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2,260 results for “Climatic change”
FIGURE 2 in Additions to the aphid fauna of Wrangel Island due to climate change with redescription of the oviparous female of Pterocomma groenlandicum Hille Ris Lambers, 1952 (Hemiptera, Aphidoidea)
FIGURE 2. Map of Wrangel Island with geographic points of aphid sampling in 2014–2015.
Figure 2. The effective population size through recent time for 3 in Comparative analyses of past population dynamics between two subterranean zokor species and the response to climate changes
Figure 2. The effective population size through recent time for 3 clades of plateau zokor (Eospalax baileyi).
Figures 1–7 in Potential distribution of the guava psyllid Triozoida limbata (Hemiptera, Psylloidea), today and in global climate change scenarios
Figures 1–7. Triozoida limbata: 1- Habitus of adult; 2- head; 3- male terminalia, in profile; 4- female terminalia, in profile; 5- habitus of immature; 6- open leaf roll gall on guava with immature specimens; 7- leaf roll galls on guava.
Figure 2 in Environmental niche modelling of the Chinese pond mussel invasion in Europe under climate change scenarios
Figure 2. Response curves of the environmental variables selected for prediction of S. woodiana distribution under the recent climate scenario. Each curve (green line) shows how the logistic prediction changes as each environmental variable is varied. The orange dashed line crosses the maximum value of the variable.
Fig. 2. Plots A-B in Adaptations, life-history traits and ecological mechanisms of parasites to survive extremes and environmental unpredictability in the face of climate change
Fig. 2. Plots A-B. Hypothetical thermal curves of the free-living stages of two parasite populations with different thermal adaptation histories and similar thermal optimum (highest point in the curve). The blue curve represents a population adapted to a highly variable environment and the orange curve a population adapted to a less variable environment. The dashed black line is a hypothetical current mean temperature in the environment and the dashed grey line represents an increased mean temperature as a consequence of climate change. In plot A, the historical temperature sits close to the thermal optimum in both populations, and an increase in temperature results in a decrease in parasite performance, which is greater for the parasite adapted to the less variable environment. In plot B, the historical temperature is well below the thermal optimum of both parasites, and an increase in temperature results in improved performance for both parasites. In both scenarios, an increase in mean temperature causes a much higher relative change in performance in the population from the less variable environment as indicated in the difference in size among the shade areas. Plot C shows the hypothetical temperature and thermal development ranges for the free-living stages of parasites inhabiting three different latitudes. The temperature range increases with latitude but the development range of parasites does not because, although the thermal range in high latitudes is wider, a large portion of this range occurs <0 ◦C. While parasites from high latitudes might be highly resistant to freezing temperatures, they are also more vulnerable to high temperatures. (For interpretation of the references to colour in this figure legend, the reader is referred to the Web version of this article.)
Fig. 1 in Adaptations, life-history traits and ecological mechanisms of parasites to survive extremes and environmental unpredictability in the face of climate change
Fig. 1. Schematic of two types of life cycles of parasitic nematodes highlighting stage-specific interactions with the environment and hosts, and adaptations to cope with extreme environmental conditions: A) direct life cycle and B) specific indirect life cycle of protostrongylid parasites. In red are indicated the developmental stages of the parasite. The performance (e.g., survival rate, development rate) of developmental stages in the orange area is directly influenced by changes in environmental conditions. Developmental stages in light blue area are indirectly influenced by environmental conditions experienced by the definitive or intermediate hosts. The effect of the environment on the L3 of protostrongylids can be direct or indirect depending if the L3 migrates out of the intermediate host (direct) or if the L3 remains in the intermediate host (indirect). In the inner triangles, examples of stage-specific adaptations to cope with extremes are indicated. (For interpretation of the references to colour in this figure legend, the reader is referred to the Web version of this article.)
