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E AM N. State-of-the-art in modelling riverine habitats. COST Action 626 2001 – 2004. E AM N. Introduction. Habitat models predict (changes in) the suitability of faunal and floral habitats in response to (changes in) environmental factors.
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EAMN State-of-the-art in modelling riverine habitats COST Action 626 2001 – 2004
EAMN Introduction • Habitat models predict (changes in) the suitability of faunal and floral habitats in response to (changes in) environmental factors. • Habitat models generally consist of a combination of physics and habitat preference information.
Physical habitat parameters • Key parameters were listed on different scales: from microhabitats to landscape scale. • Limiting factors for habitat modelling were identified: for example predator-prey relationships, spatial links in habitat use or extreme events.
Interface between physics and ecology • Two types of interfaces: • Empirical-based habitat preference models • Biological process-based models
Habitat preference curves • Univariate preference functions • Multivariate preference functions • Ordination techniques • Artificial neural networks • Fuzzy rule-based functions • Logistic regression • Decision trees • Biological indicator systems
small medium high small medium high very high flow velocity water depth 1 1 0,8 0,8 0,6 0,6 membership [-] membership [-] 0,4 0,4 0,2 0,2 0 0 0 0,3 0,6 0,9 1,2 1,5 0 0,3 0,6 0,9 h [m] v [m/s] substrate habitat suitability 1 1 0,8 0,8 0,6 0,6 membership [-] membership [-] 0,4 0,4 0,2 0,2 0 0 0 1 2 3 4 5 6 7 8 9 0 0,2 0,4 0,6 0,8 1 Index SI
Biological process-based models • Population dynamics • reproduction, growth, mortality, feeding, digestion, migration. • Bioenergetic models • the budget of energy intake (food) and energy loss (swimming) denotes optimal location.
Inventory of models • Model techniques were classified: • statistical or mechanistic methods • applied on biology, hydraulics, water quality, hydrology, morphodynamics and spatial analysis. • Details were listed for 27 different modelling tools used by COST626 members.