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54 results for “ecosystem type”
Dominant plant species in different growth form categories in various ecosystem types
<p>The table contains a list of vegetation parameter values of dominant plant species in different growth form categories in various ecosystem types based on their importance value indices (IVI) (max. IVI for tree and pole category = 300; max. IVI for sapling and seedling category = 200) in Bantimurung Bulusaraung National Park (BBNP) and Hasanuddin University Educational Forest (HUEF), South Sulawesi.</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>
Dominant plant species in different growth form categories in various ecosystem types
<p>The table contains a list of vegetation parameter values of dominant plant species in different growth form categories in various ecosystem types based on their importance value indices (IVI) (max. IVI for tree and pole category = 300; max. IVI for sapling and seedling category = 200) in Bantimurung Bulusaraung National Park (BBNP) and Hasanuddin University Educational Forest (HUEF), South Sulawesi.</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>
Composite landscape predictors improve distribution models of ecosystem types
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Single species acute lethal toxicity tests are not predictive of relative population, community and ecosystem effects of two salinity types
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Trophic cascade within and across ecosystems: the role of anti-predatory defenses, predator type, and detritus quality
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Impacts of compost amendment type and application frequency on a fire-impacted grassland ecosystem
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Data from: Soil macrofauna communities vary by land use type and environmental conditions in the Serengeti-Mara ecosystem
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Data from: Type Maastrichtian gastropod faunas evidencing rapid ecosystem recovery following the Cretaceous-Palaeogene boundary
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Data from: Species contributions to ecosystem stability change with disturbance type
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Contrasting fungal responses to wildfire across different ecosystem types
<p>We took topsoil samples in burned and unburned areas across two California ecosystem types (Sonoma, California, United States) with differing fire ecologies in the immediate aftermath of a damaging wildfire in 2017. From our soil samples, we extracted DNA, amplified and sequenced fungal communities, and also measured chemistry (C%, N% and pH). Soil fungal communities of fire‐dependent oak woodlands differ from those of neighbouring mixed evergreen forests. The latter are more strongly altered compositionally by fire than the former. This repository contains code to run the analyses we presented in the associated paper (doi: 10.1111/mec.15767), as well as a phyloseq object with the molecular data and a few CSVs with the sample metadata.</p>
Data from: Equilibrium and non-equilibrium phases in the radiation of Hakea and the drivers of diversity in Mediterranean-Type Ecosystems
Mediterranean-Type ecosystems (MTEs) contain exceptional plant diversity. Explanations for this diversity are usually classed as either "equilibrium", with elevated MTE diversity resulting from greater ecological carrying capacities, or "non-equilibrium", with MTEs having a greater accumulation of diversity over time. These models have typically been considered as mutually exclusive. Here we present a trait-based explanatory framework that incorporates both equilibrium and non-equilibrium dynamics. Using a large continental Australian plant radiation (Hakea) as a case study, we identify traits associated with niche partitioning in co-occurring species (α traits) and with environmental filtering (β traits), and reconstruct the mode and relative timing of diversification of these traits. Our results point to a radiation with an early, non-equilibrium phase marked by divergence of β traits as Hakea diversified exponentially and expanded from the southwest Australian MTE into biomes across the Australian continent. This was followed from 7Mya by an equilibrium phase, marked by diversification of α traits and a slowdown in lineage diversification as the MTE niches became saturated. These results suggest that processes consistent with both equilibrium and non-equilibrium models have been important during different stages of the radiation of Hakea, and together they provide a richer explanation of present-day diversity patterns.
Data from: Effects of experimental warming on biodiversity depend on ecosystem type and local species composition
Climatic warming is a primary driver of change in ecosystems worldwide. Here, we synthesize responses of species richness and evenness from 187 experimental warming studies in a quantitative meta-analysis. We asked 1) whether effects of warming on diversity were detectable and consistent across terrestrial, freshwater and marine ecosystems, 2) if effects on diversity correlated with intensity, duration, and experimental unit size of temperature change manipulations, and 3) whether these experimental effects on diversity interacted with ecosystem types. Using multilevel mixed linear models and model averaging, we also tested the relative importance of variables that described uncontrolled environmental variation and attributes of experimental units. Overall, experimental warming reduced richness across ecosystems (mean log-response ratio = –0.091, 95% bootstrapped CI: –0.13, –0.05) representing an 8.9% decline relative to ambient temperature treatments. Richness did not change in response to warming in freshwater systems, but was more strongly negative in terrestrial (–11.8%) and marine (–10.5%) experiments. In contrast, warming impacts on evenness were neutral overall and in aquatic systems, but weakly negative on land (7.6%). Intensity and duration of experimental warming did not explain variation in diversity responses, but negative effects on richness were stronger in smaller experimental units, particularly in marine systems. Model-averaged parameter estimation confirmed these main effects while accounting for variation in latitude, ambient temperature at the sites of manipulations, venue (field versus lab), community trophic type, and whether experiments were open or closed to colonization. These analyses synthesize extensive experimental evidence showing declines in local richness with increased temperature, particularly in terrestrial and marine communities. However, the more variable effects of warming on evenness were better explained by the random effect of site identity, suggesting that effects on species' relative abundances were contingent on local species composition.
Raw Data for 'A Systematic Classification and Labelling Approach to Support a Circular Economy Ecosystem for NdFeB-Type Magnet'
<p>Raw Data for the paper "A Systematic Classification and Labelling Approach to Support a Circular Economy Ecosystem for NdFeB-Type Magnet" </p>
Supplementary material 1 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
Updated list of the habitat types (Annex I of Dir. 92/43/EEC and habitat types of Greek interest) occurring in Greece (Dimopoulos et al. 2018).
Effects of multiple types' ecological factors on the body mass of small rodents in a forest ecosystem
<p><span>The body mass of animals is directly or indirectly affected by multiple ecological factors. However, the effects of ecological factors on body mass are controversial, and a comprehensive study dealing with diverse ecological factors is rare. This study was performed to determine the effects of ecological factors on the body mass of small rodents in a </span><span>natural deciduous forest</span><span> located on</span><span> Mt. Gariwang, </span><span>Pyeongchang, and Jeongseon, South Korea from May 2019 to October 2020. We classified ecological factors into topographic, climatic, cover, and demographic factors. T</span><span>hree forest-dwelling small rodent species, striped field mouse (<em>Apodemus agrarius</em>), Korean field mouse (<em>A. peninsulae</em>), and red-backed vole (<em>Myodes regulus</em>), were captured using </span><span>the capture-mark-recapture method</span><span>. The findings showed that the b</span><span>ody mass of three rodent species was not regulated by topographic factors. In addition, a high ambient temperature resulted in a heavy body mass for <em>A. agrarius</em> and <em>A. peninsulae</em>, and the <em>A. agrarius</em> body mass was negatively affected by extreme rainfall. The body mass of each rodent species had a specific response to the cover factors: ground vegetation, understory vegetation, or downed trees. The three species showed sexual dimorphism and two <em>Apodemus</em> species competed with each other. This study reveals that ecological factors affecting body mass differ among species. </span><span>Our findings contribute to enhancing the understanding of variation in the body mass of animals, particularly small rodents, in response to diverse ecological factors.</span></p>
Effects of multiple types’ ecological factors on the body mass of small rodents in a forest ecosystem
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Data from: Climate effects on fish body size-trophic position relationship depend on ecosystem type
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Data from: Butterfly community ecology: the influences of habitat type, weather patterns, and dominant species in a temperate ecosystem
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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.