five

NPP BOREAL FOREST: CONSISTENT WORLDWIDE SITE ESTIMATES, 1977-1994

收藏
DataONE2012-07-12 更新2024-06-27 收录
下载链接:
https://search.dataone.org/view/scimeta_611.xml
下载链接
链接失效反馈
官方服务:
资源简介:
The NPP Database contains documented field measurements of NPP for global terrestrial sites compiled from published literature and other extant data sources. The NPP Database contains biomass dynamics, climate, and site-characteristics data georeferenced to each intensive site. A major goal of the data compilation is to use consistent and standard well-documented methods to estimate NPP from the field data. Other important components of the database include a summary, investigator contact information, and a list of key references for each site. As far as possible, the original principal investigator or his/her successor has been contacted to review the data and documentation. The NPP Database currently contains detailed data for over 60 intensive study sites. A majority of these sites are grasslands, the remainder being tropical forests, boreal forests, and tundra study sites. Some combination of above-ground annual peak live biomass data and/or seasonal biomass dynamics data are available for all sites. Many sites also have data on below-ground biomass and/or turnover. Estimates of net primary productivity are included, where available, for individual sites, and as part of the NPP Summary tables. Climate and soils data are available for all sites in varying degrees of detail. The sites have been grouped according to vegetation maps based upon Bailey ecoregions, Holdridge Life-Zones, Matthews vegetation classes, and Olson World Ecosystem Complexes. Previously compiled multi-site data sets of georeferenced NPP estimates are also provided. NPP estimates are available from a number of different collections, containing more than 1700 sites but with less information available for each individual site as compared to the intensive sites. Records for these sites typically include an NPP value, latitude and longitude, original source of the data, and sometimes information on vegetation type, management, soils, and local climate. More information on the entire Net Primary Productivity Project can be found at the NPP home page, with links to further details on individual study sites or multi-site collections. Users are encouraged to browse these Web pages to find details of original studies, methodologies, and original research contacts. NPP data are available on-line from the ORNL Distributed Active Archive Center, Oak Ridge National Laboratory, Oak Ridge, Tennessee, U.S.A. Data Citation: Cite the data sets using the following reference format: Author, P. A., and M. B. Author. Year. Data Set Title. Available on-line from Oak Ridge National Laboratory Distributed Active Archive Center, Oak Ridge, Tennessee, U.S.A. For example: Williamson, P., and J. Pitman. 1999. NPP Grassland: Beacon Hill, U.K. 1972-1973. Available on-line from Oak Ridge National Laboratory Distributed Active Archive Center, Oak Ridge, Tennessee, U.S.A.

本净初级生产力(Net Primary Productivity,NPP)数据库收录了来自已发表文献及其他现存数据源的全球陆地样地NPP野外实测记录,所有数据均经过规范归档。该数据库包含针对每个集约研究样地的地理编码生物量动态、气候及样地特征数据。本数据集汇编的核心目标之一,是采用统一、规范且记录完备的方法,基于野外实测数据估算NPP。数据库的其他重要组成部分还包括各研究样地的概况、调查人员联系方式以及关键参考文献列表。我们已尽可能联系原始首席研究员或其继任者,对数据及归档材料进行审核校验。 截至目前,本NPP数据库共收录60余个集约研究样地的详细数据。其中多数样地为草地,剩余样地涵盖热带森林、寒温带森林与冻原研究样地。所有样地均提供部分组合数据,包括地上年峰值活生物量数据、季相生物量动态数据,或二者兼具。多数样地还提供地下生物量及/或周转速率相关数据。若有可用数据,各单一样地的NPP估算值将收录于数据库,同时也会纳入NPP概况表中。所有样地均提供不同详细程度的气候与土壤数据。本数据库依据植被地图对样地进行分组,分组标准涵盖Bailey生态区、Holdridge生命带、Matthews植被分类以及Olson全球生态系统复合体。 数据库同时提供此前已汇编的地理编码NPP估算多样地数据集。另有多个不同合集提供NPP估算数据,涵盖1700余个样地,但相较于集约样地,每个单一样地附带的信息相对有限。此类样地的记录通常包含NPP数值、经纬度、数据原始来源,部分样地还附带植被类型、管理措施、土壤及局地气候相关信息。 有关整个净初级生产力项目的更多信息,可访问NPP主页获取,该主页包含各单个研究样地或多样地数据集的详细信息链接。我们鼓励用户浏览此类网页,以获取原始研究、研究方法及原始研究联系人的相关细节。NPP数据可通过美国田纳西州橡树岭国家实验室(Oak Ridge National Laboratory, ORNL)分布式主动存档中心在线获取。 数据引用规范:请按照以下格式引用本数据集: 作者,P.A. 与作者,M.B. 年份. 数据集标题. 可从美国田纳西州橡树岭国家实验室分布式主动存档中心在线获取。 示例:Williamson, P. 与J. Pitman. 1999. 草地NPP:英国比肯希尔,1972-1973. 可从美国田纳西州橡树岭国家实验室分布式主动存档中心在线获取。
创建时间:
2012-07-13
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