1 / 10

State-of-the-art in modelling riverine habitats

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.

devorah
Download Presentation

State-of-the-art in modelling riverine habitats

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript


  1. EAMN State-of-the-art in modelling riverine habitats COST Action 626 2001 – 2004

  2. 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.

  3. Physical habitat parameters

  4. 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.

  5. Interface between physics and ecology • Two types of interfaces: • Empirical-based habitat preference models • Biological process-based models

  6. 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

  7. 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

  8. 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.

  9. 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.

More Related