Abstract:In response to the urgent need for improved mapping of global biomass and the lack of any 30 current space systems capable of addressing this need, the BIOMASS mission was proposed to the European Space Agency for the third cycle of Earth Explorer Core illustrates the ability of such a sensor to provide the required measurements.At present, the BIOMASS P-band radar appears to be the only sensor capable of providing the necessary global knowledge about the world's forest biomass and its changes. Inaddition, thi… Show more
“…7b and d). It is expected that biomass increments estimated by satellites such as the proposed BIOMASS mission (Le Toan et al, 2010) at several year interval could be used to infer NPP AGW for regenerating forests. Our results suggest that remote sensing biomass maps would allow rescaling of NPP AGW and mortality simulated by a DVM for forests for which there is no visible biomass increment, i.e.…”
Section: Discussion and Outlookmentioning
confidence: 99%
“…Recently, advances combining field data, remote sensing techniques and innovative statistical methods have provided new insights on the distribution of Above Ground Woody Biomass (AGWB) in Amazonia (Malhi et al, 2006;Saatchi et al, 2007). In the future, dedicated remote sensing mission such as the BIOMASS mission (ESA, 2008;Le Toan et al, 2010) will provide consistent, global, and gridded AGWB dataset at spatial resolution of 100 m, and will allow monitoring forest biomass lost due to disturbances and ensuing biomass increment. Consistency among recent maps suggests that the important regional variation in AGWB across Amazonia is not an artefact of measurement methods.…”
Abstract. Dynamic Vegetation Models (DVMs) simulate energy, water and carbon fluxes between the ecosystem and the atmosphere, between the vegetation and the soil, and between plant organs. They also estimate the potential biomass of a forest in equilibrium having grown under a given climate and atmospheric CO 2 level. In this study, we evaluate the Above Ground Woody Biomass (AGWB) and the above ground woody Net Primary Productivity (NPP AGW ) simulated by the DVM ORCHIDEE across Amazonian forests, by comparing the simulation results to a large set of ground measurements (220 sites for biomass, 104 sites for NPP AGW ). We found that the NPP AGW is on average overestimated by 63%. We also found that the fraction of biomass that is lost through mortality is 85% too high. These model biases nearly compensate each other to give an average simulated AGWB close to the ground measurement average. Nevertheless, the simulated AGWB spatial distribution differs significantly from the observations. Then, we analyse the discrepancies in biomass with regards to discrepancies in NPP AGW and those in the rate of mortality. When we correct for the error in NPP AGW , the errors on the spatial variations in AGWB are exacerbated, showing clearly that a large part of the misrepresentation of biomass comes from a wrong modelling of mortality processes.Correspondence to: N. Delbart (nicolas.delbart@lsce.ipsl.fr) Previous studies showed that Amazonian forests with high productivity have a higher mortality rate than forests with lower productivity. We introduce this relationship, which results in strongly improved modelling of biomass and of its spatial variations. We discuss the possibility of modifying the mortality modelling in ORCHIDEE, and the opportunity to improve forest productivity modelling through the integration of biomass measurements, in particular from remote sensing.
“…7b and d). It is expected that biomass increments estimated by satellites such as the proposed BIOMASS mission (Le Toan et al, 2010) at several year interval could be used to infer NPP AGW for regenerating forests. Our results suggest that remote sensing biomass maps would allow rescaling of NPP AGW and mortality simulated by a DVM for forests for which there is no visible biomass increment, i.e.…”
Section: Discussion and Outlookmentioning
confidence: 99%
“…Recently, advances combining field data, remote sensing techniques and innovative statistical methods have provided new insights on the distribution of Above Ground Woody Biomass (AGWB) in Amazonia (Malhi et al, 2006;Saatchi et al, 2007). In the future, dedicated remote sensing mission such as the BIOMASS mission (ESA, 2008;Le Toan et al, 2010) will provide consistent, global, and gridded AGWB dataset at spatial resolution of 100 m, and will allow monitoring forest biomass lost due to disturbances and ensuing biomass increment. Consistency among recent maps suggests that the important regional variation in AGWB across Amazonia is not an artefact of measurement methods.…”
Abstract. Dynamic Vegetation Models (DVMs) simulate energy, water and carbon fluxes between the ecosystem and the atmosphere, between the vegetation and the soil, and between plant organs. They also estimate the potential biomass of a forest in equilibrium having grown under a given climate and atmospheric CO 2 level. In this study, we evaluate the Above Ground Woody Biomass (AGWB) and the above ground woody Net Primary Productivity (NPP AGW ) simulated by the DVM ORCHIDEE across Amazonian forests, by comparing the simulation results to a large set of ground measurements (220 sites for biomass, 104 sites for NPP AGW ). We found that the NPP AGW is on average overestimated by 63%. We also found that the fraction of biomass that is lost through mortality is 85% too high. These model biases nearly compensate each other to give an average simulated AGWB close to the ground measurement average. Nevertheless, the simulated AGWB spatial distribution differs significantly from the observations. Then, we analyse the discrepancies in biomass with regards to discrepancies in NPP AGW and those in the rate of mortality. When we correct for the error in NPP AGW , the errors on the spatial variations in AGWB are exacerbated, showing clearly that a large part of the misrepresentation of biomass comes from a wrong modelling of mortality processes.Correspondence to: N. Delbart (nicolas.delbart@lsce.ipsl.fr) Previous studies showed that Amazonian forests with high productivity have a higher mortality rate than forests with lower productivity. We introduce this relationship, which results in strongly improved modelling of biomass and of its spatial variations. We discuss the possibility of modifying the mortality modelling in ORCHIDEE, and the opportunity to improve forest productivity modelling through the integration of biomass measurements, in particular from remote sensing.
