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opencc-by-4.0Aug 2021View details →

Fig. 3 in Small mammals from the lasting fragments of Araucaria Forest in southern Brazil: a study about richness and diversity

Fig. 3. True diversity values (TD), order q = 1, of small mammals sampled at five vegetation types of Piraí do Sul National Forest, ParanÁ state, Brazil. Equal letters indicate overlap of the 95% confidence intervals (PP, Pine Plantation; RF, Riparian Forest; AP, Araucaria Plantation; NR, Natural Regeneration forest; HA, High Altitude forest).

Fig. 5 in Small mammals in high fragmented landscape in Cerrado/ Atlantic Forest ecotone, Southeastern Brazil

Fig. 5. Diagram of ordering of species of small mammals and environmental variables in the 24 small forest fragments in southeastern Brazil, produced by canonical correspondence analysis. The Acronyms represent "uc" to understory closure, "co" to canopy openness, "ep" to epiphytism, "lia" to lianas, "ft" to cattle, "cs" to creeks and streams, "we" to wetlands, "se" to soil exposure, "ro" to rocky outcrop, "lit" to litter, "ab" to arthropod biomass, "vr" to vegetal richness, "va" to vegetal abudance, and "ath" to average tree height.

opencc-by-4.0Aug 2021View details →

Fig. 2 in Small mammals from the lasting fragments of Araucaria Forest in southern Brazil: a study about richness and diversity

Fig. 2. Rarefaction curves of small mammals sampled at five vegetation types of Piraí do Sul National Forest, ParanÁ state, Brazil, with a 95% confidence interval (A, Pine Plantation; B, Riparian Forest; C, Araucaria Plantation; D, Natural Regeneration forest; E, High Altitude forest).

opencc-by-4.0Aug 2021View details →

Fig. 1. Location and vegetation types where small mammals were sampled between November 2012 and September 2013 in Small mammals from the lasting fragments of Araucaria Forest in southern Brazil: a study about richness and diversity

Fig. 1. Location and vegetation types where small mammals were sampled between November 2012 and September 2013, at Piraí do Sul National Forest, ParanÁ state, Brazil (A, Pine Plantation; B, Riparian Forest; C, Araucaria Plantation; D, Natural Regeneration forest; E, High Altitude forest). Original distribution of Atlantic Forest biome (light gray) and Araucaria forest (dark gray).

Fig. 1 in Small mammals in high fragmented landscape in Cerrado/ Atlantic Forest ecotone, Southeastern Brazil

Fig. 1. Location of the forest communities studied in 24 forest fragments located in southeastern Brazil. A description of individual forest fragments can be found in Supplementary Material Tab. A1.

Fig. 4 in Small mammals in high fragmented landscape in Cerrado/ Atlantic Forest ecotone, Southeastern Brazil

Fig. 4. Beta (β) diversity values for small mammals related to nesting (βsne), turnover (βsim) and general dissimilarity (βsor) in the 24 small forest fragments located in southeastern Brazil. The figures on the right represent the final percentage for each index.

Fig. 2 in Small mammals in high fragmented landscape in Cerrado/ Atlantic Forest ecotone, Southeastern Brazil

Fig. 2. Species accumulation curves to 24 fragments together for small mammals located in southeastern Brazil.

opencc-by-4.0Oct 2020View details →

Fig. 1 in Occurrence and infestation rates of Streblidae (Diptera, Hippoboscoidea) on bats (Mammalia, Chiroptera) in a semideciduous seasonal forest fragment in western Paraná, Brazil

Fig. 1. MonthlY average precipitation and temperature in Palotina, PR, Brazil, from 1997 to 2016. Source: SIMEPAR, 2018.

opencc-by-4.0Nov 2018View details →

Figs 2, 3 in Susceptibility of targets to the vampire bat Desmodus rotundus are proportional to their abundance in Atlantic Forest fragments?

Figs 2, 3. Two records of the approach of Desmodus rotundus (É. Geoffroy, 1810): 2, a bat landing on a trunk near a deer (Mazama americana); 3, a bat on the ground very close to a tapir (Tapirus terrestris).

opencc-by-4.0Nov 2018View details →

Fig. 1 in Susceptibility of targets to the vampire bat Desmodus rotundus are proportional to their abundance in Atlantic Forest fragments?

