Above-ground Biomass Recovery in Managed Tropical Forest in the Jari Valley, Eastern Amazon

Tropical forests play an important role in maintaining the regional rainfall regime and global climate, besides representing a significant stock of carbon. This study aimed at evaluate above-ground biomass (AGB) recovery, after reduced-impact logging (RIL) in a managed forest on the Jari River valley. The data were collected in 15 plots (100 m × 100 m) in the management area of the Jari Florestal Company. To estimate AGB we used a local equation adjusted for forests in the eastern Amazon. AGB before logging ranged from 157.9 Mg ha-1 to 619.9 Mg ha-1, with an average of 362.5 Mg ha-1. AGB after logging ranged from 151.2 Mg ha-1 to 632.8 Mg ha-1, with an average of 322.4 Mg ha-1. The time of monitoring of the plots and logging intensity were the main factors that influenced the recovery of the AGB. In 12 years after the RIL, the forest was able to recover its initial stocks of AGB, in places of low exploitation intensity.

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Above-ground biomass dynamics after reduced-impact logging in the Eastern Amazon

Forest Ecology and Management ◽

10.1016/j.foreco.2009.10.031 ◽

2010 ◽

Vol 259 (3) ◽

pp. 367-373 ◽

Cited By ~ 56

Author(s):

Lucas Mazzei ◽

Plinio Sist ◽

Ademir Ruschel ◽

Francis E. Putz ◽

Phidias Marco ◽

...

Keyword(s):

Above Ground Biomass ◽

Ground Biomass ◽

Biomass Dynamics ◽

Reduced Impact Logging

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Controls of plant diversity attributes over above ground biomass in Sal forests of Eastern India

10.21203/rs.3.rs-33057/v1 ◽

2020 ◽

Author(s):

Rahul Kumar ◽

Amit Kumar ◽

Purabi Saikia

Keyword(s):

Climate Change ◽

Carbon Sequestration ◽

Plant Diversity ◽

Global Climate ◽

Basal Area ◽

Above Ground Biomass ◽

Eastern India ◽

Shorea Robusta ◽

Ground Biomass ◽

Indian Forests

Abstract Background Above ground biomass (AGB) is a useful measure for assessing changes in forest structure and functional, and play a significant role in studying carbon stocks, the effect of deforestation and carbon sequestration on the global carbon balance. The present study aimed to study the relationship between AGB and community parameters in Sal forests of Eastern India through stratified random sampling by lying 92 belt transects each of 0.5 ha size. Results It recorded a high AGB (410.70 Mg ha-1), and carbon stock (Cp) (193.06 Mg C ha-1), and forest wise AGB ranged from 0.19 to 24.75 Mg ha-1 (mean 4.45 ± 0.45 SE). The spatial pattern of AGB showed that maximum studied forests (65%) had very low AGB (<5.00 Mg ha-1), and only one forests (1%) located in the northwest corner of Ranchi had very high AGB (>20 Mg ha-1). Species wise AGB ranged from 0.001 to 7074.94 Mg ha-1 (mean 106 ± 71 SE) and Shorea robusta with maximum basal area (120.81 m2 ha−1) contributed maximum AGB (64.87% of the total AGB), however, no similar trends have been observed in any other tree species. A significant positive correlation was observed between AGB and Cp (r=1.00, p<0.01), H’ (r= .58, p<0.01), Dmg (r= .31, p<0.01), Dmn (r= .49, p<0.01), ENS (r= .57, p<0.01), E (r= .26, p<0.05), and basal area (r= 0.71, p<0.05). However, a negative correlation of AGB was evident with CD (r= -.57, p<0.01), and density (r= - 0.17). Conclusions The relationships differed greatly among plant diversity attributes, basal area, density, AGB, and Cp within and among various forests and the strongest relationships within each forests were always those having greater richness (Dmg, Dmn), diversity (H, ENS), basal area or evenness (E). Estimation of forest Cp enables us to assess the amount of carbon loss during deforestation or the amount of carbon stored during forest regeneration. The present study will directly help in studying the response of climate change on ecosystem productivity, energy and nutrient flow, and for assessing the patterns of carbon sequestration in Indian forests under global climate change.

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Do elephants over-utilize mopane woodlands in northern Botswana?

