scholarly journals Reusing Old and Producing New Data Is Useful for Species Delimitation in the Taxonomically Controversial Iberian Endemic Pair Petrocoptis montsicciana/P. pardoi (Caryophyllaceae)

Diversity ◽  
2021 ◽  
Vol 13 (5) ◽  
pp. 205
Author(s):  
Neus Nualart ◽  
Sonia Herrando-Moraira ◽  
Eduardo Cires ◽  
Moisès Guardiola ◽  
Emilio Laguna ◽  
...  
Keyword(s):  
Genetic Structure ◽  
Species Delimitation ◽  
Ecological Niche ◽  
Ecological Niche Modeling ◽  
Regional Climate ◽  
Principal Component ◽  
Future Research ◽  
Niche Differences ◽  
Background Climate ◽  
Species Occurrences

Petrocoptis montsicciana and P. pardoi are two Iberian endemic taxa of Caryophyllaceae family with an unclear taxonomic delimitation, being variously treated as independent species, subspecies or even synonyms. In the present study, allozyme raw data obtained in the early 2000s have been reused with improved tools to survey genetic structure, and complemented with modeling and niche comparative analyses to shed light on species delimitation. Genetic structure was investigated using four approaches: Bayesian clustering, Monmonier’s algorithm, Principal Coordinate Analysis (PCoA), and Analysis of Molecular Variance (AMOVA). Ecological niche differences have been assessed through Ecological Niche Modeling (ENM) using MaxEnt, and Principal Component Analysis using both occurrence records and background climate (PCA-env). Genetic analysis confirms the distinction between both taxa, and the scenario of a progenitor–derivative (P–D) is suggested. In agreement with genetic data, niche analysis shows clear differences between their climate regarding species occurrences and background spaces. Climate divergence could be explained, at least partially, by the abundance of rocks where species live although differences at the microclimate instead of the regional climate should be explored in future research. Given the genetic distinction between P. montsicciana and P. pardoi, both taxa should be regarded as separate ‘Management Units’ (MUs).

Species’ Invasions

2011 ◽  
Author(s):  
A. Townsend Peterson ◽  
Jorge Soberón ◽  
Richard G. Pearson ◽  
Robert P. Anderson ◽  
Enrique Martínez-Meyer ◽  
...  
Keyword(s):  
Ecological Niche ◽  
Ecological Niche Modeling ◽  
Biotic Interactions ◽  
Niche Modeling ◽  
Future Research ◽  
Ecological Niche Models ◽  
Species Invasions ◽  
Future Research Directions ◽  
Native And Introduced Ranges ◽  
Niche Models

This chapter discusses the use of ecological niche modeling to study species invasions, and more specifically to identify and understand genuine exceptions to ecological niche equivalency between native and introduced ranges of species. In addition, it examines the degree to which the geographic course of species’ invasions can be anticipated based on scenopoetic variables and biotic interactions. The chapter also reviews practical considerations that must be taken into account when exploring the utility of ecological niche models in understanding species’ invasions, such as using niche conservatism to predict likely changes in the distributional potential of invasive species under scenarios of changing environmental conditions. Finally, it describes caveats and limitations of the approach and outlines future research directions and challenges involved in the application of niche modeling ideas in species invasions.

PaleoENM: applying ecological niche modeling to the fossil record

Paleobiology ◽  
2015 ◽  
Vol 41 (2) ◽  
pp. 226-244 ◽  
Author(s):  
Corinne E. Myers ◽  
Alycia L. Stigall ◽  
Bruce S. Lieberman
Keyword(s):  
Best Practices ◽  
Fossil Record ◽  
Ecological Niche ◽  
Ecological Niche Modeling ◽  
Niche Modeling ◽  
Data Sets ◽  
Species Occurrence ◽  
Deep Time ◽  
Environmental Suitability ◽  
Species Occurrences

AbstractEcological niche modeling (ENM) is a quantitative approach to predict species’ abiotic requirements. It is a correlative technique, requiring geographically explicit information on species occurrences and the suites of environmental conditions experienced at each occurrence point. The output of these models is a set of environmental suitability rules that can be projected geographically and through time to test biogeographic, ecologic, and evolutionary hypotheses. Although developed by biologists and used extensively in the modern, ENM is in its early stages of application to the deep-time fossil record (hence PaleoENM). In part its limited use in the fossil record thus far reflects the methodological challenge of constructing paleoenvironmental layers needed for PaleoENM analysis, whereas in the modern these layers are available from large public databases (e.g., WorldClim). This paper provides a contextual and methodological framework for appropriately applying PaleoENM, including best practices for developing species occurrence and paleoenvironmental data sets for PaleoENM analyses.

