This page has only limited features, please log in for full access.
Global environment changes rapidly alter regional hydrothermal conditions, which undoubtedly affects the spatiotemporal dynamics of vegetation, especially in arid and semi-arid areas. However, identifying and quantifying the dynamic evolution and driving factors of vegetation greenness under the changing environment are still a challenge. In this study, gradual trend analysis was applied to calculate the overall spatiotemporal trend of the normalized difference vegetation index (NDVI) time series of Xinjiang province in China, the abrupt change analysis was used to detect the timing of breakpoint and trend shift, and two machine learning methods (boosted regression tree and random forest) were used to quantify the key factors of vegetation change and their relative contribution rate. The results have shown that vegetation has experienced overall recovery over the past 20 years in Xinjiang, and greenness increased at a rate of 17.83 10−4 year−1. Cropland, grassland, and sparse vegetation were the main biome types where vegetation restoration is happening. Nearly 10% of the pixels (about 166000 km2) were detected to have breakpoints from 2004 to 2016 of the monthly NDVI, and most of the breakpoints were concentrated in the ecotone of various biomes. CO2 concentration was the most prevalent environmental factor to increase vegetation greenness, because continuous emission of CO2 greatly enhanced the fertilization effect, further promoted vegetation growth. Besides, cropland expansion and desertification control were the vital anthropogenic factors to vegetation turning “green” in Xinjiang, and most areas under anthropogenic were mainly in oasis areas. These findings provide new insights and measures for the regional response strategies and terrestrial ecosystem protection.
Panxing He; Zongjiu Sun; Zhiming Han; Yiqiang Dong; Huixia Liu; Xiaoyu Meng; Jun Ma. Dynamic characteristics and driving factors of vegetation greenness under changing environments in Xinjiang, China. Environmental Science and Pollution Research 2021, 28, 42516 -42532.
AMA StylePanxing He, Zongjiu Sun, Zhiming Han, Yiqiang Dong, Huixia Liu, Xiaoyu Meng, Jun Ma. Dynamic characteristics and driving factors of vegetation greenness under changing environments in Xinjiang, China. Environmental Science and Pollution Research. 2021; 28 (31):42516-42532.
Chicago/Turabian StylePanxing He; Zongjiu Sun; Zhiming Han; Yiqiang Dong; Huixia Liu; Xiaoyu Meng; Jun Ma. 2021. "Dynamic characteristics and driving factors of vegetation greenness under changing environments in Xinjiang, China." Environmental Science and Pollution Research 28, no. 31: 42516-42532.
Environmental managers and policymakers increasingly discuss trade-offs between ecosystem services (ESs). However, few studies have used nonlinear models to provide scenario-specific land-use planning. This study determined the effects of different future land use/land cover (LULC) scenarios on ESs in the Yili River Valley, China, and analyzed the trade-offs and synergistic response characteristics. We simulated land-use changes in the Yili River Valley during 2020–2030 under three different scenarios using a patch-generating land-use simulation (PLUS) model—business as usual (BAU), economic development (ED), and ecological conservation (EC). Subsequently, we evaluated the water yield (WY), carbon storage (CS), soil retention (SR), and nutrient export (NE) ESs by combining the PLUS and integrated valuation of ecosystem services and trade-offs (InVEST) models, thus exploring multiple trade-offs among these four ESs at a regional scale. For the BAU scenario, there are some synergistic effects between WY and SR in the Yili River Valley, in addition to significant trade-off effects between CS and NE. For the ED scenario, the rapid expansion of cropland and constructed land is at the expense of forested grassland, leading to a significant decline in ESs. For the EC scenario, the model predicted that the cumulative regional net future carbon storage, cumulative water retention, and cumulative soil conservation would all increase due to ecological engineering and the revegetation of riparian zones and that formerly steep agricultural land can be effective in improving ESs. Meanwhile, the trade-off effect would be significantly weakened between CS and NE. These results can inform decision makers on specific sites where ecological engineering is implemented. Our findings can enhance stakeholders’ understanding of the interactions between ESs indicators in different scenarios.
Mingjie Shi; Hongqi Wu; Xin Fan; Hongtao Jia; Tong Dong; Panxing He; Muhammad Fahad Baqa; Pingan Jiang. Trade-Offs and Synergies of Multiple Ecosystem Services for Different Land Use Scenarios in the Yili River Valley, China. Sustainability 2021, 13, 1577 .
AMA StyleMingjie Shi, Hongqi Wu, Xin Fan, Hongtao Jia, Tong Dong, Panxing He, Muhammad Fahad Baqa, Pingan Jiang. Trade-Offs and Synergies of Multiple Ecosystem Services for Different Land Use Scenarios in the Yili River Valley, China. Sustainability. 2021; 13 (3):1577.
Chicago/Turabian StyleMingjie Shi; Hongqi Wu; Xin Fan; Hongtao Jia; Tong Dong; Panxing He; Muhammad Fahad Baqa; Pingan Jiang. 2021. "Trade-Offs and Synergies of Multiple Ecosystem Services for Different Land Use Scenarios in the Yili River Valley, China." Sustainability 13, no. 3: 1577.
Knowledge of the spatiotemporal variations of terrestrial water storage (TWS) is critical for the sustainable management of water resources in China. However, this knowledge has not been quantified and compared for the different climate types and underlying surface characteristics. Here, we present observational evidence for the spatiotemporal dynamics of water storage based on the products from the Gravity Recovery and Climate Experiment (GRACE) and the Global Land Data Assimilation System (GLDAS) in China over 2003–2016. Our results were the following: (1) gravity satellite dataset showed divergent trends of TWS across distinct areas due to human factors and climate factors. The overall changing trend of water storage is that the north experiences a loss of water and the south gains in water, which aggravates the uneven spatial distribution of water resources in China. (2) In the eastern monsoon area, the depletion of water storage in North China (NC) was found to be mostly due to anthropogenic disturbance through groundwater pumping in plain areas. However, precipitation was shown to be a key driver for the increase of water storage in South China (SC). Increasing precipitation in SC was linked to atmospheric circulation enhancement and Pacific Ocean warming, meaning an unrecognized teleconnection between circulation anomalies and water storage. (3) At high altitudes in the west, the change of water storage was affected by the melting of ice and snow due to the rising temperatures, yet the topography determines the trend of water storage. We found that the mountainous terrain led to the loss of water storage in Tianshan Mountain (TSM), while the closed basin topography gathered the melted water in the interior of the Tibetan Plateau (ITP). This study highlights the impacts of the local climate and topography on terrestrial water storage, and has reference value for the government and the public to address the crisis of water resources in China.
Panxing He; Zongjiu Sun; Zhiming Han; Xiaoliang Ma; Pei Zhao; Yifei Liu; Jun Ma. Divergent Trends of Water Storage Observed via Gravity Satellite across Distinct Areas in China. Water 2020, 12, 2862 .
AMA StylePanxing He, Zongjiu Sun, Zhiming Han, Xiaoliang Ma, Pei Zhao, Yifei Liu, Jun Ma. Divergent Trends of Water Storage Observed via Gravity Satellite across Distinct Areas in China. Water. 2020; 12 (10):2862.
Chicago/Turabian StylePanxing He; Zongjiu Sun; Zhiming Han; Xiaoliang Ma; Pei Zhao; Yifei Liu; Jun Ma. 2020. "Divergent Trends of Water Storage Observed via Gravity Satellite across Distinct Areas in China." Water 12, no. 10: 2862.