Find research datasets worth reusing

FIGURE 8 in Revision of the Remaneicaris argentina - group (Copepoda, Harpacticoida, Parastenocarididae): supplementary description of species, and description of the first semi-terrestrial Remaneicaris from the tropical forest of Southeast Mexico

FIGURE 8. Remaneicaris siankaan sp. nov. male. A, habitus, lateral view; B, habitus, dorsal view; C, P5; D, telson and furca, dorso-lateral view Scale bars A, B= 100 µm, C, D=50µm.

FIGURE 11 in Revision of the Remaneicaris argentina - group (Copepoda, Harpacticoida, Parastenocarididae): supplementary description of species, and description of the first semi-terrestrial Remaneicaris from the tropical forest of Southeast Mexico

FIGURE 11. Remaneicaris siankaan sp. nov. female. A, P5 and Ur-1, genital double somite; B, telson and furca, dorsal view; C, A1; D, A2. Scale bars = 50µm.

FIGURE 16 in Revision of the Remaneicaris argentina - group (Copepoda, Harpacticoida, Parastenocarididae): supplementary description of species, and description of the first semi-terrestrial Remaneicaris from the tropical forest of Southeast Mexico

FIGURE 16. Geographical distribution of Remaneicaris, yellow circles represent records of the R. argentina-group.

FIGURE 7 in Revision of the Remaneicaris argentina - group (Copepoda, Harpacticoida, Parastenocarididae): supplementary description of species, and description of the first semi-terrestrial Remaneicaris from the tropical forest of Southeast Mexico

FIGURE 7. Remaneicaris drepanephora (Kiefer, 1967), female. A, habitus schematic, lateral view; B) telson, and furca, lateral view; C, P3; D) enp, P3; E, P5 and Urs-1, genital double somite; F, telson and furca, lateral view; G, telson and furca, ventral view. Scale bar= 50µm.

opencc-by-4.0Aug 2024View details →

Data analysis scripts for Marsh et al. 2024 'Tropical forest clearance impacts biodiversity and function whereas logging changes structure'

