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15 results for “Climate matching”
Data from: Global plant-frugivore trait matching is shaped by climate and biogeographic history
<p>Species interactions are influenced by the trait structure of local multi-trophic communities. However, it remains unclear whether mutualistic interactions, in particular, can drive trait patterns at the global scale, where climatic constraints and biogeographic processes gain importance. Here we evaluate global relationships between traits of frugivorous birds and palms (<em>Arecaceae</em>), and how these relationships are affected, directly or indirectly, by assemblage richness, climate and biogeographic history. We leverage a new and expanded gape size dataset for nearly all avian frugivores, and find a positive relationship between gape size and fruit size, that is, trait matching, which is influenced indirectly by palm richness and climate. We also uncover a latitudinal gradient in trait matching strength, which increases towards the tropics and varies among zoogeographic realms. Taken together, our results suggest trophic interactions have consistent influences on trait structure, but that abiotic, biogeographic and richness effects also play important, though sometimes indirect, roles in shaping the functional biogeography of mutualisms.</p>
Data from: The article Euclimatch: An R package for climate matching with Euclidean distance metrics
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Data from: Global plant-frugivore trait matching is shaped by climate and biogeographic history
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Climate matching models for Ceratapion basicorne (Coleoptera: Apionidae), a biocontrol agent of yellow starthistle
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Data from: Climate matching and anthropogenic factors contribute to the colonisation and extinction of local populations during avian invasions
<p>Concern about the impacts of biological invasions has generated a great deal of interest in understanding factors that determine invasion success. Most of our current knowledge comes from static approaches that use spatial patterns as a proxy of temporal processes. These approaches assume that species are present in areas where environmental conditions are the most favourable. However, this assumption is problematic when applied to dynamic processes such as species expansions when equilibrium has not been reached. In our work, we analyse the roles played by human activities, climatic matching, and spatial connectivity on the two main underlying processes shaping the spread of invasive species (i.e., colonisation and extinction) using a dynamic modelling approach. For this, we used a large dataset that has recorded the occurrence of two invasive bird species -the ring-necked and the monk parakeets- in the Iberian Peninsula from 1991 to 2016. </p>
Data from: Climate matching and anthropogenic factors contribute to the colonisation and extinction of local populations during avian invasions
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Data for: Testing the match-mismatch hypothesis in bighorn sheep in the context of climate change
<p><span><span><span><span><span><span><span><span><span><span><span>In species with long gestation, females commit to reproduction several months before parturition. If cues driving conception date are uncoupled from spring conditions, parturition could be mistimed. Mismatch may increase with global change if the rate of temporal changes in autumn cues differs from the rate of change in spring conditions. Using 17 years of data on climate and vegetation phenology, we show that autumn temperature and precipitation, but not vegetation phenology, explain parturition date in bighorn sheep. Although autumn cues drive the timing of conception, they do not predict conditions at parturition in spring. We calculated the mismatch between individual parturition date and spring green-up, assessed whether mismatch increased over time and investigated the consequences of mismatch on lamb neonatal survival, weaning mass and overwinter survival. Mismatch fluctuated over time but showed no temporal trend. Temporal changes in green-up date did not lead to major fitness consequence of mismatch. Detailed data on individually marked animals revealed no effect of mismatch on neonatal or overwinter survival, but lamb weaning mass was negatively affected by mismatch. Capital breeders might be less sensitive to mismatch than income breeders because they are less dependent on daily food acquisition. Herbivores in seasonal environments may access sufficient forage to sustain lactation before or after the spring 'peak' green-up, and partly mitigate the consequences of a mismatch. Thus, the effect of phenological mismatch on fitness may be affected by species life-history, highlighting the complexity in quantifying trophic mismatches in the context of climate change. </span></span></span></span></span></span></span></span></span></span></span></p>
Data from: Matching seed to site by climate similarity: Techniques to prioritize plant materials development and use in restoration
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Data for: Testing the match-mismatch hypothesis in bighorn sheep in the context of climate change
