Does species trait composition influence macroinvertebrate responses to irrigation water withdrawals: Evidence from the Intermountain West, USA

2010 ◽  
Vol 26 (10) ◽  
pp. 1261-1280 ◽  
Author(s):  
Scott W. Miller ◽  
David Wooster ◽  
Judith L. Li
Keyword(s):  
Irrigation Water ◽  
Intermountain West ◽  
Species Trait ◽  
Water Withdrawals ◽  
Irrigation Water Withdrawals

Resistance and resilience of macroinvertebrates to irrigation water withdrawals

2007 ◽  
Vol 52 (12) ◽  
pp. 2494-2510 ◽  
Author(s):  
SCOTT W. MILLER ◽  
DAVID WOOSTER ◽  
JUDITH LI
Keyword(s):  
Irrigation Water ◽  
Water Withdrawals ◽  
Irrigation Water Withdrawals

scholarly journals Achieving sustainable irrigation water withdrawals: global impacts on food security and land use

2017 ◽  
Vol 12 (10) ◽  
pp. 104009 ◽  
Author(s):  
Jing Liu ◽  
Thomas W Hertel ◽  
Richard B Lammers ◽  
Alexander Prusevich ◽  
Uris Lantz C Baldos ◽  
...  
Keyword(s):  
Land Use ◽  
Food Security ◽  
Irrigation Water ◽  
Global Impacts ◽  
Water Withdrawals ◽  
Sustainable Irrigation ◽  
Irrigation Water Withdrawals

Spatial patterns of irrigation water withdrawals in China and implications for water saving

2017 ◽  
Vol 27 (3) ◽  
pp. 362-373 ◽  
Author(s):  
Hongrun Ju ◽  
Zengxiang Zhang ◽  
Qingke Wen ◽  
Jiao Wang ◽  
Lijin Zhong ◽  
...  
Keyword(s):  
Spatial Patterns ◽  
Irrigation Water ◽  
Water Saving ◽  
Water Withdrawals ◽  
Irrigation Water Withdrawals

scholarly journals Irrigated areas drive irrigation water withdrawals

2021 ◽  
Vol 12 (1) ◽  
Author(s):  
Arnald Puy ◽  
Emanuele Borgonovo ◽  
Samuele Lo Piano ◽  
Simon A. Levin ◽  
Andrea Saltelli
Keyword(s):  
Irrigation Water ◽  
Water Security ◽  
Weather Data ◽  
Irrigated Agriculture ◽  
Global Models ◽  
Food And Agriculture ◽  
Food And Agriculture Organization ◽  
Crop Types ◽  
Water Withdrawals ◽  
Irrigation Water Withdrawals

AbstractA sustainable management of global freshwater resources requires reliable estimates of the water demanded by irrigated agriculture. This has been attempted by the Food and Agriculture Organization (FAO) through country surveys and censuses, or through Global Models, which compute irrigation water withdrawals with sub-models on crop types and calendars, evapotranspiration, irrigation efficiencies, weather data and irrigated areas, among others. Here we demonstrate that these strategies err on the side of excess complexity, as the values reported by FAO and outputted by Global Models are largely conditioned by irrigated areas and their uncertainty. Modelling irrigation water withdrawals as a function of irrigated areas yields almost the same results in a much parsimonious way, while permitting the exploration of all model uncertainties. Our work offers a robust and more transparent approach to estimate one of the most important indicators guiding our policies on water security worldwide.

scholarly journals Accounting for Seasonal Land Use Dynamics to Improve Estimation of Agricultural Irrigation Water Withdrawals

Water ◽  
2019 ◽  
Vol 11 (12) ◽  
pp. 2471 ◽  
Author(s):  
Anna Msigwa ◽  
Hans C. Komakech ◽  
Boud Verbeiren ◽  
Elga Salvadore ◽  
Tim Hessels ◽  
...  
Keyword(s):  
Land Use ◽  
Land Cover ◽  
Irrigation Water ◽  
Reference Points ◽  
Landsat 8 ◽  
Rain Season ◽  
Catchment Areas ◽  
Water Withdrawals ◽  
Short Rains ◽  
Land Use Maps

