The dynamics of sand-stabilization services in Inner Mongolia, China from 1981 to 2010 and its relationship with climate change and human activities

Li, Dajing; Xu, Duanyang; Wang, Ziyu; You, Xiaogang; Zhang, Xiaoyu; Song, Alin

doi:10.1016/j.ecolind.2018.01.018

Cited by 57 publications

(17 citation statements)

References 51 publications

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“…Vegetation can reduce near‐surface wind speed, intercept moving sand particles, and protect and fix the topsoil. Furthermore, an increase in FVC effectively helps to slow down soil nutrient loss, reduces dust entrainment, and inhibits soil wind erosion (D. Li et al, 2018; Yan et al, 2013). The results showed that FVC was significantly and negatively correlated with soil wind erosion across 47.2% of Southern Africa (Figure 7b).…”

Section: Discussionmentioning

confidence: 99%

Impacts of climate change on wind erosion in Southern Africa between 1991 and 2015

et al. 2021

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Wind erosion is the main form of soil erosion in arid and semiarid areas. It leads to soil loss and land degradation, which aggravates ecosystem vulnerability and threatens regional sustainable development. Exploring wind erosion and associating driving factors can provide useful information to reduce soil wind erosion and solve corresponding environmental problems. Southern Africa is characterized with severe soil wind erosion, which has brought a series of socioeconomic issues, such as food crises and poverty. This study used meteorological and remote sensing data, and the revised wind erosion equation (RWEQ) model to explore the spatio-temporal dynamics of soil erosion in Southern Africa from 1991 to 2015. The impact of climate change on soil wind erosion was also analyzed. The results showed that wind erosion fluctuated during the study period, which first showed a downward trend and then stabilized at a relatively low level after 2010. Soil wind erosion across 66.65% of the study area significantly decreased (p < .05) and near-surface wind speed was the most important influencing factor. The decrease of wind speed can significantly reduce the soil wind erosion across 39.89% of the study area. Temperature and precipitation were significantly related to soil wind erosion over 18.96% and 24.63% of the study area, respectively. Both can indirectly affect soil wind erosion through their impacts on vegetation cover. This study will help decision-makers to identify highrisk areas for soil erosion in Southern Africa and to take countermeasures effectively.

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Section: Discussionmentioning

confidence: 99%

Impacts of climate change on wind erosion in Southern Africa between 1991 and 2015

et al. 2021

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“…Previously, researchers have reported significant negative correlations between vegetation coverage and wind erosion [22], effects of temperature change on wind erosion in Inner Mongolia [23], and the ability of wind speed and precipitation to affect wind erosion [14]. In addition, studies have also shown that the trend of wind erosion and its dominant factors varied greatly due to regional heterogeneity [23,24]. For example, Meng et al [20] found that the most important natural factors that can influence aeolian sand transportation in Inner Mongolia were wind speed, vegetation coverage, and soil moisture.…”

Section: Introductionmentioning

confidence: 99%

“…The role of different natural conditions in wind erosion changes needs to be further explored [9,20,21]. Previously, researchers have reported significant negative correlations between vegetation coverage and wind erosion [22], effects of temperature change on wind erosion in Inner Mongolia [23], and the ability of wind speed and precipitation to affect wind erosion [14]. In addition, studies have also shown that the trend of wind erosion and its dominant factors varied greatly due to regional heterogeneity [23,24].…”

