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Forskningsartikel2021Vetenskapligt granskadÖppen tillgång

High-integrity human intervention in ecosystems: Tracking self-organization modes

Zelnik, Yuval R.; Mau, Yair; Shachak, Moshe; Meron, Ehud

Sammanfattning

Human intervention in ecosystems is motivated by various functional needs, such as provisioning ecosystem services, but often has unexpected detrimental outcomes. A major question in ecology is how to manage human intervention so as to achieve its goal without impairing ecosystem function. The main idea pursued here is the need to identify the inherent response ways of ecosystems to disturbances, and use them as road maps for conducting interventions. This approach is demonstrated mathematically using two contexts, grazing management and vegetation restoration, and compared to remote sensing data for the latter. Among the surprising insights obtained is the beneficial effect of grazing, in terms of resilience to droughts, that can be achieved by managing it non-uniformly in space.

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.


Publicerad i

PLoS Computational Biology
2021, Volym: 17, nummer: 9, artikelnummer: e1009427
Utgivare: PUBLIC LIBRARY SCIENCE

    Globala målen

    Skydda, återställa och främja ett hållbart nyttjande av landbaserade ekosystem, hållbart bruka skogar, bekämpa ökenspridning, hejda och vrida tillbaka markförstöringen samt hejda förlusten av biologisk mångfald

    UKÄ forskningsämne

    Bioinformatik och systembiologi
    Ekologi

    Publikationens identifierare

    DOI: https://doi.org/10.1371/journal.pcbi.1009427

    Permanent länk till denna sida (URI)

    https://res.slu.se/id/publ/113901