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116 results for “climate risk”

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dryad32/100

“Natural” solutions could speed up climate change mitigation, with risks, compared to emissions reductions alone. Additional options are needed.

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publicMar 2020View details →
dryad32/100

Archive data for: Loss of predation risk from apex predators can exacerbate marine tropicalization caused by extreme climatic events

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publicDec 2020View details →
dryad32/100

Data from: On the use of climate covariates in aquatic species distribution models: are we at risk of throwing the baby out?

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publicMay 2017View details →
dryad32/100

Local extinction risk under climate change in a neotropical asymmetrically dispersed epiphyte

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publicJan 2020View details →
dryad32/100

Data from: Climate change increases predation risk for a keystone species of the boreal forest

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publicJun 2021View details →
dryad32/100

Data from: Fishing, fast growth, and climate variability increase the risk of collapse

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publicJul 2015View details →
dryad32/100

The nutritional condition of moose co-varies with climate, but not with density, predation risk, or diet composition

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publicAug 2022View details →
dryad32/100

Data from: Food supplementation and predation risk in harsh climate: interactive effects on abundance and body condition of tit species

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publicOct 2016View details →
dryad32/100

Desiccation amelioration and climate risk on rocky shores

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publicOct 2021View details →
dryad32/100

Rear-edge populations are important for understanding climate change risk and adaptation potential of threatened species

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publicJan 2021View details →
dryad28/100

Data from: Climate change-induced migration patterns and extinction risks of Theaceae species in China

Theaceae, an economically important angiosperm family, is widely distributed in tropical and subtropical forests in Asia. In China, Theaceae has particularly high abundances and endemism, comprising ~75% of the total genera and ~46% of the total species worldwide. Therefore, predicting the response of Theaceae species to climate change is vital. In this study, we collected distribution data for 200 wild Theaceae species in China, and predicted their distribution patterns under current and future climactic conditions by species distribution modeling (SDM). We revealed that Theaceae species richness is highest in southeastern China and on Hainan Island, reaching its highest value (137 species) in Fujian Province. According to the IUCN Red List criteria for assessing species threat levels under two dispersal assumptions (no dispersal and full dispersal), we evaluated the conservation status of all Theaceae species by calculating loss of suitable habitat under future climate scenarios. We predicted that nine additional species will become threatened due to climate change in the future; one species will be classified as critically endangered (CR), two as endangered (EN), and six as vulnerable (VU). Given their extinction risks associated with climate change, we recommended that these species be added to the Red List. Our investigation of migration patterns revealed regional differences in the number of emigrant, immigrant, and persistent species, indicating the need for targeted conservation strategies. Importantly, regions with high species turnover are located on the northern border of the entire Theaceae species distribution ranges owing to upwards migration; these regions are considered most sensitive to climate change and conservation planning should therefore be prioritized here. This study will contribute valuable information for reducing the negative impacts of climate change on Theaceae species, which will ultimately improve biodiversity conservation efficiency

opencc-zeroMar 2021View details →
dryad28/100

Hull fouling marine invasive species pose a very low, but plausible, risk of introduction to East Antarctica in climate change scenarios

<p><strong>Aims: </strong>To identify potential hull fouling marine invasive species that could survive in East Antarctica presently and in the future.</p> <p><strong>Location: </strong>Australia's Antarctic continental stations: Davis, Mawson and Casey, East Antarctica; and subantarctic islands: Macquarie Island and Heard and McDonald Islands.</p> <p><strong>Methods: </strong>Our study uses a novel machine-learning algorithm to predict which currently known hull fouling MIS could survive in shallow benthic ecosystems adjacent to Australian Antarctic research stations and subantarctic islands, where ship traffic is present. We used gradient boosted machine learning (XGBoost) with four important environmental variables (sea surface temperature, salinity, nitrate and pH) to develop models of suitable environments for each potentially invasive species. We then used these models to determine if any Australia's three Antarctic research stations and two subantarctic islands could be environmentally suitable for MIS now and under two future climate scenarios.</p> <p><strong>Results: </strong>Most of the species were predicted to be unable to survive at any locations between now and the end of the century, however, four species were identified as potential current threats, and five as threats under future climate change. <em>Asterias amurensis</em> was identified as a potential threat to all locations.</p> <p><strong>Main conclusions: </strong>This study suggests that the risk are very low, but plausible, that known hull fouling species could survive in the shallow benthic habitats near Australia's East Antarctica locations and suggest a precautionary approach is needed by way of surveillance and monitoring in this region, particularly if propagule pressure increases. Whilst some species could survive as adults in the region, their ability to reach these locations and undergo successful reproduction is considered unlikely based on current knowledge.</p>

opencc-zeroJan 2021View details →
zenodo28/100

Supplementary material 1 from: Piria M, Radočaj T, Vilizzi L, Britvec M (2022) Climate change may exacerbate the risk of invasiveness of non-native aquatic plants: the case of the Pannonian and Mediterranean regions of Croatia. In: Giannetto D, Piria M, Tarkan AS, Zięba G (Eds) Recent advancements in the risk screening of freshwater and terrestrial non-native species. NeoBiota 76: 25-52. https://doi.org/10.3897/neobiota.76.83320

