Find research datasets worth reusing

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"

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: 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.

Climate-associated change in the abundance of Shrimp in Puget Sound, USA

This is the clean and raw data files needed to replicate the analysis for our paper. The data contains Pacific Decadal Oscillation and El Nino/La Nina data, as well as data from a long running trawl survey in central Puget Sound, Washington, USA. The trawl data contains counts of invertebrate species from the trawls, as well as metadata about the trawls and the conditions during trawling. The trawl is conducted yearly by the School of Aquatic and Fishery Sciences, University of Washington.

opencc-zeroFeb 2023View details →

Climate change shrinks environmental suitability for a viviparous Neotropical skink

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 Notomabuya frenata (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 N. frenata, 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.

Data repository - The role of peatland degradation, protection and restoration for climate change mitigation in the SSP scenarios

This datasets provides regional and spatial-explicit gridded data for the analysis presented in the manuscrip "The role of peatland degradation, protection and restoration for climate change mitigation in the SSP scenarios" under review in "Environmental Research: Climate" with reference "ERCL-100126"

Figure 7.2 of IPCC-IPBES report - The effects of actions to mitigate climate changes on action to mitigate biodiversity and of actions to mitigate biodiversity loss on actions to mitigate climate change

Here are the underlying data and codes for Figure 7.2 of the IPCC-IPBES report (https://doi.org/10.5281/zenodo.4659158)   We decide to represent only the recognized links (positive and negative) in Figure 7.2. The table1 file represents these relationships. If you decide to represent the non-recognized interactions (gray), you should use the table2 file and re-divide it in the code. The code produces the Sankey diagram, which was used to produce Figure 7.2. The order of the nodes was organized manually to represent better the Chapter 7 discussion. After that, you can export the figure and work in an external program. The final figure was produced using PowerPoint and with labels and icons inserted manually.

opencc-by-4.0Dec 2022View details →

Social survey on climate change perception in tropical areas.

Results of the survey conducted among farmers in the Upper Huallaga Valley regarding their perception of climate change.

Potential aboveground biomass increase in Brazilian Atlantic Forest fragments with climate change

This file collection contains the estimated spatial distribution of the above-ground biomass density (AGB) by the end of the 21st century across the Brazilian Atlantic Forest domain and the respective uncertanty. To develop the models, we used the maximum entropy method with projected climate data to 2100, based on the Intergovernmental Panel on Climate Change (IPCC) Representative Concentration Pathway (RCP) 4.5 from the fifth Assessment Report (AR5). The dataset is composed of four files in GeoTIFF format: calibrated-AGB-distribution.tif: raster file representing the present spatial distribution of the above-ground biomass density in the Atlantic Forest from the calibrated model. Unit: Mg/ha  estimated-uncertanty-for-calibrated-agb-distribution.tif: raster file representing the estimated spatial uncertanty distribution of the calibrated above-ground biomass density. Unit: percentage. projected-AGB-distribution-under-rcp45.tif: raster file representing the projected spatial distribution of the above-ground biomass density in the Atlantic Forest by the end of 2100 under RCP 4.5 scenario. Unit: Mg/ha  estimated-uncertanty-for-projected-agb-distribution.tif: raster file representing the estimated spatial uncertanty distribution of the projected above-ground biomass density. Unit: percentage. Spatial resolution: 0.0083 degree (ca. 1 km) Coordinate reference system: Geographic Coordinate System - Datum WGS84

opencc-by-4.0Mar 2023View details →

The cost of movement: assessing energy expenditure in a long-distant ectothermic migrant under climate change

Functions to simulate monarch migration under set weather conditions. Data for repsirometry measurements and weather stations are also included in ZIP folders. Functions include working example of movement based on literature values for thresholds. Functions can be modified for other species as needed. Weather station data were collected from NOAA LCD stations. Alternative data sources include Wunderground Personal Weather Station datasets. However, Wunderground requires an API to access their data unless you have a PWS in their system. Connecting a PWS to wunderground provides you an API key for accessing data.

