Global planted forest data for timber species

Discerning whether certain timber species were harvested from natural
forests versus less restricted planted forests can help ascertain the
legality of wood products that enter the global market. However, readily
available global planted forest data to the species level have been
scarce. We confronted the need for such data by developing a two-pronged
dataset, consisting of ‘polygon’ and ‘non-polygon’ location-based data,
collectively, Planted Forest Timber Data. We obtained the polygon data
from the World Resources Institute’s Spatial Database of Planted Trees
v2.0, extracting data specific to traded timber species. We derived the
non-polygon data from peer-reviewed literature and government documents.
The polygon dataset encompasses 27 countries and 253 species and the
non-polygon dataset spans 91 countries and 447 species. The polygon data
are stored among 27 geopackages, one for each country. Each summarized row
of polygon data contains up to 13 possible fields. The non-polygon data
are housed within one main file, with each row of data including up to 28
possible fields. Both datasets also include summaries of independent
evidence for a species growing in the specified countries. We envision
that the more these two living datasets grow, the more they will mutually
benefit from one another for data cross-validation. This assembled
information is meant to equip global leaders in forest governance, policy,
enforcement, and research with vetted data for promoting legal timber
trade and protecting biodiversity.

甄别特定木材树种的采伐来源为天然林还是限制较少的人工林，有助于判定进入全球市场的木制品的合法性。然而，当前可便捷获取的、达到物种级别的全球人工林数据仍较为匮乏。为此，我们开发了一套双分支数据集以填补这一数据缺口，该数据集包含基于位置的‘面要素（polygon）’与‘非面要素（non-polygon）’两类数据，合称为人工林木材数据集（Planted Forest Timber Data）。我们从世界资源研究所（World Resources Institute）的《人工林空间数据库v2.0》（Spatial Database of Planted Trees v2.0）中获取面要素数据，并提取其中与商用木材树种相关的信息。非面要素数据则来源于同行评议文献与政府公开文件。面要素数据集涵盖27个国家、253个树种，非面要素数据集则覆盖91个国家、447个树种。面要素数据以27个地理数据包（geopackage）存储，每个国家对应一个数据包。每条汇总后的面要素数据行最多包含13个可选字段。非面要素数据收纳于一个主文件中，每条数据行最多包含28个可选字段。两类数据集还均包含对应物种在指定国家生长的独立佐证信息汇总。我们预期，这两套动态更新的数据集规模越大，越能通过相互交叉验证实现互利共赢。本整合数据集旨在为全球森林治理、政策制定、执法与科研领域的从业者提供经过审核的可靠数据，以推动合法木材贸易并保护生物多样性。