Spatial heterogeneity of vegetation coverage and its temporal dynamics in desert steppe, Inner Mongolia

2012 ◽  
Vol 32 (13) ◽  
pp. 4017-4024 ◽  
Author(s):  
颜亮 YAN Liang ◽  
周广胜 ZHOU Guangsheng ◽  
张峰 ZHANG Feng ◽  
隋兴华 SUI Xinghua ◽  
平晓燕 PING Xiaoyan
2013 ◽  
Vol 23 (2) ◽  
pp. 231-246 ◽  
Author(s):  
Shaojie Mu ◽  
Hongfei Yang ◽  
Jianlong Li ◽  
Yizhao Chen ◽  
Chengcheng Gang ◽  
...  

2013 ◽  
Vol 5 (3) ◽  
pp. 339
Author(s):  
Gao Tian ◽  
Xu Bin ◽  
Yang Xiu-Chun ◽  
Jin Yun-Xiang ◽  
Ma Hai-Long ◽  
...  

2013 ◽  
Vol 36 (10) ◽  
pp. 1043-1053 ◽  
Author(s):  
Tao LIU ◽  
Yong-Xian ZHANG ◽  
Zhen-Zhu XU ◽  
Guang-Sheng ZHOU ◽  
Yan-Hui HOU ◽  
...  

2012 ◽  
Vol 34 (1) ◽  
pp. 103 ◽  
Author(s):  
Z. M. Hu ◽  
S. G. Li ◽  
J. W. Dong ◽  
J. W. Fan

The spatial annual patterns of aboveground net primary productivity (ANPP) and precipitation-use efficiency (PUE) of the rangelands of the Inner Mongolia Autonomous Region of China, a region in which several projects for ecosystem restoration had been implemented, are described for the years 1998–2007. Remotely sensed normalised difference vegetation index and ANPP data, measured in situ, were integrated to allow the prediction of ANPP and PUE in each 1 km2 of the 12 prefectures of Inner Mongolia. Furthermore, the temporal dynamics of PUE and ANPP residuals, as indicators of ecosystem deterioration and recovery, were investigated for the region and each prefecture. In general, both ANPP and PUE were positively correlated with mean annual precipitation, i.e. ANPP and PUE were higher in wet regions than in arid regions. Both PUE and ANPP residuals indicated that the state of the rangelands of the region were generally improving during the period of 2000–05, but declined by 2007 to that found in 1999. Among the four main grassland-dominated prefectures, the recovery in the state of the grasslands in the Erdos and Chifeng prefectures was highest, and Xilin Gol and Chifeng prefectures was 2 years earlier than Erdos and Hunlu Buir prefectures. The study demonstrated that the use of PUE or ANPP residuals has some limitations and it is proposed that both indices should be used together with relatively long-term datasets in order to maximise the reliability of the assessments.


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