Species abundance distributions: moving beyond single prediction theories to integration within an ecological framework

McGill, Brian J.; Etienne, Rampal S.; Gray, John S.; Alonso, David; Anderson, Marti J.; Benecha, Habtamu; Dornelas, María; Enquist, Brian J.; Green, Jessica L.; He, Fangliang; Hurlbert, Allen H.; Magurran, Anne E.; Marquet, Pablo A.; Maurer, Bill; Ostling, Annette; Soykan, Candan U.; Ugland, Karl I.; White, Ethan

doi:10.1111/j.1461-0248.2007.01094.x

Cited by 1,194 publications

(1,410 citation statements)

References 182 publications

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“…Según Preston (1962), las especies de abundancia intermedia pueden ser especialmente útiles como indicadores diferenciales de la adaptación al nicho. Este tipo de preguntas resultan relevantes especialmente en los bosques tropicales donde muy pocas especies están representadas por un alto porcentaje de individuos (Pitman et al 2001), mientras la mayoría de ellas tienden generalmente a ser localmente raras (He et al 1996;Condit et al 2000;He et al 2002;McGill et al 2007;Zillio y Condit 2007).…”

Section: Introductionunclassified

Variación florística de especies arbóreas a escala local en un bosque de tierra firme en la Amazonia colombiana

et al. 2010

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El presente estudio se llevó a cabo en cinco hectáreas de una parcela permanente establecida en el Parque Nacional Amacayacu, Amazonia colombiana. En éste, se evaluó el efecto de la variación ambiental y la configuración espacial sobre los patrones florísticos de las especies arbóreas (DAP>10 cm) a escala local en un bosque de tierra firme. Se estudió la variación florística y ambiental en cuadrantes de 20x20 m. Adicionalmente, se consideraron diferentes categorías de abundancia (total, alta, media y baja). Se utilizó el Análisis de Correspondencia Linealizado y el Análisis de Correspondencia Canónica, seguido de una partición de la variación, para cuantificar la magnitud a la cual el ambiente y la limitación en dispersión determinan la variación florística. La fracción espacial, representando procesos de autocorrelación como la limitación en dispersión, se analizó mediante dos métodos: Asumiendo un polinomio de tercer grado y por el método de Coordenadas Principales de Matrices Vecinas (PCNM). La diversidad beta de la parcela fue baja. El PCNM aparece como el método de análisis más apropiado para estudios a esta escala. Las diferencias florísticas explicadas a lo largo de la parcela de 5-ha fueron principalmente asociadas con procesos biológicos como la limitación en dispersión. La mayor parte de la variación florística, no obstante, no fue explicada por las variables ambientales o espaciales consideradas. En conclusión, estos resultados sugieren que procesos aleatorios son determinantes esenciales de la variación espacial de las especies arbóreas a escala local en tierra firme en los bosques en el Parque Nacional Amacayacu.

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Section: Introductionunclassified

Variación florística de especies arbóreas a escala local en un bosque de tierra firme en la Amazonia colombiana

et al. 2010

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“…Most of them showed a small amount of road-kill events and, consequently, a low road-kill rate; yet this quantity may represent a relevant impact for these species. This small abundance of road-kill for most species may indicates: 1) the abundance distribution pattern: many rare species and a few common species, showing a hollow curve or hyperbolic shape on a histogram (McGill et al, 2007); 2) species rarely killed by vehicles avoid roads (Jaeger et al, 2005;McGregor et al, 2008;Rosa and Bager, 2013); or, 3) sampling bias for small vertebrates, that is, small vertebrates are less detectable and thus, underestimated in road-kill sample (Teixeira et al, 2013). Neither hypothesis was intended to be tested in this study, but we encourage other researchers to create field experiments to test these hypotheses in tropical ecosystems.…”

Section: Dependent Variablesmentioning

confidence: 99%

Habitat or matrix: which is more relevant to predict road-kill of vertebrates?

