Spatial Partitioning of Environmental Correlates of Avian Biodiversity in the Conterminous United States

O’Connor, Raymond J.; Jones, Malcolm T; White, Denis; Hunsaker, Carolyn T.; Loveland, Tom; Jones, Bruce D.; Preston, Eric M.

doi:10.2307/2999723

Cited by 74 publications

(60 citation statements)

References 34 publications

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“…O'Connor et al (1996) extracted a set of 1223 BBS routes that that were representative of the coterminous United States and that had frequent and high quality surveys over the period [1981][1982][1983][1984][1985][1986][1987][1988][1989][1990]. Incidence data, or the proportion of routes with the species present, are typically correlated with abundance (Hanski 1992) and were available for each route and species.…”

Section: Methodsmentioning

confidence: 99%

Potential effects of climate change on birds of the Northeast

Rodenhouse

Matthews

McFarland³

et al. 2007

Mitig Adapt Strateg Glob Change

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We used three approaches to assess potential effects of climate change on birds of the Northeast. First, we created distribution and abundance models for common bird species using climate, elevation, and tree species variables and modeled how bird distributions might change as habitats shift. Second, we assessed potential effects on high-elevation birds, especially Bicknell's thrush (Catharus bicknelli), that may be particularly vulnerable to climate change, by using statistical associations between climate, spruce-fir forest vegetation and bird survey data. Last, we complemented these projections with an assessment of how habitat quality of a migratory songbird, the black-throated blue warbler (Dendroica caerulescens) might be affected by climate change. Large changes in bird communities of the Northeast are likely to result from climate change, and these changes will be most dramatic under a scenario of continued high emissions. Indeed, high-elevation bird species may currently be at the threshold of critical change with as little as 1°C warming reducing suitable habitat by more than half. Species at mid elevations are likely to experience declines in habitat quality that could affect demography. Although not all species will be affected adversely, some of the Northeast's iconic species, such as common loon and black-capped chickadee, and some of its most abundant species, including several neotropical migrants, are projected to decline significantly in abundance under all climate change scenarios. No clear mitigation strategies are apparent, as shifts in species' abundances and ranges will occur across all habitat types and for species with widely differing ecologies.

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Section: Methodsmentioning

confidence: 99%

Potential effects of climate change on birds of the Northeast

Rodenhouse

Matthews

McFarland³

et al. 2007

Mitig Adapt Strateg Glob Change

View full text Add to dashboard Cite

show abstract

“…The relative neglect of interaction terms in recent vegetation modelling is a current limitation to progressing beyond a one-dimensional theory of vegetation composition. The apparent power of CART techniques (Austin et al, 1995;O'Connor et al, 1996;Iverson and Pasad, 1998;Franklin, 1998) to detect interactions is only one example of the need for new strategies for predictive habitat modelling if they are to address ecological theory as well as predicting species distributions for immediate practical conservation purposes.…”

Section: Estimation Of Environmental Predictorsmentioning

confidence: 99%

Spatial prediction of species distribution: an interface between ecological theory and statistical modelling

Austin¹

2002

Ecological Modelling

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1,269

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Neglect of ecological knowledge is a limiting factor in the use of statistical modelling to predict species distribution. Three components are needed for statistical modelling, an ecological model concerning the ecological theory to be used or tested, a data model concerning the collection and measurement of the data, and a statistical model concerning the statistical theory and methods used. This component framework is reviewed with emphasis on ecological theory. The expected shape of a species response curve to an environmental gradient is a central assumption on which agreement has yet to be reached. The nature of the environmental predictors whether indirect variables, e.g. latitude that have no physiological impact on plants, or direct variables, e.g. temperature also influence the type of response expected. Straight-line relationships between organisms and environment are often used uncritically. Many users of canonical correlation analysis use linear (straight-line) functions to relate ordination axes to variables such as slope and aspect though this is not a necessary part of the method. Some statisticians have used straight lines for species/environment relationships without testing, when evaluating new statistical procedures. Assumptions used in one component often conflict with those in another component. Statistical models can be used to explore ecological theory. Skewed species response curves predominate contrary to the symmetric unimodal curves assumed by some statistical methods. Improvements in statistical modelling can be achieved based on ecological concepts. Examples include incorporating interspecific competition from dominant species; more proximal predictors based on water balance models and spatial autocorrelation procedures to accommodate non-equilibrium vegetation. #

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“…The literature is replete with studies showing that species richness is correlated with habitat heterogeneity and complexity at local, regional, and continental scales (e.g., MacArthur 1964;Verner and Larson 1989;O'Connor et al 1996;Wiebe and Martin 1998;Ricklefs and Lovette 1999;Boone and Krohn 2000b). Moreover, many studies have provided insight into the way heterogeneity might cause changes in species richness by influencing the presence or abundance (Verboom et al 1991;Villard et al 1995), movements (Wegner and Merriam 1979;Machtans et al 1996), and persistence (Hanski et al 1994) of species.…”

mentioning

confidence: 99%