Response of vegetation ecosystem to climate change based on remote sensing and information entropy: a case study in the arid inland river basin of China

Xu, Wei; Liu, Hui; Zhang, Qixing; Liu, Pai

doi:10.1007/s12665-021-09416-w

Cited by 13 publications

(6 citation statements)

References 52 publications

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“…The ecological environment is relatively fragile in ARNC, which is why vegetation degradation was identified in some areas. Vegetation degradation may be caused by the variation of climate extremes, which may lead to vegetation degradation in the desert area [84]. In the meantime, except for the climate reason, the increase of vegetation may also credit some major projects such as the Grain for Green Project and the Natural Forest Protection Project [85], which improves the regional ecological environment and increases the vegetation cover.…”

Section: Discussionmentioning

confidence: 99%

Vegetation Change and Its Response to Climate Extremes in the Arid Region of Northwest China

2021

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Changes in climate extremes have a profound impact on vegetation growth. In this study, we employed the Moderate Resolution Imaging Spectroradiometer (MODIS) and a recently published climate extremes dataset (HadEX3) to study the temporal and spatial evolution of vegetation cover, and its responses to climate extremes in the arid region of northwest China (ARNC). Mann-Kendall test, Anomaly analysis, Pearson correlation analysis, Time lag cross-correlation method, and Least absolute shrinkage and selection operator logistic regression (Lasso) were conducted to quantitatively analyze the response characteristics between Normalized Difference Vegetation Index (NDVI) and climate extremes from 2000 to 2018. The results showed that: (1) The vegetation in the ARNC had a fluctuating upward trend, with vegetation significantly increasing in Xinjiang Tianshan, Altai Mountain, and Tarim Basin, and decreasing in the central inland desert. (2) Temperature extremes showed an increasing trend, with extremely high-temperature events increasing and extremely low-temperature events decreasing. Precipitation extremes events also exhibited a slightly increasing trend. (3) NDVI was overall positively correlated with the climate extremes indices (CEIs), although both positive and negative correlations spatially coexisted. (4) The responses of NDVI and climate extremes showed time lag effects and spatial differences in the growing period. (5) Precipitation extremes were closely related to NDVI than temperature extremes according to Lasso modeling results. This study provides a reference for understanding vegetation variations and their response to climate extremes in arid regions.

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Section: Discussionmentioning

confidence: 99%

Vegetation Change and Its Response to Climate Extremes in the Arid Region of Northwest China

2021

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“…Vegetation dynamics and their correlations with climate change constitute an essential dimension of global change research. Previous studies have shown that climatic factors such as rainfall, air temperature, and solar radiation are the main factors affecting vegetation greenness and production in arid and semiarid regions [7,43]. Meanwhile, the impact of changes in human activities on vegetation dynamics is well recognized in extensive research [44,45].…”

Section: Vegetation Change Causesmentioning

confidence: 99%

“…Hence, vegetation has been regarded as an irreplaceable part of maintaining the stability of regional and global ecosystems [4]. Meanwhile, over the past few decades, vegetation has shown widespread and tremendous variations under climate change and intensified anthropogenic intervention [5][6][7].…”

Section: Introductionmentioning

confidence: 99%

Greater Greening Trend in the Loess Plateau of China Inferred from Long-Term Remote Sensing Data: Patterns, Causes and Implications