The assessment of water withdrawals for irrigation is essential for managing water resources in cultivated tropical catchments. These water withdrawals vary seasonally, driven by wet and dry seasons. A land use map is one of the required inputs of hydrological models used to estimate water withdrawals in a catchment. However, land use maps provide typically static information and do not represent the hydrological seasons and related cropping seasons and practices throughout the year. Therefore, this study assesses the value of seasonal land use maps in the quantification of water withdrawals for a tropical cultivated catchment. We developed land use maps for the main seasons (long rains, dry, and short rains) for the semi-arid Kikuletwa catchment, Tanzania. Three Landsat 8 images from 2016 were used to develop seasonal land use land cover (LULC) maps: March (long rains), August (dry season), and October (short rains). Quantitative and qualitative observation data on cropping systems (reference points and questionnaires/surveys) were collected and used for the supervised classification algorithm. Land use classifications were done using 20 land use and land cover classes for the wet season image and 19 classes for the dry and short rain season images. Water withdrawals for irrigated agriculture were calculated using (1) the static land use map or (2) the three seasonal land use maps. Clear differences in land use can be seen between the dry and the other seasons and between rain-fed and irrigated areas. A difference in water withdrawals was observed when seasonal and static land use maps were used. The highest differences were obtained for irrigated mixed crops, with an estimation of 572 million m3/year when seasonal dynamic maps were used and only 90 million m3/year when a static map was used. This study concludes that detailed seasonal land use maps are essential for quantifying annual irrigation water use of catchment areas with distinct dry and wet seasonal dynamics.

scholarly journals Global scenarios of irrigation water abstractions for bioenergy production: a systematic review

2021 ◽  
Vol 25 (4) ◽  
pp. 1711-1726
Author(s):  
Fabian Stenzel ◽  
Dieter Gerten ◽  
Naota Hanasaki
Keyword(s):  
Water Use ◽  
Irrigation Water ◽  
High Water ◽  
Green Water ◽  
Total Biomass ◽  
Domestic Water ◽  
Crop Species ◽  
Biomass Harvest ◽  
Bioenergy Production ◽  
Water Withdrawals

Abstract. Many scenarios of future climate evolution and its anthropogenic drivers include considerable amounts of bioenergy as a fuel source, as a negative emission technology, and for providing electricity. The associated freshwater abstractions for irrigation of dedicated biomass plantations might be substantial and therefore potentially increase water limitation and stress in affected regions; however, assumptions and quantities of water use provided in the literature vary strongly. This paper reviews existing global assessments of freshwater abstractions for bioenergy production and puts these estimates into the context of scenarios of other water-use sectors. We scanned the available literature and (out of 430 initial hits) found 16 publications (some of which include several bioenergy-water-use scenarios) with reported values on global irrigation water abstractions for biomass plantations, suggesting water withdrawals in the range of 128.4 to 9000 km3 yr−1, which would come on top of (or compete with) agricultural, industrial, and domestic water withdrawals. To provide an understanding of the origins of this large range, we present the diverse underlying assumptions, discuss major study differences, and calculate an inverse water-use efficiency (iwue), which facilitates comparison of the required freshwater amounts per produced biomass harvest. We conclude that due to the potentially high water demands and the tradeoffs that might go along with them, bioenergy should be an integral part of global assessments of freshwater demand and use. For interpreting and comparing reported estimates of possible future bioenergy water abstractions, full disclosure of parameters and assumptions is crucial. A minimum set should include the complete water balances of bioenergy production systems (including partitioning of blue and green water), bioenergy crop species and associated water-use efficiencies, rainfed and irrigated bioenergy plantation locations (including total area and meteorological conditions), and total biomass harvest amounts. In the future, a model intercomparison project with standardized parameters and scenarios would be helpful.

Sign in / Sign up

Export Citation Format

Share Document