Satellite estimation of tropical secondary forest above-ground biomass: Data from Brazil and Bolivia

2000 ◽  
Vol 21 (6-7) ◽  
pp. 1139-1157 ◽  
Author(s):  
M. K. Steininger
2019 ◽  
Vol 20 (9) ◽  
Author(s):  
Karyati Karyati ◽  
ISA B. IPOR ◽  
ISMAIL JUSOH ◽  
MOHD. EFFENDI WASLI

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.


2021 ◽  
Vol 17 (40) ◽  
pp. 1
Author(s):  
Luc Kimpolo ◽  
Saint Fédriche Ndzai, ◽  
Félix Koubouana

Sustainable forest management remains a major challenge for the international and local community in addressing deforestation and forest degradation. These forests are now experiencing a very marked degradation, mainly caused by agricultural practices. This study assessed the floristic richness and the stock of aerial carbon in order to contribute to a better knowledge of the natural resources of this forest. Five plots of 50m each have been installed with a total area of 12,500m² or 1,25ha. All trees of Diameter to Chest Height (DHP) ≥ 10cm were surveyed at 1.30m from the soil in each plot. Species richness, ecological spectrum, floristic diversity indices, and structural parameters were studied. Above-ground biomass was calculated using Djomo's allometric equation and carbon estimation by above-ground biomass x 0.47. The floristic inventory helped to identify 309 trees that were inventoried, comprising 79 species, 63 genera, and 32 families. The family of Annonaceae (11.39 %) is the most qualitatively represented while that of Olacaceae (11.65%) is the most quantitatively represented. Diversity indices tend to be 5, while density per hectare and average basal area are 247 trees and 10.71 m²/ha. The average calculated aboveground biomass is 311.76tC/ha and the average carbon stock is 89.5tC/ha. This study shows that the forest in this area can be classified as a highly disturbed secondary forest. La gestion durable des forêts reste un problème majeur que doit faire face la communauté internationale et locale dans la lutte contre la déforestation et la dégradation des forêts. Ces forêts connaissent de nos jours une dégradation très accentuée principalement causée par les pratiques agricoles. Cette étude a pour objectif d’évaluer la richesse floristique et d’estimer le stock de carbone aérien afin de contribuer à une meilleure connaissance des ressources naturelles de cette forêt du Mayombe en général et celle du village Kissila en particulier. Cinq parcelles de 50 m de côté chacune ont été installées avec une superficie totale de 12.500 m² soit 1,25 ha. Tous les arbres de Diamètre à Hauteur de la Poitrine (DHP) ≥10 cm ont été inventoriés à 1,30 m du sol dans chaque parcelle. La richesse spécifique, le spectre écologique, les indices de diversité floristique, ainsi que les paramètres structuraux ont été étudiés. La biomasse aérienne a été calculée à partir de l’équation allométrique de Djomo et l’estimation du carbone par la biomasse aérienne x 0,47. L’inventaire floristique a permis d’identifier 309 arbres répartis en 79 espèces, 63 genres et 32 familles. La famille des Annonaceae (11,39 %°) est la plus représentée qualitativement et celle des Olacaceae quantitativement (11,65%). Les indices de diversité de Shannon tendent vers 5, la densité à l’hectare et la surface terrière moyenne sont de 247 arbres et 10,71 m²/ha. La biomasse aérienne moyenne calculée est de 311,76tC/ha et le stock de carbone aérien moyen est de 89,5 tC/ha. Cette étude montre que la forêt de cette zone peut être classée comme une forêt secondaire fortement perturbée.


2021 ◽  
Vol 42 (13) ◽  
pp. 4989-5013
Author(s):  
Henrique Luis Godinho Cassol ◽  
Luiz Eduardo De Oliveira E Cruz De Aragão ◽  
Elisabete Caria Moraes ◽  
João Manuel De Brito Carreiras ◽  
Yosio Edemir Shimabukuro

2017 ◽  
Vol 23 (2) ◽  
Author(s):  
AFSHAN ANJUM BABA ◽  
SYED NASEEM UL-ZAFAR GEELANI ◽  
ISHRAT SALEEM ◽  
MOHIT HUSAIN ◽  
PERVEZ AHMAD KHAN ◽  
...  

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.


2016 ◽  
Vol 13 (11) ◽  
pp. 3343-3357 ◽  
Author(s):  
Zun Yin ◽  
Stefan C. Dekker ◽  
Bart J. J. M. van den Hurk ◽  
Henk A. Dijkstra

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.


2021 ◽  
Vol 21 ◽  
pp. 100462
Author(s):  
Sadhana Yadav ◽  
Hitendra Padalia ◽  
Sanjiv K. Sinha ◽  
Ritika Srinet ◽  
Prakash Chauhan

2020 ◽  
Vol 5 (1) ◽  
pp. 13
Author(s):  
Negar Tavasoli ◽  
Hossein Arefi

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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