opencc-by-4.0Apr 2023View details →

Climate change prediction

Surface temperature data from various cities across the world from 1900-2127. The original data is from 1900-2013, and 2014-2127 are predictions based on a random forest model. orig+pred.zip: Contains all the predictions and orignal data in form of a huge csv file. orig+pred-split.zip: Contains the same information as above file, but split into multiple csv files for each year. This will help in easy loading on various visualization softwares.

opencc-zeroApr 2023View details →

Data for: Predicting berry plant habitat under climate change in Bristol Bay, AK

Aim: Climate change is altering suitable habitat distributions of many species in high latitudes. Fleshy fruit-producing plants (hereafter "berry plants"), important in arctic food webs and as subsistence resources for human communities, may be impacted, but their response to a warming and increasingly variable climate at a landscape scale has not yet been examined. Here, we identified influential environmental determinants of berry plant distribution and produced predictions on how climate change might shift these distributions. Location: Bristol Bay and Togiak NRCS Survey Areas, Alaska. Methods: We built species distribution models using the Random Forests algorithm to identify key characteristics and predict the spatial distribution of habitats suitable for five berry plant species: Vaccinium uliginosum L., Empetrum nigrum L., Rubus chamaemorus L., Vaccinium vitis-idaea L., and Viburnum edule (Michx.) Raf. Then, we used future climate projections (2081-2100; representative concentration pathways 4.5, 6.0, & 8.5) to predict shifts in species' suitable habitat distributions based on future climate conditions. Results: The predicted amount and spatial patterns of suitable habitat for the current time period were variable among species, consistent with species' diverse life history attributes and habitat preferences. Future climate models predicted both positive and negative changes to suitable habitat probability for all species; future binary classification maps predicted net declines in suitable habitat area for all species and climate scenarios tested. Models identified elevation, soil characteristics, and January and July temperatures as important drivers of suitable habitat distributions. Main conclusions: Our work contributes to understanding the response of important berry plant species to climate change at a landscape scale. Shifting and retracting distributions may alter where communities have access to harvesting areas, suggesting that access to these resources may become restricted in the future. Our prediction maps may help inform climate adaptation planning as communities anticipate shifting access to harvesting locations.

opencc-zeroApr 2023View details →

Data for: Simulated climate change causes asymmetric responses in insect life history timing potentially disrupting a classic ecological speciation system

Climate change may alter phenology within populations with cascading consequences for community interactions and ongoing evolutionary processes. Here, we measured the response to climate change in two sympatric, recently diverged (~170 years) populations of Rhagoletis pomonella flies specialized on different host fruits (hawthorn and apple) and their parasitoid wasp communities. We tested whether warmer temperatures affect dormancy regulation and its consequences for synchrony across trophic levels and temporal isolation between divergent populations. Under warmer temperatures, both fly populations developed earlier. However, warming significantly increased the proportion of maladaptive pre-winter development in apple, but not hawthorn, flies. Parasitoid phenology was less affected, potentially generating ecological asynchrony. Observed shifts in fly phenology under warming may decrease temporal isolation, potentially limiting ongoing divergence. Our findings of complex sensitivity of life-history timing to changing temperatures predict that coming decades may see multifaceted ecological and evolutionary changes in temporal specialist communities.

Figure 3 in A phylogenetic analysis of the grape genus (Vitis L.) reveals broad reticulation and concurrent diversification during neogene and quaternary climate change

Figure 3 Chronogram of Bayesian divergence time estimates of Vitis diversification based on 27 concatenated nuclear gene fragments inferred using the BEAST software. Grey bars represent the 95% Highest Posterior Density (HPD) intervals of nodal age in million years. Calibration points are indicated with filled circles. Significant evolutionary events are indicated with black diamonds. Asterisk indicates inclusion of a clonally propagated cultivar that may affect the local divergence estimate. Additional files 4 and 5 show nodal ages and posterior probabilities for all nodes in this tree.

