Literature DB >> 25898604

[Estimation for vegetation carbon storage in Tiantong National Forest Park].

Chun-Zi Guo, Yang-Yang Wu, Jian Ni.   

Abstract

Based on the field investigation and the data combination from literature, vegetation carbon storage, carbon density, and their spatial distribution were examined across six forest community types (Schima superba--Castanopsis fargesii community, S. superba--C. fargesii with C. sclerophylla community, S. superba--C. fargesii with Distylium myricoides community, Illicium lanceolatum--Choerospondias axillaris community, Liquidambar formosana--Pinus massoniana community and Hedyotis auricularia--Phylostachys pubescens community) in Tiantong National Forest Park, Zhejiang Province, by using the allometric biomass models for trees and shrubs. Results showed that: Among the six communities investigated, carbon storage and carbon density were highest in the S. superba--C. fargesii with C. sclerophylla community (storage: 12113.92 Mg C; density: 165.03 Mg C · hm(-2)), but lowest in the I. lanceolatum--C. axillaris community (storage: 680.95 Mg C; density: 101.26 Mg C · hm(-2)). Carbon storage was significantly higher in evergreen trees than in deciduous trees across six communities. Carbon density ranged from 76.08 to 144.95 Mg C · hm(-2), and from 0. 16 to 20. 62 Mg C · hm(-2) for evergreen trees and deciduous trees, respectively. Carbon storage was highest in stems among tree tissues in the tree layer throughout communities. Among vegetation types, evergreen broad-leaved forest had the highest carbon storage (23092.39 Mg C), accounting for 81.7% of the total carbon storage in all forest types, with a car- bon density of 126.17 Mg C · hm(-2). Total carbon storage for all vegetation types in Tiantong National Forest Park was 28254.22 Mg C, and the carbon density was 96.73 Mg C · hm(-2).

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Year:  2014        PMID: 25898604

Source DB:  PubMed          Journal:  Ying Yong Sheng Tai Xue Bao        ISSN: 1001-9332


  1 in total

1.  A Carbon Cycle Model for the Social-Ecological Process in Coastal Wetland: A Case Study on Gouqi Island, East China.

Authors:  Yanxia Li; Lihu Xiong; Wenjia Zhu
Journal:  Scientifica (Cairo)       Date:  2017-02-14
  1 in total

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