A flexible method to determine the sensitive physical parameter combination for soil carbon under five plant types-Reference-Cited by-同舟云学术

A flexible method to determine the sensitive physical parameter combination for soil carbon under five plant types

Published:2017-08 Issue:8 Volume:8 Page:e01920
ISSN:2150-8925
Container-title:Ecosphere
language:en
Short-container-title:Ecosphere

Author:

Sun Guodong¹²,Mu Mu³

Affiliation:

1. State Key Laboratory of Numerical Modeling for Atmospheric Sciences and Geophysical Fluid Dynamics (LASG); Institute of Atmospheric Physics; Chinese Academy of Sciences; Beijing 100029 China

2. University of Chinese Academy of Sciences; Beijing 100049 China

3. Institute of Atmospheric Sciences; Fudan University; 220 Handan Road Shanghai 200433 China

Funder

National Natural Science Foundation of China

Publisher

Wiley

Subject

Ecology,Ecology, Evolution, Behavior and Systematics

Link

http://onlinelibrary.wiley.com/wol1/doi/10.1002/ecs2.1920/fullpdf

Reference49 articles.

1. Carbon-concentration and carbon-climate feedbacks in CMIP5 earth system models;Arora;Journal of Climate,2013

2. Parameter sensitivity analysis for different complexity land surface models using multicriteria methods;Bastidas;Journal of Geophysical Research,2006

3. Ecosystem carbon stocks and their changes in China's grasslands;Fang;Science China Life Sciences,2010

4. Assessing the sensitivity of a land-surface scheme to parameters used in tropical-deforestation experiments;Henderson-Sellers;Quarterly Journal of the Royal Meteorological Society,1992

5. CO2 fertilization in temperate FACE experiments not representative of boreal and tropical forests;Hickler;Global Change Biology,2008

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