Ecological niche modeling and principal component analysis of Krameria Loefl. (Krameriaceae)

2011 ◽  
Vol 75 (9) ◽  
pp. 870-872 ◽  
Author(s):  
T.C. Giannini ◽  
A. Takahasi ◽  
M.C.M.P. Medeiros ◽  
A.M. Saraiva ◽  
I. Alves-dos-Santos
Keyword(s):  
Principal Component Analysis ◽  
Ecological Niche ◽  
Ecological Niche Modeling ◽  
Principal Component ◽  
Component Analysis ◽  
Niche Modeling

scholarly journals Combining Bayesian genetic clustering and ecological niche modeling: Insights into wolf intraspecific genetic structure

2018 ◽  
Vol 8 (22) ◽  
pp. 11224-11234 ◽  
Author(s):  
Pietro Milanesi ◽  
Romolo Caniglia ◽  
Elena Fabbri ◽  
Felice Puopolo ◽  
Marco Galaverni ◽  
...  
Keyword(s):  
Genetic Structure ◽  
Ecological Niche ◽  
Ecological Niche Modeling ◽  
Niche Modeling ◽  
Genetic Clustering

scholarly journals Geographic drivers of diversification in loliginid squids with an emphasis on the western Atlantic species

2020 ◽  
Author(s):  
Gabrielle Genty ◽  
Carlos J Pardo-De la Hoz ◽  
Paola Montoya ◽  
Elena A. Ritschard
Keyword(s):  
Species Delimitation ◽  
Ecological Niche ◽  
Ecological Niche Modeling ◽  
Phylogenetic Analyses ◽  
Marine Organisms ◽  
Habitat Characteristics ◽  
Suitable Habitat ◽  
Adjacent Area ◽  
Western Atlantic ◽  
Southwestern Atlantic Ocean

ABSTRACTAimIdentifying the mechanisms driving divergence in marine organisms is challenging as opportunities for allopatric isolation are less conspicuous than in terrestrial ecosystems. Here, we aim to estimate a dated phylogeny of the squid family Loliginidae, and perform ecological niche analyses to explore biogeographic and evolutionary patterns giving rise to extant lineages in this group, with particular focus on cryptic species with population structure along the western Atlantic coast.LocationWorld-wide.TaxonClass Cephalopoda, Family LoliginidaeMethodsWe used three loci to infer gene trees and perform species delimitation analysis to detect putative cryptic speciation events. We then estimated a dated species tree under the Bayesian multispecies coalescent and used it to reconstruct ancestral distributions based on the currently known ranges of the species. Also, we tested the hypothesis of niche divergence in three recently diverged species subpopulations of the northwestern and southwestern Atlantic Ocean by ecological niche modeling and niche overlap measurement from occurrence data.ResultsThe phylogenetic analyses confirmed the monophyly for the current twenty-six species of the Loliginidae family. Our ancestral area reconstruction and divergence estimation revealed the origin and geographical dispersal of loliginid lineages. Additionally, the phylogenetic analysis and the species delimitation analysis supported geographic structure within D. pleii, D. pealeii and L. brevis. The ecological niche models revealed unsuitable habitat in the immediately adjacent area of the Amazonian Orinoco Plume, yet suitable habitat characteristics beyond this area.Main conclusionsOur study allowed us to confirm the monophyly of all currently recognized species within the Loliginidae family and we corroborate the biogeographical origin being the Indo-Pacific region in the Cretaceous. We found a possible new cryptic lineage and show evidence of the Amazon-Orinoco Plume as an ecological barrier, which influenced the diversification of this particular group of marine organisms.

