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| 黄河源区不同县域生态承载力时空变化分析 |
| Temporal and Spatial Changes of Ecological Carrying Capacity of Different Counties in the Source Region of the Yellow River |
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| DOI： |
| 中文关键词: 生态承载力 绝对生态承载力 生态足迹法 黄河源区 |
| 英文关键词: Ecological carrying capacity Absolute ecological carrying capacity Ecological footprint method Source region of the Yellow River |
| 基金项目:国家自然科学“长江源区气候变化趋势预测与典型湿地水文水质响应研究”基金资助项目（31760147）；青海省科技厅“西宁市湿地碳氮汇能力及湿地植物固碳脱氮技术研究”基金资助项目（2023-HZ-802） |
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| 摘要点击次数: 145 |
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| 中文摘要: |
| 根据2005—2020年黄河源区9个县域土地利用类型变化和生态承载力转换因子，采用生态足迹法计算并分析各县域生态承载力和绝对生态承载力动态变化。结果表明：近15年来源区各县域草地面积占优势，建设用地面积增幅均较高，兴海县、同德县、玛多县和达日县的未利用地面积呈明显缩减趋势；2005—2020年各县域生态承载力和绝对生态承载力均呈增加趋势，玛多县生态承载力最高且增加量最大（44252334hm2），河南县的增加量最小（11051965hm2），同德县绝对生态承载力增加量最高（3566），久治县增加量最低（1430）。源区生态承载力的主要驱动因素为年降水量、年均蒸发量、年均温度、城镇人口数、GDP、第二产业产值、人均GDP、第一产业产值、第三产业产值、畜牧量产量、能源生产总量、人口总数、农村人口数。 |
| 英文摘要: |
| Based on the changes of land use types and ecological carrying capacity conversion factors of 9 counties in the source region of the Yellow River from 2005 to 2020， ecological footprint method was used to calculate and analyze the dynamic changes of ecological carrying capacity and absolute ecological carrying capacity in each county. The results showed that in the past 15 years， the area of grassland was dominant in each county， and the area of construction land increased greatly. The unused land area in Xinghai County， Tongde County， Maduo County and Dari County showed an obvious decreasing trend. From 2005 to 2020， the ecological carrying capacity and absolute ecological carrying capacity of each county showed an increasing trend. Maduo County had the highest ecological carrying capacity and the largest increase（442 523.34 hm2）， while Henan County had the smallest increase（110 519.65 hm2）. The increase of absolute ecological carrying capacity was the highest in Tongde County（35.66） and the lowest in Jiuzhi County（14.30）. The main driving factors of ecological carrying capacity in the source area were annual precipitation， average annual evaporation， average annual temperature， urban population， GDP， output value of the secondary industry， per capita GDP， output value of the primary industry， output value of the tertiary industry， livestock production， total energy production， total population and rural 〖GK!86mm〗population. |
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