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dc.contributor.author | Cárdenas, S | |
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dc.contributor.author | Sandoval, EHV | |
dc.contributor.author | Arevalo, FR | |
dc.contributor.author | Huamantupa-Chuquimaco, I | |
dc.contributor.author | Garcia-Cabrera, K | |
dc.contributor.author | Hernandez, L | |
dc.contributor.author | Gamarra, LV | |
dc.contributor.author | Alexiades, MN | |
dc.contributor.author | Pansini, S | |
dc.contributor.author | Cuenca, WP | |
dc.contributor.author | Milliken, W | |
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dc.contributor.author | Lopez-Gonzalez, G | |
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dc.contributor.author | Ter Steege, H | |
dc.date.accessioned | 2018-02-23T14:27:17Z | |
dc.date.issued | 2018-01-17 | |
dc.description.abstract | Species distribution models (SDMs) are widely used in ecology and conservation. Presence-only SDMs such as MaxEnt frequently use natural history collections (NHCs) as occurrence data, given their huge numbers and accessibility. NHCs are often spatially biased which may generate inaccuracies in SDMs. Here, we test how the distribution of NHCs and MaxEnt predictions relates to a spatial abundance model, based on a large plot dataset for Amazonian tree species, using inverse distance weighting (IDW). We also propose a new pipeline to deal with inconsistencies in NHCs and to limit the area of occupancy of the species. We found a significant but weak positive relationship between the distribution of NHCs and IDW for 66% of the species. The relationship between SDMs and IDW was also significant but weakly positive for 95% of the species, and sensitivity for both analyses was high. Furthermore, the pipeline removed half of the NHCs records. Presence-only SDM applications should consider this limitation, especially for large biodiversity assessments projects, when they are automatically generated without subsequent checking. Our pipeline provides a conservative estimate of a species' area of occupancy, within an area slightly larger than its extent of occurrence, compatible to e.g. IUCN red list assessments. | en_GB |
dc.description.sponsorship | V. H. F. Gomes, H. ter Steege and R. P. Salomão are supported by grant 407232/2013-3 -PVE - MEC/MCTI/CAPES/CNPq/FAPs. | en_GB |
dc.identifier.citation | Vol. 8: 1003 | en_GB |
dc.identifier.doi | 10.1038/s41598-017-18927-1 | |
dc.identifier.uri | http://hdl.handle.net/10871/31635 | |
dc.language.iso | en | en_GB |
dc.publisher | Nature Publishing Group | en_GB |
dc.relation.source | Supplementary information accompanies this paper at https://doi.org/10.1038/s41598-017-18927-1. | en_GB |
dc.relation.url | https://www.ncbi.nlm.nih.gov/pubmed/29343741 | en_GB |
dc.rights | This article is licensed under a Creative Commons Attribution 4.0 International
License, which permits use, sharing, adaptation, distribution and reproduction in any medium or
format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative
Commons license, and indicate if changes were made. Te images or other third party material in this
article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the
material. If material is not included in the article’s Creative Commons license and your intended use is not permitted
by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the
copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
© The Author(s) 2018 | en_GB |
dc.title | Species distribution modelling: contrasting presence-only models with plot abundance data | en_GB |
dc.type | Article | en_GB |
dc.date.available | 2018-02-23T14:27:17Z | |
dc.identifier.issn | 2045-2322 | |
exeter.place-of-publication | England | en_GB |
dc.description | This is the final version of the article. Available from the publisher via the DOI in this record. | en_GB |
dc.identifier.journal | Scientific Reports | en_GB |