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123 results for “plant community structure”
dataset: Responses of the structure and function of the understory plant communities to precipitation reduction across forest ecosystems in Germany
<p><strong>Context</strong>: Understory plant communities play a central role in forest biogeochemistry and the recruitment of trees making up the future forest. It is so far poorly understood how climate change will affect understory structure and functions in forest of different management intensity.</p> <p> </p><p><strong>Aims</strong>: We monitored understory functional traits including transpiration and carbon isotope discrimination, community structure and diversity during two growing seasons as affected by drought in forests subjected to different management intensities. We hypothesized that drought would affect ecophysiological traits such as transpiration but not species richness and diversity. Moreover, we assumed that stand-specific characteristics and forest management intensity modify the drought-resistance of the understory community.</p> <p></p> <p><strong>Methods</strong>: We set up roofs in beech and conifer stands with different management intensity in three different regions across Germany and a drought event close to the 2003 drought was imposed in two consecutive years.</p> <p><strong>Results</strong>: Precipitation reduction decreased soil water content by 2 to 8%, depending on stand and region, in comparison to the control subplots. In the first year, leaf level transpiration was reduced for different functional groups, which scaled to community transpiration modified by additional effects of drought on functional group specific leaf area. Acclimation effects in most functional groups were observed in the second year. We did not observe a significant reduction of plant diversity or a consistent management effect upon drought.</p> <p><strong>Conclusion</strong>: Our results indicate high plasticity and acclimation responses of the forest understory vegetation to changing climate conditions and recurrent drought events.</p> <p><strong>Abbreviations:</strong></p> <p>sp12 - campaign spring 2012; ls12 - campaign late summer 2012; es13 - campaign early summer 2013; ls13-campaign late summer 2013</p> <p>SEW16 - Schorfheide plot 16; SEW49 - Schorfheide plot 49; SEW48 - Schorfheide plot 48;HEW03 - Hainich plot 03; HEW12 - Hainich plot 12; HEW47- Hainich plot 47; AEW13 - Alb plot 13; AEW29 - Alb plot 29; AEW08 - Alb plot 08<br> explo - exploratory<br> SEW - Schorfheide; HEW - Hainich; AEW - Schwäbische Alb<br> in - conifer intensive managed; ma - beech managed; un - beech unmanaged<br> c- control; r - roof<br> LAIs - community leaf area index m<sup>2</sup>/m<sup>2</sup>; H - Shannon´s diversity index; Ts - community transpiration rate (weighted by LAI) mmol H<sub>2</sub>O m-<sup>2</sup> leaf area s-<sup>1</sup>; Ets - Evapotranspiration (mmol/m2/sec); E - Evaporation (mmol/m2/sec); C - leaf photosynthetic carbon isotope discrimination (∆<sup>13</sup>C) according to Farquhar et al. (1982); Cs - community photosynthetic carbon isotope discrimination (∆<sup>13</sup>C) according to Farquhar et al. (1982) (weighted by LAI)</p> <p> </p>
Structure and composition and carbon Stocks of woody plant community in assisted and unassisted ecological succession in a Tamaulipan thornscrub, Mexico
<p>In November of 2017, the structure and composition of woody plant communities were investigated through a floristic composition and diversity evaluation on three areas: a control area, an assisted ecological succession area and an unassisted ecological succession area.</p>
Dataset Changes in structure and assembly of a species-rich soil natural community with contrasting nutrient availability upon establishment of a plant-beneficial Pseudomonas in the wheat rhizosphere
<p>This dataset is related to the paper "<strong>Changes in structure and assembly of a species-rich soil natural community with contrasting nutrient availability upon establishment of a plant-beneficial <em>Pseudomonas </em>in the wheat rhizosphere</strong>" (Garrido-Sanz et al., 2023, doi: 10.1186/s40168-023-01660-5) and contains the data obtained from bacterial competition asays and plant-growth measurements.</p> <p>Sequencing data used in this study has been deposited in the NCBI Sequence Read Archive (RSA) under the BioProject accession number <a href="https://www.ncbi.nlm.nih.gov/bioproject/PRJNA948847">PRJNA948847</a>.</p> <p>The R script used to analyze the data generated in the paper is available at <a href="https://github.com/dgarrs/Pprotegens_proliferation_NatComs">GitHub </a>and <a href="https://doi.org/10.5281/zenodo.8322086">Zenodo</a>.</p>
Prairie manure application impacts on floral abundance, plant growth, plant community structure, insect and spider community abundance and activity density in experimental plots in Ames, Iowa (2021-2022).
