Collaborative Research: Are Amazonian and Andean ecosystems close to a tipping point?

合作研究：亚马逊和安第斯生态系统是否已接近临界点？

• 批准号: 2029615
• 负责人: Liviu Giosan
• 金额: $ 13.13万
• 依托单位: Woods Hole Oceanographic Institution
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2021
• 资助国家: 美国
• 起止时间: 2021-06-01 至 2024-05-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2029615&HistoricalAwards=false
• 关键词: Collaborative; Research; Amazonian; Andean; ecosystems

Amazonian rainforests are famous for the immense biological and cultural diversity they support. These forests are also a vital part of global recycling of freshwater, and their loss has implications for food security for millions of people as well as global climate dynamics. Climate change is threatening these systems and there are concerns that as temperatures rise and rainfall becomes less reliable, these forests might be replaced by low-diversity grasslands. However, it is unclear what level of climate change might trigger a forest-to-grassland transition. Paleoecology can provide information about biological diversity in the past, and how biodiversity patterns changed during past warming events. This research project will investigate two periods of climate warming, one that lasted from about 8000 to 5000 years ago, and another even warmer time that lasted from 128,000 to 120,000 years ago. Ancient lakes build up sediments through time, and by taking a drill-core down through the sediment the history of the region can be captured in the lake mud. The researchers will analyze the fossil and chemical content of lake sediment cores from seven locations in the Amazon and Andes to establish how much the climate changed in the past, and whether those changes were enough to induce a shift from forest to grassland. By looking at a range of locations that vary in moisture, from very wet to quite dry, and degree of warming, the researchers will estimate how close the modern rainforest is to a forest-to-grassland transition. Additionally, new interactions between the collaborating research groups will include a co-taught paleoecology/paleoclimatology course, a sponsored category in a local film festival, and training of at least 10 undergraduates, two doctoral students, and one postdoctoral researcher. The research will address a number of hypotheses relating to climate-vegetation responses such as flickering, teleconnections, ecosystem buffering, and tipping points. By using organic geochemical data to estimate paleotemperature, leaf wax isotopes to estimate precipitation, sediment chemistry to characterize droughts, fossil pollen to reconstruct vegetation, and charcoal to reconstruct fire frequency, the researchers will investigate ecosystem change under conditions as much as 2 degrees C (4 degrees F) warmer than the present. The Last Interglacial will provide an index of scale of change in traits, fire prevalence and community composition in a climate 1-2 degrees C warmer than modern. In the directly-dated Holocene, the data will assess sub-decadal variance in ecosystem indicators, and allow rates of change to be investigated. Currently, no high-resolution records of Amazonian temperature exist, so the novel approach of separating climatic change from that of ecological proxies will be transformational for quantitative neotropical paleoecology.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.

亚马逊雨林以其支持的巨大生物和文化多样性而闻名。这些森林也是全球淡水循环的重要组成部分，它们的损失对数百万人的粮食安全以及全球气候动态产生影响。气候变化正在威胁着这些系统，人们担心，随着气温上升和降雨变得不那么可靠，这些森林可能会被低多样性的草原所取代。然而，目前尚不清楚什么程度的气候变化可能引发森林向草原的过渡。古生态学可以提供有关过去生物多样性的信息，以及生物多样性模式在过去变暖事件中如何变化。该研究项目将调查两个气候变暖时期，一个是从大约8000年前持续到5000年前，另一个是从128，000年前持续到120，000年前的更温暖的时期。古老的湖泊随着时间的推移积累了沉积物，通过在沉积物中取一个岩芯，可以在湖泥中捕捉到该地区的历史。研究人员将分析来自亚马逊和安第斯山脉七个地点的湖泊沉积物岩心的化石和化学成分，以确定过去气候变化的程度，以及这些变化是否足以引起从森林到草原的转变。通过观察一系列湿度不同的地点，从非常潮湿到非常干燥，以及变暖的程度，研究人员将估计现代雨林与森林到草原过渡的距离。此外，合作研究小组之间的新互动将包括共同教授的古生态学/古气候学课程，当地电影节的赞助类别，以及至少10名本科生，两名博士生和一名博士后研究员的培训。该研究将解决一些与气候-植被响应有关的假设，如闪烁，遥相关，生态系统缓冲和临界点。通过使用有机地球化学数据来估计古温度，叶蜡同位素来估计降水量，沉积物化学来表征干旱，化石花粉来重建植被，木炭来重建火灾频率，研究人员将在比现在高2摄氏度（4华氏度）的条件下调查生态系统变化。末次间冰期将提供一个指数的规模变化的特点，火灾流行和社区组成的气候1-2摄氏度比现代温暖。在直接定年的全新世，这些数据将评估生态系统指标的近十年变化，并允许对变化率进行调查。目前，没有高分辨率的记录亚马逊河流域的温度存在，因此，新的方法分离气候变化的生态代理将是转型的定量新热带paleocology.This奖项反映了NSF的法定使命，并已被认为是值得通过评估使用基金会的智力价值和更广泛的影响审查标准的支持。