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95 results for “vegetation type”
Figure 1 in Bird communities of different woody vegetation types from the Niraj Valley, Romania
Figure 1. PCoA of the bird communities from the woody vegetation based on the Jaccard index.
Distribution of vegetation sampling plots in four ecosystem types
<p>The table contains a number of bear cuscus presence points based on direct and indirect encounters (representative information from the local guide), as well as a number of plots constructed in each bear cuscus presence point in various ecosystem types in Bantimurung Bulusaraung National Park and Hasanuddin University Educational Forest, South Sulawesi.</p> <p>Three plots of 20 x 20 m were constructed in each bear cuscus presence point, with fifteen plots were established in each ecosystem type.</p>
Distribution of vegetation sampling plots in various ecosystem types
<p>The table contains no. of bear cuscus presence points based on direct and indirect encounters (representative information from the local guide), as well as no. of plots constructed in each bear cuscus presence point in various ecosystem types in Bantimurung Bulusaraung National Park and Hasanuddin University Educational Forest, South Sulawesi.</p> <p>Three plots of 20 x 20 m were constructed in each bear cuscus presence point, with fifteen plots were established in each ecosystem type.</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>
Fig. 2. Tritogenia howickiana Kinberg, 1867 in The megadrile fauna (Annelida: Oligochaeta) of Queen Elizabeth Park, South Africa: species composition and distribution within different vegetation types
Fig. 2. Tritogenia howickiana Kinberg, 1867, the whole body of the lectotype. Scale bar = 5 mm.
Fig. 5 in The megadrile fauna (Annelida: Oligochaeta) of Queen Elizabeth Park, South Africa: species composition and distribution within different vegetation types
Fig. 5. Tritogenia howickiana, position of the spermathecae (Sp) in segments 12 and 13.
Fig. 1. A in The megadrile fauna (Annelida: Oligochaeta) of Queen Elizabeth Park, South Africa: species composition and distribution within different vegetation types
Fig. 1. A map of Queen Elizabeth Park, showing the different vegetation types.
Spatial patterns and ecological drivers of soil nematode β-diversity in natural grasslands vary among vegetation types and trophic position
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After the ‘Black Summer’ fires: faunal responses to megafire depend on fire severity, proportional area burnt, and vegetation type
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Data from: Defining a spectrum of integrative trait-based vegetation canopy structural types
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Size-selective exclusion of mammals and invertebrates differently affects grassland plant communities depending on vegetation type
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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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Trade-off between vegetation type, soil erosion control and surface water in global semi-arid regions: A meta-analysis
<p>Soil erosion control and water resource protection can closely interact during restoration of terrestrial ecosystems. In semi‐arid ecosystems, an urgent issue is how vegetation restoration can achieve the goal of soil erosion mitigation and water conservation, which in turn, feeds back to ecosystem functioning.</p> <p>We reviewed 78 articles from 22 countries in semi‐arid areas to evaluate the effects of vegetation type (i.e. forest, grassland and scrubland) on runoff and sediment yields across different environmental conditions (i.e. vegetation coverage, rainfall intensity, slope gradient and soil texture).</p> <p>Our meta‐analysis shows that runoff and sediment reduction both increased as the vegetation coverage increased, and tended to be stable when vegetation coverage exceeded 60%. Vegetation provided a greater benefit for sediment reduction than for runoff control under intense rainfall. Grasslands were generally more effective in reducing sediment than other vegetation types. Forests, grasslands and scrublands were most efficient in soil erosion control on 20°–30°, 0°–25° and 10°–25° slopes respectively. Grasslands and scrublands generally performed better with respect to soil erosion control on moderately coarse soils, whereas forests were most effective on medium‐textured and moderately fine soils.</p> <p>Synthesis and applications. Effective restoration and soil erosion control in semi‐arid ecosystems strongly depends on the selection of vegetation type. Our study further indicates that, for land managers, it is critical to consider local slope, and soil texture, and maintain appropriate vegetation coverage to achieve ecosystem sustainability. Grasslands might be particularly suitable to optimize the trade‐off between soil erosion control and surface water resource in semi‐arid regions.</p>
Data from: Structural complexity and large-sized trees explain shifting species richness and carbon relationship across vegetation types