This dataset contains results from a two-year field experiment at Iowa State University’s Horticulture Research Station to evaluate the effects of dairy manure application on native prairie plant and insect communities. We established replicated 4 m² plots across two field types, an established tallgrass prairie and a tilled crop field, and applied four manure treatments (weekly, biweekly, once per season, and control) using liquid slurry from a local dairy farm. Plant responses were monitored through weekly measurements of mortality, ground cover, floral abundance, plant height, and visual obstruction. Insect communities were sampled biweekly using vacuum suction for foliage and flower visitors and pitfall traps for ground-dwelling arthropods. Collected insects were identified to order, with Hymenoptera and Carabidae further resolved to family or genus.
Summary of plant community structure of thinleaf alder sites along the Tanana River floodplains from 2006.
This dataset contains a summary of plant species composition and abundance data from thinleaf alder sites along the Tanana River floodplains in 2006. This includes stem counts by species (or genus) for all woody plants less then 2m in height (both separated by dbh size class and combined), stem counts by species for all woody plants greater then 2m in height, percent cover of each forb and graminoid species, mosses, and lichens, and percent of bare ground. The presence or absence of moose and snowshoe hare feces are also indicated.
Data and code corresponding to the article "Interaction network structure explains species temporal persistence in empirical plant-pollinator communities"
<p>This upload contains the Datasets and code to generate the results of the article "Interaction network structure explains species temporal persistence in empirical plant-pollinator communities".</p><p>The database comprises two files containing the abundances of plants and pollinators, and one containing the interaction networks among plants and pollinators. </p><p>The code folder contains the code to generate the results, and to generate the figures of the manuscript. </p>
Plant silicon content as a proxy for understanding plant community properties and ecosystem structure
<p>Main dataset from the paper entitled "Plant silicon content as a proxy for understanding plant community properties and ecosystem structure".</p>
Fig. 1 in Species Composition And Structure Of The Communities Of Plant-Parasitic And Free-Living Soil Nematodes In The Greenhouses Of Botanical Gardens Of Ukraine
Fig. 1. Dendrogram of similarity of the nematode communities in the greenhouses of botanical gardens of Ukraine (amalgamation by the method of complete linkage). Explanation of the abbreviations is given in table 2. Рис. 1. Дендрограмма сходства нематодных сообществ в оранжереях ботанических садов Украины (объединение по методу полной связи). Расшифровка сокращений дана в таблице 2.
Fig. 2 in Species Composition And Structure Of The Communities Of Plant-Parasitic And Free-Living Soil Nematodes In The Greenhouses Of Botanical Gardens Of Ukraine
Fig. 2. Dendrogram of similarity of plant-parasitic nematodes' communities in the greenhouses of botanical gardens of Ukraine (amalgamation by the method of complete linkage). Explanation of the abbreviations is given in table 2.
Figure 5 in Composition and structure of plant communities in the Moist Temperate Forest Ecosystem of the Hindukush Mountains, Pakistan
Figure 5. CCA plot Analysis of illustrating the influence of elevation on spreading pattern of plant communities in Lalkoo valley Swat.
Figure 4 in Composition and structure of plant communities in the Moist Temperate Forest Ecosystem of the Hindukush Mountains, Pakistan
Figure 4. Results of CCA joint biplot showing results for eleven plant communities' correlation with environmental variable. BAB-I: Berberis- Abies- Bergenia; PIP-II: Picea-Indigofera- Poa; APP-III: Abies- Parrotiopsis- Poa,QVP-IV:Quercus-Viburnum-Poa,PSP-V:PiceaSalix-Primula,AVP-VI:Abies-Viburnum -Poa; VTP-VII: ViburnumTaxus-Poa; PVL-VIII: Pinus-Viburnum-Lithospermum; ABC-IX: Abies-Berberis-Carex; PVP-X: Pinus-Viburnum-Poa; and PPP-XI: Parrotiopsis-Picea-Poa represents community types.
Figure 2 in The structure and composition of the woody plant communities of Majete Wildlife Reserve, Malawi
Figure 2. Typical examples of the plant communities in Majete Wildlife Reserve; A, riparian woodland (Rw); B, grassland (Gr); C–D, shrublands and woodlands (SW); E, transitional woodland (Tw); and F, miombo (M). Photo credits: W.A. Nieman.
Figure 1 in The structure and composition of the woody plant communities of Majete Wildlife Reserve, Malawi
Figure 1. Dendrogram of species composition for different woody plant communities based on the Jaccard similarity index.
