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145 results for “climatic differences”
Fig. 4 in Effect of urbanization on zoonotic gastrointestinal parasite prevalence in endemic toque macaque (Macaca sinica) from different climatic zones in Sri Lanka
Fig. 4. Number of parasite genera types (species richness) infecting M. s. aurifrons, M. s. sinica and M. s. opisthomelas in urban, suburban, and wild habitats.
Fig. 1 in Effect of urbanization on zoonotic gastrointestinal parasite prevalence in endemic toque macaque (Macaca sinica) from different climatic zones in Sri Lanka
Fig. 1. The three subspecies of macaque's endemic to Sri Lanka. (A) Common macaque (Macaca sinica sinica), (B) dusky or pale-fronted macaque (M. s. aurifrons), and (C) hill-zone macaque (M. s. opisthomelas) (image courtesy: Madura De Silva).
Data for 'Thermal regimes of groundwater- and lake-fed headwater streams differ in their response to climate variability'
<p>This dataset contains seasonal and annual mean spot stream temperatures for the six groundwater-fed and seven lake-fed streams at the Turkey Lakes Watershed. We have also included seasonal and annual scale hydroclimatic variables (air temperature, solar radiation, discharge, precipitation, ice on/off dates, and April 1st SWE). The Turkey Lakes Watershed is approximately 65 km northwest of Sault Ste. Marie, Ontario, Canada. Manual spot stream temperature measurements were made by field technicians visiting the catchment outlets as part of a routine water quality monitoring program at the TLW. The stream temperature data record extends from 1983 through 2018. The stream temperature record for stream 013 is 1986-2018. Hydroclimatic data is also 1983-2018, with the exception of lake ice data which ended in 2015. See the methods section of the associated publication for more details.</p>
Interspecific differences in thermal tolerance landscape explain aphid community abundance under climate change
<p>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 (<em>Metopolophium dirhodum, Sitobion avenae </em>and<em> Rhopalosiphum padi</em>). 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 <em>M</em>. <em>dirhodum</em> was the most vulnerable to heat but more tolerant to low temperatures than <em>R. padi </em>and<em> S. avenae. R. padi</em> survived better at high temperatures than <em>Sitobion avenae </em>and<em> M. dirhodum</em> but was sensitive to cold. <em>R. padi</em> was estimated to accumulate higher cold injury than the other two species during winter, while <em>M. dirhodum</em> 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 <em>R. padi</em> 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.</p>
Interspecific differences in thermal tolerance landscape explain aphid community abundance under climate change
Open the record for dataset details and reuse information.
Variable species establishment in response to microhabitat indicates different likelihoods of climate-driven range shifts
Open the record for dataset details and reuse information.
Data and Software accompanying "Slope-aspect induced climate differences influence how water is exchanged between the land and atmosphere", submitted to JGR: Biogeosciences August 2020
<p>This is a collection of all of the data files and python notebooks used in creating the manuscript "Slope-aspect induced climate differences influence how water is exchanged between the land and atmosphere", submitted to JGR: Biogeosciences August 2020. </p>
Climate response to vegetation removal on different continents
<p>Data generated in this study are archived here.</p>
Identifying climate impacts from different stratospheric aerosol injection strategies in UKESM1
<p>Data to plot figures in Identifying climate impacts from different stratospheric aerosol injection strategies in UKESM1 - Wells et al., 2023</p>
Phylogeny and climate explain contrasting hydraulic traits in different life forms of 150 woody Fabaceae species
<ol> <li>The contrasting hydraulic traits observed among different plant life forms are shaped by entangled environmental and evolutionary processes. However, we lack an understanding of the relative importance of life form, climate and phylogeny in explaining the variance of hydraulic traits.</li> <li>We analyzed seven hydraulic traits and eleven climatic variables of 150 Fabaceae species representing three life forms from 62 sites worldwide, using phylogenetic comparative analyses and variance partitioning.</li> <li>The phylogenetic signal found in most traits disappeared after considering life form, indicating that phylogenetic conservatism in traits originated from the divergence among life forms. The trait-climate relationships were also phylogenetically dependent, implying that trait responses are driven by climate and phylogeny together. Variance partitioning showed that phylogeny and climate explained greater trait variation than life form did.</li> <li> <em>Synthesis. </em>The climate-driven hydraulic trait responses in Fabaceae still existed with phylogeny being considered, suggesting that this large family may be particularly sensitive to climate change.<em> </em>Our results emphasize the need to include phylogeny in plant hydraulic adaptation studies under future climate change.</li> </ol>
Data assimilation products by using multiple climate model simulations and different combinations of proxies
<p>This dataset of the climate reconstruction by data assimilation using isotope ratios provides annual surface air temperature, precipitation amount, and other climate variables during 850–2000.</p> <p>Two isotopes-incorporated atmospheric general circulation models and 129 isotopic proxy data (65 corals, 43 ice cores, and 21 tree-ring cellulose) were used in this study. There are nine experiments using three type of simulations and three combinations of proxies.</p> <p>The associated publication: Shoji, S., Okazaki, A., & Yoshimura, K. (2020). Impact of proxies and prior estimates on data assimilation using isotope ratios for the climate reconstruction of the last millennium. (submitted to Earth and Space Science)</p> <p>[Data structure]<br> X(lon) x Y(lat) x Z(2) x Variables(8) x Year(1151)<br> Z(1): analyses<br> Z(2): priors</p>
