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295 results for “tropical dry forest”
FIGURE 3 in Stigmaphyllon caatingicola (Malpighiaceae), a new species from Seasonally Dry Tropical Forests in Brazil
FIGURE 3. Map of the distribution of Stigmaphyllon caatingicola (circles) and Stigmaphyllon urenifolium (squares).
FIGURE 1 in Stigmaphyllon caatingicola (Malpighiaceae), a new species from Seasonally Dry Tropical Forests in Brazil
FIGURE 1. Stigmaphyllon caatingicola: A. adaxial leaf surface, B. detail of inflorescence, C. detail of flower, D. samaroid mericarp from S. urenifolium (left) and S. caatingicola (right, scale 1 cm), E. detail of stem surface, F. habitat within SDTF in anthropomorphically modified Caatinga (white arrow shows a tree with S. caatingicola climbing) (R.F.Almeida 577, holotype).
Figure 2 in Anurans of a seasonally dry tropical forest: Morro do Diabo State Park, São Paulo state, Brazil
Figure 2. Historical rainfall distribution and minimum and maximum mean monthly temperatures recorded from 1977 to 2002 in Morro do Diabo State Park, São Paulo state, Brazil. Source: Faria (2006).
Figure 3 in Anurans of a seasonally dry tropical forest: Morro do Diabo State Park, São Paulo state, Brazil
Figure 3. Cumulative curve of species and richness estimators of anurans recorded in Morro do Diabo State Park, São Paulo state, Brazil, from September 2005 to March 2007 based on sampling at breeding sites. The dots show the mean cumulative curve, generated by 500 randomized additions of samples, and the vertical bars indicate possible variation around the medium curve (confidence interval of 95%).
Figure 1 in Anurans of a seasonally dry tropical forest: Morro do Diabo State Park, São Paulo state, Brazil
Figure 1. Phytogeographic units of Brazil, pointing out the state of São Paulo, and showing the location of Morro do Diabo State Park (MDSP).
Figure 5 in Anurans of a seasonally dry tropical forest: Morro do Diabo State Park, São Paulo state, Brazil
Figure 5. Dispersion diagram of the similarity matrix in the composition of the anuran assemblage (Coefficient of Geographic Resemblance; CGR) with the geographic distance matrix among the localities. p is the significance level to Mantel's test (r), using 5000 Monte Carlo permutations.
Figure 4 in Anurans of a seasonally dry tropical forest: Morro do Diabo State Park, São Paulo state, Brazil
Figure 4. Similarity (Coefficient of Geographic Resemblance; CGR) in the taxonomic composition of the Morro do Diabo State Park anuran assemblage with other areas of different phytogeographic units in the country. r represents the Cophenetic Correlation Coefficient. The abbreviations are defined in Table 1.
Fire alters diversity, composition and structure of dry tropical forests in the Eastern Ghats
<p>Fire is known to have dramatic consequences on forest ecosystems around the world, and on the livelihoods of forest-dependent people. While the Eastern Ghats of India have high abundances of fire-prone dry tropical forests, little is known about how fire influences the diversity, composition and structure of these communities. Our study aims to fill this knowledge gap by examining the effects of presence and absence of recent fire on tropical dry forest communities within Kadiri watershed, Eastern Ghats. We sampled plots with and without evidence of recent fire in the Eswaramala Reserve Forest in 2008 and 2018. Our results indicate that even though stem density increases in the recently burned areas, species richness is lower because communities become dominated by a few species with fire resistance and tolerance traits, such as thick bark and clonal sprouting. Further, in the presence of fire, the size structure of these fire-tolerant species shifts towards smaller-sized, resprouting individuals. Our results demonstrate that conservation actions are needed to prevent further degradation of forests in this region and the ecosystem services they provide.</p>
FIGURE 3 in An updated checklist of bryophytes for the state of Paraíba, a Brazilian hotspot: new records and biological spectrum in a Seasonally Dry Tropical Forest fragment
FIGURE 3. Representation of life forms in terms of bryophyte species richness in thee studied seasonally dry tropical forest fragment in the Northeast Region of Brazil.
FIGURE 2 in An updated checklist of bryophytes for the state of Paraíba, a Brazilian hotspot: new records and biological spectrum in a Seasonally Dry Tropical Forest fragment
FIGURE 2. Results for the Weighted Pair-Group Method with Arithmetic mean (WPGMA) based on the Sørensen similarity index for all species at sites listed by Germano et al. (2016) and the studied seasonally dry tropical forest fragment (SDTF). Cophenetic Correlation Coefficient (CCC) = 0.83. The areas are named following Germano et al. (2016) with P = point/sampled area.
