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45 results for “tropical rain forests”
Long-term dynamics of tropical rain forests in permanent inventory plots, La Selva, Costa Rica (1969-1995)
Three permanent plots comprising a total of 12.4 ha were established in 1969 in tropical rain forest at La Selva Biological Station, near Puerto Viejo de Sarapiquí, in the Caribbean lowlands of Costa Rica. The plots were established in old-growth forest on three contrasting landforms: Plot 1 (4.4 ha) on old alluvial terrace; Plot 2 (4.0 ha) in swamp forest and rolling hills; and Plot 3 (4.0 ha) on steeply dissected terrain with residual soils. The data archived here include plot inventories carried out at five census dates over a period of 27 years. The inventory starting dates were 1969; 1982; 1985; 1989; and 1995. All stems 10 cm dbh or greater were tagged with a permanent numbered tag; measured in diameter at breast height and above buttresses to the nearest mm; mapped on the ground to the nearest m; and identified to species. At each census, live trees were re-measured, dead trees were recorded along with information on the manner of death, other details on the condition of the tree were noted, and new recruits were tagged, mapped, measured, and identified. The archived data include these five components: (1) The master data file, including comprehensive data on all tagged individuals in the three plots for the five censuses from 1969-1995. Each line in the data set represents an individual tagged tree or liana. The data array comprises 8689 lines (the number of tagged individuals) x 48 columns of data. The lines in the data set are ordered first by Plot number (1, 2, 3); next by subplot within each plot; and then by tag number within each subplot. (2) A list of column identifiers, describing in detail the information represented in each of the 48 columns within the master data file. The list gives a description of the data in each column, the units of measurement, and a guide to the interpretation of zeroes in the data. (3) A key to codes used in the field to describe the condition of individual trees. (4) A taxonomic reference list, including all species found
Seedling composition, growth, and dynamics in tropical rain forest, La Selva, Costa Rica (1983-1996)
Recruitment, growth, and survivorship of the regeneration stages of trees and lianas were studied in old-growth tropical rain forest at La Selva Biological Station of the Organization for Tropical Studies (OTS), near Puerto Viejo de Sarapiquí, Heredia Province, in the Caribbean lowlands of Costa Rica. A total of 48 permanent seedling transects each measuring 10 m x 0.5 m were established at random locations within three La Selva permanent forest inventory plots. The forest plots occupy contrasting landforms: Plot 1 (4.4 ha), old alluvial terrace; Plot 2 (4.0 ha), swamp forest and low hills; and Plot 3 (4.0 ha), steeply dissected terrain with residual volcanic soils. Seedling locations are georeferenced within the grid system of the permanent forest inventory plots, facilitating spatial analysis of seedling populations with respect to adult cohorts. Beginning in June 1983, all seedlings ≤ 0.5 m in height belonging to tree and liana species capable of reaching 10 cm diameter at breast height (dbh) at maturity were tagged, identified to species or morphospecies, mapped to the nearest cm, and measured in height to the nearest cm. Over a period of 18 months, a total of 6403 seedlings belonging to 167 species were tagged. Monitoring and re-measurement of all tagged individuals continued through November 1996. Data include 17 census dates over a period of 13.5 years. At the time of the final census, only 97 individuals (1.52% of the tagged seedlings) were still alive, representing 43 species (25.7% of the initial number). The largest surviving seedling had grown in height from 4 cm to 13 meters during the study period. This dataset on the regeneration stages in old-growth tropical rain forest in the La Selva permanent inventory plots forms a complement to the studies of long-term growth and demography of these species and assemblages at adult stages within the plots. Forest inventory data for trees and lianas ≥ 10 cm dbh in the permanent plots in which the seedling transec
Variation in the Composition of Understory Vegetation in a Tropical Rain Forest as a Function of Soil and Topographic Position. 1986 - 1990
Understory plants are a major contribution to the high plant species diversity of Neotropical rain forests. Shrubs, understory trees, saplings of overstory trees, and herbs occupy a habitat of generally low light levels and high humidity in which there seem to be few obvious mechanisms to support habitat partitioning. Moreover several plant families are characterized by a high number of co-occurring understory species. In 1987-1989 we sampled understory vegetation in 18 sites at the La Selva Biological Station of the Organization for Tropical Studies in Heredia Province, Costa Rica. At each site we used 20 nested quadrats to investigate the effects of soil type on replicated sites of mapped alluvial and residual volcanic soils (5 map units) and topographic positions (ridges, midslopes and flats) on composition, density and diversity of small (1m tall to 5cm dbh, 25 m2 quadrat) and large(5-10cm dbh, 100 m2 quadrat) understory plants. We also measured fine litter dry mass, extractable P, total organic matter, percent slope and percent incident light radiation in each quadrat.
