Find research datasets worth reusing
Search datasets from major research repositories and use ShareScore to quickly assess how well each record supports discovery, access, and reuse.
256
datasets available to search
ShareScore release 0.7.1
Dataset results
256 results for “Forest Ecology”
Figure 2 in Ecology and reproductive biology of two species of Aplastodiscus (Anura: Hylidae) in the Atlantic forest, Brazil
Figure 2. Number of courtship displays observed for Aplastodiscus leucopygius (grey columns) and A. arildae (black columns) in the Serra do Japi, municipalty of Jundiai, State of São Paulo, Brazil.
Figure 1 in Ecology and reproductive biology of two species of Aplastodiscus (Anura: Hylidae) in the Atlantic forest, Brazil
Figure 1. (A) Maximum number of males of Aplastodiscus arildae in calling activity in the studied stream; (B) maximum number of males of A. leucopygius in calling activity in three habitats (stream, swamp, and lake) in the Serra do Japi, municipality of Jundiaı´, State of São Paulo, Brazil.
Fig. 5 in Feeding ecology of Auchenipterichthys longimanus (Siluriformes: Auchenipteridae) in a riparian flooded forest of Eastern Amazonia, Brazil
Fig. 5. Repletion index (RI%) of Auchenipterichthys longimanus from rivers of National Forest of Caxiuanã (PA, Brazil) related to hydrological periods.
Fig. 2 in Feeding ecology of Auchenipterichthys longimanus (Siluriformes: Auchenipteridae) in a riparian flooded forest of Eastern Amazonia, Brazil
Fig. 2. Fluviometry from the rivers of the Caxiuanã National Forest in the period between July 2008 and July 2009. Data obtained from the fluviometric station of Caiçara of the National Water Agency (ANA).
Fig. 3 in Feeding ecology of Auchenipterichthys longimanus (Siluriformes: Auchenipteridae) in a riparian flooded forest of Eastern Amazonia, Brazil
Fig. 3. (a) Graphic representation of the non-metric multidimensional scaling analysis (NMDS) of the diet of Auchenipterichthys
Fig. 1 in Feeding ecology of Auchenipterichthys longimanus (Siluriformes: Auchenipteridae) in a riparian flooded forest of Eastern Amazonia, Brazil
Fig. 1. Location of the Caxiuanã National Forest, showing the rivers where the fish were collected. Curuá River - Ferreira Penna Research Station (ECFPn), Caxiuanã River, Puraquequara River and Caquajó River. Some black spots represent more than one collection site.
Fig. 4 in Feeding ecology of Auchenipterichthys longimanus (Siluriformes: Auchenipteridae) in a riparian flooded forest of Eastern Amazonia, Brazil
Fig. 4. Trophic niche breadth (Levins index; B) of the a midnight catfish Auchenipterichthys longimanus from rivers of the Caxiuanã National Forest of (PA, Brazil) related to hydrological periods.
Fig. 3 in Feeding ecology of a stream fish assemblage in an Atlantic Forest remnant (Serra do Japi, SP, Brazil)
Fig. 3. Biomass (g.m-2) of the different trophic groups of fish at each collecting site in Serra do Japi (SP) streams.
Fig. 4 in Feeding ecology of a stream fish assemblage in an Atlantic Forest remnant (Serra do Japi, SP, Brazil)
Fig. 4. Canonical Correspondence Analysis (CCA) showing the relationship between the biomass of insectivores (INS), omnivores (ONI), herbivores (HER), detritivores (DET), piscivores (PIS), omnivores-carnivores (O.CAR) and selected environmental variables. Temp = temperature; Veloc = Water Velocity; T.Nit = total nitrogen, Cond= Conductivity.
Fig. 2 a-b in Feeding ecology of a stream fish assemblage in an Atlantic Forest remnant (Serra do Japi, SP, Brazil)
Fig. 2 a-b. Scores of NMDS for the fish species (a) and food items (b) along the axes 1 and 2. Circles and rectangles (a) indicate trophic groups formed by the similarity array. Benthic insectivores (I), insectivores (II), detritivores (III), herbivores (IV), omnivores (V), piscivores (VI), omnivore-carnivores (VII). (b) Alg = algae; Det = detritus; OMt = organic matter; VMt = vegetal matter; Oth = others, YIn = young insects; Fis=fish; AIn = adult insects; InF = insect fragments, Nem= nematodes; Ann = Annelidae, Crs = Crustacea. Codes of species are shown in Table 2.
