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Record W2810431898 · doi:10.1111/fwb.13133

The spatial structure of variation in salamander survival, body condition and morphology in a headwater stream network

2018· article· en· W2810431898 on OpenAlexfundno aff
Winsor H. Lowe, Brett R. Addis, Margaret Smith, Jon M. Davenport

Bibliographic record

VenueFreshwater Biology · 2018
Typearticle
Languageen
FieldEnvironmental Science
TopicFish Ecology and Management Studies
Canadian institutionsnot available
FundersInstitute of Materials Research and EngineeringMcGill UniversityNational Science Foundation
KeywordsRiffleSTREAMSSalamanderHabitatEcologySalvelinusSpatial ecologySpatial variabilityFontinalisUpstream and downstream (DNA)BiologyLarvaSpatial distributionEnvironmental scienceTroutGeographyFish <Actinopterygii>FisheryUpstream (networking)

Abstract

fetched live from OpenAlex

Abstract Understanding the spatial structure of individual variation is critical to assessing the mechanisms and scale of species‐level ecological and evolutionary responses. But the continuity and complexity of streams can make it difficult to discern spatial structure, and data on individual variation spanning spatial scales are rare. Our goal was to objectively resolve the scale of ecological and evolutionary processes affecting the salamander Gyrinophilus porphyriticus by testing for spatial structure in individual variation across a headwater stream network. We used 3 years of spatially explicit capture–mark–recapture data from four headwater streams in the Hubbard Brook Experimental Forest, New Hampshire, USA, to test for individual variation in survival at three scales: (a) among c . 2‐km 2 watersheds, (b) in 500‐m downstream and upstream reaches within watersheds and (c) in riffle and pool habitats along reaches. We also tested for corresponding spatial variation in individual body condition and morphology to gain insight on the causes and implications of variation in survival. Survival of G. porphyriticus larvae was constant among watersheds, but differed by reach and habitat. Larval survival was higher in upstream reaches than downstream reaches, matching the distribution of predatory brook trout ( Salvelinus fontinalis ), which were restricted to downstream reaches. Larval survival was also higher in pools than riffles. Survival of G. porphyriticus adults was constant at all scales. Larval body condition was higher in downstream reaches than upstream reaches. Both larvae and adults differed in morphology at the habitat scale: individuals in pools had longer limbs than individuals in riffles. Negative covariation in larval survival and body condition at the reach scale suggests that there is a trade‐off between fitness and proximate performance along streams. The surprising differences between habitats in survival and morphology show the potential for fine‐scale ecology–evolution interactions in streams, potentially driven by differences in flow and gradient conditions in riffles and pools. Our results suggest that the larval stage is key to understanding individual, population and community‐level processes affecting G. porphyriticus . More broadly, this research provides a novel empirical link between traditional studies of fine‐scale ecological complexity in streams and recent studies showing consistent spatial dynamics at the network scale. By documenting differences in survival, body condition and morphology at reach and habitat scales, we hope this work shows the feasibility and value of spatially explicit approaches to species‐level ecological and evolutionary questions in streams.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.262
Threshold uncertainty score0.755

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.006
GPT teacher head0.222
Teacher spread0.217 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations11
Published2018
Admission routes1
Has abstractyes

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