Fig. 1. Study area located in the municipalities of ItajÁ and Aporé, state of GoiÁs, BraZil. Black dots represent the sites where the camera traps were set up.

Fig. 3 in Dry forest fragmentation in Brazilian Cerrado and its effects on communities of ground foraging ants

Fig. 3. Non-metric multidimensional scaling scores, obtained from data on the composition of ants recorded at sampling points in the dry forest area (P16 to P30) and in the surrounding matrix (P1 to P15), in the southeastern region of Goiás, Brazil. The dotted lines represent the confidence intervals for the fragment and surrounding cultivated fields compared by the similarity test, analysis of similarity (P = 0.001).

Fig. 2 in Dry forest fragmentation in Brazilian Cerrado and its effects on communities of ground foraging ants

Fig. 2. Observed and estimated species richness of ground foraging ants (Jackknife1 data); from (A) dry forest and surrounding cultivated land; (B) general ants collected in different periods over time - C1 (first crop), C2 (second crop), and C3 (inter-crop).

Fig. 1 in Dry forest fragmentation in Brazilian Cerrado and its effects on communities of ground foraging ants

Fig. 1. Geographical location of the experimental areas. The dry forest fragments with their respective areas ([1] = 16.4 ha; [2] = 20.9 ha; [3] = 38.8 ha; [4] = 8.5 ha; [5] = 4.22 ha; [6] = 55.4 ha; [7] = 13.3 ha; [8] = 33.4 ha; [9] = 10.3 ha; [10] = 47.4 ha). One of the dry forest fragments and part of the surrounding cropland is highlighted where pitfall traps were located (Ipameri, Goiás). Red dots represent sites where pitfall traps were installed along the transect.

Fig. 4 in Dry forest fragmentation in Brazilian Cerrado and its effects on communities of ground foraging ants

Fig. 4. (A) Dendrograms from standard hierarchical clustering based on the Jaccard Similarity Index of the ant assemblages associated with dry forest fragments and croplands of the whole community of ground foraging ants captured with baited traps at 3 different times: C1 = soybean (first crop), C2 = maize (second crop), and C3 = fields without crops. (B) F1 to F10 represent the different fragments of dry forest.

opencc-zeroJan 2024View details →

Linked collectors and determiners for: Tropical epiphyte diversity under human impact ? Comparing primary forests, secondary forests, and forest fragments in Ecuador - Otonga.

Natural history specimen data linked to collectors and determiners held within, "Tropical epiphyte diversity under human impact ? Comparing primary forests, secondary forests, and forest fragments in Ecuador - Otonga". Claims or attributions were made on Bionomia by volunteer Scribes, <a href="https://bionomia.net/dataset/08a79618-374c-4014-9e71-3194ef3cf69a">https://bionomia.net/dataset/08a79618-374c-4014-9e71-3194ef3cf69a</a> using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, <a href="https://gbif.org/dataset/08a79618-374c-4014-9e71-3194ef3cf69a">https://gbif.org/dataset/08a79618-374c-4014-9e71-3194ef3cf69a</a>. Formatted as a Frictionless Data package.

opencc-zeroJan 2024View details →

Linked collectors and determiners for: Tropical epiphyte diversity under human impact ? Comparing primary forests, secondary forests, and forest fragments in Ecuador - Bilsa.

Natural history specimen data linked to collectors and determiners held within, "Tropical epiphyte diversity under human impact ? Comparing primary forests, secondary forests, and forest fragments in Ecuador - Bilsa". Claims or attributions were made on Bionomia by volunteer Scribes, <a href="https://bionomia.net/dataset/42962fd5-34ee-4666-abdb-04e8ba4d23b0">https://bionomia.net/dataset/42962fd5-34ee-4666-abdb-04e8ba4d23b0</a> using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, <a href="https://gbif.org/dataset/42962fd5-34ee-4666-abdb-04e8ba4d23b0">https://gbif.org/dataset/42962fd5-34ee-4666-abdb-04e8ba4d23b0</a>. Formatted as a Frictionless Data package.

