scholarly journals Biomass of dwarf pine in the Orlické hory Mountains

Beskydy ◽  
2012 ◽  
Vol 5 (2) ◽  
pp. 181-186
Author(s):  
D. Dušek ◽  
J. Novák ◽  
D. Kacálek ◽  
M. Slodičák
Keyword(s):  
Root Biomass ◽  
Above Ground Biomass ◽  
Main Root ◽  
Clear Cut ◽  
Ground Biomass ◽  
Dry Biomass ◽  
Destructive Analysis ◽  
Biomass Sample

In order to evaluate weight and nutrients content in dwarf pine biomass, sample trees were taken for destructive analysis in the formerly air-polluted Orlické Hory Mountains. Investigated stand of dwarf pine was planted in 1988–1989 within clear-cut at elevation 1060–1110 m (NW aspect, Sorbeto - Piceetum). Totally 29,000 kg.ha-1 of dry biomass was accumulated in the stand. Above-ground biomass accounts for 27,000 kg (needles 8,000 kg and wood 19,000 kg) and main root biomass represents ca 2,000 kg.ha-1. The biomass of dwarf pine stand contained following amounts of nutrients per hectare: 153 kg of Nitrogen (from this 64 % in needles, 27 % in wood and 8 % in roots), 14.5 kg of Phosphorus (52 % in needles), 46 kg of Potassium (52 % in needles), 22 kg of Calcium (45 % in needles) and 15 kg of Magnesium (40 % in needles and 44 % in wood).

scholarly journals Allometric equations to estimate the above-ground biomass of trees in the tropical secondary forests of different ages

2019 ◽  
Vol 20 (9) ◽  
Author(s):  
Karyati Karyati ◽  
ISA B. IPOR ◽  
ISMAIL JUSOH ◽  
MOHD. EFFENDI WASLI
Keyword(s):  
Secondary Forest ◽  
Floristic Composition ◽  
Allometric Equations ◽  
Secondary Forests ◽  
Strong Correlations ◽  
Above Ground Biomass ◽  
Ground Biomass ◽  
Dry Biomass ◽  
Different Ages ◽  
Tropical Secondary Forest

Abstract. Karyati, Ipor IB, Jusoh I, Wasli ME. 2019. Allometric equations to estimate the above-ground biomass of trees in the tropical secondary forests of different ages. Biodiversitas 20: 2427-2436. The allometric equations for trees of secondary forests of different ages in abandoned lands after shifting cultivation are still rarely available. The objective of this study was to develop allometric equations to estimate the above-ground biomass (AGB) of trees (DBH of > 5 cm) in the tropical secondary forest of different ages, namely 5, 10, and 20 years after abandonment. The selected trees in this study represented the dominant and rare species and DBH classes in each study site. The trunk dry biomass and AGB showed strong correlations (adjusted R2= 0.59-0.95) with diameter at breast height (DBH) and height. The leaf and branch dry biomass had weak correlations with height (adjusted R2=0.36-0.50). The developed allometric equations were suitable for trees of secondary forests of different ages, because the selected samples used in the destructive method were based on a field inventory data of forest structure and floristic composition.

scholarly journals Pyrolysis Improves the Effect of Straw Amendment on the Productivity of Perennial Ryegrass (Lolium perenne L.)

Agronomy ◽  
2020 ◽  
Vol 10 (10) ◽  
pp. 1455
Author(s):  
Tomasz Głąb ◽  
Krzysztof Gondek ◽  
Monika Mierzwa-Hersztek
Keyword(s):  
Lolium Perenne ◽  
Biomass Production ◽  
Perennial Ryegrass ◽  
Root Biomass ◽  
Soil Amendment ◽  
Organic Amendments ◽  
Above Ground Biomass ◽  
Lolium Perenne L ◽  
Ground Biomass ◽  
Straw Amendment