<p>Data analysis scripts for the manuscript <strong>Marsh<em> </em>et<em> </em>al. 2024 'Tropical forest clearance impacts biodiversity and function whereas logging changes structure'</strong></p> <p><strong>Update for Version 2:</strong> The calculation of confidence intervals around the mean effects in Figure 2 has been updated to use the <code>marginaleffects</code> package (many thanks to Biao Wang and Shuang Zhang for pointing out an error in the original code). Using the Satterthwaite method for determining degrees of freedom, the updated confidence intervals are around 32% smaller than our original estimates (MLF = 32.0%, HLF = 32.1%, OP = 21.6%). Note, this change is only relevant to fig. 2 and figs. S2-4; the mean effect sizes and trends along the disturbance gradient, all statistical comparisons, and the constrast analyses in fig. 3 remain unaffected. The updated figures S2-4 and Table S6 can be seen in the file 'Updated figures S2-4 with recalculated confidence intervals.pdf'.</p> <p>In the zip file 'BALI_synthesis_analysis.zip' there are outputs from RMarkdown scripts that include all steps of the analysis for each dataset, including R code, incorporating data visualisation, exploration and standardisation, model building and evaluation, and visualisation of results. Fig. 2b can be regenerated using code in the zip file 'Marsh_etal_2024_Science_fig1b_chm_and_canopy_profiles-main.zip'.</p> <p>Each dataset presented in the manuscript has an html file within the folder 'Analyses'. For datasets involving bat, bird, dung beetle and tree traits additional markdown documents are available for steps take during data preparation in the folder 'Data preparation'.</p> <p>In the zip file 'BALI_synthesis_data.zip' are .rds data files that have been cleaned, prepared and z-score standardised following the procedures outlined in the respective markdown files.</p> <p>To repeat any given analysis, follow the respective rmarkdown document, excluding the data manipulation steps:</p> <ol> <li>Read in the data file as described above: dd <- readRDS(paste0("path/to/rds/file/", "name_of_file.rds"))</li> <li>Run the code at the top of the markdown workflow (sections "Data information" and "Load in necessary libraries")</li> <li>Do not run the sections "Read in data" through to "Visual inspection of the data"</li> <li>Continue the analysis from the 'Modelling' section</li> </ol> <div> <h3> </h3> <h3>Level 1 - Structure & Environment</h3> </div> <table> <tbody> <tr> <th>Dataset</th> <th>Label</th> <th>Filename</th> <th>Collector</th> </tr> </tbody> <tbody> <tr> <td>Above-ground carbon</td> <td>Above ground carbon</td> <td>Above_ground_carbon</td> <td>Terhi Riutta</td> </tr> <tr> <td>Leaf-area index</td> <td>Leaf-area index</td> <td>Leaf_area_index</td> <td>Terhi Riutta</td> </tr> <tr> <td>Soil temperature</td> <td>Soil temp.</td> <td>Soil_temperature</td> <td>Terhi Riutta</td> </tr> <tr> <td>Soil moisture</td> <td>Soil moisture</td> <td>Soil_moisture</td> <td>Dafydd Elias</td> </tr> <tr> <td>Air temperature: Minimum</td> <td>Air temp.: Min.</td> <td>Air_temperature_minimum</td> <td>Benjamin Blonder</td> </tr> <tr> <td>Air temperature: Mean</td> <td>Air temp.: Mean</td> <td>Air_temperature_mean</td> <td>Benjamin Blonder</td> </tr> <tr> <td>Air temperature: Maximum</td> <td>Air temp.: Max.