# Legacy effects of canopy gaps on liana abundance 25 years later in a seasonal tropical evergreen forest in northeastern Thailand --- Yutaro Fujimoto1, Mamoru Kanzaki1, Ponthep Meunpong2, Chongrak Wachrinrat2, Surachit Waengsothorn3 and Kaoru Kitajima1 1 Graduate School of Agriculture, Kyoto University, Kyoto, Japan 2 Faculty of Forestry, Kasetsart University, Bangkok, Thailand 3 Sakaerat Environmental Research Station, Thailand Institute of Scientific and Technological Research, Nakhon Ratchasima, Thailand Corresponding author: Yutaro Fujimoto (fujimoto.yutaro.24w@kyoto-u.jp) ## Description of the Data This is a dataset we used in Fujimoto et al. (2023) Biotropica. It includes three files as described below. ### "Liana_census.csv" Raw data of a liana census conducted in a 50 m × 500 m plot at the Sakaerat Biosphere Reserve in 2017-2018. All the lianas were surveyed in 50 subplots (10 m × 10 m each) regularly spaced to subsample 20% of the entire plot. Each subplot is divided into 5 m × 5 m quadrats. plot_x: x coordinate of the subplot (m) plot_y: y coordinate of the subplot (m) quad: quadrat identity within the subplot (a, b, c, and d counterclockwisely from the northwest quadrat) x_liana: x coordinate of the liana (m) y_liana: y coordinate of the liana (m) indNo: ID of the liana individual (unique number for each individual) stemNo: ID of the liana stem (unique number for each stem within the individual) tagNo: tag number spCode: 6-letter species code of the liana (see "Species_code.csv") M: type of the point of measurement (see Gerwing et al. 2006 Biotropica and Schnitzer et al. 2008 Forest Ecology and Management) DBH: diameter at breast height (DBH) of the liana stem (cm) hostNo: ID of the host plant x_host: x coordinate of the host (m) y_host: y coordinate of the host (m) spCode_host: 6-letter species code of the host DBH_host: DBH of the host (cm) Remarks: remarks ### "Quadrat_data.csv" 5 m × 5 m quadrat-based data. The canopy height class is divided into three classes: mature (canopy height ≥ 20 m), building (10-20 m), and gap (< 10 m). plot_x: x coordinate of the subplot (m) plot_y: y coordinate of the subplot (m) quad: quadrat identity within the subplot (a, b, c, and d counterclockwisely from the northwest quadrat) class1993: canopy height class of the quadrat in 1993 (M: mature, B: building, G: gap) class2018: canopy height class of the quadrat in 2018 (M: mature, B: building, G: gap) class1993_2: canopy height class of the quadrat in 1993 (M: mature, BG: building/gap) class2018_2: canopy height class of the quadrat in 2018 (M: mature, BG: building/gap) N_liana: the number of liana individuals in the quadrat N_liana_stem: the number of liana stems in the quadrat BA_liana: basal area of liana stems in the quadrat (cm2) N_tree: the number of tree individuals in the quadrat N_tree_5: the number of tree individuals with DBH ≥ 5 and < 10 cm in the quadrat N_tree_10: the number of tree individuals with DBH ≥ 10 cm in the quadrat BA_tree: basal area of tree stems in the quadrat (cm2) ### "Species_code.csv" List of 6-letter species codes used in "Liana_census.csv" and corresponding scientific names. life_form: life form of the species spCode: 6-letter species code species: scientific name of the species family: family of the species synonym: synonym of the species ## Data Derivation Any data related to trees and canopy height (in 1993) were derived from "Kanzaki, M., Kawaguchi, H., Kiyohara, S., Kajiwara, T., Kaneko, T., Ohta, S., Sungpalee, W., & Wachrinrat, C. (2009). Long-term study on the carbon storage and dynamics in a tropical seasonal evergreen forest of Thailand. In L. Puangchit & S. Diloksumpun (Eds.), FORTROP II: Tropical Forestry Change in a Changing World (Vol. 2, pp. 35–51). Bangkok, Thailand: Royal Forest Department and Kasetsart University Faculty of Forestry".