Guo

et al. 2022

Forests

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The Loess Plateau (LP) of China, which is the pilot region of the “Grain to Green Project” (GGP), has received worldwide attention due to its significant changes in the natural and social environment. Investigation of vegetation variations in response to climate change and human activities is vital for providing support for further ecological restoration planning. This paper aimed to monitor vegetation dynamics of the LP with trend comparisons of various vegetation types, disentangle the effects of climate variations and ecological programs on vegetation variations, and detect the consistency of vegetation variations. More specifically, vegetation dynamics during 1982–2015 were analyzed using the Global Inventory Modelling and Mapping System third-generation Normalized Difference Vegetation Index (GIMMS NDVI3g) data with the application of Breaks for Additive Season and Trend (BFAST) and Hurst Exponent. The results showed that: (1) Vegetation manifested a significant greening trend (0.013 decade−1 p < 0.01) in the LP during 1982–2015, and a breakpoint (BP) was detected in 1999, which was the beginning of the GGP. Interannual NDVI after the BP (ABP) showed more than 3.5 times greening rates compared to the NDVI before the BP (BBP). (2) Human activities dominated the vegetation variation (accounted for 59.46% of vegetation variation), among which reforestation and land-use change with steep slopes (i.e., ≥15°) lead to the greening after the GGP implementation. (3) Future trends should be noticed in the Forest Zone and Forest-Grass Zone, where the greening trends tend to slow down or even reverse in the southern LP. The long-term GIMMS NDVI3g time series and multiple geospatial analyses of this study might facilitate a better understanding of the mechanisms of vegetation variations for the assessment of the large restoration programs in fragile ecosystems.

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“…Grassland was the primary natural vegetation type in ENW. The increase in temperature promoted the growth of vegetation and resulted in a water deficit in vegetation to a certain extent, thereby generating an insignificant correlation between regional temperature and the NDVI [39].…”

Section: Climate Change and Its Relationship With The Ndvimentioning

confidence: 99%

Response of NDVI of Natural Vegetation to Climate Changes and Drought in China

Wang

Cao

et al. 2021

Land

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Temporal and spatial changes in vegetation and their influencing factors are of great significance for the assessment of climate change and sustainable development of ecosystems. This study applied the Asymmetric Gaussians (AG) fitting method, Mann-Kendall test, and correlation analysis to the Global Inventory Monitoring and Modeling System (GIMMS) third-generation Normalized Difference Vegetation Index and gridded climate and drought data for 1982–2015. The temporal and spatial changes to NDVI for natural grassland and forest during the growing season were analyzed. Relationships among NDVI, climate change, and droughts were also analyzed to reveal the influence of vegetation change. The results showed that: (1) Land use/cover change (LUCC) in China was mainly represented by increases in agricultural land (Agrl) and urban and rural land (Uril), and decreases in unutilized land (Bald), grassland, forest, and permanent glacier and snow (Snga). The increase in agricultural land was mainly distributed in the western northwest arid area (WNW) and northern North China (NNC), whereas regions with severe human activities such as southern South China (SNC), western South China (WSC), and eastern South China (ESC) showed significant decreases in agricultural land due to conversion to urban and rural land. (2) The start of the growing season (SOS) was advanced in WNW, SNC, WSC, and ESC, and the end of growing season (EOS) was delayed in WNW, NNC, and SNC. The growing season length (GSL) of natural vegetation in China has been extended by eight days over the last 34 years. However, the phenology of the Qinghai-Tibet Plateau (TP) was opposite to that of the other regions and the GSL showed an insignificant decreasing trend. (3) The NDVI increased significantly, particularly in the SNC, WSC, ESC, and the grassland of the WNW. Precipitation was found to mainly control the growth of vegetation in the arid and semi-arid regions of northwest China (WNW and ENW), and precipitation had a much greater impact on grassland than on forests. Temperature had an impact on the growth of vegetation throughout China, particularly in SNC, ESC, and WSC. (4) The Standardized Precipitation Evapotranspiration Index (SPEI) showed a downward trend, indicating an aridification trend in China, particularly in ENW, NNC, and WNW. Similar to precipitation, the main areas affected by drought were WNW and ENW and grassland was found to be more sensitive to drought than forest. The results of this study are of great significance for predicting the response of ecosystem productivity to climate change under future climate change scenarios.

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Response of vegetation ecosystem to climate change based on remote sensing and information entropy: a case study in the arid inland river basin of China

Cited by 13 publications

References 52 publications

Vegetation Change and Its Response to Climate Extremes in the Arid Region of Northwest China

Vegetation Change and Its Response to Climate Extremes in the Arid Region of Northwest China

Greater Greening Trend in the Loess Plateau of China Inferred from Long-Term Remote Sensing Data: Patterns, Causes and Implications

Response of NDVI of Natural Vegetation to Climate Changes and Drought in China

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