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328 results for “ecological community”

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zenodo36/100

Evaluation of the impact of chemical control on the ecology of Rattus norvegicus of an urban community in Salvador, Brazil

<p>dataset of rodent trapping in a pre/post-intervention scheme. Check publication of the same name for details on the study design. File contains complete comprehensive codebook.</p>

opencc-by-4.0Jun 2022View details →
dryad36/100

Dataset on foraging ecology of shrubland bird community

<p>Habitat loss due to increasing anthropogenic disturbance is the major driver for bird population declines across the globe. Within the Eastern Ghats of India, shrubland bird communities are threatened by shrinking of suitable habitats due to increased anthropogenic disturbance and climate change. Development of an effective habitat management strategy is hampered by the absence of data for this bird community. To address this knowledge gap, we examined foraging sites for 14 shrubland bird species, including three declining species, in three study areas representing the shrubland type of forest community in the Eastern Ghats. We recorded microhabitat features within an 11 m radius of observed foraging points and compared these data with similar data from random plots. We used chi-square to test the association between plant species and bird species for sites where they were observed foraging. We observed significant differences between foraging sites of all the study species and random plots, thus indicating selection for foraging habitat. Using linear discriminant analysis, we found that the microhabitat features important for the bird species were shrub density, vegetational height, vertical foliage stratification, grass height, and percent rock cover. Our results show that diet guild and foraging strata influence the foraging microhabitat selection of a species (e.g., ground-foraging species differed significantly from other species). Except for two species, all focal birds were associated with at least one plant species. The plant-bird association was based on foraging, structural, or behavioral preferences. Several key factors affecting foraging habitat such as shrub density can be actively managed at the local scale. Strategic and selective harvesting of forest products and a spatially and temporally controlled livestock grazing regime may allow regeneration of scrubland and create conditions favorable to birds.</p>

opencc-zeroJun 2022View details →
dryad36/100

Spatial phylogenetic and phenotypic patterns reveal ontogenetic shifts in ecological processes of plant community assembly

The analysis of spatial phylogenetic and phenotypic structure of plant communities provides insight into the underlying processes and interactions governing their assembly, and how these may change during plant ontogeny. We used point pattern analysis to find out if saplings and adult plants are surrounded by phylogenetically and phenotypically more similar or dissimilar neighbours than expected by chance, and whether these associations change from the sapling to the adult stage. To this end, we combined information on the phylogenetic structure and eight phenotypic traits of 15 woody plant species in two Mediterranean mixed forests of southeastern Spain. At the community level, we found that the sapling bank at both sites did not show phylogenetic or phenotypic spatial patterns, but adults showed phylogenetic clustering (i.e., heterospecific neighbours were more similar than expected). At the species level, we found frequently repulsive patterns in the sapling bank of less abundant species (i.e., heterospecific sapling or adult neighbours were more dissimilar than expected) in both, phylogenetic and phenotypic analyses. For the adult stage, we found phylogenetic attraction (i.e., more similar neighbours) in just one species and phenotypic clustering in four species. The processes driving the assembly of the communities of saplings and adults leave detectable signals in the spatial phylogenetic and phenotypic structure of our two forest communities. Our findings reinforce the existence of ontogenetic shifts in the mechanisms involved in plant community assembly. Facilitation between phylogenetically distant and phenotypically divergent species favours the recruitment of less abundant species. However, processes acting later in the ontogeny ameliorate the competition between close relatives and determine the spatial structure of adult plants. Nevertheless, the role of phenotype in shaping adult-adult interactions was context- and trait-dependent. The use of spatial point pattern analysis allowed a nuanced interpretation of the phylogenetic and phenotypic structures of the plant community.

opencc-zeroAug 2022View details →
dryad36/100

Data for: Social-ecological vulnerability of fishing communities to climate change: a U.S. West Coast case study