</td> <td>Air_temperature_maximum</td> <td>Benjamin Blonder</td> </tr> <tr> <td>Soil bulk density</td> <td>Soil bulk density</td> <td>Soil_bulk_density</td> <td>Dafydd Elias</td> </tr> <tr> <td>Soil horizon depth</td> <td>Soil horizon depth</td> <td>Soil_horizon_depth</td> <td>Dafydd Elias</td> </tr> <tr> <td>Soil pH</td> <td>Soil pH</td> <td>Soil_pH</td> <td>Dafydd Elias</td> </tr> <tr> <td>Soil nutrients: Carbon</td> <td>Soil nutrients (C)</td> <td>Soil_nutrients_C</td> <td>Dafydd Elias</td> </tr> <tr> <td>Soil nutrients: Nitrogen</td> <td>Soil nutrients (N)</td> <td>Soil_nutrients_N</td> <td>Dafydd Elias</td> </tr> <tr> <td>Soil nutrients: Inorganic Phosporous</td> <td>Soil nutrients (Inorganic P)</td> <td>Soil_nutrients_Inorganic_P</td> <td>Dafydd Elias</td> </tr> <tr> <td>Soil nutrients: Carbon:Phosphorous</td> <td>Soil nutrients (C:P)</td> <td>Soil_nutrients_C_P</td> <td>Dafydd Elias</td> </tr> <tr> <td>Soil nutrients: Carbon:Nitrogen</td> <td>Soil nutrients (C:N)</td> <td>Soil_nutrients_C_N</td> <td>Dafydd Elias</td> </tr> </tbody> </table> <div> <h3> </h3> <h3>Level 2 - Tree traits</h3> </div> <p>All tree traits were collected as part of the following study (details in this table have been extracted from table S1 of that publication): S. Both, T. Riutta, C.E.T. Paine, D.M.O. Elias, R.S. Cruz, A. Jain, D. Johnson, U.H. Kritzler, M. Kuntz, N. Majalap-Lee, N. Mielke, M.X. Montoya Pillco, N.J. Ostle, Y. Arn Teh, Y. Malhi, D.F.R.P. Burslem (2019) Logging and soil nutrients independently explain plant trait expression in tropical forests. New Phytologist. 221:4, 1853–1865.</p> <p> </p> <p><em><strong>Photosynthesis Traits</strong></em></p> <table> <tbody> <tr> <th>Dataset</th> <th>Label</th> <th>Filename</th> </tr> </tbody> <tbody> <tr> <td>Aggregated photosynthesis traits</td> <td>Photosyn. traits</td> <td>Photosynthesis traits</td> </tr> <tr> <td>δ<sup>13</sup>C</td> <td>δ<sup>13</sup>C</td> <td>Traits_13C</td> </tr> <tr> <td>Light-saturated photosynthetic rate</td> <td>Photosyn. rate: A<sub>sat</sub></td> <td>Traits_Asat</td> </tr> <tr> <td>Maximum photosynthetic rate</td> <td>Photosyn. rate: A<sub>max</sub></td> <td>Traits_Amax</td> </tr> <tr> <td>Maximum photosynthetic rate: Nitrogen concentration</td> <td>Max. photosyn. rate: N(%)</td> <td>Traits_N_conc</td> </tr> <tr> <td>Maximum photosynthetic rate: Phosphorous mass (area)</td> <td>Max. photosyn. rate: P(mass)</td> <td>Traits_Phos_area</td> </tr> <tr> <td>Dark respiration (Rd)</td> <td>Dark respiration</td> <td>Traits_Dark_resp</td> </tr> <tr> <td>Specific leaf area (SLA)</td> <td>Specific leaf area</td> <td>Traits_SLA</td> </tr> <tr> <td>Carotenoids (area)</td> <td>Carotenoids: Area</td> <td>Traits_Carot_area</td> </tr> <tr> <td>Carotenoids (mass)</td> <td>Carotenoids: Mass</td> <td>Traits_Carot_mass</td> </tr> <tr> <td>Chlorophyll a (area)</td> <td>Chlorophyll a: Area</td> <td>Traits_Chl_a_area</td> </tr> <tr> <td>Chlorophyll a (mass)</td> <td>Chlorophyll a: Mass</td> <td>Traits_Chl_a_mass</td> </tr> <tr> <td>Chlorophyll b (area)</td> <td>Chlorophyll b: Area</td> <td>Traits_Chl_b_area</td> </tr> <tr> <td>Chlorophyll b (mass)</td> <td>Chlorophyll b: Mass</td> <td>Traits_Chl_b_mass</td> </tr> </tbody> </table> <p> </p> <p><em><strong>Nutrient Traits</strong></em></p> <table> <tbody> <tr> <th>Dataset</th> <th>Label</th> <th>Filename</th> </tr> </tbody> <tbody> <tr> <td>Aggregated nutrient traits</td> <td>Nutrient traits</td> <td>Nutrient_traits</td> </tr> <tr> <td>δ<sup>15</sup>N</td> <td>δ<sup>15</sup>N</td> <td>Traits_15N</td> </tr> <tr> <td>Carbon concentration</td> <td>Carbon conc.