Research on the spatial characterization of herder grazing intensity supported by mobile phone signaling data
IntroductionMobile phone signaling data have become one of the main types of data used to carry out spatial mobility analysis, but no research has simulated herders’ grazing intensity by using this measure.MethodsIn this paper, based on herders’ mobile phone signaling data, herders’ network centrali...
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Frontiers Media S.A.
2025-06-01
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| Series: | Frontiers in Ecology and Evolution |
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| Online Access: | https://www.frontiersin.org/articles/10.3389/fevo.2025.1526099/full |
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| author | Zhanming Qiao Zhanming Qiao Zhanming Qiao Min Zheng Min Zheng Min Zheng Zheng Li Zheng Li Quanmin Dong Chunping Zhang Yang Yu Quan Cao |
| author_facet | Zhanming Qiao Zhanming Qiao Zhanming Qiao Min Zheng Min Zheng Min Zheng Zheng Li Zheng Li Quanmin Dong Chunping Zhang Yang Yu Quan Cao |
| author_sort | Zhanming Qiao |
| collection | DOAJ |
| description | IntroductionMobile phone signaling data have become one of the main types of data used to carry out spatial mobility analysis, but no research has simulated herders’ grazing intensity by using this measure.MethodsIn this paper, based on herders’ mobile phone signaling data, herders’ network centrality and herders’ network connection intensity were established. The equal weight average method was employed to simulate herders’ grazing intensity, with empirical analyses conducted in the Henan Mongolian Autonomous County.ResultsThe findings indicated that: 1) herders’ mobile phone signaling data can quantitatively represent grazing intensity, and when combined with the density and elevation distribution of settlements in Henan County, it reveals that the spatial distribution of grazing intensity aligns with the trajectory of herders’ summer grazing activities. 2) The spatial characteristics of the centrality of the herders’ mobility network exhibited a concentrated point-like ring structure, primarily centered on the townships of Duosong and Youganning, with a decreasing spread outward. 3) The spatial characteristics of the intensity of herders’ mobility ties showed a circular distribution for the overall degree of network ties, which was primarily characterized by low ties. The intensity of mobility links among townships was low, with higher intensity observed only at the junctions of townships, indicating limited mobility among herders in Henan County regarding their herding behavior. 4) The grazing intensity of herders in Henan County was primarily characterized by light grazing.DiscussionResearch shows that the spatialized simulation model based on big data provided in this paper can accurately portray the spatial distribution characteristics of grazing intensity in the study area, ,and effectively and conveniently serve grassland resource management. |
| format | Article |
| id | doaj-art-d4e3d121bfca4aee8e403f8058559bbd |
| institution | OA Journals |
| issn | 2296-701X |
| language | English |
| publishDate | 2025-06-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Ecology and Evolution |
| spelling | doaj-art-d4e3d121bfca4aee8e403f8058559bbd2025-08-20T02:05:21ZengFrontiers Media S.A.Frontiers in Ecology and Evolution2296-701X2025-06-011310.3389/fevo.2025.15260991526099Research on the spatial characterization of herder grazing intensity supported by mobile phone signaling dataZhanming Qiao0Zhanming Qiao1Zhanming Qiao2Min Zheng3Min Zheng4Min Zheng5Zheng Li6Zheng Li7Quanmin Dong8Chunping Zhang9Yang Yu10Quan Cao11Qinghai University Academy of Animal Science and Veterinary Medicine/Qinghai Academy of Animal and Veterinary Science, Qinghai Provincial Key Laboratory of Adaptive Management on Alpine Grassland, Xi Ning, Qinghai, ChinaInformation Department, Qinghai Provincial Natural Resources Survey and Monitoring Institute, Xi Ning, Qinghai, ChinaResearch Laboratory for Natural Resources Investigation, Monitoring and Evaluation, Geomatics Technology and Application Key Laboratory of Qinghai Province, Xi Ning, Qinghai, ChinaInformation Department, Qinghai Provincial Natural Resources Survey and Monitoring Institute, Xi Ning, Qinghai, ChinaResearch Laboratory for Natural Resources Investigation, Monitoring and Evaluation, Geomatics Technology and Application Key Laboratory of Qinghai Province, Xi Ning, Qinghai, ChinaCollege of Agriculture and Animal Husbandry, Qinghai University, Xi Ning, Qinghai, ChinaInformation Department, Qinghai