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Transient social-ecological dynamics reveal signals of decoupling in a highly disturbed Anthropocene landscape.
Lin, Qi; Zhang, Ke; Giguet-Covex, Charline; Arnaud, Fabien; McGowan, Suzanne; Gielly, Ludovic; Capo, Eric; Huang, Shixin; Ficetola, Gentile Francesco; Shen, Ji; Dearing, John A; Meadows, Michael E.
Afiliação
  • Lin Q; Key Laboratory of Lake and Watershed Science for Water Security, Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences, Nanjing 210008, People's Republic of China.
  • Zhang K; Key Laboratory of Lake and Watershed Science for Water Security, Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences, Nanjing 210008, People's Republic of China.
  • Giguet-Covex C; Laboratoire Environnements, Dyamiques et Teritoires de la Montagne, Université Savoie Mont Blanc, CNRS, Chambéry 73000, France.
  • Arnaud F; Laboratoire Environnements, Dyamiques et Teritoires de la Montagne, Université Savoie Mont Blanc, CNRS, Chambéry 73000, France.
  • McGowan S; Department of Aquatic Ecology, Netherlands Institute of Ecology, Wageningen 6708PB, Netherlands.
  • Gielly L; Laboratoire d'Écologie Alpine, CNRS, Université Grenoble Alpes, Grenoble F-38000, France.
  • Capo E; Department of Ecology and Environmental Sciences, Umeå University, Umeå SE-90187, Sweden.
  • Huang S; Key Laboratory of Lake and Watershed Science for Water Security, Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences, Nanjing 210008, People's Republic of China.
  • Ficetola GF; Laboratoire d'Écologie Alpine, CNRS, Université Grenoble Alpes, Grenoble F-38000, France.
  • Shen J; Department of Environmental Science and Policy, University of Milan, Milan 20133, Italy.
  • Dearing JA; School of Geography and Ocean Science, Nanjing University, Nanjing 210023, People's Republic of China.
  • Meadows ME; School of Geography and Environmental Science, University of Southampton, Southampton SO17 1BJ, United Kingdom.
Proc Natl Acad Sci U S A ; 121(17): e2321303121, 2024 Apr 23.
Article em En | MEDLINE | ID: mdl-38640342
ABSTRACT
Understanding the transient dynamics of interlinked social-ecological systems (SES) is imperative for assessing sustainability in the Anthropocene. However, how to identify critical transitions in real-world SES remains a formidable challenge. In this study, we present an evolutionary framework to characterize these dynamics over an extended historical timeline. Our approach leverages multidecadal rates of change in socioeconomic data, paleoenvironmental, and cutting-edge sedimentary ancient DNA records from China's Yangtze River Delta, one of the most densely populated and intensively modified landscapes on Earth. Our analysis reveals two significant social-ecological transitions characterized by contrasting interactions and feedback spanning several centuries. Initially, the regional SES exhibited a loosely connected and ecologically sustainable regime. Nevertheless, starting in the 1950s, an increasingly interconnected regime emerged, ultimately resulting in the crossing of tipping points and an unprecedented acceleration in soil erosion, water eutrophication, and ecosystem degradation. Remarkably, the second transition occurring around the 2000s, featured a notable decoupling of socioeconomic development from ecoenvironmental degradation. This decoupling phenomenon signifies a more desirable reconfiguration of the regional SES, furnishing essential insights not only for the Yangtze River Basin but also for regions worldwide grappling with similar sustainability challenges. Our extensive multidecadal empirical investigation underscores the value of coevolutionary approaches in understanding and addressing social-ecological system dynamics.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Ecossistema / Rios Idioma: En Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Ecossistema / Rios Idioma: En Ano de publicação: 2024 Tipo de documento: Article