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基于自然植被的延河流域生物量空间分布格局评估 被引量:5

Spatial Distribution Evaluation of Biomass in Yanhe River Catchment Using Natural Ecosystem as a Reference.
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摘要 研究植被的生物量分布及环境对生物量的承载状况,对于区域植被恢复规划、布局等具有重要意义。以黄土丘陵区延河流域为研究区,以自然植被为参照,利用广义相加模型(GAM,generalized additive model)及GIS空间分析技术预测了流域潜在生物量的分布格局;同时,利用遥感资料,预测出流域现有的植被生物量及其空间格局。以潜在生物量为参照,现实生物量为基础,通过空间分析,对流域环境的生物量承载状况进行评估。结果表明:在流域东南部地区,潜在生物量高于现实生物量;而在中北部,有较多的立地环境的现实生物量大于潜在生物量,超过了环境生物量的最大现实承载能力,导致人工植被在这些立地环境条件下的退化。识别这些植被,对于流域植被的改造和利用、流域植被恢复规划与布局等具有重要的应用价值。 The study of the distribution of vegetation biomass and environmental biomass carrying condition is of great importance to the restoration planning and layout of regional vegetation. This study chooses Yanhe River catchment as a case study and chooses natural ecosystem as a reference to predict the spatial distribution of potential biomass in the catchment through the use of generalized additive model (GAM) and GIS spatial analysis method. In addition,By using remote sensing data to predict the actual biomass and its spatial distribution in the catchment. Then the potential biomass is taken as a reference and compared with the reality biomass to evaluate environmental biomass carrying condition of catchment by spatial analysis. The results showed that potential vegetation biomass is higher than the reality of vegetation in the southeast of Yanhe River catchment; but in the north-central region,the actual biomass in a lot of local sites is higher than the potential biomass,exceeding the largest real carrying capacity of environment. This study overcomes the shortcomings of small-scale (slope or plot scales) researches in spatial changes and can give a better assessment of the environmental biomass carrying condition and the spatial distribution in Yanhe River catchment,and is of great value to the improvement and utilization of degraded vegetation and the restoration planning and layout of regional vegetation.
出处 《水土保持研究》 CSCD 北大核心 2010年第3期35-39,F0003,共6页 Research of Soil and Water Conservation
基金 国家自然科学基金项目(40871246) 国家科技支撑课题(2006BAD09B03) 中国科学院"西部之光"人才培养计划项目(2006HX01)
关键词 生物量 广义相加模型 植被指数 分布预测 biomass generalized additive model vegetation index distribution prediction
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