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Modeling rangelands as spatially-explicit complex adaptive systems.

Hsiao-Hsuan Wang1, William E Grant1, Richard Teague2

  • 1Ecological Systems Laboratory, Department of Wildlife and Fisheries Sciences, Texas A&M University, 2258 TAMU, College Station, TX, 77843-2258, USA.

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|June 21, 2020
PubMed
Summary
This summary is machine-generated.

Rangeland management debates on continuous versus rotational grazing lack a uniform solution. Viewing rangelands as complex adaptive systems and employing adaptive management offers a more effective approach for sustainable grazing practices.

Keywords:
Adaptive managementContinuous and rotational grazingGrazed ecosystemsIndividual-based modelSpatial-temporal variabilityUncertainty

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Area of Science:

  • Ecology
  • Rangeland Management
  • Computational Modeling

Background:

  • Rangelands, covering a third of Earth's land, support a billion people but face degradation from overgrazing.
  • Continuous versus rotational grazing is a key debate in rangeland management.
  • Rangelands can be understood as complex adaptive systems.

Purpose of the Study:

  • To model rangelands as complex adaptive systems.
  • To simulate forage dynamics and cattle production under continuous and rotational grazing.
  • To evaluate the effectiveness of different grazing management schemes.

Main Methods:

  • Developed a spatially-structured, individual-based model of rangelands.
  • Simulated forage dynamics and cattle production in semi-arid conditions (Southern Great Plains, USA).
  • Compared continuous and rotational grazing schemes.

Main Results:

  • The "success" of grazing schemes varied based on the evaluation metric (ecological condition, cattle weight, production efficiency).
  • Neither continuous nor rotational grazing was uniformly superior.
  • Grazing scheme effectiveness depended on the specific management approach and metric used.

Conclusions:

  • Resolving the grazing systems debate requires viewing rangelands as complex adaptive systems.
  • Adaptive management, considering feedbacks among system components, is crucial.
  • Modeling rangelands as complex adaptive systems aids in evaluating management strategies.