Cited by 148Wildlife-Road Interactions and ConservationWildlife Ecology and ConservationSpecies Distribution and Climate Change

The DOI matches its Crossref record; 22 of the 23 references it cites were found in a registry or an index; none of the 8 sources its claims cite is checked for support yet.

The Effect of Map Boundary on Estimates of Landscape Resistance to Animal Movement

Open access

Abstract

BACKGROUND: Artificial boundaries on a map occur when the map extent does not cover the entire area of study; edges on the map do not exist on the ground. These artificial boundaries might bias the results of animal dispersal models by creating artificial barriers to movement for model organisms where there are no barriers for real organisms. Here, we characterize the effects of artificial boundaries on calculations of landscape resistance to movement using circuit theory. We then propose and test a solution to artificially inflated resistance values whereby we place a buffer around the artificial boundary as a substitute for the true, but unknown, habitat. METHODOLOGY/PRINCIPAL FINDINGS: We randomly assigned landscape resistance values to map cells in the buffer in proportion to their occurrence in the known map area. We used circuit theory to estimate landscape resistance to organism movement and gene flow, and compared the output across several scenarios: a habitat-quality map with artificial boundaries and no buffer, a map with a buffer composed of randomized habitat quality data, and a map with a buffer composed of the true habitat quality data. We tested the sensitivity of the randomized buffer to the possibility that the composition of the real but unknown buffer is biased toward high or low quality. We found that artificial boundaries result in an overestimate of landscape resistance. CONCLUSIONS/SIGNIFICANCE: Artificial map boundaries overestimate resistance values. We recommend the use of a buffer composed of randomized habitat data as a solution to this problem. We found that resistance estimated using the randomized buffer did not differ from estimates using the real data, even when the composition of the real data was varied. Our results may be relevant to those interested in employing Circuitscape software in landscape connectivity and landscape genetics studies.

Overview

AI snapshot

Written from the paper’s full text.

TL;DR

Artificial map boundaries inflate landscape resistance estimates from circuit theory, and adding a buffer around the boundary reduces this bias. A buffer of randomized habitat data performed similarly to a buffer of true habitat data, even when the true buffer was biased toward low or high quality.

Key findings

  • Resistance was overestimated with no buffer relative to a real-data buffer for sites in both the inner core (Cohen’s d = 1.50) and outer core (d = 0.90).
  • Resistance estimates using a randomized buffer did not differ from estimates using a real-data buffer for inner-core sites (d = 0.13) or outer-core sites (d = 0.002).
  • No-buffer maps also overestimated resistance relative to low-biased buffers (inner d = 0.75; outer d = 0.84) and high-biased buffers (inner d = 0.90; outer d = 0.90).
  • Randomized-buffer estimates remained close to low-biased buffers (inner d = 0.28; outer d = 0.37) and high-biased buffers (inner d = 0.15; outer d = 0.23).

Methods

  • The authors used circuit theory via CIRCUITSCAPE 3.5 on a forest resource inventory map of Ontario, Canada, reclassified for American marten (*Martes americana*) habitat quality from 1 (low) to 3 (high).
  • They used 5 replicate 10,000-km² plots, each with a 2,500-km² core and a 25-km buffer; pixels were 0.0625 km² (160,000 pixels per plot). They estimated resistance between source and destination sites 10 km apart, with 10 random pairs in each inner and outer core per plot (n = 100 pairs), then pooled data over plots for comparisons (n = 50).
  • They compared five scenarios—no buffer, real buffer, randomized buffer, low-biased buffer, and high-biased buffer—using Cohen’s d for paired comparisons, interpreting d = 0.2 as small, 0.5 as medium, and 0.8 as large.

Limitations

  • Stated in the paper: the results are based on a relatively simple plot design with a direct path between sites and no barriers or narrow habitat passages; artificial boundaries may have a greater effect in more complex landscapes.
  • Stated in the paper: buffer width and composition are project-specific and may be arbitrary when habitat quality beyond the map is unknown; Circuitscape memory limitations may restrict grids larger than six million cells.
  • Stated in the paper: future work is needed on the sensitivity of circuit theory to varying levels of landscape connectivity; the study used simulated data and effect sizes rather than test statistics.

Model-written summary. Check it against the paper before relying on it.

Integrity signals

Registry

Crossref · 10.1371/journal.pone.0011785

Cites

22 of 22 references verified0 citation errors · 0 not checkable

Statistics

Nothing to recompute.

