Harnessing NEON to evaluate ecological tipping points: Opportunities, challenges, and approaches

Harnessing NEON to evaluate ecological tipping points: Opportunities, challenges, and approaches
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利用 NEON 评估生态临界点:机遇、挑战和方法

DOI:
10.1002/ecs2.3989
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发表时间:
2022
期刊:
影响因子:
2.7
通讯作者:
Lunch, Claire
Lunch, Claire
中科院分区:
环境科学与生态学2区
文献类型:
--
作者:
Muthukrishnan, Ranjan;Hayes, Katherine;Bartowitz, Kristina;Cattau, Megan E.;Harvey, Brian J.;Lin, Yang;Lunch, Claire

文献摘要

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人类活动对地球仪生态系统的持续影响,以及对某些系统发生灾难性变化的观察,使人们对理解和预测生态临界点产生了极大的兴趣。氖最近的建立和全面运作为研究人员提供了一个机会,使他们能够访问监测各种生态系统组成和功能的广泛数据集。这些数据可能是唯一有效的研究制度的变化和生态系统的临界点,因为它们的时间跨度长,空间范围,最重要的是协调监测的许多生物和非生物组成部分的重点生态系统。这些数据的多样性可以捕捉一系列潜在的社区变化,同时还可以监测一系列广泛的环境驱动因素。这种结合对于评估变化是外部力量还是内部动力的结果至关重要。在这里,我们提出了一个政权转变动态的概述,描述了各种方法来确定临界点的时间序列,空间格局,或频率分布的社区状态在整个环境条件下的数据,并提出了一些氖数据产品,可能是适合这样的分析。
The combination of continuing anthropogenic impact on ecosystems across the globe and the observation of catastrophic shifts in some systems has generated substantial interest in understanding and predicting ecological tipping points. The recent establishment and full operation of NEON has created an opportunity for researchers to access extensive datasets monitoring the composition and functioning of a wide range of ecosystems. These data may be uniquely effective for studying regime shifts and tipping points in ecological systems because of their long time horizon, spatial extent, and most importantly the coordinated monitoring of many biotic and abiotic components of focal ecosystems. The variety of these data can capture a range of potential community shifts while also monitoring an extensive set of environmental drivers. This combination is critical for assessing whether changes are a result of external forcings or internal dynamics. Here, we present an overview of regime shift dynamics; describe a variety of approaches to identify tipping points with data from time series, spatial patterns, or frequency distributions of community states across environmental conditions; and suggest a number of NEON data products that may be appropriate for such analyses.