dryad40/100

Active restoration fosters better recovery of tropical rainforest birds than natural regeneration in degraded forest fragments

<ol> <li>Ecological restoration has emerged as a key strategy for conserving tropical forests and habitat specialists, and monitoring faunal recovery using indicator taxa like birds can help assess restoration success. Few studies have examined, however, whether active restoration achieves better recovery of bird communities than natural regeneration, or how bird recovery relates to habitat affiliations of species in the community.</li> <li>In rainforests restored over the past two decades in a fragmented landscape (Western Ghats, India), we examined whether bird species richness and community composition recovery in 23 actively restored (AR) sites was significantly better than recovery in paired naturally regenerating (NR) sites, relative to 23 undisturbed benchmark (BM) rainforests. We measured 8 habitat variables and tested whether bird recovery tracked habitat recovery, whether rainforest and open-country birds showed contrasting patterns, and assessed species-level responses to restoration.</li> <li>We recorded 92 bird species in 460 point-count surveys. Rainforest bird species richness was highest in BM, intermediate in AR, and lowest in NR. Contrastingly, open-country bird species richness was least in BM, intermediate in AR, and highest in NR.</li> <li>Bird community composition varied significantly across treatment types with composition in AR in transition from NR to BM. Bird community dissimilarity between sites was positively related to dissimilarity in habitat structure and floristics, and geographic distance between sites. Variance partitioning indicated that structural and floristic dissimilarity explained 90% of the variation in community composition.</li> <li>Indicator species analysis revealed significant associations of 34 species with one or more treatment types. Species associated with BM and AR treatment types were all rainforest species, while only 38% of species associated with AR and NR treatment types were rainforest species.</li> <li> Synthesis and applications: We show that active restoration of degraded fragments benefits rainforest birds and reduces the infiltration of open-country birds, and highlight the importance of considering rainforest and open-country species separately. In human-modified tropical rainforest landscapes, active restoration of degraded fragments fosters partial recovery and complements protection of mature forests for bird conservation.</li> </ol>

opencc-zeroSep 2021View details →

opencc-by-4.0Dec 2022View details →

Data from: Plant Community Structure in Tropical Rain Forest Fragments of the Western Ghats, India

