Spatio-Temporal Pattern of Land Degradation from 1990 to 2015 in Mongolia

Wang, Juanle; Wei, Haishuo; Cheng, Kai; Ochir, Altansukh; Davaasuren, Davaadorj; Li, Pengfei; Chan, Faith Ka Shun; Nasanbat, Elbegjargal

doi:10.1016/j.envdev.2020.100497

Cited by 34 publications

(26 citation statements)

References 13 publications

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“…This finding is also consistent with that of a previous study, which showed that overall trends of average annual temperature and precipitation have been increasing worldwide from 2000 to 2014 [81]. In addition, the ESA land cover map showed barren land has decreased over the study period, also supported by [82], and the vegetated area has increased. This land-use change could be a reason that annual NPP has risen slightly in the study area.…”

Section: Inter-annual Variations In Nppsupporting

confidence: 92%

Analyzing NPP Response of Different Rangeland Types to Climatic Parameters over Mongolia

et al. 2021

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Global warming threatens ecosystem functions, biodiversity, and rangeland productivity in Mongolia. The study analyzes the spatial and temporal distributions of the Net Primary Production (NPP) and its response to climatic parameters. The study also highlights how various land cover types respond to climatic fluctuations from 2003 to 2018. The Boreal Ecosystem Productivity Simulator (BEPS) model was used to simulate the rangeland NPP of the last 16 years. Satellite remote sensing data products were mainly used as input for the model, where ground-based and MODIS NPP were used to validate the model result. The results indicated that the BEPS model was moderately effective (R2 = 0.59, the Root Mean Square Error (RMSE) = 13.22 g C m−2) to estimate NPP for Mongolian rangelands (e.g., grassland and sparse vegetation). The validation results also showed good agreement between the BEPS and MODIS estimates for all vegetation types, including forest, shrubland, and wetland (R2 = 0.65). The annual total NPP of Mongolia showed a slight increment with an annual increase of 0.0007 Pg (0.68 g C per meter square) from 2003 to 2018 (p = 0.82) due to the changes in climatic parameters and land cover change. Likewise, high increments per unit area found in forest NPP, while decreased NPP trend was observed in the shrubland. In conclusion, among the three climatic parameters, temperature was the factor with the largest influence on NPP variations (r = 0.917) followed precipitation (r = 0.825), and net radiation (r = 0.787). Forest and wetland NPP had a low response to precipitation, while inter-annual NPP variation shows grassland, shrubland, and sparse vegetation were highly sensitive rangeland types to climate fluctuations.

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Section: Inter-annual Variations In Nppsupporting

confidence: 92%

Analyzing NPP Response of Different Rangeland Types to Climatic Parameters over Mongolia

et al. 2021

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“…Inner Mongolia is located in arid and semi-arid regions, which are the most severely desertified regions in China. According to statistics, land desertification in Inner Mongolia has developed rapidly since the 1990s, with > 76% of the land in Inner Mongolia suffering from desertification to varying degrees by 2017 [72,96]. To better prevent and control land desertification, scholars have proposed a series of prevention and control measures.…”

Section: Suggestions For Vegetation Restorationmentioning

confidence: 99%

Influences of Climate Change and Human Activities on NDVI Changes in China

et al. 2021

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The spatiotemporal evolution of vegetation and its influencing factors can be used to explore the relationships among vegetation, climate change, and human activities, which are of great importance for guiding scientific management of regional ecological environments. In recent years, remote sensing technology has been widely used in dynamic monitoring of vegetation. In this study, the normalized difference vegetation index (NDVI) and standardized precipitation–evapotranspiration index (SPEI) from 1998 to 2017 were used to study the spatiotemporal variation of NDVI in China. The influences of climate change and human activities on NDVI variation were investigated based on the Mann–Kendall test, correlation analysis, and other methods. The results show that the growth rate of NDVI in China was 0.003 year−1. Regions with improved and degraded vegetation accounted for 71.02% and 22.97% of the national territorial area, respectively. The SPEI decreased in 60.08% of the area and exhibited an insignificant drought trend overall. Human activities affected the vegetation cover in the directions of both destruction and restoration. As the elevation and slope increased, the correlation between NDVI and SPEI gradually increased, whereas the impact of human activities on vegetation decreased. Further studies should focus on vegetation changes in the Continental Basin, Southwest Rivers, and Liaohe River Basin.

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“…Due to tremendous economic growth and rapidly expanding urban development, as well as over cultivation and grazing behaviors, China has undergone great land degradation over the past few decades [13,14]. Since the 1970's, large-scale ecological projects have been launched in China by the central government with the aim of preventing water loss and soil erosion and ensuring sustainable development (e.g., the Three-North Forest Shelterbelts Program launched in 1979 and the Grain for Green Program implemented in 1999) [15][16][17].…”

Section: Study Areamentioning

confidence: 99%

Land Degradation and Development Processes and Their Response to Climate Change and Human Activity in China from 1982 to 2015

2021

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Land degradation and development (LDD) has become an urgent global issue. Quick and accurate monitoring of LDD dynamics is key to the sustainability of land resources. By integrating normalized difference vegetation index (NDVI) and net primary productivity (NPP) based on the Euclidean distance method, a LDD index (LDDI) was introduced to detect LDD processes, and to explore its quantitative relationship with climate change and human activity in China from 1985 to 2015. Overall, China has experienced significant land development, about 45% of China’s mainland, during the study period. Climate change (temperature and precipitation) played limited roles in the affected LDD, while human activity was the dominant driving force. Specifically, LDD caused by human activity accounted for about 58% of the total, while LDD caused by climate change only accounted for 0.34% of the total area. Results from the present study can provide insight into LDD processes and their driving factors and promote land sustainability in China and around the world.

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Spatio-Temporal Pattern of Land Degradation from 1990 to 2015 in Mongolia

Cited by 34 publications

References 13 publications

Analyzing NPP Response of Different Rangeland Types to Climatic Parameters over Mongolia

Analyzing NPP Response of Different Rangeland Types to Climatic Parameters over Mongolia

Influences of Climate Change and Human Activities on NDVI Changes in China

Land Degradation and Development Processes and Their Response to Climate Change and Human Activity in China from 1982 to 2015

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