Match!

Integrating multiple data sources to fit matrix population models for interacting species

Published on 2019in Ecological Modelling2.63
· DOI :10.1016/j.ecolmodel.2019.06.001
Frédéric Barraquand11
Estimated H-index: 11
,
Olivier Gimenez39
Estimated H-index: 39
Abstract
Inferring interactions between populations of different species is a challenging statistical endeavour, which requires a large amount of data. There is therefore some incentive to combine all available sources of data into a single analysis to do so. In demography and single-population studies, Integrated Population Models combine population counts, capture-recapture and reproduction data to fit matrix population models. Here, we extend this approach to the community level in a stage-structured predator-prey context. We develop Integrated Community Models (ICMs), implemented in a Bayesian framework, to fit multispecies nonlinear matrix models to multiple data sources. We assessed the value of the different sources of data using simulations of ICMs under different scenarios contrasting data availability. We found that combining all data types (capture-recapture, counts, and reproduction) allows the estimation of both demographic and interaction parameters, unlike count-only data which typically generate high bias and low precision in interaction parameter estimates for short time series. Moreover, reproduction surveys informed the estimation of interactions particularly well when compared to capture-recapture programs, and have the advantage of being less costly. Overall, ICMs offer an accurate representation of stage structure in community dynamics, and foster the development of efficient observational study designs to monitor communities in the field.
  • References (0)
  • Citations (0)
References0
Newest
#1Tuomas Rajala (UCL: University College London)H-Index: 4
#2Sofia C. Olhede (UCL: University College London)H-Index: 18
Last.David J. Murrell (UCL: University College London)H-Index: 17
view all 0 authors...
#1Judy P. Che-Castaldo (Lincoln Park Zoo)H-Index: 1
#2Christian Che-Castaldo (SBU: Stony Brook University)H-Index: 4
Last.Maile C. Neel (UMD: University of Maryland, College Park)H-Index: 21
view all 3 authors...
#1Grégoire Certain (University of Montpellier)H-Index: 1
#2Frédéric Barraquand (University of Bordeaux)H-Index: 2
Last.Anna Gårdmark (SLU: Swedish University of Agricultural Sciences)H-Index: 19
view all 3 authors...
#1Sarah P. Saunders (MSU: Michigan State University)H-Index: 9
#2Francesca J. Cuthbert (UMN: University of Minnesota)H-Index: 23
Last.Elise F. Zipkin (MSU: Michigan State University)H-Index: 21
view all 3 authors...
#1Charles J. Krebs (UBC: University of British Columbia)H-Index: 69
#2Rudy Boonstra (U of T: University of Toronto)H-Index: 50
Last.Stan Boutin (U of A: University of Alberta)H-Index: 64
view all 3 authors...
#1Frédéric Barraquand (University of Bordeaux)H-Index: 11
#2Stilianos Louca (UBC: University of British Columbia)H-Index: 10
Last.Frank M. HilkerH-Index: 21
view all 16 authors...
Cited By0
Newest
View next paperIntegrating multiple data sources to fit matrix population models for interacting species