Figure 4 in The structure and composition of the woody plant communities of Majete Wildlife Reserve, Malawi
Figure 4. The comparative performance of six incidence-based species richness estimators (Chao 2, Chao 2-bc, iChao 2, Jack 1, Jack 2 and ICE) for all woody plant species recorded in Majete Wildlife Reserve (n = 118). The observed species accumulation curve (Sobs) with 95% confidence intervals, as well as the cumulative number of singletons (the number of species recorded only once during the survey) and doubletons (the number of species recorded only twice during the survey), were also plotted. Estimated woody species richness values are indicated in brackets.
Figure 3 in The structure and composition of the woody plant communities of Majete Wildlife Reserve, Malawi
Figure 3. Distribution of woody plant communities in Majete Wildlife Reserve (MWR). The inset shows the location of the MWR in Malawi.
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>
Climate and the biotic community structure plant resistance across biogeographic groups of yellow monkeyflower
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Metadata from: Rhizosphere bacteria and fungi are differentially structured by host plants, soil mineralogy and ectomycorrhizal communities in the Alaskan tundra
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Data and code from "A dimmer shade of pale: revealing the faint signature of local assembly processes on the structure of strongly filtered plant communities"
<p>Trait-based ecology suggests that abiotic filtering is the main mechanism structuring the regional species pool in different subsets of habitat-specific species. At more local spatial scales, other ecological processes may add on giving rise to complex patterns of functional diversity (FD). Understanding how assembly processes operating on the habitat-specific species pools produce the locally observed plant assemblages is an ongoing challenge. Here, we evaluated the importance of different processes to community assembly in an alpine fellfield, assessing its effects on local plant trait FD. Using classical randomization tests and linear mixed models, we compared the observed FD with expectations from three null models that hierarchically incorporate additional assembly constraints: stochastic null models (random assembly), independence null models (each species responding individual and independently to abiotic environment), and co-occurrence null models (species responding to environmental variation and to the presence of other species). We sampled species composition in 115 quadrats across 24 locations in the central Pyrenees (Spain) that differed in soil conditions, solar radiation and elevation. Overall, the classical randomization tests were unable to find differences between the observed and expected functional patterns, suggesting that the strong abiotic filters that sort out the flora of extreme regional environments blur any signal of other local processes. However, our approach based on linear mixed models revealed the signature of different ecological processes. In the case of seed mass and leaf thickness, observed FD significantly deviated from the expectations of the stochastic model, suggesting that fine-scale abiotic filtering and facilitation can be behind these patterns. Our study highlights how the hierarchical incorporation of ecological additional constraints may shed light on the dim signal left by local assembly processes in alpine environments.</p>
Data from: Urbanization and plant invasion alter the structure of litter microarthropod communities
<p>Anthropogenic activity underpins the creation of urban ecosystems, often with introduced or invasive species playing a large role in structuring ecological communities. While the effects of urbanization on charismatic taxa such as birds, bees or butterflies have received much attention, the impacts on small and inconspicuous organisms remain poorly understood.</p> <p>Here, we assess how the community structure of leaf litter-inhabiting microarthropods in city parks varies along an urbanization gradient in Toronto, Canada. At each park, we established paired forest understory plots which were either dominated by native vegetation or dog-strangling vine (<em>Vincetoxicum rossicum</em>), an invasive species that is spreading throughout northeastern North America and abundant in urban areas. We compared microarthropod richness, abundance, and diversity in ecological traits between invaded and non-invaded plots as well as compositional dissimilarities among plots across the urbanization gradient.</p> <p>We recorded 123 genera and found: i) there was a negative effect of urbanization on microarthropod richness and abundance but only in invaded plots; ii) richness and abundance increased continuously with urbanization in non-invaded plots, but peaked at intermediate urbanization levels in invaded plots; and iii) there was significant turnover with increasing urbanization, with distinct communities represented in highly urbanized areas compared to less urbanized areas, regardless of whether invaded. We also found litter microarthropod richness and abundance increased with soil ammonium and decreased with nitrate. These trends were especially strong for fungivorous microarthropods, however there was no relationship between soil nutrients and urbanization or invasion.</p> <p>Urbanization and biological invasion drive biodiversity change, and there is a need to disentangle these effects on ecological communities and related ecosystem processes. We show microarthropod communities change with urbanization, with the effects of invasion most prominent in non-urban areas. Here, there is high richness and abundance but low ecological trait diversity, possibly because certain feeding traits are excluded and others overrepresented.</p> <p>Understanding of urban ecological systems must include knowledge of the microarthropods that interact widely across food webs, form distinct communities in highly urban areas, and drive many of the important ecological functions upon which people in cities depend.</p>
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Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.