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198 results for “Range change”
Ecosystem responses to changes in climate and carbon dioxide in twelve mature ecosystems ranging from prairie to forest and from the arctic to the tropics
We use the Multiple Element Limitation (MEL) model to examine the responses of twelve ecosystems - from the arctic to the tropics and from grasslands to forests - to elevated carbon dioxide (CO2), warming, and 20% decreases or increases in annual precipitation. The ecosystems we simulated include moist acidic tundra, shrub tundra, and wet sedge tundra near Toolik Lake, Alaska, alpine dry meadow tundra near Niwot Ridge, Colorado, restored tallgrass prairie near Kellogg Biological Station, Michigan, native tallgrass prairie at the Konza Prairie, Kansas, upland and lowland boreal forest near Bonanza Creek, Alaska, temperate coniferous forest in HJ Andrews Experimental Forest, Oregon, a northern hardwood forest in Hubbard Brook Experimental Forest, New Hampshire, a transition oak-maple forest in Harvard Forest, Massachusetts, and lowland tropical rainforest near Caxiuanã National Forest, Pará, Brazil. For each of the twelve sites, we run six 100-year simulations beginning from the calibrated steady state (72 simulations total). The six simulations are: (1) increasing CO2 from 400 to 800 μmol mol-1, (2) warming from current temperatures to current plus 3.5oC, (3) decreasing precipitation from 100% to 80% of the current annual rate, (4) increasing precipitation from 100% to 120% of the current annual rate, (5) doubling of CO2, 3.5oC warming, and 20% decrease in precipitation, and (6) doubling of CO2, 3.5oC warming, and 20% increase in precipitation. This dataset consists of the MEL model Windows executable, the driver and parameter file for each site, and the output files for each of the six simulations listed above.
Data used in the article: "Climate change impacts the vertical structure of marine ecosystem thermal ranges"
<p>This dataset is used in the manuscript "Climate change impacts the vertical structure of marine ecosystem thermal ranges" accepted in Nature Climate Change 2022.</p>
Raw MS data for "Ligand-specific changes in conformational flexibility mediate long-range allostery in the lac repressor"
<p>These are the raw HDX/MS data for our paper: "Ligand-specific changes in conformational flexibility mediate long-range allostery in the lac repressor."</p>
Latitudinal core habitat prediction data for the manuscript: "Seascape topography slows predicted range shifts in fish under climate change"
<p>Latitudinal locations of core environmental habitat for yellowtail kingfish (<em>Seriola lalandi</em>), Australian bonito (<em>Sarda australis</em>), Australian spotted mackerel (<em>Scomberomorus munroi</em>), narrow-barred Spanish mackerel (<em>Scomberomorus commerson</em>) and common dolphinfish (<em>Coryphaena hippurus</em>) nearshore of the continental shelf break (i.e. 200-m isobath) within 145 – 160°E, 15 – 45°S and between years 1998 – 2018.</p>
Fig. 3 in Distribution Range Extensions of Parapercis bicoloripes and P. diplospilus (Perciformes: Pinguipedidae) in the South China Sea and the Adjacent Waters, with Notes on Ontogenetic Changes in P. bicoloripes
Fig. 3. Ontogenetic changes in relationship of snout length (circles) and fleshy orbit diameter (triangles) as percentage of standard length to standard length (mm) in Parapercis bicoloripes.
Fig. 2 in Distribution Range Extensions of Parapercis bicoloripes and P. diplospilus (Perciformes: Pinguipedidae) in the South China Sea and the Adjacent Waters, with Notes on Ontogenetic Changes in P. bicoloripes
Fig. 2. Distribution of Parapercis bicoloripes (triangles) and P. diplospilus (circles). Closed and open symbols indicate previously known and new records, respectively.
Fig. 1 in Distribution Range Extensions of Parapercis bicoloripes and P. diplospilus (Perciformes: Pinguipedidae) in the South China Sea and the Adjacent Waters, with Notes on Ontogenetic Changes in P. bicoloripes
Fig. 1. Fresh specimens of Parapercis bicoloripes from Malaysia (A–B) and the Philippines (C). A, KAUM–I. 79754, 136.0 mm SL, off Kuala Terengganu; B, KAUM–I. 16935, 120.4 mm SL, off Kuala Terengganu; C, KAUM–I. 69435, 66.1 mm SL, off Miagao, Iloilo, Panay Island.
What weather variables are important for wet and slab avalanches under a changing climate in low altitude mountain range in Czechia?
