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中国潜在植被NPP的空间分布模拟

潘竟虎*,徐柏翠   

  1. (西北师范大学地理与环境科学学院, 兰州 730070)
  • 出版日期:2020-03-10 发布日期:2020-03-10

Modeling spatial distribution of potential vegetation NPP in China.

PAN Jing-hu*, XU Bai-cui   

  1. (College of Geography and Environmental Science, Northwest Normal University, Lanzhou 730070, China).
  • Online:2020-03-10 Published:2020-03-10

摘要: 在对1980年以来气候要素进行空间化的基础上,利用分类回归树模型CART计算中国的潜在归一化植被指数(NDVI),采用改进的光能利用率模型(CASA)和潜在NDVI数据对中国的潜在植被净初级生产力(NPP)进行模拟。结果表明:中国潜在NDVI和潜在NPP均呈现出南高北低、东高西低的格局,低值多分布在沙漠、戈壁等干旱地带,高值多出现在低、中山平原区;400 mm等降水量线是潜在NDVI和潜在NPP高值与低值的分界线;全国潜在NDVI和潜在NPP的平均值分别为0.396和319.31 g C·m-2;夏季潜在NPP的平均值最大,其次是春季,冬季最小;依据潜在NPP与2015年现实NPP的差异,可将中国植被恢复区划分为西部高潜力区、北部低潜力区和南部非潜力区3部分;潜在NDVI和潜在NPP的空间模拟可以将人类活动对自然生态系统的直接影响与气候变化的影响分离,量化了外界压力下真实的生态状况和潜在生态状况的差异,为制定差别化的生态恢复对策提供了科学依据。

关键词: 功能性状, 养分限制, 适应性, 氮磷添加

Abstract: Potential NPP refers to the NPP that is generated in the natural state when the impacts of human beings on the ecological environment are excluded. The study of spatial pattern of potential vegetation productivity has become basic work toward the ecological environment rehabilitation and reconstruction in China. Data from 592 meteorological stations were used to build climate models, while regression trees were applied to estimate potential NDVI based on climate variables and training data of actual NDVI. Then, potential NPP of China was simulated using CASA model and potential NDVI data. The results showed that China’s potential NDVI and potential NPP show a pattern of high in the south and low in the north and high in the east and low in the west. The lower potential NPP occurred at desert, Gobi and other arid areas, and the higher potential NPP are mostly distributed in low and middle plain. In particular, the spatial pattern can be divided into relatively higher and lower parts in 400 mm equivalent precipitation line. The average potential NDVI and potential NPP of China were 0.396 and 319.31 g C·m-2 respectively. The mean value of potential NPP in summer was the highest, followed by spring and the lowest in winter. According to the difference between potential NPP and actual NPP in 2015, the national vegetation restoration area can be divided into three parts: high potential area in the west, low potential area in the north, and non-potential area in the south. Spatial simulation of potential NDVI and potential NPP can separate the direct impact of human activities on natural ecosystems from the impact of climate change and quantify the differences between real and potential ecological conditions under external pressures, and thus could provide scientific basis for formulating differentiated ecological restoration strategies.

Key words: nitrogen and phosphorus addition, adaptation, nutrient limitation, functional trait