monsoon Rainfall Manipulation Experiment (MRME) Meteorology Data from a Chihuahuan Desert Grassland at the Sevilleta National Wildlife Refuge, New Mexico

新墨西哥州塞维利亚塔国家野生动物保护区奇瓦瓦沙漠草原的季风降雨操纵实验 (MRME) 气象数据

• DOI: 10.6073/pasta/f3a14210adeaa762b2e78d1191d5e02b
• 发表时间: 2023
• 期刊: Environmental Data Initiative
• 作者: Collins, Scott

A meta‐analysis of primary productivity and rain use efficiency in terrestrial grassland ecosystems

• DOI: 10.1002/ldr.3715
• 发表时间: 2020-10
• 期刊: Land Degradation & Development
• 影响因子: 4.7
• 作者: Zhongling Yang;S. Collins;R. Bixby;Hongquan Song;Dong Wang;Rui Xiao

SEV-LTER quadrat plant species cover and height all sites and experiments

SEV-LTER 样方植物物种覆盖率和高度所有地点和实验

• DOI: 10.6073/pasta/de4f0ae6a2d304db6a8033a6340501e7
• 发表时间: 2021
• 期刊: Environmental Data Initiative
• 作者: Baur, Lauren;Collins, Scott;Muldavin, Esteban;Rudgers, Jennifer A;Pockman, William T.
• 通讯作者: Pockman, William T.

Monsoon Rainfall Manipulation Experiment (MRME): Seasonal Biomass and Seasonal and Annual NPP Data at the Sevilleta National Wildlife Refuge, New Mexico

季风降雨操纵实验 (MRME)：新墨西哥州塞维利亚塔国家野生动物保护区的季节性生物量以及季节性和年度 NPP 数据

• DOI: 10.6073/pasta/bf1c082d515068d57fc2f269791dc38d
• 发表时间: 2021
• 期刊: Environmental Data Initiative
• 作者: Baur, Lauren;Collins, Scott;Muldavin, Esteban;Rudgers, Jennifer A;Pockman, William T.
• 通讯作者: Pockman, William T.

Warming-El Nino-Nitrogen Deposition Experiment (WENNDEx): Net Primary Production Quadrat Data at the Sevilleta National Wildlife Refuge, New Mexico

变暖厄尔尼诺氮沉积实验 (WENNDEx)：新墨西哥州塞维利亚塔国家野生动物保护区的净初级生产样方数据

• DOI: 10.6073/pasta/b4c81c7073460ad91a5f0a77f6009ddc
• 发表时间: 2021
• 期刊: Environmental Data Initiative
• 作者: Baur, Lauren;Collins, Scott;Muldavin, Esteban;Rudgers, Jennifer A;Pockman, William T.
• 通讯作者: Pockman, William T.