4.2 Article

Assessing Rangeland Sensitivity to Degradation in North Tibet

期刊

RANGELAND ECOLOGY & MANAGEMENT
卷 84, 期 1, 页码 86-97

出版社

SOC RANGE MANAGEMENT
DOI: 10.1016/j.rama.2022.07.001

关键词

Alpine rangelands; Environmentally sensitive area index; Geographic information system; Random forest; Tibet

资金

  1. Second Tibetan Plateau Scientific Expedition and Research Program [2019QZKK1002]
  2. National Natural Science Foundation of China [31870406]
  3. Major Scientific and Technological Special Project of Tibet Autonomous Region [XZ202101ZD0 007G, XZ202101ZD0003N]

向作者/读者索取更多资源

This study aimed to assess rangeland degradation in North Tibet using an environmentally sensitive area index (ESAI) and identify the major drivers of degradation. The results showed that 33% of the study area was susceptive to rangeland degradation, with alpine desert-steppes in the west being the most sensitive areas. Vegetation cover type, grazing intensity, and aridity were found to be the most important factors contributing to rangeland degradation.
Rangelands are the dominant ecosystems in the Tibetan Plateau and the most critical livestock production resources. However, a large quantity of rangelands has degraded in North Tibet, with declined forage yield and invaded unpalatable weeds. Thus, identifying potential degradation is essential to manage rangelands sustainably in the future. In this study, we aimed to use an environmentally sensitive area index (ESAI) that integrated the conditions of vegetation, soil, climate, and management to assess rangeland degradation in North Tibet and identify the major drivers of degradation by the random forest model. The ESAI contained 16 indicators of the selected four categories, which were input by layers from geographic information system data. The results revealed that 33% of the study area was susceptive to rangeland degradation, in which alpine desert-steppes in the west, with the highest mean ESAI scores of 1.38, were the most sensitive areas. According to the degrees of degradation, only 9% of rangelands in the east had low mean values of ESAI (< 1.22), which were mostly located in the alpine meadow. The importance ranking for rangeland degradation based on the random forest model indicated that the highest importance was vegetation cover type, followed by grazing intensity and aridity with more than 60% mean decrease accuracy. Besides, field measurements showed that the adjusted correlation coefficient of multiple regression of four vegetation degradation indicators was 0.86, illustrating that the assessment as a proxy for rangeland degradation sensitivity is feasible. This study provides an important approach to evaluating potential rangeland degradation. Therefore, the assessment model is recommended for regional-level decision makers to manage rangeland degradation with full consideration of local physical conditions. (C) 2022 The Society for Range Management. Published by Elsevier Inc. All rights reserved.

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