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247 results for “forest types”
Ancient forest statistics (Daubrée statistics 1908, decennial agricultural statistics of 1892 and 1929) describing French forest area by department administrative units, ownership and forest management types
<p>This dataset provides three ancient forest statistics: i) the first comprehensive French forest statistics (termed <em>Daubrée</em> statistics), ii) the decennial agricultural statistics of 1892, iii) the decennial agricultural statistics of 1929. The three ancient statistics provide information about the French forest area and the annual forest volume harvested at the department administrative level (EU/EC NUTS-3 units) split by legal category of ownership and forest management type. Afforestation rates are provided at NUTS-3 level ( and split by legal category of ownership only in <em>Daubrée</em> statistics). Only in <em>Daubrée</em> statistics, the tree species-specific forest areas are also presented by NUTS-3 level and broken down by legal category of ownership. Finally, the number of private forest owners is indicated by NUTS-3 administrative level in 1929 statistics and in <em>Daubrée</em> statistics. This dataset can be used to understand the past forest dynamics, the impact of past forest policies on French forests, the evolution of major tree biodiversity in France.</p>
Fixed or mixed? variation in tree functional types and vegetation structure in a forest-savanna ecotone in West Africa
<p></p><p>We analysed thirty-five 400-m<sup>2</sup> plots encompassing forest, savanna and intermediate vegetation types in an ecotonal area in Ghana, West Africa. Across all plots, fire frequency was over a period of 15 years relatively uniform (once in 2–4 years). Although woodlands were dominated by species typically associated with savanna-type formations, and with forest formations dominated by species usually associated with closed canopies, these associations were non-obligatory and with a discrete non-specialized species grouping also identified. Across all plots, crown area index, stem basal area and above-ground biomass were positively associated with higher soil exchangeable potassium and silt contents: this supporting recent suggestions of interplays between potassium and soil water storage potential as a significant influence on tropical vegetation structure. We also found an average NDVI cover increase of ~0.15% year<sup>−1</sup> (1984–2011) with plots dominated by non-specialized species increasing more than those dominated by either forest- or savanna-affiliated species. Our results challenge the traditional view of a simple forest vs. savanna dichotomy controlled by fire, and with our newly identified third non-specialized species grouping also potentially important in understanding ecotonal responses to climate change.</p><p></p>
Forest soil acidification consistently reduces litter decomposition irrespective of nutrient availability and litter type
<p><span><span>Nitrogen (N), phosphorus (P), and acid deposition are co-occurring in many ecosystems, likely with complex interactive effects on litter decomposition. </span></span></p> <p><span><span>Few studies have been conducted to distinguish the interactive effects of these three factors on forest litter decomposition. Thus, we performed a 5-year litter decomposition experiment with N, P, acid addition in a temperate forest of Changbai Mountain in China, including four litter types from <i>Pinus koraiensis</i>, <i>Quercus mongolica</i>, <i>Tilia amurensis</i> and their mixtures. </span></span></p> <p><span><span>Our results showed that acid addition consistently reduced litter decomposition rate, irrespective of nutrient addition or litter types. In contrast, N and P addition had less impact on litter decomposition. Litter decomposition rate linearly reduced with decreasing soil pH, but positively increased with soil N availability. No relationship was found between soil P availability and litter decomposition. Soil enzyme activity played a key role in regulating litter decomposition response, such as acid phosphatase, xylosidase, N-cacetyl-b-D-glucosaminidase and α-1,4 glucosidase. Besides, low-quality litter (i.e. high C concentration, C:N and C:P ratio) amplified the negative effect of soil acidification on litter decomposition. </span></span></p> <p><span><span>This study suggests that soil acidification consistently decelerates litter decomposition in temperate forests, which is independent of soil nutrient availability and litter types. The intensifying soil acidification with continuous N deposition in the future will greatly reduce litter nutrient return to soil, increasing the risk of multiple soil nutrient limitation.</span></span></p>
Data from: Large-scale fungal diversity assessment in the Andean Yungas forests reveals strong community turnover among forest types along an altitudinal gradient
The Yungas, a system of tropical and subtropical montane forests on the eastern slopes of the Andes, are extremely diverse and severely threatened by anthropogenic pressure and climate change. Previous mycological works focused on macrofungi (e.g., agarics, polypores) and mycorrhizae in Alnus acuminata forests, while fungal diversity in other parts of the Yungas has remained mostly unexplored. We carried out Ion Torrent sequencing of ITS2 rDNA from soil samples taken at 24 sites along the entire latitudinal extent of the Yungas in Argentina. The sampled sites represent the three altitudinal forest types: the piedmont (400–700 masl), montane (700–1500 masl), and montane cloud (1500–3000 masl) forests. The deep sequence data presented here (i.e. 4 108 126 quality-filtered sequences) indicate that fungal community composition correlates most strongly with elevation, with many fungi showing preference for a certain altitudinal forest type. For example, ectomycorrhizal and root endophytic fungi were most diverse in the montane cloud forests, particularly at sites dominated by Alnus acuminata, while the diversity values of various saprobic groups were highest at lower elevations. Despite the strong altitudinal community turnover, fungal diversity was comparable across the different zonal forest types. Besides elevation, soil pH, N, P, and organic matter contents correlated with fungal community structure as well, although most of these variables were co-correlated with elevation. Our data provide an unprecedented insight into the high diversity and spatial distribution of fungi in the Yungas forests.
