Soil moisture from remote sensing to forecast desert locust presence. Issue 4 (17th January 2019)
- Record Type:
- Journal Article
- Title:
- Soil moisture from remote sensing to forecast desert locust presence. Issue 4 (17th January 2019)
- Main Title:
- Soil moisture from remote sensing to forecast desert locust presence
- Authors:
- Piou, Cyril
Gay, Pierre‐Emmanuel
Benahi, Ahmed Salem
Babah Ebbe, Mohamed Abdallahi Ould
Chihrane, Jamal
Ghaout, Saïd
Cisse, Sory
Diakite, Fakaba
Lazar, Mohammed
Cressman, Keith
Merlin, Olivier
Escorihuela, Maria‐José - Editors:
- Mcinnis‐Ng, Cate
- Abstract:
- Abstract: Preventive control of desert locusts is based on monitoring recession areas to detect outbreaks. Remote sensing has been increasingly used in the preventive control strategy. Soil moisture is a major ecological driver of desert locust populations but is still missing in the current imagery toolkit for preventive management. By means of statistical analyses, combining field observations of locust presence/absence and soil moisture estimates at 1 km resolution from a disaggregation algorithm, we assess the potential of soil moisture to help preventive management of desert locust. We observe that a soil moisture dynamics increase of above 0.09 cm 3 /cm 3 for 20 days followed by a decrease of soil moisture may increase the chance to observe locusts 70 days later. We estimate the gains in early warning timing compared to using imagery from vegetation to be 3 weeks. We demonstrate that forecasting errors may be reduced by the combination of several types of indicators such as soil moisture and vegetation index in a common statistical model forecasting locust presence. Policy implications . Soil moisture estimates at 1 km resolution should be used to plan desert locust surveys in preventive management. When soil moisture increases in a dry area of potential habitat for the desert locust, field surveys should be conducted two months later to evaluate the need of further preventive actions. Remote sensing estimates of soil moisture could also be used for other applicationsAbstract: Preventive control of desert locusts is based on monitoring recession areas to detect outbreaks. Remote sensing has been increasingly used in the preventive control strategy. Soil moisture is a major ecological driver of desert locust populations but is still missing in the current imagery toolkit for preventive management. By means of statistical analyses, combining field observations of locust presence/absence and soil moisture estimates at 1 km resolution from a disaggregation algorithm, we assess the potential of soil moisture to help preventive management of desert locust. We observe that a soil moisture dynamics increase of above 0.09 cm 3 /cm 3 for 20 days followed by a decrease of soil moisture may increase the chance to observe locusts 70 days later. We estimate the gains in early warning timing compared to using imagery from vegetation to be 3 weeks. We demonstrate that forecasting errors may be reduced by the combination of several types of indicators such as soil moisture and vegetation index in a common statistical model forecasting locust presence. Policy implications . Soil moisture estimates at 1 km resolution should be used to plan desert locust surveys in preventive management. When soil moisture increases in a dry area of potential habitat for the desert locust, field surveys should be conducted two months later to evaluate the need of further preventive actions. Remote sensing estimates of soil moisture could also be used for other applications of integrated pest management. … (more)
- Is Part Of:
- Journal of applied ecology. Volume 56:Issue 4(2019)
- Journal:
- Journal of applied ecology
- Issue:
- Volume 56:Issue 4(2019)
- Issue Display:
- Volume 56, Issue 4 (2019)
- Year:
- 2019
- Volume:
- 56
- Issue:
- 4
- Issue Sort Value:
- 2019-0056-0004-0000
- Page Start:
- 966
- Page End:
- 975
- Publication Date:
- 2019-01-17
- Subjects:
- agricultural pest -- desert locust -- disaggregation algorithm -- pest management -- preventive management -- random forest -- satellite imagery -- soil moisture
Agriculture -- Periodicals
Biology, Economic -- Periodicals
Agricultural ecology -- Periodicals
Applied ecology -- Periodicals
577 - Journal URLs:
- http://besjournals.onlinelibrary.wiley.com/hub/journal/10.1111/(ISSN)1365-2664/ ↗
http://onlinelibrary.wiley.com/ ↗
http://www.blackwell-synergy.com/member/institutions/issuelist.asp?journal=jpe ↗ - DOI:
- 10.1111/1365-2664.13323 ↗
- Languages:
- English
- ISSNs:
- 0021-8901
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 4942.500000
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 9751.xml