</td> <td>Traits_Carbon_conc</td> </tr> <tr> <td>Nitrogen concentration</td> <td>Max. photosyn. rate: N(%)</td> <td>Traits_N_perc</td> </tr> <tr> <td>Phosphorous concentration</td> <td>Max. photosyn. rate: P(mass)</td> <td>Traits_Phos_mass</td> </tr> <tr> <td>Magnesium concentration</td> <td>Regulat. nutrients: Total Mg</td> <td>Traits_Total_Mg</td> </tr> <tr> <td>Potassium concentration</td> <td>Regulat. nutrients: Total K</td> <td>Traits_Total_K</td> </tr> <tr> <td>Calcium concentration</td> <td>Regulat. nutrients: Total Ca</td> <td>Traits_Total_Ca</td> </tr> </tbody> </table> <p> </p> <p><em><strong>Structural Traits</strong></em></p> <table> <tbody> <tr> <th>Dataset</th> <th>Label</th> <th>Filename</th> </tr> </tbody> <tbody> <tr> <td>Aggregated structural traits</td> <td>Structural traits</td> <td>Structural_traits</td> </tr> <tr> <td>Branch specific density</td> <td>Branch wood density</td> <td>Traits_Branch_WD</td> </tr> <tr> <td>Leaf cellulose concentration</td> <td>Leaf fibre conc.: Cellul.</td> <td>Traits_Cellulose</td> </tr> <tr> <td>Leaf lignin concentration</td> <td>Leaf fibre conc.: Lignin</td> <td>Traits_Lignin</td> </tr> <tr> <td>Leaf hemicellulose concentration</td> <td>Leaf fibre conc.: Hemicel.</td> <td>Traits_Hemicellulose</td> </tr> <tr> <td>Leaf area</td> <td>Leaf size: Area</td> <td>Traits_Leaf_area</td> </tr> <tr> <td>Leaf dry weight</td> <td>Leaf size: Dry wgt</td> <td>Traits_Dry_weight</td> </tr> <tr> <td>Leaf force to punch</td> <td>Leaf strength: Tough.</td> <td>Traits_Leaf_toughness</td> </tr> <tr> <td>Leaf thickness</td> <td>Leaf strength: Thick.</td> <td>Traits_Leaf_thickness</td> </tr> <tr> <td>Leaf dry matter content</td> <td>Leaf strength: Dry mat.</td> <td>Traits_LDMC</td> </tr> <tr> <td>Total phenol concentration</td> <td>Leaf defence: Phenol</td> <td>Traits_Phenol</td> </tr> <tr> <td>Total tannin concentration</td> <td>Leaf defenct: Tannin</td> <td>Traits_Tannin</td> </tr> </tbody> </table> <div> <h3> </h3> <h3>Level 3 - Biodiversity</h3> </div> <table> <tbody> <tr> <th>Dataset</th> <th>Label</th> <th>Filename</th> <th>Collector</th> </tr> </tbody> <tbody> <tr> <td>Soil bacterial richness</td> <td>Soil microbial richness: Bacteria</td> <td>Soil_richness_Bacteria</td> <td>Dafydd Elias</td> </tr> <tr> <td>Soil protist richness</td> <td>Soil microbial richness: Protists</td> <td>Soil_richness_Protist</td> <td>Dafydd Elias</td> </tr> <tr> <td>Soil ectomycorrhizal richness</td> <td>Soil fungal richness: Ectomycorrhiza</td> <td>Soil_richness_Ectomycorrhiza</td> <td>Dafydd Elias</td> </tr> <tr> <td>Soil fungal richness</td> <td>Soil fungal richness: Fungi</td> <td>Soil_richness_Fungi</td> <td>Dafydd Elias</td> </tr> <tr> <td>Soil arbuscular mycorrhizal richness</td> <td>Soil fungal richness: Arbuscular mycorrhiza</td> <td>Soil_richness_Arbuscular_mycorrhizal</td> <td>Dafydd Elias</td> </tr> <tr> <td>Leaf spectral diversity</td> <td>Spectral diversity</td> <td>Spectral_diversity</td> <td>Matheus Nunes</td> </tr> <tr> <td>Liana abundance</td> <td>Liana abundance</td> <td>Liana_abundance</td> <td>Boris Bongalov</td> </tr> <tr> <td>Dung beetle abundance</td> <td>Dung beetle abund.</td> <td>Dung_beetle_abundance</td> <td>Eleanor Slade</td> </tr> <tr> <td>Dung beetle diversity: richness</td> <td>Dung beetle diversity: q=0</td> <td>Dung_beetle_diversity_q=0</td> <td>Eleanor Slade</td> </tr> <tr> <td>Dung beetle diversity: Shannon diversity</td> <td>Dung beetle diversity: q=1</td> <td>Dung_beetle_diversity_q=1</td> <td>Eleanor Slade</td> </tr> <tr> <td>Dung beetle diversity: Simpson diversity</td> <td>Dung beetle diversity: q=2</td> <td>Dung_beetle_diversity_q=2</td> <td>Eleanor Slade</td> </tr> <tr> <td>Bird abundance</td> <td>Bird abund.