Integrating presence-only and presence-absence data to model changes in species geographic ranges: An example in the Neotropics
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60460709%3A41330%2F23%3A97838" target="_blank" >RIV/60460709:41330/23:97838 - isvavai.cz</a>
Result on the web
<a href="https://doi.org/10.1111/jbi.14622" target="_blank" >https://doi.org/10.1111/jbi.14622</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1111/jbi.14622" target="_blank" >10.1111/jbi.14622</a>
Alternative languages
Result language
angličtina
Original language name
Integrating presence-only and presence-absence data to model changes in species geographic ranges: An example in the Neotropics
Original language description
Aim: Anthropogenic changes such as land use and climate change affect species' geographic ranges, causing range shifts, contractions, or expansions. However, data on range dynamics are insufficient, heterogeneous, and spatially and temporally biased in most regions. Integrated species distribution models (IDMs) offer a solution as they can complement good quality presence--absence data with opportunistically collected presence--only data, simultaneously accounting for heterogeneous sampling effort. However, these methods have seen limited use in the estimation of temporal change of geographic ranges and are not yet widespread as they have a steep learning curve. Here we present a generalisable model and case example. Location: Neotropics --Latin America. Taxon: Herpailurus yagouaroundi. Methods: Using data on presence--absence and presence--only on the jaguarundi (Herpailurus yagouaroundi), we modelled the species distribution at two time periods (2000--2013 and 2014--2021) using a Bayesian model based on Poisson point process in JAGS. Our model integrates the different data types while accounting for varying sampling effort and spatial effect. We predicted the species range at the two time periods and quantified their changes. Results: Between the two time periods, the jaguarundi has contracted its southern and northern range limits towards the equator but expanded its area of distribution over the entire species' range. Also, our results show that modelled geographic range, of either time period, is not entirely consistent with the current expert range map from IUCN. Main Conclusions: Our modelling approach provides a working example with the potential to address data gaps and biases in other taxa and regions. Given the increasing number of incidental data being generated by community--derived initiatives in Latin America, IDMs can become a valuable source for species distribution modelling in the region. This is the first application of the IDM approach with temporal dimension and over the entire species' geographic range.
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
10511 - Environmental sciences (social aspects to be 5.7)
Result continuities
Project
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Continuities
R - Projekt Ramcoveho programu EK
Others
Publication year
2023
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Journal of Biogeography
ISSN
0305-0270
e-ISSN
0305-0270
Volume of the periodical
50
Issue of the periodical within the volume
9
Country of publishing house
GB - UNITED KINGDOM
Number of pages
15
Pages from-to
1561-1575
UT code for WoS article
000975270500001
EID of the result in the Scopus database
2-s2.0-85153513714