<p>1. It is prominently claimed that enhancing forest diversity would play a dual role of nature conservation and climate regulation. While the idea is intuitively appealing, studies show that species richness effects on aboveground carbon (AGC) are not always positive, but instead unpredictable especially across scales and complex terrestrial systems having large-diameter and tall-stature trees. Previous studies have further considered structural complexity and larger trees as determinants of AGC. Yet it remains unclear what drives differential diversity-AGC relationships across vegetation types.</p> <p>2. Here, we test whether structural complexity and large-sized trees play an influential role in explaining shifting diversity-AGC relationships across vegetation types, using a 22.3 ha sampled dataset of 124 inventory plots in woodlands, gallery forests, tree/shrub savannahs and mixed plantations in West Africa.</p> <p>3. Natural vegetation had greater species richness and structural complexity than mixed plantations, as expected. In addition, AGC was highest in gallery forests and mixed plantations, which is consistent with favorable environmental conditions in the former and high stocking densities and presence of fast-growing species in the latter. Significant interaction effects of species richness and vegetation on AGC revealed a vegetation-dependent species richness-AGC relationship: consistently, we found positive species richness-AGC relationship in both mixed plantations and woodlands, and nonsignificant patterns in gallery forests and tree/shrub savannah. Further, there was a vegetation-dependent mediation of structural complexity in linking species richness to AGC, with stronger positive structural complexity effects where species richness-AGC relationships were positive, and stronger positive large-sized trees' effect where species richness-AGC relationships were neutral.</p> <p>4. Our study provides strong evidence of vegetation-dependent species richness-AGC relationships, which operated through differential mediation by structural complexity of the species richness and large trees' effects. We conclude that even higher species richness in diversified ecosystems may not always relate positively with AGC, and that neutral pattern may arise possibly as a result of larger dominant individual trees imposing a slow stand dynamic flux and overruling species richness effects.</p>
Substrate quality drives fungal necromass decay and decomposer community structure under contrasting vegetation types
<p>1. Fungal mycelium is increasingly recognized as a central component of soil biogeochemical cycling, yet our current understanding of the ecological controls on fungal necromass decomposition is limited to single sites and vegetation types.</p> <p>2. By deploying common fungal necromass substrates in a temperate oak savannah and hardwood forest in the midwestern USA, we assessed the generality of the rate at which high- and low-quality fungal necromass decomposes; further, we investigated how the decomposer 'necrobiome' varies both across and within sites under vegetation types dominated by either arbuscular (AM) or ectomycorrhizal (EM) plants.</p> <p>3. The effects of necromass quality on decay rate were robust to site and vegetation type differences, with high-quality fungal necromass decomposing, on average, 2.5 times faster during the initial stages of decay. Across vegetation types, bacterial and fungal communities present on decaying necromass differed from bulk soil microbial communities and were influenced by necromass quality. Moulds, yeasts and copiotrophic bacteria consistently dominated the necrobiome of high-quality fungal substrates.</p> <p>4. Synthesis: We show that regardless of differences in decay environments, high-quality fungal substrates decompose faster and support different types of decomposer microorganisms when compared with low-quality fungal tissues. These findings help to refine our theoretical understanding of the dominant factors affecting fast cycling components of soil organic matter (SOM) and the microbial communities associated with rapid decay.</p>
FIGURE. Landscapes and vegetation types at Quiçama National Park. A. Wooded savannah with Adansonia digitata. B. Mosaic of wooded savannah and thicket. C. Grassy savannah. D. Slope with thicket. E. Grassy savanna with Setaria welwitschi. F. Wooded savannah. G. Cuanza River shores with herbaceous vegetation. H. Herbaceous vegetation on the banks of the Cuanza River and slope with open forest. I. Coastal sands. J. Mangrove at the Cuanza River estuary, with Rhizophora racemosa. (Photographs by the authors). in An annotated checklist of the vascular flora of Quiçama National Park, Angola
FIGURE. Landscapes and vegetation types at Quiçama National Park. A. Wooded savannah with Adansonia digitata. B. Mosaic of wooded savannah and thicket. C. Grassy savannah. D. Slope with thicket. E. Grassy savanna with Setaria welwitschi. F. Wooded savannah. G. Cuanza River shores with herbaceous vegetation. H. Herbaceous vegetation on the banks of the Cuanza River and slope with open forest. I. Coastal sands. J. Mangrove at the Cuanza River estuary, with Rhizophora racemosa. (Photographs by the authors).
