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Feedback loops between 3D vegetation structure and ecological functions of animals.
Russo, Nicholas J; Davies, Andrew B; Blakey, Rachel V; Ordway, Elsa M; Smith, Thomas B.
Afiliação
  • Russo NJ; Department of Ecology and Evolutionary Biology, University of California Los Angeles, Los Angeles, California, USA.
  • Davies AB; Department of Organismic & Evolutionary Biology, Harvard University, Cambridge, Massachusetts, USA.
  • Blakey RV; La Kretz Center for California Conservation Science, Institute of the Environment and Sustainability, University of California Los Angeles, Los Angeles, California, USA.
  • Ordway EM; Biological Sciences Department, California State Polytechnic University, Pomona, California, USA.
  • Smith TB; Department of Ecology and Evolutionary Biology, University of California Los Angeles, Los Angeles, California, USA.
Ecol Lett ; 26(9): 1597-1613, 2023 Sep.
Article em En | MEDLINE | ID: mdl-37419868
ABSTRACT
Ecosystems function in a series of feedback loops that can change or maintain vegetation structure. Vegetation structure influences the ecological niche space available to animals, shaping many aspects of behaviour and reproduction. In turn, animals perform ecological functions that shape vegetation structure. However, most studies concerning three-dimensional vegetation structure and animal ecology consider only a single direction of this relationship. Here, we review these separate lines of research and integrate them into a unified concept that describes a feedback mechanism. We also show how remote sensing and animal tracking technologies are now available at the global scale to describe feedback loops and their consequences for ecosystem functioning. An improved understanding of how animals interact with vegetation structure in feedback loops is needed to conserve ecosystems that face major disruptions in response to climate and land-use change.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Ecossistema / Tecnologia de Sensoriamento Remoto Idioma: En Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Estados Unidos

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Ecossistema / Tecnologia de Sensoriamento Remoto Idioma: En Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Estados Unidos