干旱区生态环境知识资源中心(Arid): Models to estimate the above and below ground carbon stocks from a subtropical scrub forest of Pakistan

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DOI	10.1016/j.gecco.2021.e01539
	Models to estimate the above and below ground carbon stocks from a subtropical scrub forest of Pakistan
	Siddiq, Zafar; Hayyat, Muhammad Umar; Khan, Amin U.; Mahmood, Rashid; Shahzad, Laila; Ghaffar, Rabia; Cao, Kun-Fang
通讯作者	Siddiq, Z (corresponding author), Govt Coll Univ, Dept Bot, Lower Mall, Lahore 54000, Pakistan. ; Cao, KF (corresponding author), Guangxi Univ, Coll Forestry, Guangxi Key Lab Forest Ecol & Conservat, State Key Lab Conservat & Utilizat Subtrop Agrobi, Nanning 530005, Peoples R China.
来源期刊	GLOBAL ECOLOGY AND CONSERVATION
ISSN	2351-9894
出版年	2021
卷号	27
英文摘要	Despite an increased number of studies on carbon stock estimates from tropical and temperate forests, little information is available for subtropical forests, although they constitute a significant proportion of global forest cover. In this present study, we aimed to assess the above-and below ground biomass allocation strategies and carbon stocks of Acacia modesta and Olea ferruginea, which co-dominate a subtropical dry forest in Pakistan covering approximately 1.6 Mha. This scrub forest has been subjected to mining, overgrazing, and other anthropogenic activities resulting in the loss of trees and habitat degradation. For the assessment of biomass and carbon stock, 11 trees of each species representing the diameter range of 10-52 cm at 1.3 m height were harvested. The harvested A. modesta and O. ferruginea trees showed 80% and 82% of biomass in the above-ground parts and 20% and 18% to below ground parts respectively. We developed power models from the destructive harvest data for both the above-and below-ground biomass components to assess the tree-level carbon. Furthermore, we also estimated the carbon content in the leaves, roots, and shoots of both species by using a carbon analyzer, which ranged from 43.42% to 46.50%. Using the developed models, we found that the total carbon stock was 49.82 t ha(-1) in the studied forest with a basal area of 27 m(2) ha(-1), consisting of 568 trees ha(-1). This study provides useful information about the tissue carbon content, on-site models for estimating the above-and below ground biomass and carbon stock in two dominant species from a subtropical dry forest, which can be applied to estimate the carbon stock of forests in arid climate. (C) 2021 The Authors. Published by Elsevier B.V.
英文关键词	Biomass allocation Carbon content Dry subtropical forest
类型	Article
语种	英语
开放获取类型	gold
收录类别	SCI-E
WOS记录号	WOS:000663457000009
WOS关键词	ALLOMETRIC BIOMASS EQUATIONS ; ABOVEGROUND TREE BIOMASS ; TROPICAL FORESTS ; EVERGREEN FOREST ; ALLOCATION ; STORAGE ; PLANTS ; SEQUESTRATION ; PLANTATIONS ; UNCERTAINTY
WOS类目	Biodiversity Conservation ; Ecology
WOS研究方向	Biodiversity & Conservation ; Environmental Sciences & Ecology
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/368730
作者单位	[Siddiq, Zafar; Khan, Amin U.] Govt Coll Univ, Dept Bot, Lower Mall, Lahore 54000, Pakistan; [Hayyat, Muhammad Umar; Shahzad, Laila] Govt Coll Univ, Sustainable Dev Study Ctr, Lower Mall, Lahore 54000, Pakistan; [Mahmood, Rashid] Govt MAO Coll Lahore, Punjab Higher Educ Dept, Dept Bot, Lahore 54000, Pakistan; [Ghaffar, Rabia] Univ Educ, Div Sci & Technol, Dept Bot, Lahore, Pakistan; [Cao, Kun-Fang] Guangxi Univ, Coll Forestry, Guangxi Key Lab Forest Ecol & Conservat, State Key Lab Conservat & Utilizat Subtrop Agrobi, Nanning 530005, Peoples R China
推荐引用方式 GB/T 7714	Siddiq, Zafar,Hayyat, Muhammad Umar,Khan, Amin U.,et al. Models to estimate the above and below ground carbon stocks from a subtropical scrub forest of Pakistan[J],2021,27.
APA	Siddiq, Zafar.,Hayyat, Muhammad Umar.,Khan, Amin U..,Mahmood, Rashid.,Shahzad, Laila.,...&Cao, Kun-Fang.(2021).Models to estimate the above and below ground carbon stocks from a subtropical scrub forest of Pakistan.GLOBAL ECOLOGY AND CONSERVATION,27.
MLA	Siddiq, Zafar,et al."Models to estimate the above and below ground carbon stocks from a subtropical scrub forest of Pakistan".GLOBAL ECOLOGY AND CONSERVATION 27(2021).