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Record W4409061560 · doi:10.1088/2752-664x/adc0aa

Climate change mitigation through woodland caribou (<i>Rangifer tarandus)</i> habitat restoration in British Columbia

2025· article· en· W4409061560 on OpenAlex
James C. Maltman, Nicholas C. Coops, Gregory J. M. Rickbeil, Txomin Hermosilla, A. Cole Burton

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

VenueEnvironmental Research Ecology · 2025
Typearticle
Languageen
FieldEnvironmental Science
TopicRangeland and Wildlife Management
Canadian institutionsNatural Resources CanadaCanadian Forest ServiceWestern Forest Products
FundersMitacs
KeywordsWoodland caribouWoodlandHabitatGeographyClimate changeEcologyForestryAgroforestryEnvironmental scienceBiology

Abstract

fetched live from OpenAlex

Abstract Climate change poses a significant global threat, requiring rapid and effective mitigation strategies to limit future warming. Tree planting is a commonly proposed and readily implementable natural climate solution. It is also a vital component of habitat restoration for the threatened woodland caribou ( Rangifer tarandus) . There is potential for the goals of caribou conservation and carbon sequestration to be combined for co-benefits. We examine this opportunity by estimating the carbon sequestration impacts of tree planting in woodland caribou range in British Columbia (BC), Canada. To do so, we couple Landsat-derived datasets with Physiological Processes Predicting Growth, a process-based model of forest growth. We compare the sequestration impacts of planting informed by woodland caribou habitat needs to planting for maximum carbon sequestration under multiple future climate scenarios including shared socio‐economic pathways (SSP) 2, representing ∼2.7 °C warming, and SSP5, representing ∼4.4 °C warming. Trees were modelled as planted in 2025. Province-wide by 2100, planting for maximum-carbon sequestration averaged 1062 Mg CO 2 · ha −1 planted, while planting for caribou habitat resulted in an average of 930 Mg CO 2 · ha −1 planted, a reduction of 12%. We found that relative sequestration between herds remained similar across warming scenarios and that, for most ecotypes, sequestration increased from 5% to 7% between the coldest (∼2.7 °C warming) and warmest (∼4.4 °C warming) scenario. Variability in the relative sequestration impacts of planting strategies was observed between herds, highlighting the importance of spatially-explicit, herd-level analysis of future forest growth when planning restoration activities. Our findings indicate a large potential for co-benefits between carbon sequestration and woodland caribou habitat restoration across BC in all warming scenarios modelled. They also underscore the value of process-based forest growth models in evaluating the carbon implications of tree planting and habitat restoration across large areas under a changing climate.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.313
Threshold uncertainty score0.999

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 studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.001

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 head0.022
GPT teacher head0.285
Teacher spread0.263 · 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