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  • Energy Research
  • 13. Climate action
  • 15. Life on land
  • BE
  • IT
  • French

  • Authors: Pollo A.; Rinaldi S.; Zampollo A.; Chiarle M.; +2 Authors

    Air temperature is one of the most important variables of high altitude mountain climate, however it is often difficult to measure it because of the shortage of active weather stations. In order to estimate this variable locally and accurately, it may be useful to refer to data from the lowest altitude weather stations and to apply the local vertical thermal gradient. From semi-hourly or hourly temperatures, monthly and seasonal vertical thermal gradients were calculated. In all cases, we obtained different values from the standard thermal gradient: they oscillate on average between -1.2 ° C / 100 m and 1.9 ° C / 100 m. The average monthly and seasonal values vary considerably between the pairs of stations studied. A better knowledge of the temperature of high altitude zones allows the realization of models of spatial distribution of temperatures at fine scales, which are crucial for scientific research.

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    CNR ExploRA
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      CNR ExploRA
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  • image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    Authors: Adeline Fayolle; Jean-Joël Loumeto; Jean-Louis Doucet; Grace Jopaul Loubota Panzou; +2 Authors

    Introduction. Quantifier les stocks de biomasse et de carbone contenus dans les forêts tropicales est devenu une priorité internationale dans le cadre de la mise en œuvre du mécanisme REDD+. La biomasse forestière est estimée à trois échelles spatiales successives : l’arbre, le peuplement et la région. Cet article propose une synthèse des connaissances sur l’estimation de la biomasse et des stocks de carbone contenus dans les forêts tropicales africaines.Littérature. Cette synthèse bibliographique démontre que peu d’équations allométriques, équations qui permettent d’estimer la biomasse de l’arbre à partir de mesures non destructives (diamètre, hauteur), ont été établies pour les forêts tropicales africaines. Au niveau du peuplement, cette synthèse met en exergue les variations spatiales et temporelles connues de la biomasse entre les types de forêts d’Afrique tropicale. Si la reconstitution de la biomasse après une perturbation (l’exploitation forestière, par exemple) est relativement rapide, il existe encore beaucoup d’incertitudes sur les variations spatiales de la biomasse et il n’y a pas de consensus sur une cartographie régionale de la biomasse. La qualité de la cartographie de la biomasse dépend fortement des différents capteurs utilisés (optique, RADAR ou LiDAR) et de l’équation allométrique utilisée pour convertir les données d’inventaires forestiers en biomasse.Conclusions. Considérant le manque de précision des équations allométriques disponibles et des données d’inventaires forestiers à large échelle spatiale, il y a encore beaucoup d’incertitudes sur les estimations de la biomasse et des stocks de carbone contenus dans les forêts tropicales africaines. Biomass and carbon stocks of tropical African forests. A reviewIntroduction. Quantifying the biomass and carbon stocks contained in tropical forests has become an international priority for the implementation of the REDD+ mechanism. Forest biomass is estimated at three successive levels: the tree, the stand and the region level. This paper reviews the state of the art regarding the estimation of biomass and carbon stocks in tropical African forests.Literature. This review highlights the fact that very few allometric equations, equations used for estimating the biomass of the tree using non-destructive measurements (diameter, height), have been established for tropical African forests. At the stand level, the review highlights the spatial and temporal variations in biomass between forest types in Central and Eastern Africa. While biomass recovery after a disturbance (logging, for instance) is rather quick, a great deal of uncertainty still remains regarding the spatial variation in biomass, and there is no consensus on a regional biomass map. The quality of biomass mapping in tropical Africa strongly depends on the type of remotely-sensed data being used (optical, RADAR or LIDAR), and the allometric equation used to convert forest inventory data into biomass.Conclusions. Based on the lack of precision of the available allometric equations and forest inventory data and the large spatial scale involved, many uncertainties persist in relation to the estimation of the biomass and carbon stocks contained in African tropical forests.

    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ Biotechnologie, Agro...arrow_drop_down
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    Biotechnologie, Agronomie, Société et Environnement
    Article . 2016 . Peer-reviewed
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      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ Biotechnologie, Agro...arrow_drop_down
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      Biotechnologie, Agronomie, Société et Environnement
      Article . 2016 . Peer-reviewed
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    Authors: Alain Dassargues;

    Traditionnellement, seule la géothermie profonde était envisagée. Actuellement, les différentes formes de géothermies peu profondes et de faible enthalpie sont plus accessibles car elles présentent moins de risques financiers et environnementaux. Leur multiplication, notamment pour couvrir les besoins énergétiques de (gros ou nombreux) bâtiments, permet à ces systèmes de participer pleinement à la transition énergétique en cours. Ces systèmes géothermiques peu profonds ne requièrent aucune anomalie du gradient géothermique local. Néanmoins, lorsque des pompages et réinjections sont envisagés dans des aquifères peu profonds, les conditions hydrogéologiques influencent fortement l’efficacité (rendement) et la durabilité des systèmes installés mais aussi leur éventuel impact sur la quantité et la qualité des ressources en eaux souterraines. Les différents types de systèmes géothermiques peu profonds sont brièvement présentés, puis l’accent est mis sur les systèmes par doublets en aquifère et sur les anciennes mines.