The use of straw as a soil amendment is a well-known and recommended agronomy practice, but it can lead to negative effects on the soil and crop yield. It has been hypothesized that many problems related to the burying of straw can be overcome by pyrolyzing it. The objective of this study was to determine the effect of straw and its biochar on the biomass production of perennial ryegrass. A pot-based experiment was conducted with three factors: (i) the crop species used as feedstock, (ii) raw or pyrolyzed organic material, and (iii) the rate of organic amendments. The soil in the pots was amended with straw and biochar produced from Miscanthus (Miscanthus × giganteus) or winter wheat (Triticum aestivum L.). After soil amendment application, perennial ryegrass (Lolium perenne L.) seeds were sown. During two years of the experiment, the perennial ryegrass above-ground biomass production and root biomass and morphology parameters were determined. Straw and biochar resulted in higher perennial ryegrass above-ground biomass compared with that of the non-fertilized control. However, straw amendment resulted in lower plant yields of above-ground biomass than those of the biochar treatments or the mineral fertilizer control treatment. The feedstock type (Miscanthus or wheat) significantly affected the perennial ryegrass yield. No difference was observed among wheat and Miscanthus biochar, while among straws, Miscanthus resulted in lower perennial ryegrass productivity (the higher rate of straw and biochar as soil amendments resulted in relatively high perennial ryegrass productivity). The organic amendments resulted in relatively high root biomass and length. The root:shoot ratio was lower in the treatments in which biochar was used, whereas feedstock species and amendment rate were not statistically significant for any of the root biomass and morphometric parameters. The results suggest that the use of pyrolyzed straw can be a reliable strategy instead of straw, increasing ryegrass growth and productivity.

scholarly journals Root biomass and root fractal analyses of an open Eucalyptus forest in a savanna of north Australia

2002 ◽  
Vol 50 (1) ◽  
pp. 31 ◽  
Author(s):  
D. Eamus ◽  
X. Chen ◽  
G. Kelley ◽  
L. B. Hutley
Keyword(s):  
Root Biomass ◽  
Fine Root ◽  
Fine Root Biomass ◽  
Root Diameter ◽  
Above Ground Biomass ◽  
Breast Height ◽  
Ground Biomass ◽  
Fractal Analyses ◽  
Below Ground ◽  
Tree Stem

Below-ground biomass of a Eucalyptus savanna forest was estimated following trenching to depths of 2 m around 16 mature trees in a tropical savanna of north Australia. Correlations among below-ground and various components of above-ground biomass were also investigated. In addition, root morphology was investigated by fractal analyses and a determination of an index of shallow-rootedness was undertaken. Total root biomass was 38.4 t ha–1, including 1 t ha–1 of fine roots. About 77–90% of total root biomass was found in the upper 0.5 m of soil. While fine-root biomass density was approximately constant (0.1 kg m–3) in the top soil, irrespective of distance from a tree stem, coarse-root biomass showed large variation with distance from the tree stem. Significant positive correlations among total root biomass, total above-ground biomass, diameter at breast height, leaf biomass and leaf area were obtained. It is likely that total root biomass can be reasonably accurately estimated from aboveground biomass and fine-root biomass from tree leaf area. We present equations that allow the prediction of belowground biomass from above-ground measures of tree size. Root morphology of two evergreen and two deciduous species was compared by the use of three parameters. These were the fractal dimension (d), which describes root system complexity; a proportionality factor (α), which is the ratio of the cross-sectional area before and after branching; and two indices of shallow-rootedness (ISR). Roots were found to be amenable to fractal analyses. The proportionality factor was independent of root diameter (Dr) at any branching level in all tree species examined, indicating that branching patterns were similar across all root sizes. The fractal dimension (d) ranged from 1.15 to 1.36, indicating a relatively simple root structure. Mean d was significantly different between E. tetrodonta (evergreen) and T. ferdinandiana (deciduous); however, no significant differences were found among other pairs of species. Terminalia ferdinandiana had the highest ISR, while Planchonia careya (deciduous) had the lowest. In addition, differences in ISR between P. careya and the other three species were significant, but not significant among E. miniata, E. tetrodonta and T. ferdinandiana. There were clear relationships among above-ground tree stem diameter at breast height, stem base diameter, and horizontal and vertical proximal root diameter. By the use of mean values of and stem diameter, we estimated the total crosssectional area of root and root diameter-class distribution for each species studied.

Effect of Organic Manures, Azotobacter and Spacing on Yield of Solanum nigrum L.

