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.
379
datasets available to search
ShareScore release 0.7.1
Dataset results
379 results for “environmental change”
Figure 6 in Effect of environmental change after the 2011 tsunami on the population dynamics of Japanese tubesnout Aulichthys japonicus (Gasterosteiformes)
Figure 6. – Changes in the surface of the seagrass bed area (m2) since before Tsunami (according to Yamaki, 2009) to 2014.
Figure 5 in Effect of environmental change after the 2011 tsunami on the population dynamics of Japanese tubesnout Aulichthys japonicus (Gasterosteiformes)
Figure 5. – Changes of number of Japanese tubesnouts Aulichthys japonicus and ascidians Halocynthia roretzi from 2007 to 2008 and from 2012 to 2016.
Figure 1 in Effect of environmental change after the 2011 tsunami on the population dynamics of Japanese tubesnout Aulichthys japonicus (Gasterosteiformes)
Figure 1. – Location of study area in Okirai Bay and position of the sampling site in Namiita Beach. The white dotted area shows the seagrass bed's area (m2) in August 2014.
Modelling environmental suitability of sorghum, wheat and maize in Europe under climate change (Code & data)
<p><span>Wheat and maize play an important role as crops for human consumption and animal feed in Europe. To guarantee food security and the stability of the agricultural sector in Europe, it is crucial to determine how climate change will impact the environmental suitability and thus the potential geographic distribution of these crops. Sorghum, a crop that originates in Africa, has seen a recent increase in cultivation in Europe. Due to its tolerance to more extreme climate conditions and its versatility of use, it might inherit a high potential as an alternative crop. </span></p> <p><span>Occurrence data of sorghum, wheat and maize as well as several environmental variables were used as input data for an ensemble modelling approach that averages machine learning models for species distribution modelling (SDM). CHELSA served as a source for present bioclimatic conditions and future climate scenarios, namely SSP126 and SSP370 for the period 2041-2070, and HSWD supplied soil variables, since both climate and soil influence crop development. A set of models was evaluated to select the best performing models for the ensemble modelling. The ensemble models were extrapolated to the future scenarios to predict geographic shifts of suitable cultivation areas due to climate change and analyze sorghum’s potential as an alternative crop. </span></p> <p><span>Under the climate scenarios, the three crops saw a shift of suitability in Europe with losses in Southern Europe and expansions of suitable environmental conditions in the northeast of Europe. Sorghum was the crop with the highest potential to replace maize and wheat in Southern Europe in areas where they lose suitability under climate change. Therefore, sorghum confirmed its function as an alternative crop. It also was the crop that benefits consistently from climate change, growing its total suitable area in Europe under both climate scenarios. Maize loses total suitable area in Europe in both climate scenarios but kept the highest amount of total suitable area in Europe in all projected time periods. </span></p> <p><span>The outcome of this study is of high importance for European farmers and policy makers as it enables them to apply effective adaptation and mitigation strategies that will support crop production under future climate conditions. <br></span></p>
F I G U R E 1 A in Linking plant functional traits to biodiversity under environmental change
F I G U R E 1 A diagram of the linkage between functional traits and biodiversity at multiple ecological scales. Across different scales, the diagram includes the response of functional traits to different environmental conditions, interactions under shifts in community structure and ecosystem functioning, which affect species' survival or extinction, and thus biodiversity. The diagram is constructed following a bottom‐up logic based on individual traits and aims to facilitate future trait‐diversity models to predict biodiversity responses under environmental change.