</td> <td>Bird_abundance</td> <td>Simon Mitchell</td> </tr> <tr> <td>Bird diversity: richness</td> <td>Bird diversity: q=0</td> <td>Bird_diversity_q=0</td> <td>Simon Mitchell</td> </tr> <tr> <td>Bird diversity: Shannon diversity</td> <td>Bird diversity: q=1</td> <td>Bird_diversity_q=1</td> <td>Simon Mitchell</td> </tr> <tr> <td>Bird diversity: Simpsons diversity</td> <td>Bird diversity: q=2</td> <td>Bird_diversity_q=2</td> <td>Simon Mitchell</td> </tr> <tr> <td>Bat abundance</td> <td>Bat abund.</td> <td>Bat_abundance</td> <td>David Hemprich-Bennett</td> </tr> <tr> <td>Bat diversity (small scale)</td> <td>Bat diversity (sm scale)</td> <td>Bat_diversity_small_scale</td> <td>David Hemprich-Bennett</td> </tr> <tr> <td>Bat diversity (large scale): richness</td> <td>Bat diversity (lg scale): q=0</td> <td>Bat_diversity_large_scale_q=0</td> <td>David Hemprich-Bennett</td> </tr> <tr> <td>Bat diversity (large scale): Shannon diversity</td> <td>Bat diversity (lg scale): q=1</td> <td>Bat_diversity_large_scale_q=1</td> <td>David Hemprich-Bennett</td> </tr> <tr> <td>Bat diversity (large scale): Simpson diversity</td> <td>Bat diversity (lg scale): q=2</td> <td>Bat_diversity_large_scale_q=2</td> <td>David Hemprich-Bennett</td> </tr> <tr> <td>Bat β-diversity: Nestedness</td> <td>Bat β-diversity: Nested.</td> <td>Bat_beta_diversity_Nestedness</td> <td>David Hemprich-Bennett</td> </tr> <tr> <td>Bat β-diversity: Turnover</td> <td>Bat β-diversity: Turn.</td> <td>Bat_beta_diversity_Turnover</td> <td>David Hemprich-Bennett</td> </tr> <tr> <td>Bat β-diversity: Total</td> <td>Bat β-diversity: Total</td> <td>Bat_beta_diversity_Total</td> <td>David Hemprich-Bennett</td> </tr> </tbody> </table> <div> <h3> </h3> <h3>Level 4 - Functioning</h3> </div> <table> <tbody> <tr> <th>Dataset</th> <th>Label</th> <th>Filename</th> <th>Collector</th> </tr> </tbody> <tbody> <tr> <td>Soil respiration</td> <td>Respiration: Soil</td> <td>Soil_respiration</td> <td>Terhi Riutta</td> </tr> <tr> <td>Stem respiration</td> <td>Respiration: Stem</td> <td>Stem_respiration</td> <td>Terhi Riutta</td> </tr> <tr> <td>Net primary productivity</td> <td>NPP</td> <td>NPP</td> <td>Terhi Riutta</td> </tr> <tr> <td>Litterfall</td> <td>Litterfall</td> <td>Litterfall</td> <td>Terhi Riutta</td> </tr> <tr> <td>Leaf litter decomposition</td> <td>Litter decomposition</td> <td>Litter_decomposition</td> <td>Sabine Both</td> </tr> <tr> <td>Soil mycelial production</td> <td>Mycelial production</td> <td>Hyphal_length</td> <td>Samuel Robinson</td> </tr> <tr> <td>Dung removal</td> <td>Dung removal</td> <td>Dung_removal</td> <td>Eleanor Slade</td> </tr> </tbody> </table> <p> </p> <h2>Funding</h2> <p>Analyses were carried out, and data were collected, as part of the BALI (Biodiversity And Land-use Impacts on tropical ecosystem function) and LOMBOK (Land-use Options for Maintaining BiOdiversity & eKosystem functions) projects using the following funding:</p> <ul> <li>NERC Human-modified Tropical Forests Programme (NE/K016377/1, NE/K016261/1, NE/K016148/1, NE/K016407/1);</li> <li>NERC grant (NE/I028068/1);</li> <li>British Ecological Society Small Ecological Project Grant (No.: 3256/4035);</li> <li>Varley-Gradwell Travelling Fellowship in Insect Ecology;</li> <li>Bat Conservation International Student Research Scholarship;</li> <li>NOMIS Foundation;</li> <li>ERC European Union's Horizon 2020 research and innovation programme (grant agreement No 865403);</li> <li>ERC Advanced Investigator Grant, GEM-TRAIT (321131);</li> <li>The SAFE Project is funded by the Sime Darby Foundation.</li> </ul>

