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Spatialization method of monitoring grazing intensity

A case‐study of the Tibet Selinco basin, Qinghai‐Tibet Plateau

Bibliographic Data

ID21648969
AuthorsGuilin Xi (0000-0002-7015-4668, College of Earth and Environmental Sciences Lanzhou University Lanzhou PR China), Changhui Ma (0000-0001-5189-3097, College of Earth and Environmental Sciences Lanzhou University Lanzhou PR China), Yaowen Xie (0000-0002-6625-0294, College of Earth and Environmental Sciences Lanzhou University Lanzhou PR China, corresponding author), Zecheng Guo (0000-0002-7110-3045, College of Earth and Environmental Sciences Lanzhou University Lanzhou PR China), Tana Bao (School of Ecology and Environment Inner Mongolia University Hohhot PR China), Xueyuan Zhang (0000-0003-0159-6996, College of Earth and Environmental Sciences Lanzhou University Lanzhou PR China), Yiyang Liu (0000-0002-5519-3853, College of Earth and Environmental Sciences Lanzhou University Lanzhou PR China), Haoran Wang (0000-0003-2915-6714, Lanzhou University), H-F Wang (0000-0001-5740-0871, College of Earth and Environmental Sciences Lanzhou University Lanzhou PR China)
Year2023
Volume34
Issue5
Pages1311-1322
Publication date2023-03-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueLand Degradation and Development (JOURNAL)
Journal identifiersISSN: 1085-3278 • E-ISSN: 1099-145X
PublisherWiley (PUBLISHER • GB)
DOI10.1002/ldr.4534
OpenAlexW4308813941
LanguageEN
Citations received1
References cited56

The problem of grassland degradation induced by livestock production at the expense of local grasses has become a serious ecological problem worldwide. To maintain livestock production and sustainable grassland development, the extent and intensity of grassland utilization needs to be better understood. In this study, a model was developed to monitor the intensity of grazing in a typical grazing area (Tibet Selinco basin) of the Qinghai‐Tibet Plateau. Combining the number of livestock at the township scale with their matching livestock habitat area and location, the biomass consumed by livestock was assigned to a productivity supply map (NPP) using a mathematical iterative algorithm from the perspective of different foraging habits of different livestock. The objective was to accurately measure the overall grazing pressure on the pasture as well as to estimate livestock pasture utilization. The model confirmed distinct spatial differences in the intensity of grassland utilization in the Tibet Selinco basin, in which the overall intensity was significantly low except in the southwestern region. The overall grazing area was found to be 150,000 km 2 , of which moderate grazing area occupied 130,000 km 2 and overgrazing area occupied 20,000 km 2 , accounting for 87% and 13% of the total grazing area, respectively. The proposed model can quantify human activities spatially and provide a reliable and accurate scientific basis for livestock production development and ecological environment management

Agroforestry · Biology · Geography · Grassland · Grassland degradation · Grazing · Grazing pressure · Livestock · Overgrazing · Pasture · Physical geography · Structural basin · Environmental Science · Land Use and Ecosystem Services · Rangeland Management and Livestock Ecology · Rural development and sustainability · Ecology · Forestry

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Unique citing works1
Citations per year0,5
Citation span2024 - 2024 (1)
Citation velocityrecent
Highly citedNo
Citation typesNeutral: 1

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