<p><span>Climate change is already impacting coastal communities, and ongoing and future </span><span>shifts in fisheries species productivity from climate change have implications for the </span><span>livelihoods and cultures of coastal communities. Harvested marine species in the </span><span>California Current Large Marine Ecosystem support U.S. West Coast communities </span><span>economically, socially, and culturally. Ecological vulnerability assessments exist for </span><span>individual species in the California Current but ecological and human vulnerability are </span><span>linked and vulnerability is expected to vary by community. Here, we present </span><span>automatable, reproducible methods for assessing the vulnerability of U.S. West Coast </span><span>fishing-dependent communities to climate change within a social-ecological </span><span>vulnerability framework. We first assessed the ecological risk of marine resources, on </span><span>which fishing communities rely, to 50 years of climate change projections. We then </span><span>combined this with the adaptive capacity of fishing communities, based on social </span><span>indicators, to assess the potential ability of communities to cope with future changes. </span><span>Specific communities (particularly in Washington state) were determined to be at risk to </span><span>climate change mainly due to economic reliance on at risk marine fisheries species, </span><span>like salmon, hake, or sea urchins. But, due to higher social adaptive capacity, these </span><span>communities were often not found to be the most vulnerable overall. Conversely, </span><span>certain communities that were not the most at risk, ecologically and economically, </span><span>ranked in the category of highly vulnerable communities due to low adaptive capacity </span><span>based on social indicators (particularly in Southern California). Certain communities </span><span>were both ecologically at risk due to catch composition and socially vulnerable (low </span><span>adaptive capacity) leading to the highest tier of vulnerability. The integration of climatic, </span><span>ecological, economic, and societal data reveals that factors underlying vulnerability are </span><span>variable across fishing communities on the U.S West Coast, and suggests the need to </span><span>develop a variety of well-aligned strategies to adapt to the ecological impacts of climate </span><span>change.</span></p>

opencc-zeroAug 2022View details →
dryad36/100

Ecology and evolution of competitive trait variation in natural phytoplankton communities under selection

<p>Competition for limiting resources is a major force structuring ecological communities. Species minimum resource requirements (<em>R*</em>s) can predict competitive outcomes and evolve under selection in simple communities under controlled conditions. However, whether <em>R*</em>s predict competitive outcomes or demonstrate adaptive evolution in naturally complex communities is unknown. We subjected natural phytoplankton communities to three types of resource limitation (nitrogen, phosphorus, light) in outdoor mesocosms over ten weeks. We examined the community composition weekly and isolated 21 phytoplankton strains from seven species to quantify responses to selection of R* for these resources. We investigated evolutionary change in R*s in the dominant species, <em>Desmodesmus armatus</em>. <em>R*</em>s were good predictors of species changes in relative abundance, though this was largely driven by the success of <em>D. armatus </em>across several treatments. This species also demonstrated evolutionary change in <em>R*</em>s under resource limitation, supporting the potential for adaptive trait change to modify competitive outcomes in natural communities.</p>

opencc-zeroAug 2022View details →
zenodo36/100

Data from: Phenological mismatches mitigate the ecological impact of a biological invader on amphibian communities

<p>Data and code for the manuscript entitled "Phenological mismatches mitigate the ecological impact of a biological invader on amphibian communities" for Ecological Applications (2024).&nbsp;<br><br><br><br>The raw sequencing data was submitted to NCBI&rsquo;s Sequence Read Archive (SRA) under BioProject number PRJNA1023717 (https://dataview.ncbi.nlm.nih.gov/object/PRJNA1023717?reviewer=rciv7kme2qq5vpcnqqog4vjioo).&nbsp;</p>

opencc-by-4.0Apr 2024View details →
dryad36/100

Data from: Community ecology in a bottle: Leveraging eDNA metabarcoding data to predict occupancy of co-occurring species

<p>Detecting environmental DNA (eDNA) of numerous organisms from the same samples has been revolutionized by metabarcoding. However, utilizing the vast amounts of data generated from metabarcoding to predict occupancy probabilities for co-occurring species is currently rare. Here, we demonstrate how metabarcoding data can be used to advance community ecology research through a case study using replicate stream water samples and Bayesian occupancy models to test hypotheses of eDNA occurrence for a native fish (brook trout, Salvelinus fontinalis), its major ectoparasite (gill lice, Salmincola edwardsii), and an introduced potential competitor (brown trout, Salmo trutta). Gill lice DNA occupancy was positively associated with brook trout biomass determined via electrofishing conducted near eDNA sampling sites, suggesting gill lice occupancy is dependent on host density. Leveraging site-specific molecular operational taxonomic units identified from metabarcoding, DNA occupancy of trout and gill lice was often positively predicted by species richness of aquatic insect orders trout commonly feed on, which are also environmental quality indicators. Thus, high-quality habitat that environmentally sensitive salmonids and their primary prey rely on may promote higher fish occupancy rates, further facilitating the spread of fish parasites. An increasing amount of community-level data is being generated from global metabarcoding efforts, and we suggest our framework could be broadly implemented to enhance understanding of factors impacting distributions of co-occurring species, reveal new ecological phenomena, and support management and conservation efforts.</p>

