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作 者:张金亭[1] 董艳超 叶宗达 Zhang Jinting;Dong Yanchao;Ye Zongda(School of Resource and Environmental Sciences,Wuhan University,Wuhan 430000,China;Natural Resources Ecological Rehabilitation of Guangxi Zhuang Autonomous Region,Nanning 530000,China)
机构地区:[1]武汉大学资源与环境科学学院,武汉430000 [2]广西壮族自治区自然资源生态修复中心,南宁530000
出 处:《农业工程学报》2020年第10期227-234,F0004,共9页Transactions of the Chinese Society of Agricultural Engineering
基 金:国家自然基金项目(41571385);中央高校自主科研项目(2042016kf0175)。
摘 要:为了快速准确测算耕地产能,开展耕地质量和产能评价工作,落实"三位一体"的耕地占补政策,该研究尝试将耕地初级净生产力(NPP,Net Primary Productivity)运用于耕地产能测算。在具体提取NPP指数时,使用顾及地形要素对于太阳辐射影响改进的CASA模型,并在此基础上运用地理加权回归以及空间相关性的方法比较了NPP数据与耕地利用指数数据以验证NPP数据运用于耕地产能计算的可行性。研究结果表明:基于NPP获得的耕地产能数据总体呈现中部东南-西北轴线方向以及南部平原NPP指数较高东北、西南两侧较低的布局,而通过与耕地利用指数的地理加权回归发现两者有较强相关性。NPP指数可以直接用于耕地产能评价,能够提高工作效率和准确性。This study aims to estimate the productivity of arable land in a quick,accurate and cost-saving way,for the quality/productivity evaluation of arable land,and the implementation of the“trinity”policy,i.e.,requisition-compensation balance of cultivated land.An attempt was made to calculate the productivity of cultivated land by using the net primary productivity(NPP)index,in order to increase the accuracy of the evaluation system,while saving time and cost.Taking the county level as the research scale,and Binyang County as the research area,the obvious terrain difference can indicate the variation of solar radiation subjected to topographic factors,and fill the research lack of NPP database at the county level.A CASA(Carnegie-Ames-Stanford Approach)model was used to calculate the remote sensing and meteorological data when extracting NPP index.The influence of topographic factors(terrain)on solar radiation was also considered in a modified CASA model.A geographic weighted regression approach was selected to compare the obtained NPP data with the utilization index of cultivated land,in order to verify the application of NPP data for the production of cultivated land.A comparison analysis of local correlation coefficient was made to determine the region with a large difference between the terrain and solar radiation,further to find the main advantages of the modified CASA model.The results showed that in the productivity distribution of cultivated land,the high NPP index was generally in the direction of southeast-northwest axis in the central region,and on the southern plain,whereas the low NPP index was on both sides of northeast and southwest in the research area.There was little change in the topographically modified NPP index,but the concentration of distribution increased,while the productivity has been extended to dry land and paddy fields.The geographic weighted regression between the indexes of cultivated land use and NPP showed that there was a strong correlation in the same geographical location,and t
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