scholarly journals Height-diameter allometric equations of an emergent tree species from the Congo Basin

2022 ◽  
Vol 504 ◽  
pp. 119822
Author(s):  
Chadrack Kafuti ◽  
Jan Van den Bulcke ◽  
Hans Beeckman ◽  
Joris Van Acker ◽  
Wannes Hubau ◽  
...  
2017 ◽  
Vol 396 ◽  
pp. 160-175 ◽  
Author(s):  
David I. Forrester ◽  
I.H.H. Tachauer ◽  
Peter Annighoefer ◽  
Ignacio Barbeito ◽  
Hans Pretzsch ◽  
...  

2020 ◽  
Vol 13 (1) ◽  
pp. 165-174
Author(s):  
R Puc-Kauil ◽  
G Ángeles-Pérez ◽  
JR Valdéz-Lazalde ◽  
VJ Reyes-Hernández ◽  
JM Dupuy-Rada ◽  
...  

2021 ◽  
Vol 4 ◽  
Author(s):  
Bhely Angoboy Ilondea ◽  
Hans Beeckman ◽  
Joris Van Acker ◽  
Jan Van den Bulcke ◽  
Adeline Fayolle ◽  
...  

A diversity of phenological strategies has been reported for tropical tree species. Defoliation and seasonal dormancy of cambial activity inform us on how trees cope with water stress during the dry season, or maximize the use of resources during the rainy season. Here, we study the matching between leaf phenology (unfolding and shedding) and cambial activity for Prioria balsamifera, a key timber species in the Democratic Republic of Congo. In particular, we (i) evaluated the seasonality of cambial activity and synchrony of phenology among trees in response to climate and (ii) identified the seasonality of leaf phenology and its relation with cambial phenology. The study was conducted in the Luki Man and Biosphere Reserve, located in the Mayombe forest at the southern margin of the Congo Basin. Historic defoliation data were collected every ten days using weekly crown observations whereas recent observations involved time-lapse cameras. Cambial pinning was performed on ten trees during 20 months and radius dendrometers were installed on three trees during 13 months. Tree rings were measured on cores from 13 trees and growth synchrony was evaluated. We found that P. balsamifera defoliates annually with a peak observed at the end of the dry season and the beginning of the rainy season. The new leaves unfolded shortly after shedding of the old leaves. The peak defoliation dates varied across years from September 12 to November 14 and the fraction of number of trees that defoliated at a given time was found to be negatively correlated with annual rainfall and temperature; during the dry season, when precipitation and temperatures are the lowest. Wood formation (radial growth), was found to be highly seasonal, with cambial dormancy occurring during the dry season and growth starting at the beginning of the rainy season. Individual ring-width series did not cross date well. The within species variability of leaf phenology and cambial rhythms provides indication about resistance of the population against climatic changes.


2012 ◽  
Vol 123 (1) ◽  
pp. 27-36 ◽  
Author(s):  
Emad Farahat ◽  
Kamal Shaltout ◽  
Hassan El-Kady ◽  
Ahmed Shalapy

Botany ◽  
2015 ◽  
Vol 93 (10) ◽  
pp. 663-670 ◽  
Author(s):  
Unes Shahrokhzadeh ◽  
Hormoz Sohrabi ◽  
Carolyn A. Copenheaver

Biomass equations are essential for evaluating the climate change mitigation potential of forests through biomass accumulation and carbon sequestration. In northern Iran’s Hyrcanian forests, topographic relief is so extreme that developing biomass equations from destructive sampling of trees is physically challenging. In this paper, allometric biomass and leaf area equations were developed for three common Hyrcanian tree species: Oriental beech (Fagus orientalis Lipsky), chestnut-leaved oak (Quercus castaneifolia C.A.Mey.), and common hornbeam (Carpinus betulus L.). A total of 30 trees, ranging in diameter at breast height (DBH) from 21 to 90 cm, were felled and stems, branches, twigs, and leaves from each tree were measured and weighed. Allometric equations for estimating biomass from DBH and height and their combinations were derived. Model comparison and selection were based on R2, Akaike’s information criterion (AIC), prediction error sums of squares, model standard error estimate (SEE), ΔAIC, and correction factor. The best-fit equations had adjusted R2values between 0.81 to 0.98 and SEE values between 0.351 and 0.681. The allometric equations provide improved methods for predicting forest biomass and carbon storage in Hyrcanian forests from standard forestry measurements, which means these equations may be applied to historical and new forest data.


Author(s):  
Ismail Ismail ◽  
Muhammad Sohail ◽  
Hammad Gilani ◽  
Anwar Ali ◽  
Kiramat Hussain ◽  
...  

