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955 results for “Subtropical”
Tropical and Subtropical Pacific Sources of the Asymmetric El Niño La Niña Decay and their Future Changes
<p>The model data output supporting the figures shown in the manuscript.</p> <p>For further details, please see</p> <p>Jiepeng Chen, Jin-Yi Yu, Sheng Chen, Xin Wang, Ziniu Xiao, Shih-Wei Fang (2022). Tropical and Subtropical Pacific Sources of the Asymmetric El Niño La Niña Decay and their Future Changes. Accepted at Geophysical Research Letters.</p>
Scale-dependent species-area relationship: niche-based versus stochastic processes in a typical subtropical forest
<p><span>Determining the patterns and drivers of the small-scale species-area relationship (SAR) is crucial for improving our understanding of community assembly and biodiversity patterns. Niche-based and stochastic processes are two principal categories of mechanisms potentially driving SARs. However, their relative importance has rarely been quantified rigorously owing to scale-dependence and the simplified niche volumes often used. </span></p> <p><span>In a fully mapped, 24-ha plot of a typical subtropical forest, we built the SARs and well-defined niche-hyper-volumes of a broad range of environmental variables at scales of 10 - 70 m (cell sizes). We then simulated passive sampling and partitioned the variances of the SAR slopes to disentangle the two contrasting mechanisms.</span></p> <p><span>We found that the small-scale SAR best followed a power-law relationship, consistent with large-scale SARs. The SAR slope declined with increasing scale; it was lower than expected under passive sampling at scales below 30 m and higher at larger scales. Environmental niches explained more (39%-64%) of the slope at larger scales, exceeding 50% at scales > 30 m, and these niches always captured the majority of the structured slopes. Environmental position (environmental mean values) effects were steady in absolute strength across scales and explained most (98%-68%) of the niche effect, but this proportion decreased with increasing scale. The effect of environmental heterogeneity increased with spatial scales, starting to rise at the 30 m scale after controlling for environmental position. Excluding soil properties from analyses strongly reduced these niche effects, highlighting the importance of soils for structuring the small-scale SAR. There was also substantial stochasticity in the SAR slopes, which was only partially explained by passive sampling.</span></p> <p><span>Synthesis: Our results show that the small-scale SAR in the studied subtropical forest follows a power-law, exhibits a scale shift in slope at 30 m, and is strongly shaped by niche effects that are dominated by environmental position relative to heterogeneity. However, soil heterogeneity controls the increase of niche effect and shift in the SAR slope with increasing spatial scales. Hence, edaphic factors can be responsible for scale-dependence in small-scale SARs, thereby linking small-scale and large-scale SARs. </span></p>
Distribution. Tropical and subtropical waters of the Indo-Pacific region extending to 34° Nand 12° S. in Balaenopteridae
Distribution. Tropical and subtropical waters of the Indo-Pacific region extending to 34° Nand 12° S.
Distribution. Endemic to subtropical and tropical waters of the Atlantic Ocean in an area ranging from N USA to Brazil and from Ireland to Guinea-Bissau; its distribution may continue as far S as Uruguay in the W, and possibly as far S as Angola in the E. It is occasionally recorded stranding in temperate waters, but these may represent vagrant individuals. in Ziphiidae
Distribution. Endemic to subtropical and tropical waters of the Atlantic Ocean in an area ranging from N USA to Brazil and from Ireland to Guinea-Bissau; its distribution may continue as far S as Uruguay in the W, and possibly as far S as Angola in the E. It is occasionally recorded stranding in temperate waters, but these may represent vagrant individuals.
On following pages: 29. Black-tailed Antechinus (Antechinus arktos); 30. Fawn Antechinus (Antechinus bellus); 31. Yellow-footed Antechinus (Antechinus flavipes), 32. Atherton Antechinus (Antechinus godmani); 33. Cinnamon Antechinus (Antechinus leo); 34. Swamp Antechinus (Antechinus minimus); 35. Buff-footed Antechinus (Antechinus mysticus); 36. Brown Antechinus (Antechinus stuartil); 37. Subtropical Antechinus (Antechinus subtropicus); 38. Dusky Antechinus (Antechinus swainsonii). in Dasyuridae
On following pages: 29. Black-tailed Antechinus (Antechinus arktos); 30. Fawn Antechinus (Antechinus bellus); 31. Yellow-footed Antechinus (Antechinus flavipes), 32. Atherton Antechinus (Antechinus godmani); 33. Cinnamon Antechinus (Antechinus leo); 34. Swamp Antechinus (Antechinus minimus); 35. Buff-footed Antechinus (Antechinus mysticus); 36. Brown Antechinus (Antechinus stuartil); 37. Subtropical Antechinus (Antechinus subtropicus); 38. Dusky Antechinus (Antechinus swainsonii).
Distribution. Shallow, coastal waters of tropical and subtropical S & E Asia, from the Persian Gulf E to the S East China Sea and S to the Sunda Is. There are no records from Oman and the Philippines, although the species is expected eventually to be found in both locations. in Phocoenidae
Distribution. Shallow, coastal waters of tropical and subtropical S & E Asia, from the Persian Gulf E to the S East China Sea and S to the Sunda Is. There are no records from Oman and the Philippines, although the species is expected eventually to be found in both locations.
