Prediction of plant species distribution in lowland river valleys in Belgium:Modelling species response to site conditions
In ecological modelling, limitations in data and their applicability for predictive modelling are more rule than exception. Often modelling has to be performed on sub-optimal data, as explicit and controlled collection of (more) appropriate data would not be feasible. An example of predictive ecological modelling is given with application of generalized additive and generalized linear models fitted to presence–absence records of plant species and site condition data from four nutrient-poor Flemish lowland valleys. Standard regression procedures are used for modelling, although explanatory and... Mehr ...
Verfasser: |
Bio, A. M. F
De Becker, Piet
De Bie, Els
Huybrechts, Willy
Wassen, M |
Dokumenttyp: |
Artikel |
Erscheinungsdatum: |
2002 |
Reihe/Periodikum: |
Bio , A M F , De Becker , P , De Bie , E , Huybrechts , W & Wassen , M 2002 , ' Prediction of plant species distribution in lowland river valleys in Belgium : Modelling species response to site conditions ' Biodiversity and Conservation , vol 11 , no. 12 , pp. 2189-2216 . DOI:10.1023/A:1021346712677 |
Schlagwörter: |
/dk/atira/pure/thematic/inbo_th_00036
/ Environment
/ /dk/atira/pure/discipline/B000/B003
/ B003-ecology
/ /dk/atira/pure/policy/beheermonitoring
/ management monitoring
/ /dk/atira/pure/geographic/vlaanderen
/ Flanders
/ /dk/atira/pure/technological/modellering
/ modelling |
Sprache: |
Englisch |
Permalink: |
https://search.fid-benelux.de/Record/base-28857881 |
Datenquelle: |
BASE;
Originalkatalog |
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Link(s) :
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https://pureportal.inbo.be/portal/en/publications/prediction-of-plant-species-distribution-in-lowland-river-valleys-in-belgium(8b4529c7-9071-495f-9d70-38c453893d54).html |