A software tool for standardised non-destructive biomass estimation in short rotation forestry

1997 ◽  
Vol 60 (3) ◽  
pp. 267-268 ◽  
Author(s):  
Björn F. Telenius
Keyword(s):  
Software Tool ◽  
Biomass Estimation ◽  
Short Rotation ◽  
Non Destructive

scholarly journals Estimation on the Change of Above-Ground Carbon Stock in Arboretum University of Lampung

2018 ◽  
Vol 6 (2) ◽  
pp. 51
Author(s):  
Kristian Gomos Banjarnahor ◽  
Agus Setiawan ◽  
Arief Darmawan
Keyword(s):  
Carbon Stock ◽  
The Body ◽  
Total Carbon ◽  
Biomass Estimation ◽  
Total Biomass ◽  
Biomass Carbon ◽  
Process Plants ◽  
Carbon Dioxide Co2 ◽  
Non Destructive ◽  
Earth Temperature

Carbon dioxide (CO2) is a greenhouse gas that could increase earth temperature. Through the photosynthesis process, plants absorb CO2 then convert it into carbohydrates, then sequester it in the body of plants. The purpose of the study is to estimate the changes in the carbon stock at the Arboretum University of Lampung. The methods used were stock difference by counting the carbon changes or difference between carbon stored in 2010 and 2016. While the stand biomass estimation measured by trees general allometric equations with non-destructive sampling. The results showed that the total carbon was 46% of the total biomass. Carbon stock in 2016 were about 226.75 ton/ha, showing an increase of 59.72% or 84.78 ton/ha compared to in 2010’s. The increase was due to additional growth of 804 trees as a result of plantation activity and natural regeneration. Keywords: Arboretum, biomass, carbon, necromass, University of Lampung.

scholarly journals Ground reference data for sugarcane biomass estimation in São Paulo state, Brazil

2018 ◽  
Vol 5 (1) ◽  
Author(s):  
Ramses A. Molijn ◽  
Lorenzo Iannini ◽  
Jansle Vieira Rocha ◽  
Ramon F. Hanssen
Keyword(s):  
Reference Data ◽  
Growth Dynamics ◽  
Sao Paulo ◽  
Biomass Estimation ◽  
São Paulo ◽  
Satellite Measurements ◽  
Paulo State ◽  
São Paulo State ◽  
Non Destructive ◽  
Production Dynamics

Abstract In order to make effective decisions on sustainable development, it is essential for sugarcane-producing countries to take into account sugarcane acreage and sugarcane production dynamics. The availability of sugarcane biophysical data along the growth season is key to an effective mapping of such dynamics, especially to tune agronomic models and to cross-validate indirect satellite measurements. Here, we introduce a dataset comprising 3,500 sugarcane observations collected from October 2014 until October 2015 at four fields in the São Paulo state (Brazil). The campaign included both non-destructive measurements of plant biometrics and destructive biomass weighing procedures. The acquisition plan was designed to maximize cost-effectiveness and minimize field-invasiveness, hence the non-destructive measurements outnumber the destructive ones. To compensate for such imbalance, a method to convert the measured biometrics into biomass estimates, based on the empirical adjustment of allometric models, is proposed. In addition, the paper addresses the precisions associated to the ground measurements and derived metrics. The presented growth dynamics and associated precisions can be adopted when designing new sugarcane measurement campaigns.

scholarly journals Non-Destructive Lichen Biomass Estimation in Northwestern Alaska: A Comparison of Methods

PLoS ONE ◽  
2014 ◽  
Vol 9 (7) ◽  
pp. e103739 ◽  
Author(s):  
Abbey Rosso ◽  
Peter Neitlich ◽  
Robert J. Smith
Keyword(s):  
Biomass Estimation ◽  
Comparison Of Methods ◽  
Non Destructive

Non-destructive method for above-ground biomass estimation of Fraxinus uhdei (Wenz.) Lingelsh in an urban forest

2017 ◽  
Vol 24 ◽  
pp. 62-70 ◽  
Author(s):  
Stephanie F. López-López ◽  
Tomás Martínez-Trinidad ◽  
Héctor Benavides-Meza ◽  
Moises Garcia-Nieto ◽  
Héctor M. de los Santos-Posadas
Keyword(s):  
Urban Forest ◽  
Biomass Estimation ◽  
Above Ground Biomass ◽  
Ground Biomass ◽  
Non Destructive

scholarly journals Banana Biomass Estimation and Yield Forecasting from Non-Destructive Measurements for Two Contrasting Cultivars and Water Regimes

Agronomy ◽  
2020 ◽  
Vol 10 (9) ◽  
pp. 1435 ◽  
Author(s):  
Bert Stevens ◽  
Jan Diels ◽  
Allan Brown ◽  
Stanley Bayo ◽  
Patrick A. Ndakidemi ◽  
...  
Keyword(s):  
Water Stress ◽  
Regression Models ◽  
Growth Yield ◽  
Moisture Stress ◽  
Least Square ◽  
Biomass Estimation ◽  
Fresh Weight ◽  
Dry Biomass ◽  
Vegetative Biomass ◽  
Non Destructive