opennotspecifiedDec 2002View details →

Fig. 1 in The Cerambycid Fauna Of The Tropical Dry Forest Of ''El Aguacero,'' Chiapas, México (Coleoptera: Cerambycidae)

Fig. 1. Number of species and individuals of Cerambycidae collected monthly in ''El Aguacero,'' Chiapas, México. Diamonds, number of species obtained during the year of regular sampling; circles, number of species obtained during the year of regular sampling and miscellaneous collections; squares, number of individuals obtained during the year of regular sampling.

opennotspecifiedDec 2002View details →

Fig. 2 in The Cerambycid Fauna Of The Tropical Dry Forest Of ''El Aguacero,'' Chiapas, México (Coleoptera: Cerambycidae)

Fig. 2. Observed and estimated richness of the cerambycid fauna of ''El Aguacero,'' Chiapas, México. Squares, richness observed; diamonds richness estimated using ICE. The values used were only the data obtained during the year of regular sampling.

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Coastal dry tropical forests in Florida and the Caribbean in peril: A review

<p>Coastal dry tropical forests (CDTFs) are important yet vulnerable ecosystems. In this paper, we highlight the special conservation issues facing CDTFs by focusing on one variant of the type, those that occupy limestone substrate in the northeastern Caribbean. Our analysis draws largely from the coastal terrestrial broadleaf forests of the northern Bahamas, the Florida Keys, and southwestern Puerto Rico. Based on surveys of storm surges recorded during major hurricanes during the last 50 years, we define CDTFs as coastal terrestrial broadleaf forests on ground surfaces elevated up to 5 m above sea level and occurring within 5 km of the coast. These forests are not only threatened by land-use change from urbanization but also climate-driven sea level rise (SLR) and hurricanes, which have degraded them and reduced their extent. CDTFs are distinguished from other dry tropical forests by the occasional influence of marine water incursion during periodic storms, requiring species common to these forests to have some level of salt tolerance despite experiencing well-drained, freshwater conditions during most of their life span. With precipitation being the sole freshwater source for most coastal dry tropical forests, SLR and the resulting salinization in the rooting zone subject these forests to increasingly stressful conditions. Hence, even a modest rise in sea level can push numerous imperiled and endangered species and coastal terrestrial broadleaf communities to the edge of their tolerance, causing a decline in extent or their complete disappearance. Outside of protected areas, rapid urbanization has fragmented these forests and reduced their extent, which in turn has modified the interaction between rising seas and forest function. This work emphasizes the need for refined risk assessments to be completed and for conservation measures to be enforced so that resources can be directed appropriately to prevent further loss of coastal dry tropical forests.</p>

opencc-zeroNov 2023View details →

opennotspecifiedOct 2023View details →

FIGURE 2 in Lonchocarpus verticillatus (Leguminosae-Papilionoideae): A new species from Seasonally Dry Tropical Forest in Colombia

