Factoring out natural and indirect human effects on terrestrial carbon sources and sinks

被引:123
作者
Canadell, Josep G.
Kirschbaum, Miko U. F.
Kurz, Werner A.
Sanz, Maria-Jose
Schlamadinger, Bernhard
Yamagata, Yoshiki
机构
[1] CSIRO Marine & Atmospher Res, Global Carbon Project, Canberra, ACT 2601, Australia
[2] Australian Natl Univ, Environm Biol Grp, RSBS, Canberra, ACT 2601, Australia
[3] CRC Greenhouse Canada, Canadian Forest Serv, Canberra, ACT 2601, Australia
[4] Fdn CEAM, Valencia 46980, Spain
[5] Joanneum Res, A-8010 Graz, Austria
[6] Natl Inst Environm Studies, Ctr Global Environm Res, Tsukuba, Ibaraki 3058506, Japan
关键词
AFOLU; carbon cycle; forests; Kyoto protocol; LULUCF; Marrakesh accords; C sink processes; C source processes; factoring out;
D O I
10.1016/j.envsci.2007.01.009
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
The capacity to partition natural, indirect, and direct human-induced effects on terrestrial carbon (C) sources and sinks is necessary to be able to predict future terrestrial C dynamics and thus their influence on atmospheric CO2 growth. However, it will take a number of years before we can better attribute quantitative estimates of the contribution of various C processes to the net C balance. In a policy context, factoring out natural and indirect human-induced effects on C sources and sinks from the direct human-induced influences, is seen as a requirement of a C accounting approach that establishes a clear and unambiguous connection between human activities and the assignment of C credits and debits. We present options for factoring out various groups of influences including climate variability, CO2 and N fertilization, and legacies from forest management. These are: (i) selecting longer accounting or measurement periods to reduce the effects of inter-annual variability; (ii) correction of national inventories for inter-annual variability; (iii) use of activity-based accounting and C response curves; (iv) use of baseline scenarios or benchmarks at the national level; (v) stratification of the landscape into units with distinct average C stocks. Other, more sophisticated modeling approaches (e.g., demographic models in combination with forest inventories; process-based models) are possible options for future C accounting systems but their complexity and data requirements make their present adoption more difficult in an inclusive international C accounting system. (c) 2007 Elsevier Ltd. All rights reserved.
引用
收藏
页码:370 / 384
页数:15
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