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Record W3215945891 · doi:10.7939/r3-jaw6-3x94

From species to genes: ecological and evolutionary mechanisms structuring diversity in space and time

2021· article· en· W3215945891 on OpenAlexaboutno aff
Zachary G. MacDonald

Bibliographic record

VenueUniversity of Alberta Library · 2021
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicInvertebrate Taxonomy and Ecology
Canadian institutionsnot available
Fundersnot available
KeywordsStructuringEcologyDiversity (politics)Ecosystem diversitySpace (punctuation)BiologyEvolutionary biologyBiodiversityGeographyComputer scienceSociologyBusiness

Abstract

fetched live from OpenAlex

My Ph.D. thesis addresses three foundational questions in conservation biology: i) what is biodiversity and how is it best measured? ii) how does variation in habitat configuration, habitat composition, and environmental conditions affect emergent patterns of species diversity? and iii) how do these same factors relate to genomic variation within single species? Our analyses of temporal patterns of butterfly species diversity resolved that negative relationships between species richness (total number of species) and species evenness (relative abundances of species) may compromise the efficacy of many diversity indices. As environmental conditions become more favorable, richness often increases while evenness decreases, meaning indices that conflate these two components of diversity (e.g., information entropies) show little change through time. Based on these findings, we outline analytical recommendations for citizen-science and long-term monitoring programmes.Building on this work, we established a series of research projects that utilized lake islands as a naturally fragmented landscape for investigating effects of habitat configuration and composition on the diversity of butterflies and vascular plants. Overall, species richness was generally unrelated to degree of fragmentation, supporting stochastic assembly of species consistent with the sample-area effect. However, by developing a novel modelling framework that addresses abundances and occurrences of individual species, we were able to resolve that, after controlling for the sample-area effect, variation in island area and isolation disproportionately affect smaller, less-mobile butterfly species. Importantly, these analyses clearly demonstrate how emergent patterns of species richness can obscure important, species-specific responses to fragmentation. Our findings question previous, richness-based support for the recently proposed and widely debated habitat amount hypothesis, which posits that conservation efforts should focus solely on preserving the maximum amount of habitat irrespective of its degree of fragmentation. Additionally, we carried out a series of experimental releases of butterflies in the lake-island matrix. Tracking movements of released individuals suggested there is significant disparity in species’ ability to navigate fragmented landscapes and that visual senses play a primary role in habitat detection.The last section of my thesis addresses gene flow and climate-associated genomic variation within Dod’s Old World swallowtail butterfly, Papilio machaon dodi, throughout its Canadian range. Using a combination of genomic analyses and habitat suitability models, we identified two distinct evolutionary lineages (north vs south) that are genetically and ecologically divergent, maintained by local adaptation to climatic conditions. Based on climate change projections, we predicted that the northern lineage is likely to be extirpated and displaced by the southern lineage within 50 years. After controlling for climate-associated genetic variation, configurations of suitable habitat were unrelated to genetic connectivity within P. m. dodi. This result challenges a foundational method in ecology: the use of habitat suitability models to infer patterns of connectivity between isolated populations when genetic data are unavailable.The combination of these thesis projects demonstrates clear utility for integrating biogeography, landscape ecology, and population genomics to address cumulative effects of habitat fragmentation, habitat loss, and climate change on the ecology and evolution of species. Much of my thesis work suggests that an autecological approach, addressing responses of individual species to geographic and environmental factors, may be most sensible from a theoretical perspective and most effective from a conservation perspective. However, continued work and consilience among biogeography, landscape ecology, and population genomics are required to resolve whether generalizations across taxa are viable and applicable to conservation practice.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.007
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.011

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.007
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.002
Science and technology studies0.0010.003
Scholarly communication0.0030.003
Open science0.0010.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.012
GPT teacher head0.143
Teacher spread0.131 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designTheoretical or conceptual
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".

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Citations0
Published2021
Admission routes1
Has abstractyes

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