Environmental variation in ecological communities and inferences from single-species data

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Environmental variation in ecological communities and inferences from single-species data. / Abbott, Karen C.; Ripa, Jörgen; Ives, Anthony R.

In: Ecology, Vol. 90, No. 5, 2009, p. 1268-1278.

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Abbott, Karen C. ; Ripa, Jörgen ; Ives, Anthony R. / Environmental variation in ecological communities and inferences from single-species data. In: Ecology. 2009 ; Vol. 90, No. 5. pp. 1268-1278.

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TY - JOUR

T1 - Environmental variation in ecological communities and inferences from single-species data

AU - Abbott, Karen C.

AU - Ripa, Jörgen

AU - Ives, Anthony R.

PY - 2009

Y1 - 2009

N2 - Data are often collected for a single species within an ecological community, so quantitative tools for drawing inferences about the unobserved portions of the community from single-species data are valuable. In this paper, we present and examine a method for estimating community dimension (the number of strongly interacting species or groups) from time series data on a single species. The dynamics of one species can be strongly affected by environmental stochasticity acting not only on itself, but also on other species with which it interacts. By fully accounting for the effects of stochasticity on populations embedded in a community, our approach gives better estimates of community dimension than commonly used methods. Using a combination of time series data and simulations, we show that failing to properly account for stochasticity when attempting to relate population dynamics to attributes of the community can give misleading information about community dimension.

AB - Data are often collected for a single species within an ecological community, so quantitative tools for drawing inferences about the unobserved portions of the community from single-species data are valuable. In this paper, we present and examine a method for estimating community dimension (the number of strongly interacting species or groups) from time series data on a single species. The dynamics of one species can be strongly affected by environmental stochasticity acting not only on itself, but also on other species with which it interacts. By fully accounting for the effects of stochasticity on populations embedded in a community, our approach gives better estimates of community dimension than commonly used methods. Using a combination of time series data and simulations, we show that failing to properly account for stochasticity when attempting to relate population dynamics to attributes of the community can give misleading information about community dimension.

KW - time series analysis

KW - dynamics

KW - population

KW - environmental stochasticity

KW - ARMA

KW - community dimension

M3 - Article

VL - 90

SP - 1268

EP - 1278

JO - Ecology

JF - Ecology

SN - 0012-9658

IS - 5

ER -