Understanding behavioural responses to human-induced rapid environmental change: A meta-analysis
<p>Behavioural responses are often the first reaction of an organism to human induced rapid environmental change (HIREC), yet current empirical evidence provides no consensus about the main environmental features that animals respond to behaviourally or which behaviours are responsive to HIREC. To understand how changes in behaviour can be predicted by different forms of HIREC, we conducted a meta-analysis of the existing empirical literature focusing on behavioural responses to five axes of environmental change (climate change, changes in CO<sub>2</sub>, direct human impact, changes in nutrients and biotic exchanges) in five behavioural domains (aggression, exploration, activity, boldness and sociability) across a range of taxa but with a focus on fish and bird species. Our meta-analysis revealed a general absence of directional behavioural responses to HIREC. However, the absolute magnitude of the effect sizes was large. This means that animals have strong behavioural responses to HIREC, but the responses are not clearly in any particular direction. Moreover, absolute magnitude of the effect sizes differed between different behaviours and different forms of HIREC: Exploration responded more strongly than activity, and climate change induced the strongest behavioural responses. Model heterogeneities identified that effect sizes varied primarily because of study design, and the specific sample of individuals used in a study; phylogeny also explains significant variation in our bird model. Based on these results, we make four recommendations to further our understanding: 1) a more balanced representation of laboratory and field studies, 2) consideration of context dependency, 3) standardisation of the methods and definitions used to quantify and study behaviours, and 4) consideration of the role for individual differences in behaviour.</p>
Mutualistic coevolution and community diversity favor persistence in metacommunities under environmental changes
<p>Linking local to regional ecological and evolutionary processes is key to understand the response of Earth's biodiversity to environmental changes. Here we integrate evolution and mutualistic coevolution in a model of metacommunity dynamics to understand how coevolution can shape species distribution and persistence in landscapes varying in space and time. Using simulations, we show that coevolution and species richness can synergistically shape distribution patterns by increasing colonization and reducing extinction of populations in metacommunities. Although conflicting selective pressures emerging from mutualisms may increase mismatches with the local environment and the rate of local extinctions, coevolution increases trait matching among mutualists at the landscape scale, counteracting local maladaptation and favoring colonization and range expansions. Our results show that by facilitating colonization, coevolution can also buffer the effects of environmental changes, preventing species extinctions and the collapse of metacommunities. Our findings reveal the mechanisms whereby coevolution can favor persistence under environmental changes and highlight that these positive effects are greater in more diverse systems that retain landscape connectivity.</p>
Fig.1 in Distribution Of Ixodes Ricinus (Arachnida, Ixodidae) In Ukraine In The Context Of Tick Hazard, And Factors Favoring Its Persistence In Conditions Of Fast-Going Environmental Change
Fig.1. The hiatus in the range that has been noted on the territory of Ukraine: 1 — European area of distribution; 2 — Crimean area of distribution; 3 — Caucasian-Western Asian area of distribution; 4 — zone of disjunction (after fig. 1 Akimov & Nebogatkin, 1996 with changes).
Fig. 2 in Distribution Of Ixodes Ricinus (Arachnida, Ixodidae) In Ukraine In The Context Of Tick Hazard, And Factors Favoring Its Persistence In Conditions Of Fast-Going Environmental Change
Fig. 2. Distribution of I. ricinus on the territory of Ukraine, from the point of view of tick-borne danger.
Shifting environmental predictors of phenotypes under climate change: A case study of growth in high latitude seabirds
<p>Climate change is altering species' traits across the globe. To predict future trait changes and understand the consequences of those changes, we need to know the environmental drivers of phenotypic change. In the present study, we use multi-decadal long datasets to determine periods of within-year environmental variation that predict growth of three seabird species. We evaluate whether these periods changed over time and use them to predict future growth under climate change. We find that predictions of trait change could be improved by considering that 1) the timing of environmental factors used to predict traits (predictive-environmental features) can change over time, and 2) the type of predictive-environmental features can change over time. We find evidence of changes in the timing of environmental predictors in all populations studied and evidence for a change in the type of predictor in the studied Arctic murre population. Environmental models of growth predict that warming conditions will decrease growth rates and bird body sizes in two species (black-legged kittiwakem <em>Rissa</em> <em>tridactyla</em>, and glaucous-winged gullm <em>Larus</em> <em>glaucescens</em>), but not the third (thick-billed murrem <em>Uria</em> <em>lomvia</em>). Consequently, climate change is likely to decrease fledging rates in the gulls and kittiwakes. Further, we find that ice-cover historically predicted murre chick growth well, but no longer does – instead air temperature is now a better predictor of murre growth. Our study highlights a need to investigate whether environmental determinants of trait variation commonly shift in a changing climate and whether such changes have implications for adaptation to novel environments.</p>