Impact of forest disturbance on microarthropod communities depends on underlying ecological gradient and species traits
<p>Dataset and R scripts used in the publication "Impact of forest disturbance on microarthropod communities depends on underlying ecological gradient and species traits", PeerJ</p>
Non-trophic interactions amplify kelp harvest-induced biomass oscillations and biomass changes in a kelp forest ecological network model
Open the record for dataset details and reuse information.
Data from: Long-term cattle grazing shifts the ecological state of forest soils
Open the record for dataset details and reuse information.
Data and R code for “Tree regeneration response to a shifting soil nutrient economy depends on mycorrhizal association and age”, Forest Ecology and Management, 2022
Atmospheric nitrogen (N) deposition has led to an increase in N cycling and N availability. This increase in inorganic N is likely to impact forest ecosystems, although the responses remain uncertain. Most tree species are associated with one of two mycorrhiza types – arbuscular mycorrhizae (AM) or ectomycorrhiza (ECM). Due to functional differences in their ability to access soil nutrients, we might expect that increased N cycling and availability of inorganic N would benefit AM associated species, with negative or neutral impact for ECM associated species. This study addresses how the abundance of the regeneration layer responds to those shifting soil conditions, based on their mycorrhizal association. We used a long-term experiment located in a temperate deciduous forest, where the native acidic soils are low in nutrients. Soil treatments began in 2009, by adding lime and/or phosphate to raise pH and increase the availability of N and P. All trees ≥ 6.0 cm in 2010 were tagged and have been monitored with annual censuses. To quantity the density of the regeneration layer, seedlings and saplings were recorded in the control and limed plots in 2019. Trees that had recruited into the canopy (DBH ≥ 6.0 cm) were measured in 2020 in all treatment plots. Seedlings older than one year responded to the treatments as predicted, as AM seedlings increased by 42% in the lime treatment (1.53 ± 0.38 individuals per m2 in control, to 2.17 ± 0.56 in lime) and ECM seedlings decreased by 49% in response to liming (0.61 ± 0.14 individuals per m2 in control, to 0.31 ± 0.04 in lime). AM saplings also responded positively to liming, increasing 254% from control to lime (from 0.013 ± 0.003 to 0.046 ± 0.018 individuals per m2), while ECM sapling abundance was neutral (0.063 ± 0.015 individuals per m2 in control, and 0.054 ± 0.009 in lime). The highest number of ECM recruits was found in the control plots (34.4%), followed by phosphate (25.8%), lime + phosphate (21.5%), then lime (18.3%).
Data from: Fire catalyzed rapid ecological change in lowland coniferous forests of the Pacific Northwest over the past 14,000 years
Disturbance can catalyze rapid ecological change by causing widespread mortality and initiating successional pathways, and during times of climate change, disturbance may contribute to ecosystem state changes by initiating a new successional pathway. In the Pacific Northwest of North America (PNW), disturbance by wildfires strongly shapes the composition and structure of lowland forests, but understanding the role of fire over periods of climate change is challenging, because fire-return intervals are long (e.g., millennia) and the coniferous trees dominating these forests can live for many centuries. We developed stand-scale paleorecords of vegetation and fire that span nearly the past 14,000 yr to study how fire was associated with state changes and rapid dynamics in forest vegetation at the stand scale (1–3 ha). We studied forest history with sediment cores from small hollow sites in the Marckworth State Forest, located ~1 km apart in the Tsuga heterophylla Zone in the Puget Lowland ecoregion of western Washington, USA. The median rate of change in pollen/spore assemblages was similar between sites (0.12 and 0.14% per year), but at both sites, rates of change increased significantly following fire events (ranging up to 1% per year, with a median of 0.28 and 0.38%, P < 0.003). During times of low climate velocity, forest composition was resilient to fires, which initiated successional pathways leading back to the dominant vegetation type. In contrast, during times of high climate variability and velocity (e.g., the early Holocene) forests were not resilient to fires, which triggered large-scale state changes. These records provide clear evidence that disturbance, in the form of an individual fire event, can be an important catalyst for rapid state changes, accelerating vegetation shifts in response to large-scale climate change.