Figure 1 in A phylogenetic analysis of the grape genus (Vitis L.) reveals broad reticulation and concurrent diversification during neogene and quaternary climate change

Figure 1 Native geographic distribution of the genus Vitis (grey shading1) and geographic regions of origin of Vitis species used in this study. Dashed lines indicate southern borders of the polar ice cap during the most recent ice age2. Dash-dot lines indicate ice age refugia of the forest flora2. Areas labeled 1 through 4 were used in ancestral area optimization (reversible parsimony, Additional file 14). Redrawn from 1Alleweldt et al. [7], 2Reinig [14].

Figure 6 in A phylogenetic analysis of the grape genus (Vitis L.) reveals broad reticulation and concurrent diversification during neogene and quaternary climate change

Figure 6 Simplified version (cartoon) of the MP strict consensus tree. Blue = North and Central American accessions, Green = Asian accessions, Red = European accessions. For comparison, Additional files 6 and 10 represent cartoons of the ML and BA trees, respectively.

Figure 5 in A phylogenetic analysis of the grape genus (Vitis L.) reveals broad reticulation and concurrent diversification during neogene and quaternary climate change

Figure 5 Hypothesis of phylogenetic relationships among Vitis species. Eurasia. Continuation of Figure 4.

Figure 2 in A phylogenetic analysis of the grape genus (Vitis L.) reveals broad reticulation and concurrent diversification during neogene and quaternary climate change

Figure 2 The NeighborNet of 273 accessions based on 27 concatenated nuclear gene fragments. Numbers indicate the series to which species have been recognized 1: Aestivales (Planchon); 2: Cinerascentes (Planchon); 3: Cordifoliae (Munson); 4: Labruscae (Planchon); 5: Ripariae (Munson); 6: Occidentales (Munson); 7: Viniferae (Planchon); 8: Flexuosae (Galet); 9: Spinosae (Galet). See also Additional file 15.

opencc-by-4.0May 2023View details →

SECURES-Met - A European wide meteorological data set suitable for electricity modelling (supply and demand) for historical climate and climate change projections

For the modelling of electricity production and demand, meteorological conditions are becoming more relevant due to the increasing contribution from renewable electricity production. But the requirements on meteorological data sets for electricity modelling are quite high. One challenge is the high temporal resolution, since a typical time step for modelling electricity production and demand is one hour. On the other side the European electricity market is highly connected, so that a pure country based modelling does not make sense and at least the whole European Union area has to be considered. Additionally, the spatial resolution of the data set must be able to represent the thermal conditions, which requires high spatial resolution at least in mountainous regions. All these requirements lead to huge data amounts for historic observations and even more for climate change projections for the whole 21st century. Thus, we have developed an aggregated European wide data set that has a temporal resolution of one hour, covers the whole EU area, has a reasonable size but is considering the high spatial variability. This meteorological data set for Europe for the historical period and climate change projections fulfills all relevant criteria for energy modelling. It has a hourly temporal resolution, considers local effects up to a spatial resolution of 1 km and has a suitable size, as all variables are aggregated to NUTS regions. Additionally meteorological information from wind speed and river run-off is directly converted into power productions, using state of the art methods and the current information on the location of power plants. Within the research project SECURES (https://www.secures.at/) this data set has been widely used for energy modelling.   The SECURES-Met dataset provides variables visible in the table. <table> <tbody><tr> <th>Variable</th> <th>Short name</th> <th>Unit</th> <th>Aggregation methods</th> <th>Temporal resolution</th> </tr> </tbody><tbody> <tr> <th>Temperature (2m)</th> <td>T2M</td> <td> °C °C </td> <td> spatial mean population weighted mean (recommended) </td> <td>hourly</td> </tr> <tr> <th>Radiation</th> <td> GLO (mean global radiation) BNI (direct normal irradiation) </td> <td> Wm-2 Wm-2 </td> <td> spatial mean population weighted mean (recommended) </td> <td>hourly</td> </tr> <tr> <th>Potential Wind Power </th> <td>WP</td> <td>1</td> <td>normalized with potentially available area</td> <td>hourly</td> </tr> <tr> <th>Hydro Power Potential</th> <td> HYD-RES (reservoir) HYD-ROR (run-of-river) </td> <td> MW 1 </td> <td> summed power production summed power production normalized with average daily production </td> <td>daily</td> </tr> </tbody> </table>                           SECURES-Met is available in a tabular csv format for the historical period (1981-2020, Hydro only until 2010) created from ERA5 and ERA5-Land and two future emission scenarios (RCP 4.5 and RCP 8.5, both 1951-2100, wind power starting from 1981, hydro power from 1971) created from one CMIP5 EUROCORDEX model (GCM:  ICHEC-EC-EARTH, RCM: KNMI-RACMO22E, ensemble run: r12i1p1) on the spatial aggregation level <ul> <li>NUTS0 (country-wide),</li> <li>NUTS2 (province-wide),</li> <li>NUTS3 (Austria only),</li> <li>and EEZ (Exclusive Economic Zones, offshore only).</li> </ul> The data is divided into the historical (Historical.zip) and the two emission scenarios (Future_RCP45.zip and Future_RCP85.zip), a README file, which describes, how the files are organized,  and a folder (Meta.zip), which has information and shape files of the different NUTS levels. As population weighted temperature and radiation represent values in geographical areas more relevant for solar power, it is highly relevant to use population weighted files. Spatial mean should be used for reference only. The project SECURES, in which this dataset was produced, was funded by the Climate and Energy Fund (Klima- und Energiefonds) under project number KR19AC0K17532.

