MEASURING LANDSCAPE CONNECTIVITY: THE CHALLENGE OF BEHAVIORAL LANDSCAPE ECOLOGY

By M. Bélisle. 2005

476 citations recorded by the source corpus.

Subfields: Ecology, Nature and Landscape Conservation

View Paper: https://www.semanticscholar.org/paper/f89cdb3876c90f029479d3cc934d5960f9eac7a6

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In Ecology

In Nature and Landscape Conservation

Citations in the corpus

Connectivity for conservation: a framework to classify network measures. (2011, background): “Including multiple movement routes into connectivity analyses acknowledges that individuals rarely use a single optimal route, due to variability in behavior and perception (Bélisle 2005, Driezen et al. 2007).”
Assessing functional connectivity using empirical data (2008, background): “The framework proposed by Belisle (2005) can naturally be applied to a continuous landscape, and, as described above, by equating functional connectivity with travel costs landscape ecologists would benefit from a stronger theoretical framework of behavioral ecology to assess landscape connectivit”
A range-wide model of landscape connectivity and conservation for the jaguar, Panthera onca (2010, background): “We sought to quantify the potential difficulty, or ease, with which jaguars could move across any given landscape within jaguar range in a permeability matrix (Bélisle, 2005; McRae, 2006).”
A species-centered approach for uncovering generalities in organism responses to habitat loss and fragmentation (2014, unknown): “…of landscape fragmentation have strong parallels in the concept of ‘ functional connectivity ’ – the degree to which the landscape facilitates or impedes movement among resource patches (Taylor et al. 1993), which is also a species-speciﬁ c construct (Tischendorf and Fahrig 2000, Belisle 2005).”
How well do we understand landscape effects on pollinators and pollination services (2012, background): “The relationship between landscape structure and pollinator survival and behavioural responses is a very complex subject that has only recently begun to be revealed (Bélisle 2005).”
Non‐optimal animal movement in human‐altered landscapes (2007, unknown): “2004; Belisle 2005; Hernandez & Laundre 2005).”
Modelling long‐distance seed dispersal in heterogeneous landscapes (2008, unknown): “When a frugivore defecates a seed at a location away from the parent plant the seed has been dispersed, whereas when an animal moves between two areas, the animal may or may not have dispersed (Belisle 2005; Van Dyck & Baguette 2005; Conradt & Roper 2006; Schtickzelle et al. 2007).”
Plant functional connectivity – integrating landscape structure and effective dispersal (2017, unknown): “…is affected by more than landscape structure, external factors such as behaviour of individuals and species interactions have only rarely been considered as components of functional connectivity (B (cid:1) elisle 2005; Betts et al. 2015a), and these factors are largely speci ﬁ c to animals.”
Corridors for Conservation: Integrating Pattern and Process (2006, background): “Moreover, high movement rates in corridors may not correlate with the functional connectivity of a landscape (Bélisle 2005).”
Landscape connectivity and animal behavior: functional grain as a key determinant for dispersal (2007, unknown): “It is therefore essential that the most precise landscape connectivity estimates take into account this variation (see also Belisle 2005).”
Graph models of habitat mosaics. (2009, background): “…(e.g. McDonough & Paton 2007) or field experiments that allow animals to choose among cover types and so quantify resistances (Ovaskainen 2004; Belisle 2005), and genetic data (Cushman et al. 2006; Arens et al. 2007; McRae & Beier 2007) or isotopic analysis (Cook et al. 2007), which can…”