Environmental variation in ecological communities and inferences from single-species data
Abbott, Karen C. ; Ripa, Jörgen LU
and Ives, Anthony R.
(2009)
In Ecology
90(5).
p.1268-1278
- Abstract
- 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... (More)
- 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. (Less)
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/1426378
- author
- Abbott, Karen C.
; Ripa, Jörgen
LU
and Ives, Anthony R.
- organization
- publishing date
- 2009
- type
- Contribution to journal
- publication status
- published
- subject
- keywords
- time series analysis, dynamics, population, environmental stochasticity, ARMA, community dimension
- in
- Ecology
- volume
- 90
- issue
- 5
- pages
- 1268 - 1278
- publisher
- Ecological Society of America
- external identifiers
-
- wos:000265816200009
- scopus:66149093494
- ISSN
- 0012-9658
- language
- English
- LU publication?
- yes
- id
- bd9de809-9047-46e8-a604-63615da97fd1 (old id 1426378)
- date added to LUP
- 2016-04-01 13:07:39
- date last changed
- 2022-01-27 17:28:44
@article{bd9de809-9047-46e8-a604-63615da97fd1,
abstract = {{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.}},
author = {{Abbott, Karen C. and Ripa, Jörgen and Ives, Anthony R.}},
issn = {{0012-9658}},
keywords = {{time series analysis; dynamics; population; environmental stochasticity; ARMA; community dimension}},
language = {{eng}},
number = {{5}},
pages = {{1268--1278}},
publisher = {{Ecological Society of America}},
series = {{Ecology}},
title = {{Environmental variation in ecological communities and inferences from single-species data}},
volume = {{90}},
year = {{2009}},
}