2015 ◽  
Vol 22 (3) ◽  
pp. 133-137
Author(s):  
Ashwani Kumar ◽  
Kulwant Sharma
Keyword(s):  
Root Biomass ◽  
Biomass Yield ◽  
Solanum Nigrum ◽  
Above Ground Biomass ◽  
Organic Manures ◽  
Ground Biomass ◽  
Yield Parameters ◽  
Maximum Value ◽  
Solanum Nigrum L ◽  
The Impact

The present investigation on effect of organic manures, Azotobacter and spacing on yield of Solanum nigrum L. was carried out. Seven different treatments with three spacings were studied to observe the impact of these treatments on yield parameters. Overall, treatment of Vermicompost + Azotobacter combination at S3 (45x45 cm) spacing gave maximum seed yield/plant, fresh above ground biomass per plant, fresh root biomass per plant, dry above ground biomass per plant, dry root biomass per plant as compared to other treatments at different spacings. Maximum value for yield parameters viz. total fresh biomass yield and total dry biomass yield/ha were recorded in treatment of Vermicompost + Azotobacter combination at with 30 x 30 cm spacing. The yield decreased with the further increase in spacing.

scholarly journals Modeling of Above Ground Biomass for Selected Indigenous Acacia Species in Omo-Gibe Woodland Ecosystem, South Western Ethiopia

2018 ◽  
Author(s):  
Abreham Berta Aneseyee ◽  
Teshome Soromessa ◽  
Eyasu Elias
Keyword(s):  
Performance Analysis ◽  
Information Criteria ◽  
Allometric Equations ◽  
Above Ground Biomass ◽  
Generalized Model ◽  
Acacia Species ◽  
Ground Biomass ◽  
Biomass Models ◽  
Dry Biomass ◽  
Species Specific

Allometric equations are used to estimate accurate biomass and carbon stock of forests. However, in Ethiopia only few allometric equations as compared to its floral diversity and species-specific allometric equations for Acacia species are still not developed in Ethiopia. The numbers of tree marked for sampling are Fifty-four (54) using preferential sampling. Diameter at breast height, wood density and tree height were collected as independent variables to predict species specific dry biomass of Acacia species. The new species-specific allometric models have been performed using linear regression analysis in the R software. The Above ground biomass (AGB) have been validated using quantitative statically using the pantropic model. Six candidate models have been developed for each species and four best models for each species of dry biomass was selected based on goodness-of-fit statistics and equation performance analysis of the candidate models. The best model for predicting above ground biomass for Acacia seyal is 0.20636*((DBH2)Hρ) 0.53167, for Acacia polyacantha is  7.26982((DBH)2Hρ)0.21750, for  Acacia ethibcia is 29.01898*((DBH)2Hρ)0.21518 and  for Acacia toritolis is  3.82427*((DBH)2Hρ)0.16748.  The selected models are the best performing (P> 0.01) and higher adjusted R2 (>80%) and has lower Akaike’s Information Criteria (AIC) and residual standard error (RSE) values as comparing the rest of the model. The validation of new developed biomass model using Tukey test indicated that significant variation of mean biomass (P<0.05) between the new developed model and the generalized model. The statistics model performance analysis of Nash-Sutcliffe efficiency (NSE) value is approaching to one, indicating that the new developed model has better performance model as compared with generalized model. Moreover, the percent bias of the new developed models is close to zero which indicates that the site-specific biomass models have more accurate estimator and the generalized biomass models have overestimated biomass for the four Acacia species.

ESTIMATION OF ABOVE GROUND BIOMASS OF THE THREE SITES (GRAZED SITE, PROTECTED SITE AND SEED SOWN SITE) FOR COMPARING THEIR PRODUCTIVITY IN KASHMIR VALLEY

2017 ◽  
Vol 23 (2) ◽  
Author(s):  
AFSHAN ANJUM BABA ◽  
SYED NASEEM UL-ZAFAR GEELANI ◽  
ISHRAT SALEEM ◽  
MOHIT HUSAIN ◽  
PERVEZ AHMAD KHAN ◽  
...  
Keyword(s):  
Protected Areas ◽  
Aboveground Biomass ◽  
Plant Biomass ◽  
Summer Season ◽  
Above Ground Biomass ◽  
Spring Season ◽  
Kashmir Valley ◽  
Ground Biomass ◽  
Maximum Value ◽  
Protected Site

The plant biomass for protected areas was maximum in summer (1221.56 g/m2) and minimum in winter (290.62 g/m2) as against grazed areas having maximum value 590.81 g/m2 in autumn and minimum 183.75 g/m2 in winter. Study revealed that at Protected site (Kanidajan) the above ground biomass ranged was from a minimum (1.11 t ha-1) in the spring season to a maximum (4.58 t ha-1) in the summer season while at Grazed site (Yousmarag), the aboveground biomass varied from a minimum (0.54 t ha-1) in the spring season to a maximum of 1.48 t ha-1 in summer seasonandat Seed sown site (Badipora), the lowest value of aboveground biomass obtained was 4.46 t ha-1 in spring while as the highest (7.98 t ha-1) was obtained in summer.