FIGURE 2. Lankester Composite Digital Plate (LCDP) Lonchocarpus verticillatus. A. Terminal branch with the arrangement of leaves and infructescence. B. Shapes and sizes of leaflets. C. Pre-anthesis flowers. D. Flower at anthesis (lateral view). E. Standard petal in frontal view; wing petal and keel petal in lateral view. F. Calyx, staminal tube, and gynoecium. G. Fruits. A, G based on C. Rivera et al 1370; B–F based on W. Ariza-C. et al. 9523. Photographs by Cristiam Rivera.

opennotspecifiedOct 2023View details →

FIGURE 1 in Lonchocarpus verticillatus (Leguminosae-Papilionoideae): A new species from Seasonally Dry Tropical Forest in Colombia

FIGURE 1. Illustration of Lonchocarpus verticillatus A. Terminal branch with the arrangement of leaves and inflorescence. B. Branch showing the whorled arrangement of the leaves. C. Lenticels on branches. D. Detail of the venation in the intercostal space in abaxial view. E. Detail of pseudoracemose inflorescence with a pair of pedicellate flowers at the end of a short peduncle or brachyblast which form a "Y". F. Ventral view of flower at anthesis. G. Dorsal view of flower. H. Lateral view of flower with standard petal reflexed. I. Detail of bracteoles in the subapical segment of the pedicel. J. Calyx open adaxial surface. K. Standard. L. keel petals partially attached. M. wings. N. Staminal tube with callosities at the base (left) and tube open view inner surface (right). O. Anthers dorsal (left) and ventral (right) views. P. Gynoecium with stigma detail, Q. Infructescence. R. Fruits. A–P based on C. Rivera et al 1370; Q–R based on W. Ariza-C. et al. 9523. Illustration by Omar Bernal.

opennotspecifiedOct 2023View details →

FIGURE 3 in Lonchocarpus verticillatus (Leguminosae-Papilionoideae): A new species from Seasonally Dry Tropical Forest in Colombia

FIGURE 3. Habitat and vegetative morphology of Lonchocarpus verticillatus A. Habitat in the Cauca River Canyon. B. Isolated tree in a pasture. C. Branch with whorled leaves and discolorous leaflets. D. Node of the branch and stipules (red arrows). E. Lenticellate trunk and yellowish inner bark. Photographs A–E: William Ariza.

FIGURE 5 in Magnolia unicarmensis (Magnolia subsect. Dugandiodendron; Magnoliaceae): a new species from tropical montane forests of Antioquia, Colombia

FIGURE 5. Comparison of leaves in four species of Magnolia subsection Dugandiodendron from Antioquia, Colombia. A. Adaxial B. Abaxial. The outer bigger leaf is from M. yarumalensis (cultivated in La Ceja, Antioquia). Inner leaves: bigger top right M. guatapensis (from type locality), medium size to the left M. coronata (from type locality), and smaller to the left down M. unicarmensis (from type locality). Notice the size differences between species, the presence of prefoliation marks on the lamina of M. guatapensis and M. coronata, as well as the difference in abaxial coloration and pubescence type. Photos by A.F. Montoya-López.

FIGURE 4. Magnolia unicarmensis. A. Leaf. B. Twig. C in Magnolia unicarmensis (Magnolia subsect. Dugandiodendron; Magnoliaceae): a new species from tropical montane forests of Antioquia, Colombia

FIGURE 4. Magnolia unicarmensis. A. Leaf. B. Twig. C. Leaves and stipules in the treetop. D and E. Fruit. Photos by A.F. MontoyaLópez.

FIGURE 2 in Magnolia unicarmensis (Magnolia subsect. Dugandiodendron; Magnoliaceae): a new species from tropical montane forests of Antioquia, Colombia

FIGURE 2. Habitat of Magnolia unicarmensis in Antioquia, Colombia. A and B view to vereda La Honda (Carmen de Viboral). B. M. unicarmensis with flower. Photos by A.F. Montoya-López.

