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387 results for “climate adaptation”
Data from: Model-aided climate adaptation for future maize in the U.S.
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A transcontinental experiment elucidates (mal)adaptation of a cosmopolitan plant to climate in space and time
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Data from: Testing metabolic cold adaptation and the climatic variability hypotheses across the latitudinal range of a widespread, supratidal water beetle
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Data from: Local adaptation has a role in reducing vulnerability to climate change in a widespread Amazonian forest lizard
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Data from: Local adaptation (mostly) remains local: reassessing environmental associations of climate-related candidate SNPs in Arabidopsis halleri
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Data from: Genetic, phenotypic, and environmental drivers of local adaptation and climate-change induced maladaptation in yellow warblers
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Simulated data and code from: Socio-economic predictors of Inuit hunting choices and their implications for climate change adaptation
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The capacity for adaptation to climate warming in a naturalized annual plant (<i>Brassica rapa</i>)
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Range-wide climate risk and adaptive potential in an iconic cold-water species (Part 2/2)
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Range-wide climate risk and adaptive potential in a cold-water fish species (Part 1/2)
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From common gardens to candidate genes: Exploring local adaptation to climate in red spruce
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Data from: Contrasting patterns of local adaptation along climatic gradients between a sympatric parasitic and autotrophic tree species
<p>Sympatric tree species are subject to similar climatic drivers, posing a question as to whether they display comparable adaptive responses. However, no study has explicitly examined local adaptation of co-occurring parasitic and autotrophic plant species to the abiotic environment. Here we test the hypotheses that a generalist parasitic tree would display a weaker signal of selection and genomic variation would associate with fewer climatic variables (particularly precipitation) but have similar spatial patterns to a sympatric autotrophic tree species. To test these hypotheses, we collected samples from 17 sites across the range of two tree species, the hemi-parasite <i>Nuytsia floribunda</i> (<i>n</i>=264) and sympatric autotroph<i> Melaleuca rhaphiophylla </i>(<i>n</i>=272). We obtained 5,531 high-quality genome-wide single nucleotide polymorphisms (SNPs) for <i>M. rhaphiophylla</i> and 6,727 SNPs for <i>N. floribunda</i> using DArTseq™ genome scan technology. Population differentiation and environmental association approaches were used to identify signals of selection. Generalized dissimilarly modelling was used to detect climatic and spatial patterns of local adaptation across climatic gradients. Overall, 322 SNPs were identified as putatively adaptive for the autotroph, while only 57 SNPs were identified for the parasitic species. We found genomic variation to associate with different sets of bioclimatic variables for each species, with precipitation relatively less important for the parasite. Spatial patterns of predicted adaptive variability were different and indicate that co-occurring species with disparate life history traits may not respond equally to selective pressures (i.e. temperature and precipitation). Together, these findings provide insight into local adaptation of sympatric parasitic and autotrophic tree species to abiotic environments.</p>
Signatures of local adaptation to climate in natural populations of sweet chestnut (Castanea sativa Mill.) from southern Europe
Context: Temperate forest species, such as chestnut (Castanea sativa Mill.), are currently threatened by increasing temperature together with disruption and reduction of precipitation due to climate change. In this context, understanding the adaptation processes of species will help to manage and ensure the conservation of forests. Aims: We studied the relationship between genetic variability and climate variables in natural populations of C. sativa using a landscape genomics approach aimed to identify local adaption processes. Methods: Using five genomic SSRs and eight functional EST-SSRs markers, 268 individuals belonging to ten different natural European chestnut populations distributed in contrasting climatic sites were genotyped. In addition, associations between allelic variation and climatic variables (environmental association analyses approach) were performed using Samada and LFMM. Results: Results highlighted a strong inter-relationship between climate variables and evolutionary processes resulting in adaptive variation. STRUCTURE analysis based on functional markers split the populations in three separate gene pools (K=3), mostly in agreement with the different climatic conditions existing in the studied areas. Divergent spatial patterns of genetic variation between rainy and arid areas were found. We detected a total of 202 associations with climate among 22 different alleles, 9% of which related with the outlier locus FIR059, known to be implicated in regulatory mechanisms during water stress adaptation processes. Conclusions: Landscape genomics analyses revealed a pattern of adaptive variation, where specific climatic variables influenced the frequencies distribution and fixation of several alleles, resulting in local adaptation processes of the populations in the investigated areas. Our findings underline the close inter-relationship existing between climate and genetic variability, and indicate how this approach could provide valuable information for the management of forest species in a rapidly changing environment.
