| 面向县域尺度SDG 15.1.2的生物多样性重要区域遥感识别和量化评估——以德清县为例 |
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| 引用本文： | 刘少阳,白建军,陈军. 面向县域尺度SDG 15.1.2的生物多样性重要区域遥感识别和量化评估——以德清县为例[J]. 长江流域资源与环境, 2020, 29(1): 232-242. DOI: 10.11870/cjlyzyyhj202001021 |
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| 作者姓名： | 刘少阳 白建军 陈军 |
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| 作者单位： | （1.陕西师范大学地理科学与旅游学院，陕西 西安 710119；2.国家基础地理信息中心，北京 100830） |
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| 摘 要： | 联合国2030年可持续发展目标(SDG)中指标15.1.2由于元数据的尺度和可用性的问题,无法有效应用于县域尺度的评估。针对这一问题,利用遥感的数据及相关模型,基于县域尺度指标计算的考虑,从生物多样性的内涵出发,构建了一套生物多样性遥感评估指标体系,成功识别了案例区域生物多样性重要场地,实现了县域尺度SDG 15.1.2的量化计算。结果表明,研究区德清县在SDG 15.1.2实施情况良好,构造的生物多样性指数能够有效地监测县域尺度生物多样性状况及其变化。研究为SDG 15.1.2的评估提供了一种可操作的有效方法,为基层行政区域实现可持续发展的规划提供精准的参考信息。
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Identification and Quantitative Assessment of Important Sites for Biodiversity Based on Remote Sensing for SDG 15.1.2 at County Scale: A Case Study of Deqing County |
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| LIU Shao-yang,BAI Jian-jun,CHEN Jun. Identification and Quantitative Assessment of Important Sites for Biodiversity Based on Remote Sensing for SDG 15.1.2 at County Scale: A Case Study of Deqing County[J]. Resources and Environment in the Yangtza Basin, 2020, 29(1): 232-242. DOI: 10.11870/cjlyzyyhj202001021 |
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| Authors: | LIU Shao-yang BAI Jian-jun CHEN Jun |
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| Affiliation: | (1. Shaanxi Normal University, Xi’an 710119, China;2. National Geomatics Center of China, Beijing 100830, China) |
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| Abstract: | Indicator 15.1.2 of the United Nations 2030 Sustainable Development Goals (SDGs) cannot be effectively applied to county-scale assessments due to the scale and availability of the metadata. In order to solve this problem, a set of assessment indicator system for biodiversity was constructed by using remote sensing data and methods, it considered the connotation of biodiversity, based on the consideration of county scale calculation. The results show that the implementation of SDG 15.1.2 in Deqing County was good, and the biodiversity index could effectively monitor the status and changes of biodiversity at County scale. This study is helpful for calculating and evaluating the progress of implementation of SDG 15.1.2, and provides precise reference information for grassroots administrative regions to achieve sustainable development goals. |
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