Figs. 2–5. Brazilian tropical rain forest. 2 in Classification, Natural History, And Evolution Of The Epiphloeinae (Coleoptera: Cleridae). Part Ii. The Genera Chaetophloeus Opitz And Plocamocera Spinola
Figs. 2–5. Brazilian tropical rain forest. 2. Malaise trap in Rondonia, Wilbur J. Hanson's method of collecting Cleridae, November 1995. 3. The author collecting specimens of Epiphloeinae, environs of Manaus, January 1981. 4, 5. Excellent habitat for collecting Cleridae, environs of Manaus, January 1981.
Fig. 31. Tropical lowland evergreen rain forest along the Sungai Sadaunta, 700 m in A Systematic Review Of Sulawesi Bunomys (Muridae, Murinae) With The Description Of Two New Species
Fig. 31. Tropical lowland evergreen rain forest along the Sungai Sadaunta, 700 m (in 1976). Examples of Bunomys chrysocomus were caught amid the rocks in the foreground, deep within the forest, and occasionally on trunks and branches spanning the stream. Similar dense streamside forest and bridging trunks and limbs from old treefalls characterize much of the habitat along the Sungai Sadaunta where B. chrysocomus as well as B. karokophilus, n. sp., were encountered (see Natural History in account of B. chrysocomus).
Fig. 29. Tropical lowland evergreen rain forest along the Sungai Sadaunta, 750–850 m in A Systematic Review Of Sulawesi Bunomys (Muridae, Murinae) With The Description Of Two New Species
Fig. 29. Tropical lowland evergreen rain forest along the Sungai Sadaunta, 750–850 m (in 1974). Typical forest composition on terraces just above the stream: dense undergrowth of shrubs and tree saplings, woody vines looping through the understory. Beneath the dense cover, the ground is wet, the air cool. Most Bunomys chrysocomus were trapped in this kind of stream terrace habitat, either on the ground beneath the shrubs, alongside decomposing, moss-covered trunks and limbs lying on the terrace, or among moss-covered rocks. Bunomys karokophilus, n. sp., was encountered in similar habitat.
Data from: Plant Community Structure in Tropical Rain Forest Fragments of the Western Ghats, India
<p><strong>DESCRIPTION</strong></p><p>This dataset includes vegetation plot data on trees, lianas, understorey plants, and regeneration, and related data and species name matching files in five rainforest sites collected in 2003 as part of the following study:</p><p>MUTHURAMKUMAR, S., AYYAPPAN, N., PARTHASARATHY, N., MUDAPPA, D., RAMAN, T. R. S., SELWYN, M. A. & PRAGASAN, L. A. 2006. <a href="http://doi.org/10.1111/j.1744-7429.2006.00118.x">Plant community structure in tropical rain forest fragments of the Western Ghats, India</a>. <i>Biotropica</i> 38: 143–160. DOI: 10.1111/j.1744-7429.2006.00118.x</p><p>The regeneration data were analysed and presented in the following publication and related dataset:</p><p>OSURI, A. M., CHAKRAVARTHY, D., MUDAPPA, D., RAMAN, T. R. S., AYYAPPAN, N., MUTHURAMKUMAR, S. & PARTHASARATHY, N. 2017. Successional status, seed dispersal mode and overstorey species influence tree regeneration in tropical rain-forest fragments in Western Ghats, India. <i>Journal of Tropical Ecology</i> 33(4): 270-284. DOI: <a href="http://doi.org/10.1017/S0266467417000219">10.1017/S0266467417000219</a></p><p>OSURI, A. M., CHAKRAVARTHY, D., MUDAPPA, D., RAMAN, T. R. S., AYYAPPAN, N., MUTHURAMKUMAR, S. & PARTHASARATHY, N. 2017. <a href="http://doi.org/10.5061/dryad.vd0nn">Data from: Successional status, seed dispersal mode and overstorey species influence tree regeneration in tropical rain-forest fragments in Western Ghats, India</a>, Dryad, Dataset, https://doi.org/10.5061/dryad.vd0nn</p><p><br><strong>CONTACTS</strong></p><p>CONTACT #1<br>1. Name: <a href="https://orcid.org/0000-0002-1347-3953">T. R. Shankar Raman</a><br>2. Work Address: Nature Conservation Foundation, 1311, 12th A Main, Vijayanagar 1st Stage, Mysuru 570017, Karnataka, India<br>3. Work Phone: +91 821 2515601<br>4. Email address: trsr@ncf-india.org<br>5. ORCID: https://orcid.org/0000-0002-1347-3953</p><p>CONTACT #2<br>1. Name: <a href="https://orcid.org/0000-0001-9708-4826">Divya Mudappa</a><br>2. Work Address: Nature Conservation Foundation, 1311, 12th A Main, Vijayanagar 1st Stage, Mysuru 570017, Karnataka, India<br>3. Work Phone: +91 821 2515601<br>4. Email address: divya@ncf-india.org<br>5. ORCID: https://orcid.org/0000-0001-9708-4826</p><p>CONTACT #3<br>1. Name: <a href="https://orcid.org/0000-0001-9909-5633">Anand M. Osuri</a><br>2. Work Address: Nature Conservation Foundation, 1311, 12th A Main, Vijayanagar 1st Stage, Mysuru 570017, Karnataka, India<br>3. Work Phone: +91 821 2515601<br>4. Email address: aosuri@ncf-india.org<br>5. ORCID: https://orcid.org/0000-0001-9909-5633</p><p>CONTACT #4<br>1. Name: <a href="https://orcid.org/0000-0003-4383-557X">N. Ayyappan</a><br>2. Work Address: French Institute of Pondicherry, No. 11, Post Box No. 33, Saint Louis Street, Pondicherry – 605 001, India.