Testing assumptions of cost surface analysis—a tool for invasive species management

Gonzales, Emily K.; Gergel, Sarah E.

doi:10.1007/s10980-007-9106-6

Cited by 52 publications

(39 citation statements)

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“…Landscape connectivity models A series of landscape connectivity models (LCM) were developed using CSS with different resistance values to represent different movement costs (Ray et al 2002;Adriaensen et al 2003;Gonzales and Gergel 2007). The models were based on four assumptions: (1) Occupancy of smaller and more isolated montado patches is influenced by the effective distance to larger montado source areas, and this effect will become evident over time; (2) effective distances are dependent on different land use patterns with different resistance values; (3) roads are not likely to serve as barriers to movement; stone marten are known to cross roads (Grilo et al 2009) and travel along streets in urban areas (Herr et al 2009); and (4) water bodies have a negligible effect on carnivore movements due to their small size and limited number in the study area.…”

Section: Discussionmentioning

confidence: 99%

Do well-connected landscapes promote road-related mortality?

et al. 2010

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Section: Discussionmentioning

confidence: 99%

Do well-connected landscapes promote road-related mortality?

et al. 2010

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“…Estimation of how landscape features are perceived by organisms and influence their willingness to move through a matrix is difficult, yet characterization of landscape resistance is among the most important steps in connectivity analyses as results are sensitive to the underlying resistance surface (Gonzales and Gergel 2007;Trainor et al 2013;Stevenson-Holt et al 2014;Zeller et al 2014;Wade et al 2015). Animals may perceive and respond to landscape features differently depending on their experience in the natal area, internal physiological state, and behavioral phenotype (Bowler and Benton 2005;Stamps 2006;Clobert et al 2009).…”

Section: Modeling Landscape Resistancementioning

confidence: 99%

Circuit theory to estimate natal dispersal routes and functional landscape connectivity for an endangered small mammal

Merrick

Koprowski

2017

Landscape Ecol

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Context Natal dispersal links population dynamics to landscape connectivity. Understanding how organisms perceive barriers to movement, or landscape resistance, during natal dispersal is important to conserve and manage populations threatened by fragmentation and habitat loss. Objectives We aimed to (1) model probability of landscape use by an endangered small mammal (Tamiasciurus hudsonicus grahamensis) in the Pinaleño Mountains, Arizona, USA as a function of forest structure at the population and intra-population level, (2) identify potential natal dispersal pathways between natal and settlement locations based on landscape resistance scenarios, and (3) assess which resistance surface best represented observed exploration, dispersal, and settlement. Methods We modeled probability of habitat use via used and available animal locations. We developed three landscape resistance scenarios to represent individual differences in perceived resistance. We used circuit theory to identify potential long-distance dispersal pathways and to assess which resistance scenario best represented observed forest use and settlement.Results Top probability of forest use models included physical landscape features, forest structure, and burn severity. Composite connectivity models, created from multiple resistance scenarios, identified areas that may promote long distance dispersal movements. Connectivity models developed from only natal focal nodes allowed for assessment of resistance scenarios; a non-linear, negative-exponential relationship between probability of use and resistance best represented observed exploration and settlement. Conclusions Circuit theory is a useful tool to identify potential small mammal movement pathways when high temporal resolution movement data are limited, and for assessing how well resistance scenarios represent observed settlement patterns.

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“…The overall similarity between a pair of maps was calculated as the average similarity statistic over all grid cells. A similarity statistic of 0.7 or higher was judged as good [42].…”

Section: Analysesmentioning

confidence: 99%

Consequences of Uncertainty in Global-Scale Land Cover Maps for Mapping Ecosystem Functions: An Analysis of Pollination Efficiency

Schulp

Alkemade

2011

Remote Sensing

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Abstract:Mapping ecosystem services (ESs) is an important tool for providing the quantitative information necessary for the optimal use and protection of ecosystems and biodiversity. A common mapping approach is to apply established empirical relationships to ecosystem property maps. Often, ecosystem properties that provide services to humanity are strongly related to the land use and land cover, where the spatial allocation of the land cover in the landscape is especially important. Land use and land cover maps are, therefore, essential for ES mapping. However, insight into the uncertainties in land cover maps and how these propagate into ES maps is lacking. To analyze the effects of these uncertainties, we mapped pollination efficiency as an example of an ecosystem function, using two continental-scale land cover maps and two global-scale land cover maps. We compared the outputs with maps based on a detailed national-scale map. The ecosystem properties and functions could be mapped using the GLOBCOVER map with a reasonable to good accuracy. In homogeneous landscapes, an even coarser resolution map would suffice. For mapping ESs that depend on the spatial allocation of land cover in the landscape, a classification of satellite images using fractional land cover or mosaic classes is an asset.

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Testing assumptions of cost surface analysis—a tool for invasive species management

Cited by 52 publications

References 50 publications

Do well-connected landscapes promote road-related mortality?

Do well-connected landscapes promote road-related mortality?

Circuit theory to estimate natal dispersal routes and functional landscape connectivity for an endangered small mammal

Consequences of Uncertainty in Global-Scale Land Cover Maps for Mapping Ecosystem Functions: An Analysis of Pollination Efficiency

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