Ecosystem restoration and belowground multifunctionality: A network view

Dashuan Tian, Yangzhou Xiang, Eric Seabloom, Han Y.H. Chen, Jinsong Wang, Guirui Yu, Ye Deng, Zhaolei Li, Shuli Niu

Research output: Contribution to journalArticlepeer-review

10 Scopus citations

Abstract

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.

Original languageEnglish (US)
Article numbere2575
JournalEcological Applications
Volume32
Issue number5
DOIs
StatePublished - Jul 2022

Bibliographical note

Funding Information:
Youth Innovation Promotion Association CAS, Grant/Award Number: 2021050; National Key R&D Program of China, Grant/Award Number: 2017YFA0604801; Second Tibetan Plateau Scientific Expedition and Research (STEP), Grant/Award Number: 2019QZKK0302; National Natural Science Foundation of China, Grant/Award Number: 31988102 Funding information

Funding Information:
We are very grateful to the scientists who contributed the valuable data to our synthesis. This study was financially supported by the National Natural Science Foundation of China (31988102), the Second Tibetan Plateau Scientific Expedition and Research (STEP) program (2019QZKK0302), the National Key R&D Program of China (2017YFA0604801) and Youth Innovation Promotion Association CAS (2021050).

Publisher Copyright:
© 2022 The Ecological Society of America.

Keywords

  • cropland conversion
  • ecosystem restoration
  • functional network
  • meta-analysis
  • multifunctionality

PubMed: MeSH publication types

  • Journal Article
  • Research Support, Non-U.S. Gov't

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