Predicting mammalian communities in Mesoamerican 'sky islands' using species traits and spatiotemporal patterns of environmental suitability

利用物种特征和环境适宜性的时空模式预测中美洲“天空岛屿”的哺乳动物群落

• 批准号: 2002202
• 负责人: Robert Anderson
• 金额: $ 30万
• 依托单位: CUNY City College
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2020
• 资助国家: 美国
• 起止时间: 2020-07-15 至 2024-06-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2002202&HistoricalAwards=false
• 关键词: Predicting; mammalian; communities; Mesoamerican; sky

Understanding and predicting shifts in species geographic distributions (or ranges) is important to inform decision-making on a range of pressing issues in health, agriculture, and natural-resource management. Many human activities increase the patchiness of habitats in an area, thus affecting species distributions. However, predicting the effects of fragmentation on particular species remains difficult. To forecast which species will remain in each patch and which will move into the areas between them, scientists need to consider not only their preferred habitats but also the environmental history of the region and other traits of the species themselves (like body size, dispersal ability, and reproductive rates). Here, the researchers will test a new model to forecast species distributions in fragmented landscapes, applying it to mammals associated with mountain forests. The research will evaluate the roles of environmental history and species traits in predicting a species' presence or absence in particular forest patches. Graduate and undergraduate students contributing to the project will gain training in data collection, analyses using Geographic Information Systems (GIS), and computer coding. In addition to publishing scientific papers on the findings, the team will conduct workshops and produce computer code, tutorials, and webinars. In a system of naturally fragmented, montane habitat islands or sky islands, the researchers will test hypotheses regarding differential colonization and extinction among species using traits, allometric scaling (based on body size), and spatial patterns of present and past climate. To predict the particular species occurring in given patches, they will implement the new Constraint-based model of Dynamic Island Biogeography (C-DIB). The team will do so studying small non-volant mammals associated with currently isolated mesic montane forests of the Sierra Madre Oriental in Mexico (the mainland of this system). Specifically, the researchers will: 1. obtain occurrence records and trait data for species of the mainland; 2. make predictions for each species and patch within one sky island complex using body size, trophic level, and measures of connectivity and area from ecological niche models applied to present and past conditions; 3. determine the species composition of the patches by conducting field inventories; and 4. perform statistical tests of differential colonization and extinction among species. This project will advance understanding of the factors that affect species ranges across space and over time, empowering researchers to improve biodiversity prediction and spark further development and use of the C-DIB in basic and applied science.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.

理解和预测物种地理分布（或范围）的转变对于有关健康，农业和自然资源管理方面的一系列紧迫问题的范围很重要。许多人类活动增加了一个地区栖息地的斑块，从而影响了物种分布。但是，预测碎片化对特定物种的影响仍然很困难。为了预测哪些物种将保留在每个斑块中，哪些物种将进入它们之间的区域，科学家不仅需要考虑其首选的栖息地，还需要考虑该地区的环境历史以及该物种本身的其他特征（例如身体大小，分散能力和生殖率）。在这里，研究人员将测试一种新模型，以预测碎片景观中的物种分布，并将其应用于与山区森林相关的哺乳动物。该研究将评估环境历史和物种特征在预测物种在特定森林斑块中的存在或不存在的作用。为该项目做出贡献的研究生和本科生将获得数据收集，使用地理信息系统（GIS）和计算机编码的分析的培训。除了发表有关调查结果的科学论文外，该团队还将举办研讨会并制作计算机代码，教程和网络研讨会。在一个自然碎片的山地栖息地岛或天岛的系统中，研究人员将使用特征，实质性缩放（基于身体大小）以及当前和过去气候的空间模式来测试有关物种差异定植和灭绝的假设。为了预测给定斑块中发生的特定物种，它们将实施新的基于动态岛生物地理（C-DIB）的基于新约束的模型。该团队将研究与目前孤立的墨西哥山脉山脉山地蒙塔尼森林相关的小型非挥助哺乳动物（该系统的大陆）。具体而言，研究人员将：1。获得大陆物种的发生记录和特征数据； 2。对一个天空岛复合体内的每个物种进行预测，并使用身体大小，营养水平以及连通性和面积的测量以及用于当前和过去条件的生态细分模型的衡量； 3。通过进行现场清单来确定斑块的物种组成；和4。对物种之间的差异定殖和灭绝进行统计检验。该项目将进一步了解影响物种在空间和随着时间的流逝的因素，使研究人员有能力改善生物多样性的预测，并在基本和应用科学中进一步发展C-DIB。该奖项反映了NSF的法定任务，并认为通过基金会的知识分子和更广泛的影响，可以通过评估来进行评估。

项目成果

Universal rules of life: metabolic rates, biological times and the equal fitness paradigm

生命的普遍规则：代谢率、生物时间和平等健身范式

• DOI: 10.1111/ele.13715
• 发表时间: 2021
• 期刊: Ecology Letters
• 影响因子: 8.8
• 作者: Robert Burger, Joseph;Hou, Chen;A. S. Hall, Charles;Brown, James H.;Chase, ed., Jonathan
• 通讯作者: Chase, ed., Jonathan