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247 results for “forest types”
Parallel evolution of behaviour, physiology and life history associated with altitudinal shifts in forest type in Heliconius butterflies
<p class="MsoNormal"><span>Parallel evolution of morphological traits is widely reported, providing evidence for the role of local conditions in driving adaptive divergence. Comparatively, fewer studies have tested for parallelism in behaviour, and it is less clear to what extent heritable behavioural shifts contribute to adaptive divergence. We exploit repeated incipient speciation across altitudinal gradients to explore behaviour and physiology in <em>Heliconius </em>butterflies adapted to high-elevation. We performed common garden experiments with <em>H. chestertonii, </em>a high-altitude specialist from the Colombian Cordillera Occidental, and <em>H. erato venus</em>, a low-elevation proxy for the ancestral population, and compared our results to existing data for an equivalent Ecuadorian taxa-pair. Using broad-scale climatic data, we show that both pairs diverge across similar ecological gradients, confirmed using localised data loggers in the ranges of <em>H. chestertonii</em> and <em>H. e. venus</em>. We further show that <em>H. chestertonii </em>and <em>H. e. venus</em> have divergent activity patterns, attributable to different responses to microclimate, and life histories. Finally, we provide evidence for parallelism in these traits with <em>H. himera</em> and <em>H. e. cyrbia</em>. We propose that this is a result of selection associated with independent colonisations of high-altitude forests, emphasising the importance of heritable behavioural and physiological adaptations during population divergence and speciation.</span></p>
Correlations between dominant vegetation type and composition and diversity of soil bacterial communities in a subtropical forest
<p><span>Single and mixed vegetation types have significant effects on soil parameters and the composition and diversity of soil bacterial communities.</span><span> To understand the influence of different vegetation types on the structure of soil bacterial community across soil depth in a subtropical forest, we assessed the relative abundance of edaphic bacterial community and soil parameters, including pH, </span><span>cation exchange capacity</span><span> (CEC), and d</span><span>issolved organic carbon</span><span> (DOC) </span><span>in Daiyun Mountain Nature Reserve in Fujian Province, southeastern China. The study area constitutes pine coniferous forest (CF) of <em>pinus taiwanensis</em>, broad-leaved forest (BF) of <em>castanopsis fabri</em>, and a mixed forest comprising CF and BF (MF). Quantitative PCR and Illumina sequencing of 16S rDNA were used to analyze the abundance, diversity, and composition of soil bacteria. </span><span>The results showed that the pH, CEC and diversity of tree species are all associated with the composition of the bacterial community in the soil.</span> <span>It was found that CEC, soluble</span><span> organic nitrogen (</span><span>DON) and pH largely affected the structure of soil bacterial community in A horizon, whereas CEC, moisture content (MC) and </span><span>organic phosphorus</span><span> (OP) affected the structure of soil bacterial community in B horizon. </span><span>We found that the dominant taxa in the CF and BF were <em>Proteobacteria</em> and <em>Acidobacteria</em>, respectively. The results of both mental and random forest (RF) analyses displayed groups according to vegetation types, indicating that the bacterial communities in the research site were significantly influenced by vegetation types in subtropical forests. </span><span>The study highlights the ecological effects of forest management and elucidates the differences in the functional structure of soil bacterial communities under different vegetation types and soil depths.</span></p>
Virtual Forest Twins based on Marteloscope point cloud data from different forest ecosystem types and its associated teaching workload
<p>The 8th intellectual output (IO-8) titled "Virtual Forest Twins based on Marteloscope point cloud data from different forest ecosystems type and its associated teaching workload" [of the Erasmus+ project "Virtualization of Forest Studies (Virtual Forests)"] was led by Eberswalde University for Sustainable Development (HNEE) in Eberswalde, Germany. The main objectives of IO-8 were two-fold: (1) the development of an analytical pipeline for the virtualization of real forest stands from selected marteloscope sites into 3D virtual twins, and (2) the preparation of open-access, blended teaching and training materials based on the aforementioned analytical pipeline. Specifically, 3D virtual forest twins were created based on point cloud data derived from UAV-mounted and hand-held terrestrial laser scanning technology, followed by a series of software- and hardware-supported analytical steps, and finally rendered for visualization and presentation. The point cloud data collected represents the first significant product of IO8. All further results and products are compiled into open-source resources for teaching, training and research purposes in higher education and forest science. These include technical guidelines, MSc.-level learning materials available for self-directed study on the project Moodle, and a stand-alone online multimedia tutorial narrated in a published ArcGIS StoryMap. </p>
Tayra (eira barbara) landscape use as a function of cover types, forest protection, and the presence of puma and free-ranging dogs
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Liana communities exhibit different species composition, diversity and community structure across forest types in the Congo Basin
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Data for: Multidimensional stoichiometric mismatch explains differences in detritivore biomass across three forest types
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Edaphic effects on forest structure and tree species composition in three seasonally dry tropical forest types in Cambodia
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Data from: Root morphology and mycorrhizal type strongly influence root production in nutrient hot spots of mixed forests
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Data from: Tropical forest type influences community assembly processes in arbuscular mycorrhizal fungi
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Data from: Land use type, forest cover, and forest edges modulate avian cross-habitat spillover
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Parallel evolution of behaviour, physiology and life history associated with altitudinal shifts in forest type in Heliconius butterflies
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Ecological data on evergreen forest types of central plains Cambodia
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Fluoro-Forest CODEX data for random Forest-based cell type annotation