LT-Brazil: A database of leaf traits across biomes and vegetation types in Brazil
<p>The LT-Brazil data set contains observations of leaf mass per area, leaf N and P concentration per unit mass, and leaf N:P ratio from native woody species across the Brazilian territory, encompassing information of biome, vegetation, taxonomic data, geographical coordinates, climatic parameters, as well as soil properties. We compiled data from several geographical coordinates in native vegetation distributed across all biomes (i.e., Amazônia, Caatinga, Cerrado, Mata Atlântica, Pampa, and Pantanal) found in Brazil. Our compilation was focused on native woody plants (i.e., trees, shrubs, subshrubs, and lianas), excluding monocots, palm trees, herbs, and hemiparasitic plants. The compiled data set covers <em>c.</em> 9% of woody angiosperm species of Brazil. Unidentified or mixed species were also considered when met our eligibility criteria. Contributions to expand this database can be performed through our repository at GitHub (https://github.com/emariano-git/lt-brazil.git). Major versions of the LT-Brazil data set will also be made available via the TRY Plant Trait Database (https://www.try-db.org).</p>
Effects of habitat types on the dynamic changes of allocation in carbon and nitrogen storage of vegetation-soil system in sandy grasslands
<p>The progressive restoration of degraded vegetation in semiarid and arid desertified areas undoubtedly formed different habitat types. The most plants regulate their growth by fixing carbon with their energy deriving from photosynthesis, carbon (C) and nitrogen (N) play the crucial role in regulating plant growth, community structure and function in the vegetation restoration progress. However, it is still unclear how habitat types affect the dynamic changes of allocation in C and N storage of vegetation-soil system in sandy grasslands. Here, we investigated plant community characteristics and soil properties across three successional stages of habitat types: semi-fixed dunes (SFD), fixed dunes (FD) and grasslands (G) in 2011, 2013 and 2015. We also examined the C and N concentrations of vegetation-soil system, and estimated their C and N storage. The C and N storage of vegetation system, soil and vegetation-soil system remarkably increased from SFD to G. The litter C and N storage in SFD, N storage of vegetation system in SFD and N storage of soil and vegetation-soil system in FD increased from 2011 to 2015, while aboveground plant C and N storage of FD were higher in 2011 than in 2013 and 2015. Most of C and N were sequestered in soil in the vegetation restoration progress. These results suggest that the dynamic changes of allocation in C and N storage in vegetation-soil systems varied with habitat types. Our study highlights that SFD has higher N sequestration rate in vegetation, while FD has the considerably N sequestration rate in the soil.</p>
The Empowerment Model Towards Type 2 Diabetic Adults To Enhance Vegetable Intake in Achieving Glycemic Control
ClinicalTrials.gov study NCT01828242. IPD Sharing: Not stated. Countries: 1. Publications: 9.
Farming for Life - Health Impact of Organic Vegetable Prescriptions for Adults Living With or at Risk of Type 2 Diabetes
ClinicalTrials.gov study NCT03940300. IPD Sharing: Not stated. Countries: 1. Publications: 1.
ScienceDex guides
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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
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.