Training dataset for land type detection on Sentinel-2 images (annotations: build-up, rural, forest, water)
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Dataset for "Alternative stable states of forest types"
<p>Source data to reproduce figures in the main manuscript</p>
Influence of soil type and vertical zonation on soil fungal communities associated with natural jack pine forests
<p>Natural jack pine forests established on sandy eskers and clayey soils represent a unique habitat in the boreal forest in northeastern Canada and are generally associated with well-differentiated soil horizons, but little is known regarding their soil fungal diversity and how soil type and vertical zonation would shape their communities. To address this question, we characterized soil fungal communities from litter, organic and mineral horizons in 18 natural jack pine forests in esker and clayey soils using ITS2 rDNA metabarcoding. Ectomycorrhizal fungi dominated the organic and mineral horizons in esker soils, while saprotrophic fungi were dominant in clayey soils. The dominance of ectomycorrhizal fungi coincided with higher C accumulation within the organic horizon in esker soils. The nutrient-poor and more acidic esker sites harbored less diverse ectomycorrhizal and saprotrophic communities than clayey soils. Several stress-tolerant and melanin-rich fungal taxa were indicators of esker soils. However, fungal communities were more distinct between horizons than soil types and soil type effects differed along the soil profile. Our findings highlight the need to fill knowledge gaps in soil fungal diversity associated with jack pine forests and pave the way for adapted and multi-resource forest management in esker forest ecosystems considering their underground fungal specificities.</p>
FIGURE 29 in Type specimens of Chrysomelidae and Megalopodidae (Coleoptera) in the National Forest Insect Collection (NFIC), Forest Research Institute, Dehra Dun, India
FIGURE 29. Type of Megalopodidae deposited in NFIC. 29, Temnaspis quadriplagiatus, Cotype.
FIGURE 4 in Type specimens of Chrysomelidae and Megalopodidae (Coleoptera) in the National Forest Insect Collection (NFIC), Forest Research Institute, Dehra Dun, India
FIGURE 4. Types of Chrysomelidae deposited in NFIC. 4, Bruchus albocallosus, Cotype.
Supplementary material 2 from: Kokkoris I, Dimopoulos P, Xystrakis F, Tsiripidis I (2018) National scale ecosystem condition assessment with emphasis on forest types in Greece. One Ecosystem 3: e25434. https://doi.org/10.3897/oneeco.3.e25434
Diversity Shannon/index
FIGURE 1 in Rediscovery, considerations about type locality and conservation of Rhipsalis agudoensis (Cactaceae) from the Brazilian Atlantic Forest
FIGURE 1. Distribution map of Rhipsalis agudoensis.
Forest soil acidification consistently reduces litter decomposition irrespective of nutrient availability and litter type
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Data from: Large-scale fungal diversity assessment in the Andean Yungas forests reveals strong community turnover among forest types along an altitudinal gradient
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Influence of soil type and vertical zonation on soil fungal communities associated with natural jack pine forests
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Fixed or mixed? variation in tree functional types and vegetation structure in a forest-savanna ecotone in West Africa
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Data from: Land use types influenced avian assemblage structure in a forest–agriculture landscape in Ghana
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Data from: Variation in three community features across habitat types and scales within a 15-ha subtropical evergreen-deciduous broadleaved mixed forest dynamics plot in China
The evergreen and deciduous broadleaved mixed forests (EDBMFs) belong to one of the ecosystems most sensitive to environmental change, however, little is known about the environmental determinants for their plant diversity and forest structure at different habitat types and spatial scales. Here, we used data from a 15-ha (300×500 m) forest dynamic plot (FDP) of an old-growth EDBMF to examine the patterns and determinants of the three community features (stem abundance, rarefied species richness and basal area) in three habitat types (ridge, hillside and foothill) and at three spatial scales (20×20 m, 50×50 m and 100×100 m). We found that the three community features significantly changed with habitat type, but only one of them (rarefied richness) changed with scale. Among spatial scales, the principle environmental factors that widely affected community features were pH, SOM and TP, while these effects only taken place at certain habitat. Variations in the three community features explained by soil conditions were generally greater than those explained by topographical conditions. With changes in habitat type, the proportion of variations explained by environmental conditions was 31-53%, 8-25%, and 18-26% for abundance, rarefied richness and basal area (BA), respectively. With increasing spatial scale, the variations explained by environmental conditions were 44-75% for abundance, 28-95% for rarefied richness, and 18-86% for BA. Our study demonstrated that environmental factors had great impacts on the plant diversity and forest structure in the EDBMFs, especially the soil factors such as pH. In addition, the importance of the environmental determinants on these community features was highly related to the spatial scale.
Bedrock type reversed latitudinal biodiversity gradient patterns in forest communities
<p>The data supporting the findings of the study titled "Bedrock type reversed latitudinal biodiversity gradient patterns in forest communities". Lithology mediated the intrinsicly climatic effects on latitudinal diversity gradient (LDG) through controlling the soil stock as the substrate resource storage capacity and thus forming the opposite LDG pattern in karst forests. </p>
Data from: Variation in three community features across habitat types and scales within a 15-ha subtropical evergreen-deciduous broadleaved mixed forest dynamics plot in China
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Forest fire compounded by fire types and aspects causes no significant impacts on most soil mineral properties of post-fire black pine forests
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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.