<br>3. Work Phone: + 91- 413-2231616<br>4. Email address: ayyappan.n@ifpindia.org<br>5. ORCID: https://orcid.org/0000-0003-4383-557X</p><p>CONTACT #5<br>1. Name: <a href="https://orcid.org/0000-0002-7791-8499">S. Muthuramkumar</a><br>2. Work Address: V.H.N.S.N. College, 3/151-1, College Road, Virudhunagar - 626001, Tamil Nadu, India.<br>3. Work Phone: + 91-4562-280154<br>4. Email address: muthuramkumar@vhnsnc.edu.in<br>5. ORCID: https://orcid.org/0000-0002-7791-8499</p><p>CONTACT #6<br>1. Name: <a href="https://orcid.org/0000-0002-4172-5441">N. Parthasarathy</a><br>2. Work Address: Department of Ecology and Environmental Sciences, Pondicherry University, R Venkat Raman Nagar, Kalapet, Pondicherry 605014, India<br>3. Work Phone: + 91-413-2654326<br>4. Email address: parthapu@yahoo.com<br>5. ORCID: https://orcid.org/0000-0002-4172-5441</p><p><br><strong>KEYWORDS</strong></p><p>Anamalai hills; biodiversity hotspot; disturbance; endemics; fragmentation; lianas; plant conservation; tree diversity; tropical rain forest; understory plants.</p><p><br><strong>GEOGRAPHIC COVERAGE</strong></p><p>1. Location/Study Area: Valparai Plateau, Tamil Nadu, India; Anamalai Tiger Reserve, Tamil Nadu, India</p><p>2. GPS coordinates: Valparai Plateau (10°15'- 10°22'N, 76°52' - 76°59'E); Anamalai Tiger Reserve (10°12' - 10°35'N, 76°49' - 77°24'E)</p><p><br><strong>TEMPORAL COVERAGE</strong></p><p>1. Begins: 2003-03-01 (Year, Month, Day)<br>2. Ends: 2003-04-30 (Year, Month, Day)</p><p><br><strong>METHODS</strong></p><p>Methods involved systematic vegetation plots for trees, lianans and understorey plants as described in Muthuramkumar et al. 2006 (<i>Biotropica</i> 38: 143–160. DOI: 10.1111/j.1744-7429.2006.00118.x) and for tree and woody regeneration as described in Osuri et al. 2017 (<i>Journal of Tropical Ecology</i> 33(4): 270-284. DOI: 10.1017/S0266467417000219). The vegetation sampling methods are briefly described below.</p><p>The present study was conducted in five tropical wet evergreen forest fragments located on the Valparai plateau (Fig. 1): Akkamalai (AK, 2600 ha), Upper Manamboli (UM, 100 ha), Lower Manamboli (LM, 100 ha), Tata Finlay (TF, 32 ha), and Injipara (IP, 18 ha).</p><p>In each site, vegetation was sampled in randomly placed noncontiguous plots of 20 × 20 m located at least 50 m apart and at least 20 m into the fragment interior from the edges, major trails, or roads. We sampled 20 plots each in IP, TF, and LM, and 25 plots each in UM and AK. Within each plot, all trees ≥30cm girth at breast height (gbh, at 1.3 m; corresponding to DBH of 9.55 cm) and lianas ≥1 cm diameter at breast height (DBH) were identified to species, counted, and their girth/diameter measured. For multi-stemmed trees bole girths were measured separately, basal area calculated and summed. Each 20 x 20 m plot was divided into four 10 × 10 m quarters.</p><p>For understory plants, 2 × 2 m quadrats were laid at the four corners of the 20 × 20 m plot (one in each of the corresponding four quarters) and all shrubs, undershrubs, herbs, ferns, and small twiners found within the quadrats were enumerated and identified. The regeneration sampling was done in a 5 × 5-m plot (0.0025 ha) placed at the outer corner of the first (south-west) quarter of the 20 x 20 m plot. Within each regeneration plot, we identified, counted and measured all tree saplings >1 cm diameter at breast height (dbh, at 1.3 m) and <9.55 cm dbh (equivalent to <30 cm girth at breast height, gbh). Woody shrubs of 1–9.55 cm dbh were alsorecorded in the regeneration plots (but these were excluded in the Osuri et al. 2017 analysis).</p><p>For vegetatively propagating plants a clump of stems that is basally connected was considered as one individual. Canopy height was measured with a range finder and canopy closure was measured using a spherical densiometer. Vouchers were identified with regional flora and confirmed with the Western Ghats collections available in the herbarium of Salim Ali School of Ecology, Pondicherry University, from our previous works in the region.</p><p> </p><p><strong>ACKNOLWEDGEMENTS</strong></p><p>Funders and other supporters of the research are acknowledged in the original publications. The compilation and publication of this dataset was carried out as part of an NCF project supported by Fondation Franklinia.</p><p><br><strong>FILES INCLUDED</strong></p><p>Besides the 00_README.txt file that contains this metadata, the dataset includes the following 11 files, whose details and contents are explained below.