Figures

Figure 1 A map of Ontario, Canada. Dark grey depicts where detailed land-cover data exist in the province (forest resource inventory [FRI]). The boundaries of the dark grey area are “artificial” (except where bounded by water [light grey]), in that these boundaries exist because of a lack of data outside of the dark grey area; on the ground, habitat continues beyond these edges (white area). The inset map shows Wabakimi Provincial Park in Ontario (black outline), where we do not have FRI data but we know that the area contains suitable habitat. Models of gene flow across this region would attribute unrealistically high resistance to the habitat between the lake and the Park, while real organisms on the ground would be able to traverse the Park and surrounding habitat. Outlines of the 5 plots are shown.
Figure 1 A map of Ontario, Canada. Dark grey depicts where detailed land-cover data exist in the province (forest resource inventory [FRI]). The boundaries of the dark grey area are “artificial” (except where bounded by water [light grey]), in that these boundaries exist because of a lack of data outside of the dark grey area; on the ground, habitat continues beyond these edges (white area). The inset map shows Wabakimi Provincial Park in Ontario (black outline), where we do not have FRI data but we know that the area contains suitable habitat. Models of gene flow across this region would attribute unrealistically high resistance to the habitat between the lake and the Park, while real organisms on the ground would be able to traverse the Park and surrounding habitat. Outlines of the 5 plots are shown.CC BY · PubMed Central
Figure 2 Dimensions of the plots. The core area includes both the outer core (grey) and the inner core (white).
Figure 2 Dimensions of the plots. The core area includes both the outer core (grey) and the inner core (white).CC BY · PubMed Central
Figure 3 An example of one plot, showing the composition of suitable habitat for each scenario. a) a plot with habitat quality data in the core only (artificial boundary); b) a buffer around the core area composed of the true habitat quality data; c) a buffer composed of randomized habitat quality data; d) a buffer composed of true data that is biased toward low-quality; and e) a buffer composed of true data that is biased toward high-quality. Map pixels were 250-m by 250-m and all buffers were 25-km wide.
Figure 3 An example of one plot, showing the composition of suitable habitat for each scenario. a) a plot with habitat quality data in the core only (artificial boundary); b) a buffer around the core area composed of the true habitat quality data; c) a buffer composed of randomized habitat quality data; d) a buffer composed of true data that is biased toward low-quality; and e) a buffer composed of true data that is biased toward high-quality. Map pixels were 250-m by 250-m and all buffers were 25-km wide.CC BY · PubMed Central
Figure 4 An example of the current between two randomly selected sites in the interior core. a) a plot with habitat data for the core only (artificial boundary); b) a buffer around the core area composed of the true habitat data; c) a buffer composed of randomized habitat data; d) a buffer composed of true data that is biased toward low quality; and e) a buffer composed of true data that is biased toward high quality. Estimates of current were generated using Circuitscape software [19] for the landscape depicted in Figure 3.
Figure 4 An example of the current between two randomly selected sites in the interior core. a) a plot with habitat data for the core only (artificial boundary); b) a buffer around the core area composed of the true habitat data; c) a buffer composed of randomized habitat data; d) a buffer composed of true data that is biased toward low quality; and e) a buffer composed of true data that is biased toward high quality. Estimates of current were generated using Circuitscape software [19] for the landscape depicted in Figure 3.CC BY · PubMed Central
Figure 5 An example of the current between two randomly selected sites in the outer core. a) a plot with habitat data in the core only (artificial boundary); b) a buffer around the core area composed of the true habitat data; c) a buffer composed of randomized habitat data; d) a buffer composed of true data that is biased toward low quality; and e) a buffer composed of true data that is biased toward high quality. Estimates of current were generated using Circuitscape software [19] for the landscape depicted in Figure 3.
Figure 5 An example of the current between two randomly selected sites in the outer core. a) a plot with habitat data in the core only (artificial boundary); b) a buffer around the core area composed of the true habitat data; c) a buffer composed of randomized habitat data; d) a buffer composed of true data that is biased toward low quality; and e) a buffer composed of true data that is biased toward high quality. Estimates of current were generated using Circuitscape software [19] for the landscape depicted in Figure 3.CC BY · PubMed Central

Verification

Claims the paper makes

8 Own interpretation · 6 Own result · 2 No full text of the sources · 1 No basis given

Show all 12 claims

  • It may state two separate claims as one. 3
  • Probably not a substantial claim. 2
5 of 5
  • The paper relies on this without support.

    The outcome of the simulation is not species or landscape specific.

    “The species of interest and area of study that we used for our simulation is irrelevant however, as we did not expect the outcome to be either species or landscape specific.”
  • The authors state this as an assumption.

    The true habitat composition beyond the map boundaries is unknown.

    “This buffer was a substitute for the true data in scenario 2 (assuming the true data were unknown).”
2 of 2

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Citations

Cites

Show all 23 references

Research works printed but not linked: 1

  1. J Cohen, 1988, Statistical power analysis for the behavioral sciences, 2nd edition.

Cited by

Sorted by citations

See all 148

Metadata

Authors
Koen, E. L., Garroway, C. J., Wilson, P. J., & Bowman, J.
Affiliations
  • Trent University (CA)
  • Ministry of Natural Resources and Forestry (CA)
Corresponding author
Koen, Erin L.
Venue
PLoS ONE
Published
2010-07-26
Volume
5
Issue
7
Pages
e11785
ISSN
1932-6203 (ISSN-L)
OpenAlex
W2167189097
Cited by
148
References
23
Citations by year
2026: 7 · 2025: 13 · 2024: 8 · 2023: 18 · 2022: 9 · 2021: 9 · 2020: 13 · 2019: 7 · 2018: 6 · 2017: 17 · 2016: 10 · 2015: 11 · 2014: 6 · 2013: 5 · 2012: 5
FWCI
3.72
Type
journal article
Language
en
Open access
Locations
  • PLoS ONE (publishedVersion, cc-by)
  • PubMed Central (publishedVersion, cc-by)
  • PubMed (publishedVersion)
  • RePEc: Research Papers in Economics (submittedVersion)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
Funders
Natural Sciences and Engineering Research Council of Canada
Topics
  • Physical Sciences › Environmental Science › Ecology › Wildlife-Road Interactions and Conservation
  • Physical Sciences › Environmental Science › Ecology › Wildlife Ecology and Conservation
  • Physical Sciences › Environmental Science › Ecological Modeling › Species Distribution and Climate Change
Keywords
circuit theory, Circuitscape, gene flow, animal dispersal, buffer zones, habitat quality, landscape connectivity, landscape genetics
MeSH terms
Animals, Canada, Geography, Models, Theoretical, Ontario, Ecosystem

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

A language model drew the claims from the paper on 2026-11-09, under version 3 of the claim definition (model deepseek-v4.1-flash, prompt extract-v3).

A second model labelled each claim on 2026-11-09 (model jev-1.13-20260917, definition revision gold-guideline-v0.2).

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review