Find research datasets worth reusing

Fig. 5 in The effects of short-term climate change on the range of species: the case of the expanding European dwarf mantis Ameles spallanzania in northern Italy (Mantodea: Amelidae)

Fig. 5 – Boxplots of suitability per decade referred to the historical range and northern Italy.

Fig. 6 in The effects of short-term climate change on the range of species: the case of the expanding European dwarf mantis Ameles spallanzania in northern Italy (Mantodea: Amelidae)

Fig. 6 – Extent of predicted presence areas derived from binary maps.

Fig. 2 in The effects of short-term climate change on the range of species: the case of the expanding European dwarf mantis Ameles spallanzania in northern Italy (Mantodea: Amelidae)

Fig. 2 – Land use in the occurrences of the current period.

Fig. 3 in The effects of short-term climate change on the range of species: the case of the expanding European dwarf mantis Ameles spallanzania in northern Italy (Mantodea: Amelidae)

Fig. 3 – Importance of climatic variables used to model the distribution of Ameles spallanzania.

opencc-by-4.0Jul 2024View details →

Data to support 'Deforestation amplifies climate change effects on warming and cloud level rise in African montane forest'

This respository contains output data to support the manuscript titled 'Deforestation amplifies climate change effects on warming and cloud level rise in African montane forest' by Temesgen Alemayehu Abera, Janne Heiskanen Eduardo Eiji Maeda, Mohammed Ahmed Muhammed, Netra Bhandari, Ville Vakkari, Binyam Tesfaw Hailu, Petri K.E. Pellikka, Andreas Hemp, Pieter G. van Zyl, and Dirk Zeuss

opencc-by-4.0Jul 2024View details →

Missing the (tipping) point: the effect of information about climate tipping points on public risk perceptions in Norway [Dataset]

This is all the data used for the redaction of the research paper "Missing the (tipping) point: the effect of information about climate tipping points on public risk perceptions in Norway".   The dataset is contained in Excel files (.xlsx) and code for statistical analysis can be found in R files (.R)

opencc-by-4.0Apr 2018View details →

Dataset: Climate change effects on early stages of Quercus ariifolia (Fagaceae), an endemic oak from seasonally dry forests of Mexico

This repository contains the files associated with the following article: Badano EI, FA Guerra-Coss, EJ Sánchez-Montes de Oca, CI Briones-Herrera & SM Gelviz-Gelvez. Climate change effects on early stages of Quercus ariifolia (Fagaceae), an endemic oak from seasonally dry forests of Mexico. Acta Botanica Mexicana, 126, Article e1466. <a href="https://doi.org/10.21829/abm126.2019.1466">https://doi.org/10.21829/abm126.2019.1466</a> The first Microsoft Excel file (Additional data 01 - Microclimate.xlsx) contains microclimate data gathered within control plots and climate change simulation plots (CCS plots) during the field experiment. These data include air temperature (measured every hour in 10 experimental units of each climate treatment with dataloggers - HOBO U23-Pro-V2, Onset Computer Corporation, USA), rainfall (measured at each rainfall event in 5 experimental units of each climate treatment with automatized pluviometers - HOBO S-RGB-M002, Onset Computer Corporation, USA) and soil water content (measured every week in 10 experimental units of each climate treatment with a time-domain reflectometer - FieldScout TDR 300, Spectrum Technologies, USA). Values of each of these variables are provided in different spreadsheets. The second Microsoft Excel file (Additional data 02 - Seedling responses) contains the data used to calculate the emergence rates and survival rates of Quercus ariaefolia during the experimental period a each experimental treatment. This file also contains the data gathered at the end of the experiment about chlorophyll content (in SPAD Units) and chlorophyll fluorescence (the spreadsheet contains the values of these variables measured on each seedling leaf; the computation of averages across leaves of each seedling is provided on the side), and the other functional traits measured on seedlings from controls and CCS plots.

opencc-by-4.0Oct 2019View details →

Impact Degassing of H2 on Early Mars and Its Effect on the Climate System

Supporting information contains IDL saveset files to reproduce figures, and IDL source code to run the model, and an excel spreadsheet of crater statistics.

opencc-by-4.0Oct 2016View details →

Figure 1 in The potential effects of future climate change on suitable habitat for the Taiwan partridge (Arborophila crudigularis): an ensemble-based forecasting method

Figure 1. Modeled range and presence records for Arborophila crudigularis.

opencc-by-4.0Sep 2024View details →

Code and data from: Towards a more dynamic metabolic theory of ecology to predict climate change effects on biological systems

