Key Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research, CAS, Beijing, China.
College of Resources and Environment, University of Chinese Academy of Sciences, Beijing, China.
Ecol Appl. 2022 Jul;32(5):e2575. doi: 10.1002/eap.2575. Epub 2022 May 19.
Ecological restoration is essential to reverse land degradation worldwide. Most studies have assessed the restoration of ecosystem functions individually, as opposed to a holistic view. Here we developed a network-based ecosystem multifunctionality (EMF) framework to identify key functions in evaluating EMF restoration. Through synthesizing 293 restoration studies (2900 observations) following cropland abandonment, we found that individual soil functions played different roles in determining the restoration of belowground EMF. Soil carbon, total nitrogen, and phosphatase were key functions to predict the recovery of belowground EMF. On average, abandoned cropland recovered ~19% of EMF during 18 years. The restoration of EMF became larger with longer recovery time and higher humidity index, but lower with increasing soil depth and initial soil carbon. Overall, this study presents a network-based EMF framework, effectively helping to evaluate the success of ecosystem restoration and identify the key functions.
生态恢复对于扭转全球土地退化至关重要。大多数研究都分别评估了生态系统功能的恢复，而不是整体来看。在这里，我们开发了一个基于网络的生态系统多功能性（EMF）框架，以确定评估 EMF 恢复的关键功能。通过综合 293 项（2900 个观测值）农田废弃后的恢复研究，我们发现单个土壤功能在确定地下 EMF 恢复方面起着不同的作用。土壤碳、总氮和磷酸酶是预测地下 EMF 恢复的关键功能。平均而言，废弃的农田在 18 年内恢复了约 19%的 EMF。随着恢复时间的延长和湿度指数的升高，EMF 的恢复变得更大，但随着土壤深度和初始土壤碳的增加而降低。总的来说，本研究提出了一个基于网络的 EMF 框架，有效地帮助评估生态系统恢复的成功，并确定关键功能。