Dataset for Unlocking the Mitigation Potential of Landfills as A Cost-Effective Solution for Climate Change
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Dhoroni: A Multi-Perspective Bengali Climate Change and Environmental News Dataset
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Dataset article "Ecological status and type of alteration determine the C-balance and climate change mitigation capacity of Mediterranean inland brackish and saline shallow lakes"
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Climate Change and Myanmar's Future
<p>During the Sabai Webinar Series 17, hosted by the Shwetaungthagathu Reform Initiative Centre (SRIc), Burmese Experts, including Dr Aung Tun Oo, a Postdoctoral Researcher from the University of Urbino and Tin Shine Aung, Director of SRIc and PhD Candidate in Sustainability Science engaged in a discussion to explore the impact of climate change on Myanmar’s agriculture, vulnerable communities, and the need for proactive planning. </p> <p>Given Myanmar’s increasing vulnerability to climate change, this webinar offers crucial insights and practical advice for addressing the challenges ahead. </p>
Cross-stressor resilience of soil microbial growth and carbon metabolism under climate change
<p>This dataset accompanies the study:</p> <blockquote> <p>Jin-Tao Lí, Lettice C. Hicks, Albert C. Brangarí, Johannes Rousk. (2025). Cross-stressor resilience of soil microbial growth and carbon metabolism under climate change.<em> </em><em><code>[Under Review]</code></em></p> </blockquote> <p>The dataset contains the following files:</p> <ul> <li><code>1.plfa_data.xlsx</code>: Data on phospholipid fatty acids (PLFA).</li> <li><code>2.perturbation_response.xlsx</code>: Data on microbial perturbation responses.</li> <li><code>3.stats_code.R</code>: R script used for statistical analyses in the study.</li> <li><code>4.origin_fitfunc.zip</code>: A compressed file containing user-defined fitting functions for the Origin software (OriginLab, USA). It includes three “.FDF” files for non-linear models: the modified Gompertz, Baranyi, and Lag-exponential models, which are applied to fit microbial growth and CUE kinetics over time.</li> <li><code>5.figs_source_data.zip</code>: Source data used for figure generation, excluding Fig. 1, which is an experimental design illustration.</li> <li><code>6.plots_code.R</code>: R script attempting to reproduce the figures originally generated in Excel.</li> <li><code>README.docx</code>: Detailed documentation on dataset contents, structure and column variables.</li> </ul> <p>This dataset supports research into soil microbial resilience in response to perturbation events associated with climate trends and extremes.</p>
Data from: Is there a temperate bias in our understanding of how climate change will alter plant-herbivore interactions? A meta-analysis of experimental studies
Climate change can drive major shifts in community composition and interactions between resident species. However, the magnitude of these changes depends on the type of interactions and the biome in which they take place. We review the existing conceptual framework for how climate change will influence tropical plant-herbivore interactions and formalize a similar framework for the temperate zone. We then conduct the first biome-specific tests of how plant-herbivore interactions change in response to climate-driven changes in temperature, precipitation, ambient CO2, and ozone. We used quantitative meta-analysis to compare predicted and observed changes in experimental studies. Empirical studies were heavily biased toward temperate systems, so testing predicted changes in tropical plant-herbivore interactions was virtually impossible. Furthermore, most studies investigated the effects of CO2 with limited plant and herbivore species. Irrespective of location, most studies manipulated only one climate change factor despite the fact that different factors can act in synergy to alter responses of plants and herbivores. Finally, studies of belowground plant-herbivore interactions were also rare; those conducted suggest that climate change could have major effects on belowground subsystems. Our results suggest that there is a disconnection between the growing literature proposing how climate change will influence plant-herbivore interactions and the studies testing these predictions. General conclusions will also be hampered without better integration of above- and belowground systems, assessing the effects of multiple climate change factors simultaneously, and using greater diversity of species in experiments.