opencc-zeroJul 2024View details →
zenodo36/100

Fig. 1 in Ground beetles (Coleoptera: Carabidae) from the region of Cape Emine (central Bulgarian Black sea coast). Part II. Ecological parameters and community structure

Fig. 1. Dominance structure of the entire carabid complex (number of species).

opencc-by-4.0Feb 2015View details →
zenodo36/100

Fig. 5 in Protocol for collecting Mutillidae (Hymenoptera, Aculeata) in ecological studies: species-area effects on Mutillidae communities

Fig. 5. Direct ordering analysis of Mutillidae community in relation to the sample area gradient.

opencc-by-4.0Sep 2016View details →
zenodo36/100

Figure 1 in Species composition and ecological structure of ground beetle communities (Coleoptera, Carabidae) in reclaimed rock dumps in the south of Western Siberia

Figure 1. Location of the study site. Free map received on site http://www.maphill.com/

opencc-by-4.0Sep 2023View details →
dryad36/100

Airborne eDNA documents a diverse and ecologically complex tropical bat and other mammal community

<p><span>Environmental (e)DNA has rapidly become a powerful biomonitoring tool, particularly in aquatic ecosystems. This approach has not been as widely adopted in terrestrial communities where the methods of vertebrate eDNA collection have varied from the use of secondary collectors such as blood-feeding parasites and spider webs to washing surfaces of leaves and soil sampling. Recent studies have demonstrated the potential of direct collection of eDNA from air sampling, but none have tested how effective airborne eDNA sampling might be in a </span><span>biodiverse environment.</span> <span>We used three prototype samplers to actively sample a mixed neotropical bat community in a partially controlled environment. We assess whether airborne eDNA can accurately characterize a high-diversity community with skewed abundances and to determine if filter design impacts DNA collection and taxonomic recovery. Our study provides evidence for the accuracy of airborne eDNA as a detection tool and highlights its potential for monitoring high-density, diverse assemblages such as </span><span>bat roosts. </span><span>Analysis of air samples recovered &gt;91% of the species present and some limited relationship between species abundance and read count. Our data suggest this method can accurately depict a diverse mixed mammal community, particularly when the location is contained (e.g., a roost, den or burrow) but also highlights the potential for secondary transfer of eDNA material on clothing and equipment. Our results also demonstrate that simple, inexpensive, battery-operated homemade air samplers can collect an abundance of eDNA from the air, opening the opportunity for sampling in remote environments. </span></p>

opencc-zeroDec 2022View details →
dryad36/100

Data from: Initial ecological change in plant and arthropod community composition after wildfires in designated areas of upland peatland

