Integrated modelling of functional and structural connectivity of river corridors for European otter recovery

Looy, Kris Van; Piffady, Jérémy; Cavillon, C.; Tormos, T.; Landry, Philippe; Souchon, Yves

doi:10.1016/j.ecolmodel.2013.11.010

Cited by 35 publications

(23 citation statements)

References 66 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…This is in contrast to the restrictive cases where movement is considered to be symmetrical around an activity centre and therefore can be measured in Euclidean distance (Raabe & Gardner ), or the dendritic network approach where distance along the stream is often the focus (Fagan ; Grant ; Van Looy et al . ). As a motivating example, consider otters (Van Looy et al .…”

Section: Methodsmentioning

confidence: 97%

“…As a motivating example, consider otters (Van Looy et al . ) that move in and around river networks and not strictly along the water.…”

Section: Methodsmentioning

confidence: 99%

“…The focus on a riparian species in a river network provides a general, and biologically appealing, setting whereby movement has an association with the structure of the landscape. This is in contrast to the restrictive cases where movement is considered to be symmetrical around an activity centre and therefore can be measured in Euclidean distance (Raabe & Gardner 2013), or the dendritic network approach where distance along the stream is often the focus (Fagan 2002;Grant 2011;Van Looy et al 2014). As a motivating example, consider otters (Van Looy et al 2014) that move in and around river networks and not strictly along the water.…”

Section: S I M U L a T I O N S T U D Y : A R I P A R I A N H A B I T mentioning

confidence: 99%

See 2 more Smart Citations

Modelling non‐Euclidean movement and landscape connectivity in highly structured ecological networks

Sutherland

Fuller

Royle³

2014

Methods Ecol Evol

118

195

View full text Add to dashboard Cite

Summary1. Movement is influenced by landscape structure, configuration and geometry, but measuring distance as perceived by animals poses technical and logistical challenges. Instead, movement is typically measured using Euclidean distance, irrespective of location or landscape structure, or is based on arbitrary cost surfaces. A recently proposed extension of spatial capture-recapture (SCR) models resolves this issue using spatial encounter histories of individuals to calculate least-cost paths (ecological distance: Ecology, 94, 2013, 287) thereby relaxing the Euclidean assumption. We evaluate the consequences of not accounting for movement heterogeneity when estimating abundance in highly structured landscapes, and demonstrate the value of this approach for estimating biologically realistic space-use patterns and landscape connectivity. 2. We simulated SCR data in a riparian habitat network, using the ecological distance model under a range of scenarios where space-use in and around the landscape was increasingly associated with water (i.e. increasingly less Euclidean). To assess the influence of miscalculating distance on estimates of population size, we compared the results from the ecological and Euclidean distance based models. We then demonstrate that the ecological distance model can be used to estimate home range geometry when space use is not symmetrical. Finally, we provide a method for calculating landscape connectivity based on modelled species-landscape interactions generated from capture-recapture data. 3. Using ecological distance always produced unbiased estimates of abundance. Explicitly modelling the strength of the species-landscape interaction provided a direct measure of landscape connectivity and better characterised true home range geometry. Abundance under the Euclidean distance model was increasingly (negatively) biased as space use was more strongly associated with water and, because home ranges are assumed to be symmetrical, produced poor characterisations of home range geometry and no information about landscape connectivity. 4. The ecological distance SCR model uses spatially indexed capture-recapture data to estimate how activity patterns are influenced by landscape structure. As well as reducing bias in estimates of abundance, this approach provides biologically realistic representations of home range geometry, and direct information about specieslandscape interactions. The incorporation of both structural (landscape) and functional (movement) components of connectivity provides a direct measure of species-specific landscape connectivity.

show abstract

Section: Methodsmentioning

confidence: 97%

“…As a motivating example, consider otters (Van Looy et al . ) that move in and around river networks and not strictly along the water.…”

Section: Methodsmentioning

confidence: 99%

Section: S I M U L a T I O N S T U D Y : A R I P A R I A N H A B I T mentioning

confidence: 99%

See 1 more Smart Citation

Modelling non‐Euclidean movement and landscape connectivity in highly structured ecological networks

Sutherland

Fuller

Royle³

2014

Methods Ecol Evol

118

195

View full text Add to dashboard Cite

show abstract

“…Padgham and Webb, 2010;Perkin et al, 2013), or focused on process-oriented findings rather than management actions (e.g. Jaeger et al, 2014;van Looy et al, 2014a). We then synthesized a common set of barrier prioritization steps based on a qualitative review of these analyses.…”

Section: A Procedures For Connectivity Barrier Prioritizationmentioning

confidence: 99%

Informing Watershed Connectivity Barrier Prioritization Decisions: A Synthesis

McKay

Cooper

Diebel

et al. 2016

River Research & Apps

View full text Add to dashboard Cite

Water resources and transportation infrastructure such as dams and culverts provide countless socio‐economic benefits; however, this infrastructure can also disconnect the movement of organisms, sediment, and water through river ecosystems. Trade‐offs associated with these competing costs and benefits occur globally, with applications in barrier addition (e.g. dam and road construction), reengineering (e.g. culvert repair), and removal (e.g. dam removal and aging infrastructure). Barrier prioritization provides a unique opportunity to: (i) restore and reconnect potentially large habitat patches quickly and effectively and (ii) avoid impacts prior to occurrence in line with the mitigation hierarchy (i.e. avoid then minimize then mitigate). This paper synthesizes 46 watershed‐scale barrier planning studies and presents a procedure to guide barrier prioritization associated with connectivity for aquatic organisms. We focus on practical issues informing prioritization studies such as available data sets, methods, techniques, and tools. We conclude with a discussion of emerging trends and issues in barrier prioritization and key opportunities for enhancing the body of knowledge. Copyright © 2016 John Wiley & Sons, Ltd.

show abstract

“…The integration of hydrological information, geomorphology data, and vegetation mapping could improve our understanding of connectivity in river systems (Stevaux et al 2013). Also, the integration of data at multiple scales is of fundamental importance to understanding connectivity in river networks at large scales (Arancibia-Arce et al 2013, Van Looy et al 2014. This is often determined by the species being studied and the availability of the biological and ecological data (e.g.…”

Section: Landscape Ecology For Conserving Tropical Floodplain Ecosystemsmentioning

confidence: 99%

Floodplain fish communities in river systems in Bolivia: Current knowledge and addressing future research challenges

Puelles

2016

Ecología en Bolivia

View full text Add to dashboard Cite

Integrated modelling of functional and structural connectivity of river corridors for European otter recovery

Cited by 35 publications

References 66 publications

Modelling non‐Euclidean movement and landscape connectivity in highly structured ecological networks

Modelling non‐Euclidean movement and landscape connectivity in highly structured ecological networks

Informing Watershed Connectivity Barrier Prioritization Decisions: A Synthesis

Floodplain fish communities in river systems in Bolivia: Current knowledge and addressing future research challenges

Contact Info

Product

Resources

About