Dataset supplementing Lichtenberg et al. (2017) Foraging traits modulate stingless bee community disassembly under forest loss. Journal of Animal Ecology
<p>This dataset contains data and scripts that supplement the publication</p> <p>Lichtenberg et al. (2017) Foraging traits modulate stingless bee community disassembly under forest loss. Journal of Animal Ecology. DOI 10.1111/1365-2656.12747.</p> <p> </p> <p>Please cite the above article if you use any of the included data or code.</p> <p> </p> <p>Files are described in README.md.</p>
Diversity patterns along ecological succession in tropical dry forests: A multi-taxonomic approach
<p>Evaluating the diversity of multiple taxa is fundamental to understand community assembly and to assess the integrity and functionality of tropical secondary forests. In this study, we analyzed the natural regeneration of tropical dry forests (TDFs) in three regions of Brazil using Hill-Simpson diversity, abundance and β-diversity of trees and five groups of insects (herbivores, fruit-feeding butterflies, ants, culicid mosquitoes and dung beetles). Sampling was conducted in 39 0.1 ha plots using a chronosequence approach (13 plots in early, intermediate and old-growth forests). We evaluated the contribution of three different levels to γ-diversity: α (within plots), β¹ (among plots) and β² (among successional stages), and further determined the relative importance of turnover (species replacement) and nestedness (differences in species number among sites) to β². Our results showed that, unexpectedly, the Hill-Simpson diversity was consistently higher in early than old-growth stages for all regions, but varied more widely in the intermediate stages. For each group separately, the same trend was observed for butterflies, ants, dung beetles and herbivores and did not differ among stages for mosquitoes. Successional differences in abundance were only detected for trees (increasing along the gradient) and for mosquitoes (decreasing). According to our expectations, the additive partitioning analysis showed that β2-diversity contributed more to γ-diversity than β1-diversity, when all taxa were considered together and for most of them separately (except for butterflies and dung beetles). Most of the β²-diversity was due to species turnover, but this contribution varied among groups and regions, with the highest turnover for herbivores and the lowest for dung beetles. Our results suggest that the Hill-Simpson diversity and changes in species composition (as given by β²-diversity) are better indicators of forest natural regeneration than raw species richness, corroborating previous studies with plants and animals.</p>
Stem data from first three censuses on the University of California Santa Cruz Forest Ecology Research Plot
<p>Here we present stem-based data from the first three censuses of the 16-ha UC Santa Cruz Forest Ecology Research Plot, located in the Mediterranean climate forest of coastal central California, USA. The forest includes both mixed evergreen forest and redwood-dominated forest, and is recovering from significant logging disturbance in the early 20th century. Each woody stem with diameter larger than 1 cm has been mapped, tagged, identified, and measured, with censuses on a ~5-year interval. The first census (FERP1) began in 2007, and included just 6 ha. During FERP2, begun in 2011, the plot was expanded to 16 ha. The FERP3 census was begun in 2017. The community includes 34 woody species, including 4 gymnosperm and 9 angiosperm tree species, 18 species of shrubs, and 3 species of lianas. Across the three censuses, we report identity, size, location, and mortality data from 48,556 stems of 31,206 mapped individuals.</p>
Data from: forest stand dynamics of a short-stature tree species: ecological knowledge for sustainable forest management
<p>This data set is a forest inventory of <em>Nothofagus antarctica</em> in southern Chile. More than 20 sites were selected. In each site, parallel transects were set and every 30 m a sampling point was set where the distance to the nearest four trees (in accordance with the cardinal points) were measured.</p>
Figure 27 in Population ecology of Ctenolepisma (C.) udumalpetense (Insecta: Zygentoma: Lepismatidae) in a deciduous forest floor of the Trimurti Dam, Tamil Nadu, India
Figure 27. Regression of pH on C. (C.) udumalpetense population in third row.
ScienceDex guides
Understand access before you commit
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.