<p>This dataset is published in conjunction with the publication of : Kelly, R., Montgomery, W. I., &amp; Reid, N. (2022) Initial ecological change in plant and arthropod community composition after wildfires in designated areas of upland peatland. <em>Ecology and Evolution, </em>and contains the environmental, botanical and entomological datasets underpinning the analysis contained there in. Additionally, it contains datasets on seedbanks and bird species which were collected as part of the Northern Ireland Environment Agency funded project 'Quantifying the impact of wildfires in the Northern Ireland' from 2012 to 2015 (see: <a href="https://www.daera-ni.gov.uk/publications/quantifying-impact-wildfires-northern-ireland-final-report-2016">https://www.daera-ni.gov.uk/publications/quantifying-impact-wildfires-northern-ireland-final-report-2016</a>)</p> <p>This data underpins the following publications which discuss the impacts of wildfires at these key upland sites in Northern Ireland: </p> <ul> <li>Kelly, R., Boston, E., Montgomery, W. I., &amp; Reid, N. (2016). The role of the seed bank in recovery of temperate heath and blanket bog following wildfires. Applied Vegetation Science, 19(4), 620-633.  <a href="https://doi.org/10.1111/avsc.12242">https://doi.org/10.1111/avsc.12242</a> </li> <li>Kelly, R., Montgomery, W. I., &amp; Reid, N. (2018). Differences in soil chemistry remain following wildfires on temperate heath and blanket bog sites of conservation concern. Geoderma, 315, 20-26. - <a href="https://doi.org/10.1016/j.geoderma.2017.11.016" rel="noreferrer noopener" title="Persistent link using digital object identifier">https://doi.org/10.1016/j.geoderma.2017.11.016</a> </li> <li>Reid, N., Kelly, R. &amp; Montgomery, W.I. (2022) Impact of wildfires on ecosystems and bird communities on designated areas of blanket bog and heath. Bird Study (In press)</li> <li>Kelly, R., Montgomery, W. I., &amp; Reid, N. (2022) Initial ecological change in plant and arthropod community composition after wildfires in designated areas of upland peatland. Ecology and Evolution. (In press)</li> </ul> <p>Data were collected and collated by Ruth Kelly (ruth.kelly@afbini.gov.uk/ruthkelly123@gmail.com) in collaboration with Dr. Neil Reid, Dr. Emma Boston, Prof. W.I. Montgomery (Queen's University Belfast) and Dr. Damian Mc Ferran (National Museums of Northern Ireland). We are also very grateful to Roy Anderson, Orla McLaughlin, Anna Hart, Rachel Hamill, Adam Mantell, Tony Smith, Joanne Denyer and Richard Weyl for their expertise and assistance in species identification, and to Gillian Riddell, Caroline Finlay, Florentine Spaans, Jeremy Adelard, Marion Chapalain, Alice McPherson, Claire McVeigh, Amber Woods and Rachel Hamill for assistance and expertise in the laboratory and field. </p>

opencc-zeroJan 2023View details →
dryad36/100

Ecological data from: Combining botanical collections and ecological data to better describe plant community diversity

Open the record for dataset details and reuse information.

publicDec 2020View details →
dryad36/100

Data from: Orchid mycorrhizal communities associated with Orchis italica are shaped by ecological factors and geographical gradients

Open the record for dataset details and reuse information.

publicNov 2024View details →
dryad36/100

Data from: Relatedness with plant species in native community influences ecological consequences of range expansions

Open the record for dataset details and reuse information.

publicDec 2017View details →
dryad36/100

Data from: Ecological resilience in a primate community affected by gold mining in Suriname

Open the record for dataset details and reuse information.

publicDec 2025View details →
dryad36/100

Determinism and stochasticity in the spatial-temporal continuum of ecological communities: the case of tropical mountains

Open the record for dataset details and reuse information.

publicJun 2022View details →
dryad36/100

Data from: Applying community ecological theory to maximize productivity of cultivated biocrusts

Open the record for dataset details and reuse information.

publicMay 2017View details →
dryad36/100

Data for: Social-ecological vulnerability of fishing communities to climate change: a U.S. West Coast case study

Open the record for dataset details and reuse information.

publicOct 2022View details →
dryad36/100

Data from: Bryophyte community composition and diversity are indicators of hydrochemical and ecological gradients in temperate kettle hole mires in Ohio, USA

Open the record for dataset details and reuse information.

publicDec 2023View details →

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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.

allen-brain-atlas
neuroscienceopenDocumentation, web resources, and API references are available online.
Last verified 2026-04-30Open record

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.

abode-home-cage
behavioral-neuroscienceopenThe DataShare record exposes download links for annotations, documentation, license text, and the zipped per-snippet data directory.
Last verified 2026-04-30Open record

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.

dandi-nwb
electrophysiologyopenPublished Dandiset metadata and archive endpoints are available through the production DANDI API.
Last verified 2026-04-30Open record

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.

ibl
behavioral-neuroscienceopenPublic sessions can be searched and loaded from the IBL public data server through ONE.
Last verified 2026-04-29Open record

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.

openneuro
neuroscienceopenPublished datasets are available on demand over the internet.
Last verified 2026-04-29Open record