荒漠化监测与评价指标研究进展
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摘要
适宜的指标体系是高效开展荒漠化监测与评价工作的关键。文中从地面调查和遥感监测两个方面综述了荒漠化监测与评价的指标体系。地面调查的指标体系一般从三个层次上构建:以单一植被盖度指示荒漠化,综合植被、气候、土壤、土地类型等监测荒漠化状态,基于"压力-状态-响应"理论框架系统构建荒漠化监测与评价体系。遥感监测与评价指标主要包括多期影像分类指标、植被参数和土壤参数三个方面。最后总结当前研究中存在的问题,并提出了"多类型-多尺度-多维度"的荒漠化监测与评价指标框架,可为遥感与地面相结合的多类型和多尺度荒漠化过程监测与评价提供科学参考。
Suitable indicator system is the key to efficiently and accurately monitor and evaluate desertification.The desertification monitoring and evaluating indicators for field survey and remote sensing were reviewed. The indicators used in field survey were generally constructed in three levels. They were the single indicator of vegetation cover,the multiply indicators including vegetation,climate,soil,land cover,and the indicator system based on the pressure-state-response framework. The indicators for remote sensing monitoring and evaluating mainly consisted of classification from multi-phase remote sensing images,vegetation detection and soil parameters detection. Finally,we summarized the issues and proposed an indicator framework from multi-type,multi-scale and multi-dimension perspective. The framework could provide scientific reference for desertification monitoring and evaluation using both remote sensing and field survey.
Suitable indicator system is the key to efficiently and accurately monitor and evaluate desertification.The desertification monitoring and evaluating indicators for field survey and remote sensing were reviewed. The indicators used in field survey were generally constructed in three levels. They were the single indicator of vegetation cover,the multiply indicators including vegetation,climate,soil,land cover,and the indicator system based on the pressure-state-response framework. The indicators for remote sensing monitoring and evaluating mainly consisted of classification from multi-phase remote sensing images,vegetation detection and soil parameters detection. Finally,we summarized the issues and proposed an indicator framework from multi-type,multi-scale and multi-dimension perspective. The framework could provide scientific reference for desertification monitoring and evaluation using both remote sensing and field survey.
引文
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[10]Reynolds J F,Grainger A,Stafford Smith D M,et al. Scientific concepts for an integrated analysis of desertification[J]. Land Degradation&Development,2011,22(2):166-183.
[11]崔向慧,卢琦.中国荒漠化防治标准化发展现状与展望[J].干旱区研究,2012,29(5):913-919.
[12]曹珊珊,孙伟,侯瑞霞,等.基于ADMEMS的荒漠化监测时空信息服务架构:设计与实证[J].干旱区资源与环境,2015,29(7):82-88.
[13]高永.荒漠化监测[M].北京:气象出版社,2013:150-162.
[14]Tucker C J,Dregne H E,Newcomb W W. Expansion and contraction of the Sahara Desert from 1980 to 1990[J]. Science,1991,253(5017):299-301.
[15]Qi Y,Chang Q,Jia K,et al. Temporal-spatial variability of desertification in an agro-pastoral transitional zone of northern Shaanxi Province,China[J]. Catena,2012,88(1):37-45.
[16]林进,周卫东.中国荒漠化监测技术综述[J].世界林业研究,1998(5):58-63.
[17]刘玉平.荒漠化评价的理论框架[J].干旱区资源与环境,1998,12(3):75-83.
[18]高志海,孙保平,丁国栋.荒漠化评价研究综述[J].中国沙漠,2004,24(1):17-22.
[19]王葆芳,刘星晨,王君厚,等.沙质荒漠化土地评价指标体系研究[J].干旱区资源与环境,2004,18(4):23-28.
[20]杨晓晖,慈龙骏.基于遥感技术的荒漠化评价研究进展[J].世界林业研究,2006,9(6):11-17.
[21]李亚云,杨秀春,朱晓华,等.遥感技术在中国土地荒漠化监测中的应用进展[J].地理科学进展,2009,28(1):55-62.
[22]孙武,南忠仁,李保生,等.荒漠化指标体系设计原则的研究[J].自然资源学报,2000,15(2):160-163.
[23]殷贺,李正国,王仰麟.荒漠化评价研究进展[J].植物生态学报,2011,35(3):345-352.
[24]王海,王连喜,杨祖祥,等.荒漠化遥感监测与评估的应用研究动态[J].灾害学,2017,32(4):153-161.
[25]吴彤,倪绍祥.土地荒漠化监测方法研究进展[J].国土资源科技管理,2005,22(5):73-76.
[26]丁国栋.区域荒漠化评价中植被的指示性及盖度分级标准研究-以毛乌素沙区为例[J].水土保持学报,2004,18(1):158-160.
[27]Zhou D,Zhao X,Hu H,et al. Long-term vegetation changes in the four mega-sandy lands in Inner Mongolia,China[J]. Landscape Ecology,2015,30(9):1613-1626.
[28]Berry L,Ford R B. Recommendations for a system to monitor critical indicators in areas prone to desertification[D]. Massachusetts:Clark University,1977.
[29]Reinig P. Handbook on desertification indicators[M]. Washington,D. C.:American Association for the Advancement of Science,1978.
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