Developmental life history is associated with variation in rates of climatic niche evolution in a salamander adaptive radiation
Rates of climatic niche evolution vary widely across the tree of life and are strongly associated with rates of diversification and the accumulation of species diversity among clades. However, why the climatic niche evolves more rapidly in some lineages than others remains unclear. Variation in life history traits often plays a key role in determining the environmental conditions under which species can survive, and therefore, could impact the rate at which lineages can expand in available climatic niche space. Here, we explore the relationships among life-history variation, climatic niche breadth, and rates of climatic niche evolution. We reconstruct a new phylogeny for the genus Desmognathus, an adaptive radiation of salamanders distributed across eastern North America, based on nuclear and mitochondrial genes. Using this phylogeny, we estimate rates of climatic niche evolution for species with long, short, and no aquatic larval stage. Rates of climatic niche evolution are unrelated to the mean climatic niche breadth of species with different life histories. Instead, we find that the evolution of a short larval period promotes greater exploration of climatic space, leading to increased rates of climatic niche evolution across species having this trait. We propose that morphological and physiological differences associated with variation in larval stage length underlie the heterogeneous ability of lineages to explore climatic niche space. Rapid rates of climatic niche evolution among lineages with short larval periods were an important dimension of the clade's adaptive radiation and likely contributed to the rapid rate of lineage accumulation following the evolution of an aquatic life history in this clade. Our results show how variation in a key life-history trait can constrain or promote divergence of the climatic niche, leading to variation in rates of climatic niche evolution among lineages.
Data from: Climate change shifts natural selection and the adaptive potential of the perennial forb Boechera stricta in the Rocky Mountains
Heritable genetic variation is necessary for populations to evolve in response to anthropogenic climate change. However, antagonistic genetic correlations among traits may constrain the rate of adaptation, even if substantial genetic variation exists. We examine potential genetic responses to selection by comparing multivariate genetic variance-covariances of traits and fitness (multivariate Robertson-Price identities) across different environments in a reciprocal transplant experiment of the forb Boechera stricta in the Rocky Mountains. By transplanting populations into four common gardens arrayed along an elevational gradient, and exposing populations to control and snow removal treatments, we simulated future and current climates and snowmelt regimes. Genetic variation in flowering and germination phenology declined in plants moved downslope to warmer, drier sites, suggesting that these traits may have a limited ability to evolve under future climates. Simulated climate change via snow removal altered the strength of selection on flowering traits, but we found little evidence that genetic correlations among traits are likely to affect the rate of adaptation to climate change. Overall, our results suggest that climate change may alter the evolutionary potential of B. stricta, but reduced expression of genetic variation may be a larger impediment to adaptation than constraints imposed by antagonistic genetic correlations.
Inferring current and Last Glacial Maximum distributions are improved by physiology-relevant climatic variables in cold-adapted ectotherms
<p>Table with the occurrence data at 10 min resolution (~20 x 20 km) for <em>Vipera berus</em> and <em>Zootoca vivipara</em>, used in Guillon et al. 2024, Inferring current and Last Glacial Maximum distributions are improved by physiology-relevant climatic variables in cold-adapted ectotherms. <a href="https://doi.org/10.1111/jbi.14828">https://doi.org/10.1111/jbi.14828</a></p>
Climate warming could free cold-adapted trees from C-conservative allocation strategy of storage over growth
<p>Carbon allocation has been fundamental for long-lived trees to survive cold stress at their upper elevation range limit. Although carbon allocation between NSC (non-structural carbohydrate) storage and structural growth is well-documented, it still remains unclear how ongoing climate warming influences these processes, particularly whether these two processes will shift in parallel or respond divergently to warming. Using a combination of an in situ downward-transplant warming experiment and an ex situ chamber warming treatment, we investigated how subalpine fir trees at their upper elevation limit coordinated carbon allocation priority among different sinks (e.g., NSC storage and structural growth) at whole-tree level in response to elevated temperature. We found that transplanted individuals from the upper elevation limit to lower elevations generally induced an increase in specific leaf area, but there was no detected evidence of warming effect on leaf-level saturated photosynthetic rates. Additionally, our results challenged the expectation that climate warming will accelerate structural carbon accumulation while maintaining NSC constant. Instead, individuals favored allocating available carbon to NSC storage over structural growth after one year of warming, despite the amplification in total biomass encouraged by both in situ and ex situ experimental warming. Unexpectedly, continued warming drove a regime shift in carbon allocation priority, which was manifested in the increase of NSC storage in synchrony to structural growth enhancement. These findings imply that climate warming would release trees at their cold edge from C-conservative allocation strategy of storage over structural growth. Thus, understanding the strategical regulation of the carbon allocation priority and the distinctive function of carbon sink components is of great implication for predicting tree fate in the future climate warming.</p>
