Analyzing the causes of alpine meadow degradation and the efficiency of restoration strategies through a mathematical modelling exercise

Math Biosci Eng. 2018 Jun 1;15(3):765-773. doi: 10.3934/mbe.2018034.

Abstract

As an important ecosystem, alpine meadow in China has been degraded severely over the past few decades. In order to restore degraded alpine meadows efficiently, the underlying causes of alpine meadow degradation should be identified and the efficiency of restoration strategies should be evaluated. For this purpose, a mathematical modeling exercise is carried out in this paper. Our mathematical analysis shows that the increasing of raptor mortality and the decreasing of livestock mortality (or the increasing of the rate at which livestock increases by consuming forage grass) are the major causes of alpine meadow degradation. We find that controlling the amount of livestock according to the grass yield or ecological migration, together with protecting raptor, is an effective strategy to restore degraded alpine meadows; while meliorating vegetation and controlling rodent population with rodenticide are conducive to restoring degraded alpine meadows. Our analysis also suggests that providing supplementary food to livestock and building greenhouse shelters to protect livestock in winter may contribute to alpine meadow degradation.

Keywords: Alpine meadow; degradation; mathematical modelling; restoration strategy; stability.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Animal Feed
  • Animal Husbandry
  • Animals
  • China
  • Conservation of Natural Resources / methods*
  • Conservation of Natural Resources / statistics & numerical data
  • Ecological Parameter Monitoring / methods
  • Ecological Parameter Monitoring / statistics & numerical data
  • Ecosystem
  • Grassland*
  • Livestock
  • Mathematical Concepts
  • Models, Biological*
  • Raptors
  • Rodentia