<?xml version="1.0" encoding="UTF-8"?><?xml-stylesheet type="text/xsl" href="static/style.xsl"?><OAI-PMH xmlns="http://www.openarchives.org/OAI/2.0/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/ http://www.openarchives.org/OAI/2.0/OAI-PMH.xsd"><responseDate>2026-04-14T02:28:04Z</responseDate><request verb="GetRecord" identifier="oai:www.recercat.cat:10459.1/465637" metadataPrefix="oai_dc">https://recercat.cat/oai/request</request><GetRecord><record><header><identifier>oai:recercat.cat:10459.1/465637</identifier><datestamp>2025-09-15T18:49:43Z</datestamp><setSpec>com_2072_3622</setSpec><setSpec>col_2072_479130</setSpec></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:doc="http://www.lyncode.com/xoai" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
   <dc:title>Foundation models in shaping the future of ecology</dc:title>
   <dc:creator>Morera, Albert</dc:creator>
   <dc:subject>Artificial intelligence</dc:subject>
   <dc:subject>Machine learning</dc:subject>
   <dc:subject>Modelling</dc:subject>
   <dc:subject>Big data</dc:subject>
   <dc:description>In the field of ecology, we are facing urgent challenges related to biodiversity loss, global change and ecosystem sustainability. In this context, the application of Foundation Models emerges as a powerful tool. These models have the potential to reshape our understanding of natural systems by the incorporation of large volumes of data from different sources the generation of results with a more holistic view of ecosystem functioning. However, the application of Foundation Models in ecology presents challenges that will need to be addressed, such as model interpretation, training efficiency, and the ethical considerations due their implementation.</dc:description>
   <dc:description>This work was supported by the University of Lleida and the Forest Science and Technology Centre of Catalonia</dc:description>
   <dc:date>2024</dc:date>
   <dc:type>info:eu-repo/semantics/article</dc:type>
   <dc:type>info:eu-repo/semantics/publishedVersion</dc:type>
   <dc:identifier>https://doi.org/10.1016/j.ecoinf.2024.102545</dc:identifier>
   <dc:identifier>1878-0512</dc:identifier>
   <dc:identifier>https://hdl.handle.net/10459.1/465637</dc:identifier>
   <dc:language>eng</dc:language>
   <dc:relation>Reproducció del document publicat a https://doi.org/10.1016/j.ecoinf.2024.102545</dc:relation>
   <dc:relation>Ecological Informatics, 2024, vol. 80, núm. 102545, p. 1-3</dc:relation>
   <dc:rights>cc-by (c) Morera et al., 2024</dc:rights>
   <dc:rights>Attribution 4.0 International</dc:rights>
   <dc:rights>info:eu-repo/semantics/openAccess</dc:rights>
   <dc:rights>http://creativecommons.org/licenses/by/4.0/</dc:rights>
   <dc:publisher>Elsevier</dc:publisher>
</oai_dc:dc></metadata></record></GetRecord></OAI-PMH>