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High-integrity human intervention in ecosystems: Tracking self-organization modes.
Zelnik, Yuval R; Mau, Yair; Shachak, Moshe; Meron, Ehud.
Affiliation
  • Zelnik YR; Centre for Biodiversity Theory and Modelling, Theoretical and Experimental Ecology Station, CNRS, Moulis, France.
  • Mau Y; Department of Ecology, Swedish University of Agricultural Sciences, Uppsala, Sweden.
  • Shachak M; The Institute of Environmental Sciences, The Robert H. Smith Faculty of Agriculture, Food and Environment, The Hebrew University of Jerusalem, Rehovot, Israel.
  • Meron E; Mitrani Department of Desert Ecology, Blaustein Institutes for Desert Research, Ben-Gurion University of the Negev, Sede Boqer Campus, Israel.
PLoS Comput Biol ; 17(9): e1009427, 2021 09.
Article in En | MEDLINE | ID: mdl-34587157
ABSTRACT
Humans play major roles in shaping and transforming the ecology of Earth. Unlike natural drivers of ecosystem change, which are erratic and unpredictable, human intervention in ecosystems generally involves planning and management, but often results in detrimental outcomes. Using model studies and aerial-image analysis, we argue that the design of a successful human intervention form calls for the identification of the self-organization modes that drive ecosystem change, and for studying their dynamics. We demonstrate this approach with two examples grazing management in drought-prone ecosystems, and rehabilitation of degraded vegetation by water harvesting. We show that grazing can increase the resilience to droughts, rather than imposing an additional stress, if managed in a spatially non-uniform manner, and that fragmental restoration along contour bunds is more resilient than the common practice of continuous restoration in vegetation stripes. We conclude by discussing the need for additional studies of self-organization modes and their dynamics.
Subject(s)

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Ecosystem / Conservation of Natural Resources / Ecology Limits: Animals / Humans Language: En Journal: PLoS Comput Biol Journal subject: BIOLOGIA / INFORMATICA MEDICA Year: 2021 Document type: Article Affiliation country: France

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Ecosystem / Conservation of Natural Resources / Ecology Limits: Animals / Humans Language: En Journal: PLoS Comput Biol Journal subject: BIOLOGIA / INFORMATICA MEDICA Year: 2021 Document type: Article Affiliation country: France