Reassessment of the extinction risk of endemic species in the Neotropics: How can modelling tools help us?

Kamino, Luciana Hiromi Yoshino; Siqueira, Marinez Ferreira de; Sánchez‐Tapia, Andrea; Stehmann, João Renato

doi:10.4322/natcon.2012.033

Cited by 22 publications

(18 citation statements)

References 18 publications

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“…For instance, D. nigra has only 11 spatially unique records and most of them are in one of the more intensely studied areas in the Amazon (around Manaus). Our results suggest that those areas could be considered priority areas for inventories to find new populations of this species, as has been done in other studies , De Siqueira et al 2009, Kamino et al 2012. A continuous sequence of modelingfield inventory-modeling again is advised for data-deficient species to better understand their distributions and to validate and increase our efficiency in model building (De Siqueira et al 2009).…”

Section: Discussionmentioning

confidence: 73%

Modeling the distribution of a rare Amazonian odonate in relation to future deforestation

et al. 2015

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Section: Discussionmentioning

confidence: 73%

Modeling the distribution of a rare Amazonian odonate in relation to future deforestation

et al. 2015

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“…A, D). These areas may display similar bioclimatic conditions to the known species occurrence area and could be useful for targeting field surveys to improve the discovery of unknown populations (Pearson et al ., ; de Siqueira et al ., ; Kamino et al ., ).…”

Section: Discussionmentioning

confidence: 97%

Genetic diversity and ecological niche modelling of the restrictedRecordia reitzii(Verbenaceae) from southern Brazilian Atlantic forest

et al. 2014

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Genetic diversity analyses, coupled with ecological niche modelling (ENM) of species with a restricted distribution, may provide valuable information for understanding diversification patterns in endangered areas. We analyzed the genetic diversity of Recordia reitzii, a tree restricted to the threatened and highly fragmented Brazilian Atlantic forest, using three intergenic cpDNA spacers and ten microsatellite (SSR) loci. To assess the historical processes that may have influenced the distribution of extant R. reitzii populations, the current potential distributions of R. reitzii and Recordia boliviana, a closely related species, were modelled and projected onto the Last Glacial Maximum (LGM) and Last Interglacial (LIG) periods. Niche divergence was quantified between these two. The cpDNA and SSR data showed a north–south pattern of the diversity distribution and structured populations, suggesting that gene flow is probably limited. According to our data, R. reitzii exhibits low genetic diversity, which may be a result of a founder or distribution‐reduction effect, narrow distribution or small population size. The ecological niche models showed a wider palaeodistribution during the LIG and a retraction during the LGM for both species. Tests of niche divergence and conservatism indicated that bioclimatic factors might have influenced the diversification of these Recordia species. © 2014 The Linnean Society of London, Botanical Journal of the Linnean Society, 2014, 176, 332–348.

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“…The recognition of the environmental conditions and resources that influence the spatial distribution of a particular species can help to characterize potential niches for its survival and reproduction (Kamino et al 2011). In this context, the correlative modeling of potential geographic distributions of species, or species distribution modeling (SDM), has emerged as an important tool for studies of biogeography, evolution and conservation biology (Myers et al 2000, Guisan & Thuiller 2005, Cayuela et al 2009, Kamino et al 2012.…”

Section: Introductionmentioning

confidence: 99%

MODELING THE POTENTIAL DISTRIBUTION OF Anamaria heterophylla (GIUL. & V.C. SOUZA) V.C. SOUZA (PLANTAGINACEAE) IN THE CAATINGA

et al. 2020

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Species distribution modeling (SDM) is a tool with several ecological applications, including predicting biological invasions and indicating environmentally appropriate areas for the occurrence of endemic or endangered species. The Caatinga endemic plant species Anamaria heterophylla (Plantaginaceae) is of rare occurrence and lives in ecologically vulnerable aquatic environments; the species is used as a parameter for the selection of Priority Areas for the Conservation of the Caatinga (PACCs). The objectives of this study were to estimate its potential geographic distribution and the climatic conditions across its distributional range, as well as to identify suitable areas for its occurrence, aiming to evaluate the efficiency of the current Protected Areas (PAs) and PACCs network as to the protection of the species. We developed SDM for A. heterophylla using the MaxEnt algorithm, based on 26 occurrence points, and evaluated the importance of environmental variables and the predictive ability of the generated distribution models. Our results predicted that the distribution of A. heterophylla is tightly guided by conditions of high aridity and low annual precipitation. The potential distribution model indicated three broad areas with high environmental suitability (probability of presence ≥ 0.8): one in the western of the state of Ceará, one between northern Bahia and western Pernambuco states, and another between the central region of the states of Rio Grande do Norte and Paraíba, which overlap in large part the Caatinga regions where temporary ponds (primary habitat of A. heterophylla) are numerous. We found out that nine areas of the PAs and PACCs network of protecting areas presented high environmental suitability, as indicated by the SDM. Based on these findings, we recommend that future collection efforts for A. heterophylla focus on the key locations identified through the SDM, and we hope that this may serve to support future actions regarding the selection of important areas for biodiversity conservation in the Caatinga.

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Reassessment of the extinction risk of endemic species in the Neotropics: How can modelling tools help us?

Cited by 22 publications

References 18 publications

Modeling the distribution of a rare Amazonian odonate in relation to future deforestation

Modeling the distribution of a rare Amazonian odonate in relation to future deforestation

Genetic diversity and ecological niche modelling of the restrictedRecordia reitzii(Verbenaceae) from southern Brazilian Atlantic forest

MODELING THE POTENTIAL DISTRIBUTION OF Anamaria heterophylla (GIUL. & V.C. SOUZA) V.C. SOUZA (PLANTAGINACEAE) IN THE CAATINGA

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