Global S&T Development Trend Analysis Platform of Resources and Environment
DOI | 10.1088/1748-9326/aaf2be |
Assessing landscape scale heterogeneity in irrigation water use with remote sensing and in situ monitoring | |
Foster, T.1; Goncalves, I. Z.2; Campos, I.3; Neale, C. M. U.2; Brozovic, N.2 | |
2019-02-01 | |
发表期刊 | ENVIRONMENTAL RESEARCH LETTERS |
ISSN | 1748-9326 |
出版年 | 2019 |
卷号 | 14期号:2 |
文章类型 | Article |
语种 | 英语 |
国家 | England; USA; Spain |
英文摘要 | Understanding how irrigation is used across agricultural landscapes is essential to support efforts to grow more food while reducing pressures on limited freshwater resources. However, to date, few studies have analyzed the underlying spatial and temporal variability in farmers' individual water use decisions at a landscape scale. We compare estimates of irrigation water requirements derived using state-of-the-art remote sensing models with metered abstraction records for 1400 fields over a 13 year period in the US state of Nebraska, one of the world's most intensively irrigated agricultural regions. We show that farmers' observed water use decisions often diverge significantly from biophysical estimates of crop irrigation requirements. In particular, our findings are consistent with widespread use of water conservation practices by farmers in drought years as an adaptive response to rising irrigation costs and regulatory water supply constraints in these years. We also demonstrate that, in any individual year, farmers observed water use exhibits large field-to-field variability, which cannot be explained fully by differences in weather, soil type, crop choice, or technology. Our results highlight the value of using both in situ monitoring and remote sensing to evaluate farmers' individual water use behavior and understand likely responses to future changes in climate or water policy. Moreover, our findings also demonstrate potential challenges for current efforts in developed and developing countries to apply model-based approaches for field-level water use accounting and enforcement of irrigation water rights. |
英文关键词 | irrigation water remote sensing monitoring agriculture |
领域 | 气候变化 |
收录类别 | SCI-E |
WOS记录号 | WOS:000456863500001 |
WOS关键词 | GROUNDWATER ; ADAPTATION ; MANAGEMENT ; DYNAMICS ; PATTERNS ; CROPS ; YIELD ; MODEL |
WOS类目 | Environmental Sciences ; Meteorology & Atmospheric Sciences |
WOS研究方向 | Environmental Sciences & Ecology ; Meteorology & Atmospheric Sciences |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://119.78.100.173/C666/handle/2XK7JSWQ/32104 |
专题 | 气候变化 |
作者单位 | 1.Univ Manchester, Sch Mech Aerosp & Civil Engn, Manchester, Lancs, England; 2.Univ Nebraska, Robert B Daugherty Water Food Global Inst, Lincoln, NE 68583 USA; 3.Inst Desarrollo Reg, GIS & Remote Sensing Grp, Albacate, Spain |
推荐引用方式 GB/T 7714 | Foster, T.,Goncalves, I. Z.,Campos, I.,et al. Assessing landscape scale heterogeneity in irrigation water use with remote sensing and in situ monitoring[J]. ENVIRONMENTAL RESEARCH LETTERS,2019,14(2). |
APA | Foster, T.,Goncalves, I. Z.,Campos, I.,Neale, C. M. U.,&Brozovic, N..(2019).Assessing landscape scale heterogeneity in irrigation water use with remote sensing and in situ monitoring.ENVIRONMENTAL RESEARCH LETTERS,14(2). |
MLA | Foster, T.,et al."Assessing landscape scale heterogeneity in irrigation water use with remote sensing and in situ monitoring".ENVIRONMENTAL RESEARCH LETTERS 14.2(2019). |
条目包含的文件 | 条目无相关文件。 |
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