YunForest: Growth and physiological responses of forests to climate change along latitudinal and altitudinal gradients in Southwest China (Yunnan Province)

云森林：中国西南地区（云南省）纬度和海拔梯度森林的生长和生理响应对气候变化的影响

基本信息

批准号：
410365304
负责人：
Professor Dr. Achim Bräuning
金额：
--
依托单位：
Institut für Geographie
依托单位国家：
德国
项目类别：
Research Grants
财政年份：
2019
资助国家：
德国
起止时间：
2018-12-31 至 2023-12-31
项目状态：
已结题

来源：
https://gepris.dfg.de/gepris/projekt/410365304?language=en
关键词：
YunForest Growth physiological responses forests

项目摘要

During the recent decades, the topographically complex province of Yunnan in southwest China experienced substantial trends of increasing temperatures, accompanied by an increasing number of precipitation failures. This may challenge the sustainability of forest ecosystem services like carbon sequestration and biodiversity conservation. The project YunForest evaluates the effects of a changing climate to the adaptation of natural and anthropogenic forest ecosystems in three elevation transects along a south-north climatic gradient in the tropical, subtropical and temperate climate zones of Yunnan. In an interdisciplinary study, we will use different wood anatomical parameters/features and tree physiological information derived from analyses of stable oxygen and carbon isotopes in tree-ring cellulose to quantify forest growth and tree species’ response to changes in regional hydroclimate. Multicentennial climate variability along the Mekong river system will be reconstructed using a multi-tree-ring parameter approach. Extreme precipitation events will be analyzed along the studied gradients by analyzing their oxygen isotope composition and calculating the origin of the air masses by trajectory analyses. This will allow modelling of stable oxygen fractionation along atmosphere travel pathways and linkage to intra-annual distribution of oxygen isotopes in tree rings.

云森林项目评估称，近几十年来，中国西南部地形复杂的云南省经历了明显的气温上升趋势，降水量减少，这可能对碳汇和生物多样性保护等森林生态系统服务的可持续性构成挑战。在一项跨学科研究中，气候变化对云南热带、亚热带和温带气候区沿南北气候梯度的三个高程样带的自然和人为森林生态系统适应的影响。我们将使用从树轮纤维素中的稳定氧和碳同位素分析中获得的不同木材解剖参数/特征和树木生理信息来量化森林生长和树种对湄公河系统数百年气候变化的响应。将使用多树环参数方法重建极端降水事件，通过分析其氧同位素组成并通过轨迹分析计算气团的起源，这将允许对极端降水事件进行建模。沿着大气传播路径的稳定氧分馏以及与树木年轮中氧同位素的年内分布的联系。