Data from: Spatial heterogeneity of tree diversity changes in montane forests under climate warming
<p>Many studies reported biotic change along a continental warming gradient. The temporal and spatial change of tree diversity and their sensitivity to climate warming might differ from region to region. however, understanding of the variation among studies with regard to the magnitude of such biotic changes is minimal, especially for montane ecosystems. To better understand spatial heterogeneity and temporal dynamics of mountain trees community change under climate warming over the past four decades. We re-surveyed and recorded all tree species from 107 long-term monitoring plots since 1974 in 2017 to study the changes of tree community composition of montane forests in the Giant Panda National Park. Our results showed that spatial differences were found in tree species diversity changes in response to climate warming over the past four decades. Tree species richness and abundance of montane forests increased over time in all our study area, except Liangshan (LS), especially in XiaoXiangLing with the highest warming rate. However, beta diversity underwent a significantly higher change rate at LS than in other mountains which indicated that plant species that do not belong to these four mountains entered LS in those year. Moreover, the beta diversities of tree between sample plots in the LS regions were homogenized. So, LS may become risk regions under continuing climatic warming, and should thus receive priority protection in the next conservation plan of the Giant Panda National Park (GPNP). We provide a explanation for the large variation among studies in warming-related biotic changes and recommend that the GPNP should implement a regional-specific conservation policy to strengthen conservation in at-risk regions (i.e., LS) under climate warming.</p>
Data from: Global change on the Roof of the World: vulnerability of Himalayan otter species to land-use and climate alterations
<p>Climate Change Vulnerability Assessment (CCVA) prescribes the quantification of species vulnerability based on three components: sensitivity, adaptive capacity and exposure. Such assessments should be performed through combined approaches that integrate trait-based elements (e.g., measures of species sensitivity such as niche width) with correlative tools quantifying exposure (magnitude of changes in climate within species habitat). Furthermore, as land-use alterations may increase climate impacts on biodiversity, CCVAs should focus on both climate and land-use change effects. Unfortunately, most of such assessments have so far focused exclusively on exposure to climate change. </p> <p>We evaluated the vulnerability of three otter species occurring in the Himalayan region, i.e. <i>Aonyx cinereus, Lutra lutra </i>and<i> Lutrogale perspicillata</i>, to 2050 climate and land-use through the recently-proposed Climate Niche Factor Analysis (CNFA) framework combined with Species Distribution Models.</p> <p>Future climate and land-use change will reduce (6 – 15%) and shift (10 – 18%) the geographic range of the three species in the Himalaya, with land-use alterations exerting far more severe effects than climate change. Among vulnerability components, sensitivity played a greater role than exposure in determining the vulnerability of the otters. Specifically, the most specialist species, <i>L. perspicillata</i> showed the highest vulnerability in comparison with the most generalist, <i>L. lutra</i>.</p> <p>Our results underline how coupling climate and land-use change components in CCVAs can generate diverging predictions of species vulnerability compared to approaches relying on climate change only. Moreover, intrinsic components, such as species sensitivity, proved significantly more important in determining vulnerability than extrinsic metrics such as habitat exposure.</p> <p>The dataset contains XY coordinates of Himalayan otter species used in the study. Since Himalayan otters are listed as threatened or vulnerable in several of the regions covered by the study, original coordinates were rounded to 1 degree. Specific data sources are provided in the coupled table.</p>
Environmental data from: Potential distributions of invasive vertebrates in the Iberian Peninsula under projected changes in climate extreme events
<p>This dataset includes climatic variables representing extreme events indices defined by the World Meteorological Organization (<a href="https://public.wmo.int/en">https://public.wmo.int/en</a>). The variables were calculated based on five Regional Climate Models or RCMs (UAHE-REM, UCAN-WRA, UCAN-WRB, UCLM-PRO and UMUR-MM5) for the periods 1971-2000 ('current climate') and 2021-2050 ('future climate') under the SRES A1B Emissions Scenario. We used RCMs instead of global climate models (GCMs) because the latter have an overly coarse resolution compared to the spatial resolution of our species distribution data. Since RCMs downscale climate fields from GCMs, they provide information at fine (meso or micro) scales that are more accurate for studies of regional phenomena and for application to climate impact assessments. Climatic variables were calculated in collaboration with the Numerical Modelling Group for the Environment and Climate (MOMAC, <a href="https://www.uclm.es/grupos/momac">https://www.uclm.es/grupos/momac</a>) of the University of Castilla-La Mancha (UCLM).</p>
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>
Data from: Heritable variation and lack of tradeoffs suggest adaptive capacity in Acropora cervicornis despite negative synergism under climate change scenarios