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Data from: Effects of soil type and light on height growth, biomass partitioning, and nitrogen dynamics on 22 species of tropical dry forest tree seedlings: comparisons between legumes and nonlegumes
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Glucocorticoids link forest type to local abundance in tropical birds
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Correlations between dominant vegetation type and composition and diversity of soil bacterial communities in a subtropical forest
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Presettlement tree distributions and forest types of northeast Ohio, USA, mapped with species distribution models
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Data from: The functional trait space of tree species is influenced by the species richness of the canopy and the type of forest
Analysing how species modify their trait expression along a diversity gradient brings insight about the role that intraspecific variability plays over species interactions, e.g. competition versus complementarity. Here, we evaluated the functional trait space of nine tree species dominant in three types of European forests (a continental-Mediterranean, a mountainous mixed temperate and a boreal) growing in communities with different species richness in the canopy, including pure stands. We compiled whole-plant and leaf traits in 1719 individuals, and used them to quantify species trait hypervolumes in communities with different tree species richness. We investigated changes along the species richness gradient to disentangle species responses to the neighbouring environment, in terms of hypervolume size (trait variance), shape (trait relative importance) and centroid translation (shifts of mean trait values) using null models. Our main results showed differences in trait variance and shifts of mean values along the tree diversity gradient, with shorter trees but with larger crowns in mixed stands. We found constrained functional spaces (trait convergence) in pure stands, suggesting an important intraspecific competition, and expanded functional spaces (trait divergence) in two-species admixtures, suggesting competition release due to interspecific complementarity. Nevertheless, further responses to increasing species richness were different for each forest type, waning species complementarity in sites with limiting conditions for growth. Our results demonstrate that tree species phenotypes respond to the species richness in the canopy in European forests, boosting species complementarity at low level of canopy diversity and with a site-specific pattern at greater level of species richness. These outcomes evidence the limitation of functional diversity measures based only on traits from pure stands or general trait database values.
Tree mycorrhizal type mediates the strength of negative density dependence in temperate forests
<p>1. Recent plant-soil feedback experiments suggest that arbuscular mycorrhizal (AM) tree species experience stronger conspecific negative density dependence (CNDD) than ectomycorrhizal (EM) tree species. Yet how these findings inform our understanding of natural systems is limited because the roles of local soil conditions, light environments and tree species abundances in influencing CNDD for AM and EM species are not clear.</p> <p>2. Here we examined seedling and sapling survival in two temperate old-growth forests (broadleaved pine and spruce-fir forests) in Northeast China, to evaluate the effects of both conspecific and heterospecific neighbour density, as well as the soil and light environments, on the survival of AM and EM-dependent trees at early life stages.</p> <p>3. While light availability increased the survival of EM seedlings, soil organic resources increased EM sapling survival in the spruce-fir plot. AM seedlings suffered stronger CNDD than did EM seedlings in both plots. In the spruce-fir plot, soil factors and light availability mediated species CNDD but their effects differed for AM and EM species, and also between seedlings and saplings. For seedlings in both plots, we found that AM species exhibited a positive relationship between species abundance and CNDD strength, whereas this relationship was negative for EM species.</p> <p>4.<i> Synthesis</i>. Our results provide one of the few tests of how fungal symbioses determine species responses to intra- and interspecific interactions and the direct effects of local environmental conditions on seedling and sapling survival. We show that mycorrhizal type mediates the strength of CNDD and its relationship with species abundance. These results suggest that tree mycorrhizal association can determine the strength of CNDD effects on both rare and common species, and these CNDD differences are likely to influence the community composition of temperate forests.</p>
Data from: Matrix type and landscape attributes modulate avian taxonomic and functional spillover across habitat boundaries in the Brazilian Atlantic Forest
Land use intensification drives biodiversity loss worldwide. In heterogeneous landscape mosaics, both overall forest area and anthropogenic matrix structure induce changes in biological communities in primary habitat remnants. However, community changes via cross-habitat spillover processes along forest-matrix interfaces remain poorly understood. Moreover, information on how landscape attributes affect spillover processes across habitat boundaries are embryonic. Here, we quantify avian and β-diversity (as proxies of spillover rates) across two dominant types of forest-matrix interfaces (forest-pasture and forest-eucalyptus plantation) within the Atlantic Forest biodiversity hotspot in southeast Brazil. We also assess the effects of anthropogenic matrix type and landscape attributes (forest cover, edge density and land-use diversity) on bird taxonomic and functional β-diversity across forest-matrix boundaries. Alpha taxonomic richness was higher in forest edges than within both matrix types, but between matrix types, it was higher in pastures than in eucalyptus plantations. Although significantly higher in forests edges than in the adjacent eucalyptus, bird functional richness did not differ between forest edges and adjacent pastures. Community changes (β-diversity) related to species and functional replacements (turnover component) were higher across forest-pasture boundaries, whereas changes related to species and functional loss (nested component) were higher across forest-eucalyptus boundaries. Forest edges adjacent to eucalyptus had significant higher species and functional replacements than forest edges adjacent to pastures. Forest cover negatively influenced functional β-diversity across both forest-pasture and forest-eucalyptus interfaces. We show the importance of matrix type and the structure of surrounding landscapes (mainly forest cover) on rates of bird assemblage spillover across forest-matrix boundaries, which has profound implications to biological fluxes, ecosystem functioning and land-use management in human-modified landscapes.
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Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.