利用BEPS模型估算城区植被净初级生产力的时空变化  

Spatio- temporal variation of net primary productivity estimated with BEPS model in the urban area

作　　者：王修信[1,2] 孙涛[3] 朱启疆[2] 刘馨[2] 陈声海[2] 

机构地区：[1]广西师范大学计算机科学与信息工程学院,桂林541004 [2]北京师范大学遥感科学国家重点实验室,北京100875 [3]广西师范大学生命科学学院,桂林541004

出　　处：《干旱区资源与环境》2014年第11期1-5,共5页Journal of Arid Land Resources and Environment

基　　金：国家自然科学基金项目(41061040);北京市自然科学基金重点项目(4051003)资助

摘　　要：为了定量评估北京奥运绿化工程改善生态环境的效果,在北京城区各主要公园绿地林木普查和叶面积指数观测及气象观测数据的基础上,修正模型参数建立适用的BEPS模型,利用年降水量相差不大的2004和2009年TM遥感数据估算北京城区植被NPP空间分布。结果表明,北京奥运绿化工程取得了显著效果,2004年与2009年相比,北京城区植被年NPP总量由2.71×10^11g C·a^-1增长到3.05×10^11g C·a^-1,年NPP均值由83.18g C·m^-2a^-1上升到93.39g C·m^-2a^-1;年NPP在0-100g C·m^-2a^-1范围的面积比例由53.61%下降到42.72%,而在100-200g C·m^-2a^-1范围的面积比例由20.98%上升到33.49%。城区各大公园林地的年NPP数值较高,植树造林是补偿因城市扩展导致NPP损失的最重要途径。In order to evaluate the effects of the afforestation project for Beijing Olympic Games to improve ecological environment,the applicable BEPS model was got with correction parameters based on forest census,leaf area index measurements and weather observations in the main urban green spaces of Beijing. As there was little difference in annual precipitation between 2004 and 2009,spatial distributions of net primary productivity（ NPP） in the urban area of Beijing were calculated with TM remote sensing data in the two years. Results show that the afforestation project for Beijing Olympic Games has achieved remarkable success. From 2004 to 2009,the total annual NPP in the urban area of Beijing increases from 2. 71 × 1011to 3. 05 × 10^11gC·a^-1and the average annual NPP from 83. 18 to 93. 39gC·m^-2a^-1. Furthermore,the area proportion of annual NPP ranging from0 to 100gC·m^-2a^-1decreases from 53. 61% to 42. 72%. On the contrary,the area proportion of annual NPP with the range from 100 to 200gC·m^-2a^-1increases from 20. 98% to 33. 49%. As the forests in the urban parks have the higher values of annual NPP,tree planting is the most important method to compensate the NPP loss resulting from urban sprawl.

关 键 词：城区植被 净初级生产力 BEPS模型 时空变化 

分 类 号：S718.5[农业科学—林学]