MétaCan
Menu
Back to cohort
Record W2267800408 · doi:10.1111/ddi.12423

Evaluating resilience of tree communities in fragmented landscapes: linking functional response diversity with landscape connectivity

2016· article· en· W2267800408 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueDiversity and Distributions · 2016
Typearticle
Languageen
FieldEnvironmental Science
TopicEcology and Vegetation Dynamics Studies
Canadian institutionsUniversité du Québec en OutaouaisUniversité TÉLUQUniversité du Québec à Montréal
FundersNatural Sciences and Engineering Research Council of CanadaMitacs
KeywordsEcologyLandscape connectivityGeographyEcological resilienceBiological dispersalHabitatEnvironmental resource managementFragmentation (computing)Psychological resilienceEcosystemSpecies diversityLandscape ecologyBiodiversityBeta diversityEnvironmental scienceBiologyPopulation

Abstract

fetched live from OpenAlex

Abstract Aim Multiple agents of change increasingly impact functioning of forest ecosystems, for which management plans often ignore how local disturbances and habitat fragmentation jointly operate on ecological resilience at different scales. We examined sensitivity of functional response diversity ( FD ) to variation in species diversity to predict ecological resilience to future disturbances across tree communities and evaluated the role of landscape connectivity in maintaining ecological resilience at the landscape scale. Location Centre‐du‐Quebec, Quebec, Canada. Methods We inventoried private forests and calculated FD and community‐weighted means to determine the extent to which forest‐use intensity affects ecological resilience. Subsequently, we constructed a regional map of FD , from which a spatial network was extracted. To assess potential impacts of fragmentation in maintaining FD at the landscape scale, we examined how the functional connectivity of the landscape, measured by the probability of connectivity ( PC ), varied across a range of maximum seed dispersal distances. Lastly, we evaluated the importance of individual forest fragments in maintaining landscape FD by measuring the connectivity fractions of PC . Results Across tree communities, ecological resilience was low as FD increased sharply with species diversity. Forests with high FD were dominated by species with trait values associated with greater resilience to future anthropogenic disturbances rather than to future climate change. FD was maintained across the landscape by forest fragments acting as intermediate stepping stones in the transfer of seeds. Main conclusions We employed a novel approach based on spatial networks to extend the functional diversity concept from the local to the landscape scale. Our results suggest that seed dispersal over sufficiently large distances can maintain ecological resilience in fragmented landscapes and buffer changes in local‐scale FD . Otherwise, FD is maintained by local processes, meaning that ecological resilience of isolated forest fragments depends strongly on land use type and intensity.

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.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.007
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.000
Scholarly communication0.0000.000
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.030
GPT teacher head0.247
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