Analysis of the consequences of land-use changes and soil types on organic carbon storage in the Tarim River Basin from 2000 to 2020

2022 ◽  
Vol 327 ◽  
pp. 107824
Author(s):  
Wenwen Li ◽  
Shengnan Jia ◽  
Wei He ◽  
Sajjad Raza ◽  
Kazem Zamanian ◽  
...  
2021 ◽  
Vol 13 (18) ◽  
pp. 10263
Author(s):  
Yang Wang ◽  
Tingting Xia ◽  
Remina Shataer ◽  
Shuai Zhang ◽  
Zhi Li

Land-use and cover change is an important indicator for exploring global change trends, with in-depth research on land use and its driving factors being of particular significance in forging ecologically sustainable development. The present work used the Tarim River Basin as the study area, while the land-use transfer matrix, normalized difference vegetation index (NDVI), regional center-of-gravity model, and night-time-light remote-sensing mutual correction method were employed to explore temporal and spatial characteristics of land-use change and its driving factors. The results show the following. (1) From 1990 to 2018, land-use types in the study area significantly changed, with the cultivated land increasing by 73.9% and grassland area decreasing at a rate of 6.38 × 104 hm2 per year. (2) Areas with a natural vegetation NDVI above 0.2 appeared to follow a growth trend, with an area growth of 259.12 × 104 hm2 at a rate of 14.39 × 104 hm2/a. Average annual temperature and precipitation showed a fluctuating upward trend. (3) The center of gravity of land-use type area moved significantly. The center of gravity of cultivated land was moving in the same direction as the GDP and population center of gravity, migrating to the northeast. The migration distance of the center of gravity of cultivated land area was 212.59 km, the center of gravity migration rate of GDP was 14.44 km/a, and the population center of gravity was 812.21 km. (4) During the study period, the brightness of night lights in the study area was distributed in a circular shape, with more in the northwest and less in the southeast. Brightness gradually increased and showed an expansion trend, increasing from 0.3% to 6.3%. Among the influencing factors of spatial change of land-use change, natural factors such as climate change were related to the process of land-use/-cover change in the Tarim River Basin. Overall, human activities had the most obvious impact on land-use change.


2014 ◽  
Vol 34 (23) ◽  
Author(s):  
盛浩 SHENG Hao ◽  
周萍 ZHOU Ping ◽  
李洁 LI Jie ◽  
宋迪思 SONG Disi ◽  
张杨珠 ZHANG Yangzhu

2015 ◽  
Vol 146 ◽  
pp. 296-302 ◽  
Author(s):  
Martin Wiesmeier ◽  
Margit von Lützow ◽  
Peter Spörlein ◽  
Uwe Geuß ◽  
Edzard Hangen ◽  
...  

2020 ◽  
Vol 12 (18) ◽  
pp. 7759
Author(s):  
Yang Wang ◽  
Shuai Zhang ◽  
Hui Zhen ◽  
Xueer Chang ◽  
Remina Shataer ◽  
...  

This paper explores the watershed land use and ecosystem services value (ESV) space-time evolution characteristics in the Tarim River Basin in China’s arid northwest. The study applies spatial correlation analysis using Landsat TM remote sensing images for 1990, 2000, 2010, and 2018. The land use data are extracted and the ESV coefficients are adjusted accordingly. The results show as follows: (1) From 1990 to 2018, land use in the Tarim River Basin changed significantly. Construction land, cultivated land, and water exhibited an increasing trend, while grassland, forest land, and water indicated a decreasing trend. Construction land increased the most, while water decreased the most. (2) Overall, ESV in the Tarim Basin charted a downward trend, from 872.884 billion RMB in 1990 to 767.165 billion RMB in 2018. From 2015 to 2018, the Basin’s ESV suffered the largest declines, with grassland ESV accounting for over 39% of the loss and adjustment services accounting for over 62%. (3) During the study period, the spatial distribution of ESV in the study area showed spatial distribution characterized that was either high in all directions or low in the middle, with significant positive spatial autocorrelation. The spatial distribution of ESV dynamic changes showed that ESV value-added regions were distributed in the southeast portion of the study area, while the ESV loss regions were distributed in the western and northern portions of the study area.


2010 ◽  
Vol 26 (3) ◽  
pp. 347-353
Author(s):  
Jian-kang SHI ◽  
An-ming BAO ◽  
Hai-long LIU ◽  
Xian-wei FENG ◽  
Wei-sheng WANG ◽  
...  

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