Journal of Tropical Ecology ◽

10.1017/s0266467400009731 ◽

1996 ◽

Vol 12 (4) ◽

pp. 505-515 ◽

Cited By ~ 28

Author(s):

Raphael Ben-Shahar

Keyword(s):

Biomass Production ◽

Growth Rates ◽

Above Ground Biomass ◽

Current Estimate ◽

Rainfall Gradient ◽

Ground Biomass ◽

Biomass Removal ◽

Elephant Population ◽

Trees And Shrubs ◽

Regional Rainfall

ABSTRACTEvidence from southern African semi-arid savannas suggests that high elephant densities in nature reserves cause the over-utilization of woodlands. Northern Botswana, with its prolific elephant population, is expected to follow such a pattern unless the densities of elephants which could be sustained by indigenous woodlands are determined and maintained at carrying capacity. Above ground biomass production was estimated for mopane (Colophospermum mopane) woodlands, a principal food source for elephants, which grows over much of northern Botswana. Densities of trees and shrubs, dimensions of plants and elephant densities were recorded within stratified plots situated according to a regional rainfall gradient. Mean estimates of above ground biomass (foliage and twigs) were 9.41 and 7.83 t ha−1 for shrubs and trees respectively. A logistic model described the maximum levels of biomass removal from plants before over-utilization of mopane occurred. Variables incorporated in the model included above ground biomass of mopane shrubs and trees, growth rates of plants and expected off-take by elephants. The model predicted a complete biomass regain within 10 y if no elephant browsing occurs. Intensive elephant browsing in woodlands containing 15 elephants km−2, however, can suppress biomass production if growth rates of plants fall below 70% of the maximum annual rate. Nonetheless, there was no substantial evidence to suggest that elephants will reduce the biomass of mopane woodlands in northern Botswana below a sustainable level if their numbers are allowed to increase considerably beyond the current estimate.

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Model Pendugaan Biomassa diatas Permukaan Tanah Jenis Eucalyptus Urophylla pada Hutan Tanaman

10.31227/osf.io/p36hd ◽

2018 ◽

Author(s):

Marulam Simarmata

Keyword(s):

Carbon Sink ◽

Global Climate ◽

Forest Plantations ◽

Eucalyptus Urophylla ◽

Above Ground Biomass ◽

Global Climate Changes ◽

Age Class ◽

Ground Biomass ◽

Pile Up ◽

Biomass Component

Although global climate changes issue after which talked a few times ago but worldconcern seriously after Earth High Confrence in Rio de Janeirio Brazil on 1992. Onesalternatives in controlling the carbon concentration is through development of sink program, inwhich organic carbon resulted from fotosyntesis is fixed in biomass of forest vegetation orwoody trees. Indonesia is very potential to develop carbon sink program because have thirdlargest areas of tropical rain forest after Brazil and Zaire.The most indicator to estimating forest potency for sink carbon is biomass. Biomassstudy is very important to studied forest ecosystem characteristic, expecially to analysismanagement system of sustainable principles. This research aim explain to ; 1) Now aboutabove ground biomass component of eucalyptus urophylla (trunk, branch and twigs) fromindustrial forest plantations of PT. Toba Pulp Lestari; 2) to pile up allometric similarity forestimate above ground biomass from industrial forest plantations of TP. Toba Pulp Lestari.Data of this research is collected with inventory of 21 trees sample from 7 age class. Thetrees sample is taken with purposive sampling and cut down. The biomass estimating whichused in this research is non destructive models with pile up al lometric similarity, to find faultcorrelation trees dimency with biomass. Choosing the best allometric similarity based oncriterias determination correlation (R), Mean Square Error (MSE) and Predicted Residual Sumof Square (PRESS) by Drapper et al, (1996).2 The result from this research that; 1) Above ground biomass can be enhanced more byriding age class; 2) Trunck has been the largest biomass proporcy without the biomassproporcy of branch and twigs; 3) The moisture contents can be enhanced by riding age classand 4) Dimencion of trees (dbh and h) is the best parameters for estimate about above groundbiomass.

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

FLORA AND FAUNA ◽

10.33451/florafauna.v23i2pp259-262 ◽

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.

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

Biogeosciences ◽

10.5194/bg-13-3343-2016 ◽

2016 ◽

Vol 13 (11) ◽

pp. 3343-3357 ◽

Cited By ~ 4

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.

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

Remote Sensing Applications Society and Environment ◽

10.1016/j.rsase.2020.100462 ◽

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

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

Environmental Sciences Proceedings ◽

10.3390/iecg2020-07916 ◽

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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