Temperature-driven changes in tree species abundance and carbon cycling along latitudinal and altitudinal gradients

全球变暖预计将改变森林的组成和生产力，特别是在高纬度和高海拔地区，那里的气温将上升最多。这些变化可能产生重大的经济和社会后果，以及连锁的环境影响，例如森林碳储量的变化可能对气候变化的速度产生积极或消极的反馈。预测全球变暖的影响需要更好地了解温度如何影响森林的物种组成和生产力。为此，拟议的研究将使用森林调查数据来检查树木和森林对温度空间变化的反应。采用以空间换时间的方法，清查数据还将用于将预测森林将如何应对全球变暖的模型参数化，包括可能对气候变化产生积极或消极反馈的反应。

Global warming is expected to alter the composition and productivity of forests, particularly at high latitudes and altitudes where temperature will increase the most. These changes may have significant economic and social consequences, as well as cascading environmental impacts, such as changes in forest carbon storage that may exert a positive or negative feedback on the rate climate change. Predicting the impacts of global warming requires a better understanding of how temperature influences the species composition and productivity of forests. Toward this end, the proposed research will use forest inventory data to examine how trees and forests respond to spatial variation in temperature. Employing space-for-time substitution, the inventory data will also be used to parameterize a model for predicting how forests will respond to global warming, including responses that may exert a positive or negative feedback on climate change.