Distribution. Cosmopolitan tropical and subtropical distribution between ¢.40° N and ¢.35° S, including the Gulfof Mexico and Arabian Sea. in Delphinidae
Distribution. Cosmopolitan tropical and subtropical distribution between ¢.40° N and ¢.35° S, including the Gulfof Mexico and Arabian Sea.
Distribution. Tropical and subtropical waters of the Atlantic Ocean including the Caribbean and Gulf of Mexico. in Delphinidae
Distribution. Tropical and subtropical waters of the Atlantic Ocean including the Caribbean and Gulf of Mexico.
Distribution. Tropical, subtropical, and warm temperate waters worldwide from ¢.50° N to ¢.40° S, including the Red Sea, but excluding the Mediterranean Sea and Persian Gulf. in Delphinidae
Distribution. Tropical, subtropical, and warm temperate waters worldwide from ¢.50° N to ¢.40° S, including the Red Sea, but excluding the Mediterranean Sea and Persian Gulf.
Distribution. Near-shore waters of tropical and subtropical West Africa, from the Western Sahara to S Angola. in Delphinidae
Distribution. Near-shore waters of tropical and subtropical West Africa, from the Western Sahara to S Angola.
Distribution. Worldwide in tropical and subtropical waters from c.40° N to ¢.35° §, including the Gulf of Mexico, Arabian Sea, Bay of Bengal, South China Sea, and Timor Sea. in Delphinidae
Distribution. Worldwide in tropical and subtropical waters from c.40° N to ¢.35° §, including the Gulf of Mexico, Arabian Sea, Bay of Bengal, South China Sea, and Timor Sea.
Distribution. Tropical and subtropical deep, oceanic waters in all major oceans from c.40° N and c.35° S; scarcely recorded in the Mediterranean Sea. in Delphinidae
Distribution. Tropical and subtropical deep, oceanic waters in all major oceans from c.40° N and c.35° S; scarcely recorded in the Mediterranean Sea.
Leaf traits, plant size and environment data of a common tree species Clausena dunniana in a subtropical broad-leaved forest
<p>This dataset contains the leaf traits, plant size and environment data of 262 individuals of a widespread species <em>Clausena dunniana</em> in the subtropical broad-leaved forests in Maolan National Nature Reserve in the karst region of southwestern China. The 262 individuals of <em>C. dunniana</em> are distributed at two major topographic habitat types, the slope and the hilltop, within the forests of six sites evenly distributed in two regions within the Maolan reserve. The measured individual plant level leaf traits include specific leaf area (SLA), leaf area, leaf dry-matter content (LDMC) and leaf thickness. The plant size represents the first principal component of plant basal diameter and plant height, and the environmental factors include topographic habitat, canopy height, and rock-bareness rate.</p>
FIGURE 3 in Boletellus putuoensis (Boletaceae, Boletales), a new bolete from subtropical China
FIGURE 3. Microscopic features of Boletellus putuoensis (FHMU6907, holotype). a. Basidia. b. Basidiospores. c. Cheilocystidia. d. Pleurocystidia. e. Pileipellis. f. Stipitipellis. Bars=10 μm. Drawings by X. Zhang.
FIGURE 2 in Boletellus putuoensis (Boletaceae, Boletales), a new bolete from subtropical China
FIGURE 2. Basidiomata of Boletellus putuoensis (a, d from FHMU6907, holotype; b–c from FHMU6960). Photos by Y. Li.
FIGURE 5 in Boletellus putuoensis (Boletaceae, Boletales), a new bolete from subtropical China
FIGURE 5. SEM of basidiospores from dried specimens of Boletellus putuoensis (a–c fromFHMU6907, holotype; d from FHMU3261). Bars = 2 μm. Photos by Y. Li.
FIGURE 4 in Boletellus putuoensis (Boletaceae, Boletales), a new bolete from subtropical China
FIGURE 4. Light micrographs of basidiospores from a dried specimen of Boletellus putuoensis (FHMU6907, holotype). Bars = 20 μm. Photos by J. Ma.
FIGURE 1. Phylogram inferred from a in Boletellus putuoensis (Boletaceae, Boletales), a new bolete from subtropical China
FIGURE 1. Phylogram inferred from a combined dataset (28S, TEF1, and RPB2) using RAxML. RAxML likelihood bootstrap (BS ≥ 50 %) and Bayesian posterior probabilities (PP ≥ 0.95) are indicated above or below the branches as RAxML BS/PP. The new species is in bold.
Input data and model output for study about wind changes and impact on the Subtropical Front
<p>This dataset contains:</p> <p>Model data for the CONTROL simulation (CONTROL.gz)</p> <p>Model data for the SHIFT simulation (SHIFT.gz) where the westerly winds have been shifted by 1degree per decade</p> <p>Model data for the INCREASE simulation (INCREASE.gz) where the westerly winds have been incresaed by 1 percent per decade</p> <p>Reference dataset are provided (Argo.gz and Modiz.gz)</p>
FIGURES 9–10 in A warmth-loving brother of northern siblings: the first subtropical species of Forinus Kurbatov discovered on Okinawa-jima Japan (Coleoptera, Staphylinidae, Pselaphinae)
FIGURES 9–10. Forinus mirus sp. n., male. Metacoxal region in ventral view (9); distal region of left middle leg in dorsal view (10). Abbreviations: cxp, coxal process; msp, median sternal process; sIII‒IV, sternite III‒IV; v3, metaventrite.
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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.