Effects of human land-use on the global carbon cycle during the last 6,000 years

Effects of human land-use on the global carbon cycle during the last 6,000 years
复制标题

DOI:
10.1007/s00334-007-0126-6
复制
发表时间:
2008-09
影响因子:
2.5
通讯作者:
J. Olofsson;T. Hickler
J. Olofsson;T. Hickler
中科院分区:
地球科学3区
文献类型:
--
作者:
J. Olofsson;T. Hickler

文献摘要

被引文献

相似文献

人类已经成为地球系统中的一个主要角色,特别是通过改变大部分陆地表面和改变大气的气体成分。为农业目的砍伐森林始于数千年前,可能早于工业革命就对气候产生了可察觉的人类影响。这项研究首次尝试估计过去6,000年来人类土地利用对全球碳循环的影响。开发了这一时期永久性和非永久性农业分布情况的全球网格化数据集,并将其纳入隆德-波茨坦-耶拿动态全球植被模型。该模型在有和没有人类土地使用的情况下运行,陆地碳储存的差异被计算为对人类向大气排放碳的估计。工业化时期(公元1850 -1990年)的模拟碳排放总量为148千兆吨碳(GtC),其中33 GtC来自非永久性农业。在前工业时代(公元前4000年至公元1850年),永久性农业的净碳释放量为79 GtC,非永久性农业的净碳释放量为35 GtC。模拟的工业化前的碳排放大大低于对气候系统产生重大影响所需的水平。
Humanity has become a major player within the Earth system, particularly by transforming large parts of the land surface and by altering the gaseous composition of the atmosphere. Deforestation for agricultural purposes started thousands of years ago and might have resulted in a detectable human influence on climate much earlier than the industrial revolution. This study presents a first attempt to estimate the impact of human land-use on the global carbon cycle over the last 6,000 years. A global gridded data set for the spread of permanent and non-permanent agriculture over this time period was developed and integrated within the Lund-Potsdam-Jena Dynamic Global Vegetation Model (LPJ-DGVM). The model was run with and without human land-use, and the difference in terrestrial carbon storage was calculated as an estimate of anthropogenic carbon release to the atmosphere. The modelled total carbon release during the industrial period (a.d.1850–1990) was 148 gigatons of carbon (GtC), of which 33 GtC originated from non-permanent agriculture. For pre-industrial times (4000b.c.–a.d.1850), the net carbon release was 79 GtC from permanent agriculture with an additional 35 GtC from non-permanent agriculture. The modelled pre-industrial carbon release was considerably lower than would be required for a substantial influence on the climate system.