The geography and ecology of plant speciation: range overlap and niche divergence in sister species

Anacker, Brian L.; Strauss, Sharon Y.

doi:10.1098/rspb.2013.2980

Cited by 249 publications

(303 citation statements)

References 93 publications

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“…genetic drift, mutations) or by divergent selection [2,25]. Longer periods of isolation are expected to increase ecological differentiation/divergence [26,27], and this has been demonstrated in several taxa [28,29].…”

Section: Introductionmentioning

confidence: 99%

Identifying cryptic diversity with predictive phylogeography

et al. 2016

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Identifying units of biological diversity is a major goal of organismal biology. An increasing literature has focused on the importance of cryptic diversity, defined as the presence of deeply diverged lineages within a single species. While most discoveries of cryptic lineages proceed on a taxon-by-taxon basis, rapid assessments of biodiversity are needed to inform conservation policy and decision-making. Here, we introduce a predictive framework for phylogeography that allows rapidly identifying cryptic diversity. Our approach proceeds by collecting environmental, taxonomic and genetic data from codistributed taxa with known phylogeographic histories. We define these taxa as a reference set, and categorize them as either harbouring or lacking cryptic diversity. We then build a random forest classifier that allows us to predict which other taxa endemic to the same biome are likely to contain cryptic diversity. We apply this framework to data from two sets of disjunct ecosystems known to harbour taxa with cryptic diversity: the mesic temperate forests of the Pacific Northwest of North America and the arid lands of Southwestern North America. The predictive approach presented here is accurate, with prediction accuracies placed between 65% and 98.79% depending of the ecosystem. This seems to indicate that our method can be successfully used to address ecosystemlevel questions about cryptic diversity. Further, our application for the prediction of the cryptic/non-cryptic nature of unknown species is easily applicable and provides results that agree with recent discoveries from those systems. Our results demonstrate that the transition of phylogeography from a descriptive to a predictive discipline is possible and effective.

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Section: Introductionmentioning

confidence: 99%

Identifying cryptic diversity with predictive phylogeography

et al. 2016

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“…Other approaches to reconstructing geographic modes of speciation, such as the proportion of sympatric sister species (e.g. (Phillimore et al 2008, Schnitzler et al 2011, Anacker and Strauss 2014, Cardillo and Warren 2016 , Cardillo & Warren 2016), are based only on shallow phylogenetic divergences and may be more sensitive to changes in overlap patterns that result from accounting for habitat loss in SDMs.…”

Section: Discussionmentioning

confidence: 99%

“…Age-Range Correlation, for example, is based upon analysis of the overlap in species' distributions with respect to their divergence times (e.g. (Phillimore et al 2008, Schnitzler et al 2011, Anacker and Strauss 2014, Cardillo and Warren 2016 . In our analysis, we found that SDM models accounting for habitat loss increased the estimated degree of overlap among species, but did not appreciably alter the intercept or slope of the ARC.…”

Section: Discussionmentioning

confidence: 99%

“…For example, estimates of overlap in species distributions are used to infer the geographic mode of speciation (e.g. Anacker andStrauss 2014, Cardillo andWarren 2016) , and infer the strength of interspecific competition (e.g. Davies et al 2007) ; present-day distributions mapped onto phylogenies are used to infer ancestral distributions and reconstruct the biogeographic history of clades (Matzke 2013, Quintero et al 2015 ; and the geographic patterns of species diversity or turnover in community composition are calculated from the conjunction of species distributions in different areas (Orme et al 2005, Buckley andJetz 2008) .…”

Section: Introductionmentioning

confidence: 99%

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Habitat loss is information loss: Species distribution models are compromised in anthropogenic landscapes

Dinnage

Cardillo

2018

Preprint

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Species distribution models (SDMs) are valuable tools to estimate species' distributions, but are vulnerable to biases in the probability of a species being observed. One such bias is habitat loss, which has affected a substantial and increasing proportion of the Earth. In regions of severe habitat loss, data on a species' occurrence may represent a small, non-random subset of sites it once occupied. This could cause distorted reconstructions of species distributions, and misleading inferences of evolutionary and ecological processes. We present a statistical approach for quantifying the influence on SDMs of habitat loss, and generating distribution predictions that are robust to these biases. We explored some of the effects of accounting for habitat loss on inferences from common downstream biogeographic and ecological analysis methods.We used herbarium record data to model the distribution of 325 plant species in the genera Banksia and Hakea across Australia, using point process models. We accounted for biases in the models by including a proxy variable representing habitat loss, and compared the fit of models without this variable to those with it.

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“…Mudanças estruturais são esperadas em redes ecológicas a partir de eventos de especiação porque processos de diversificação de espécies modificam de forma simultânea múltiplos atributos do ambiente biótico (Schluter 2000;Nosil 2012). De fato, a reorganização das interações ecológicas nas espécies emergentes frequentemente modificará a amplitude e sobreposição de suas dimensões bióticas do nicho (Anacker & Strauss 2014), uma vez que a divergência adaptativa em traços mediadores de interações ecológicas possibilita a coexistência das espécies irmãs (Schluter 2000).…”

Section: Especiação Reorganização Do Nicho E Estabilidadeunclassified

A seleção natural e a estrutura, dinâmica e diversificação de assembleias de espécies mutualistas

Raimundo¹

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The geography and ecology of plant speciation: range overlap and niche divergence in sister species

Cited by 249 publications

References 93 publications

Identifying cryptic diversity with predictive phylogeography

Identifying cryptic diversity with predictive phylogeography

Habitat loss is information loss: Species distribution models are compromised in anthropogenic landscapes

A seleção natural e a estrutura, dinâmica e diversificação de assembleias de espécies mutualistas

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