| 基于光能利用率模型的内蒙古天然草原植被净初级生产力动态监测与气候因子的响应 |
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| 引用本文： | 乌尼图,刘桂香,杨勇,宋向阳,白海花.基于光能利用率模型的内蒙古天然草原植被净初级生产力动态监测与气候因子的响应[J].草业学报,2020,29(11):1-10. |
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| 作者姓名： | 乌尼图 刘桂香 杨勇 宋向阳 白海花 |
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| 作者单位： | 1.中国农业科学院草原研究所,内蒙古 呼和浩特010010;2.中国农业科学院研究生院,北京100081;3.内蒙古自治区草原勘察规划院,内蒙古 呼和浩特010051 |
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| 摘 要： | 利用光能利用率模型和MODIS数据对内蒙古天然草原2000-2018年植被生长期草原净初级生产力进行连续动态监测,并在像元尺度利用最小二乘法分析了近20年植被净初级生产力(NPP)时空变化规律。结果表明:近20年中,内蒙古天然草原NPP在空间上呈由西向东递增分布规律,年均NPP为198.04 g C·m-2·a-1,潜在草地退化面积16.22万km2,其中重度、较重度面积分别为0.20万和1.11万km2,主要分布于人类活动密集区域,如矿区、建设用地及周边;在草地类型上,温性草原、温性草甸草原、温性荒漠以及温性荒漠草原潜在退化面积分别为5.22万、1.40万、4.04万和2.21万km2。通过分析NPP与气候因子的相关性表明:近20年,内蒙古草原NPP与降水具有显著相关性,与温度无相关性;温性草甸草原NPP对降水的响应最敏感,温性荒漠草原其次,温性草原对降水响应最低。研究还根据上述结果,围绕草地生态保护提出了建议。
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| 关 键 词： | 光能利用率模型 MODIS 草地净初级生产力 气候因子 |
| 收稿时间： | 2019-12-10 |
| 修稿时间： | 2020-04-23 |
Dynamic monitoring of net primary productivity and its response to climate factors in native grassland in Inner Mongolia using a light-use efficiency model |
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| WU Ni-tu,LIU Gui-xiang,YANG Yong,SONG Xiang-yang,BAI Hai-hua.Dynamic monitoring of net primary productivity and its response to climate factors in native grassland in Inner Mongolia using a light-use efficiency model[J].Acta Prataculturae Sinica,2020,29(11):1-10. |
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| Authors: | WU Ni-tu LIU Gui-xiang YANG Yong SONG Xiang-yang BAI Hai-hua |
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| Institution: | 1. Grassland Research Institute, Chinese Academy of Agricultural Sciences, Hohhot 010010, China;2. Graduate School of Chinese Academy of Agricultural Sciences, Beijing 100081, China;3. Grassland Investigation and Planning Institute of Inner Mongolia, Hohhot 010051, China |
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| Abstract: | Based on a light-use efficiency model and MODIS data, the net primary productivity (NPP) of grassland during the growing seasons from 2000 to 2018 in native grassland in Inner Mongolia was continuously estimated, and the spatial-temporal change trend of NPP over the past 20 years was also analyzed using a least square method at pixel scale to determine the degree of grassland degradation. It was found that NPP increased from west to east across Inner Mongolia, with an annual average of 198.04 g C·m-2·yr-1. An area of potential grassland degradation of 162200 km2 was identified. The areas of severely and heavily degraded grassland identified were 2000 and 11100 km2, respectively. The latter were mainly distributed in areas with intensive human activities, such as mining areas, or construction land and its surrounding areas. In terms of grassland types, the potentially degraded areas of temperate steppe, temperate meadow, temperate desert and temperate desert-steppe were 52200, 14000, 40400 and 22100 km2 respectively. Through analyzing the correlation between NPP and climate factors in the last two decades, it was found that NPP is significantly correlated with precipitation, but has no correlation with temperature. The response of NPP to precipitation was the most sensitive in temperate meadow, that of temperate desert steppe was the second, and that of temperate steppe was the lowest. Based on the above results, this paper puts forward some suggestions for grassland ecological protection. |
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| Keywords: | light-use efficiency model MODIS net primary productivity of grassland climate factors |
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