生态系统
环境资源管理
全球变化
生态系统服务
环境科学
国家(计算机科学)
生态系统健康
功能(生物学)
生态学
计算机科学
气候变化
生物
算法
进化生物学
作者
Zhongmin Hu,Vasilis Dakos,Max Rietkerk
标识
DOI:10.1016/j.tree.2022.07.011
摘要
Indicators to predict ecosystem state change are urgently needed to cope with the degradation of ecosystem services caused by global change. With the development of new technologies for measuring ecosystem function with fine spatiotemporal resolution over broad areas, we are in the era of 'big data'. However, it is unclear how large, emerging datasets can be used to anticipate ecosystem state change. We propose the construction of indicators based on functional variables (flows) and state variables (pools) to predict future ecosystem state changes. The indicators identified here may be useful signals for doing so. In addition, functional indicators have explicit ecological meanings that can identify the ecological mechanism that is causing state changes, and can thus be used to improve ecosystem models.
科研通智能强力驱动
Strongly Powered by AbleSci AI