five

HANPP Collection: Human Appropriation of Net Primary Productivity (HANPP) by Country and Product

收藏
DataCite Commons2024-12-15 更新2025-04-09 收录
下载链接:
https://earthdata.nasa.gov/data/catalog/sedac-ciesin-sedac-hanpp-cprod-1.00
下载链接
链接失效反馈
官方服务:
资源简介:
The Human Appropriation of Net Primary Productivity (HANPP) by Country and Product portion of the HANPP Collection contains tabular data on carbon-equivalents of consumption by country and by type of product. The data were compiled from national-level FAO statistics on consumption of products such as vegetables, meat, paper, and wood. HANPP represents the amount of carbon required to derive food and fibre products consumed by humans including organic matter that is lost during harvesting and processing. Net primary productivity (NPP), the net amount of solar energy converted to plant organic matter through photosynthesis, can be measured in units of elemental carbon and represents the primary food energy source for the world's ecosystems. These tabular data were used to allocate country level NPP consumption to a spatial surface of NPP consumption (Global Patterns in Human Appropriation of Net Primary Productivity), which is part of this collection. This data set is distributed by the Columbia University Center for International Earth Science Information Network (CIESIN).

《人类净初级生产力占用量(Human Appropriation of Net Primary Productivity, HANPP)》数据集的国家与产品分项部分,收录了按国家及产品类型划分的消费碳当量表格数据。本数据集的数据整理自联合国粮食及农业组织(Food and Agriculture Organization, FAO)的国家级消费统计资料,涵盖蔬菜、肉类、纸张与木材等品类。HANPP指人类消费食品与纤维产品所需的总碳量,包含收获及加工过程中损耗的有机物质对应的碳当量。净初级生产力(Net Primary Productivity, NPP)是通过光合作用将太阳能转化为植物有机物质的净总量,可按元素碳单位进行计量,是全球生态系统的核心食物能量来源。本分项的表格数据被用于将国家级NPP消费量分配至NPP消费的空间分布面(即《人类净初级生产力占用量全球格局》数据集),该数据集同样属于本合集的组成部分。本数据集由哥伦比亚大学国际地球科学信息网络中心(Center for International Earth Science Information Network, CIESIN)发布。
提供机构:
Palisades, NY: NASA Socioeconomic Data and Applications Center (SEDAC)
创建时间:
2014-04-03
搜集汇总
数据集介绍
main_image_url
以上内容由遇见数据集搜集并总结生成
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