</p><p><br><strong>01_all_sites.csv</strong></p><p><i>Description</i>: The file contains details of the five study sites (three continuous forest and two forest fragment sites).<br> <br><i>Note</i>: Current Name of TF (Tata Finlay) site is Old Valparai, current name of Akkamalai (AK) is Iyerpadi-Akkamalai complex. Sites and codes correspond to the Muthuramkumar et al. 2006 paper (https://doi.org/10.1111/j.1744-7429.2006.00118.x).</p><p><i>Column names and descriptions:</i><br>eventDate: Date range when sampling was carried out in the sites<br>old_sitename: Name of the site as used in the Muthuramkumar et al. (2006) paper (https://doi.org/10.1111/j.1744-7429.2006.00118.x)<br>sitecode: Site code as used in the Muthuramkumar et al. (2006) paper (https://doi.org/10.1111/j.1744-7429.2006.00118.x)<br>site: Site name as at present and used in this dataset<br>decimalLatitude: latitude in decimal degrees North<br>decimalLongitude: longitude in decimal degrees East<br>geodeticDatum: Geodetic Datum WGS 84<br>coordinateUncertaintyInMeters: Uncertainty in metres of the GPS location (as only one location available for entire site where points were distributed)<br>type: Indicates whether site was continuous rainforest or rainforest fragment<br>Area_ha: Area in hectares<br>Altitude_min_m: Minimum altitude in metres of sampled plots<br>Altitude_max_m: Maximum altitude in metres of sampled plots<br>Ownership: Whether site is in privately owned land or within state-protected reserve<br>Average_canopy_height_m: average canopy height in metres<br>Canopy_closure_%: estimated canopy closure in percentage<br>Nearby_plantations: Adjoining plantations</p><p><br><strong>02_all_trees_adult_data.csv</strong></p><p><i>Description</i>: The file contains records of all adult trees >= 30 cm girth at breast height of 1.3 m (gbh) recorded within 20 m x 20 m plots across three continuous forests and two forest fragments.</p><p><i>Note</i>: Same as in the Osuri et al. (2017) dataset (https://doi.org/10.5061/dryad.vd0nn), with <i>Tithonia diversifolia</i> added back in Injipara and data from one additional site (Manamboli Lower) added back from the original dataset corresponding to the Muthuramkumar et al. 2006 paper (https://doi.org/10.1111/j.1744-7429.2006.00118.x).<br> <br><i>Column names and descriptions:</i><br>x: Row index<br>site: Name of forest site<br>plot_no: An unique plot number assigned to each 20m x 20m adult tree plot within each site<br>q_no: An unique number assigned to each of four 10m x 10m quarters within each adult plot<br>t_no: An unique number assigned to each individual tree within each site.<br>old_code: Species codes used at the time of data collection (refer to Appendix A of the main paper for full species names, and the 06_all_species_names.csv file with this dataset)<br>osuri_code: Revised species codes used in the Osuri et al. 2017 paper in <i>Journal of Tropical Ecology</i> 33: 270-284 (https://doi.org/10.1017/S0266467417000219) and related dataset (https://doi.org/10.5061/dryad.vd0nn)<br>current_code: Species codes used at present<br>gbh_1 to gbh_16: Girth at breast height of single- (gbh_1) and multi-stemmed (gbh_2 – gbh_16) individuals, measured in centimetres (cm)<br>P_ID: Unique plot ID created by combining columns site and plot_no</p><p><br><strong>03_all_liana_data.csv</strong></p><p><i>Description</i>: The file contains records of all lianas >= 1 cm diameter at breast height of 1.3 m (dbh) recorded within 20 m x 20 m plots across three continuous forests and two forest fragments.</p><p><i>Note</i>: Lianas were not included in the Osuri et al. (2017) dataset (https://doi.org/10.5061/dryad.vd0nn).</p><p><i>Column names and descriptions:</i><br>x: Row index<br>site: Name of forest site<br>plot_no: An unique plot number assigned to each 20m x 20m adult tree plot within each site<br>q_no: An unique number assigned to each of four 10m x 10m quarters within each adult plot<br>t_no: An unique number assigned to each individual tree within each site.<br>old_code: Species codes used at the time of data collection (refer to Appendix A of the main paper for full species names, and the 06_all_species_names.csv file with this dataset)<br>osuri_code: Indicated as NA since these data were not used in the Osuri et al. 2017 paper in <i>Journal of Tropical Ecology</i> 33: 270-284 (https://doi.org/10.1017/S0266467417000219) and related dataset (https://doi.org/10.5061/dryad.vd0nn)<br>current_code: Species codes used at present<br>dbh_1 to dbh_11: Diameter at breast height of single- (dbh_1) and multi-stemmed (dbh_2 – dbh_11) individuals, measured in centimetres (cm) <br>P_ID: Unique plot ID created by combining columns site and plot_no</p><p><br><strong>04_all_herbs_data.csv</strong></p><p><i>Description</i>: The file contains records of all understorey plants (shrubs, undershrubs, herbs, ferns, and small twiners) recorded in 2 m × 2 m quadrats laid at the four corners of each 20 m × 20 m plot in three continuous forests and two forest fragments.