中英文献综合统计,土地退化评价应用频次较高的指标有植被盖度、坡度、经济收入水平、有机质含量和土地利用类型等;土壤侵蚀应用频次较高的有植被因子、坡度、地貌类型、有机质含量和土地利用类型等;沙化有植被覆盖度、沙地占地率、土地利用类型、有机质含量、人口数量等。土地退化、土壤侵蚀和沙化遥感监测指标也集中在植被盖度、坡度、土地利用类型等指标。
The monitoring and assessment indicators of land degradation play a very important role in protecting and using land resources. In this paper, the authors respectively search the literatures on land degradation, soil erosion and desertification which were published at home and abroad, and then the authors record, count and analyze the indicators selected from those literatures based on the method of bibliometrics. The result indicates that these indicators can be divided into six classes, including soil, vegetation, society and economy, zoology and biology, climate and topography. According to the analysis result, vegetation cover, slope gradient, level of income, organic substance content and type of land use, etc. are frequently used in Chinese and English literatures about land degradation assessment, meanwhile vegetation factor, slope gradient, type of topography, organic substance content and type of land use are frequently used in the literatures about soil erosion assessment, and vegetation cover, percent of sandy land, type of land use, organic substance content, population, etc. are frequently used in literatures about desertification assessment. And for remote sensing monitoring, the high frequency indicators include vegetation cover, slope gradient, type of land use, etc.
[1] 丁国栋,赵廷宁,范建友,等.荒漠化评价指标体系研究现状述评[J].北京林业大学学报,2004,26(1):92~97.
[2] 孙 武,李 森.土地退化评价与监测技术路线的研究[J].地理科学,2000,20(1):92~96.
[3] 卢 琦,郭建亮.荒漠化监测评价的标准与指标体系[J].世界林业研究,1999,12(2):44~50.
[4] Kharin S G.Desertification assessment and mapping: a case study of Turkmenistan,USSR[J]. Annals of Arid Zone,1986,25(1):26-29.
[5] Tengberg A.Nebkha dunes as indicators of wind erosion and land degradation in the Sahel zone of Burkina Faso[J].Journal of Arid Environment,1995,30:265-282.
[6] Bertiller M B,Ares J O,Bisigato A J. Multiscale indicators of land degradation in the Patagonian Monte, Argentina[J]. Environmental Management,2002,30(5):704–715.
[7] 吴 波,苏志珠,杨晓晖,等.荒漠化监测与评价指标体系框架[J].林业科学研究,2005,18(4):490~496.
[8] Zhang K B, Yang X H.Desertification Assessment Indicator System in China[J]. Forestry Studies in China,2002,4(1):44-48.
[9] 李香云,王立新,章予舒,等.西北干旱区土地荒漠化中人类活动作用及其指标选择[J].地理科学,2004,24(1):68~76.
[10] 郭旭东,邱 扬,连 纲,等.基于"压力-状态-响应"框架的县级土地质量评价指标研究[J].地理科学,2005,25(5):579~584.
[11] Ogle R B.The need for socio-economic and environmental indicators to monitor degraded ecosystem rehabilitation: a case study from Tanzania [J].Agriculture Ecosystems & Environment, 2001,87:151-157.
[12] 王 静,等(著).土地资源遥感监测与评价方法[M].北京:科学出版社,2006.
[13] Chabrillat S, Kaufmann H, Hill J, et al. Research opportunities for studying land degradation with spectroscopic techniques[J]. Proceedings of the SPIE,2003,4886:11-19.
[14] 第宝锋,杨 忠,艾南山,等.基于RS与GIS的金沙江干热河谷区退化生态系统评价——以云南省元谋县为例[J].地理科学,2005,25(4):484~490.
[15] Khan N M,Rastoskuev V V,Sato Y,et al.Assessment of hydrosaline land degradation by using a simple approach of remote sens-ing indicators[J]. Agricultural Water Management,2005,77: 96-109.
[16] 曾永年,向南平,冯兆东,等. Albedo-NDVI特征空间及沙漠化遥感监测指数研究[J].地理科学,2006,26(1):75~82.
[17] 范建容,刘淑珍,钟祥浩,等.金沙江干热河谷土地荒漠化评价方法研究[J].地理科学,2002,22(2):243~249.
[18] 张雪萍,郭艳清,张 毅.基于能值分析的黑龙江省西部沙地生态经济系统的可持续发展研究——以泰来县为例[J].地理科学,2006,26(2):60~164.
[19] 杨劲松.黄河三角洲地区土壤水盐空间变异特征研究[J].地理科学,2007,27(3):348~353.
[20] 王 娟,崔保山,卢 远.基于生态系统服务价值核算的土地利用规划战略环境评价[J].地理科学,2007,27(5):549~554.
[21] 华 文,周炳中,陈 逸,等.二次综合分析法在土地总体规划环境影响评价中的应用研究[J].地理科学,2007,27(5):555~560.
[22] 郑荣宝,刘毅华,董玉祥.广州市土地安全预警系统与RBF评估模型的构建[J].地理科学,2007,27(6):774~778.
[23] 李阳兵,邵景安,周国富,等.喀斯特山区石漠化成因的差异性定量研究——以贵州省盘县典型石漠化地区为例[J].地理科学,2007,27(6):785~790.
[24] 张 维,李 帅,熊 熊,等.基于文献计量方法的"十一五"期间工商管理学科国内外研究热点比较与分析[J].科学学与科学技术管理,2006,(3):5~10.
