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辽宁地区植被NPP的模拟分析
引用本文:林毅 李倩 唐亚平 马东雷 朱玲 王宏博. 辽宁地区植被NPP的模拟分析[J]. 中国农学通报, 2012, 28(34): 75-79
作者姓名:林毅 李倩 唐亚平 马东雷 朱玲 王宏博
作者单位:1. 辽宁省气象服务中心,沈阳,110016
2. 沈阳区域气候中心,沈阳,110016
3. 沈阳大气环境研究所,沈阳,110016
摘    要:为了增进对辽宁植被NPP状况的了解,并为该地区的土地适宜性评价、农业气候区划以及合理利用气候资源等提供参考,运用综合模型、水热模型计算辽宁省植被NPP,分别分析2种模型模拟的植被NPP的年际及年代际变化特征。利用站点的经纬度、DEM及其衍生数据,建立多元回归方程对辽宁省植被NPP进行插值,并分析其空间分布特点。结果表明:水热模型模拟出的辽宁NPP呈明显上升趋势,近30年来,2001-2010间NPP最大,20世纪80年代最小。综合模型模拟出的辽宁NPP均呈缓慢上升趋势,近30年来,20世纪80年代NPP最大,90年代最小;2种模型模拟出NPP分布基本相同,最大值出现在东南部,最小值出现在西北部,且呈西北向东南递增趋势。

关 键 词:多克隆抗体  多克隆抗体  
收稿时间:2012-08-13
修稿时间:2012-09-06

Calculation and Comparison of Vegetation Net Primary Productivity in Liaoning Province
Lin Yi , Li Qian , Tang Yaping , Ma Donglei , Zhu Ling , Wang Hongbo. Calculation and Comparison of Vegetation Net Primary Productivity in Liaoning Province[J]. Chinese Agricultural Science Bulletin, 2012, 28(34): 75-79
Authors:Lin Yi    Li Qian    Tang Yaping    Ma Donglei    Zhu Ling    Wang Hongbo
Affiliation:1 Liaoning Province Public Meteorological Service Center,Shenyang 110016;2 Shenyang Regional Climate Centre,Shenyang 110016;3 Institute of Atmospheric Environment,China Meteorological Administration,Shenyang 110016)
Abstract:In order to enhance the understanding to NPP distribution of Liaoning Province, and provide reference for evaluation of land suitability, agricultural climate division and rational utilization of climatic resources. Using H2O-heat-optimized NPP model and comprehensive NPP mode, NPP in Liaoning Province was calculated to find an optimal model through comparing the calculating results with the measured data and the remote sensing data. The characters of annual and decadal NPP were analyzed. Based on the multiplex regression equation, the NPP was carried out spatial interpolation with longitude, latitude, DEM and its derived data. And spatial distribution of NPP was investigated. The results showed that: the calculation of comprehensive model was 551.2254-1142.747 g/(m2?a), which was most close to the recommended values, and NPP wave like ascended with time. For the three NPP models, the maximum appeared in Dandong of the south and the minimum value appeared in Chaoyang of the north. NPPs spatial distribution of the two models both showed that the lower value appeared in northwest and the higher appeared in southeast. Comprehensive model were more feasible to calculate NPP of Liaoning Province.
Keywords:

comprehensive model

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