<p>Knowledge of multi-stressor interactions and the potential for trade-offs among tolerance traits is essential for developing intervention strategies for the conservation and restoration of reef ecosystems in a changing climate. Thermal extremes and acidification are two major co-occurring stresses predicted to limit the recovery of vital Caribbean reef-building corals. Here we conducted an aquaria-based experiment to quantify the effects of increased water temperatures and pCO2 individually and in concert on 12 genotypes of the endangered branching coral, Acropora cervicornis, currently being reared and outplanted for large-scale coral restoration. Quantification of 11 host, symbiont, and holobiont traits throughout the 2-month long experiment showed several synergistic negative effects, where the combined stress treatment often caused greater reduction in physiological function than the individual stressors alone. However, we found significant genetic variation for most traits and positive trait correlations among treatments indicating an apparent lack of tradeoffs, suggesting that adaptive evolution will not be constrained. Our results suggest that it may be possible to incorporate climate-resistant coral genotypes into restoration and selective breeding programs, potentially accelerating adaptation. </p>
Agricultural adaptation to reconcile food security and water sustainability under climate change: the case of cereals in Iran
<p>In this study, we simulate the crop yield and water footprint (WF) of major food crops of Iran on irrigated and rainfed croplands for the historical and the future climate. We assesse the effects of three agricultural adaptation strategies to climate change in terms of potential blue water savings. We then evaluate to what extent these savings can reduce unsustainable blue WF. We find that cereal production increases under climate change in both irrigated and rainfed croplands (by 2.6-3.1 and 1.4-2.3 million t y<sup>-1</sup>, respectively) due to increased yields (6.6%-78.7%). Simultaneously, the unit WF (m<sup>3</sup> t<sup>-1</sup>) tends to decrease in most scenarios. However, the annual consumptive water use increases in both irrigated and rainfed croplands (by 0.3-1.8 and 0.5-1.7 billion m<sup>3</sup> y<sup>-1</sup>, respectively). This is most noticeable in the arid regions, where consumptive water use increases by roughly 70% under climate change. Off-season cultivation is the most effective adaptation strategy to alleviate additional pressure on blue water resources, with blue water savings of 14-15 billion m<sup>3</sup> y<sup>-1</sup>. The second most effective is WF benchmarking, which results in blue water savings of 1.1-3.5 billion m<sup>3</sup> y<sup>-1</sup>. The early planting strategy is less effective, but still leads to blue water savings of 1.7-1.9 billion m<sup>3</sup> y<sup>-1</sup>. In the same order of effectiveness, these three strategies can reduce blue water scarcity and unsustainable blue water use in Iran under current conditions. However, we find that these strategies do not mitigate water scarcity in all provinces per se, nor all months of the year.</p>
Breeding and feeding habitat selection by an island endemic bird may increase its vulnerability to climate change
<p>Characterising patterns of habitat use is an important first step for effective conservation planning. Species restricted to low-lying islands are at greatest risk from climate change-related sea level rise, and requirements for breeding and foraging habitat may determine their risk from tidal inundation. The endangered Micronesian Scrubfowl (<i>Megapodius laperouse senex</i>) is a model species for understanding these impacts. This species faces the cumulative challenges of tourist visitation, invasive species, and rising sea levels, yet little is understood about its habitat use in the Rock Islands Southern Lagoon Conservation Area (RISL) of Palau. We studied the habitat requirements of this mound-nesting scrubfowl as a representative of a group of birds considered highly vulnerable to climate change. Analysis of 15 habitat variables at 24 incubation mounds and 26 randomly chosen sites indicated that scrubfowl selected incubation sites that were close to shore, contained large trees, and exhibited greater canopy heights than the surrounding forest. Birds preferentially built mounds at the base of large ironwood trees (<i>Casuarina</i> <i>equisetifolia</i>) but selected sites with significantly more breadfruit trees (<i>Artocarpus mariannensis</i>) than random. Scrubfowl foraged in a non-preferential manner, making use of all littoral strand forest habitat. Direct anthropogenic habitat loss is not a major threat to scrubfowl in the RISL but their breeding habitat is highly vulnerable to climate change-driven sea level rise.</p>
Figure 2 from: Dixie B, White H, Hassall M (2015) Effects of microclimate on behavioural and life history traits of terrestrial isopods: implications for responses to climate change. In: Taiti S, Hornung E, Štrus J, Bouchon D (Eds) Trends in Terrestrial Isopod Biology. ZooKeys 515: 145–157. https://doi.org/10.3897/zookeys.515.9399
Figure 2 - Responses of relative growth rates to temperature and relative humidity. Responses to differences in temperature by a) Oniscus asellus, (F1, 36 = 0.905, P = 0.348) and. b) by Porcellio dilatatus, (F1, 36 = 5.112, P = 0.030); to differences in relative humidity of c) Oniscus asellus, (F1, 36 = 17.125, P < 0.001) and d) Porcellio dilatatus, (F1, 36 = 84.326, P < 0.001). Asterisks denote differences signficance at P < 0.05.
ScienceDex guides
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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.