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Data from: Matching habitat choice promotes species persistence under climate change
Species may survive under contemporary climate change by either shifting their range or adapting locally to the warmer conditions. Theoretical and empirical studies recently underlined that dispersal, the central mechanism behind these responses, may depend on the match between an individuals' phenotype and local environment. Such matching habitat choice is expected to induce an adaptive gene flow, but it now remains to be studied whether this local process could promote species' responses to climate change. Here, we investigate this by developing an individual-based model including either random dispersal or temperature-dependent matching habitat choice. We monitored population composition and distribution through space and time under climate change. Relative to random dispersal, matching habitat choice induced an adaptive gene flow that lessened spatial range loss during climate warming by improving populations' viability within the range (i.e. limiting range fragmentation) and by facilitating colonization of new habitats at the cold margin. The model even predicted in some cases range contraction under random dispersal but range expansion under optimal matching habitat choice. These benefits of matching habitat choice for population persistence mostly resulted from adaptive immigration decision and were greater for populations with larger dispersal distance and higher emigration probability. We also found that environmental stochasticity resulted in suboptimal matching habitat choice, decreasing the benefits of this dispersal mode under climate change. However population persistence was still better under suboptimal matching habitat choice than under random dispersal. Our results highlight the urgent need to implement more realistic mechanisms of dispersal such as matching habitat choice into models predicting the impacts of ongoing climate change on biodiversity.
Codes for climate impacts supply-demand match
<p>Codes for climate impacts supply-demand match of global wind and solar energy systems</p>
Climate matching models for the yellow starthistle rosette weevil (Coleoptera: Apionidae) for the western U.S.
<p>The CSV file contains weekly estimates of daily climate data for the western U.S. at 1 km2 resolution. The file was too large to upload to GitHub so must be downloaded separately and placed in the "/data/weekly/away" directory of hte "CEBA_climMatch" repository at: https://github.com/bbarker505/CEBA_climMatch.</p> <p>Column names are the variable plus week number, except for column 1, which is annual precipitation ("ppt_ann"). Variables include: precipitation ("ppt"), soil moisture ("sm"), maximum tempearture ("tmax"), and minimum temperature ("tmin"). See Barker et al. (2024) pre-print at XXX for more details about the climate data and how they were used.</p>
Data from: Matching habitat choice promotes species persistence under climate change
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Data from: Stand Diversity does not Mitigate Increased Herbivory on Climate-Matched Oaks in an Assisted Migration Experiment
<p>Assisted migration is a tree planting method where tree species or populations are translocated with the aim of establishing more climate-resilient forests. However, this might potentially increase susceptibility of translocated trees to herbivory. Stand diversification through planting trees in species or genotypic mixtures may reduce the amount of damage by insect pests, but its effectiveness in mitigation of excess herbivory on climate-matched trees has seldom been explored.</p>
The role of moral disengagement and ethical climate in match-fixing susceptibility amongst athletes.
<p><strong>Abstract</strong></p> <p>Match-fixing represents a major threat to the integrity of sport. However, the existing evidence on the mechanisms underlying the psychological processes and contextual influences related to the decision to engage in match-fixing is limited. To address this gap, the present study was designed to investigate the interplay between moral disengagement and ethical climate on match-fixing susceptibility. Competitive athletes from three countries (N = 406, M<sub>age</sub> = 22.07, SD = 5.64, 83.4% males) competed measures of match-fixing susceptibility, moral disengagement and team ethical climate. The results indicated a positive relationship between moral disengagement and susceptibility to match-fixing, suggesting that those with higher scores on moral disengagement were more likely to be susceptible to match-fixing. In addition, team internal ethical climate moderated the relationship between moral disengagement and match-fixing susceptibility. A stronger positive relationship emerged between moral disengagement and match-fixing susceptibility in participants with higher than average (+1SD) levels of team ethical climate. Willingness to report violations did not moderate this relationship. The findings of the study provide valuable information on the interplay of moral disengagement and team ethical climate in predicting susceptibility to engage into match-fixing.</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)
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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.