Back to Search
Start Over
New Approach for Mapping the Vulnerability of Agroecosystems Based on Expert Knowledge
- Source :
- Mathematical Geosciences. 50:679-696
- Publication Year :
- 2018
- Publisher :
- Springer Science and Business Media LLC, 2018.
-
Abstract
- Climate change influences the frequency and intensity of extreme weather events, which have a strong impact on agroecosystems. At regional scale, agroecosystems are diverse in terms of ecological environment and farming practice, intrinsic properties that influence their vulnerability to such events. The link between extreme weather events and the vulnerability of agroecosystems can be conceptualized by experts, including farmers, advisers, and agricultural scientists. However, their knowledge is not easily taken into account in models. A transdisciplinary modeling approach was developed to map the vulnerability of agroecosystems based on expert knowledge using a combination of a fuzzy inference system and geographical information system. The developed approach was applied to assess the vulnerability of two major Belgian agroecosysems: (i) the vulnerability of cropland to heavy rain, and (ii) the vulnerability of grassland to drought. The approach is flexible and identifies the various factors underlying the vulnerability and provides a useful tool to study potential sources of adaptation and resilience within agricultural systems.
- Subjects :
- 010504 meteorology & atmospheric sciences
business.industry
media_common.quotation_subject
Environmental resource management
Vulnerability
Climate change
010501 environmental sciences
01 natural sciences
Extreme weather
Mathematics (miscellaneous)
Geography
Agriculture
Information system
General Earth and Planetary Sciences
Psychological resilience
Scale (map)
business
Adaptation (computer science)
0105 earth and related environmental sciences
media_common
Subjects
Details
- ISSN :
- 18748953 and 18748961
- Volume :
- 50
- Database :
- OpenAIRE
- Journal :
- Mathematical Geosciences
- Accession number :
- edsair.doi...........69d613f44e5bf00b705cbe0b6d005e9c
- Full Text :
- https://doi.org/10.1007/s11004-018-9730-5