Replication Package for: "Adapting to Climate Risk with Guaranteed Credit: Evidence from Bangladesh"
<p>Contains the code and publicly available datasets to replicate "Adapting to Climate Risk with Guaranteed Credit: Evidence from Bangladesh". Simulated data sets are provided in place of confidential datasets. See Readme file for details on how to obtain confidential data. </p>
Data from: Genomic signatures of climate adaptation in bank voles
<p><span>Evidence for </span><span>divergent selection and adaptive variation across the landscape</span><span> can provide insight into a species' ability to adapt to different environments. However, despite recent advances in genomics, it remains difficult to detect footprints of </span><span>climate mediated</span><span> selection in natural populations. Here we analysed ddRAD sequencing data (21,892 SNPs) in conjunction with geographic climate variation to search for signatures of adaptive differentiation in twelve populations of the bank vole (</span><em><span>Clethrionomys glareolus</span></em><span>) distributed across Europe. To identify the loci subject to selection associated with climate variation, we applied multiple genotype-environment association (GEA) methods, two univariate and one multivariate, and controlled for the effect of population structure. In total, we identified 213 candidate loci for adaptation, 74 of which were located within genes. In particular, we identified signatures of selection in candidate genes with functions related to lipid metabolism and the immune system. Using the results of redundancy analysis (RDA), we demonstrated that population history and climate have joint effects on the genetic variation in the pan-European metapopulation. Furthermore, by examining only candidate loci, we found that annual mean temperature is an important factor shaping adaptive genetic variation in the bank vole. By combining landscape genomic approaches, our study sheds light on genome-wide adaptive differentiation and the spatial distribution of variants underlying adaptive variation influenced by local climate in bank voles.</span></p>
Data and code from: Climatic variation allows montane willows to escape an adaptive tradeoff
<p>This repository contains the data and R code needed to reproduce all results and figures from Rosenblad & Ackerly (2024) Climatic variation allows montane willows to escape an adaptive tradeoff. File descriptions are below.</p> <p>analysis.R contains all R code.</p> <p>cutting_data.csv contains the following fields: 1- plant_id, a unique identifier for each genetically distinct in situ parent plant, from which cuttings were collected and propagated; 2- cutting_id, which specifies replicate cuttings from each in situ parent plant; 3- diameter_mm, the initial diameter at the base of each cutting (in millimeters) immediately following collection; and 4- height_cm, the initial height of each cutting.</p> <p>freezing_resistance_data.csv contains the following fields: 1- plant_id (see above); 2- cutting_id_1 (see cutting_id above); 3- cutting_id_2, which specifies replicate greenhouse-grown twigs sampled from each greenhouse plant (specified by cutting_id_1); and 4- new_growth, a binary variable indicating whether each twig survived and grew roots following the freezing treatment.</p> <p>leaf_and_shoot_mass_data.csv contains the following fields: 1- plant_id (see above); 2- cutting_id (see above); 3- shoots_g, the dry mass of all leaves harvested from the greenhouse plant at the end of the growth experiment; and 4- leaves_g, the dry mass of all shoots harvested from the greenhouse plant at the end of the growth experiment.</p> <p>plant_id.csv contains the following fields: 1- plant_id (see above); and 2- site_id, a unique identifier for the provenance site of each plant.</p> <p>psi_tlp_data.csv contains the following fields: 1- plant_id (see above); 2- cutting_id (see above); 3- psi_tlp_mpa, the measured turgor loss point (in megapascals); and 4- collection_environment, a binary variable distinguishing greenhouse plants from in situ parent plants.</p> <p>root_mass_data.csv contains the following fields: 1- plant_id (see above); 2- cutting_id (see above); and 3- root_mass_g, the dry mass of roots for the given measurement. Some plants had too much root material to measure all at once, so these plants were split into multiple measurement batches, each of which receives a row in this CSV.</p> <p>S_lemmonii_GBIF.csv contains occurrence data of S. lemmonii from the Global Biodiversity Information Facility. There are many fields. The important fields for this use case are decimalLatitude and decimalLongitude, the WGS 84 coordinates (EPSG 4326) of each observation. Information on the other fields is available at gbif.org.</p> <p>treatment.csv contains the following fields: 1- plant_id (see above); 2- cutting_id (see above); and 3-treatment, a binary variable indicating whether each greenhouse plant received the drought or control treatment during the growth experiment.</p> <p>fig1.png and other similarly named .png files are the figures in the paper. They can be re-generated by running analysis.R.</p> <p>aet_1981_2010_bcm.tif contains mean annual actual evapotranspiration data for the period 1981-2010 from the Basin Characterization Model.</p> <p>aprpck1981_2010_ave_HST_1641848708.tif, and other files with the same basename but different extensions, contain mean April 1 snow water equivalent data for the period 1981-2010 from the Basin Characterization Model.</p> <p>ds542.shp, and other files with the same basename but different extensions, contains a polygon outlining the Sierra Nevada ecoregion.</p> <p>KR_sites_WGS84.shp, and other files with the same basename but different extensions, contain polygons of the provenance sites.</p> <p>tmn1981_2010may_ave_HST_1689800754.tif, and other files with the same basename but different extensions, contain mean May minimum temperature data fro the period 1981-2010 from the Basin Characterization Model.</p>
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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.
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.