摘要
应用遥感-过程耦合模型(GLOPEM-CEVSA),模拟了2000—2006年江西省陆地植被净初级生产力(NPP),分析了其空间格局及其对气候因子的响应。本模型模拟数据与样点实测数据间呈显著的线性相关,复相关系数为0.85(P<0.001)。在全省主要植被类型中,常绿针叶林的NPP最高(1091.38gC·m-2·a-1),其次是常绿阔叶林(846.09gC·m-2·a-1)、灌丛(596.62gC·m-2·a-1)和草地(325.50gC·m-2·a-1)。不同气候梯度上的NPP分布状况分析表明,在降水低于1900mm的地区,随降水量增加NPP略有增加但幅度较小且波动较为剧烈;在降水量为1900～1950mm的地区,降水越多NPP也越高,且增加显著;但在降水高于1950mm地区,NPP则随着降水的增加而降低。在气温低于17℃的区域,温度越高NPP也较高,而在温度高于17℃的区域,NPP则随温度增加而降低。进一步分析低(<17.25℃)、均(17.25～18.55℃)、高(>18.55℃)3个气温区内空间上NPP与降水的关系发现,低温区和均温区主要植被以常绿针叶林为主,NPP较高,而高温区则以农田和灌丛为主,NPP较低且波动较大。
By using GLOPEM-CEVSA model, the net primary productivity （NPP） of terrestrial vegetations in Jiangxi Province in 2000-2006 was simulated, and the spatial patterns of the NPP in relation to climate factors were analyzed. The simulated NPP had a significant linear correla- tion with the surveyed NPP, and the multiple correlation coefficient was 0.85 （P 〈 0. 001 ）. Among the main vegetations in the Province, evergreen needle-leaf forest had the highest NPP （1091.38 g C ·m^-2·a^-1）, followed by evergreen broad-leaf forest （846.09 g C ·m^-2·a^-1）, shrub （596.62 g C ·m^-2·a^-1）, and grass （325.50 g C·m^-2·a^-1）. The analysis of the NPP along the climate gradient showed that in the areas with the precipitation less than 1900 mm, the NPP increased with increasing precipitation, but the increment was small and had a greater fluc- tuation. In the areas with the precipitation being 1900-1950 mm, the NPP increased significantly with increasing precipitation; while in the areas with the precipitation 〉 1950 mm, the NPP decreased with increasinz orecioitation. In the areas with the air temperature lower than 17 ~C,the NPP increased with increasing temperature; while in the areas with air temperature higher than 17 ℃, the NPP decreased with increasing temperature. The further analysis on the relation- ships between the NPP and precipitation in the areas with lower air temperature （ 〈 17.25 ℃ ）, medium air temperature （ 17.25-18.55 ℃ ）, and higher air temperature （ 〉18.55℃ ） showed that in the areas with lower and medium air temperature, the dominant vegetation was evergreen needle-leaf forest, which had higher NPP, while in the areas with higher air temperature, crop and shrub were the main vegetations, whose NPP was lower and had greater variability.
出处
《生态学杂志》
CAS
CSCD
北大核心
2013年第3期726-732,共7页
Chinese Journal of Ecology
基金
国家重点基础研究发展计划项目(2009CB421105)
中央高校基本科研业务费专项(DL11CA04)资助
关键词
植被
净初级生产力
空间格局
气候
遥感
过程模型
vegetation
net primary productivity （NPP）
spatial pattern
climate
GLOPEM- CEVSA model.