Purpose The purpose of the study is to analyse the occurrence and distribution of different tree species in Gilgit-Baltistan, Pakistan, as a baseline for further inventories, and estimate the biomass per species and plot. Furthermore, it aims to measure forest biodiversity using established formulae for tree species diversity index, richness, evenness and accumulative curve. Design/methodology/approach Field data were collected, including stratification of forest sample plots. Statistical analysis of the data was carried out, and locally appropriate allometric equations were applied for biomass estimation. Findings Representative circular 556 forest sample plots of 1,000 m2 contained 13,135 trees belonging to nine tree species with a total aboveground biomass of 12,887 tonnes. Sixty-eight per cent of the trees were found between 2,600 and 3,400 masl; approximately 63 per cent had a diameter at breast height equal to 30 cm, and 45 per cent were less than 12 m in height. The Shannon diversity index was 1.82, and Simpson’s index of diversity was 0.813. Research limitations/implications Rough terrain, long distances, harsh weather conditions and location of forest in steep narrow valleys presented challenges for the field crews, and meant that fieldwork took longer than planned. Practical implications Estimating biomass in Gilgit-Baltistan’s forests using locally developed allometric equations will provide transparency in estimates of forest reference levels, National Forest Monitoring System in Pakistan and devising Reducing Emissions from Deforestation and Forest Degradation national strategies and for effective implementation. Originality/value This paper presents the first detailed forest inventory carried out for the dry temperate and semi-arid cold region of Gilgit-Baltistan, Pakistan.


Forests ◽  
2021 ◽  
Vol 12 (2) ◽  
pp. 117
Author(s):  
Jean Marc Kaumbu Kyalamakasa ◽  
Michel Mpundu Mubemba Mulambi ◽  
Emery Kasongo Lenge Mukonzo ◽  
Mylor Ngoy Shutcha ◽  
Honoré Tekeu ◽  
...  

Miombo woodland (MW) has several multi-purpose forest species, which are over-exploited for agriculture, charcoal and logging. Industrial plantations are among the promising solutions for sustainable management of MW, but high-yielding MW species are still lacking in the forestry sector. In this context, the present study assessed the growth of MW species, with respect to their early (ES) or late (LS) successional status. Seedling development was assessed for eight tree species, which were ES (Combretum collinum, Pterocarpus tinctorius) and LS (Brachystegia boehmii, B. longifolia, B. spiciformis, B. wangermeana, Julbernardia globiflora, J. paniculata), 1, 2 and 4 years after planting. Germination and survival varied in relation to ontogenetic traits of the species, but not the successional status, as was the case for growth and productivity. Seed germination was 60% to 88% for all species (except C. collinum). Seedling survivorship was greater than 70% for most species, except for J. paniculata (36%). ES species have greater growth compared to LS, due to the allocation of biomass to diameter and the length of the root, respectively, from the early stage of seedling development. These two strategies of biomass allocation are positively correlated with height. We further observed two distinct phases of seedling development (0–2 and 2–4 years) for all species. Growth differences among LS species were identified 4 years after planting. Based on seedling biomass, B. spiciformis, C. collinum and P. tinctorius are the most productive potential candidates for reforestation of degraded MW. We concluded that seedling growth and productivity varied according to strategies of biomass allocation that were related to successional status (ES (Chipya group) versus LS (Miombo group)) and to age following planting.


2020 ◽  
Vol 21 (9) ◽  
Author(s):  
Pandu Wirabuana ◽  
RAHMANTA SETIAHADI ◽  
RONGGO SADONO ◽  
MARTIN LUKITO ◽  
DJOKO SETYO MARTONO ◽  
...  

Abstract. Wirabuana PYAP, Setiahadi R, Sadono R, Lukito M, Martono DS, Matatula J. 2020. Allometric equations for estimating biomass of community forest tree species in Madiun, Indonesia. Biodiversitas 21: 4291-4300. The capability of community forests for offsetting carbon emissions highly depends on their biomass production. Unfortunately, the measurement of tree biomass in community forests using a destructive method is expensive and time-consuming. It is also almost impossible to conduct this method for all trees in the observation area. Therefore, the development of allometric equations is essential to support tree biomass estimation in community forests. This study was designed to construct specific models for predicting individual tree biomass in community forests, located in Madiun, Indonesia. We destructively sampled approximately 120 trees from four different species (30 trees for each species), i.e., Falcataria moluccana, Melia azedarach, Swietenia macrophylla, and Tectona grandis. For every tree sample, the measurement of biomass was conducted in each tree’s component, namely roots, stem, branches, and leaves. The allometric equations were developed with regression analysis using predictor variables, like diameter at breast height (D), squared diameter at breast height combined with tree height (D2H), as well as D and H separately. Results found that for four species, the mean biomass in the stem was 50.3%, followed by branches 25.4%, roots 15.9%, and leaves 8.3%. The best equation for estimating biomass in every component and total of four species was different. However, our study showed that the equation lnŶ = -3.037 + 1.430 lnD + 1.684 was reliable to estimate total individual tree biomass of four species in the surveyed area since this model had accuracy of 90.8%. Referring to these findings, we recommended the utilization of an allometric equation as an alternative method for facilitating more efficient biomass measurement in the community forests.


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