Over het archief
Het OWA, het open archief van het Waterbouwkundig Laboratorium heeft tot doel alle vrij toegankelijke onderzoeksresultaten van dit instituut in digitale vorm aan te bieden. Op die manier wil het de zichtbaarheid, verspreiding en gebruik van deze onderzoeksresultaten, alsook de wetenschappelijke communicatie maximaal bevorderen.
Dit archief wordt uitgebouwd en beheerd volgens de principes van de Open Access Movement, en het daaruit ontstane Open Archives Initiative.
Basisinformatie over ‘Open Access to scholarly information'.
[ meld een fout in dit record ] | mandje (0): toevoegen | toon |
Monitoring biodiversity in the Anthropocene using remote sensing in species distribution models Randin, Christophe F.; Ashcroft, Michael B.; Bolliger, Janine; Cavender-Bares, Jeannine; Coops, Nicholas C.; Dullinger, Stefan; Dirnböck, Thomas; Eckert, Sandra; Ellis, Erle; Fernández, Néstor; Giuliani, Gregory; Guisan, Antoine; Jetz, Walter; Joost, Stéphane; Karger, Dirk; Lembrechts, Jonas; Lenoir, Jonathan; Luoto, Miska; Morin, Xavier; Price, Bronwyn; Rocchini, Duccio; Schaepman, Michael; Schmid, Bernhard; Verburg, Peter; Wilson, Adam; Woodcock, Paul; Yoccoz, Nigel; Payne, Davnah (2020). Monitoring biodiversity in the Anthropocene using remote sensing in species distribution models. Remote Sens. Environ. 239: 111626. https://dx.doi.org/10.1016/j.rse.2019.111626
In: Remote Sensing of Environment. Elsevier: New York,. ISSN 0034-4257; e-ISSN 1879-0704, meer
|
Beschikbaar in | Auteur |
Author keywords |
|
Auteur | Top | |
|
Abstract |
A key opportunity to advance ecological modeling for both predictive and explanatory purposes arises through a collaboration between ecologists and the Earth observation community, and a close integration of remote sensing and species distribution models. Remote sensing products have the capacity to provide continuous spatiotemporal information about key factors driving the distribution of organisms, therefore improving both the use and accuracy of these models for management and planning. Here we first survey the literature on remote sensing data products available to ecological modelers interested in improving predictions of species range dynamics under global change. We specifically explore the key biophysical processes underlying the distribution of species in the Anthropocene including climate variability, changes in land cover, and disturbances. We then discuss potential synergies between the ecological modeling and remote sensing communities, and highlight opportunities to close the data and conceptual gaps that currently impede a more effective application of remote sensing for the monitoring and modeling of ecological systems. Specific attention is given to how potential collaborations between the two communities could lead to new opportunities to report on progress towards global agendas - such as the Agenda 2030 for sustainable development of the United Nations or the Post-2020 Global Biodiversity Framework of the Convention for Biological Diversity, and help guide conservation and management strategies towards sustainability. |
Top | Auteur |