Spatial-temporal dynamics of desert vegetation and its responses to climatic variations over the last three decades: a case study of Hexi region in Northwest China

Yang, Xuemei; Shizeng, Liu; Yang, Taibao; Xu, Xiyan; Kang, Chaogui; Tang, Jinnian; Huai-dong, Wei; Ghebrezgabher, Mihretab G.; Li, Zhiqi

doi:10.1007/s40333-016-0046-3

Cited by 39 publications

(21 citation statements)

References 17 publications

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“…Degraded grasslands may recover faster with grazing exclusion in the more humid northeast areas than in the arid and semiarid northwest areas, as precipitation amplifies the restoration process (Hao et al, ). However, the magnitude of climatic impact on grassland restoration interacts with management practices (Gao et al, ; X. Yang, Liu, et al, ). For example, the percent change in aboveground biomass had a quadratic relationship with precipitation under light grazing, but a linear relationship under heavy grazing (Yan et al, ).…”

Section: Interactions Of Grass–climate–soil–human Activitymentioning

confidence: 99%

Grazing exclusion—An effective approach for naturally restoring degraded grasslands in Northern China

et al. 2018

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Nearly 90% of the 390 million ha of grasslands in northern China are degraded. ‘Grazing exclusion’ has been implemented as a nature‐based solution to rejuvenate degraded grasslands, but the effectiveness of the rejuvenation processes is uncertain. Here, we investigated the effects of grazing exclusion on aboveground plant community traits, soil physiochemical and biological properties, and the mechanisms responsible for enhanced grassland rejuvenation. A meta‐analysis across various studies was used to assess the effectiveness. On average, grazing exclusion improved vegetation coverage by 18.5 percentage points and increased aboveground biomass by 1.13 t ha−1 and root biomass by 1.27 t ha−1, which represent an increase of 84%, 246%, and 31%, respectively, compared with continuous grazing practices. Grazing exclusion reduced soil bulk density by 13.7% and increased soil water content by 68.9%. Grasslands under grazing exclusion increased soil organic carbon (SOC) in the 0‐ to 15‐cm depth by 3.95 (±0.35 Std err) t ha−1 and total soil N, available N, and total soil P in the 0‐ to 40‐cm depth by 2.39 (±0.14), 0.83 (±0.37), and 1.96 (±0.44) t ha−1, respectively, compared with continuous grazing; these values represent an increase of 31%, 25%, 23%, and 14%, respectively. Prolonging the duration (years) of grazing practices enlarged the differences in SOC and soil N content between grazing exclusion and continuous grazing. Grazing exclusion has improved plant community traits and enhanced soil physiochemical and biological properties of degraded grasslands, and thus, this ‘nature‐based’ approach can serve as an effective means to rejuvenate degraded grasslands.

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Section: Interactions Of Grass–climate–soil–human Activitymentioning

confidence: 99%

Grazing exclusion—An effective approach for naturally restoring degraded grasslands in Northern China

et al. 2018

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“…The NDVI products were obtained from GIMSS group based on NOAA/AVHRR estimates with 8-km spatial resolution and a 15-day temporal resolution. The geometric, radiation, and atmospheric corrections were performed according to the methods of [39,40], and then for every day and every track image, bad lines and clouds were removed. Furthermore, the maximum-value composite (MVC) method was used to eliminate the influence of clouds, the atmosphere, and the solar elevation angle.…”

Section: Ndvi Datasetmentioning

confidence: 99%

Assessing Land Degradation Dynamics and Distinguishing Human-Induced Changes from Climate Factors in the Three-North Shelter Forest Region of China

Huang

Jiming

2016

IJGI

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Land degradation is a major threat to the sustainability of human habitation, and it is essential to assess it quantitatively. Assessment of the human-induced aspect is especially important for planning appropriate prevention measures. This paper used the Three-North Shelter Forest Program region as the study area, and assessed the land degradation dynamic using a time series of summed normalized difference vegetation index (NDVI) based on a trend analysis of the Theil-Sen slope and Mann-Kendall test. The human-induced land degradation was separated from degradation driven by climate using the meteorological dataset through the residual trend (RESTREND) method for the period 1982-2006. The results showed that (1) the NDVI in the study area mainly exhibited an increasing trend, approximately 13.00% of the study area experienced significantly positive NDVI trends and 6.20% showed decline. Furthermore, (2) the correlation between the summed NDVI and precipitation was higher than the correlation between NDVI and temperature, suggesting that precipitation was the most essential factor that impacted NDVI dynamic in the study area; (3) The significant trends of vegetation by anthropogenic disturbances were detected, which were significant positive and negative trends of 11.93% and 6.19%, respectively. All of these findings enrich our knowledge of human activities that impact land degradation in arid or semi-arid regions and provide a scientific basis for the management of ecological restoration programs.

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“…Thus, there are often some differences among different research results. On the basis of NDVI data acquired by Advanced Very High Resolution Radiometer (AVHRR) [38], Systeme Probatoire d'Observation de la Terre (SPOT) [39] and Moderate-resolution Imaging Spectroradiometer (MODIS) [40], other existing studies mainly analyzes changes in NDVI [41] and net primary productivity (NPP) [42] and their response to climatic change. These studies usually detect vegetation variation in Shule River Basin at macro scale; however, micro-scale study on Shule River Basin is scarce.…”

Section: Overview Of the Study Regionmentioning

confidence: 99%

Responses of Vegetation Growth to Climatic Factors in Shule River Basin in Northwest China: A Panel Analysis

Niu

Zhao

et al. 2017

Sustainability

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Abstract:The vegetation response to climatic factors is a hot topic in global change research. However, research on vegetation in Shule River Basin, which is a typical arid region in northwest China, is still limited, especially at micro scale. On the basis of Moderate-resolution Imaging Spectroradiometer (MODIS) Normalized Difference Vegetation Index (NDVI) data and daily meteorological data, employing panel data models and other mathematical models, the aim of this paper is to reveal the interactive relationship between vegetation variation and climatic factors in Shule River Basin. Results show that there is a widespread greening trend in the whole basin during 2000-2015, and 80.28% of greening areas (areas with vegetation improvement) are distributed over upstream region, but the maximum vegetation variation appears in downstream area. The effects of climate change on NDVI lag about half to one month. The parameters estimated using panel data models indicate that precipitation and accumulated temperature have positive contribution to NDVI. With every 1-mm increase in rainfall, NDVI increases by around 0.223‰ in upstream area and 0.6‰ in downstream area. With every 1-• C increase in accumulated temperature, NDVI increases by around 0.241‰ in upstream area and 0.174‰ in downstream area. Responses of NDVI to climatic factors are more sensitive when these factors are limiting than when they are not limiting. NDVI variation has performance in two seasonal and inter-annual directions, and the range of seasonal change is far more than that of inter-annual change. The inverted U-shaped curve of the variable intercepts reflects the seasonal change. Our results might provide some scientific basis for the comprehensive basin management.

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Spatial-temporal dynamics of desert vegetation and its responses to climatic variations over the last three decades: a case study of Hexi region in Northwest China

Cited by 39 publications

References 17 publications

Grazing exclusion—An effective approach for naturally restoring degraded grasslands in Northern China

Grazing exclusion—An effective approach for naturally restoring degraded grasslands in Northern China

Assessing Land Degradation Dynamics and Distinguishing Human-Induced Changes from Climate Factors in the Three-North Shelter Forest Region of China

Responses of Vegetation Growth to Climatic Factors in Shule River Basin in Northwest China: A Panel Analysis

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