2015

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We believe that in tropics we need a community approach to evaluate road impacts on wildlife, and thus, suggest mitigation measures for groups of species instead a focal-species approach. Understanding which landscape characteristics indicate road-kill events may also provide models that can be applied in other regions. We intend to evaluate if habitat or matrix is more relevant to predict road-kill events for a group of species. Our hypothesis is: more permeable matrix is the most relevant factor to explain road-kill events. To test this hypothesis, we chose vertebrates as the studied assemblage and a highway crossing in an Atlantic Forest region in southeastern Brazil as the study site. Logistic regression models were designed using presence/absence of road-kill events as dependent variables and landscape characteristics as independent variables, which were selected by Akaike's Information Criterion. We considered a set of candidate models containing four types of simple regression models: Habitat effect model; Matrix types effect models; Highway effect model; and, Reference models (intercept and buffer distance). Almost three hundred road-kills and 70 species were recorded. River proximity and herbaceous vegetation cover, both matrix effect models, were associated to most road-killed vertebrate groups. Matrix was more relevant than habitat to predict road-kill of vertebrates. The association between river proximity and road-kill indicates that rivers may be a preferential route for most species. We discuss multi-species mitigation measures and implications to movement ecology and conservation strategies.Keywords: connectivity, conservation, landscape ecology, rivers, road ecology.Habitat ou matriz: qual é mais relevante para prever atropelamentos de vertebrados? ResumoNós acreditamos que nos trópicos, precisamos de uma abordagem de comunidade para avaliar os impactos das estradas sobre a vida silvestre, e então, sugerir medidas de mitigação para grupos de espécies ao invés da abordagem de espécie-foco. Compreender quais características da paisagem indicam eventos de atropelamento podem também fornecer modelos que podem ser aplicados em outras regiões. Nós pretendemos avaliar se habitat ou matriz é mais relevante para prever eventos de atropelamento para grupos de espécies. Nossa hipótese é: matriz mais permeável é o fator mais relevante para explicar os eventos de atropelamentos. Para testar essa hipótese, escolhemos vertebrados como a assembléia estudada e uma rodovia cruzando uma região de Mata Atlântica no sudeste do Brasil como área de estudo. Modelos de regressão logística foram criados usando presença/ausência de eventos de atropelamentos como variáveis dependentes e características da paisagem como variáveis independentes, os quais foram selecionados pelo Critério de Informação de Akaike. Nós consideramos um conjunto de modelos candidatos contendo quatro tipos de modelos de regressão simples: modelo de efeito de habitat; modelos de efeito de tipos de matriz; modelo de efeito da rodovia; e, mode...

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“…By contrast, there is good empirical evidence that most tropical tree species show intraspecific aggregation [16 -18] and that species-rich communities contain usually many rare and a few common species [5,19].…”

Section: Introductionmentioning

confidence: 99%

Testing the independent species’ arrangement assertion made by theories of stochastic geometry of biodiversity

et al. 2012

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The assertion that the spatial location of different species is independent of each other is fundamental in major ecological theories such as neutral theory that describes a stochastic geometry of biodiversity. However, this assertion has rarely been tested. Here we use techniques of spatial point pattern analysis to conduct a comprehensive test of the independence assertion by analysing data from three large forest plots with different species richness: a species-rich tropical forest at Barro Colorado Island (Panama), a tropical forest in Sinharaja (Sri Lanka), and a temperate forest in Changbaishan (China). We hypothesize that stochastic dilution effects owing to increasing species richness overpower signals of species associations, thereby yielding approximate species independence. Indeed, the proportion of species pairs showing: (i) no significant interspecific association increased with species richness, (ii) segregation decreased with species richness, and (iii) small-scale interspecific interaction decreased with species richness. This suggests that independence may indeed be a good approximation in the limit of very species-rich communities. Our findings are a step towards a better understanding of factors governing species-rich communities and we propose a hypothesis to explain why species placement in species-rich communities approximates independence.

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Species abundance distributions: moving beyond single prediction theories to integration within an ecological framework

Cited by 1,194 publications

References 182 publications

Variación florística de especies arbóreas a escala local en un bosque de tierra firme en la Amazonia colombiana

Variación florística de especies arbóreas a escala local en un bosque de tierra firme en la Amazonia colombiana

Habitat or matrix: which is more relevant to predict road-kill of vertebrates?

Testing the independent species’ arrangement assertion made by theories of stochastic geometry of biodiversity

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