LTREB: Population persistence in a variable world: spatiotemporal variation in climate and demography across the range of scarlet monkeyflower

LTREB：可变世界中的人口持久性：猩红猴花范围内气候和人口的时空变化

• 批准号: 2311414
• 负责人: Seema Sheth
• 金额: $ 60万
• 依托单位: North Carolina State University
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2024
• 资助国家: 美国
• 起止时间: 2024-06-01 至 2029-05-31
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2311414&HistoricalAwards=false
• 关键词: LTREB; Population; persistence; variable; world

This project seeks to understand how different climates influence the survival, growth, and reproduction of plant species. Understanding how survival, growth and reproduction influence how fast a population grows helps determine how vulnerable species are to climate change. The researchers will measure population growth rates across the range of the scarlet monkeyflower in the western United States over the next 10 years. The findings of this research will provide valuable insights into how populations can persist in the face of changing climates. This work will help land managers with programs to conserve rare plants, promote healthy ecosystems after wildfires, and restore stream habitats. In addition, the project will mentor and train recent college graduates from underrepresented groups.Populations can be buffered from temporal variability in climate if one or more demographic rates mitigate environmental variation in a way that promotes stability in population growth. Alternatively, populations might show variable population growth rates that track temporal variability in climate to capitalize on favorable conditions. It remains unclear how the propensity for climate buffering and climate tracking varies with life history, particularly under realistically varying environments, alters range-wide inferences of population dynamics when local populations differ in buffering and tracking capacity, and influences the likelihood that genetic adaptation and phenotypic plasticity facilitate population persistence in the face of climate extremes. To address these knowledge gaps, the researchers will collect range-wide demographic data over the next 10 years in the scarlet monkeyflower (Mimulus cardinalis), a plant that is found across different climates in western North America. Mimulus cardinalis is an ideal model for understanding population persistence and adaptation in a rapidly changing climate because the researchers can uniquely synthesize extensive observational and experimental datasets. The combination of large-scale and long-term demographic observations (21 populations over 10-21 years to date), experimental work in greenhouse and field common gardens, and genomic studies makes this a particularly powerful system for dissecting how historical and contemporary climate adaptation shape distribution and abundance.  Linking genotypes and phenotypes to demography across a broad spatial and temporal scale will reveal unforeseen insights into population persistence in the face of increasingly extreme climates.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.

该项目旨在了解不同的气候如何影响植物物种的生存、生长和繁殖，了解生存、生长和繁殖如何影响种群增长的速度，有助于确定物种对气候变化的脆弱程度。这项研究的结果将在未来十年内为美国西部的猩红猴花提供宝贵的见解。这项工作将帮助土地管理者制定保护稀有猴花的计划。植物，促进健康的生态系统此外，该项目还将指导和培训来自代表性不足群体的应届大学毕业生。如果一个或多个人口比率以促进人口增长稳定的方式减轻环境变化，那么人口就可以免受气候时间变化的影响。或者，种群可能会表现出可变的种群增长率，以跟踪气候的时间变化，以利用有利的条件。目前尚不清楚气候缓冲和气候跟踪的倾向如何随着生命史的变化而变化，特别是在实际变化的环境下。当当地人口的缓冲和跟踪能力不同时，人口动态的推断会影响遗传适应和表型可塑性促进人口在极端气候下持续存在的可能性。为了解决这些知识差距，研究人员将收集范围广泛的人口数据。猩红色猴花（Mimulus cardinalis）是一种在北美西部不同气候中发现的植物，它是了解快速变化的气候中种群持续存在和适应的理想模型，因为研究人员可以在接下来的十年中进行研究。独特地综合了大规模和长期的人口统计观察（迄今为止 10-21 年的 21 个种群）、温室和田间公共花园的实验工作以及基因组研究，使该系统成为一个特别强大的系统。剖析历史和当代气候适应如何影响分布和丰度，将基因型和表型与广泛的时空范围内的人口统计学联系起来，将揭示面对日益极端的气候时人口持久性的不可预见的见解。该奖项反映了美国国家科学基金会的法定奖项。使命，并通过使用基金会的智力价值和更广泛的影响审查标准进行评估，被认为值得支持。