The largest abiotic constraint threatening banana (Musa spp.) production is water stress, impacting biomass buildup and yields; however, so far no studies have investigated the effects of water stress on allometric equations in banana. Weighted least square regression models were built for (i) estimating aboveground vegetative dry biomass (ABGVD) and corm dry biomass (cormD) and (ii) forecasting bunch fresh weight (bunchF), based on non-destructive parameters for two cultivars, Mchare Huti-Green Bell (HG, AA) and Cavendish Grande Naine (GN, AAA), under two irrigation regimes: full irrigation (FI) and rainfed (RF). FI affected growth, yield, and phenological parameters in the field (p < 0.05) depending on the onset of moisture stress. Pseudostem volume (Vpseudo) proved a good predictor for estimating ABGVD (R2adj = 0.88–0.92; RRMSE = 0.14–0.19), but suboptimal for cormD (R2adj = 0.90–0.89, RRMSE = 0.21–0.26 for HG; R2adj = 0.34–0.57, RRMSE = 0.38–0.43 for GN). Differences between RF and FI models (p < 0.05) were small as 95%CI overlapped. Vpseudo at flowering predicted bunchF in FI plots correctly (R2adj = 0.70 for HG, R2adj = 0.43 for GN; RRMSE = 0.12–0.15 for HG and GN). Differences between FI and RF models were pronounced as 95%CI did not overlap (p < 0.05). Bunch allometry was affected by irrigation, proving bunchF forecasting needs to include information on moisture stress during bunch filling or information on bunch parameters. Our allometric relationships can be used for rapid and non-destructive aboveground vegetative biomass (ABGVD) assessment over time and to forecast bunch potentials based on Vpseudo at flowering.

Clump structure, population structure and non-destructive biomass estimation of the New Zealand carrageenophyte Sarcothalia lanceata (Gigartinaceae, Rhodophyta)

2016 ◽  
Vol 59 (5) ◽  
Author(s):  
Kate F. Neill ◽  
Wendy A. Nelson ◽  
Ruth Falshaw ◽  
Catriona L. Hurd
Keyword(s):  
New Zealand ◽  
Total Population ◽  
Natural Populations ◽  
Biomass Estimation ◽  
Suitable Candidate ◽  
Regression Methods ◽  
Fundamental Information ◽  
Clump Size ◽  
Non Destructive ◽  
Two Populations

Abstractis a New Zealand carrageenophyte with tetrasporophytic thalli that produce carrageenan very close to the idealised structure of lambda-carrageenan. As such there is interest in its potential for commercial utilisation. There is no information on the biology and ecology of natural populations of this species, but this knowledge is critical for determining whether a species is a suitable candidate for sustainable wild harvest or for aquaculture. Population studies were conducted at two sites in New Zealand’s South Island in order to provide fundamental information on this species. The structure (abundance and composition of male, female, tetrasporophytic and non-reproductive clumps) of the two populations was assessed monthly over a year, and population biomass estimated using regression methods. Seasonal variation was not evident in most of the parameters measured, but differences between sites were found in total population density, the density of different life-history phases, and clump size and structure. The turnover in biomass occurs more frequently at the blade level than at the clump level and the presence of a basal crust in this species promotes population stability.

scholarly journals Crown Area as a Parameter for Biomass Estimation of Croton sonderianus Müll. Arg.

2019 ◽  
Vol 26 (4) ◽  
Author(s):  
Jeferson Luiz Dallabona Dombroski ◽  
José Rivanildo de Souza Pinto
Keyword(s):  
Plant Height ◽  
Plant Biomass ◽  
Remote Sensing Data ◽  
Biomass Estimation ◽  
Tree Biomass ◽  
Basal Diameter ◽  
Crown Area ◽  
Breast Height ◽  
Multiple Stems ◽  
Non Destructive

ABSTRACT Current tree biomass estimation techniques generally use remote sensing data and allometric models for validation, which relate non-destructive parameters to plant biomass, usually employing diameter at the plant base or breast height and plant height. In the Caatinga Biome, many plants present multiple stems, thus making it difficult to measure the plant diameter, and lost branches, which are difficult to correct for. Hence, there is a need for suitable models for Caatinga plants, as well as studies on the possibility of using other parameters. For this study, plant and branch basal diameter, plant height, and crown area of Croton sonderianus plants were measured, and plants were also collected and weighed. Several classic models and their variations were tested. The best models were variations of Naslund (R2 = 0.92; rmse = 1,221) and Schumacher & Hall (R2 = 0.92; rmse = 1,217). Plant height and crown area enables a better biomass estimation than using plant or branch basal diameter.

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