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Record W2256531087 · doi:10.1111/1365-2664.12611

Habitat monitoring and projections for Canada lynx: linking the Landsat archive with carnivore occurrence and prey density

2016· article· en· W2256531087 on OpenAlexaboutno aff
Erin Simons‐Legaard, Daniel J. Harrison, Kasey R. Legaard

Bibliographic record

VenueJournal of Applied Ecology · 2016
Typearticle
Languageen
FieldEnvironmental Science
TopicWildlife Ecology and Conservation
Canadian institutionsnot available
FundersU.S. Fish and Wildlife ServiceUniversité du MaineU.S. Department of Agriculture
KeywordsHabitatGeographyEcologyThreatened speciesWildlifeForagingSpruce budwormPredationHabitat fragmentationSnowshoe hareCarnivoreBiology

Abstract

fetched live from OpenAlex

Summary Habitat degradation is the leading threat to US federally listed species, but monitoring changes in habitat extent, fragmentation or quality is not generally included in species recovery plans. Consecutive satellite images of the same area through time are commonly used to assess landscape changes, and image data are increasingly used to generate predictor variables for species–habitat models. A time series of satellite images has, however, rarely been used in conjunction with a species–habitat model to map changes in habitat extent or to predict wildlife–habitat dynamics through time. We used a time series of forest disturbance encompassing 16 530 km 2 of forestland in Maine to map and quantify change in forest types that influence probability of occurrence (POC) of the threatened Canada lynx Lynx canadensis . Integration with a predictive occurrence model developed from landscape conditions c . 2004 allowed us to retrospectively (1973–2004) assess changes at 2‐ to 4‐year intervals, update predictions (2004–2010) and project the spatial distribution and extent of lynx foraging habitat over the next decade. Between 1975 and 1991, 40% of mature conifer forest in our study area was removed by stand‐replacing harvests, coincident with the last regional outbreak of eastern spruce budworm Choristoneura fumiferana (Clem.). As those areas regenerated between 1991 and 2010, POC increased dramatically as broad‐scale habitat conditions for lynx's primary prey, snowshoe hare Lepus americanus , improved. Projections suggest that continued forest regrowth will provide new habitat over the next decade, but fragmentation will increase, and by 2022 the habitat distribution will shift southwards into areas where climate change or interspecific competition may limit lynx population expansion. Synthesis and applications . Conservation planning for vagile species that depend on ephemeral forest types, such as the Canada lynx in the north‐eastern USA, requires habitat monitoring strategies that can adapt to changing landscape conditions. Although Maine's lynx population has increased since the 1990s, we recommend that continued monitoring of lynx habitat and population status is critical given habitat and climate uncertainty. We also recommend that habitat management efforts be targeted not only at areas currently occupied by lynx but also where habitat loss is expected to occur near‐term from succession or in anticipation of the next budworm outbreak.

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 score0.245
Threshold uncertainty score0.768

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 studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.007
GPT teacher head0.196
Teacher spread0.189 · 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

Citations25
Published2016
Admission routes1
Has abstractyes

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