Quantifying the Evolution of Giant Panda Habitats in Sichuan Province under Different Scenarios
The giant panda (<i>Ailuropoda melanoleuca</i>) is a relic species in China and a flagship species in the field of endangered wildlife conservation. The conservation of the giant panda’s habitat has gained widespread attention for this reason. Historically, Chinese Giant Panda Nature Res...
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MDPI AG
2022-10-01
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| Series: | Diversity |
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| Online Access: | https://www.mdpi.com/1424-2818/14/10/865 |
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| author | Zhenjiang Song Baoshu Wu Wenguang Xiong Lan Gao Yi Li |
| author_facet | Zhenjiang Song Baoshu Wu Wenguang Xiong Lan Gao Yi Li |
| author_sort | Zhenjiang Song |
| collection | DOAJ |
| description | The giant panda (<i>Ailuropoda melanoleuca</i>) is a relic species in China and a flagship species in the field of endangered wildlife conservation. The conservation of the giant panda’s habitat has gained widespread attention for this reason. Historically, Chinese Giant Panda Nature Reserves are surrounded by communities and the resource utilization behavior of households disturbs the giant panda habitat. Changes in these communities and in Giant Panda Nature Reserves began around 2010, with the feminization and aging of the farm labor force. These changes brought different resource utilization behaviors that led to different evolutionary tendencies in giant panda habitats. This research study assesses the impact of these tendencies based on data from the fourth survey of the giant panda in the Sichuan Province and from geographic information data. The paper aims to uncover the internal mechanisms of farmers’ resource utilization behavior in terms of the changes wrought to giant panda habitats. The paper simulates the future habitat of the giant panda based on the LUCC (land use/cover change) model to identify anticipated changes in future landscape patterns and the habitat quality of giant pandas under the current scenarios. The paper analyzes the spatial-temporal change of landscape patterns through the land use transfer matrix, based on the Markov model. The results of the scenario analyses illustrate the spatial and temporal difference in habitat quality. The driving mechanism for landscape pattern change is explored using the logistic regression model. The paper simulates the variation tendency of giant panda habitats under differential labor force structures and resource utilization behavior based on the CA (cellular automata) model, with the robustness of the results verified by participatory experiment. Through four scenarios of simulated farm labor force structure and resource utilization behavior, results suggest that the quality of giant panda habitats in the future will be relatively high when workforce feminization and aging is intense and resource utilization behavior is weakened. The simulated results confirm that the current agricultural labor force structure can reduce the intensity of resource utilization behavior. In this scenario, disturbance to giant panda habitats would decrease and their quality would improve. |
| first_indexed | 2024-03-09T20:20:35Z |
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| institution | Directory Open Access Journal |
| issn | 1424-2818 |
| language | English |
| last_indexed | 2024-03-09T20:20:35Z |
| publishDate | 2022-10-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Diversity |
| spelling | doaj.art-98ee56f3bc0e4a39b9a2436079e8a3512023-11-23T23:49:02ZengMDPI AGDiversity1424-28182022-10-01141086510.3390/d14100865Quantifying the Evolution of Giant Panda Habitats in Sichuan Province under Different ScenariosZhenjiang Song0Baoshu Wu1Wenguang Xiong2Lan Gao3Yi Li4Institute of New Rural Development, College of Economics and Management, Jiangxi Agricultural University, Nanchang 330045, ChinaSchool of Business Administration, Jiangxi University of Finance and Economics, Nanchang 330032, ChinaSchool of Foreign Languages, Jiangxi Agricultural University, Nanchang 330045, ChinaCollege of Economics and Management, South China Agricultural University, Guangzhou 510642, ChinaCollege of Economics and Management, South China Agricultural University, Guangzhou 510642, ChinaThe giant panda (<i>Ailuropoda melanoleuca</i>) is a relic species in China and a flagship species in the field of endangered wildlife conservation. The conservation of the giant panda’s habitat has gained widespread attention for this reason. Historically, Chinese Giant Panda Nature Reserves are surrounded by communities and the resource utilization behavior of households disturbs the giant panda habitat. Changes in these communities and in Giant Panda Nature Reserves began around 2010, with the feminization and aging of the farm labor force. These changes brought different resource utilization behaviors that led to different evolutionary tendencies in giant panda habitats. This research study assesses the impact of these tendencies based on data from the fourth survey of the giant panda in the Sichuan Province and from geographic information data. The paper aims to uncover the internal mechanisms of farmers’ resource utilization behavior in terms of the changes wrought to giant panda habitats. The paper simulates the future habitat of the giant panda based on the LUCC (land use/cover change) model to identify anticipated changes in future landscape patterns and the habitat quality of giant pandas under the current scenarios. The paper analyzes the spatial-temporal change of landscape patterns through the land use transfer matrix, based on the Markov model. The results of the scenario analyses illustrate the spatial and temporal difference in habitat quality. The driving mechanism for landscape pattern change is explored using the logistic regression model. The paper simulates the variation tendency of giant panda habitats under differential labor force structures and resource utilization behavior based on the CA (cellular automata) model, with the robustness of the results verified by participatory experiment. Through four scenarios of simulated farm labor force structure and resource utilization behavior, results suggest that the quality of giant panda habitats in the future will be relatively high when workforce feminization and aging is intense and resource utilization behavior is weakened. The simulated results confirm that the current agricultural labor force structure can reduce the intensity of resource utilization behavior. In this scenario, disturbance to giant panda habitats would decrease and their quality would improve.https://www.mdpi.com/1424-2818/14/10/865structure of the labor forceresource utilization behaviorgiant panda habitatLUCClandscape pattern |
| spellingShingle | Zhenjiang Song Baoshu Wu Wenguang Xiong Lan Gao Yi Li Quantifying the Evolution of Giant Panda Habitats in Sichuan Province under Different Scenarios Diversity structure of the labor force resource utilization behavior giant panda habitat LUCC landscape pattern |
| title | Quantifying the Evolution of Giant Panda Habitats in Sichuan Province under Different Scenarios |
| title_full | Quantifying the Evolution of Giant Panda Habitats in Sichuan Province under Different Scenarios |
| title_fullStr | Quantifying the Evolution of Giant Panda Habitats in Sichuan Province under Different Scenarios |
| title_full_unstemmed | Quantifying the Evolution of Giant Panda Habitats in Sichuan Province under Different Scenarios |
| title_short | Quantifying the Evolution of Giant Panda Habitats in Sichuan Province under Different Scenarios |
| title_sort | quantifying the evolution of giant panda habitats in sichuan province under different scenarios |
| topic | structure of the labor force resource utilization behavior giant panda habitat LUCC landscape pattern |
| url | https://www.mdpi.com/1424-2818/14/10/865 |
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