2019
DOI: 10.1002/ecy.2622
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Joint species movement modeling: how do traits influence movements?

Abstract: Joint species distribution modeling has enabled researchers to move from species‐level to community‐level analyses, leading to statistically more efficient and ecologically more informative use of data. Here, we propose joint species movement modeling (JSMM) as an analogous approach that enables inferring both species‐ and community‐level movement parameters from multispecies movement data. The species‐level movement parameters are modeled as a function of species traits and phylogenetic relationships, allowin… Show more

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Cited by 24 publications
(11 citation statements)
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“…Movement ability within a fragmented landscape can be influenced by a species' behavioural responses to habitat boundaries (Jain et al, 2020;Kallioniemi et al, 2014;Lucey & Hill, 2012), the physical costs of movement (Bonte et al, 2012) and the permeability of the matrix (Ewers & Didham, 2006;Scriven et al, 2017). Furthermore, species-specific life-history traits can impact movement (Ovaskainen et al, 2019). Species most vulnerable to fragmentation are forestdependent taxa (i.e.…”
Section: Introductionmentioning
confidence: 99%
See 1 more Smart Citation
“…Movement ability within a fragmented landscape can be influenced by a species' behavioural responses to habitat boundaries (Jain et al, 2020;Kallioniemi et al, 2014;Lucey & Hill, 2012), the physical costs of movement (Bonte et al, 2012) and the permeability of the matrix (Ewers & Didham, 2006;Scriven et al, 2017). Furthermore, species-specific life-history traits can impact movement (Ovaskainen et al, 2019). Species most vulnerable to fragmentation are forestdependent taxa (i.e.…”
Section: Introductionmentioning
confidence: 99%
“…We used mark-release-recapture (MRR) methods, a common technique for the study of insect movement (Gray et al, 2019b;Hanski, 1999;Lewis et al, 1997;Slade et al, 2013) and the newly developed Joint Species Movement Modelling approach (JSMM- Ovaskainen et al, 2019). JSMM allows both species-and communitylevel movement parameters to be estimated simultaneously.…”
Section: Introductionmentioning
confidence: 99%
“…To address these limitations, we would suggest the exploration of a multi species modeling approach, where dispersal models are fit to data from a group of species at once, with the models' parameters allowed to vary across species as random effects or based on the values of specific traits. Similar methods have been applied in the animal movement literature (Ovaskainen et al 2019) for the joint movement modeling of bird species.…”
Section: Discussionmentioning
confidence: 99%
“…Another field of great importance is to better understand population dynamics of agricultural pest species and outbreak dynamics (Battisti & Larsson, 2015). One challenge associated with forecasting pest impacts in agricultural landscapes is to link key traits with variables of importance for dispersal, population growth, dynamics and persistence (Ovaskainen et al, 2019;Terblanche, Karsten, Mitchell, Barton, & Gilbert, 2015).…”
mentioning
confidence: 99%