Data and code for paper "Freihardt (2024): Perceptions of environmental changes among a climate-vulnerable population from Bangladesh. Climatic Change. DOI 10.1007/s10584-024-03678-6"
<p>This dataset contains the temperature, precipitation, erosion, and perception data, as well as the analysis code in R necessary to replicate the results of the paper:</p> <p>Freihardt, J. (2024): Perceptions of environmental changes among a climate-vulnerable population from Bangladesh. Climatic Change, 177, 25. DOI: 10.1007/s10584-024-03678-6.</p>
Climate change shrinks environmental suitability for a viviparous Neotropical skink
<p>Anthropogenic global warming and deforestation are significant drivers of the global biodiversity crisis. Ectothermic and viviparous animals are especially vulnerable since high environmental temperatures can impair embryonic development, but we lack knowledge about these effects upon Neotropical organisms. Here, we estimate how much of the current area with suitable habitats overlaps with protected areas and model the combined effects of climate change and deforestation on the geographic distribution of the viviparous Neotropical lizard <em>Notomabuya frenata</em> (Scincidae). This species ranges in Brazil, Argentina, Paraguay, and Bolivia. We use environmental and physiological variables (locomotor performance and hours of activity) to predict suitable present and future areas, considering different scenarios of greenhouse gas emissions and deforestation. The most critical predictors of habitat suitability were isothermality (i.e., the ratio between mean diurnal temperature range and annual temperature range), precipitation during winter, and hours of activity under lower thermal extremes. Still, our models predict a contraction of suitable habitats in all future scenarios and the displacement of these areas towards eastern South America. In addition, protected areas are not enough to ensure suitable habitats for this species. Our findings highlight the vulnerability of tropical and viviparous ectotherms and suggest that even widely distributed species, such as <em>N. frenata</em>, may have their conservation compromised shortly due to the low representativeness of their suitable habitats in protected areas combined with the synergistic effects of climate change and deforestation. We stress the need for decision‐makers to consider the impact of range shifts in creating protected areas and managing endangered species.</p>
Figure 4 in Characterizing Environmental Change and Species' Histories from Stratified Faunal Records in Southeastern Australia: A Regional Review and a Case Study for the Early to Middle Holocene
Figure 4. Selected species representations at WJ99. Species are sorted by those that show decline into the Holocene (blue), those whose values generally do not show particular decline or increase during the Holocene Climatic Optimum (gold), and those whose numbers appear to be affected—decline or increase—during the Holocene Climatic Optimum (red). Grey shading indicates approximate timing of peak Holocene Climatic Optimum conditions.
Figure 1 in Characterizing Environmental Change and Species' Histories from Stratified Faunal Records in Southeastern Australia: A Regional Review and a Case Study for the Early to Middle Holocene
Figure 1. Map of SE Australian Alps and region, indicating locations of sites with faunal material mentioned in text.
Figure 3 in Characterizing Environmental Change and Species' Histories from Stratified Faunal Records in Southeastern Australia: A Regional Review and a Case Study for the Early to Middle Holocene
Figure 3. Summary of known environmental shifts during the early to middle Holocene from SE Australia, chronologically related to notable temporal changes within (and environmental inferences from) the faunal composition of WJ99. * Approximate calibrated date ranges inferred from original uncalibrated dates.
Figure 2 in Characterizing Environmental Change and Species' Histories from Stratified Faunal Records in Southeastern Australia: A Regional Review and a Case Study for the Early to Middle Holocene
Figure 2. Representative (east and south) sections of WJ99 Square 10B, showing locations of AMS radio-
Mean species responses predict effects of environmental change on coexistence
<p>Environmental change research is plagued by the curse of dimensionality: the number of communities at risk and the number of environmental drivers are both large. This raises the pressing question if a general understanding of ecological effects is achievable. These data show that this is indeed possible. It contains code that calculates the feasibility domain size (a proxy for coexistence) for bi- and tritrophic communities challenged by environmental change. Some of this code simply returns the output of a closed-form expressions (i.e. simple equations), while some rely on simulations that require specific packages.</p> <p>The data also contain presence/absence data of macroinvertebrate taxa and water chemistry variables measured across sites (that are either severely or weakly modified by human activity, quantified via land use) at US streams. With these data, we were able to test if sites that share the same community have similar water chemistry, in other words: how tightly is a community linked to a certain water chemistry? This analysis demonstrates how to apply our theory to the analysis of field data, and lends support to effects of land use change on coexistence in natural invertebrate communities.</p>
Mean species responses predict effects of environmental change on coexistence
Open the record for dataset details and reuse information.
Climate change shrinks environmental suitability for a viviparous Neotropical skink
Open the record for dataset details and reuse information.
The importance of peripheral populations in the face of novel environmental change
Open the record for dataset details and reuse information.
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.