One size does not fit all: Priority areas for real world problems
Mayra Pimenta,
André Felipe Alves de Andrade,
Fernando Hiago Souza Fernandes,
Mayra Pereira de Melo Amboni,
Renata Silva Almeida,
Ana Hermínia Simões de Bello Soares,
Guth Berger Falcon,
Daniel Santana Lorenzo Raíces and
Paulo De Marco Júnior
Ecological Modelling, 2022, vol. 470, issue C
Abstract:
Recently, much effort has been expended to improve Species Distribution Models (SDMs), particularly for use in systematic conservation planning, as they affect the arrangement and effectiveness of spatial prioritization. Protocol definition to create SMDs is a real and complex problem faced to protect threatened environments in large megadiverse areas, such as the Amazon basin. We compare spatial prioritizations based on different protocols to generate general and specific models of multiple taxa. While in general protocols we use only bioclimatic variables, in specific protocols we also added different environmental variables that are more appropriate to the sets of related species. Our results show greater precision and less commission error in the final models adjusted with specific protocols, especially for aquatic species with the inclusion of hydrological variables. We also demonstrate that modeling choices can play an important role in determining the priority of a region, with prioritization of different areas depending on the models adjusted based on general and specific protocols. We argue that niche models for multi-taxon prioritization studies should be more efficient when based on choices that capture the ecological requirements of different taxonomic groups.
Keywords: Species distribution models; Systematic conservation planning; Commission errors; Multitaxon approach; Hydrological variable (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations:
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0304380022001247
Full text for ScienceDirect subscribers only
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:eee:ecomod:v:470:y:2022:i:c:s0304380022001247
DOI: 10.1016/j.ecolmodel.2022.110013
Access Statistics for this article
Ecological Modelling is currently edited by Brian D. Fath
More articles in Ecological Modelling from Elsevier
Bibliographic data for series maintained by Catherine Liu ().