<p>datasets and scripts for Avalanche paper figures and<br> avalanche path characteristics: Avalanche_paths_souckova.xlsx<br> </p>
Dataset: Global range dynamics of the Bearded Vulture (Gypaetus barbatus) from the Last Glacial Maxima to climate change scenarios
<p>This dataset consists of Bearded Vulture <em>Gypaetus barbatus </em>occurrence points which were used to develop a distribution model to study its suitable habitat of this species. Using these data, we modelled the current distribution of Bearded Vulture throughout its entire range and projected the Last Glacial Maxima (LGM), Mid-Holocene (MH) and future distribution under 2070s climate change scenarios. We compiled these data from the entire distribution range in Asia, Europe and Africa using different sources: freely accessible online resources including, eBird and GBIF repositories, published reports and grey literature and occurrence data collected by the authors in the field, mostly in Nepal.</p> <p> </p> <p> </p>
Figure 5 in The range dynamics of a cactophilic Drosophila species under climate change scenarios
Figure 5. Last Interglacial, Last Glacial Maximum, Present (1960–1990), and the Future (2050 and 2070) predictions of the potential distribution of two cacti species (C. hildmannianus and P. machrisii) based on 10% thresholding approaches. The abbreviations are defined as follows: LGM-Last Glacial Maximum, LIG-Last Interglacial.
Figure 2 in The range dynamics of a cactophilic Drosophila species under climate change scenarios
Figure 2. Occurrence points used for ecological niche modeling are shown in red. Squares equal approximately 2 decimal degrees and the background image on thmap shows the elevational structure of Brazil.
Figure 1 in The range dynamics of a cactophilic Drosophila species under climate change scenarios
Figure 1. Approximate distribution of D. gouveai (green area) showed Caatinga and Cerrado domains and the localities sampled for the species (based on Moraes et al., 2009), descriptive statistics (n, number of individuals; H, the number of haplotype; H d, haplotype diversity; pi, nucleotide diversity) and median joining network of 48 individuals of D. gouveai. All statistics based on nucleotide sequences were adopted from Moraes et al. (2009). MIR: Pirapotanga; FOR: Morro do Forno; FUR: Furnas; CEU: Vale do Céu; CRI: Cristalina; FER: Fercal; PIR: Pirenópolis; SER: Serrinha; IBO: Ibotirama; BAX: Baxio.
Figure 4 in The range dynamics of a cactophilic Drosophila species under climate change scenarios
Figure 4. Last Interglacial, Last Glacial Maximum, Present (1960–1990), and the Future (2050 and 2070) predictions of the potential distribution of D. gouveai based on two thresholding approaches. Arrows shows very limited potential distribution of D. gouveai in 2050 and 2070. The abbreviations are defined as follows: LGM-Last Glacial Maximum, LIG-Last Interglacial. Additionally, specific climate models include LGM-cc (Community Climate System Model), LGM-me (MPI-ESM-P, General Circulation Models), and LGM-mr (Model for Interdisciplinary Research on Climate, Earth System version 2 for Long-term simulations).
Figure 3 in The range dynamics of a cactophilic Drosophila species under climate change scenarios
Figure 3. Isolation-by-distance of populations of D. gouveai based on mtDNA. Linear regression lines were drawn for all comparisons among populations (full line), and for populations not included MIR (dotted line).
Fig. 9 in Changes in the range of Pterostichus melas and P. fornicatus (Coleoptera, Carabidae) on the basis of climatic modeling
Fig. 9. The area of distribution of P. melas for 2050 at annual increment of the temperature measuring 0.03–0.05 ºC: for keys see Fig. 8
Fig. 4 in Changes in the range of Pterostichus melas and P. fornicatus (Coleoptera, Carabidae) on the basis of climatic modeling
Fig. 4. Presumed range of P. fornicatus in 2050 at mean increase in average temperature to 2100 equaling 2.4 ºC: for keys see Fig. 2
Fig. 5 in Changes in the range of Pterostichus melas and P. fornicatus (Coleoptera, Carabidae) on the basis of climatic modeling
Fig. 5. Predicted range of P. fornicatus in 2070 at mean increment of 2.4 ºC to 2100: for keys see Fig. 2 ASK BRIG
Fig. 10 in Changes in the range of Pterostichus melas and P. fornicatus (Coleoptera, Carabidae) on the basis of climatic modeling
Fig. 10. Area of the distribution of P. melas in 2070 at annual increment of the temperature equaling 0.03–0.05 ºC: for keys see Fig. 8
Fig. 1 in Changes in the range of Pterostichus melas and P. fornicatus (Coleoptera, Carabidae) on the basis of climatic modeling
Fig. 1. Analysis of the accuracy of the model of probable distribution: a – omission and Predicted Area for P. fornicatus: 1 – test data, 2 – training data, 3 – fraction of the initial data presented, 4 – predicted emission; b – trend of the operating curve AUC: 1 – test data, 2 – training data, 3 – random prediction
Fig. 8 in Changes in the range of Pterostichus melas and P. fornicatus (Coleoptera, Carabidae) on the basis of climatic modeling
Fig. 8. Area of distribution of Pterostichus melas:in red the most suitable zones for living are indicated (80–100%), orange – 50–80%, yellow – 20–50%, green – less than 10%, dark blue – 0%
ScienceDex guides
Understand access before you commit
These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
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.