Bryophytes of a Brazilian seasonally dry tropical forest: an overview of diversity and environmental drivers

IF 1.7 4区生物学 Q3 ECOLOGY

Flora Pub Date : 2025-06-03 DOI:10.1016/j.flora.2025.152770

Jhonyd Jhonata de Oliveira Marmo, Mércia Patrícia Pereira Silva

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引用次数: 0

Abstract

We analyzed the diversity (richness and composition) and distribution patterns of bryophytes in the Caatinga, exploring how environmental variables affect the communities in this unique Brazilian phytogeographic domain. We built a comprehensive database of bryophyte occurrences using online datasets (WorldClim 2.1 and Global Aridity Index and Potential Evapotranspiration Database 3), keeping only records identified at the species level by specialists with accurate geographic coordinates. For each locality, 19 bioclimatic variables, elevation data, and the aridity index were compiled. Generalized Linear Mixed Models (GLMM) and Permutational Multivariate Analysis of Variance (PERMANOVA) were applied to determine the effects of environmental variables on species diversity. Undersampling of bryophytes was detected across most of the Caatinga; nevertheless, an astonishingly high number of taxa (491) was found. Elevation, moisture (BIO15 and AI), and temperature (BIO2 and BIO4) indices were key factors in modeling species richness and composition of bryophyte communities in this region. Our results demonstrate that the Caatinga is still a neglected domain in floristic and ecological studies of bryophytes and that the relationship between the diversity of this group and environmental variables on a macro-scale is complex. A holistic environmental analysis is needed to understand the structuring of bryophyte communities in Seasonally Dry Tropical Forests.

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巴西季节性干燥热带森林苔藓植物：多样性和环境驱动因素概述

本文分析了巴西Caatinga地区苔藓植物的多样性（丰富度和组成）和分布模式，探讨了环境变量对巴西Caatinga地区苔藓植物群落的影响。我们使用在线数据集（WorldClim 2.1和Global arid Index and Potential Evapotranspiration database 3）建立了苔藓植物发生的综合数据库，仅保留专家在物种水平上确定的记录，并提供准确的地理坐标。对每个地点进行了19个生物气候变量、高程数据和干旱指数的汇编。采用广义线性混合模型（GLMM）和置换多元方差分析（Permutational Multivariate Analysis of Variance， PERMANOVA）分析了环境变量对物种多样性的影响。卡廷加大部分地区存在苔藓植物欠采现象；尽管如此，还是发现了数量惊人的分类群（491个）。海拔、湿度（BIO15和AI）和温度（BIO2和BIO4）指数是模拟该地区苔藓植物群落物种丰富度和组成的关键因子。研究结果表明，在苔藓植物区系和生态学研究中，Caatinga仍然是一个被忽视的领域，该类群的多样性与宏观尺度上的环境变量之间的关系是复杂的。为了更好地了解热带旱季森林苔藓植物群落的结构，需要进行全面的环境分析。

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来源期刊

Flora 生物-植物科学

CiteScore

3.30

自引率

10.50%

发文量

130

审稿时长

54 days

期刊介绍： FLORA publishes original contributions and review articles on plant structure (morphology and anatomy), plant distribution (incl. phylogeography) and plant functional ecology (ecophysiology, population ecology and population genetics, organismic interactions, community ecology, ecosystem ecology). Manuscripts (both original and review articles) on a single topic can be compiled in Special Issues, for which suggestions are welcome. FLORA, the scientific botanical journal with the longest uninterrupted publication sequence (since 1818), considers manuscripts in the above areas which appeal a broad scientific and international readership. Manuscripts focused on floristics and vegetation science will only be considered if they exceed the pure descriptive approach and have relevance for interpreting plant morphology, distribution or ecology. Manuscripts whose content is restricted to purely systematic and nomenclature matters, to geobotanical aspects of only local interest, to pure applications in agri-, horti- or silviculture and pharmacology, and experimental studies dealing exclusively with investigations at the cellular and subcellular level will not be accepted. Manuscripts dealing with comparative and evolutionary aspects of morphology, anatomy and development are welcome.