Optimal Stopover Model: a state dependent habitat selection model for staging passerines

Author(s):  
Adi Domer ◽  
Ehud Vinepinsky ◽  
Amos Bouskila ◽  
Eyal Shochat ◽  
Ofer Ovadia
2019 ◽  
Vol 397 ◽  
pp. 84-94 ◽  
Author(s):  
Heather K. Stricker ◽  
Thomas M. Gehring ◽  
Deahn Donner ◽  
Tyler Petroelje

2021 ◽  
Author(s):  
Quinn M.R. Webber ◽  
Christina M. Prokopenko ◽  
Katrien A. Kingdon ◽  
Eric Vander Wal

AbstractMovement links the distribution of habitats with the social environment of animals using those habitats; yet integrating movement, habitat selection, and socioecology remains an opportunity. Here, our objective was to disentangle the roles of habitat selection and social association as drivers of collective movement in a gregarious ungulate. To accomplish this objective, we (1) assessed whether socially familiar individuals form discrete social communities and whether social communities have high spatial, but not necessarily temporal, overlap and (2) modelled the relationship between collective movement and selection of foraging habitats using socially informed integrated step selection analysis. Based on assignment of individuals to social communities and home range overlap analyses, individuals assorted into discrete social communities and these communities had high spatial overlap. By unifying social network analysis with movement ecology, we identified state-dependent social association, where individuals were less cohesive when foraging, but were cohesive when moving collectively between foraging patches. Our study demonstrates that social behaviour and space use are inter-related based on spatial overlap of social communities and state-dependent habitat selection. Movement, habitat selection, and social behaviour are linked in theory. Here, we put these concepts into practice to demonstrate that movement is the glue connecting individual habitat selection to the social environment.


Ecology ◽  
2005 ◽  
Vol 86 (5) ◽  
pp. 1199-1205 ◽  
Author(s):  
Jonathan R. Rhodes ◽  
Clive A. McAlpine ◽  
Daniel Lunney ◽  
Hugh P. Possingham

2021 ◽  
Vol 13 (21) ◽  
pp. 4397
Author(s):  
Jinya Li ◽  
Yang Zhang ◽  
Lina Zhao ◽  
Wanquan Deng ◽  
Fawen Qian ◽  
...  

Clarifying species-environment relationships is crucial for the development of efficient conservation and restoration strategies. However, this work is often complicated by a lack of detailed information on species distribution and habitat features and tends to ignore the impact of scale and landscape features. Here, we tracked 11 Oriental White Storks (Ciconia boyciana) with GPS loggers during their wintering period at Poyang Lake and divided the tracking data into two parts (foraging and roosting states) according to the distribution of activity over the course of a day. Then, a three-step multiscale and multistate approach was employed to model habitat selection characteristics: (1) first, we minimized the search range of the scale for these two states based on daily movement characteristics; (2) second, we identified the optimized scale of each candidate variable; and (3) third, we fit a multiscale, multivariable habitat selection model in relation to natural features, human disturbance and especially landscape composition and configuration. Our findings reveal that habitat selection of the storks varied with spatial scale and that these scaling relationships were not consistent across different habitat requirements (foraging or roosting) and environmental features. Landscape configuration was a more powerful predictor for storks’ foraging habitat selection, while roosting was more sensitive to landscape composition. Incorporating high-precision spatiotemporal satellite tracking data and landscape features derived from satellite images from the same periods into a multiscale habitat selection model can greatly improve the understanding of species-environmental relationships and guide efficient recovery planning and legislation.


2012 ◽  
Vol 4 (3) ◽  
pp. 1-32 ◽  
Author(s):  
Hervé Le Bihan ◽  
Jérémi Montornès ◽  
Thomas Heckel

Using an original micro-dataset from France, we investigate nominal wage stickiness. Nominal wage changes are found to occur at a quarterly frequency of around 38 percent over our sample period, and to be to a large extent staggered across establishments, and very synchronized within establishments. We carry out an econometric analysis of wage changes based on a two-threshold sample selection model. Our results are that the timing of wage adjustments is time-dependent as opposed to state-dependent, there is evidence of predetermination in wage changes, and both backward and forward-looking behavior is relevant in wage setting. (JEL E24, E52, J31)


2016 ◽  
Vol 62 (3-4) ◽  
pp. 162-170 ◽  
Author(s):  
Allison E. Bannister ◽  
Douglas W. Morris

We use theories of risk allocation to inform trade-offs between foraging in a rich and risky habitat versus using a poor but safe alternative. Recent advances in the theory predict that the length of exposure to good or bad conditions governs risk allocation, and thus habitat choice, when patterns of environmental risk are autocorrelated in time. We investigate the effects of these factors with controlled experiments on a small soil arthropod (Folsomia candida). We subjected animals to nine temporally autocorrelated 16-day feeding treatments varying in both the proportion (0.25, 0.50, and 0.75) and duration (short, medium and long intervals) of time when food was present and absent. We assessed foraging trade-offs by the animals' choice of occupying a risky dry habitat with food (rich) versus a safe moist habitat with no food (poor). Irrespective of autocorrelation in conditions, the proportion of time spent with no food primarily determined habitat selection by these collembolans. Our results imply an energetic threshold below which F. candida are forced to forage in rich and risky habitat despite the possibility of mortality through desiccation. The link to energetic thresholds suggests the possibility of employing state-dependent habitat selection as a leading indicator of habitat change.


Author(s):  
Simona Picardi ◽  
Peter Coates ◽  
Jesse Kolar ◽  
Shawn O’Neil ◽  
Steven Mathews ◽  
...  

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