FIGURE 3. Cladophialophora bromeliacearum URM 8085 in Cladophialophora bromeliacearum (Herpotrichiellaceae, Chaetothyriales), a novel endophytic species from the Brazilian tropical dry forest
FIGURE 3. Cladophialophora bromeliacearum URM 8085 (ex-type living culture). a. Colony on PDA in the top and MEA after 30 days at 27 °C. b–c. Conidiophores and conidiogenous cells. d–e. Conidiophores, conidiogenous cells and conidia. f. Details of a conidiogenous cell and conidia. g. Chlamydospore. Scale bars: 10 µm.
FIGURE 2 in Cladophialophora bromeliacearum (Herpotrichiellaceae, Chaetothyriales), a novel endophytic species from the Brazilian tropical dry forest
FIGURE 2. Maximum likelihood (ML) trees obtained using an independent matrix of ITS and LSU rDNA sequences of Cladophialophora species. The new species is in bold face. ML bootstrap (ML-BS) values from 70% are shown near nodes. The tree was rooted to Phialophora reptans CBS 113.85. The bar represents expected number of substitutions per site. The superscripts T, ET, and LT indicate ex-type, ex-epitype and ex-lectotype strains, respectively.
FIGURE 1 in Cladophialophora bromeliacearum (Herpotrichiellaceae, Chaetothyriales), a novel endophytic species from the Brazilian tropical dry forest
FIGURE 1. Bayesian inference (BI) tree obtained using a combined matrix of ITS and LSU rDNA sequences of Cladophialophora species. The new species is in bold face. BI posterior probability (BPP) and ML bootstrap (ML-BS) from 0.95 and 70%, respectively, are shown near nodes. The tree was rooted to Phialophora reptans CBS 113.85. The bar represents expected number of substitutions per site. The superscripts T, ET, and LT indicate ex-type, ex-epitype and ex-lectotype strains, respectively.
Figure 4. Similarity profile CqN for q in Diversity of orb-weaving spiders (Arachnida: Araneae) from tropical dry forest in Northern Colombia, with eleven new records for the country
Figure 4. Similarity profile CqN for q = 0, q = 1 and q = 2 among forests. The bars correspond to 95% confidence intervals.
Figure 3. Diversity profile for q between 0 and 2 in Diversity of orb-weaving spiders (Arachnida: Araneae) from tropical dry forest in Northern Colombia, with eleven new records for the country
Figure 3. Diversity profile for q between 0 and 2 of the forests studied. The shaded areas correspond to 95% confidence intervals.
Figure 1 in Diversity of orb-weaving spiders (Arachnida: Araneae) from tropical dry forest in Northern Colombia, with eleven new records for the country
Figure 1. Study area showing the locations of tropical dry forest fragments in the Department of Sucre, Colombia.
Figure 4 in Use of remote cameras to evaluate ocelot (Leopardus pardalis) population parameters in seasonal tropical dry forests of central-western Mexico
Figure 4: Relationship between estimated ocelot density and precipitation in tropical rain forests (TRF) and tropical seasonal ecosystems (TSE). Ocelot density in tropical rain forest was the closest to show a significant increase with annual precipitation (R2 = 0.2463, p = 0.071).
Figure 3 in Use of remote cameras to evaluate ocelot (Leopardus pardalis) population parameters in seasonal tropical dry forests of central-western Mexico
Figure 3: Estimated ocelot density in tropical rainforest sites (TRF) and tropical seasonal ecosystems (TSE). Thick horizontal lines correspond to median values. The upper and lower extremes of the boxes correspond to the first and third quartiles, whiskers correspond to 1.5 times the interquartile range of the data and empty circles are outliers.
Figure 2 in Use of remote cameras to evaluate ocelot (Leopardus pardalis) population parameters in seasonal tropical dry forests of central-western Mexico
Figure 2: Examples of markings employed for individual recognition of ocelots. (A) and (B) Photographic recapture of same individual in the locality of El Naranjal. (C) and (D) Different individuals recorded in the locality of Playa del Venado. The oval indicates an example of a set of unique spot and stripes patterns employed for individual identification.
FIGURES 16–19 in First records of Pieza Evenhuis, 2002 (Diptera: Mythicomyiidae: Mythicomyiinae) from Colombia, with description of a new species from arid zones of a Tropical dry forest
FIGURES 16–19. Pieza rafaeli Mendes, Lamas, Evenhuis & Limeira-de-Oliveira, 2019. (LEUA-55202). Female. 16, Habitus, left lateral view; 17, Head, frontal view; 18, Thorax, dorsal view; 19, Abdomen, dorsal view.
ScienceDex guides
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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
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Annotated Behaviour and Observability Dataset (ABODe)
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DANDI Archive for NWB datasets
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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.