</p><p><i>Note</i>: Understorey plants were not included in the Osuri et al. (2017) dataset (https: //doi.org/10.5061/dryad.vd0nn).</p><p><i>Column names and descriptions:</i><br>x: Row index<br>site: Name of forest site<br>plot_no: An unique plot number assigned to each 20m x 20m plot within each site<br>corner_no: An unique number assigned to each of four 2 m x 2 m quadrat laid at the four corners of the 20 m x 20 m plot<br>t_no: A number assigned to each individual species recorded within the corner plot.<br>old_code: Species codes used at the time of data collection (refer to Appendix A of the main paper for full species names, and the 06_all_species_names.csv file with this dataset)<br>osuri_code: Indicated as NA since these data were not used in the Osuri et al. 2017 paper in <i>Journal of Tropical Ecology</i> 33: 270-284 (https://doi.org/10.1017/S0266467417000219) and related dataset (https://doi.org/10.5061/dryad.vd0nn)<br>current_code: Species codes used at present<br>count: Number of individuals counted (for vegetatively propagating plants a clump of stems that was basally connected was considered as one individual)<br>P_ID: Unique plot ID created by combining columns site and plot_no</p><p><br><strong>05_all_regeneration_data.csv</strong></p><p><i>Description</i>: The file contains records of woody seedlings and saplings (1-5 cm diameter at breast height at 1.3 m, dbh) and larger-stemmed trees (>5 cm dbh) recorded within single 5 m x 5 m regeneration plots nested within 20 m x 20 m plots. Plots were located in three continuous forests and two forest fragments. Data were filtered during analysis in Osuri et al. (2017, <i>Journal of Tropical Ecology</i>) to retain only seedling and saplings, defined as individuals with effective diameter <=5 cm.</p><p><i>Note</i>: Same as in the Osuri et al. (2017) dataset, with <i>Tithonia diversifolia</i> added back in Injipara from original dataset; and data from one additional site (Manamboli Lower) added back from the Muthuramkumar et al. 2006 dataset.<br> <br><i>Column names and descriptions:</i><br>x: Row index<br>site: Name of forest site<br>plot_no: An unique plot number assigned to each 20m x 20m adult tree plot within each site<br>q_no: The 5 m x 5 m plot was placed in the SW corner of the 20 m x 20 m plot in this q_no which indicates one of the four 10 m x 10 m quarters of the 20 m x 20 m plot, where each quarter was given a unique number in each site<br>t_no: An unique number assigned to each individual seedling, sapling or tree within each site.<br>old_code: Species codes used at the time of data collection (for full species names refer to 06_all_species_names.csv file with this dataset)<br>osuri_code: Revised species codes used in the Osuri et al. 2017 paper in <i>Journal of Tropical Ecology </i>33: 270-284 (https://doi.org/10.1017/S0266467417000219) and related dataset (https://doi.org/10.5061/dryad.vd0nn)<br>current_code: Species codes used at present<br>dbh_1 to dbh_12: Diameter at breast height of single- (dbh_1) and multi-stemmed (dbh_2 – dbh_12) individuals, measured in centimetres (cm) <br>eff_dbh: Effective diameter at breast height (cm)- calculated as ((dbh)^2 +(dbh_1)^2 +...+(dbh_12)^2)^(1/2),<br>P_ID: Unique plot ID created by combining columns site and plot_no</p><p><br><strong>06_all_canopy_readings.csv</strong></p><p><i>Description</i>: The file contains canopy-related measurements taken in each 20 m × 20 m plot in three continuous forests and two forest fragments.</p><p><i>Note</i>: Units of light meter reading were not recorded</p><p><i>Column names and descriptions:</i><br>site: Name of forest site<br>plot_no: An unique plot number assigned to each 20m x 20m adult tree plot within each site<br>reading: A number assigned to the 1 to 4 readings taken in each plot<br>light: Light measurement taken with a light meter in the plot<br>canopy_openness: Canopy openness (scored from 0-100%) using a spherical densiometer (Canopy cover = 100 - canopy openness)<br>P_ID: Unique plot ID created by combining columns site and plot_no</p><p><br><strong>07_all_extracanopy_trees_data.csv</strong></p><p><i>Description</i>: The file contains records of additional trees outside the 5 x 5 m plot whose canopy was overhead of the plot.</p><p><i>Note</i>: Species codes are used to denote presence (not count of stems) of that species in the overhead canopy.