Global Wood Density Database v.2 (GWDD v.2)

离群值 树皮(声音) 人口密度 联合密度 种内竞争 地理参考 原始数据 密度估算 生物量(生态学) 环境科学 数据库 概率密度函数 森林资源清查 二项式(多项式) 数学 生态学 最大密度 生物 统计 森林经营 全球生物多样性 地理
作者
Fabian Jörg Fischer,J. Chave,Amy Zanne,Tommaso Jucker,Alex Fajardo,Adeline Fayolle,Renato Augusto Ferreira de Lima,Ghislain Vieilledent,Hans Beeckman,Wannes Hubau,Tom De Mil,Daniel Wallenus,Ana María Aldana,Álvarez-Dávila Esteban,Luciana Alves,Deborah M. G. Apgaua,Fátima Arcanjo,Jean-Francois Bastin,Andrii Bilous,Philippe Birnbaum
出处
期刊:Spanish National Research Council (CSIC) - DIGITAL.CSIC [Consejo Superior de Investigaciones Científicas]
被引量:1
标识
DOI:10.5281/zenodo.18262736
摘要

The Global Wood Density Database v.2 The Global Wood Density Database v.2 (GWDD v.2) is a collection of 109,626 taxonomically standardized wood density records and 15,093 additional bark density records. Data include measurements at different levels of aggregation (individual, species) and both georeferenced records and values from the literature. For a full description of the database, please see the corresponding manuscript. (Fischer et al. 2026. Beyond species means – the intraspecific contribution to global wood density variation. New Phytol. https://doi.org/10.1111/nph.70860). It includes and supersedes the GWDD v.1 (Zanne et al. 2009, https://doi.org/10.5061/dryad.234). When using the GWDD v.2 in your work, please cite Fischer et al. 2026 as well as this repository using the corresponding DOI (10.5281/zenodo.16919509). If you would like to report an issue or suggest improvements for future updates of the GWDD, please do so on github: https://github.com/fischer-fjd/GWDD/issues Aggregated wood density data We provide pre-aggregated wood density data, with wood density estimates at species, binomial species and genus level. Wood density estimates are derived from hierarchical (random effects) models and provided both as simple species mean values (wsg_est) and as species mean values for trunks (wsg_est_trunk) and branches (wsg_est_branch) separately. In addition, we provide raw wood density means (wsg_raw), but we do not recommend using them for practical purposes due to outliers for poorly sampled species. gwddagg_v2.x_species: pre-aggregated wood density values for 17,261 species, including infraspecific epithets; comprises 16,828 taxonomically resolved species well as 433 values with uncertain taxonomic status gwddagg_v2.x_binomial: pre-aggregated wood density values for 16,905 binomial species gwddagg_v2.x_genus: pre-aggregated wood density values for 3,198 genera Raw wood density data In addition, we also provide the underlying raw wood density database. This collection contains one metadata file and raw data files in .csv format. Since special characters (e.g., in the references) can be distorted by operating systems when reading in .csv files, we also provide all data in .RData format, which can be loaded into R with the load() function. columns_gwdd_v2.x: metadata for all the columns included in the GWDD v.2 gwdd_v2.x: the GWDD v.2, including all 109,626 wood density records gwdd_v2.x_withbark: the GWDD v.2, including all 109,626 wood density records and 15,093 additional bark density records

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
白白粥发布了新的文献求助10
刚刚
缥缈的水彤完成签到,获得积分10
刚刚
科研通AI6.4应助你好耀眼采纳,获得10
1秒前
chen完成签到,获得积分10
2秒前
malizewski发布了新的文献求助10
3秒前
3秒前
4秒前
徐得胜完成签到 ,获得积分10
4秒前
林小鱼完成签到,获得积分10
4秒前
4秒前
得意黑完成签到,获得积分10
4秒前
gugugu完成签到,获得积分10
5秒前
乐乐应助眨眼采纳,获得10
5秒前
5秒前
5秒前
红豆子发布了新的文献求助10
5秒前
zZ完成签到,获得积分10
5秒前
6秒前
7秒前
知安发布了新的文献求助10
9秒前
打打应助苹果采纳,获得10
9秒前
Hermione发布了新的文献求助10
9秒前
9秒前
今夕何夕应助太阳雨采纳,获得10
9秒前
9秒前
hcx123456完成签到 ,获得积分10
10秒前
可乐wutang发布了新的文献求助10
10秒前
天天快乐应助霖槿采纳,获得10
11秒前
haha完成签到 ,获得积分10
11秒前
11秒前
11秒前
11秒前
komorebi发布了新的文献求助10
11秒前
纪予舟完成签到 ,获得积分10
11秒前
讴歌发布了新的文献求助30
12秒前
林雯青发布了新的文献求助10
12秒前
zys完成签到,获得积分10
15秒前
15秒前
16秒前
16秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Essentials of Carbohydrate Chemistry and Biochemistry, 4th Edition 800
Organizational Behavior 510
Management and the Arts 510
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
CLSI VET01S-2024 Performance Standards for Antimicrobial Disk and Dilution Susceptibility Tests for Bacteria Isolated From Animals (7th Ed) 500
A Case Study on Hotels as Noncongregate Emergency Living Accommodations for Returning Citizens 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 计算机科学 化学工程 工程类 有机化学 物理 复合材料 生物化学 内科学 细胞生物学 基因 遗传学 免疫学 冶金 光电子学 癌症研究
热门帖子
关注 科研通微信公众号,转发送积分 7764508
求助须知:如何正确求助?哪些是违规求助? 9308685
关于积分的说明 20307683
捐赠科研通 7349167
什么是DOI,文献DOI怎么找? 3314427
关于科研通互助平台的介绍 2463919
邀请新用户注册赠送积分活动 2328618