Spatiotemporal variation of ecological environment quality and extreme climate drivers on the Qinghai-Tibetan Plateau

Sun, Tao; Yang, Yan-mei; Wang, Zegen; Yong, Zhiwei; Xiong, Junnan; Ma, Guoli; Li, Jie; Liu, Ao

doi:10.1007/s11629-023-8025-6

Cited by 6 publications

(2 citation statements)

References 72 publications

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“…Notably, climate conditions had direct negative effects on habitat quality, and the influence pathway coefficients were higher in medium-level zones than in high-level zones across five periods (β = −0.1764, −0.2656, −0.2105, −0.2547, and −0.2925, respectively). Current climate conditions are increasingly unfavorable to habitat quality, attributed to global change and extreme weather (e.g., drought) [76,77].…”

Section: The Driving Paths Of Habitat Quality Patternsmentioning

confidence: 99%

Evaluating Spatiotemporal Patterns and Integrated Driving Forces of Habitat Quality in the Northern Sand-Prevention Belt of China

Zhang,

Zheng,

Zou

et al. 2024

Sustainability

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Understanding habitat quality patterns and their drivers in arid zones is of fundamental importance to the sustainability maintenance of terrestrial ecosystems, but remains elusive. Here, we applied the InVEST model to investigate the spatiotemporal patterns of habitat quality in the northern sand-prevention belt (NSPB) across five time periods (2000, 2005, 2010, 2015, 2018), coupled with the structural equation model (SEM) and boosted regression tree (BRT) model to identify their integrated driving forces. The results exhibited that habitat quality in high-level zones expanded gradually from 2000 to 2018, while the middle- and low-level zones shrank. Climate, soil, topography, and human activities were significantly correlated with habitat quality, with mean annual temperature (MAT) and human activities being key contributing factors in the high-level and low-level zones, respectively, whereas the contribution of factors varied considerably in the middle-level zones. The interactions among climate, soil, topography, and human activities jointly drive habitat quality changes. Climate intensified the positive effects of soil on habitat quality, while the topographic and human activities mainly affected habitat quality indirectly through climate and soil. Our findings offer a scientific guidance for the restoration and sustainable management of desertification ecosystems in northern China.

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Section: The Driving Paths Of Habitat Quality Patternsmentioning

confidence: 99%

Evaluating Spatiotemporal Patterns and Integrated Driving Forces of Habitat Quality in the Northern Sand-Prevention Belt of China

Zhang,

Zheng,

Zou

et al. 2024

Sustainability

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“…The water resources system is undergoing tremendous changes, and the frequency of extreme hydrological and climatic events also shows an ascending inclination. The variation in climate and underlying surface of basins has exerted impacts on canopy interception, surface infiltration, evapotranspiration, and surface runoff, accelerating the process of atmospheric circulation and terrestrial water circulation, which in turn leads to a reduction in the total amount of water [1][2][3][4][5]. Therefore, the water cycles of watersheds under environmental changes have become a hot research topic.…”

Section: Introductionmentioning

confidence: 99%

Simulation and Evaluation of Runoff in Tributary of Weihe River Basin in Western China

Liu,

Su,

Wang

et al. 2024

Water

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Model simulation plays a significant role in the water resources cycle, and the simulation accuracy of models is the key to predicting regional water resources. In this research, the Qianhe tributary at the Weihe River basin in Western China was selected as the study area. The tributary was divided into 29 sub-basins and 308 hydrological response units according to the spatial raster data and attribute data of the hydrology, meteorology, topography, land use, and soil types. On this basis, a soil and water assessment tool (SWAT) model for runoff simulation and evaluation of this region was established. A sensitivity test and parameter calibration were then executed on 15 parameters involved with surface runoff, soil flow, and shallow underground runoff. The simulation results demonstrate a calibration and verification error of 3.06–10.08%, with very small uncertainties throughout the simulation, whereas they exhibit relatively large errors in the simulation of the dry period (winter) but, in contrast, quite small errors in the rainy period (summer). In addition, the simulated runoff with a low value is overestimated. When the annual, monthly, and daily runoff are 4–13.5 m3/s, 4–69.8 m3/s, and 40–189.3 m3/s, respectively, the relative error is smaller, and the simulation results are more accurate. The sensitive parameters predominantly affecting the runoff simulation of the basin include soil evaporation compensation, runoff curve coefficient, vegetation transpiration compensation, and saturated hydraulic conductivity in this region. In the case of hypothetical land use change scenarios, we observe a great reduction in simulated runoff in arable land, woodland, and grassland, while we observe an increment in construction and residential land and wasteland. The annual and monthly runoff are increased by above 54.5%. With the increase in cultivated land and forestland, the annual and monthly runoff decrease by 24.6% and 6.8%, respectively. In the case of hypothetical scenarios under 24 climate combinations, if the precipitation remains unchanged, the increase and decrease in temperature by 1 °C leads to a decline and increment of runoff by −0.72% and 5.91%, respectively. With regard to the simulation for the future under the RCP2.6 and RCP8.5 climate scenarios, downscaling was employed to predict the runoff trend of the future. In short, this study provides a method for runoff inversion and water resources prediction in small mountainous watersheds lacking hydrological and meteorological observation stations.

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Assessment on eco-environmental quality of the Yellow River Basin by considering desertification index

An,

Meng,

et al. 2024

J. Mt. Sci.

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Spatiotemporal variation of ecological environment quality and extreme climate drivers on the Qinghai-Tibetan Plateau

Cited by 6 publications

References 72 publications

Evaluating Spatiotemporal Patterns and Integrated Driving Forces of Habitat Quality in the Northern Sand-Prevention Belt of China

Evaluating Spatiotemporal Patterns and Integrated Driving Forces of Habitat Quality in the Northern Sand-Prevention Belt of China

Simulation and Evaluation of Runoff in Tributary of Weihe River Basin in Western China

Assessment on eco-environmental quality of the Yellow River Basin by considering desertification index

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