Section: Introductionmentioning

confidence: 99%

Wind Erosion Changes in a Semi-Arid Sandy Area, Inner Mongolia, China

et al. 2019

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Wind erosion is one of the major environmental problems in drylands. Identifying the dominant natural factors of wind erosion and using targeted treatment measures are the key steps in wind erosion control. Using Horqin Left Back Banner in China as a case study, we applied the revised wind erosion equation to simulate the spatial distribution of wind erosion in the semi-arid sandy area. Contribution assessment and constraint line analysis were used to investigate the contributions of driving forces to wind erosion changes. The results showed that the wind erosion in the whole area was reduced by 0.35 t/hm2·a from 2005 to 2016. The wind factor and vegetation coverage factor had dominant contributions to the wind erosion modulus and accounted for the erosion in 49.87% and 50.13% of the total area, respectively. In addition, the average wind speed exceeding the threshold and the number of occurrences exhibited significant correlations with the wind erosion severity. Meanwhile, the mitigation effects of vegetation coverage on wind erosion decreased with the increase in wind speed. The temporal mismatch between the wind speed and vegetation coverage was the main reason for the frequent severe wind erosion in spring. Reducing the spring wind speed through adding windbreaks would be an effective method for decreasing wind erosion in semi-arid areas.

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“…The traditional quantitative evaluation method refers to the development of statistical relationships between driving factors and grassland degradation, such as partial derivatives analysis (Zhang et al, 2016), multiple variable analysis (Li et al, 2018) and principal component analysis (Ma et al, 2007). Nevertheless, these methods are mainly dependent on statistical analysis, ignoring the ecological process of grassland degradation and its driving factors, which can easily lead to greater uncertainty in the results (Becerril-Pina et al, 2015).…”

Section: Introductionmentioning

confidence: 99%

Response of grassland productivity to climate change and anthropogenic activities in arid regions of Central Asia

Zhang

et al. 2020

PeerJ

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Background Quantitative evaluations of the relative impacts of climate change and anthropogenic activity on grasslands are significant for understanding grassland degradation mechanisms and controlling degraded grasslands. However, our knowledge about the effects of anthropogenic activities and climate change on the grassland in a mountain basin system in arid regions of Central Asia is still subject to great uncertainties. Methods In this research, we have chosen the net primary productivity (NPP) as an index for revealing grassland dynamics processes. Moreover, the human appropriation of net primary production (NPPH), which was calculated as the potential NPP (NPPP) minus the actual NPP (NPPA), was applied to distinguish the relative influences of climate change and human activities on the grassland NPP variations in a mountain basin system of Central Asia from 2001–2015. Results The results indicated that the grassland NPPA showed an increasing trend (35.88%) that was smaller than the decreasing trend (64.12%). The respective contributions of human activity, climate change and the two together to the increase in the NPPA were 6.19%, 81.30% and 12.51%, respectively. Human activity was largely responsible for the decrease in the grassland NPPA, with the area experiencing human-induced decreases accounting for 98.21% of the total decreased area, which mainly occurred during spring/autumn pasture and winter pasture. Furthermore, the average grazing pressure index (GPI) values of summer pastures, spring/autumn pasture and winter pastures were 1.04, 3.03 and 1.83, respectively, from 2001–2015. In addition, negative correlations between the NPP and GPI occupied most of the research area (92.41%). Discussion Our results indicate that: (i) anthropogenic activities were the primary cause of the reduction in the grassland NPP, especially grazing activities. (ii) For areas where the grassland NPP has increased, precipitation was the dominant climatic factor over temperature in controlling the grassland NPP changes in the study area. (iii) The findings of the current research indicate that some measures should be taken to reduce livestock pressure, and artificial grasslands can be built along the Irtysh River and the Ulungur River to relieve grazing pressure on spring/autumn pastures and winter pastures. Our results could provide reliable information for grassland management and the prevention of grassland degradation in arid regions of Central Asia.

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The dynamics of sand-stabilization services in Inner Mongolia, China from 1981 to 2010 and its relationship with climate change and human activities

Cited by 57 publications

References 51 publications

Impacts of climate change on wind erosion in Southern Africa between 1991 and 2015

Impacts of climate change on wind erosion in Southern Africa between 1991 and 2015

Wind Erosion Changes in a Semi-Arid Sandy Area, Inner Mongolia, China

Response of grassland productivity to climate change and anthropogenic activities in arid regions of Central Asia

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