FIGURE 3. Magnolia unicarmensis. A and B. Flower bud and stipules. C in Magnolia unicarmensis (Magnolia subsect. Dugandiodendron; Magnoliaceae): a new species from tropical montane forests of Antioquia, Colombia

FIGURE 3. Magnolia unicarmensis. A and B. Flower bud and stipules. C. Flower in early female phase. D, E and F. Flower after male phase, stamens falling. Photos by A.F. Montoya-López.

opencc-by-4.0Apr 2024View details →

Post-drought community turnover and functional redundancy in a tropical forest understorey

<p>Drought events are increasingly frequent, threatening the biodiversity of tropical forests. The understorey comprises a large fraction of the total plant species richness of these systems with the presence of Individual plants of some highly diverse Angiosperm families are patchily organized in the understorey of these communities. Here we quantified the effects of a drought on abundance and functional structures and on the ecosystem functioning of these patches Rubiaceae assemblages along a topographic gradient. We show that swarms of species can maintain biological diversity and stability in ecosystem functioning under drought in the understorey of a tropical forest. (Published in Journal Vegetation Science; Funded by Fundação de Amparo à Pesquisa e Inovação do Espírito Santo, FAPES).</p> <p>If you have any query, write to: karinnasantos0@gmail.com</p>

opencc-by-4.0Jun 2024View details →

Asian elephants are associated with a more robust mammalian community in tropical forests

Open the record for dataset details and reuse information.

dryad32/100

Castela senticosa (Simaroubaceae: Sapindales), a new species from the Caribbean clade endemic to seasonally dry tropical forest on Hispaniola

<p>Recent fieldwork in the Sierra Martín García in southwestern Dominican Republic has yielded a new species of the American clade <i>Castela</i> (Simaroubaceae), <b><i>Castela senticosa</i></b> sp. nov., from seasonally dry tropical forest. This species has been collected from two separate localities, including Môle St. Nicolas in northwestern Haiti in 1929, but until now fertile material with both flowers and fruit was unknown. We provide a photographic plate and illustration, place it phylogenetically using plastome data, and compare it morphologically with close relatives. This increases the number of known species of <i>Castela</i> on Hispaniola from one to two, both of which are endemic but from different clades, and yields another species for the Greater Antilles, a known biodiversity hotspot and clear center of diversification for this group of arid-adapted, thorny shrubs. This work emphasizes that seasonally dry tropical forest, although often understudied, house as yet undiscovered biodiversity and deserve far more comprehensive studies.</p>

opencc-zeroNov 2021View details →

opennotspecifiedJan 2009View details →

Subspecies and Distribution. P. g. gymnocercus Fischer, 1814 — subtropical grasslands of NE Argentina, SE Brazil, Paraguay, and Uruguay. Pg. antiquus Ameghino, 1889 — Pampas grasslands, monte scrublands, and open woodlands of C Argentina. P. g. lordi Massoia, 1982 — Chaco-montane tropical forest ecotone in NW Argentina (Salta & Jujuy Provinces). The subspecific status of the Pampas Fox from Entre Rios Province in Argentina remains unclear, and there are no data regarding the taxonomic position of Bolivian foxes. in Canidae

Subspecies and Distribution. P. g. gymnocercus Fischer, 1814 — subtropical grasslands of NE Argentina, SE Brazil, Paraguay, and Uruguay. Pg. antiquus Ameghino, 1889 — Pampas grasslands, monte scrublands, and open woodlands of C Argentina. P. g. lordi Massoia, 1982 — Chaco-montane tropical forest ecotone in NW Argentina (Salta & Jujuy Provinces). The subspecific status of the Pampas Fox from Entre Rios Province in Argentina remains unclear, and there are no data regarding the taxonomic position of Bolivian foxes.