This readme file was generated on [2022-06-29] by [HERIMINO MANOA RAJAONARIVELO] GENERAL INFORMATION Title of Dataset: Pinus kesiya invasions in Tapia woodland Madagascar. Author/Principal Investigator Information Name: RAJAONARIVELO HERIMINO MANOA ORCID: https://orcid.org/0000-0001-8255-4602 Institution: Ecole Doctorale de Gestion des Ressources Naturelles et Développement Address: Ankatso - Antananarivo 101, Madagascar Email: manoaherimino@gmail.com Author/Associate or Co-investigator Information Name: Jean-Marc BOUVET ORCID: Institution: Centre de Coopération Internationale en Recherche Agronomiques et Développement Address: Ampandrianomby - Antananarivo 101, Madagascar Email: jean-marc.bouvet@cirad.fr Author/Alternate Contact Information Name: Olivier FLORES ORCID: Institution: Peuplements Végétaux et Bioagresseurs en Milieu Tropical, CIRAD Address: La Réunion, France Email: olivier.flores@univ-reunion.fr Date of data collection: <2018-09-24> Geographic location of data collection: <~1200, 47°6′55.7532″E, Arivonimamo, Itasy, Madagascar> Information about funding sources that supported the collection of the data: CIRAD SHARING/ACCESS INFORMATION Licenses/restrictions placed on the data: need to cite the author and publication when using the data Links to publications that cite or use the data: https://t.co/WeCUW3RPXd Was data derived from another source? No Recommended citation for this dataset: Rajaonarivelo, Herimino Manoa et al. (2022), Pinus kesiya invasions in Tapia woodland Madagascar, Dryad, Dataset, https://doi.org/10.5061/dryad.xsj3tx9g7 DATA & FILE OVERVIEW File List: Arivonimamoinvasions.csv This data represents the data about vegetation structure, site characteristics and propagule pressure in arivonimamo Additional related data collected that was not included in the current data package: the data brut being collected after forest inventory Are there multiple versions of the dataset? No METHODOLOGICAL INFORMATION Description of methods used for collection/generation of data: Data were collected from July to September 2017 in sampling plots selected and located a priori using a geographical information system (GIS) (Giorgis etal. 2011). We used a non-adaptive stratified method for sampling to avoid the overestimation of exotic plant abundance (Rew and Pokorny 2006). First, to char-acterize the Tapia woodland, we gathered SPOT-5 multispectral images of the area dated March 16th, 2011 with a 10m spatial resolution to showcase the vegetation layer. The map of present Tapia wood-land was then used to stratify forest patches based on the density of the canopy cover: 1-low density [0–40%], 2-medium density [40–70%], 3-high density [70–100%]. A supervised object-oriented approach was processed to obtain this classification. The num-ber of plots selected in each forest class was propor-tional to the frequency of the class in the area. In total, 375 plots of 100 m2 each was selected. These plots were placed on randomly positioned transects within forest patches, all transects being perpendic-ular to the patch edge. Each transect meas-ured 50m and consisted of 3 plots situated at 10m, 30m, and 50m starting from the edge of the patch. We used 5.64 m radius circular plots (100 m2) on which all present woody species were surveyed. Indi-vidual DBH (diameter at breast height) and height were measured for each individual above 1cm DBH, whereas smaller individuals below 1 cm DBH were only counted. https://t.co/WeCUW3RPXd Methods for processing the data: num. the number of the plots S. the number of species inside the plot Gtot. (Diameter at Breast Height)^2*PI()/4 Dtot. the mean of diameter at breast height of the tree Dpin. the existence/absence of pinus inside plot Gtap. the basal area of Uapaca bojeri inside the plot ftap. number of U bojeri inventoried/total number of inventoried species IVItap. the relative density + the relative basal area of tapia species hmoy. the mean height of trees in the plot R. R = H/ Hʹmax where Hʹmax = Log(S) nbpin_500m. The sum of adult pine around 500m from