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Ecosystem restoration and belowground multifunctionality: A network view.
Tian, Dashuan; Xiang, Yangzhou; Seabloom, Eric; Chen, Han Y H; Wang, Jinsong; Yu, Guirui; Deng, Ye; Li, Zhaolei; Niu, Shuli.
Afiliação
  • Tian D; Key Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research, CAS, Beijing, China.
  • Xiang Y; College of Resources and Environment, University of Chinese Academy of Sciences, Beijing, China.
  • Seabloom E; School of Geography and Resources, Guizhou Education University, Guiyang, China.
  • Chen HYH; Department of Ecology, Evolution, and Behavior, University of Minnesota, St. Paul, Minnesota, USA.
  • Wang J; Faculty of Natural Resources Management, Lakehead University, Thunder Bay, Ontario, Canada.
  • Yu G; Key Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research, CAS, Beijing, China.
  • Deng Y; Key Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research, CAS, Beijing, China.
  • Li Z; CAS Key Laboratory of Environmental Biotechnology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing, China.
  • Niu S; College of Resources and Environment, Shandong Agricultural University, Taian, China.
Ecol Appl ; 32(5): e2575, 2022 07.
Article em En | MEDLINE | ID: mdl-35191122
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.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Solo / Ecossistema Idioma: En Revista: Ecol Appl Ano de publicação: 2022 Tipo de documento: Article País de afiliação: China

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Solo / Ecossistema Idioma: En Revista: Ecol Appl Ano de publicação: 2022 Tipo de documento: Article País de afiliação: China