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Record W6925328678 · doi:10.17192/z2020.0251

Diversität und Verteilung von Bryophyten entlang eines Höhengradienten am Vulkan Baru, Panama

2021· article· en· W6925328678 on OpenAlexfundno aff

Bibliographic record

Venuedata_UMR · 2021
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicBryophyte Studies and Records
Canadian institutionsnot available
FundersUniversity of OxfordUniversity of CambridgeMcGill University
KeywordsBryophyteMossBiomass (ecology)Substrate (aquarium)Species diversityEcosystemAlpha diversityBiodiversity

Abstract

fetched live from OpenAlex

Elevational gradients in tropical mountains are suitable systems for studying spatial variations in plant diversity. Due to their great abundance, diversity, and sensitivity to environmental changes, bryophytes are appropriate organisms to explore relationships between diversity patterns and environmental fluctuations. The present study undertakes an analysis of bryophyte diversity and its functions. Moreover, it evaluates the importance of considering bryophytes on different substrates to assess the effects of the microenvironment on the distribution of diversity. The study addresses the following specific questions: 1. How does bryophyte species diversity change with elevation, and how elevational patterns differ between substrate types? 2. How do the community composition and beta diversity of bryophytes on different substrates vary along an elevational gradient? How does elevation influence species association for a particular substrate type along a mountain slope? 3. How do bryophyte biomass and water-holding capacity change with the increase in elevation while accounting for the effect of bryophyte substrates? The variations in the aspects of diversity and ecosystem functions were assessed along an elevational gradient on the Baru Volcano, Panama. Eight study sites were established from 1900 m to 3300 m, with elevational intervals of 200 m between sites. At each elevation, forest structure and climate data, as well as cover per bryophyte species from six substrate types in 600 cm2 plots were recorded. From these plots, bryophyte samples were collected, deposited in plastic bags, and transported to the laboratory where biomass and water-holding capacity were determined and early stages of species identification were carried out. The obtained results revealed that: i) bryophyte species richness consistently decreased towards the highest elevation; ii) elevation explains bryophyte community composition along the whole elevational gradient, while substrate types explain variations in short elevation ranges; and iii) bryophyte biomass and water-holding capacity consistently increased towards the highest elevation. The present work demonstrates that bryophytes respond to the environmental variations drawn by a tropical elevational gradient, varying in species richness and community composition. Total richness of species at different elevations and substrate types decreased with increasing elevation. Species richness patterns were dependent on the scale of analysis, and substrates differed from each other only when considering total number of species aggregated per plots. The pattern of decrease in species richness was related to a gradual change in the composition of the communities. Changes in community composition were mainly explained by elevational variations and to a lesser extent by differences related to substrate types. Different substrates were more crucial in explaining community composition only in short elevational ranges (the four lowest and four highest elevations). Environmental aspects related to a transition zone of forest vegetation at 2500 m were associated with high rates of species turnover and differentiation between communities from the higher and lower area of the mountain. The continuous change of species along the gradient induced a change of typical species per type of substrates and within each elevation. Community turnover results in variations in ecosystem functions that bryophytes perform along the elevational gradient. Bryophyte biomass and its water-holding capacity increased towards higher elevations. Being the terrestrial communities those that registered higher water-holding capacity. Considering different substrates is relevant in the analysis of the bryophyte diversity since each of these micro-environments provides with different extent of information on the richness of species, composition of communities, and functions within the ecosystem. Species turnover induced a high ecological differentiation between lowest and highest elevation communities, causing modifications even in the association of species for a specific substrate. Bryophyte ecosystem functions varied with elevation due to changes in biomass, with different intensity in each substrate. Consequently, epiphytic and terrestrial bryophyte communities performed functions to different degrees within the mountain. Besides, these functions are performed by different communities at both ends of the gradient and also with varying effectiveness. Modifications in the climate, such as those expected under climate change scenarios, would imply changes in different aspects of bryophyte diversity and their functions within the mountain ecosystem. If substrates differ in their elevational patterns of species richness, changes in substrate availability present an additional pathway for the climate to shape the diversity of bryophytes on tropical mountains. Therefore, a better understanding of the spatial variation in bryophyte diversity in these mountains is essential to elucidate the effects of environmental change on this crucial group of plants and its implications for ecosystem functioning. Our data suggest that considering the elevational gradient in the tropical mountain is key to the conservation of diversity and maintenance of ecosystem productivity.

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: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.422
Threshold uncertainty score0.855

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)0.0010.000

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 head0.014
GPT teacher head0.211
Teacher spread0.197 · 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 designNot applicable
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
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