This repository contains data and code used to produce Figures 1, 2, and S1 in Towards a more dynamic metabolic theory of ecology to predict climate change effects on biological systems. The file "empirical_mte_database.csv" contains a database of peer-reviewed articles pulled from a Web of Science search of papers that empirically tested the temperature dependence predictions of the metabolic theory of ecology (Brown et al. 2004) between 2004 and 2024.  The .zip file contains a jupyter notebook, julia project toml file and a README in order to reproduce the simulations illustrating how different temperature dynamics can lead to different inferred thermal performance curves in populations.

opencc-by-4.0Oct 2024View details →

Model results and data associated with "Antecedent effect models as an exploratory tool to link climate drivers to herbaceous perennial population dynamics data"

Model results and data (including Bayesian posteriors) associated with "Antecedent effect models as an exploratory tool to link climate drivers to 3 herbaceous perennial population dynamics data". This is a repository created to store the posteriors of the models fit within this project. Because these occupy so much space, it makes sense to store them in a separate repository. There are two directories: <ul> <li>model_results/ contains all of the posteriors (files with character pattern main_posterior_#.csv). The three types of files contained in this directory are described in metadata_model_results.xlsx. The number # corresponds to column "index" in file raw_data/design_insample.csv.</li> <li>raw_data/ is mostly not essential: it contains the raw data to fit models, and it replicates folder data/ in repository https://dx.doi.org/10.5281/zenodo.13909628.</li> </ul>

opencc-zeroJul 2021View details →

The effects of climate and demographic history in shaping genomic variation across populations of the Desert Horned Lizard (Phrynosoma platyrhinos)

Species often experience spatial environmental heterogeneity across their range, and populations may exhibit signatures of adaptation to local environmental characteristics. Other population genetic processes, such as migration and genetic drift, can impede the effects of local adaptation. Genetic drift in particular can have a pronounced effect on population genetic structure during large-scale geographic expansions, where a series of founder effects leads to decreases in genetic variation in the direction of the expansion. Here we explore the genetic diversity of a desert lizard that occupies a wide range of environmental conditions and that has experienced post-glacial expansion northwards along two colonization routes. Based on our analyses of a large SNP dataset, we find evidence that both climate and demographic history have shaped the genetic structure of populations. Pronounced genetic differentiation was evident between populations occupying cold versus hot deserts, and we detected numerous loci with significant associations with climate. The genetic signal of founder effects, however, is still present in the genomes of the recently expanded populations, which comprise subsets of genetic variation found in the southern populations, and we found substantial evidence that genetic diversity of lizards differs along the two colonization routes.

opencc-by-nc-nd-4.0Dec 2017View details →

Effects of dimethyl sulfide pertubations in ACCESS-UKCA climate simulations

This dataset includes 10-year averages of cloud, radiation, precipitation and aerosol/chemistry fields from the Australian Community Climate and Earth System Simulator (ACCESS) United Kingdom Chemistry and Aerosol (UKCA) model. This model includes a sophisticated chemistry and aerosol scheme GLOMAP-mode (Mann et al. 2012). The model runs were used to evaluate cloud, radiation and precipitation of this model and to quantify the role of dimethyl sulfide in the global climate system. Simulations were run from 2000-2009, including a control run and two experimental runs that look at the climate response to large changes in oceanic dimethyl sulfide (DMS). The horizontal grid resolution is 1.25 degree latitude, 1.85 degree longitude, with 85 vertical levels, SSTs and sea ice were prescribed to AMIP SSTs and the model was nudged to ERA-Interim. Emissions were prescribed to ACCMIP pre-2000, and RCP6.0 post 2000. Three simulations were performed where the oceanic surface concentrations of DMS were altered: <ul> <li> Control -- a control run using the Lana et al. (2011) oceanic DMS data set</li> <li> zero_DMS -- a run in which oceanic dimethyl sulfide is removed (set to zero)</li> <li> max_DMS -- a run in which oceanic dimethyl sulfide is set to its latitudinal maximum.</li> </ul> A detailed description of the model and the experimental set up can be found in Fiddes et al. 2018 The model simulations were run on the National Computing Infrastructure (NCI) facilities. Python 2.7 was used to do the analysis of model output. The simulations and analysis were performed by Sonya Fiddes as part of her PhD with the ARC Centre of Excellence for Climate System Science research program: "The effects of tropical convection on Australia's climate".

opencc-zeroNov 2022View details →

Alaska Sustainable Salmon Fund Project #52002: Climate warming effects on Chinook Salmon foraging conditions and growth