DESCRIPTIONThis 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: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>. Biotropica 38: 143–160. DOI: 10.1111/j.1744-7429.2006.00118.xThe regeneration data were analysed and presented in the following publication and related dataset: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. Journal of Tropical Ecology 33(4): 270-284. DOI: <a href="http://doi.org/10.1017/S0266467417000219">10.1017/S0266467417000219</a>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 CONTACTSCONTACT #1 1. Name: <a href="https://orcid.org/0000-0002-1347-3953">T. R. Shankar Raman</a> 2. Work Address: Nature Conservation Foundation, 1311, 12th A Main, Vijayanagar 1st Stage, Mysuru 570017, Karnataka, India 3. Work Phone: +91 821 2515601 4. Email address: trsr@ncf-india.org 5. ORCID: https://orcid.org/0000-0002-1347-3953CONTACT #2 1. Name: <a href="https://orcid.org/0000-0001-9708-4826">Divya Mudappa</a> 2. Work Address: Nature Conservation Foundation, 1311, 12th A Main, Vijayanagar 1st Stage, Mysuru 570017, Karnataka, India 3. Work Phone: +91 821 2515601 4. Email address: divya@ncf-india.org 5. ORCID: https://orcid.org/0000-0001-9708-4826CONTACT #3 1. Name: <a href="https://orcid.org/0000-0001-9909-5633">Anand M. Osuri</a> 2. Work Address: Nature Conservation Foundation, 1311, 12th A Main, Vijayanagar 1st Stage, Mysuru 570017, Karnataka, India 3. Work Phone: +91 821 2515601 4. Email address: aosuri@ncf-india.org 5. ORCID: https://orcid.org/0000-0001-9909-5633CONTACT #4 1. Name:  <a href="https://orcid.org/0000-0003-4383-557X">N. Ayyappan</a> 2. Work Address: French Institute of Pondicherry, No. 11, Post Box No. 33, Saint Louis Street, Pondicherry – 605 001, India. 3. Work Phone: + 91- 413-2231616 4. Email address: ayyappan.n@ifpindia.org 5. ORCID: https://orcid.org/0000-0003-4383-557XCONTACT #5 1. Name:  <a href="https://orcid.org/0000-0002-7791-8499">S. Muthuramkumar</a> 2. Work Address: V.H.N.S.N. College, 3/151-1, College Road, Virudhunagar - 626001, Tamil Nadu, India. 3. Work Phone: + 91-4562-280154 4. Email address: muthuramkumar@vhnsnc.edu.in 5. ORCID: https://orcid.org/0000-0002-7791-8499CONTACT #6 1. Name:  <a href="https://orcid.org/0000-0002-4172-5441">N. Parthasarathy</a> 2. Work Address: Department of Ecology and Environmental Sciences, Pondicherry University, R Venkat Raman Nagar, Kalapet, Pondicherry 605014, India 3. Work Phone: + 91-413-2654326 4. Email address: parthapu@yahoo.com 5. ORCID: https://orcid.org/0000-0002-4172-5441 KEYWORDSAnamalai hills; biodiversity hotspot; disturbance; endemics; fragmentation; lianas; plant conservation; tree diversity; tropical rain forest; understory plants. GEOGRAPHIC COVERAGE1. Location/Study Area: Valparai Plateau, Tamil Nadu, India; Anamalai Tiger Reserve, Tamil Nadu, India2. 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) TEMPORAL COVERAGE1. Begins: 2003-03-01 (Year, Month, Day) 2. Ends: 2003-04-30 (Year, Month, Day) METHODSMethods involved systematic vegetation plots for trees, lianans and understorey plants as described in Muthuramkumar et al. 2006 (Biotropica 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 (Journal of Tropical Ecology 33(4): 270-284. DOI: 10.1017/S0266467417000219). The vegetation sampling methods are briefly described below.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).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.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).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. ACKNOLWEDGEMENTSFunders 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. FILES INCLUDEDBesides the 00_README.txt file that contains this metadata, the dataset includes the following 11 files, whose details and contents are explained below. 01_all_sites.csvDescription: The file contains details of the five study sites (three continuous forest and two forest fragment sites).   Note: 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).Column names and descriptions: eventDate: Date range when sampling was carried out in the sites 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) sitecode: Site code as used in the Muthuramkumar et al. (2006) paper (https://doi.org/10.1111/j.1744-7429.2006.00118.x) site: Site name as at present and used in this dataset decimalLatitude: latitude in decimal degrees North decimalLongitude: longitude in decimal degrees East geodeticDatum: Geodetic Datum WGS 84 coordinateUncertaintyInMeters: Uncertainty in metres of the GPS location (as only one location available for entire site where points were distributed) type: Indicates whether site was continuous rainforest or rainforest fragment Area_ha: Area in hectares Altitude_min_m: Minimum altitude in metres of sampled plots Altitude_max_m: Maximum altitude in metres of sampled plots Ownership: Whether site is in privately owned land or within state-protected reserve Average_canopy_height_m: average canopy height in metres Canopy_closure_%: estimated canopy closure in percentage Nearby_plantations: Adjoining plantations 02_all_trees_adult_data.csvDescription: 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.Note: Same as in the Osuri et al. (2017) dataset (https://doi.org/10.5061/dryad.vd0nn), with Tithonia diversifolia 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).   Column names and descriptions: x: Row index site: Name of forest site plot_no: An unique plot number assigned to each 20m x 20m adult tree plot within each site q_no: An unique number assigned to each of four 10m x 10m quarters within each adult plot t_no: An unique number assigned to each individual tree within each site. 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) osuri_code: Revised species codes used in the Osuri et al. 2017 paper in Journal of Tropical Ecology 33: 270-284 (https://doi.org/10.1017/S0266467417000219) and related dataset (https://doi.org/10.5061/dryad.vd0nn) current_code: Species codes used at present 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) P_ID: Unique plot ID created by combining columns site and plot_no 03_all_liana_data.csvDescription: 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.Note: Lianas were not included in the Osuri et al. (2017) dataset (https://doi.org/10.5061/dryad.vd0nn).Column names and descriptions: x: Row index site: Name of forest site plot_no: An unique plot number assigned to each 20m x 20m adult tree plot within each site q_no: An unique number assigned to each of four 10m x 10m quarters within each adult plot t_no: An unique number assigned to each individual tree within each site. 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) osuri_code: Indicated as NA since these data were not used in the Osuri et al. 2017 paper in Journal of Tropical Ecology 33: 270-284 (https://doi.org/10.1017/S0266467417000219) and related dataset (https://doi.org/10.5061/dryad.vd0nn) current_code: Species codes used at present 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)     P_ID: Unique plot ID created by combining columns site and plot_no 04_all_herbs_data.csvDescription: 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.Note: Understorey plants were not included in the Osuri et al. (2017) dataset (https: //doi.org/10.5061/dryad.vd0nn).Column names and descriptions: x: Row index site: Name of forest site plot_no: An unique plot number assigned to each 20m x 20m plot within each site 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 t_no: A number assigned to each individual species recorded within the corner plot. 