| 天目山－怀玉山区水源涵养与生物多样性保护 重要区生态承载力评价 |
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| 引用本文： | 乔媛媛,于晴,金鹏,王淑,王旭东,李军利,熊沛枫,张云华.天目山－怀玉山区水源涵养与生物多样性保护 重要区生态承载力评价[J].安徽农业大学学报,2020,47(6):979. |
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| 作者姓名： | 乔媛媛 于晴 金鹏 王淑 王旭东 李军利 熊沛枫 张云华 |
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| 作者单位： | 安徽农业大学资源与环境学院，合肥 230036;安徽省环境保护宣传教育中心，合肥 230061 |
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| 基金项目： | 国家重点研发计划项目（2018YFD1100104）资助。 |
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| 摘 要： | 为了明确近10年天目山－怀玉山区水源涵养与生物多样性保护重要区生态承载力状况，基于社会发展压力、经济发展压力、资源环境支撑力和生态弹力构建评价指标体系，利用投影寻踪模型对2008—2017年天目山－怀玉山区水源涵养与生物多样性保护重要区生态承载力进行评价。研究结果显示，第三产业占GDP比重、人均国内生产总值、一般工业固体废弃物产生量及森林覆盖率对研究区城市生态承载力有较大影响。2008年研究区城市生态承载力评价等级基本安全的城市有6个，较不安全的城市有5个，不安全的城市有2个。2017年研究区城市里生态承载力评价等级较安全的城市有1个，基本安全的城市有1个，较不安全的城市有7个，不安全的城市有4个。2008—2017年5个城市生态承载力呈上升趋势，8个城市生态承载力呈下降趋势。研究区城市生态承载力在空间分布上呈现由中心向南北递减的趋势。
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| 关 键 词： | 生态承载力 投影寻踪模型 水源涵养 生物多样性保护 |
Evaluation of ecological carrying capacity in Tianmu Mountain-Huaiyu Mountain water conservation and biodiversity conservation important area |
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| QIAO Yuanyuan,YU Qing,JIN Peng,WANG Shu,WANG Xudong,LI Junli,XIONG Peifeng,ZHANG Yunhua.Evaluation of ecological carrying capacity in Tianmu Mountain-Huaiyu Mountain water conservation and biodiversity conservation important area[J].Journal of Anhui Agricultural University,2020,47(6):979. |
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| Authors: | QIAO Yuanyuan YU Qing JIN Peng WANG Shu WANG Xudong LI Junli XIONG Peifeng ZHANG Yunhua |
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| Institution: | School of Resources and Environment, Anhui Agricultural University, Hefei 230036;Anhui Environmental Protection Publicity and Education Center, Hefei 230061 |
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| Abstract: | In order to clarify the status of ecological carrying capacity of the Tianmu Mountain-Huaiyu Mountain water conservation and biodiversity conservation important areas in recent 10 years, an evaluation index system was constructed based on social development pressure, economic development pressure, resources and environmental support, and ecological elasticity. The projection pursuit model was used to evaluate the ecological carrying capacity in the Tianmu Mountain-Huaiyu Mountain water conservation and biodiversity conservation important areas from 2008 to 2017. The results showed that the tertiary industry of GDP per capita gross domestic product (GDP), general industrial solid waste production and forest coverage rate in the study area had a signifycant influence on urban ecological carrying capacity. From urban ecological carrying capacity evaluation grade, there were 6 cities with basic safety, 5 cities with less safety, and two cities with no safety in 2008. In 2017, there were 1 city with a safer ecological carrying capacity evaluation grade, 1 city with a basic safety grade, 7 cities with a less safe grade, and 4 cities with an unsafe grade. The ecological carrying capacity of 5 cities showed an upward trend, and that of 8 cities showed a downward trend from 2008 to 2017. The spatial distribution of urban ecological carrying capacity showed that decrease from the center to the north and the south in research area. |
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| Keywords: | ecological carrying capacity projection pursuit model water conservation biodiversity conservation |
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