Quantifying grazing intensities using geographic information systems and satellite remote sensing in the Xilingol steppe region, Inner Mongolia, China
Quantifying grazing intensities using geographic information systems and satellite remote sensing in the Xilingol steppe region, Inner Mongolia, China
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DOI：
10.1016/j.agee.2004.09.008
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发表时间：
2005-05-02
影响因子：
6.6
通讯作者：
Wang, SP
中科院分区：
文献类型：
--
作者：
Kawamura, K;Akiyama, T;Wang, SP
卫星遥感可用于评估放牧强度和提供草原管理信息。利用地球观测系统terra卫星上的中分辨率成像分光辐射计获得的归一化植被指数，开发了一种量化放牧强度影响的方法。使用了全球定位系统和地理信息系统的组合。锡林郭勒草原区位于内蒙古锡林郭勒盟锡林郭勒滨江的半干旱区，以典型草原和沼泽化草甸植被为主。它占地面积约20公里（2），由绵羊和山羊放牧。植被生物量（g DM m（-2））与MODIS/NDVI呈显著正相关（R-2 = 0.447，P < 0.01）。为了量化放牧压力，利用GPS记录的跟踪数据，使用网格单元法创建了三个羊群的GI图。GI值与估算的生物量呈弱负相关（R-2 = 0.217，P < 0.01）。表明植物生物量随着GI的增加而减少。当植物生物量数据被分为沼泽化草甸和典型草原两种植被类型时，其相关性较强（R-2 = 0.887，P < 0.001）。这表明，水环境的影响既受到敏感性的光谱反射率的MODIS传感器和植物生产力在不同的植被区。结果表明，GPS/GIS是定量分析内蒙古草原放牧分布的有效工具。还有人建议，可以考虑将卫星图像与全球定位系统/地理信息系统结合起来，用于估计地理信息系统对植物生物量的影响。它可能为牧场管理者提供有关可持续利用草地的有用信息。(c)2004 Elsevier B. V.保留所有权利。
Satellite remote sensing can be used to assess grazing intensities and provide information on grassland management. A methodology was developed for quantifying the effects of grazing intensities (GI) using the normalized difference vegetation index (NDVI) obtained by the moderate resolution imaging spectroradiometer (MODIS) on-board the earth observing system (EOS) terra satellite. A combination of GPS (global positioning system) and GIS (geographic information system) was used. The study area in the Xilingol steppe lies in a semi-arid region and is dominated by typical steppe and the marshy meadow vegetation on the Xilin riverside area in Inner Mongolia. It covers a total area of approximately 20 km(2), and is grazed by sheep and goats. The relationship between MODIS/NDVI and observed plant biomass (g DM m(-2)) showed a significantly positive correlation (R-2 = 0.447, P < 0.01). To quantify grazing pressure, a GI map of three herds of sheep was created using a grid cell method with the tracking data recorded by the GPS. The relationship between GI and estimated plant biomass revealed a poor negative correlation (R-2 = 0.217, P < 0.01). It indicated that plant biomass reduced with increasing GI. When the plant biomass data was separated into two different vegetation types, marshy meadow and typical steppe, a stronger negative correlation was obtained (R-2 = 0.887, P < 0.001). This suggested that the water environment was affected by both the sensitivity of the spectral reflectance of the MODIS sensor and by plant productivity in different vegetation areas. From these results, GPS/GIS was revealed as being a useful tool for quantifying grazing distribution in Inner Mongolia grasslands. It was further suggested that the combined use of satellite images with GPS/GIS could be considered for estimating the effects of GI on plant biomass. It might provide useful information about the sustainable use of grasslands for range managers. (c) 2004 Elsevier B.V. All rights reserved.