Table S1

opencc-zeroOct 2022View details →
zenodo28/100

Supplementary material 2 from: Vilizzi L, Piria M, Pietraszewski D, Kopecký O, Špelić I, Radočaj T, Šprem N, Ta KAT, Tarkan AS, Weiperth A, Yoğurtçuoğlu B, Candan O, Herczeg G, Killi N, Lemić D, Szajbert B, Almeida D, Al-Wazzan Z, Atique U, Bakiu R, Chaichana R, Dashinov D, Ferincz Á, Flieller G, Gilles Jr AS, Goulletquer P, Interesova E, Iqbal S, Koyama A, Kristan P, Li S, Lukas J, Moghaddas SD, Monteiro JG, Mumladze L, Olsson KH, Paganelli D, Perdikaris C, Pickholtz R, Preda C, Ristovska M, Švolíková KS, Števove B, Uzunova E, Vardakas L, Verreycken H, Wei H, Zięba G (2022) Development and application of a multilingual electronic decision-support tool for risk screening non-native terrestrial animals under current and future climate conditions. In: Giannetto D, Piria M, Tarkan AS, Zięba G (Eds) Recent advancements in the risk screening of freshwater and terrestrial non-native species. NeoBiota 76: 211-236. https://doi.org/10.3897/neobiota.76.84268

Combined TAS-ISK report

opencc-zeroOct 2022View details →
zenodo28/100

Supplementary material 1 from: Vilizzi L, Piria M, Pietraszewski D, Kopecký O, Špelić I, Radočaj T, Šprem N, Ta KAT, Tarkan AS, Weiperth A, Yoğurtçuoğlu B, Candan O, Herczeg G, Killi N, Lemić D, Szajbert B, Almeida D, Al-Wazzan Z, Atique U, Bakiu R, Chaichana R, Dashinov D, Ferincz Á, Flieller G, Gilles Jr AS, Goulletquer P, Interesova E, Iqbal S, Koyama A, Kristan P, Li S, Lukas J, Moghaddas SD, Monteiro JG, Mumladze L, Olsson KH, Paganelli D, Perdikaris C, Pickholtz R, Preda C, Ristovska M, Švolíková KS, Števove B, Uzunova E, Vardakas L, Verreycken H, Wei H, Zięba G (2022) Development and application of a multilingual electronic decision-support tool for risk screening non-native terrestrial animals under current and future climate conditions. In: Giannetto D, Piria M, Tarkan AS, Zięba G (Eds) Recent advancements in the risk screening of freshwater and terrestrial non-native species. NeoBiota 76: 211-236. https://doi.org/10.3897/neobiota.76.84268

Table S1

opencc-zeroOct 2022View details →
dryad28/100

Projected climate change threatens significant range contraction of Cochemiea halei (Cactaceae), an island endemic, serpentine adapted plant species at risk of extinction

<p>Threats faced by narrowly distributed endemic plant species in the face of the Earth's sixth mass extinction and climate change exposure are especially severe for taxa on islands. We investigated the current and projected distribution and range changes of Cochemiea halei, an island endemic cactus. This taxon is of conservation concern, currently listed as vulnerable on the International Union for the Conservation of Nature Red List and as a species of special concern under Mexican federal law.</p> <p>The goals of this study are to 1). identify the correlations between climate variables and current suitable habitat for C. halei; 2). determine if the species is a serpentine endemic or has a facultative relationship with ultramafic soils; 3). predict range changes of the species based on climate change scenarios.</p> <p>Location: The island archipelago in Bahía Magdalena on the Pacific coast, Baja California Sur, Mexico.</p> <p>Main conclusions: The occurrence of the species is found to be strongly correlated with ultramafic soils. The most important climate predictor for habitat suitability is annual temperature range. The species is predicted to undergo range contractions from 21% to 53%, depending on the severity and duration of exposure to climate change. The broader implications for a wide range of narrowly adapted, threatened and endemic plant species indicate an urgent need for threat assessment based on habitat suitability and climate change modeling.</p>

opencc-zeroAug 2021View details →
dryad28/100

Dataset: Drivers of local extinction risk in alpine plants under warming climate

<p><span>The scarcity of local plant extinctions following recent climate change has been explained by demographic inertia and lags in the displacement of resident species by novel species, generating an "extinction debt". We established a transplant experiment to disentangle the contribution of these processes to local extinction risk of four alpine plants in the Swiss Alps. Projected population growth (λ) derived from integral projection models was reduced by 0.07/°C of warming on average, while novel species additionally decreased λ by 0.15 across warming levels. Effects of novel species on predicted extinction time were greatest at warming &lt;2°C for two species. Projected population declines under both warming and with novel species were primarily driven by increased mortality. Our results suggest that extinction debt can be explained by a combination of demographic inertia and lags in novel species establishment, with the latter being particularly important for some species under low levels of warming.</span></p>

opencc-zeroFeb 2022View details →
dryad28/100

Hull fouling marine invasive species pose a very low, but plausible, risk of introduction to East Antarctica in climate change scenarios

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publicJan 2021View details →
dryad28/100

Data from: Accelerating extinction risk from climate change

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publicApr 2016View details →
dryad28/100

National survey-based investigation of climate risk perceptions and adaptation readiness in Greece

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publicOct 2025View 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