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作 者:潘磊[1] 肖文发[2] 唐万鹏[1] 雷静品[2] 史玉虎[1] 黄志霖[2] 曾立雄[2] 庞宏东[1]
机构地区:[1]湖北省林业科学研究院,武汉430079 [2]中国林业科学研究院,北京100091
出 处:《生态学报》2014年第11期3064-3070,共7页Acta Ecologica Sinica
基 金:国家科技支撑课题(2011BAD38B04)
摘 要:收集三峡库区森林资源二类调查资料及气候数据,在建立森林植被地理信息系统基础上,开展了三峡库区森林气候生产力的模拟,分析库区森林植被可能生产力,并对不同气候变化情景下的森林生产力可能变化进行了预测。结果表明:(1)各种森林类型的气候生产力与年均实际蒸散量均表现出了较强相关性,建立的4种森林植被的气候生产力模式,模型相关系数都达到极显著水平;(2)假设了5种气候变化情景分析库区森林气候生产力的可能响应,常绿阔叶林、落叶阔叶林及针阔混交林对温度或降水变化表现出正向变化,在温度增加2℃、降水增加20%的情况下,其生产力增幅分别达到24.34%、22.50%和15.98%;常绿针叶林生产力对气候变化的响应方向与此相反,在温度与降水同时增加情景下其生产力减幅达5.55%。Forest biological production plays an important role in forest ecosystems and is significantly related to the terrestrial carbon cycle and the ecological changes occurring worldwide, so it must be considered during the evaluation of ecosystem functions. The Three Gorges Reservoir Area continues to be a hotspot for research because of its complex topography, rich species diversity and wide variety community types. The construction of the reservoir threatens the eco-stability of the surrounding and downstream areas. Estimating and simulating forest climatic productivity has become necessary and will also provide evidence of vegetation restoration and land use in the Three Gorges Reservoir Area and even in the entire Yangtze River Basin. We developed a method designed to link together data from forest inventories and ecological research sites, including data from 104 permanent sample plots and 118 temporary sample plots, and combined that plot data with meteorological, topographical, leaf area index, live-biomass and net primary productivity (NPP) data collected from across the Three Gorges Reservoir Area using a GIS system. Using this large database and statistical models, the actual and potential productivities of different forest types were estimated and the annual mean temperature/precipitation, latitude, longitude and altitude were documented. Then the distribution patterns of biological production of major forest types in Three Gorges Reservoir Area were analyzed. To acquire actual measurement data of mature forest productivity is critical to predicting and simulating forest climatic productivity. Data based on natural or near natural conditions were selected from a database of forest production and used to estimate the productivity of major forest types. The criteria for selecting these data included: (1) Forest age: mature or near mature forests were selected for this part of the analysis. Based on the age group division standards of the State Forestry Administration, forests more than 60 years o
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