The Influence of Historical Land Use and Water Availability on Grassland Restoration

2010 ◽  
Vol 18 ◽  
pp. 217-225 ◽  
Author(s):  
Zhuwen Xu ◽  
Shiqiang Wan ◽  
Guilin Zhu ◽  
Haiyan Ren ◽  
Xingguo Han
Water ◽  
2021 ◽  
Vol 13 (10) ◽  
pp. 1433
Author(s):  
Navneet Kumar ◽  
Asia Khamzina ◽  
Patrick Knöfel ◽  
John P. A. Lamers ◽  
Bernhard Tischbein

Climate change is likely to decrease surface water availability in Central Asia, thereby necessitating land use adaptations in irrigated regions. The introduction of trees to marginally productive croplands with shallow groundwater was suggested for irrigation water-saving and improving the land’s productivity. Considering the possible trade-offs with water availability in large-scale afforestation, our study predicted the impacts on water balance components in the lower reaches of the Amudarya River to facilitate afforestation planning using the Soil and Water Assessment Tool (SWAT). The land-use scenarios used for modeling analysis considered the afforestation of 62% and 100% of marginally productive croplands under average and low irrigation water supply identified from historical land-use maps. The results indicate a dramatic decrease in the examined water balance components in all afforestation scenarios based largely on the reduced irrigation demand of trees compared to the main crops. Specifically, replacing current crops (mostly cotton) with trees on all marginal land (approximately 663 km2) in the study region with an average water availability would save 1037 mln m3 of gross irrigation input within the study region and lower the annual drainage discharge by 504 mln m3. These effects have a considerable potential to support irrigation water management and enhance drainage functions in adapting to future water supply limitations.


Hydrology ◽  
2021 ◽  
Vol 8 (1) ◽  
pp. 38
Author(s):  
Nick Martin

Climate and land use and land cover (LULC) changes will impact watershed-scale water resources. These systemic alterations will have interacting influences on water availability. A probabilistic risk assessment (PRA) framework for water resource impact analysis from future systemic change is described and implemented to examine combined climate and LULC change impacts from 2011–2100 for a study site in west-central Texas. Internally, the PRA framework provides probabilistic simulation of reference and future conditions using weather generator and water balance models in series—one weather generator and water balance model for reference and one of each for future conditions. To quantify future conditions uncertainty, framework results are the magnitude of change in water availability, from the comparison of simulated reference and future conditions, and likelihoods for each change. Inherent advantages of the framework formulation for analyzing future risk are the explicit incorporation of reference conditions to avoid additional scenario-based analysis of reference conditions and climate change emissions scenarios. In the case study application, an increase in impervious area from economic development is the LULC change; it generates a 1.1 times increase in average water availability, relative to future climate trends, from increased runoff and decreased transpiration.


2021 ◽  
Vol 108 ◽  
pp. 103224
Author(s):  
Tárcio Rocha Lopes ◽  
Cornélio Alberto Zolin ◽  
Rafael Mingoti ◽  
Laurimar Gonçalves Vendrusculo ◽  
Frederico Terra de Almeida ◽  
...  

Geoderma ◽  
2004 ◽  
Vol 118 (3-4) ◽  
pp. 149-165 ◽  
Author(s):  
Zewdu Eshetu ◽  
Reiner Giesler ◽  
Peter Högberg

1996 ◽  
Vol 18 (1) ◽  
pp. 87-93 ◽  
Author(s):  
P. Sainsbury ◽  
R. Hussey ◽  
J. Ashton ◽  
B. Andrews

1995 ◽  
Vol 53 (1) ◽  
pp. 83-95 ◽  
Author(s):  
Dennis P. Garrity ◽  
Patricio C. Agustin
Keyword(s):  
Land Use ◽  

2018 ◽  
Vol 434 (1-2) ◽  
pp. 289-304 ◽  
Author(s):  
Safaa Wasof ◽  
An De Schrijver ◽  
Stephanie Schelfhout ◽  
Michael P. Perring ◽  
Elyn Remy ◽  
...  

2019 ◽  
Vol 269 ◽  
pp. 174-182 ◽  
Author(s):  
Valeria Soledad Faggioli ◽  
Marta Noemí Cabello ◽  
Gabriel Grilli ◽  
Martti Vasar ◽  
Fernanda Covacevich ◽  
...  

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