The Winkelmass index as a forest management tool for inventorying stand structure

Corona, Piermaria; D’Orazio, Paola; Lamonaca, Andrea; Portoghesi, Luigi

doi:10.3832/efor0280-0020225

Cited by 9 publications

(5 citation statements)

References 10 publications

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“…Plot demarcation followed the Condit [48], method of permanent sampling plot. Hence, each 1-ha plot was divided into 25, 20 m × 20 m quadrats whose corners were marked with painted permanent poles.…”

Section: Plot Demarcationmentioning

confidence: 99%

Stand Diversity and Carbon Stock of a Tropical Forest in the Deng Deng National Park, Cameroon

Mokake,

Weyi,

Anyinkeng

et al. 2023

OJE

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Tropical rainforests are crucial in maintaining about 70% of the world's plant and animal biodiversity and are also the highest terrestrial carbon reservoir. This study aimed to determine the tree species composition, structure and carbon stocks of the Deng Deng National Park which is a semi-deciduous tropical forest (plots 1 and 2 and the transition zone to the savannah (plot 3). Plots demarcation and enumeration followed standard protocols for permanent monitoring plots. The inventory of tree species ≥ 2 cm revealed a total of 5523 individuals of 64 species in 53 genera belonging to 26 families with plot 2 having the highest (2135 individuals/ha) and plot 3 the least (1291 individuals/ha). Tabernaemontana crassa was the most important tree species in the tropical forest and Lecythis idatimon in the savannah. Basal area was highest in the tropical forest and least in the savannah. The diameter distribution of trees in all forest types displayed a reverse J-pattern. Aboveground biomass was highest in the tropical forest (530.2 ± 66.4 t•C/ha) and least in the savannah (184.3 ± 20.1 t•C/ha). The carbon stock of the above ground biomass was twice as much as that of the below ground biomass, soil organic matter and litter. The total carbon stock estimated in all pools was 278.75 t•C/ha. The study site was poor in plant diversity, biomass and carbon stock, indicating a disturbed site with the absence of large trees and undergoing natural regeneration. This underlines an urgent need for efficient restoration management practices.

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Section: Plot Demarcationmentioning

confidence: 99%

Stand Diversity and Carbon Stock of a Tropical Forest in the Deng Deng National Park, Cameroon

Mokake,

Weyi,

Anyinkeng

et al. 2023

OJE

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“…In addition to what is already reported in Section 5 (Discussion) regarding the predicted GAI, it is possible that there were unreliable values of FMP GAI present. In the Plans, the increment is generally indirectly estimated by applying statistical methods starting from retrospective measures (generally related to the last 5 or 10 years) of the radial growth of sample trees [56]. Different errors can occur related to both the uncertainty of the measures of the growth and the possible approximation on which the statistical methods are based [57].…”

Section: Gross Annual Incrementmentioning

confidence: 99%

Assessment of Forest Wood and Carbon Stock at the Stand Level: First Results of a Modeling Approach for an Italian Case Study Area of the Central Alps