The Chena River hosts one of the largest populations of Chinook Salmon in the Alaska portion of the Yukon River drainage, which has recently experienced poor Chinook returns throughout. Past work suggests that these fish do poorly when they grow slowly due to cold, high-flow conditions during their first summer in the river as juveniles, and the population does well when juveniles experience warm, low-flow years and grow larger. Because high flow drives low water temperatures and vice versa, it was previously unclear to what extent each factor—flow and temperature—affects the fish population. We collected data to run foraging and bioenergetics models that simulate how flow and temperature affect growth. We invented two sampling devices, a suction pump to sample drifting prey and a computer vision system to measure the inedible debris that occupy most of a fish's feeding effort. We combined our data with USGS and NOAA records to predict temperature, turbidity, prey, and debris on a daily basis throughout our study years (2019-2020) and others. This dataset contains the data we collected and compiled from other sources on fish growth, temperature, invertebrate drift, and drifting debris.

opencc-zeroDec 2022View details →

Data for: Simulating effects of agricultural intensification and climate change: Nitrogen fertilization and drought stress decrease insect herbivore performance

Biodiversity is globally under pressure, and the current decline in insect biomass and diversity is likely caused by human activities. Key drivers of biodiversity loss include agricultural intensification and anthropogenic climate change. Nevertheless, a thorough understanding of potential interactions between both factors and the mechanisms underlying insect declines in general is still lacking. Here, we investigate the combined effects of nitrogen fertilization and drought, as applied to host plants, on the preference and performance of the butterfly Lycaena tityrus. Individuals performed best on plants having received medium nitrogen levels, while performance was reduced by either a lack of or strong fertilization, the former potentially caused by nitrogen limitation and the latter by increased concentrations of toxic allelochemicals. Female oviposition preference though was positively related to nitrogen fertilization, resulting in a mismatch between preference and offspring performance at high nitrogen levels. Plant drought stress additionally reduced herbivore performance, and females appeared to suffer more from low-quality food than males. Our results indicate that increasing nitrogen fertilization, as applied in intensive agriculture, may substantially reduce host-plant quality for insect herbivores, which may be exaggerated in the course of climate change due to the more frequent occurrence of droughts. Our study thus contributes to a better understanding of the mechanisms underlying human-driven insect declines in agricultural landscapes and beyond.

opencc-zeroFeb 2023View details →

Dataset related to article: Differential effect of climate of origin and cultivation climate on structural and biochemical plant traits

Exploring patterns and causes of intraspecific trait variation is crucial for a better understanding of the effects of climate change on plant populations and ecosystems. However, our current understanding of the intraspecific trait variation is mainly based on structural (morphological) traits, and we have limited knowledge on patterns and causes of variation in biochemical traits (e.g., leaf pigments), which are also crucial for plant adaptation. As a result, we also do not know how similar the climatic effects on structural versus biochemical traits are. Using plant traits from 110 genotypes representing 11 Festuca rubra populations grown in 4 different climates, we studied trait covariation among structural traits (linked to fitness, resource use, gas exchange, and reproduction) and biochemical traits (linked to photosynthesis, photoprotection, and oxidative stress). We also disentangled the relative role of the climate of origin and the climate of cultivation in the structural versus biochemical traits and tested for adaptive plasticity in the traits. We found that 1) biochemical traits did not covary with structural traits and represent independent 'photoharvesting – photoprotection' strategy dimension of functional variation; 2) interactive effects of climate of origin and cultivation were more pronounced for biochemical than structural traits. 3) Trait plasticity was affected by the climate of origin (precipitation and temperature as well as their interaction); 4) F. rubra showed both adaptive and mal-adaptive plasticity, and adaptiveness depended upon trait type, cultivation climate, and climate of origin. Overall, our results suggest that structural and biochemical plant traits respond differentially to climate and thus the response of one group of traits cannot be predicted from the other. Responses are also strongly determined by interactions between the climate of origin and cultivation. Thus, more studies on variation in biochemical traits, their correspondence to other traits, and their variation with climate are needed.

opencc-zeroFeb 2023View details →

Niche dynamics of Memecylon in Sri Lanka: distribution patterns, climate change effects, and conservation priorities

