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作 者:张文华[1] 贾志斌[1] 卓义[1,2] 蒋欣阳[1]
机构地区:[1]内蒙古大学环境与资源学院,呼和浩特010021 [2]中国农业科学院草原研究所,呼和浩特010010
出 处:《地球环境学报》2016年第2期163-172,共10页Journal of Earth Environment
基 金:内蒙古自治区自然科学基金项目(2013MS0506);中国农业科学院创新工程项目(CAAS-ASTIP-IGR2015-04)~~
摘 要:以内蒙古锡林郭勒盟为研究区,在陈世荣建立模型的基础上,明确2000—2010年产草量的空间分布及变化情况,从而反映研究区草地生长状况及空间格局的动态变化,并对相关影响因素进行分析。结果表明:(1)11年草地平均产草量为1.2×10~7 t,平均单产为601.97 kg?hm^(-2),整个研究时间序列中产草量在1.0×10~7 t—1.5×10~7 t波动变化;(2)草地产草量的地域性差异较明显,产草量空间分布情况为东部>中部>西部,其中中部及东部产草量变化较大,西部几乎无明显变化;(3)草地产草量受自然因素和人为因素的综合影响,其中降水量和载畜量是影响草地产草量的重要因素。Background, aim, and scope Grassland ecosystems can provide the regulation of climate, water conservation, sand-fi xing and other important ecosystem services, it is an important material basis for regional economic and social development. Make a reasonable assessment to grassland yield, can not only effectively learn the structure, coordination of function and environmental carrying capacity of grassland ecosystem, but also make a correct assessment of livestock development in the study area. It can also protect and rational utilize of grassland, promote sustainable development of animal husbandry, maintain and improve the ecological environment quality, refer to reasonable and effective response. However, due to the combined effect of human-made and natural factors, making signifi cant changes in grassland ecosystem. Based on the model of the establishment by Chen Shirong, yield of grass was determined in Xilin Gol League from 2000 to 2010, which reflect the growth conditions of grassland and its dynamic change of spatial patterns in the study area, and the relevant factors has been analyzed. This has important implications for the sustainable development and use of grasslands. Materials and methods Based on the Arc GIS and the NPP data from EOS/MODIS of NASA, by using the model of establishment by Chen Shirong, calculation grass yield of Xilin Gol from 2000 to 2010, time resolution is 16 d, spatial resolution is 1000 m×1000 m, calculate and study the change of grass yield. First of all, calculate the grassland production and distribution of the area. Secondly, in order to ensure the feasibility of NPP data results, combined with the accuracy of a comprehensive analysis of personnel related. Thirdly, introduction of temperature, precipitation and other natural factors and human factors such as livestock capacity, analyze the impact of these factors on Pasture amount. Results The results show that(1) The distribution of grass yield has signifi cant spatial differences, eastern grass yield is higher, prairie
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