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373 results for “wet forests”
Litterfall in tabonuco (subtropical wet) forest in the Luquillo Experimental Forest, Puerto Rico (MRCE Litterfall data)
Treatments common to both sites are quarterly fertilization (macro- and micronutrients) and unmanipulated. At El Verde, a third set of plots was subject to a one time removal of litter and woody debris generated by Hurricane Hugo (September 1989). Support for this work was provided by grants BSR-8811902, DEB-9411973, DEB-9705814 , DEB-0080538, DEB-0218039 , DEB-0620910 , DEB-1239764, DEB-1546686, and DEB-1831952 from the National Science Foundation to the University of Puerto Rico as part of the Luquillo Long-Term Ecological Research Program. Additional support provided by the University of Puerto Rico and the International Institute of Tropical Forestry, USDA Forest Service.
Canopy opening increased leaf shredding arthropods and nutrient mineralization but not mass loss in a wet tropical forest
Canopy opening increased leaf shredding arthropods and nutrient mineralization but not mass loss in a wet tropical forest Support for this work was provided by grants BSR-8811902, DEB-9411973, DEB-9705814 , DEB-0080538, DEB-0218039 , DEB-0620910 , DEB-1239764, DEB-1546686, and DEB-1831952 from the National Science Foundation to the University of Puerto Rico as part of the Luquillo Long-Term Ecological Research Program. Additional support provided by the University of Puerto Rico and the International Institute of Tropical Forestry, USDA Forest Service.
Figure 3 in A new genus of millipedes (Diplopoda: Polydesmida: Dalodesmidae) from wet forests in southern Victoria, with brief remarks on the Victorian Polydesmida
Figure 3. Victoriombrus acanthus sp. nov., male, paratype. Anterior (left) and mesal (right) views of right gonopod (specimen from NMV K-8849). Dashed line indicates course of prostatic groove; for clarity, the continuation of the groove to the solenomere tip is not indicated.
Figure 2 in A new genus of millipedes (Diplopoda: Polydesmida: Dalodesmidae) from wet forests in southern Victoria, with brief remarks on the Victorian Polydesmida
Figure 2. Victoriombrus acanthus sp. nov., male, paratype. Posterior view of gonopods in situ (specimen from NMV K-8849). Scale bar = 0.5 mm.
Figure 1. Victoriombrus spp. details. A, V in A new genus of millipedes (Diplopoda: Polydesmida: Dalodesmidae) from wet forests in southern Victoria, with brief remarks on the Victorian Polydesmida
Figure 1. Victoriombrus spp. details. A, V. acanthus sp. nov., male paratype from NMV K-8849; B, V. seminudus sp. nov., male paratype from NMV K-8856. 1, Antenna; 2, posterior leg on somite 6; 3, posterior leg on somite 12; 4, dorsal outline view of somite 12; 5, posterior outline view of somite 12. Scale bar = 1.0 mm; setation and antennal cones not shown.
Figure 5 in A new genus of millipedes (Diplopoda: Polydesmida: Dalodesmidae) from wet forests in southern Victoria, with brief remarks on the Victorian Polydesmida
Figure 5. Victoriombrus seminudus sp. nov., male, paratype. Anterior (left) and mesal (right) views of right gonopod (specimen from NMV K-8856). Dashed line indicates course of prostatic groove.
Fig. 3 in A new species of endemic day gecko (Reptilia: Gekkonidae: Cnemaspis) from a wet zone forest in the second peneplain of Southern Sri Lanka
Fig. 3. Cnemaspis godagedarai sp. nov. male holotype (NMSL 2019.09.01.NH) in life in situ. (A) Dorsolateral view of the full body displaying color pattern. (B) Lateral view with temporal coloration. Photos: Chen Lee.
Fig. 2 in A new species of endemic day gecko (Reptilia: Gekkonidae: Cnemaspis) from a wet zone forest in the second peneplain of Southern Sri Lanka
Fig. 2. Close-ups of Cnemaspis godagedarai sp. nov. male holotype (NMSL 2019.09.01.NH). (A) Dorsal head; (B) Lateral head; (C) Ventral head; (D) Homogeneous dorsal scales; (E) Scales on lateral surface of trunk; (F) Smooth ventral scales; (G) Cloacal characters with preclocal pores and femoral pores; (H) Subdigital lamellae on manus; (I) Subdigital lamellae on pes; (J) Dorsal scalation of tail; (K) Lateral side of tail; (L) Oval shaped subcaudals. Photos: Suranjan Karunarathna.
