Spatially explicit metapopulation model - Incidence Function Model
This catalogue respects all FAIR guidelines and best practices and uses the IEEE Standard for Learning Object Metadata (IEEE 2002) that has been customised in order to be compliant with the EOSC Training Resource Profile - Data Model.
Description
The LifeWatch eCampus offers courses, short schools and lifelong learning products dedicated to universities, post-doc and early-career researchers. The Incidence Function Model describes presence/absence of a species in the patches of a highly fragmented landscape at discrete time intervals (years) as the result of colonization and extinction processes. The IFM ignores local dynamics since they are faster than metapopulation dynamics in producing changes in the size of local populations (Hanski, 1994). In the IFM, the process of occupancy of patch is described by a first-order Markov chain with two states, {O, i} (empty and occupied, respectively). The extinction probability of a population in a patch is constant in time and is assumed to decrease with increasing patch area, and the colonization probability is assumed to be a sigmoidal function increasing with connectivity. The IFM is the best known spatially explicit metapopulation model in literature. This model has been applied to conservation problems and to area-wide pest-management.
Sound knowledge of Probability and Statistics and basic elements of any programming language is recommended.
1 - General
2 - Life Cycle
2.3 - Contribute
3 - Educational
4 - Technical
Details
| Code | 43 |
|---|---|
| Uploaded by | Maria Teresa Manca |
| Available since | 14/12/21 15:46 |