</p><p><i>Column names and descriptions:</i><br>site: Name of forest site<br>plot_no: An unique plot number assigned to each 20m x 20m adult tree plot within each site<br>q_no: The 5 m x 5 m plot was placed in the SW corner of the 20 m x 20 m plot in this q_no which indicates one of the four 10 m x 10 m quarters of the 20 m x 20 m plot, where each quarter was given a unique number in each site<br>old_code: Species codes used at the time of data collection (for full species names refer to 06_all_species_names.csv file with this dataset)<br>osuri_code: Revised species codes used in the Osuri et al. 2017 paper in J<i>ournal of Tropical Ecology </i>33: 270-284 (https://doi.org/10.1017/S0266467417000219) and related dataset (https://doi.org/10.5061/dryad.vd0nn)<br>current_code: Species codes used at present<br>P_ID: Unique plot ID created by combining columns site and plot_no</p><p><br><strong>08_all_species_names.csv</strong></p><p><i>Description</i>: This file provides species codes and species scientific names as originally used in the Muthuramkumar et al. 2006 paper (https://doi.org/10.1111/j.1744-7429.2006.00118.x), and as matched with the Global Biodiversity Information Facility (GBIF) species name matching tool</p><p><i>Note</i>: For plots that had no species occurrences (old_code = No herbs, Noliana), NA has been used for other columns</p><p><i>Column names and descriptions:</i><br>group: Code indicating main dataset group where species occurs (tree and regeneration data, liana data, understorey plants data)<br>old_code: Species codes used at the time of data collection (refer to traits data file for full species names)<br>osuri_code: Revised species codes if used in the Osuri et al. 2017 paper in <i>Journal of Tropical Ecology</i> 33: 270-284 (https://doi.org/10.1017/S0266467417000219) and related dataset (https://doi.org/10.5061/dryad.vd0nn) or else indicated as NA<br>current_code: Species codes used at present<br>original_name: Scientific name of plant species as used at the time of the original publication (Muthuramkumar et al. 2006)<br>original_fullname: Scientific name and authorship of plant species as used at the time of the original publication (Muthuramkumar et al. 2006)<br>original_family: Family of the plant species as used at the time of original publication<br>GBIFname: Scientific name as matched by GBIF species name matching tool<br>key: GBIF name matching tool key number<br>matchType: Type of match<br>confidence: Confidence returned by name matching tool<br>status: Whether accepted name or synonym<br>rank: Taxanomic rank (level) to which identified<br>kingdom: Taxonomic Kingdom<br>phylum: Taxonomic Phylum<br>class: Taxonomic Class<br>order: Taxonomic Order<br>family: Taxonomic Family<br>genus: Taxonomic Genus<br>species: Taxonomic Species<br>canonicalName: Canonical part of scientific name matched by GBIF<br>authorship: Authorship of scientific name matched by GBIF<br>scientificName: Current scientific name (from species, genus, or family columns)</p><p><br><strong>09_tabula_Biotropica_appendix1.csv</strong></p><p><i>Description</i>: This file contains tabled values extracted from Appendix 1 of Muthuramkumar et al. 2006 paper in Biotropica (DOI: 10.1111/j.1744-7429.2006.00118.x); extraction from PDF carried out using Tabula software (https://tabula.technology/)</p><p><i>Note</i>: Last 5 columns contain total abundance (count of individuals/stems) in the corresponding site.</p><p><i>Column names and descriptions:</i><br>slno: serial number<br>habit: Plant habit indicating trees, lianas, or understorey plants<br>species: species name as used in Appendix 1 of Muthuramkumar et al. 2006<br>asterisk: species endemic to Western Ghats are indicated by an asterisk (∗ ), and invasive species by double asterisk (∗∗ ).<br>voucher_number: voucher number of herbarium specimen deposited in the herbarium of Salim Ali School of Ecology, Pondicherry University, India.<br>family: plant family as in Appendix 1<br>Iyerpadi-Akkamalai: abundance (total number of individuals counted) in this site<br>Manamboli_Upper: abundance (total number of individuals counted) in this site<br>Manamboli_Lower: abundance (total number of individuals counted) in this site<br>Old_Valparai: abundance (total number of individuals counted) in this site<br>Injipara: abundance (total number of individuals counted) in this site</p><p><br><strong>10_Muthuramkumar et al 2006_Abstract and Appendix 1_extract_Biotropica.pdf</strong></p><p>Extracted PDF of first page with Abstract and Appendix 1 of Muthuramkumar et al. 2006 (DOI: 10.1111/j.1744-7429.2006.00118.x).</p><p><br><strong>11_figure_1_Biotropica_paper.jpg</strong></p><p>JPEG image of Figure 1 (map of study area) from the following publication:<br>MUTHURAMKUMAR, S., AYYAPPAN, N., PARTHASARATHY, N., MUDAPPA, D., RAMAN, T. R. S., SELWYN, M. A. & PRAGASAN, L. A. 2006. Plant community structure in tropical rain forest fragments of the Western Ghats, India. Biotropica 38: 143–160. DOI: 10.1111/j.1744-7429.2006.00118.x</p>
