scholarly journals Patterns of above-ground biomass and its environmental drivers: an analysis based on plot-based surveys in the dry tropical forests and woodlands of southern Africa

2018 ◽  
Vol 6 ◽  
pp. 309-316
Author(s):  
Priscilla Sichone ◽  
Vera De Cauwer ◽  
António Valter Chisingui ◽  
Francisco Maiato P. Gonçalves ◽  
Manfred Finckh ◽  
...  
Keyword(s):  
Tropical Forests ◽  
Southern Africa ◽  
Environmental Drivers ◽  
Above Ground Biomass ◽  
Ground Biomass ◽  
Dry Tropical Forests

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 Phylogenetic diversity correlated with above‐ground biomass production during forest succession: Evidence from tropical forests in Southeast Asia

2018 ◽  
Vol 107 (3) ◽  
pp. 1419-1432 ◽  
Author(s):  
Manichanh Satdichanh ◽  
Huaixia Ma ◽  
Kai Yan ◽  
Gbadamassi G.O. Dossa ◽  
Leigh Winowiecki ◽  
...  
Keyword(s):  
Southeast Asia ◽  
Tropical Forests ◽  
Biomass Production ◽  
Phylogenetic Diversity ◽  
Forest Succession ◽  
Above Ground Biomass ◽  
Ground Biomass

Dry tropical forests and woodlands of the Cubango Basin in southern Africa – First classification and assessment of their woody species diversity

2018 ◽  
Vol 48 (1) ◽  
pp. 23-50 ◽  
Author(s):  
Rasmus Revermann ◽  
Jens Oldeland ◽  
Francisco Maiato Gonçalves ◽  
Jona Luther-Mosebach ◽  
Amândio Luis Gomes ◽  
...  
Keyword(s):  
Species Diversity ◽  
Tropical Forests ◽  
Southern Africa ◽  
Woody Species ◽  
Dry Tropical Forests ◽  
Woody Species Diversity

scholarly journals Allometric equations to estimate above-ground biomass of small-diameter mixed tree species in secondary tropical forests

2020 ◽  
Vol 13 (1) ◽  
pp. 165-174
Author(s):  
R Puc-Kauil ◽  
G Ángeles-Pérez ◽  
JR Valdéz-Lazalde ◽  
VJ Reyes-Hernández ◽  
JM Dupuy-Rada ◽  
...  
Keyword(s):  
Tropical Forests ◽  
Tree Species ◽  
Small Diameter ◽  
Allometric Equations ◽  
Above Ground Biomass ◽  
Ground Biomass

scholarly journals Mapping above-ground biomass in tropical forests with ground-cancelled P-band SAR and limited reference data

2021 ◽  
Vol 253 ◽  
pp. 112153
Author(s):  
Maciej J. Soja ◽  
Shaun Quegan ◽  
Mauro M. d’Alessandro ◽  
Francesco Banda ◽  
Klaus Scipal ◽  
...  
Keyword(s):  
Tropical Forests ◽  
Reference Data ◽  
Above Ground Biomass ◽  
Ground Biomass

scholarly journals Approaches of Satellite Remote Sensing for the Assessment of Above-Ground Biomass across Tropical Forests: Pan-tropical to National Scales

2020 ◽  
Vol 12 (20) ◽  
pp. 3351
Author(s):  
Sawaid Abbas ◽  
Man Sing Wong ◽  
Jin Wu ◽  
Naeem Shahzad ◽  
Syed Muhammad Irteza
Keyword(s):  
Remote Sensing ◽  
Land Use ◽  
Carbon Sequestration ◽  
Tropical Forest ◽  
Tropical Forests ◽  
Satellite Remote Sensing ◽  
Forest Cover ◽  
Above Ground Biomass ◽  
Forest Cover Change ◽  
Ground Biomass

Tropical forests are acknowledged for providing important ecosystem services and are renowned as “the lungs of the planet Earth” due to their role in the exchange of gasses—particularly inhaling CO2 and breathing out O2—within the atmosphere. Overall, the forests provide 50% of the total plant biomass of the Earth, which accounts for 450–650 PgC globally. Understanding and accurate estimates of tropical forest biomass stocks are imperative in ascertaining the contribution of the tropical forests in global carbon dynamics. This article provides a review of remote-sensing-based approaches for the assessment of above-ground biomass (AGB) across the tropical forests (global to national scales), summarizes the current estimate of pan-tropical AGB, and discusses major advancements in remote-sensing-based approaches for AGB mapping. The review is based on the journal papers, books and internet resources during the 1980s to 2020. Over the past 10 years, a myriad of research has been carried out to develop methods of estimating AGB by integrating different remote sensing datasets at varying spatial scales. Relationships of biomass with canopy height and other structural attributes have developed a new paradigm of pan-tropical or global AGB estimation from space-borne satellite remote sensing. Uncertainties in mapping tropical forest cover and/or forest cover change are related to spatial resolution; definition adapted for ‘forest’ classification; the frequency of available images; cloud covers; time steps used to map forest cover change and post-deforestation land cover land use (LCLU)-type mapping. The integration of products derived from recent Synthetic Aperture Radar (SAR) and Light Detection and Ranging (LiDAR) satellite missions with conventional optical satellite images has strong potential to overcome most of these uncertainties for recent or future biomass estimates. However, it will remain a challenging task to map reference biomass stock in the 1980s and 1990s and consequently to accurately quantify the loss or gain in forest cover over the periods. Aside from these limitations, the estimation of biomass and carbon balance can be enhanced by taking account of post-deforestation forest recovery and LCLU type; land-use history; diversity of forest being recovered; variations in physical attributes of plants (e.g., tree height; diameter; and canopy spread); environmental constraints; abundance and mortalities of trees; and the age of secondary forests. New methods should consider peak carbon sink time while developing carbon sequestration models for intact or old-growth tropical forests as well as the carbon sequestration capacity of recovering forest with varying levels of floristic diversity.

