species distribution model; ecological niche model; habitat; remote sensing
Abstract :
[en] Correlative distribution models are increasingly used in biological conservation. They often require the compilation of various environmental attributes (climate, topography, land cover,…), which can be very time-consuming. In the Lifewatch project, a database combining segmentation in homogeneous landscape units (“ecotopes”) and environmental attributes derived from regularly updated remote sensing data (land cover, potential solar energy,…) and other data sources (climate, topography,…) has been designed. Our aim was to assess the usefulness of this database for species distribution modelling and to propose further improvements. The distribution of ten species (four butterflies, three birds, two reptiles and one mammal) was modelled across Wallonia and model performance was assessed by Area Under the ROC Curve using the subsample approach. The models derived from ecotope segmentation and quantitative land cover attributes were compared to those obtained with a corresponding grid and a qualitative land cover database. The usefulness of ancillary data (soil properties, contextual attributes) was assessed to decide which variables should be integrated in the ecotope database. The results allowed us to assess and improve the relevance and accuracy of our database, which is a promising tool for species distribution modellers at the European scale.
Disciplines :
Environmental sciences & ecology
Author, co-author :
Delangre, Jessica ; Université de Liège > Ingénierie des biosystèmes (Biose) > Biodiversité et Paysage
Radoux, Julien; Université Catholique de Louvain - UCL > Earth and Life Institute > Environmental Sciences
Jacquemin, Floriane ; Université de Liège > Forêts, Nature et Paysage > Biodiversité et Paysage
Dufrêne, Marc ; Université de Liège > Ingénierie des biosystèmes (Biose) > Biodiversité et Paysage
Language :
English
Title :
Combining remote sensing and ancillary data to improve species distribution models
Alternative titles :
[fr] Combinaison de données issues de la télédétection et de données ancillaires pour améliorer les modèles de distribution d'espèces
This website uses cookies to improve user experience. Read more
Save & Close
Accept all
Decline all
Show detailsHide details
Cookie declaration
About cookies
Strictly necessary
Performance
Strictly necessary cookies allow core website functionality such as user login and account management. The website cannot be used properly without strictly necessary cookies.
This cookie is used by Cookie-Script.com service to remember visitor cookie consent preferences. It is necessary for Cookie-Script.com cookie banner to work properly.
Performance cookies are used to see how visitors use the website, eg. analytics cookies. Those cookies cannot be used to directly identify a certain visitor.
Used to store the attribution information, the referrer initially used to visit the website
Cookies are small text files that are placed on your computer by websites that you visit. Websites use cookies to help users navigate efficiently and perform certain functions. Cookies that are required for the website to operate properly are allowed to be set without your permission. All other cookies need to be approved before they can be set in the browser.
You can change your consent to cookie usage at any time on our Privacy Policy page.