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) osuri_code: Indicated as NA since these data were not used in the Osuri et al. 2017 paper in Journal of Tropical Ecology 33: 270-284 (https://doi.org/10.1017/S0266467417000219) and related dataset (https://doi.org/10.5061/dryad.vd0nn) current_code: Species codes used at present count: Number of individuals counted (for vegetatively propagating plants a clump of stems that was basally connected was considered as one individual) P_ID: Unique plot ID created by combining columns site and plot_no 05_all_regeneration_data.csvDescription: 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, Journal of Tropical Ecology) to retain only seedling and saplings, defined as individuals with effective diameter <=5 cm.Note: Same as in the Osuri et al. (2017) dataset, with Tithonia diversifolia added back in Injipara from original dataset; and data from one additional site (Manamboli Lower) added back from the Muthuramkumar et al. 2006 dataset.   Column names and descriptions: x: Row index site: Name of forest site plot_no: An unique plot number assigned to each 20m x 20m adult tree plot within each site 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 t_no: An unique number assigned to each individual seedling, sapling or tree within each site. 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) osuri_code: Revised species codes used in the Osuri et al. 2017 paper in Journal of Tropical Ecology 33: 270-284 (https://doi.org/10.1017/S0266467417000219) and related dataset (https://doi.org/10.5061/dryad.vd0nn) current_code: Species codes used at present 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)     eff_dbh: Effective diameter at breast height (cm)- calculated as ((dbh)^2 +(dbh_1)^2 +...+(dbh_12)^2)^(1/2), P_ID: Unique plot ID created by combining columns site and plot_no 06_all_canopy_readings.csvDescription: The file contains canopy-related measurements taken in each 20 m × 20 m plot in three continuous forests and two forest fragments.Note: Units of light meter reading were not recordedColumn names and descriptions: site: Name of forest site plot_no: An unique plot number assigned to each 20m x 20m adult tree plot within each site reading: A number assigned to the 1 to 4 readings taken in each plot light: Light measurement taken with a light meter in the plot canopy_openness: Canopy openness (scored from 0-100%) using a spherical densiometer (Canopy cover = 100 - canopy openness) P_ID: Unique plot ID created by combining columns site and plot_no 07_all_extracanopy_trees_data.csvDescription: The file contains records of additional trees outside the 5 x 5 m plot whose canopy was overhead of the plot.Note: Species codes are used to denote presence (not count of stems) of that species in the overhead canopy.Column names and descriptions: site: Name of forest site plot_no: An unique plot number assigned to each 20m x 20m adult tree plot within each site 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 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) osuri_code: Revised species codes used in the Osuri et al. 2017 paper in Journal of Tropical Ecology 33: 270-284 (https://doi.org/10.1017/S0266467417000219) and related dataset (https://doi.org/10.5061/dryad.vd0nn) current_code: Species codes used at present P_ID: Unique plot ID created by combining columns site and plot_no 08_all_species_names.csvDescription: 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 toolNote: For plots that had no species occurrences (old_code = No herbs, Noliana), NA has been used for other columnsColumn names and descriptions: group: Code indicating main dataset group where species occurs (tree and regeneration data, liana data, understorey plants data) old_code: Species codes used at the time of data collection (refer to traits data file for full species names) osuri_code: Revised species codes if used in the Osuri et al. 2017 paper in Journal of Tropical Ecology 33: 270-284 (https://doi.org/10.1017/S0266467417000219) and related dataset (https://doi.org/10.5061/dryad.vd0nn) or else indicated as NA current_code: Species codes used at present original_name: Scientific name of plant species as used at the time of the original publication (Muthuramkumar et al. 2006) original_fullname: Scientific name and authorship of plant species as used at the time of the original publication (Muthuramkumar et al. 2006) original_family: Family of the plant species as used at the time of original publication GBIFname: Scientific name as matched by GBIF species name matching tool key: GBIF name matching tool key number matchType: Type of match confidence: Confidence returned by name matching tool status: Whether accepted name or synonym rank: Taxanomic rank (level) to which identified kingdom: Taxonomic Kingdom phylum: Taxonomic Phylum class: Taxonomic Class order: Taxonomic Order family: Taxonomic Family genus: Taxonomic Genus species: Taxonomic Species canonicalName: Canonical part of scientific name matched by GBIF authorship: Authorship of scientific name matched by GBIF scientificName: Current scientific name (from species, genus, or family columns) 09_tabula_Biotropica_appendix1.csvDescription: 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/)Note: Last 5 columns contain total abundance (count of individuals/stems) in the corresponding site.Column names and descriptions: slno: serial number habit: Plant habit indicating trees, lianas, or understorey plants species: species name as used in Appendix 1 of Muthuramkumar et al. 2006 asterisk: species endemic to Western Ghats are indicated by an asterisk (∗ ), and invasive species by double asterisk (∗∗ ). voucher_number: voucher number of herbarium specimen deposited in the herbarium of Salim Ali School of Ecology, Pondicherry University, India. family: plant family as in Appendix 1 Iyerpadi-Akkamalai: abundance (total number of individuals counted) in this site Manamboli_Upper: abundance (total number of individuals counted) in this site Manamboli_Lower: abundance (total number of individuals counted) in this site Old_Valparai: abundance (total number of individuals counted) in this site Injipara: abundance (total number of individuals counted) in this site 10_Muthuramkumar et al 2006_Abstract and Appendix 1_extract_Biotropica.pdfExtracted PDF of first page with Abstract and Appendix 1 of Muthuramkumar et al. 2006 (DOI: 10.1111/j.1744-7429.2006.00118.x). 11_figure_1_Biotropica_paper.jpgJPEG image of Figure 1 (map of study area) from the following publication: 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