opencc-by-4.0May 2023View details →

Interaction matters: Bottom-up driver interdependencies alter the projected response of phytoplankton communities to climate change, links to model results

This dataset provides the output of ten model simulations with the global ocean biogeochemical model FESOM-REcoM necessary to reproduce the findings of Seifert et al. (2023). In addition to information on the mesh, the dataset contains 5-year means of global phytoplankton biomass, chlorophyll, net primary production, growth rates, limitations, carbonate system parameters (dissolved inorganic carbon, CO2 partial pressure, total alkalinity), temperature, photosynthetically active radiation, and mixed layer depths. File names refer to the figures in the paper where the respective data are used. See “readme” for detailed information on the dataset and separate files.

opencc-zeroMay 2023View details →

Interspecific differences in thermal tolerance landscape explain aphid community abundance under climate change

A single critical thermal limit is often used to explain and infer the impact of climate change on geographic range and population abundance. However, it has limited application in describing the temporal dynamic and cumulative impacts of extreme temperatures. Here, we used a thermal tolerance landscape approach to address the impacts of extreme thermal events on the survival of co-existing aphid species (Metopolophium dirhodum, Sitobion avenae and Rhopalosiphum padi). Specifically, we built the thermal death time (TDT) models based on detailed survival datasets of three aphid species with three ages across a broad range of stressful high (34–40 ÅãC) and low (−3∼-11 ÅãC) temperatures to compare the interspecific and developmental stage variations in thermal tolerance. Using these TDT parameters, we performed a thermal risk assessment by calculating the potential daily thermal injury accumulation associated with the regional temperature variations in three wheat-growing sites along a latitude gradient. Results showed that M. dirhodum was the most vulnerable to heat but more tolerant to low temperatures than R. padi and S. avenae. R. padi survived better at high temperatures than Sitobion avenae and M. dirhodum but was sensitive to cold. R. padi was estimated to accumulate higher cold injury than the other two species during winter, while M. dirhodum accrued more heat injury during summer. The warmer site had higher risks of heat injury and the cooler site had higher risks of cold injury along a latitude gradient. These results support recent field observations that the proportion of R. padi increases with the increased frequency of heat waves. We also found that young nymphs generally had a lower thermal tolerance than old nymphs or adults. Our results provide a useful dataset and method for modelling and predicting the consequence of climate change on the population dynamics and community structure of small insects.