Exploring the optimal crop planting structure to balance water saving, food security and incomes under the spatiotemporal heterogeneity of the agricultural climate. (1st October 2021)
- Record Type:
- Journal Article
- Title:
- Exploring the optimal crop planting structure to balance water saving, food security and incomes under the spatiotemporal heterogeneity of the agricultural climate. (1st October 2021)
- Main Title:
- Exploring the optimal crop planting structure to balance water saving, food security and incomes under the spatiotemporal heterogeneity of the agricultural climate
- Authors:
- Wang, Shuo
Fu, Guorui
Ma, Xiaoqing
Xu, Ling
Yang, Fenglin - Abstract:
- Abstract: Crop planting provided foods, generated incomes, and consumed water resources to different extents under different spatiotemporal agroclimatic conditions. For balancing three aspects, targeting the rice, maize, wheat, and sorghum planted in Liaoning during the recent two decades, we established an integrated research framework consisting of water footprint (WF) accounting, clustering analysis, and fuzzy optimization programming to quantify the temporal trends and spatial distribution of water footprints, and optimized the planting structure under the different spatiotemporal agroclimatic conditions. Results showed that the maximum water footprint differences were 4166.73 m 3 /t and 4790.71 m 3 /t in spatial distribution and temporal series, respectively. Based on precipitation, we established 12 agroclimatic scenarios according to K-Means clustering. The fuzzy optimization result indicated that the planting area percent ranges of maize, wheat, rice, and sorghum in Liaoning province were 4.96%–98.62%, 0.00%–8.55%, 0.00%–18.18%, and 0.00%–95.04%, respectively under the different spatiotemporal conditions. This study's methods and results help make targeted decisions related to grain planting structure while considering the complex spatial-temporal conditions. Highlights: The spatiotemporal heterogeneity of water footprint was extensive. The cultivation technology was the essential factor for structure optimization. It was hard to achieve targets of water resources,Abstract: Crop planting provided foods, generated incomes, and consumed water resources to different extents under different spatiotemporal agroclimatic conditions. For balancing three aspects, targeting the rice, maize, wheat, and sorghum planted in Liaoning during the recent two decades, we established an integrated research framework consisting of water footprint (WF) accounting, clustering analysis, and fuzzy optimization programming to quantify the temporal trends and spatial distribution of water footprints, and optimized the planting structure under the different spatiotemporal agroclimatic conditions. Results showed that the maximum water footprint differences were 4166.73 m 3 /t and 4790.71 m 3 /t in spatial distribution and temporal series, respectively. Based on precipitation, we established 12 agroclimatic scenarios according to K-Means clustering. The fuzzy optimization result indicated that the planting area percent ranges of maize, wheat, rice, and sorghum in Liaoning province were 4.96%–98.62%, 0.00%–8.55%, 0.00%–18.18%, and 0.00%–95.04%, respectively under the different spatiotemporal conditions. This study's methods and results help make targeted decisions related to grain planting structure while considering the complex spatial-temporal conditions. Highlights: The spatiotemporal heterogeneity of water footprint was extensive. The cultivation technology was the essential factor for structure optimization. It was hard to achieve targets of water resources, yields and income simultaneously. … (more)
- Is Part Of:
- Journal of environmental management. Volume 295(2021)
- Journal:
- Journal of environmental management
- Issue:
- Volume 295(2021)
- Issue Display:
- Volume 295, Issue 2021 (2021)
- Year:
- 2021
- Volume:
- 295
- Issue:
- 2021
- Issue Sort Value:
- 2021-0295-2021-0000
- Page Start:
- Page End:
- Publication Date:
- 2021-10-01
- Subjects:
- Water footprint -- Spatiotemporal heterogeneity -- Fuzzy optimization program -- Liaoning province
Environmental policy -- Periodicals
Environmental management -- Periodicals
Environment -- Periodicals
Ecology -- Periodicals
363.705 - Journal URLs:
- http://www.sciencedirect.com/science/journal/03014797 ↗
http://www.elsevier.com/journals ↗
http://www.idealibrary.com ↗
http://firstsearch.oclc.org ↗ - DOI:
- 10.1016/j.jenvman.2021.113130 ↗
- Languages:
- English
- ISSNs:
- 0301-4797
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 4979.383000
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British Library HMNTS - ELD Digital store - Ingest File:
- 18459.xml