five

Datasets from: Tropical forest aboveground productivity is maintained by nutrients cycled in litter

收藏
NIAID Data Ecosystem2026-05-01 收录
下载链接:
https://figshare.com/articles/dataset/Datasets_from_Tropical_forest_aboveground_productivity_is_maintained_by_nutrients_cycled_in_litter/24746235
下载链接
链接失效反馈
官方服务:
资源简介:
Datasets used in: Tropical forest aboveground productivity is maintained by nutrients cycled in litter Journal of Ecology (JEcol-2023-0461.R1) Authors: Sayer, EJ, Leitman SF, Wright SJ, Rodtassana C, Vincent AG, Bréchet LM, Castro B, Lopez O, Tanner EVJ File 1: GLMP_TreeData01-17_Sayer_et_al_JEcol2023.csv Tree measurements for eight two-year census intervals from 2001 to 2017 in long-term litter manipulation plots in Panama, Central America. COLUMNS & ABBREVIATIONS OBJECTID -> unique consecutive number for each individual tree treatm -> experimental treatment, where CT is control, LA is litter addition and LR is litter removal block -> replicate block, given as letters A-E plot -> plot number, given as numbers 1-15 species -> species code following mnemonics used in Condit et al. 2019 location -> location of an individual within a given plot, where TR indicates a location within 2-m of a trench (plot edge); MP indicates trees located within the inner 30-m x 30-m measurement plot and BZ indicates a location outside the measurement plot but more than 2-m from the nearest trench. ACCaggr -> Mean score for measurement accuracy across all census intervals, where 1 is repeatable with high accuracy, 2 is repeatable with good accuracy and 3 is an inaccurate measurement due to obstructions exclude -> Y = measurement was excluded from analysis census -> measurement census interval, giving the first and last year of each interval between 2001 and 2017 year -> first year of each census interval timestep -> time variable used for analysis, where the pretreatment census interval (2001-2003) is step 0, and subsequent census intervals after the start of measurement are numbered consecutively from 1-7. wsg -> wood specific gravity measurements (grams per cm3 dry weight) from Condit et al. 2019 fun.gr -> functional group based on species’ recruitment responses to light according to Rüger et al. 2009, where ACC is accelerating species, DEC is decelerating species and NEG is negative species light.ef -> light effect values (unitless) following Rüger et al. 2009 initial.dbh -> measured DBH at the start of each census interval mm.yr -> absolute growth rate in mm per year survival -> tree survival where 1 indicates that the tree survived a given census interval and 0 indicates that the tree dies during the census interval. File 2: GLMP_Litterfall03-09_Sayer_et_al_JEcol2023.csv Litterfall data for 2003 to 2019, collected monthly from litter traps (0.76 x 0.76 m) in long-term litter manipulation plots in Panama, Central America. COLUMNS & ABBREVIATIONS treatm -> experimental treatment, where CT is control, LA is litter addition and LR is litter removal block -> replicate block, given as letters A-E plot -> plot number, given as numbers 1-15 trap -> trap number (from 1-10) identifying individual traps within each plot year -> year of collection month -> month of litter collection date -> date of sample collection - usually the last Thursday in each month days.accum -> number of days between consecutive collections mass.g.trap -> dry weight of the litter in grams per trap time.step -> time variable used for analysis, where the first year of experimental treatments (2003) is step 0, and subsequent years after the start of treatments are numbered consecutively from 1-16. References Condit, R. et al. (2019). Complete data from the Barro Colorado 50-ha plot: 423617 trees, 35 years [Dataset]. Dryad. https://doi.org/10.15146/5xcp-0d46 Rüger, N., Huth, A., Hubbell, S. P., & Condit, R. (2009). Response of recruitment to light availability across a tropical lowland rain forest community. Journal of Ecology, 97, 1360-1368.
创建时间:
2023-12-07
5,000+
优质数据集
54 个
任务类型
进入经典数据集
二维码
社区交流群

面向社区/商业的数据集话题

二维码
科研交流群

面向高校/科研机构的开源数据集话题

数据驱动未来

携手共赢发展

商业合作