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Potential aboveground biomass increase in Brazilian Atlantic Forest fragments with climate change

This file collection contains the estimated spatial distribution of the above-ground biomass density (AGB) by the end of the 21st century across the Brazilian Atlantic Forest domain and the respective uncertanty. To develop the models, we used the maximum entropy method with projected climate data to 2100, based on the Intergovernmental Panel on Climate Change (IPCC) Representative Concentration Pathway (RCP) 4.5 from the fifth Assessment Report (AR5). The dataset is composed of four files in GeoTIFF format: calibrated-AGB-distribution.tif: raster file representing the present spatial distribution of the above-ground biomass density in the Atlantic Forest from the calibrated model. Unit: Mg/ha  estimated-uncertanty-for-calibrated-agb-distribution.tif: raster file representing the estimated spatial uncertanty distribution of the calibrated above-ground biomass density. Unit: percentage. projected-AGB-distribution-under-rcp45.tif: raster file representing the projected spatial distribution of the above-ground biomass density in the Atlantic Forest by the end of 2100 under RCP 4.5 scenario. Unit: Mg/ha  estimated-uncertanty-for-projected-agb-distribution.tif: raster file representing the estimated spatial uncertanty distribution of the projected above-ground biomass density. Unit: percentage. Spatial resolution: 0.0083 degree (ca. 1 km) Coordinate reference system: Geographic Coordinate System - Datum WGS84