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Record W2778463305 · doi:10.1111/1365-2664.13084

Primary rainforest amount at the landscape scale mitigates bird biodiversity loss and biotic homogenization

2017· article· en· W2778463305 on OpenAlexfundno aff
Urs G. Kormann, Adam S. Hadley, Teja Tscharntke, Matthew G. Betts, W. Douglas Robinson, Christoph Scherber

Bibliographic record

VenueJournal of Applied Ecology · 2017
Typearticle
Languageen
FieldEnvironmental Science
TopicEcology and Vegetation Dynamics Studies
Canadian institutionsnot available
FundersDivision of Environmental BiologyCanadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of CanadaDeutsche Forschungsgemeinschaft
KeywordsBiodiversityOld-growth forestEcologySecondary forestRainforestDefaunationGeographyAbundance (ecology)AgroforestryBiology

Abstract

fetched live from OpenAlex

Abstract Tropical conservation strategies traditionally focus on large tracts of pristine forests but, given rapid primary forest decline, understanding the role of secondary forest remnants for biodiversity maintenance is critical. Until now, the interactive effects of changes in forest amount, configuration and disturbance history (secondary vs. primary forest) on the conservation value of tropical landscapes have remained unknown, hampering the incorporation of these global change drivers into local and global conservation planning. We disentangled effects of landscape‐wide forest amount, fragment size and forest age (old growth vs. secondary forest) on abundance, α‐diversity, β‐diversity (biotic homogenization) and community shifts of bird communities in human‐dominated landscapes of southern Costa Rica. Utilizing two complementary methods, yielding 6,900 individual detections and 223 species, we characterized bird communities in 49 forest fragments representing independent gradients in fragment size (<5 ha vs. >30 ha) and forest amount (5%–80%) in the surrounding landscape (within 1000 m). Abundance and α‐diversity of forest specialists and insectivores declined by half in small fragments, but only in landscapes with little old‐growth forest. Conversely, secondary forest at the landscape scale showed no such compensation effect. Similarly, a null‐model approach indicated significant biotic homogenization in small vs. large fragments, but only in landscapes with little old‐growth forest, suggesting forest amount and configuration interactively affect β‐diversity in tropical human‐dominated landscapes. Finally, dramatic abundance‐based community shifts relative to intact forests are largely a result of landscape‐scale loss of old growth rather than changes in overall forest cover. Policy implications . Our study provides strong evidence that retaining old growth within tropical human‐modified landscapes can simultaneously curb erosion of avian forest specialist α‐diversity, mitigate collapse of β‐diversity (biotic homogenization) and dampen detrimental avian community shifts. However, secondary forests play, at best, a subordinate role to mitigate these processes. To maintain tropical forest biodiversity, retaining old‐growth forest within landscapes should be first priority, highlighting a land‐sparing approach.

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 score0.006
Threshold uncertainty score0.759

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 studies0.0010.001
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 head0.005
GPT teacher head0.190
Teacher spread0.186 · 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

Citations52
Published2017
Admission routes1
Has abstractyes

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