The Global Ecosystems Monitoring network: Monitoring ecosystem productivity and carbon cycling across the tropics
The Global Ecosystems Monitoring network: Monitoring ecosystem productivity and carbon cycling across the tropics
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DOI：
10.1016/j.biocon.2020.108889
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发表时间：
2021-01-04
影响因子：
5.9
通讯作者：
Phillips, Oliver L.
中科院分区：
文献类型：
--
作者：
Malhi, Yadvinder;Girardin, Cecile;Phillips, Oliver L.
充分了解陆地生态系统的生产力、碳和养分循环，对于理解、模拟和管理生物圈对全球变化的未来反应至关重要。这一需求在热带生态系统中尤为迫切，热带生态系统拥有全球陆地生产力的60%以上，地球生物多样性的一半以上，以及人为压力的热点。近年来，收集热带生态系统碳循环、生产力和植物功能特征数据的活动激增，其中最集中的是通过全球生态系统监测网络。全球生态系统模型方法通过将基于实地的生态系统生态学与地球系统科学的需求联系起来，提供了宝贵的见解。在本文中，我们回顾和综合的背景下，历史和最近的科学产出从GEM网络。在生态系统生产力的时空变异性以及温度和干旱压力对生态系统功能和复原力的作用方面，已经出现了重要的见解。整个网络的新工作现在正在将碳循环与营养循环和植物功能性状联系起来，并随后与航空遥感联系起来。我们讨论了这种方法的一些新出现的模式以及实践和方法上的挑战，并研究了当前和未来可能的方向，无论是在该网络内还是作为更一般的陆地生态系统观测计划的教训。
A rich understanding of the productivity, carbon and nutrient cycling of terrestrial ecosystems is essential in the context of understanding, modelling and managing the future response of the biosphere to global change. This need is particularly acute in tropical ecosystems, home to over 60% of global terrestrial productivity, over half of planetary biodiversity, and hotspots of anthropogenic pressure. In recent years there has been a surge of activity in collecting data on the carbon cycle, productivity, and plant functional traits of tropical ecosystems, most intensively through the Global Ecosystems Monitoring network (GEM). The GEM approach provides valuable insights by linking field-based ecosystem ecology with the needs of Earth system science. In this paper, we review and synthesize the context, history and recent scientific output from the GEM network. Key insights have emerged on the spatial and temporal variability of ecosystem productivity and on the role of temperature and drought stress on ecosystem function and resilience. New work across the network is now linking carbon cycling to nutrient cycling and plant functional traits, and subsequently to airborne remote sensing. We discuss some of the novel emerging patterns and practical and methodological challenges of this approach, and examine current and possible future directions, both within this network and as lessons for a more general terrestrial ecosystem observation scheme.