Provincial Natural Resources Survey and Monitoring Institute, Xi Ning, Qinghai, ChinaResearch Laboratory for Natural Resources Investigation, Monitoring and Evaluation, Geomatics Technology and Application Key Laboratory of Qinghai Province, Xi Ning, Qinghai, ChinaQinghai University Academy of Animal Science and Veterinary Medicine/Qinghai Academy of Animal and Veterinary Science, Qinghai Provincial Key Laboratory of Adaptive Management on Alpine Grassland, Xi Ning, Qinghai, ChinaQinghai University Academy of Animal Science and Veterinary Medicine/Qinghai Academy of Animal and Veterinary Science, Qinghai Provincial Key Laboratory of Adaptive Management on Alpine Grassland, Xi Ning, Qinghai, ChinaQinghai University Academy of Animal Science and Veterinary Medicine/Qinghai Academy of Animal and Veterinary Science, Qinghai Provincial Key Laboratory of Adaptive Management on Alpine Grassland, Xi Ning, Qinghai, ChinaQinghai University Academy of Animal Science and Veterinary Medicine/Qinghai Academy of Animal and Veterinary Science, Qinghai Provincial Key Laboratory of Adaptive Management on Alpine Grassland, Xi Ning, Qinghai, ChinaIntroductionMobile phone signaling data have become one of the main types of data used to carry out spatial mobility analysis, but no research has simulated herders’ grazing intensity by using this measure.MethodsIn this paper, based on herders’ mobile phone signaling data, herders’ network centrality and herders’ network connection intensity were established. The equal weight average method was employed to simulate herders’ grazing intensity, with empirical analyses conducted in the Henan Mongolian Autonomous County.ResultsThe findings indicated that: 1) herders’ mobile phone signaling data can quantitatively represent grazing intensity, and when combined with the density and elevation distribution of settlements in Henan County, it reveals that the spatial distribution of grazing intensity aligns with the trajectory of herders’ summer grazing activities. 2) The spatial characteristics of the centrality of the herders’ mobility network exhibited a concentrated point-like ring structure, primarily centered on the townships of Duosong and Youganning, with a decreasing spread outward. 3) The spatial characteristics of the intensity of herders’ mobility ties showed a circular distribution for the overall degree of network ties, which was primarily characterized by low ties. The intensity of mobility links among townships was low, with higher intensity observed only at the junctions of townships, indicating limited mobility among herders in Henan County regarding their herding behavior. 4) The grazing intensity of herders in Henan County was primarily characterized by light grazing.DiscussionResearch shows that the spatialized simulation model based on big data provided in this paper can accurately portray the spatial distribution characteristics of grazing intensity in the study area, ,and effectively and conveniently serve grassland resource management.https://www.frontiersin.org/articles/10.3389/fevo.2025.1526099/fullmobile phone signaling datanetwork centralitynetwork connection intensitygrazing intensityspatial characterization |
| spellingShingle | Zhanming Qiao Zhanming Qiao Zhanming Qiao Min Zheng Min Zheng Min Zheng Zheng Li Zheng Li Quanmin Dong Chunping Zhang Yang Yu Quan Cao Research on the spatial characterization of herder grazing intensity supported by mobile phone signaling data Frontiers in Ecology and Evolution mobile phone signaling data network centrality network connection intensity grazing intensity spatial characterization |
| title | Research on the spatial characterization of herder grazing intensity supported by mobile phone signaling data |
| title_full | Research on the spatial characterization of herder grazing intensity supported by mobile phone signaling data |
| title_fullStr | Research on the spatial characterization of herder grazing intensity supported by mobile phone signaling data |
| title_full_unstemmed | Research on the spatial characterization of herder grazing intensity supported by mobile phone signaling data |
| title_short | Research on the spatial characterization of herder grazing intensity supported by mobile phone signaling data |
| title_sort | research on the spatial characterization of herder grazing intensity supported by mobile phone signaling data |
| topic | mobile phone signaling data network centrality network connection intensity grazing intensity spatial characterization |
| url | https://www.frontiersin.org/articles/10.3389/fevo.2025.1526099/full |
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