the plots according to the distance between geological position of plots and the pine Rarb. The percentage of tree cover, 1-low density [0–40%], 2-medium density [40–70%], 3-high density [70–100%] Rherb. The percentage of herbaceous cover, 1-low density [0–40%], 2-medium density [40–70%], 3-high density [70–100%] pente. The slope of the plot (%) topo. The position of the plot Top-1: valley bottom, Top-2: middle slope, Top-3: upper slope orient. The orientation of the plot E: East, W: west, N: north, S: south clust. The perturbation degree of the plot (1. disturbed, 2. low disturbed) plot. The position of the plot along the transect (pl_1: 10m, pl_2: 30m, pl_3: 50m) pincut. The existence of pinus cut on the plot (0: no, 1: yes) long. The longitudinal position of the plot lat. The latitudianl position of the plot alt. The altitude of the plot (meter) nbpinusA. The number of adult pine inside the plot (number) nbpinusR. The number of regeneration pine inside the plot (number) nbpinusSB. The number of seedling pine inside the plot (number) statutA. The occurrence of adult pine inside the plot (none: no invasion, invaded: presence of adult pine) statutR. The occurrence of regeneration pine inside the plot (none: no invasion, invaded: presence of regeneration pine) statutSB. The occurrence of seedling pine inside the plot (none: no invasion, invaded: presence of seedling pine) min_m. The nearest distance between the plot and the pine which is supposed to be the potential source (meter) Instrument- or software-specific information needed to interpret the data: the data were entered on excel and processed on R. People involved with sample collection, processing, analysis and/or submission: RAJAONARIVELO Herimino MANOA RAKOTOARISOA EMILSON DATA-SPECIFIC INFORMATION FOR: Arivonimamoinvasions.csv Number of variables: 29 Number of cases/rows: 376 Variable List: num. the number of the plots S. the number of species inside the plot (number) Gtot. the basal area of all the trees inside the plot(centimeter square per ha) Dtot. the mean of diameter at breast height of the tree (centimeter) Dpin. the existence/absence of pinus inside plot Gtap. the basal area of Uapaca bojeri inside the plot (in centimeter square per ha) ftap. the frequency of Uapaca bojeri inside the plot (in percentage) IVItap. indice de valeur d'importance(the relative density and relative basal area of tapia species) hmoy. the mean height of trees in the plot (meter) R. Pielou’s evenness index where R = H/ Hʹmax and Hʹmax = Log(S) nbpin_500m. The total number of adult pine around 500m from the plots (number) Rarb. The tree cover, 1-low density [0–40%], 2-medium density [40–70%], 3-high density [70–100%] (in percentage) Rherb. The herbaceous cover, 1-low density [0–40%], 2-medium density [40–70%], 3-high density [70–100%] (in percentage) pente. The slope of the plot (in percentage) topo. The position of the plot Top-1: valley bottom, Top-2: middle slope, Top-3: upper slope orient. The orientation of the plot E: East, W: west, N: north, S: south clust. The perturbation degree of the plot (by hierarchical clustering based on the following stand variables (DBH > 1cm) calculating with all surveyed species at plot level: tree mean diameter (d in cm), tree mean height (h in m), tree density (D tot), tree basal area (G tot), species richness (S). plot. The position of the plot along the transect pincut. The existence of pinus cut on the plot (number) long. The longitudinal position of the plot (decimal degree) lat. The latitudianl position of the plot (decimal degree) alt. The altitude of the plot (meter) nbpinusA. The number of adult pine inside the plot nbpinusR. The number of regeneration pine inside the plot nbpinusSB. The number of seedling pine inside the plot statutA. The occurrence of adult pine inside the plot statutR. The occurrence of regeneration pine inside the plot statutSB. The occurrence of seedling pine inside the plot min_m. The nearest distance between the plot and the pine which is supposed to be the potential source (meter)