A rapid, spatially explicit approach to describe cropping systems dynamics at the regional scale. (July 2019)
- Record Type:
- Journal Article
- Title:
- A rapid, spatially explicit approach to describe cropping systems dynamics at the regional scale. (July 2019)
- Main Title:
- A rapid, spatially explicit approach to describe cropping systems dynamics at the regional scale
- Authors:
- Rizzo, Davide
Therond, Olivier
Lardy, Romain
Murgue, Clément
Leenhardt, Delphine - Abstract:
- Abstract: Land managers need spatially explicit information about agricultural practices to address issues that arise from the use of natural resources in agriculture. One main characteristic of agriculture is its great variability in space and time. However, describing the spatial distribution of "cropping systems", i.e. crop sequences and crop management systems at the regional scale, remains a major scientific challenge. This study presents a new, simple and rapid approach to model the spatial distribution of irrigation management practices. It was developed in two large watersheds in southwestern France (about 1500 and 3000 km 2 ). Based on a previous study consisting of 27 farmer interviews in a study area about one-sixth the size of these watersheds, we interviewed 12 key informants who had an integrative vision of the study area and spent only one-fourth as much time collecting and processing the relevant data. One major innovation was to combine knowledge from generic databases and ad-hoc intermediate objects, such as diagrams, tables and maps, to interact with the key informants. These objects helped them focus on specific local information that we had missed and facilitated data processing. Interview results were used to spatially allocate cropping systems formalized as dynamic IF-THEN decision rules. We evaluated our approach by using a cropping system model to simulate irrigation withdrawals over a ten-year period. Its predictions reproduced well annual amountsAbstract: Land managers need spatially explicit information about agricultural practices to address issues that arise from the use of natural resources in agriculture. One main characteristic of agriculture is its great variability in space and time. However, describing the spatial distribution of "cropping systems", i.e. crop sequences and crop management systems at the regional scale, remains a major scientific challenge. This study presents a new, simple and rapid approach to model the spatial distribution of irrigation management practices. It was developed in two large watersheds in southwestern France (about 1500 and 3000 km 2 ). Based on a previous study consisting of 27 farmer interviews in a study area about one-sixth the size of these watersheds, we interviewed 12 key informants who had an integrative vision of the study area and spent only one-fourth as much time collecting and processing the relevant data. One major innovation was to combine knowledge from generic databases and ad-hoc intermediate objects, such as diagrams, tables and maps, to interact with the key informants. These objects helped them focus on specific local information that we had missed and facilitated data processing. Interview results were used to spatially allocate cropping systems formalized as dynamic IF-THEN decision rules. We evaluated our approach by using a cropping system model to simulate irrigation withdrawals over a ten-year period. Its predictions reproduced well annual amounts and inter-annual dynamics of irrigation water withdrawals recorded by the regional Water Agency. This approach, combining diagrams with IF-THEN rules, appears easy to adapt to study other areas and agricultural practices besides irrigation, as well as to manage annual and perennial crops. Highlights: Farm surveys to describe cropping systems and their spatial distribution are time consuming. We developed a faster approach based on key informant interviews. Key informants provided field-scale indicators driving irrigation and location factors. Generic databases and existing knowledge were used as intermediate objects. We evaluated the approach by comparing observed and simulated water withdrawals. … (more)
- Is Part Of:
- Agricultural systems. Volume 173(2019)
- Journal:
- Agricultural systems
- Issue:
- Volume 173(2019)
- Issue Display:
- Volume 173, Issue 2019 (2019)
- Year:
- 2019
- Volume:
- 173
- Issue:
- 2019
- Issue Sort Value:
- 2019-0173-2019-0000
- Page Start:
- 491
- Page End:
- 503
- Publication Date:
- 2019-07
- Subjects:
- Agricultural systems -- Periodicals
Agriculture -- Environmental aspects -- Periodicals
338.16 - Journal URLs:
- http://www.sciencedirect.com/science/journal/0308521X ↗
http://www.elsevier.com/journals ↗ - DOI:
- 10.1016/j.agsy.2019.04.003 ↗
- Languages:
- English
- ISSNs:
- 0308-521X
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 0757.410000
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 20376.xml