The impact of selective logging and clearcutting on forest structure, tree diversity and above-ground biomass of African tropical forests

2014 ◽  
Vol 30 (1) ◽  
pp. 119-132 ◽  
Author(s):  
Roberto Cazzolla Gatti ◽  
Simona Castaldi ◽  
Jeremy A. Lindsell ◽  
David A. Coomes ◽  
Marco Marchetti ◽  
...  
Keyword(s):  
Tropical Forests ◽  
Forest Structure ◽  
Tree Diversity ◽  
Selective Logging ◽  
Above Ground Biomass ◽  
Ground Biomass ◽  
Structure Tree ◽  
The Impact

scholarly journals Above-ground biomass and structure of 260 African tropical forests

2013 ◽  
Vol 368 (1625) ◽  
pp. 20120295 ◽  
Author(s):  
Simon L. Lewis ◽  
Bonaventure Sonké ◽  
Terry Sunderland ◽  
Serge K. Begne ◽  
Gabriela Lopez-Gonzalez ◽  
...  
Keyword(s):  
Tropical Forests ◽  
Positive Relationship ◽  
Mass Density ◽  
Negative Relationship ◽  
Congo Basin ◽  
Stem Density ◽  
Above Ground Biomass ◽  
African Countries ◽  
Ground Biomass ◽  
Closed Canopy

We report above-ground biomass (AGB), basal area, stem density and wood mass density estimates from 260 sample plots (mean size: 1.2 ha) in intact closed-canopy tropical forests across 12 African countries. Mean AGB is 395.7 Mg dry mass ha −1 (95% CI: 14.3), substantially higher than Amazonian values, with the Congo Basin and contiguous forest region attaining AGB values (429 Mg ha −1 ) similar to those of Bornean forests, and significantly greater than East or West African forests. AGB therefore appears generally higher in palaeo- compared with neotropical forests. However, mean stem density is low (426 ± 11 stems ha −1 greater than or equal to 100 mm diameter) compared with both Amazonian and Bornean forests (cf. approx. 600) and is the signature structural feature of African tropical forests. While spatial autocorrelation complicates analyses, AGB shows a positive relationship with rainfall in the driest nine months of the year, and an opposite association with the wettest three months of the year; a negative relationship with temperature; positive relationship with clay-rich soils; and negative relationships with C : N ratio (suggesting a positive soil phosphorus–AGB relationship), and soil fertility computed as the sum of base cations. The results indicate that AGB is mediated by both climate and soils, and suggest that the AGB of African closed-canopy tropical forests may be particularly sensitive to future precipitation and temperature changes.

scholarly journals Above-Ground Biomass Retrieval over Tropical Forests: A Novel GNSS-R Approach with CyGNSS

2020 ◽  
Vol 12 (9) ◽  
pp. 1368 ◽  
Author(s):  
Hugo Carreno-Luengo ◽  
Guido Luzi ◽  
Michele Crosetto
Keyword(s):  
Soil Moisture ◽  
Tropical Forests ◽  
Empirical Relationship ◽  
Global Navigation Satellite Systems ◽  
Navigation Satellite ◽  
Above Ground Biomass ◽  
Laser Altimeter ◽  
Ground Biomass ◽  
Global Navigation ◽  
Global Navigation Satellite

An assessment of the National Aeronautics and Space Administration NASA’s Cyclone Global Navigation Satellite System (CyGNSS) mission for biomass studies is presented in this work on rain, coniferous, dry, and moist tropical forests. The main objective is to investigate the capability of Global Navigation Satellite Systems Reflectometry (GNSS-R) for biomass retrieval over dense forest canopies from a space-borne platform. The potential advantage of CyGNSS, as compared to monostatic Synthetic Aperture Radar (SAR) missions, relies on the increasing signal attenuation by the vegetation cover, which gradually reduces the coherent scattering component σ coh , 0 . This term can only be collected in a bistatic radar geometry. This point motivates the study of the relationship between several observables derived from Delay Doppler Maps (DDMs) with Above-Ground Biomass (AGB). This assessment is performed at different elevation angles θ e as a function of Canopy Height (CH). The selected biomass products are obtained from data collected by the Geoscience Laser Altimeter System (GLAS) instrument on-board the Ice, Cloud, and land Elevation Satellite (ICESat-1). An analysis based on the first derivative of the experimentally derived polynomial fitting functions shows that the sensitivity requirements of the Trailing Edge TE and the reflectivity Γ reduce with increasing biomass up to ~ 350 and ~ 250 ton/ha over the Congo and Amazon rainforests, respectively. The empirical relationship between TE and Γ with AGB is further evaluated at optimum angular ranges using Soil Moisture Active Passive (SMAP)-derived Vegetation Optical Depth ( VOD ), and the Polarization Index ( PI ). Additionally, the potential influence of Soil Moisture Content (SMC) is investigated over forests with low AGB.

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