Resilience of seagrass populations to thermal stress does not reflect regional differences in ocean climate
<p>1. The prevalence of local adaptation and phenotypic plasticity among populations is critical to accurately predicting when and where climate change impacts will occur. Currently, comparisons of thermal performance between populations are untested for most marine species or overlooked by models predicting the thermal sensitivity of species to extirpation.</p> <p>2. Here we compared the ecological response and recovery of seagrass populations (<i>Posidonia oceanica</i>) to thermal stress throughout a year-long translocation experiment across a 2800 km gradient in ocean climate. Transplants in central and warm-edge locations experienced temperatures >29 ºC, representing thermal anomalies >5ºC above long-term maxima for cool-edge populations, 1.5ºC for central and <1ºC for warm-edge populations.</p> <p>3. Cool, central and warm-edge populations differed in thermal performance when grown under common conditions, but patterns contrasted with expectations based on thermal geography. Cool-edge populations did not differ from warm-edge populations under common conditions and performed significantly better than central populations in growth and survival.</p> <p>4. Our findings reveal that thermal performance does not necessarily reflect the thermal geography of a species. We demonstrate that warm-edge populations can be less sensitive to thermal stress than cooler, central populations suggesting that Mediterranean seagrasses have greater resilience to warming than current paradigms suggest.</p>
NIOO-QingZ/Geertruidenberg_Mesocosms: Towards climate-robust water quality management: testing the efficacy of different eutrophication control measures during a heat
<p>Data and Codes used in the following open-access publication: </p> <p>https://www.sciencedirect.com/science/article/pii/S0048969722015145</p>
Figure 3 in Forest yield prediction under different climate change scenarios using data intelligent models in Pakistan
Figure 3. Location map of the study area.
Investigating similarities and differences of the penultimate and last glacial terminations with a coupled ice sheet - climate model
<p>This archive provides the iLOVECLIM-GRISLI outputs as part of the manuscript "Investigating similarities and differences of the penultimate and last glacial terminations with a coupled ice sheet - climate model". Contact: aurelien.quiquet@lsce.ipsl.fr</p>
Figure 2 in Forest yield prediction under different climate change scenarios using data intelligent models in Pakistan
Figure 2. Schematic view of Kernel Ridge Regression (KRR) model.
Figure 1 in Forest yield prediction under different climate change scenarios using data intelligent models in Pakistan
Figure 1. High-resolution flow chart of the Random Forest (RF) model.
Videos for "Weather and climate forecasting with neural networks: using GCMs with different complexity as study-ground"
<p>Supplementary videos for the paper "Weather and climate forecasting with neural networks: using GCMs with different complexity as study-ground" by S. Scher and G. Messori, Geoscientific Model Development 2019</p>
Laboratory modeling of gap-leaping and intruding western boundary currents under different climate change scenarios
<p>Western boundary currents (WBCs), such as, the Kuroshio and the Gulf Stream, are very intense currents flowing along the western boundaries of the oceans.<br>WBCs -and their respective extensions- have an important effect on climate because of their huge heat transports, the corresponding air–sea interactions and the role they play in sustaining the global conveyor belt. It is therefore very relevant to analyze WBC dynamics not only through observations and numerical modelling, but also by means of laboratory experiments; to this respect several rotating tank experiments have been performed in recent years.<br>The new laboratory experiments proposed here for the Hydralab+ 19GAPWEBS project are aimed at analyzing the interactions of a WBC with gaps located along the western coast. Examples of such processes include the Gulf Stream leaping from the Yucatan to Florida and the Kuroshio leaping, and partly penetrating, through the South and East China Seas and through the wider gap separating Taiwan to Japan. In the experiments the WBC is produced by a horizontally unsheared current flowing over a topographic beta slope; along the western lateral boundary a sequence of gaps of different widths simulate the openings present in the above mentioned locations.</p>
Different schemes that are most commonly used for the evaluation and benchmarking of climate models.
<p>Different schemes that are most commonly used for the evaluation and benchmarking of climate models. Most of the schemes can be applied to different realms (e.g. atmosphere, ocean, land...), and each scheme can include more than one diagnostic or metric. Scheme 1 only includes the portrait plot as metric which is very versatile in its application across different domains, analysed variables and number of included observations or time periods. Scheme 2 represents all diagnostics that are based on analyses of biases and variabilities. Scheme 3 includes all diagnostics that focus on spatial analyses, e.g. spatial correlations or physical connections between neighboring regions/realms. Scheme 4 includes any budget assessments. These diagnostics are commonly applied globally, but can also be applied regionally if boundary conditions and fluxes across boundaries are clearly defined. Scheme 5 represents all other statistical approaches for model evaluation, e.g. the analyses of distributions. Scheme 6 finally includes all diagnostics that aim for describing Earth System and its interconnections and changes as a whole, e.g. emergent constraints or equilibrium climate sensitivity (ECS).</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.