Different Predictors Shape the Diversity Patterns of Epiphytic and Non-epiphytic Liverworts in Montane Forests of Uganda
Different Predictors Shape the Diversity Patterns of Epiphytic and Non-epiphytic Liverworts in Montane Forests of Uganda
复制标题
DOI：
10.3389/fpls.2020.00765
复制
发表时间：
2020-06
影响因子：
5.6
通讯作者：
Karola Maul;Yu‐Mei Wei;M. Nebel;F. Luebert;B. Ho;D. Quandt;M. Kessler
中科院分区：
文献类型：
--
作者：
Karola Maul;Yu‐Mei Wei;M. Nebel;F. Luebert;B. Ho;D. Quandt;M. Kessler
我们研究了区域和地方变量对乌干达天然森林植被中地钱多样性的影响，以帮助我们理解决定物种丰富度的机制和过程。为此，我们比较了乌干达4个国家公园森林中24个样地附生和非附生苔类的物种丰富度分布格局。共记录18科119种及亚种，其中全国新记录种16种。我们使用广义线性模型(GLMS)和区域和局部气候环境变量的相对变量重要性来评估它们对物种多样性的影响。我们发现，总丰富度和附生丰富度的丰富度格局在很大程度上是由与温度和水分可利用性有关的区域气候因素驱动的。相反，非附生和稀有物种的物种多样性还受到局部尺度的微生境因素的强烈影响，如林冠高度和坡度，反映了合适的微生境的可用性。我们的结论是，宏观气候变量在预测附生苔类丰富度方面表现良好，而对非附生地衣丰富度的充分预测需要特定地点的变量。此外，我们还提出，附生苔类的丰富度将比非附生和稀有物种的丰富度更直接地受到气候变化的影响。
We studied the influence of regional and local variables on the liverwort diversity within natural forest vegetation of Uganda to contribute to our understanding of the mechanisms and processes determining species richness. To this end, we compared the species richness distribution patterns of epiphytic and non-epiphytic liverworts (Marchantiophytina) in 24 plots in the forests of four Ugandan national parks. We recorded a total of 119 species and subspecies from 18 families, including 16 new species records for the country. We used generalized linear models (GLMs) and the relative variable importance of regional and local climatic and environmental variables to assess their respective impact on the species diversity. We found that the richness patterns of total and epiphytic richness were largely driven by regional climatic factors related to temperature and water-availability. In contrast, species diversity of non-epiphytic and rare species was additionally strongly determined by local-scale microhabitat factors such as height of forest canopy and slope inclination, reflecting the availability of suitable microhabitats. We conclude that macroclimatic variables perform well in predicting epiphytic liverwort richness, whereas the adequate prediction of non-epiphytic richness requires site-specific variables. Also, we propose that richness of epiphytic liverworts will be impacted more directly by climate change than richness of non-epiphytic and rare species.