Fig. 1 in A new species of endemic day gecko (Reptilia: Gekkonidae: Cnemaspis) from a wet zone forest in the second peneplain of Southern Sri Lanka
Fig. 1. Currently known distribution of Cnemaspis godagedarai sp. nov. (Ensalwatte, star), and related species: C. gemunu (Haggala, circle), C. phillipsi (Gammaduwa, triangle), and C. scalpensis (Gannoruwa, square) in Sri Lanka. Photos: Suranjan Karunarathna.
Fig. 4 in A new species of endemic day gecko (Reptilia: Gekkonidae: Cnemaspis) from a wet zone forest in the second peneplain of Southern Sri Lanka
Fig. 4. General habitat of Cnemaspis godagedarai sp. nov. at Ensalwatte forest, Matara District, Sri Lanka. (A) Complete view of the forest hill. (B) Dense forest with cool and shady habitat. Photos: Suranjan Karunarathna.
Linked collectors and determiners for: Pheidole (Hymenoptera, Formicidae) of Middle American Wet Forest.
Natural history specimen data linked to collectors and determiners held within, "Pheidole (Hymenoptera, Formicidae) of Middle American Wet Forest". Claims or attributions were made on Bionomia by volunteer Scribes, <a href="https://bionomia.net/dataset/ea727a9b-324b-4c6b-a625-bc7cdd204473">https://bionomia.net/dataset/ea727a9b-324b-4c6b-a625-bc7cdd204473</a> using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, <a href="https://gbif.org/dataset/ea727a9b-324b-4c6b-a625-bc7cdd204473">https://gbif.org/dataset/ea727a9b-324b-4c6b-a625-bc7cdd204473</a>. Formatted as a Frictionless Data package.
Data from: Successional shifts in tree demographic strategies in wet and dry Neotropical forests
<p><span>This dataset summarizes demographic rates, abundances and basal area across a succession of ~800 (sub) tropical tree species to explore generalities in demographic trade-offs and successional shifts in demographic strategies across four Neotropical forests that cover a large rainfall gradient. We used repeated forest inventory data from chronosequences in two wet (Costa Rica, Panama) and two dry forests (Yucatán, Oaxaca, both Mexico) to quantify demographic rates of ~800 tree species. For each forest, we explored the main demographic trade-offs and assigned tree species to five demographic groups by performing a weighted Principal Component Analysis (PCA) that accounts for differences in sample size. We aggregated the basal area and abundance across demographic groups to identify successional shifts in demographic strategies over the entire successional gradient from very young (<5 years) to old-growth forests. This dataset provides raw and transformed demographic rates, their weights in the weighted PCA, assignments to demographic groups, and forest inventory data at the species level, as well as the code for performing the weighted PCA.</span></p>
FIGURE 5 in Timing Is Everything: Acoustic Niche Partitioning in Two Tropical Wet Forest Bird Communities
FIGURE 5 | Comparison of observed and expected number of pairs of species with overlapping vocalization frequencies in each location (significance "**"α = 0.01). The null distributions were generated using 500 randomizations of species distribution across locations (keeping species richness per location unchanged).
FIGURE 4 in Timing Is Everything: Acoustic Niche Partitioning in Two Tropical Wet Forest Bird Communities
FIGURE 4 | Comparison of observed and expected number of heterospecific pairs of vocalizations with overlapping vocalization times and frequencies in each location (significance "***"α = 0.001, "**"α = 0.01). The null distributions were generated using 500 randomizations of the beginning of vocalizations (keeping number, length and spectral characteristics unchanged).
FIGURE 3 in Timing Is Everything: Acoustic Niche Partitioning in Two Tropical Wet Forest Bird Communities
FIGURE 3 | Comparison of species vocalization characteristics (A,B), the number of vocalizations per 5-min record (C), and number of species recorded per location (D) between Costa Rica (CR) and Hawai'i (HI) (P-value indicates the significance of Wilcoxon's rank sum test).
FIGURE 2 in Timing Is Everything: Acoustic Niche Partitioning in Two Tropical Wet Forest Bird Communities
FIGURE 2 | List of detected species with their vocalization ranges (left figures) and their locations of occurrence (right figures) in Costa Rica and Hawai'i. On the left figures, gray background represents potential overlapping in a given frequency, the darker the background, the higher the number of species using this frequency.
FIGURE 1 in Timing Is Everything: Acoustic Niche Partitioning in Two Tropical Wet Forest Bird Communities
FIGURE 1 | Species accumulation curves (mean of 500 iterations) for each of six recording locations in Costa Rica and Hawai'i.
Data from: Successional shifts in tree demographic strategies in wet and dry Neotropical forests
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Lianas have more acquisitive traits than trees in a dry but not in a wet forest
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Data: Avian cultural services peak in tropical wet forests
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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.