https://w3id.org/sciencelive/np/RAYtSM4DzUfWg8_gDCSArKVYYkDLIYKHXG-OJYl6yJmac/Head
https://w3id.org/sciencelive/np/RAYtSM4DzUfWg8_gDCSArKVYYkDLIYKHXG-OJYl6yJmac
http://www.nanopub.org/nschema#hasAssertion
https://w3id.org/sciencelive/np/RAYtSM4DzUfWg8_gDCSArKVYYkDLIYKHXG-OJYl6yJmac/assertion
https://w3id.org/sciencelive/np/RAYtSM4DzUfWg8_gDCSArKVYYkDLIYKHXG-OJYl6yJmac
http://www.nanopub.org/nschema#hasProvenance
https://w3id.org/sciencelive/np/RAYtSM4DzUfWg8_gDCSArKVYYkDLIYKHXG-OJYl6yJmac/provenance
https://w3id.org/sciencelive/np/RAYtSM4DzUfWg8_gDCSArKVYYkDLIYKHXG-OJYl6yJmac
http://www.nanopub.org/nschema#hasPublicationInfo
https://w3id.org/sciencelive/np/RAYtSM4DzUfWg8_gDCSArKVYYkDLIYKHXG-OJYl6yJmac/pubinfo
https://w3id.org/sciencelive/np/RAYtSM4DzUfWg8_gDCSArKVYYkDLIYKHXG-OJYl6yJmac
http://www.w3.org/1999/02/22-rdf-syntax-ns#type
http://www.nanopub.org/nschema#Nanopublication
https://w3id.org/sciencelive/np/RAYtSM4DzUfWg8_gDCSArKVYYkDLIYKHXG-OJYl6yJmac/assertion
https://doi.org/10.1002/ecy.4224
http://purl.org/spar/cito/hasQuotedText
The incorporation of local variables into SDMs at fine grains is key to predict local abundance. SDMs worked out at really fine grains, approaching the average size of territory or home range of target species, are needed to predict local abundance effectively.
https://doi.org/10.1002/ecy.4224
http://purl.org/spar/cito/hasQuotedTextEnd
This may result from the fact that each single cell may represent a potential territory/home range, and hence a higher suitability over a given area means that more potential territories occur there.
https://doi.org/10.1002/ecy.4224
http://www.w3.org/2000/01/rdf-schema#comment
Empirical evidence on 14 bird species in Lombardy that fine-grain SDMs predict local abundance much better than coarse-grain ones: at 1 ha grain (home-range scale), 62% of species had a significant suitability-abundance effect; at 1 km only one did. Grain was the only factor significantly affecting explanatory power. Supports the case that DestinE Climate DT's higher resolution opens new operational possibilities for biodiversity work.
https://w3id.org/np/o/ntemplate/CREATOR
http://purl.org/spar/cito/quotes
https://doi.org/10.1002/ecy.4224
https://w3id.org/sciencelive/np/RAYtSM4DzUfWg8_gDCSArKVYYkDLIYKHXG-OJYl6yJmac/provenance
https://w3id.org/sciencelive/np/RAYtSM4DzUfWg8_gDCSArKVYYkDLIYKHXG-OJYl6yJmac/assertion
http://www.w3.org/ns/prov#wasAttributedTo
https://orcid.org/0000-0002-1784-2920
https://w3id.org/sciencelive/np/RAYtSM4DzUfWg8_gDCSArKVYYkDLIYKHXG-OJYl6yJmac/pubinfo
https://orcid.org/0000-0002-1784-2920
http://xmlns.com/foaf/0.1/name
Anne Fouilloux
https://w3id.org/sciencelive/np/RAYtSM4DzUfWg8_gDCSArKVYYkDLIYKHXG-OJYl6yJmac
http://purl.org/dc/terms/created
2026-05-21T08:34:31.030Z
https://w3id.org/sciencelive/np/RAYtSM4DzUfWg8_gDCSArKVYYkDLIYKHXG-OJYl6yJmac
http://purl.org/dc/terms/creator
https://orcid.org/0000-0002-1784-2920
https://w3id.org/sciencelive/np/RAYtSM4DzUfWg8_gDCSArKVYYkDLIYKHXG-OJYl6yJmac
http://purl.org/dc/terms/license
https://creativecommons.org/licenses/by/4.0/
https://w3id.org/sciencelive/np/RAYtSM4DzUfWg8_gDCSArKVYYkDLIYKHXG-OJYl6yJmac
http://purl.org/nanopub/x/hasNanopubType
http://purl.org/spar/cito/cites
https://w3id.org/sciencelive/np/RAYtSM4DzUfWg8_gDCSArKVYYkDLIYKHXG-OJYl6yJmac
http://purl.org/nanopub/x/wasCreatedAt
https://platform.sciencelive4all.org
https://w3id.org/sciencelive/np/RAYtSM4DzUfWg8_gDCSArKVYYkDLIYKHXG-OJYl6yJmac
http://www.w3.org/2000/01/rdf-schema#label
Paper annotation: The incorporation of local variables into SDMs at fine grains is key to predict local abundance. SDMs worked out at really fine grains, approaching the average size of territory or home range of target species, are needed to predict local abundance effectively.
