Roads as drivers of above‐ground biomass loss at tropical forest edges in Xishuangbanna, Southwest China

2019 ◽  
Vol 30 (11) ◽  
pp. 1325-1335 ◽  
Author(s):  
Dissanayake Mudiyanselage Naveen Ja Dissanayake ◽  
De‐Li Zhai ◽  
Gbadamassi Gouvide Olawole Dossa ◽  
Jipu Shi ◽  
Qinghui Luo ◽  
...  
Keyword(s):  
Tropical Forest ◽  
Southwest China ◽  
Forest Edges ◽  
Above Ground Biomass ◽  
Ground Biomass ◽  
Biomass Loss

Above ground biomass estimation in an African tropical forest with lidar and hyperspectral data

2014 ◽  
Vol 89 ◽  
pp. 49-58 ◽  
Author(s):  
Gaia Vaglio Laurin ◽  
Qi Chen ◽  
Jeremy A. Lindsell ◽  
David A. Coomes ◽  
Fabio Del Frate ◽  
...  
Keyword(s):  
Tropical Forest ◽  
Hyperspectral Data ◽  
Biomass Estimation ◽  
Above Ground Biomass ◽  
Ground Biomass

scholarly journals Have ozone effects on carbon sequestration been over-estimated? A new biomass response function for wheat

2014 ◽  
Vol 11 (4) ◽  
pp. 5511-5531
Author(s):  
H. Pleijel ◽  
H. Danielsson ◽  
D. Simpson ◽  
G. Mills
Keyword(s):  
Grain Yield ◽  
Response Function ◽  
Radiative Forcing ◽  
Ozone Exposure ◽  
Yield Response ◽  
Total Biomass ◽  
Response Functions ◽  
Above Ground Biomass ◽  
Ground Biomass ◽  
Biomass Loss

Abstract. Elevated levels of tropospheric ozone can significantly impair the growth of crops. The reduced removal of CO2 by plants leads to higher atmospheric concentrations of CO2, enhancing radiative forcing. Ozone effects on economic yield, e.g. the grain yield of wheat (Triticum aestivum L.) are currently used to model effects on radiative forcing. However, changes in grain yield do not necessarily reflect changes in total biomass. Based on analysis of 21 ozone exposure experiments with field-grown wheat, we investigated whether use of effects on grain yield as a~proxy for effects on biomass under- or over-estimates effects on biomass. First, we confirmed that effects on partitioning and biomass loss are both of significant importance for wheat yield loss. Then we derived ozone dose response functions for biomass loss and for harvest index (the proportion of above-ground biomass converted to grain) based on twelve experiments and recently developed ozone uptake modelling for wheat. Finally, we used a European scale chemical transport model (EMEP MSC-West) to assess the effect of ozone on biomass (−9%) and grain yield (−14%) loss over Europe. Based on yield data per grid square, we estimated above ground biomass losses due to ozone in 2000 in Europe totalling 22.2 million tonnes. Incorrectly applying the grain yield response function to model effects on biomass instead of the biomass response function of this paper would have indicated total above ground biomass losses totalling 38.1 million (i.e. overestimating effects by 15.9 million tonnes). A key conclusion from our study is that future assessments of ozone induced loss of agroecosystem carbon storage should use response functions for biomass, such as that provided in this paper, not grain yield, to avoid overestimation of the indirect radiative forcing from ozone effects on crop biomass accumulation.

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.

Above-ground biomass recovery following logging and thinning over 46 years in an Australian tropical forest

2020 ◽  
Vol 734 ◽  
pp. 139098 ◽  
Author(s):  
Jing Hu ◽  
John Herbohn ◽  
Robin L. Chazdon ◽  
Jack Baynes ◽  
Jerome K. Vanclay
Keyword(s):  
Tropical Forest ◽  
Above Ground Biomass ◽  
Ground Biomass ◽  
Biomass Recovery
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