Analysis of the geographical distribution of Psammolestes Bergroth (Hemiptera: Heteroptera: Reduviidae: Triatominae) in South America, with new records of Psammolestes tertius Lent & Jurberg

Zootaxa ◽  
2009 ◽  
Vol 2033 (1) ◽  
pp. 41-48 ◽  
Author(s):  
RODRIGO GURGEL-GONÇALVES ◽  
REINALDA BANDEIRA SILVA
Keyword(s):  
South America ◽  
Geographical Distribution ◽  
Ecological Niche ◽  
Ecological Niche Modeling ◽  
New Records ◽  
Climatic Factors ◽  
Niche Modeling ◽  
Niche Differences ◽  
Rule Set ◽  
Venezuelan Llanos

The genus Psammolestes is comprised of three recognized Rhodniini species: P. arthuri, P. coreodes, and P. tertius. The geographical distribution of these triatomines in South America was analyzed using ecological niche modeling. Additionally, temperature, precipitation, and altitude limits for these species were estimated. The genetic algorithm for rule-set production (GARP) was applied to predict their geographical distribution. The models used were able to predict, with high probabilities, the occurrence of P. tertius in open woodlands of South America (mainly Cerrado and Caatinga ecoregions), making it the Psammolestes species with the widest distribution. P. arthuri presented a discontinuous potential distribution covering the Venezuelan Llanos and southeastern/southwestern fringes of Amazonia. P. coreodes presented the southernmost area of distribution, occurring mainly in the Argentinean Chaco. The models also support potential areas of co-occurrence for P. tertius and P. coreodes in southwestern Brazil. Clear ecological niche differences were observed for the three species: while P. arthuri occurred in warm and humid areas, P. coreodes occupied the driest and coldest areas. P. tertius presented intermediate climatological limits and occurred in the highest altitudes. Although climatic factors may determine the triatomine distribution, biotic factors, such as the association with thornbirds (Phacellodomus), may also influence the geographical distribution of Psammolestes species. Finally, this study confirms the usefulness of ecological niche modeling as a tool for studies on biogeographical aspects of triatomines.

scholarly journals Ecological niche modeling as an effective tool to predict the distribution of freshwater organisms: The case of the Sabaleta Brycon henni (Eigenmann, 1913)

PLoS ONE ◽  
2021 ◽  
Vol 16 (3) ◽  
pp. e0247876
Author(s):  
Daniel Valencia-Rodríguez ◽  
Luz Jiménez-Segura ◽  
Carlos A. Rogéliz ◽  
Juan L. Parra
Keyword(s):  
Minimum Temperature ◽  
Ecological Niche ◽  
Potential Distribution ◽  
Ecological Niche Modeling ◽  
Predictive Accuracy ◽  
National Level ◽  
Ecological Niche Models ◽  
Precipitation Seasonality ◽  
Bioclimatic Variables ◽  
Species Occurrences

Ecological niche models (ENMs) aim to recreate the relationships between species and the environments where they occur and allow us to identify unexplored areas in geography where these species might be present. These models have been successfully used in terrestrial organisms but their application in aquatic organisms is still scarce. Recent advances in the availability of species occurrences and environmental information particular to aquatic systems allow the evaluation of these models. This study aims to characterize the niche of the Sabaleta Brycon henni Eigenmann 1913, an endemic fish of the Colombian Andes, using ENMs to predict its geographical distribution across the Magdalena Basin. For this purpose, we used a set of environmental variables specific to freshwater systems in addition to the customary bioclimatic variables, and species’ occurrence data to model its potential distribution using the Maximum Entropy algorithm (MaxEnt). We evaluate the relative importance between these two sets of variables, the model’s performance, and its geographic overlap with the IUCN map. Both on-site (annual precipitation, minimum temperature of coldest month) and upstream variables (open waters, average minimum temperature of the coldest month and average precipitation seasonality) were included in the models with the highest predictive accuracy. With an area under the curve of 90%, 99% of the species occurrences and 68% of absences correctly predicted, our results support the good performance of ENMs to predict the potential distribution of the Sabaleta and the utility of this tool in conservation and decision-making at the national level.

Sign in / Sign up

Export Citation Format

Share Document