https://w3id.org/sciencelive/np/RAYtSM4DzUfWg8_gDCSArKVYYkDLIYKHXG-OJYl6yJmac
https://w3id.org/np/o/ntemplate/wasCreatedFromTemplate
https://w3id.org/np/RA24onqmqTMsraJ7ypYFOuckmNWpo4Zv5gsLqhXt7xYPU
https://w3id.org/sciencelive/np/RAYtSM4DzUfWg8_gDCSArKVYYkDLIYKHXG-OJYl6yJmac/sig
http://purl.org/nanopub/x/hasAlgorithm
RSA
https://w3id.org/sciencelive/np/RAYtSM4DzUfWg8_gDCSArKVYYkDLIYKHXG-OJYl6yJmac/sig
http://purl.org/nanopub/x/hasPublicKey
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
https://w3id.org/sciencelive/np/RAYtSM4DzUfWg8_gDCSArKVYYkDLIYKHXG-OJYl6yJmac/sig
http://purl.org/nanopub/x/hasSignature
RpQ4MPfrATjv0HFquDrgQZpuwZ14FQCcMRtRdZYO6yFfQlhENKa3szeGQj+8h636UwQrO8ExwO8qM0Kmq5VigDKq2uu/BdC5RhCuPUACIhz2pe+bDozHRTSwJ6RCnfWlKCgl8IJvyFgNGeghuPztHQpgFwUadgSMHGnLM7HQPdTtQqsb/whim/R25i/4EwwtNp8tTCbkFLSf9beKZ1gpOe24lW+KbHQgfouLmOdIDnG18l7M1XxmMYJC9IrgjLEMHSqcKQn2usoOeqx8n9ZxH2fGUBGN7+a7KLXwVVf6p6C7LfkjAJ6RcNKorss+vAqbd+33HSHVWGTe8r6iBpKOQ4a/CeNvglOGbOsUAiqsKndCn8MYQtm0wn10LBn6rDc9scifvHsVBYVX/HWn/1Wchhg3Vom/H8ncDA9Ovh1QmgzSqZsGV8AkhIMKDQv2dB/ji+HUzHp+cpTZ7Jz9uahGbrdQc3nwhglqDc+nU0u7JQsZvSOS5SXKPXZp+t0cE81yDtnq8+2v8o3GtObh6kHJJxIB8RejsHQcqottm7h3X/5pChbTvn56dyvxu2M0CqhfTFB31nRoJ+t4DRoKwuw3J7cK97wnBys+Pyg2Qx/pBkD0DsqE/O2aR0whVkVA5yeEe458C4FA5f+yRVjSzvTR5Rzv487vFdk6diV1dCdwbWo=
https://w3id.org/sciencelive/np/RAYtSM4DzUfWg8_gDCSArKVYYkDLIYKHXG-OJYl6yJmac/sig
http://purl.org/nanopub/x/hasSignatureTarget
https://w3id.org/sciencelive/np/RAYtSM4DzUfWg8_gDCSArKVYYkDLIYKHXG-OJYl6yJmac
https://w3id.org/sciencelive/np/RAYtSM4DzUfWg8_gDCSArKVYYkDLIYKHXG-OJYl6yJmac/sig
http://purl.org/nanopub/x/signedBy
https://orcid.org/0000-0002-1784-2920