High-resolution tropical rain-forest canopy climate data
<p><span>Canopy habitats challenge researchers with their intrinsically difficult access. The current scarcity of climatic data from forest canopies limits our understanding of the conditions and environmental variability of these diverse and dynamic habitats. We present 307 days of climate records collected between 2019 and 2020 in the tropical rainforest canopy of the Yasuní National Park, Ecuador. We monitored climate with a 10-minute temporal resolution in the middle crowns of eight canopy trees. The distance between canopy climate stations ranged from 700 m to 10 km. Apart from air temperature, relative humidity, leaf wetness, and photosynthetically active radiation (PAR), measured in each canopy climate station, global radiation, rainfall, and wind speed were measured in different subsets of them. We processed the eight data series to omit erroneous records resulting from sensor failures or lack of the solar-based power supply. In addition to the eight original data series, we present three derived data series, two aggregating canopy climate for valleys or for ridges (from four stations each), and one overall average (from the eight stations). This last derived data series contains 306 days, while the shortest of the original data series covers 22 days and the longest 296 days. In addition to the data, two open-source tools, developed in RStudio, are presented that facilitate data visualization (a dashboard) and data exploration (a filtering app) of the original and aggregated records.</span></p>
High-resolution tropical rain-forest canopy climate data
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Highly-replicated soil, topography and vegetation sampling across an old-growth tropical rain forest landscape
<p class="MsoNormal">Here we present data from highly-replicated sampling of soil, topography, and vegetation across an old-growth tropical rainforest landscape at the La Selva Biological Station, Costa Rica. Samples were taken at 100 x 50 m spacing using an existing surveyed grid system. The 573-ha sample area spanned a variety of soil, topographic and vegetation conditions, including flat terraces on old alluvial soil, ridge tops and steep slopes on residual soil, riparian habitats and fresh-water swamps. At each of 1170 grid points we established a circular 0.01 ha quadrat (radius = 5.64 m). We sampled soil at 30-50 cm depth with a soil augur and collected a sample for subsequent analysis. We measured slope angle with a clinometer and slope direction with a compass. We measured stem diameter to <u>+</u>1 mm with a synthetic fabric diameter tape for all stems <u>></u>10 cm diameter (N= 5236) at 1.3 m from the ground or to ~ 6 m height if there were basal irregularities. We classified stems to life form (tree, palm, liana), and identified all trees and palms to species or morphospecies (N=266; lianas were not identified to species). We collected vouchers from all trees that we could not positively identify in the field (N=920).</p> <p class="MsoNormal">As a whole the data set presents an integrated view of soil, topography and vegetation across a mesoscale old-growth tropical rain forest landscape. The data have been used to refine a reserve-wide soils map for La Selva, and for a variety of papers analyzing the interactions of soil, topography and species distributions at landscape scales (see the 10 papers listed in the Related Works section below).</p> <p class="MsoNormal">There are no restrictions at all on the use of these data, and we think they will be useful for teaching and analysis projects as well as further original research applications. The data also provide a detailed benchmark of the status of old-growth vegetation in 1993-95 for one of the most intensively studied tropical rain forest landscapes in the world. Because the data are accurately georeferenced and detailed metadata on all methods are provided, this study could be repeated at any time to assess the trajectory of vegetation changes at La Selva, particularly in relation to local disturbances and changing regional and global climates. </p>
Climate and microhabitat shape the prevalence of endozoochory in the seed rain of tropical montane forests
