ArticleEcology2026
A non-Euclidean movement model to quantify landscape connectivity with open spatial capture-recapture models.
Article in Ecology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
1 citing paper in PubMed.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
19 authors.
Funding
Abstract
Open Population Spatial Capture-Recapture (OPSCR) models provide a unifying framework to simultaneously model demography and movement while accounting for imperfect detection of individuals. In OPSCR models, movements of individual home ranges between primary occasions usually follow a random walk process that neglects the role of the landscape. Here, we developed a non-Euclidean OPSCR model to explicitly estimate the extent to which home range shifts are shaped by spatial descriptors of the landscape, also referred to as landscape connectivity. We used simulations to validate the robustness of the model and then applied it to a 5-year, noninvasive genetic monitoring dataset of brown bears (Ursus arctos) in the Pyrenees mountain range (France, Spain, and Andorra). We found that male bears' home range movements were smaller close to main roads. The estimated resistance of the distance to roads was negative (-1.49 95% CrI [-2.86, -0.33]), meaning that the cost of moving their home ranges was higher close to roads. Our new OPSCR model provides a data-driven tool to assess the impact of landscape fragmentation on population connectivity at the scale of home range movement using noninvasive spatial capture-recapture data.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.