Comprehensive Sustainability Indicator for Land Resource-Carrying Capacity in a Farming-Pastoral Region
The Northeast Farming-pastoral ecotone (NFPE) in China is crucial for farming and pastoralism. However, sustainable development of land resources faces several challenges from human activities and environmental degradation. Thus, assessing land resource-carrying capacity (LRCC) is crucial for effect...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2023-07-01
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| Series: | Remote Sensing |
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| Online Access: | https://www.mdpi.com/2072-4292/15/15/3726 |
| _version_ | 1827730917340217344 |
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| author | Suizi Wang Yaxian Zhang Jiangwen Fan Haiyan Zhang Huajun Fang |
| author_facet | Suizi Wang Yaxian Zhang Jiangwen Fan Haiyan Zhang Huajun Fang |
| author_sort | Suizi Wang |
| collection | DOAJ |
| description | The Northeast Farming-pastoral ecotone (NFPE) in China is crucial for farming and pastoralism. However, sustainable development of land resources faces several challenges from human activities and environmental degradation. Thus, assessing land resource-carrying capacity (LRCC) is crucial for effective land-use planning and management. This study proposes a comprehensive indicator system to evaluate LRCC in the NFPE. We integrate remote sensing, model simulation, and statistical data, employing Geographic Information System analysis and statistical techniques to assess spatiotemporal evolution characteristics of LRCC. Findings indicate increasing LRCC with spatial-temporal heterogeneity. The northern region exhibits relatively high and growing LRCC, while some eastern regions have low LRCC but a high growth trend. The southern region displays both low LRCC and growth. Balancing regional development and ecological protection requires considering spatial heterogeneity of LRCC in land-use planning and management decisions, facilitating differentiated land-use strategies for sustainable development. |
| first_indexed | 2024-03-11T00:18:18Z |
| format | Article |
| id | doaj.art-4af4b4d999e6470ca3515c764ef3473a |
| institution | Directory Open Access Journal |
| issn | 2072-4292 |
| language | English |
| last_indexed | 2024-03-11T00:18:18Z |
| publishDate | 2023-07-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Remote Sensing |
| spelling | doaj.art-4af4b4d999e6470ca3515c764ef3473a2023-11-18T23:29:59ZengMDPI AGRemote Sensing2072-42922023-07-011515372610.3390/rs15153726Comprehensive Sustainability Indicator for Land Resource-Carrying Capacity in a Farming-Pastoral RegionSuizi Wang0Yaxian Zhang1Jiangwen Fan2Haiyan Zhang3Huajun Fang4Key Laboratory of Land Surface Pattern and Simulation, Institute of Geographical Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, ChinaInstitute of Qinghai-Tibetan Plateau, Southwest Minzu University, Chengdu 610041, ChinaKey Laboratory of Land Surface Pattern and Simulation, Institute of Geographical Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, ChinaKey Laboratory of Land Surface Pattern and Simulation, Institute of Geographical Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, ChinaKey Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographical Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, ChinaThe Northeast Farming-pastoral ecotone (NFPE) in China is crucial for farming and pastoralism. However, sustainable development of land resources faces several challenges from human activities and environmental degradation. Thus, assessing land resource-carrying capacity (LRCC) is crucial for effective land-use planning and management. This study proposes a comprehensive indicator system to evaluate LRCC in the NFPE. We integrate remote sensing, model simulation, and statistical data, employing Geographic Information System analysis and statistical techniques to assess spatiotemporal evolution characteristics of LRCC. Findings indicate increasing LRCC with spatial-temporal heterogeneity. The northern region exhibits relatively high and growing LRCC, while some eastern regions have low LRCC but a high growth trend. The southern region displays both low LRCC and growth. Balancing regional development and ecological protection requires considering spatial heterogeneity of LRCC in land-use planning and management decisions, facilitating differentiated land-use strategies for sustainable development.https://www.mdpi.com/2072-4292/15/15/3726spatiotemporal heterogeneityland resource-carrying capacitysustainable developmentcomprehensive indicator systemmulti-source data |
| spellingShingle | Suizi Wang Yaxian Zhang Jiangwen Fan Haiyan Zhang Huajun Fang Comprehensive Sustainability Indicator for Land Resource-Carrying Capacity in a Farming-Pastoral Region Remote Sensing spatiotemporal heterogeneity land resource-carrying capacity sustainable development comprehensive indicator system multi-source data |
| title | Comprehensive Sustainability Indicator for Land Resource-Carrying Capacity in a Farming-Pastoral Region |
| title_full | Comprehensive Sustainability Indicator for Land Resource-Carrying Capacity in a Farming-Pastoral Region |
| title_fullStr | Comprehensive Sustainability Indicator for Land Resource-Carrying Capacity in a Farming-Pastoral Region |
| title_full_unstemmed | Comprehensive Sustainability Indicator for Land Resource-Carrying Capacity in a Farming-Pastoral Region |
| title_short | Comprehensive Sustainability Indicator for Land Resource-Carrying Capacity in a Farming-Pastoral Region |
| title_sort | comprehensive sustainability indicator for land resource carrying capacity in a farming pastoral region |
| topic | spatiotemporal heterogeneity land resource-carrying capacity sustainable development comprehensive indicator system multi-source data |
| url | https://www.mdpi.com/2072-4292/15/15/3726 |
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