Landscape connectivity estimates are affected by spatial resolution, habitat seasonality and population trends

Ciudad, Carlos; Mateo‐Sánchez, María C.; Gastón, Aitor; Blázquez‐Cabrera, Sandra; Saura, Santiago

doi:10.1007/s10531-021-02148-0

Cited by 5 publications

(7 citation statements)

References 49 publications

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“…Other variants of these outputs are available as described in the Notebooks A.1 and A.5 in Appendix F I G U R E 3 The flow through each pixel for the movement between two pixels is shown for decreasing values of ∈ 2.5,1.0,0.1,0.01,0.001 , which covers the continuum from nearly optimal to virtually random movements raster-based representations to reduce the number of source and target nodes in the landscape network. Unfortunately, the use of coarser landscape representations may bias the permeability of the landscape to movements (Ciudad et al, 2021) and fail to identify actual movement corridors (Zeller et al, 2017;Anantharaman et al, 2020). The ConScape library allows researchers to analyse landscapes at previously inaccessible resolutions by adopting the open-source, high-level, high-performance, dynamic programming language Julia (Bezanson et al, 2017), usage of efficient algorithms (Kivimäki et al, 2014) and through the implementation of a 'landmark' approach.…”

Section: Discussionmentioning

confidence: 99%

“…However, tackling the challenge of prioritizing where to protect or restore habitat to improve connectivity requires both high‐resolution landscape representations (Zeller et al, 2017) and modelling tools with the computational power to use them. The availability of such high‐resolution landscape representations is increasing rapidly, for instance through remote sensing (Pettorelli et al, 2016), which has brought the opportunities (Ciudad et al, 2021), but also the challenges of ‘large data’ to connectivity modelling (Farley et al, 2018).…”

Section: Introductionmentioning

confidence: 99%

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Accelerating advances in landscape connectivity modelling with the ConScape library

Moorter¹,

Kivimäki

Noack³

et al. 2022

Methods Ecol Evol

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1. Increasingly precise spatial data (e.g. high-resolution imagery from remote sensing) allow for improved representations of the landscape network for assessing the combined effects of habitat loss and connectivity declines on biodiversity. However, evaluating large landscape networks presents a major computational challenge both in terms of working memory and computation time. We present the ConScape (i.e. "connected landscapes") software library implemented in the high-performance open-source Julia language to compute metrics for connected habitat and movement flow on high-resolution landscapes.2. The combination of Julia's 'just-in-time' compiler, efficient algorithms and 'landmarks' to reduce the computational load allows ConScape to compute landscape ecological metrics-originally developed in metapopulation ecology (such as 'metapopulation capacity' and 'probability of connectivity')-for large landscapes. An additional major innovation in ConScape is the adoption of the randomized shortest paths framework to represent connectivity along the continuum from optimal to random movements, instead of only those extremes. We demonstrateConScape's potential for using large datasets in sustainable land planning by modelling landscape connectivity based on remote-sensing data paired with GPS tracking of wild reindeer in Norway. To guide users, we discuss other applications, and provide a series of worked examples to showcase all ConScape's functionalities in Supplementary Material.4. Built by a team of ecologists, network scientists and software developers, ConScape is able to efficiently compute landscape metrics for highresolution landscape representations to leverage the availability of large data for sustainable land use and biodiversity conservation. As a Julia implementation, ConScape combines computational efficiency with a transparent code base, which facilitates continued innovation through contributions

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Accelerating advances in landscape connectivity modelling with the ConScape library

Moorter¹,

Kivimäki

Noack³

et al. 2022

Methods Ecol Evol

View full text Add to dashboard Cite

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“…The majority of the final products have the same temporal resolution (one year), which may be insufficient for analyses requiring a finer temporal resolution (Ciudad et al 2021). Unfortunately, there is no global land cover map with a lower temporal resolution.…”

Section: Temporal Resolutionmentioning

confidence: 99%

“…Land cover maps can be used in various fields of study: habitat connectivity (Ciudad et al 2021), effect of changes in land use (Barik et al 2021), conservation planning (Falcucci et al 2007), climate change (McMenamin et al 2008) and forest monitoring (Rawat and Kumar 2015). Here we consider using land cover maps for estimating land cover of habitats that are potentially suitable for species on a global scale.…”

Section: Introductionmentioning

confidence: 99%

“…The map should have an appropriate spatial resolution. Choosing the appropriate spatial resolution is crucial for evaluating the pattern of potentially suitable habitat, since the final estimate of the extent of suitable habitat is highly dependent on the resolution of the land cover map (Rondinini et al 2011;Ciudad et al 2021). This decision is primarily based on the ecology of the species studied and purpose of the research.…”

Section: Introductionmentioning

confidence: 99%

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A review of global land cover maps in terms of their potential use for habitat suitability modelling

Linyucheva

Kindlmann

2021

European Journal of Environmental Sciences

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Recently, there has been a significant increase in number of land cover maps available to researchers and they are now more commonly used. The broad variety requires some system for determining the differences between maps and for estimating their applicability for specific research purposes. We focused on comparing land cover maps from the point of view of how the land cover categories used characterize potentially suitable habitats for species. This comparison includes only freely available global land cover projects with resolutions from 1 km to 10 m. The criteria chosen were temporal and spatial resolution, number of classes and map precision. To demonstrate the differences, two areas of different sizes were always chosen. Our results reveal that maps can significantly vary in their estimates of different types of land cover, even at the same spatial resolution. Results also revealed that one type of vegetation in this area is poorly recorded in all land cover maps. Copernicus CGLS-LC100 and ESA CCI-LC maps appear to be the most suitable for evaluating potentially suitable habitats.

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Dynamic connectivity assessment for a terrestrial predator in a metropolitan region

Gelmi‐Candusso,

Chin,

Thompson

et al. 2024

Frontiers in Ecol & Environ

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Protecting wildlife movement corridors is critical for species conservation. Urban planning often aims to create corridors for animal movement through conservation initiatives. However, research on connectivity for urban wildlife is limited. Here, we assessed connectivity for coyotes (Canis latrans) dynamically across temporal scales and demographic traits, parametrized using the habitat selection of 27 global positioning system (GPS)‐collared coyotes in the city of Toronto, Canada. The habitat selection models accounted for human population density, impervious area, vegetation density, and distance to different linear features. Results indicated that (1) vegetation‐dense areas were key for connectivity in urban areas; (2) riverbanks, railways, and areas below power lines were predicted as movement corridors; and (3) commercial and industrial clusters strongly disrupted connectivity. Spatiotemporal differences in connectivity were associated with time of day and coyote social status but not with climate and biological seasonality or coyote age and sex. Residential roads were pivotal in the temporal dynamism of connectivity. The maintenance and enhancement of plant structural complexity along key infrastructure (for example, highways, waterways, and parking lots) should be considered when managing connectivity corridors in cities.

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Landscape connectivity estimates are affected by spatial resolution, habitat seasonality and population trends

Cited by 5 publications

References 49 publications

Accelerating advances in landscape connectivity modelling with the ConScape library

Accelerating advances in landscape connectivity modelling with the ConScape library

A review of global land cover maps in terms of their potential use for habitat suitability modelling

Dynamic connectivity assessment for a terrestrial predator in a metropolitan region

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