Evidence map›Paper›PMID 39475896›Full record

ArticlePloS one2024

Broad-scale predictions of herpetofauna occupancy and colonization in an agriculturally dominated landscape.

Jonathan P Harris, Tyler M Harms, Karen E Kinkead, Paul W Frese, David M Delaney, Emma M Buckardt, Stephen J Dinsmore

Abstract read
In one paragraph

Article in PloS one, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Jonathan P HarrisDepartment of Natural Resource Ecology and Management, Iowa State University, Ames, Iowa, United States of America.ORCID 0000-0003-4428-903X
Tyler M HarmsCenter for Survey Statistics and Methodology, Iowa State University, Ames, Iowa, United States of America.
Karen E KinkeadIowa Department of Natural Resources, Boone, Iowa, United States of America.
Paul W FreseIowa Department of Natural Resources, Boone, Iowa, United States of America.
David M DelaneyDepartment of Natural Resource Ecology and Management, Iowa State University, Ames, Iowa, United States of America.
Emma M BuckardtDepartment of Natural Resource Ecology and Management, Iowa State University, Ames, Iowa, United States of America.ORCID 0000-0003-4509-7400
Stephen J DinsmoreDepartment of Natural Resource Ecology and Management, Iowa State University, Ames, Iowa, United States of America.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Predictions of species occurrence allow land managers to focus conservation efforts on locations where species are most likely to occur. Such analyses are rare for herpetofauna compared to other taxa, despite increasing evidence that herptile populations are declining because of landcover change and habitat fragmentation. Our objective was to create predictions of occupancy and colonization probabilities for 15 herptiles of greatest conservation need in Iowa. From 2006-2014, we surveyed 295 properties throughout Iowa for herptile presence using timed visual-encounter surveys, coverboards, and aquatic traps. Data were analyzed using robust design occupancy modeling with landscape-level covariates. Occupancy ranged from 0.01 (95% CI = -0.01, 0.03) for prairie ringneck snake (Diadophis punctatus arnyi) to 0.90 (95% CI = 0.898, 0.904) for northern leopard frog (Lithobates pipiens). Occupancy for most species correlated to landscape features at the 1-km scale. General patterns of species' occupancy included negative effects of agricultural features and positive effects of water features on turtles and frogs. Colonization probabilities ranged from 0.007 (95% CI = 0.006, 0.008) for spiny softshell turtle (Apalone spinifera) to 0.82 (95% CI = 0.62, 1.0) for western fox snake (Pantherophis ramspotti). Colonization probabilities for most species were best explained by effects of water and grassland landscape features. Predictive models had strong support (AUC > 0.70) for six out of 15 species (40%), including all three turtles studied. Our results provide estimates of occupancy and colonization probabilities and spatial predictions of occurrence for herptiles of greatest conservation need across the state of Iowa.

Indexed as

Conservation of Natural ResourcesEcosystemAgricultureAnimalsIowa

Identifiers

PMID39475896
PMCPMC11524447

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.