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Record W4220991568 · doi:10.1111/jbi.14322

Taxonomic scale and community organization impact observed latitudinal gradients of parasite diversity

2022· article· en· W4220991568 on OpenAlexfundaboutno aff
Whitney C. Preisser, Adrian A. Castellanos, John Kinsella, Eugenio González, Jesús A. Fernández, Norman O. Dronen, A. Michelle Lawing, Jessica E. Light

Bibliographic record

VenueJournal of Biogeography · 2022
Typearticle
Languageen
FieldEnvironmental Science
TopicParasite Biology and Host Interactions
Canadian institutionsnot available
FundersChurchill Northern Studies CentreAmerican Society of Parasitologists
KeywordsSpecies richnessLatitudeEcologyTaxonBiologySpecies diversityBiodiversityHost (biology)Community structureGeography

Abstract

fetched live from OpenAlex

Abstract Aim While most free‐living taxa follow the latitudinal diversity gradient (LDG), or the trend of higher diversity at lower latitudes, we know little about how the diversity of parasitic taxa is distributed across latitudes. To better understand the macroecological patterns of parasite diversity, we sought to determine whether (1) helminths follow the traditional LDG; (2) taxonomic resolution impacts observed patterns; (3) latitudinal patterns are consistent across levels of community organization and (4) helminth diversity is correlated with climate‐ and host‐associated variables. Location San Juan de Peñas Blancas, Costa Rica; Calnali, Hidalgo, Mexico; College Station, Texas, USA; Brownsville, Nebraska, USA; Winnipeg, Manitoba, Canada; Churchill, Manitoba, Canada Taxon Rodentia: Cricetidae; Nematoda; Platyhelminthes Methods We sampled parasites from hosts at field sites set approximately every 10° in latitude. We evaluated the relationships between parasite species richness (of all helminths as well as nematodes, cestodes and trematodes separately) and latitude, climate, and host mass at two levels of parasite community organization, the infracommunity and the component community, using generalized additive models. Results Total helminth richness was significantly correlated with latitude, but the relationship was nonlinear. Nematode, cestode and trematode diversity were also significantly correlated with latitude, but the relationship differed between the levels of community organization and among the taxonomic groups. Climate‐ and host‐associated variables were significantly correlated with different parasite taxa, although the strength and size of the correlations varied among the groups. Main conclusions There are complex associations between parasite richness and latitude, climate, and host traits, and community organization and taxonomic grouping affected the observed relationships. Climate has been implicated as an important factor in shaping LDG patterns and may similarly influence helminth diversity patterns. Overall, this work provides further support and exceptions to the LDG and stresses the importance of considering scale in ecological investigations.

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 score0.768

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 studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.025
GPT teacher head0.275
Teacher spread0.250 · 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

Citations6
Published2022
Admission routes2
Has abstractyes

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