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
1.1 - Identifier
43
1.2 - URL type
URL
1.3 - URL
https://training.lifewatch.eu/biodiversity-ecampus/resources/?resource=/course/view.php?id=53
1.4 - Title
Spatially explicit metapopulation model - Incidence Function Model
1.5 - Language
en
1.6 - 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.
1.7 - Keywords
Incidence Function Model
1.8 - Geographical availability
WW
2 - Life Cycle
2.1 - Version
Not available
2.2 - Status
Final
2.3 - Contribute
2.3.1 - Role
Author
2.3.2 - Entity
LifeWatch ERIC
2.4 - Date
2021
3 - Educational
3.1 - Interactivity type
Mixed
3.2 - Learning resource type
Exercise
3.3 - Interactivity level
Medium
3.4 - Semantic density
Medium
3.5 - Target group
Students
3.6 - Context
Other
3.7 - Expertise level
Beginner
3.8 - Typical learning time
Knowledge-dependent
3.9 - Learning outcome(s)
3.10 - Access rights
Restricted access
3.11 - Cost
No
3.12 - Copyright and other restrictions
Yes
3.13 - Conditions of use
free to use
4 - Technical
4.1 - Size
Not Available
4.2 - Scientific domain and subdomain
Natural Sciences - Earth and related environmental sciences
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Details

Code43
Uploaded byMaria Teresa Manca
Available since14/12/21 15:46

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