<p>Endozoochory, the dispersal of seeds by animal ingestion, is the most dominant mode of seed dispersal in tropical forests and is a key process shaping current and future forest dynamics. However, it remains largely unknown how endozoochory is associated with environmental conditions at regional and local scales. Here, we investigated the effects of elevation, climate and microhabitat conditions on the proportion of endozoochorous plant species in the seed rain of the tropical Andes of southern Ecuador. Over one year, we measured seed rain in 162 seed traps on nine 1-ha forest plots located at 1000 m, 2000 m, and 3000 m a.s.l. We recorded climatic conditions (mean annual temperature and rainfall) in each plot and microhabitat conditions (leaf area index and soil moisture) adjacent to each seed trap. In total, we recorded 331,838 seeds belonging to 323 morphospecies. Overall, the proportion of endozoochorous species in the seed rain decreased with elevation. Relative biomass of endozoochorous species decreased with increasing rainfall, whereas the relative seed richness of endozoochorous species increased with increasing temperature and leaf area index. These findings suggest an interplay between climate factors and microhabitat conditions in shaping the importance of endozoochorous plant species in the seed rain of tropical montane forests. We conclude that changing climatic and microhabitat conditions are likely to cause changes in the dominant dispersal modes of plant communities which may trigger changes in current and future dynamics of tropical forests.</p>
Data from: Arthropod rain in a lowland tropical forest
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Data from: Fruiting phenology is linked to rainfall variability in a tropical rain forest
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Climate and microhabitat shape the prevalence of endozoochory in the seed rain of tropical montane forests
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Interspecific differences in the responses of root phosphatase activities and morphology to nitrogen and phosphorus fertilization in Bornean tropical rain forests
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Influence of tree height and age on leaf drip-tip morphology in lowland tropical rain forest trees
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Tropical rain forest canopy height measurements 1999 - 2018
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Data for: Hidden decay of live trees in a tropical rain forest
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Highly-replicated soil, topography and vegetation sampling across an old-growth tropical rain forest landscape
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Data from: Genetic diversity of the rain tree (Albizia saman) in Colombian seasonally dry tropical forest for informing conservation and restoration interventions
<p><i>Albizia saman</i> is a multipurpose tree species of seasonally dry tropical forests (SDTFs) of Mesoamerica and northern South America typically cultivated in silvopastoral and other agroforestry systems around the world, a trend that is bound to increase in light of multimillion hectare commitments for forest and landscape restoration. The effective conservation and sustainable use of <i>A. saman</i> requires detailed knowledge of its genetic diversity across its native distribution range of which surprisingly little is known to date. We assessed the genetic diversity and structure of <i>A.saman</i> across twelve representative locations of SDTF in Colombia, and how they may have been shaped by past climatic changes and human influence. We found four different genetic groups which may be the result of differentiation due to isolation of populations in pre-glacial times. The current distribution and mixture of genetic groups across STDF fragments we observed might be the result of range expansion of SDTFs during the last glacial period followed by range contraction during the Holocene and human-influenced movement of germplasm associated with cattle ranching. Despite the fragmented state of the presumed natural <i>A. saman</i> stands we sampled we did not find any signs of inbreeding, suggesting that gene flow is not jeopardized in humanized landscapes. However, further research is needed to assess potential deleterious effects of fragmentation on progeny. Climate change is not expected to seriously threaten the <i>in situ</i> persistence of <i>A. saman</i> populations and might present opportunities for future range expansion. However, the sourcing of germplasm for tree planting activities needs to be aligned with the genetic affinity of reference populations across the distribution of Colombian SDTFs. We identify priority source populations for i<i>n situ</i> conservation based on their high genetic diversity, lack or limited signs of admixture and/or genetic uniqueness.</p>
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.