Aim: Recent climate projections have shown that the distribution of organisms in island biotas is highly affected by climate change. Here, we present the results of the analysis of niche dynamics of a plant group, Memecylon on Sri Lanka, an island, using species occurrences and climate data. We aim to determine which climate variables explain current distribution, model how climate change impacts the availability of suitable habitat for Memecylon, and determine conservation priority areas for Sri Lankan Memecylon. Location: Sri Lanka Methods: We used georeferenced occurrence data of Sri Lankan Memecylon to develop ecological niche models and assess both current and future potential distributions under six climate change scenarios in 2041-2060 and 2061-2080. We also overlaid land-cover, and protected area maps and performed a gap analysis to understand the impacts of land-cover changes on Memecylon distributions and propose new areas for conservation. Results: Differences among suitable habitats of Memecylon were found to be related to patterns of endemism. Under varying future climate scenarios, endemic groups were predicted to experience habitat shifts, gains, or losses. The narrow endemic Memecylon restricted to the montane zone were predicted to be the most impacted by climate change. Projections also indicated that changes in species' habitats can be expected as early as 2041-2060. Gap analysis showed that while narrow endemic categories are considerably protected as demonstrated by their overlap with protected areas, more conservation efforts in Sri Lankan forests containing wide endemic and non-endemic Memecylon are needed. Main conclusions: This research helped clarify general patterns of responses of Sri Lankan Memecylon to global climate change. Data from this study are useful for designing measures aimed at filling the gaps in forest conservation on this island.

opencc-zeroFeb 2023View details →

Data from: Contrasting long-term trends in juvenile abundance of a widespread cold-water salmonid along a latitudinal gradient: Effects of climate, stream size and migration strategy

A changing climate reshapes the range distribution of many organisms, and species with relatively low thermal optima, like many salmonids, are increasingly expected to face local population extinctions at lower latitudes. Understanding where and how fast these changes are happening is of pivotal importance for successful mitigation and conservation efforts. We used an extensive electrofishing database to explore temporal trends of brown trout juveniles (Salmo trutta L.) in 218 locations from 174 Swedish streams, over the last 30 years (1991–2020). We hypothesized that 1) declines in abundance have occurred predominately in the warmer, southern regions, while increases have occurred in the colder, northern regions, 2) larger stream sizes may partly offset negative effects of climate, and 3) migrating and resident populations are affected differently by a warming climate. We found that abundance of brown trout juveniles generally declined in warmer regions, especially in smaller streams (≤ 6 m wide), while the abundance increased in colder regions. In larger streams, negative effects of higher temperatures were seemingly buffered, as we found lower rates of decline or even positive trends. The rate of change (i.e. the slopes of the trends in abundance) was more pronounced towards the climate extremes and was on average zero in regions with a normal annual air temperature (average temperature over 30-year period) around 5–6 ºC. Warmer climate had stronger effects on migrating compared to resident populations, suggesting that climate-induced loss of stream connectivity could be an additional factor that hinders recruitment in anadromous populations in a changing climate. Considering predictions of increasing temperatures and frequency of summer droughts, management of cold-water salmonid populations should focus on conserving and restoring riparian vegetation, wetlands, climate and thermal refugia, and habitat integrity overall. Such measures may, however, not suffice for small streams at lower latitudes, unless hydrological connectivity is maintained.

opencc-zeroMar 2023View details →

Long-term effect of forest harvesting on boreal species assemblages under climate change

Logging is the main human disturbance impacting biodiversity in forest ecosystems. However, the impact of forest harvesting on biodiversity is modulated by abiotic conditions through complex relationships that remain poorly documented. Therefore, the interplay between forest management and climate change can no longer be ignored. Our aim was to study the expected long-term variations in the assemblage of bird and beetle communities following modifications in forest management under different climate change scenarios. We developed species distribution models to predict the occurrence of 88 species of birds and beetles in eastern Canadian boreal forests over the next century. We simulated three climate scenarios (baseline, RCP4.5 and RCP8.5) under which we varied the level of harvesting. We also analyzed the regional assemblage dissimilarity by decomposing it into balanced variations in species occupancy and occupancy gradient. We predict that forest harvesting will alter the diversity by increasing assemblage dissimilarity under all the studied climate scenarios, mainly due to species turnover. Species turnover intensity was greater for ground-dwelling beetles, probably because they have lower dispersal capacity than flying beetles or birds. A good dispersal capacity allows species to travel more easily between ecosystems across the landscape when they search for suitable habitats after a disturbance. Regionally, an overall increase in the probability of occupancy is projected for bird species, whereas a decrease is predicted for beetles, a variation that could reflect differences in ecological traits between taxa. Our results further predict a decrease in the number of species that increase their occupancy after harvest under the most severe climatic scenario for both taxa. We anticipate that under severe climate change, increasing forest disturbance will be detrimental to beetles associated with old forests but also with young forests after disturbances.