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5 results for “Deadwood fungi”
Data to How to best detect threatened deadwood fungi – comparing metabarcoding and fruit body surveys
<p>This data set contains occurence data of threatened (red listed) fungi on deadwood objects in the National Park Bavarian Forest and the Žofínský prales National Nature Reserve to the the publication "How to best detect threatened deadwood fungi – comparing metabarcoding and fruit body surveys" by Rieker et al. (2024). This data is mainly uploaded to recreate analyses. </p> <p>Site: Information on the sampling site</p> <p>ObjectID: ID of the sampled deadwood object</p> <p>Campaign: Sampling year</p> <p>Decaystage: Decaystage of the deadwood object at sampling time (ranging between 1 and 4)</p> <p>Kingdom: Kingdom the eadwood object tree species belongs to</p> <p>Method: sampling method</p> <p>Species: threatend species name </p> <p>Presence: only contains the value "1" for present</p>
Fungi and deadwood diversity: A test of the area-heterogeneity trade-off hypothesis
<p>Environmental heterogeneity is one of the most fundamental drivers of species diversity. For decades, ecologists have suggested that heterogeneity-diversity relationships are generally positive. But today, a greater variety of heterogeneity-diversity relationships is discussed. In this study, we contrasted two hypotheses for wood-inhabiting fungi: The classical heterogeneity-diversity hypothesis, that predicts positive relationships due to an increase in niche dimensionality with increasing heterogeneity. And the more recently stated area-heterogeneity trade-off hypothesis, that predicts a unimodal pattern due to an inherent trade-off between the number of occupied niches and the effective area per species. It allows positive and negative relationships only as special cases.</p> <p>We sampled 3,715 deadwood objects on 135 plots along a forest structure gradient in the Black Forest, Germany, and recorded 284 wood-inhabiting fungal species. To assess heterogeneity of deadwood structures, we calculated two multidimensional structural diversity indices: Structural richness was used as a measure of available niche space, and structural divergence as a measure of multivariate variance within that niche space. Those indices were then related to species richness estimates for rare, common, and dominant species, using the framework of Hill numbers.</p> <p>We found a linear, positive effect of structural richness and a unimodal effect for structural divergence on estimated species diversity. Structural richness, but not structural divergence was strongly correlated with the number of sampled deadwood objects. No clear differences between the responses of rare, common, and dominant species to the two heterogeneity gradients were found. We also estimated the mean abundance as proxy for mean population size, which decreased significantly with structural richness, but was non-significantly related to structural divergence.</p> <p><em>Synthesis: </em>In general, the results of this study suggest a unimodal heterogeneity-diversity relationship for deadwood-inhabiting fungi, and are thereby in line with the area-heterogeneity trade-off hypothesis. Thus, the negative effect of heterogeneity should lead to lower species richness and higher risk of stochastic extinctions at high levels of heterogeneity. However, as deadwood amount and deadwood diversity are often strongly correlated, we argue that the positive effect of resource availability on species richness may mask the negative effect of structural heterogeneity in some cases.</p>
Data for: Diversity and specialization responses to climate and land use differ between deadwood fungi and bacteria
<p>This dataset contains data from a field study conducted in 2019 and described in the manuscript "Diversity and specialization responses to climate and land use differ between deadwood fungi and bacteria".</p> <p>To test the effects of land use and climate on diversity and community specialization (H2') of deadwood-inhabiting microbes, we exposed branches of four different tree species at 179 study sites, distributed over a spatial extent of 300 km x 300 km and 1000 m in elevation. Study sites were established in four local land-use types: forests, grasslands, arable sites, and settlements, embedded in near-natural, agricultural, or urban landscapes.</p> <p>We used negative-binomial generalized linear models for diversity and calculated community specialization on host trees by using the standardized two-dimensional Shannon entropy (H2') and beta-regression models.</p> <p>Our results show that host identity and hence specialization strongly exceed the effects of climate and land use for fungal but not bacterial communities. This suggests contrasting responses between microbial taxa to climate change and land-use intensification with further consequences on deadwood diversity interactions and hence decomposition processes.</p>
Fungi and deadwood diversity: A test of the area-heterogeneity trade-off hypothesis
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Data for: Diversity and specialization responses to climate and land use differ between deadwood fungi and bacteria
Open the record for dataset details and reuse information.
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