“…Se ha demostrado que el uso de los desperdicios forestales (ramas, copas de árboles, tocones) y agrícolas para la generación de energía proporciona menores cantidades de emisión que el uso de combustibles fósiles [18], [41]- [43] con una disminución de entre el 11% y el 15% [44].…”
Section: Importancia De Los Bosquesunclassified
“…Entre sus fines está estimar las reservas de carbono almacenadas en los bosques [15] [16] [17], pues existen incertidumbres en cuanto a la disposición de las reservas de carbono debido a los cambios en el uso del suelo y la falta de conocimiento de los rebrotes [18]the BIOMASS mission was proposed to the European Space Agency for the third cycle of Earth Explorer Core missions and was selected for Feasibility Study (Phase A; por ejemplo, alrededor del 80% del carbono almacenado en la superficie de la tierra se encuentra en los bosques tropicales [19].…”
ResumenIntroducción− La causa principal del calentamiento global se debe al aumento de los gases de efecto invernadero que se han producido desde la revolución industrial. Se conoce que el dióxido de carbono (CO2) es el segundo gas que más aporta a esta problemática y que los bosques actúan como depósitos de carbono. De esta forma, los programas de reducción de emisiones por deforestación y degradación (REDD+) son un mecanismo de mitigación y adaptación al cambio climático; uno de sus propósitos es estimar la captura del carbono forestal.Objetivo− Estimar el contenido de biomasa aérea y de carbono almacenado en el ecosistema y, así mismo, en las diez especies con mayor índice de valor de importancia (IVI), conocer cuál es la especie con mayor reserva de carbono y conocer si existen diferencias significativas en las variables estructurales de las especies.Metodología− Las estimaciones de biomasa se realizaron mediante el método indirecto utilizando nueve ecuaciones alométricas que realizan esta estimación en función del diámetro a la altura del pecho (≥10 cm a 1.30 m) y la altura total. El carbono almacenado se calculó tomando el 50% de la biomasa estimada.Resultados− Para el ecosistema se estimaron 465,41 t/0.05 ha de biomasa aé-rea y 232,70 t/0.05 ha de carbono almacenado. La especie con el valor más alto de biomasa y carbono fue Anacardium excelsum.Conclusiones− Las diez especies con mayor IVI representan el 93,72% de la biomasa total del ecosistema; la más importante representa el 18,23% estando relacionado con las variables estructurales de la vegetación como el área basal y la altura total.
Palabras clave− Calentamiento global; carbono forestal; ecuaciones alométri-cas; IVI; variables estructurales
AbstractIntroduction− The main cause of global warming is the increase of greenhouse gases since the industrial revolution; taking into account that carbon dioxide (CO2) is the second bigger contributor to this problem; and that the forests act as reservoirs of carbon. The reduction of emissions by degradation programs (REDD +) are a mechanism of mitigation and adaptation to climate change, one of their objectives is to estimate the capture of forest carbon.Objective− This article aims to estimate the content of aerial biomass and stored carbon in the ecosystem, as well as in the ten species with the highest importance value index (IVI). This in order to know what is the species with the largest reserve of carbon and see whether there are differences in the structural variables of the species.Methodology− The biomass estimations were made using an indirect method with nine allometric equations that estimate according to the diameter at breast height (10 cm to 1.30 m) and the total height. The carbon stored is calculated by taking the 50% of the estimated biomass.Results− A value of 465.41 t/0.05 ha of aerial biomass and 232.70 t/0.05 ha of carbon stored were estimated for the ecosystem. The species with the highest value of biomass and carbon was Anacardium Excelsum.Conclusions− The ten species with the highest I...
“…The BIOMASS mission is a response to the urgent need for greatly improved mapping of global biomass and the lack of any current space systems capable of addressing this need. The objective of BIOMASS is to map the full range of the world's above-ground biomass with accuracy and spatial resolution compatible with the needs of national scale inventory and carbon flux calculations, and shall map changes in forest biomass [1]. The mission was proposed to the European Space Agency for the third cycle of Earth Explorer Core missions.…”
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