Nonini

Fiala

2022

Sustainability

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Models for carbon (C) stock assessment are widely applied in forest science, and mainly differ according to the scale of application, the required data, and the objectives for their implementation. This work presents the methodology implemented into the second version of an empirical model, WOody biomass and Carbon ASsessment (WOCAS v2), that uses the data of forest management plans (FMP) to calculate the mass of wood (t∙year−1 of dry matter, DM) and C (t∙year−1 C) at the stand level and from the year in which the FMPs came into force until a predefined reference year, for an Italian Case Study Area of Central Alps. The mass of wood and C are computed for (i) aboveground wood biomass (AWB), (ii) belowground wood biomass (BWB), and (iii) dead organic matter (DOM; i.e., dead wood and litter) according to the 2006 IPCC Guidelines. WOCAS v2 was tested for the first time for 2019 public forest stands (3.67 × 104 ha) of Valle Camonica for the period 1984–2018. Results showed that, in 2018 and at the landscape level, the total living wood biomass (TLB; AWB + BWB) reached 5.35∙106 t DM. TLB yield (t·ha−1·year−1 DM) ranged from 44.72 ± 44.42 t·ha−1·year−1 DM (1984) to 145.49 ± 70.76 t·ha−1·year−1 DM (2018). In the same year, DOM amounted to 6.12∙105 t DM, ranging from 8.28 ± 7.79 t·ha−1·year−1 DM (1989) to 17.11 ± 12.03 t·ha−1·year−1 DM (2015). The total weighted C yield, computed as the sum of C yield in AWB, BWB, and DOM of each stand, ranged from 26.63 ± 26.80 t∙ha−1∙year−1 C (1984) to 80.28 ± 41.32 t∙ha−1∙year−1 C (2018). The results demonstrated that FMPs data can be useful in estimating wood and C mass at the stand level and their variation over space and time for AWB as well as for BWB and DOM, which are not considered in the FMPs. This can represent a starting point for defining sustainable forest management policies and practices to improve forest vitality and conservation in compatibility with ecosystem services provision. Moreover, as the model is based on a standardized methodology it can be applied in any other forest area where the same input data are made available; this may constitute the basis for further applications on a broader scale.

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“…Con il software NEIGHBOURHOOD BASED STRUCTURAL INDICES, sviluppato presso il laboratorio SISFOR del l'Università della Tuscia, sono stati calcolati indici di diversità strutturale (Pommerening 2006). Tali indici si basano sull'analisi della posizione e della dimen sione del fusto di alberi tra loro vicini rispetto ad un albero di riferimento -nella modalità denominata re ference tree -o a una posizione di riferimento -nella modalità denominata reference point (Corona et al 2005a, 2005b, Calvani et al 2005.…”

Section: Elaborazione Dei Datiunclassified

“…Con l'indice DBHDM è stata analizzata la diversità dimensionale confrontando i diametri a petto d'uo mo degli alberi vicini. Il valore dell'indice aumenta all'aumentare della dominanza dimensionale dell'al bero di riferimento rispetto agli alberi vicini (Corona et al 2005b). La soglia di differenza diametrica mini ma utilizzata per rendere l'indice più sensibile all'ef fettivo livello di eterogeneità dimensionale è stata fissata pari a 4 cm come suggerito da Calvani et al (2005).…”

Section: Elaborazione Dei Datiunclassified

“Baldo’s Forest”: selection felling based on traditional knowledge in a beech stand in the Tuscan Appenines

Bottalico¹,

Brundu²,

Ciancio³

et al. 2010

Forest@

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In Italia i boschi di faggio caratterizzano il paesag gio di molte aree montane. Nel corso dei secoli il le gno di faggio ha rappresentato una risorsa fonda mentale per l'economia delle popolazioni locali. A partire dal XVII secolo, a seguito della rapida cresci ta demografica, le faggete delle Alpi e dell'Appenni no sono state intensamente sfruttate per produrre le gna da ardere e carbone (Crivellari 1955, Gabbrielli 1991, Rovelli 2000.Il trattamento prescritto per le fustaie di faggio ge neralmente è a tagli successivi uniformi. E ciò per due ragioni fondamentali: (a) la supposta tendenza del faggio a formare popolamenti coetanei; (b) la convinzione che questa forma di trattamento sia l'u nica in grado di garantire la produzione di fusti di buona qualità (

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The Winkelmass index as a forest management tool for inventorying stand structure

Cited by 9 publications

References 10 publications

Stand Diversity and Carbon Stock of a Tropical Forest in the Deng Deng National Park, Cameroon

Stand Diversity and Carbon Stock of a Tropical Forest in the Deng Deng National Park, Cameroon

Assessment of Forest Wood and Carbon Stock at the Stand Level: First Results of a Modeling Approach for an Italian Case Study Area of the Central Alps

“Baldo’s Forest”: selection felling based on traditional knowledge in a beech stand in the Tuscan Appenines

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