Simulating the productivity of a subalpine forest at high elevations under representative concentration pathway scenarios in the Qilian Mountains of northwest China

doi:10.1080/02827581.2016.1220615

ISWC OpenIR > 水保所科研产出--SCI > 2017--SCI

	Simulating the productivity of a subalpine forest at high elevations under representative concentration pathway scenarios in the Qilian Mountains of northwest China
	Peng, Shouzhang 1; Zhao, Chuanyan 1; Chen, Yunming 1; Xu, Zhonglin 1; Peng, SZ (reprint author), Northwest A&F Univ, State Key Lab Soil Eros & Dryland Farming Loess P, 26 Xinong Rd, Yangling 712100, Shaanxi, Peoples R China.
文章类型	Article
	2017
发表期刊	SCANDINAVIAN JOURNAL OF FOREST RESEARCH
ISSN	0282-7581
通讯作者邮箱	shouzhangpeng@gmail.com
卷号	32 期号:2 页码:166-173
摘要	The current work adopted the Biome-BioGeochemical Cycle model to simulate the net primary productivity (NPP) of a subalpine forest (Picea crassifolia forest) under four representative concentration pathway (RCP) scenarios in the Qilian Mountains of northwest China. This study also investigated the responses of forest's NPP to different combinations of climatic changes and CO2 concentration increase. Results showed that (1) under the RCP scenarios, greater increases in temperature, precipitation, and CO2 concentration caused larger increments in forest NPP; (2) the effect of CO2 concentration (increased NPP from 19.9% to 21.7%) was more significant than that of climate change (increased NPP from 7.5% to 17.1%); (3) the simultaneous increments in climatic change and atmospheric CO2 concentration led to a remarkable increase in P. crassifolia forest NPP (ranging from 33.1% to 41.3%), with the combination of the two exerting strong interactive effects on forest NPP; and (4) the response of the forest's NPP to future global change was more intense at high elevations than at low ones, with the temperature being the main factor controlling forest NPP variation at the high-elevation regions. These valuable predictions can help clarify how subalpine forest ecosystems respond to simultaneous or independent changes in climate and CO2 concentration.
关键词	Subalpine Forest Net Primary Productivity Global Change Rcp Scenario Biome-bgc
学科领域	Forestry
DOI	10.1080/02827581.2016.1220615
URL	查看原文
收录类别	SCI
出版地	OSLO
语种	英语
WOS记录号	WOS:000394662600008
出版者	TAYLOR & FRANCIS AS
项目资助者	National Natural Science Foundation of China [41601058, 91025015]; CAS "Light of West China" Program [XAB2015B07] ; National Natural Science Foundation of China [41601058, 91025015]; CAS "Light of West China" Program [XAB2015B07]
引用统计	被引频次：2[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	sbir.nwafu.edu.cn/handle/361005/8068
专题	水保所科研产出--SCI_2017--SCI
通讯作者	Peng, SZ (reprint author), Northwest A&F Univ, State Key Lab Soil Eros & Dryland Farming Loess P, 26 Xinong Rd, Yangling 712100, Shaanxi, Peoples R China.
作者单位	1.Northwest A&F Univ, State Key Lab Soil Eros & Dryland Farming Loess P, 26 Xinong Rd, Yangling 712100, Shaanxi, Peoples R China 2.Chinese Acad Sci, Inst Soil & Water Conservat, Yangling, Peoples R China 3.Minist Water Resources, Yangling, Peoples R China 4.Lanzhou Univ, Coll Pastoral Agr Sci & Technol, State Key Lab Grassland Agroecosyst, Lanzhou, Peoples R China 5.Xinjiang Univ, Coll Resource & Environm Sci, Urumqi, Peoples R China
推荐引用方式 GB/T 7714	Peng, Shouzhang,Zhao, Chuanyan,Chen, Yunming,et al. Simulating the productivity of a subalpine forest at high elevations under representative concentration pathway scenarios in the Qilian Mountains of northwest China[J]. SCANDINAVIAN JOURNAL OF FOREST RESEARCH,2017,32(2):166-173.
APA	Peng, Shouzhang,Zhao, Chuanyan,Chen, Yunming,Xu, Zhonglin,&Peng, SZ .(2017).Simulating the productivity of a subalpine forest at high elevations under representative concentration pathway scenarios in the Qilian Mountains of northwest China.SCANDINAVIAN JOURNAL OF FOREST RESEARCH,32(2),166-173.
MLA	Peng, Shouzhang,et al."Simulating the productivity of a subalpine forest at high elevations under representative concentration pathway scenarios in the Qilian Mountains of northwest China".SCANDINAVIAN JOURNAL OF FOREST RESEARCH 32.2(2017):166-173.