DOI: 10.1016/j.foreco.2015.02.011
Scopus记录号: 2-s2.0-84924891369
论文题名: Quantifying the effect of sampling plot size on the estimation of structural indicators in old-growth forest stands
作者: Lombardi F. ; Marchetti M. ; Corona P. ; Merlini P. ; Chirici G. ; Tognetti R. ; Burrascano S. ; Alivernini A. ; Puletti N.
刊名: Forest Ecology and Management
ISSN: 0378-1127
出版年: 2015
卷: 346 起始页码: 89
结束页码: 97
语种: 英语
英文关键词: Beech forests
; Deadwood
; Forest structure
; Italy
; Survey simulation
Scopus关键词: Surveys
; Assessment protocols
; Beech forest
; Dead standing trees
; Deadwood
; Forest structure
; Italy
; Reliable assessment
; Structural feature
; Forestry
; census
; dead wood
; dominance
; estimation method
; old-growth forest
; stand structure
; succession
; tree
; Dead Wood
; Fagus
; Simulation
; Surveys
; Apennines
; Italy
; Italy
; Fagus
英文摘要: There is increasing awareness that structure-based indicators should be considered for assessing the biological value of late successional forests. In order to increase the unique habitat features critical for old-growth associated species, it is important to identify and rank candidate potential forest sites on the basis of their distinctive structural features. Data on living and deadwood components for the identification of old-growth condition are usually acquired in the considered forest stands by two sampling survey: (i) census performed in relatively large monitoring sites; (ii) network of small sampling units, on which inventory practices are usually based. Several authors argued that choosing between these survey strategies might have substantial effects on the values of common indicators of old-growth condition. Our study aims at (i) assessing the total estimate differences among old-growth structural indicators measured in field plots with different sizes, and (ii) defining the optimal sample size for the reliable assessment of such indicators. The study was carried out in six beech dominated forest stands on the Apennines range in Italy. In each stand, living and deadwood components were surveyed and geocoded in 1-ha square areas. Based on these dataset, circular plots with radii ranging from 4m up to 20m were then considered in order to quantify the effect of sampling plot size on the estimation of four structural indicators: (1) number of living trees; (2) number of large trees (dbh≥50cm); (3) total deadwood volume; (4) number of deadwood elements (snags, dead standing trees; lying dead trees, lying deadwood) with dbh (or average diameter for lying deadwood) ≥ 30cm. We found that the size of the sampling plots should be at least 500 m2 in order to establish a database for the assessment of the investigated indicators. The census approach should be preferred to the sampling plot approach for old-growth forest stands smaller than 3-5ha. The achieved results contribute to define assessment protocols for characterizing and ranking the degree to which forest stands approximate old-growth condition based on standardized indicators. © 2015 Elsevier B.V. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/65475
Appears in Collections: 影响、适应和脆弱性
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作者单位: Università del Molise, Dipartimento di Bioscienze e Territorio (DIBT), C.da Fonte Lappone, Pesche (IS), Italy; Consiglio per la Ricerca in Agricoltura e l'Analisi dell'Economia Agraria, Forestry Research Centre (CRA-SEL), Viale Santa Margherita 80, Arezzo, Italy; Dipartimento di Gestione dei Sistemi Agrari, Alimentari e Forestali - GESAAF, Via San Bonaventura, Firenze, Italy; The EFI Project Centre on Mountain Forests (MOUNTFOR), Edmund Mach Foundation, San Michele all'Adige, Via Edmund Mach 1, Italy; Sapienza Università di Roma, Dipartimento di Biologia Ambientale (DBA), P.le Aldo Moro 5, Roma, Italy
Recommended Citation:
Lombardi F.,Marchetti M.,Corona P.,et al. Quantifying the effect of sampling plot size on the estimation of structural indicators in old-growth forest stands[J]. Forest Ecology and Management,2015-01-01,346