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Journal ArticleDOI

Evaluating potential impacts of land use changes on water supply-demand under multiple development scenarios in dryland region

Xueqi Liu, +3 more
- 01 Apr 2022 - 
- Vol. 610, pp 127811-127811
TLDR
Wang et al. as mentioned in this paper estimated possible impacts of future land use changes on water supply and demand, and suggested some potential mitigation strategies of water resource utilization, such as developing water-efficient eco-agriculture, adjusting agricultural structures and enriching revegetation diversity, to coordinate future areal human-nature relationships.
Abstract
• We estimated possible impacts of future land use changes on water supply & demand. • Nearly 90% Yulin would bear endangered water supply–demand risk by 2050. • Water supply–demand risk increased from undersupplied to endangered in 2005–2050. • Mitigation strategies were put forward from agriculture, ecology and urbanization. Water scarcity greatly hinders sustainable development goal agenda and regional agriculture development in dryland regions. As we know, land use and cover changes are strongly responsible for spatial–temporal evolutions of water resource. However, there is little explicit understanding of how spatial patterns of future dryland use will affect the water supply–demand risk. To answer this question, this study took Yulin city of China, a typical dryland region, as a case study area, and firstly estimated its 2020–2050 land use patterns under three different scenarios, covering Natural Increased Scenario (NIS), Food Security Scenario (FSS) and Economic Development Scenario (EDS), with the help of the path-generating land use simulation (PLUS) model as well as Markov-chain model. Furthermore, this study employed InVEST model to explicitly investigate spatial–temporal evolutions of water supply, water demand and water supply–demand risk in all scenarios. The estimated results indicated that the largest expanding/shrinking land use types were grasslands/croplands in NIS, croplands/grasslands in FSS and built-up lands/croplands in EDS during 2020–2050, respectively. By 2050, all projected land use changes only slightly affected regional water supply (the fluctuation of ∼ 5% compared to that in 2020), but greatly increased by ∼ 57% regional water demand. Particularly, strong land use changes would likely put nearly 90% regions of Yulin city at endangered water supply–demand risk in 2020–2050. Ecological land and built-up land would easier suffer from critically endangered water supply–demand risk. In view of these modeled and analyzed results, some potential mitigation strategies of water resource utilization, such as developing water-efficient eco-agriculture, adjusting agricultural structures and enriching revegetation diversity, were suggested to coordinate future areal human-nature relationships. This study could provide some valuable information for dryland agricultural development, water-environment management and regional policy decision-making.

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Citations
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Journal ArticleDOI

Simulating future land use by coupling ecological security patterns and multiple scenarios.

TL;DR: In this paper , a land use simulation model with coupling constraints of ecological security patterns (ESPs) and multiple scenarios (MSs) was developed using the PLUS model, where the research scale was zoned with environmental functional regions, where land management policies were formulated.
Journal ArticleDOI

Land Use/Land Cover Mapping Based on GEE for the Monitoring of Changes in Ecosystem Types in the Upper Yellow River Basin over the Tibetan Plateau

TL;DR: In this article , the authors combined an 18-class LULC classification scheme based on ecosystem types with Sentinel-2 imagery, the Google Earth Engine (GEE) platform, and the random forest method to present new LULC products with a spatial resolution of 10 m in 2018 and 2020 for the upper Yellow River Basin over the Tibetan Plateau.
Journal ArticleDOI

Determination of ecological restoration patterns based on water security and food security in arid regions

TL;DR: In this paper , the authors evaluated the changes in grain yield, water yield (WY), and water purification (WP) from 2000 to 2020 in the Bosten Lake region, China.
Journal ArticleDOI

Research on the Change in Prediction of Water Production in Urban Agglomerations on the Northern Slopes of the Tianshan Mountains Based on the InVEST–PLUS Model

TL;DR: In this article , a coordination analysis of land use intensity and water yield based on future land-use simulation projections is presented, which can provide some scientific references for future land use planning.
Journal ArticleDOI

Coupling an Ecological Network with Multi-Scenario Land Use Simulation: An Ecological Spatial Constraint Approach

TL;DR: In this paper , a land use simulation model that couples an ecological network (EN) and multiple scenarios was developed based on the PLUS model for the simulation of land use in the Qiantang River Basin in 2030.
References
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TL;DR: It is shown that tremendous progress could be made by halting agricultural expansion, closing ‘yield gaps’ on underperforming lands, increasing cropping efficiency, shifting diets and reducing waste, which could double food production while greatly reducing the environmental impacts of agriculture.
Journal ArticleDOI

Spatiotemporal characteristics, patterns, and causes of land-use changes in China since the late 1980s

TL;DR: Wang et al. as mentioned in this paper examined the spatiotemporal characteristics, differences, and causes of land-use changes at a national scale and found that the built-up lands expanded rapidly, were mainly distributed in the east, and gradually spread out to central and western China.
Journal ArticleDOI

Revegetation in China’s Loess Plateau is approaching sustainable water resource limits

TL;DR: In this article, the authors study the semi-arid Loess Plateau in China, where the "Grain to Green" large-scale revegetation programme has been in operation since 1999.
Journal ArticleDOI

A future land use simulation model (FLUS) for simulating multiple land use scenarios by coupling human and natural effects

TL;DR: A future land use simulation (FLUS) model that explicitly simulates the long-term spatial trajectories of multiple LUCCs, and the simulation accuracy is higher than other well-accepted models, such as CLUE-S and CA models.
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