scholarly journals The climatic imprint of bimodal distributions in vegetation cover for western Africa

2016 ◽  
Vol 13 (11) ◽  
pp. 3343-3357 ◽  
Author(s):  
Zun Yin ◽  
Stefan C. Dekker ◽  
Bart J. J. M. van den Hurk ◽  
Henk A. Dijkstra
Keyword(s):  
Land Cover ◽  
Congo Basin ◽  
Shortwave Radiation ◽  
Mean Annual Precipitation ◽  
Above Ground Biomass ◽  
Precipitation Regime ◽  
Ground Biomass ◽  
Western Africa ◽  
Precipitation Regimes ◽  
Woody Cover

Abstract. Observed bimodal distributions of woody cover in western Africa provide evidence that alternative ecosystem states may exist under the same precipitation regimes. In this study, we show that bimodality can also be observed in mean annual shortwave radiation and above-ground biomass, which might closely relate to woody cover due to vegetation–climate interactions. Thus we expect that use of radiation and above-ground biomass enables us to distinguish the two modes of woody cover. However, through conditional histogram analysis, we find that the bimodality of woody cover still can exist under conditions of low mean annual shortwave radiation and low above-ground biomass. It suggests that this specific condition might play a key role in critical transitions between the two modes, while under other conditions no bimodality was found. Based on a land cover map in which anthropogenic land use was removed, six climatic indicators that represent water, energy, climate seasonality and water–radiation coupling are analysed to investigate the coexistence of these indicators with specific land cover types. From this analysis we find that the mean annual precipitation is not sufficient to predict potential land cover change. Indicators of climate seasonality are strongly related to the observed land cover type. However, these indicators cannot predict a stable forest state under the observed climatic conditions, in contrast to observed forest states. A new indicator (the normalized difference of precipitation) successfully expresses the stability of the precipitation regime and can improve the prediction accuracy of forest states. Next we evaluate land cover predictions based on different combinations of climatic indicators. Regions with high potential of land cover transitions are revealed. The results suggest that the tropical forest in the Congo basin may be unstable and shows the possibility of decreasing significantly. An increase in the area covered by savanna and grass is possible, which coincides with the observed regreening of the Sahara.

Above-ground biomass estimation of Indian tropical forests using X band Pol-InSAR and Random Forest

2021 ◽  
Vol 21 ◽  
pp. 100462
Author(s):  
Sadhana Yadav ◽  
Hitendra Padalia ◽  
Sanjiv K. Sinha ◽  
Ritika Srinet ◽  
Prakash Chauhan
Keyword(s):  
Random Forest ◽  
Tropical Forests ◽  
Biomass Estimation ◽  
Above Ground Biomass ◽  
Ground Biomass ◽  
X Band

scholarly journals Comparison of Capability of SAR and Optical Data in Mapping Forest above Ground Biomass Based on Machine Learning

2020 ◽  
Vol 5 (1) ◽  
pp. 13
Author(s):  
Negar Tavasoli ◽  
Hossein Arefi
Keyword(s):  
Machine Learning ◽  
Carbon Stock ◽  
Vegetation Indices ◽  
Forest Biomass ◽  
Principal Component ◽  
Optical Data ◽  
Above Ground Biomass ◽  
Ground Biomass ◽  
Texture Characteristics ◽  
Sentinel 2

Assessment of forest above ground biomass (AGB) is critical for managing forest and understanding the role of forest as source of carbon fluxes. Recently, satellite remote sensing products offer the chance to map forest biomass and carbon stock. The present study focuses on comparing the potential use of combination of ALOSPALSAR and Sentinel-1 SAR data, with Sentinel-2 optical data to estimate above ground biomass and carbon stock using Genetic-Random forest machine learning (GA-RF) algorithm. Polarimetric decompositions, texture characteristics and backscatter coefficients of ALOSPALSAR and Sentinel-1, and vegetation indices, tasseled cap, texture parameters and principal component analysis (PCA) of Sentinel-2 based on measured AGB samples were used to estimate biomass. The overall coefficient (R2) of AGB modelling using combination of ALOSPALSAR and Sentinel-1 data, and Sentinel-2 data were respectively 0.70 and 0.62. The result showed that Combining ALOSPALSAR and Sentinel-1 data to predict AGB by using GA-RF model performed better than Sentinel-2 data.

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