    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ Bulletin de la Socié...arrow_drop_down
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  • Authors: Pollo A.; Rinaldi S.; Zampollo A.; Chiarle M.; +2 Authors

    Air temperature is one of the most important variables of high altitude mountain climate, however it is often difficult to measure it because of the shortage of active weather stations. In order to estimate this variable locally and accurately, it may be useful to refer to data from the lowest altitude weather stations and to apply the local vertical thermal gradient. From semi-hourly or hourly temperatures, monthly and seasonal vertical thermal gradients were calculated. In all cases, we obtained different values from the standard thermal gradient: they oscillate on average between -1.2 ° C / 100 m and 1.9 ° C / 100 m. The average monthly and seasonal values vary considerably between the pairs of stations studied. A better knowledge of the temperature of high altitude zones allows the realization of models of spatial distribution of temperatures at fine scales, which are crucial for scientific research.

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    CNR ExploRA
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      CNR ExploRA
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  • image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    Authors: Adeline Fayolle; Jean-Joël Loumeto; Jean-Louis Doucet; Grace Jopaul Loubota Panzou; +2 Authors

    Introduction. Quantifier les stocks de biomasse et de carbone contenus dans les forêts tropicales est devenu une priorité internationale dans le cadre de la mise en œuvre du mécanisme REDD+. La biomasse forestière est estimée à trois échelles spatiales successives : l’arbre, le peuplement et la région. Cet article propose une synthèse des connaissances sur l’estimation de la biomasse et des stocks de carbone contenus dans les forêts tropicales africaines.Littérature. Cette synthèse bibliographique démontre que peu d’équations allométriques, équations qui permettent d’estimer la biomasse de l’arbre à partir de mesures non destructives (diamètre, hauteur), ont été établies pour les forêts tropicales africaines. Au niveau du peuplement, cette synthèse met en exergue les variations spatiales et temporelles connues de la biomasse entre les types de forêts d’Afrique tropicale. Si la reconstitution de la biomasse après une perturbation (l’exploitation forestière, par exemple) est relativement rapide, il existe encore beaucoup d’incertitudes sur les variations spatiales de la biomasse et il n’y a pas de consensus sur une cartographie régionale de la biomasse. La qualité de la cartographie de la biomasse dépend fortement des différents capteurs utilisés (optique, RADAR ou LiDAR) et de l’équation allométrique utilisée pour convertir les données d’inventaires forestiers en biomasse.Conclusions. Considérant le manque de précision des équations allométriques disponibles et des données d’inventaires forestiers à large échelle spatiale, il y a encore beaucoup d’incertitudes sur les estimations de la biomasse et des stocks de carbone contenus dans les forêts tropicales africaines. Biomass and carbon stocks of tropical African forests. A reviewIntroduction. Quantifying the biomass and carbon stocks contained in tropical forests has become an international priority for the implementation of the REDD+ mechanism. Forest biomass is estimated at three successive levels: the tree, the stand and the region level. This paper reviews the state of the art regarding the estimation of biomass and carbon stocks in tropical African forests.Literature. This review highlights the fact that very few allometric equations, equations used for estimating the biomass of the tree using non-destructive measurements (diameter, height), have been established for tropical African forests. At the stand level, the review highlights the spatial and temporal variations in biomass between forest types in Central and Eastern Africa. While biomass recovery after a disturbance (logging, for instance) is rather quick, a great deal of uncertainty still remains regarding the spatial variation in biomass, and there is no consensus on a regional biomass map. The quality of biomass mapping in tropical Africa strongly depends on the type of remotely-sensed data being used (optical, RADAR or LIDAR), and the allometric equation used to convert forest inventory data into biomass.Conclusions. Based on the lack of precision of the available allometric equations and forest inventory data and the large spatial scale involved, many uncertainties persist in relation to the estimation of the biomass and carbon stocks contained in African tropical forests.

    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ Biotechnologie, Agro...arrow_drop_down
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    Biotechnologie, Agronomie, Société et Environnement
    Article . 2016 . Peer-reviewed
    Data sources: Crossref
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    Authors: Alain Dassargues;

    Traditionnellement, seule la géothermie profonde était envisagée. Actuellement, les différentes formes de géothermies peu profondes et de faible enthalpie sont plus accessibles car elles présentent moins de risques financiers et environnementaux. Leur multiplication, notamment pour couvrir les besoins énergétiques de (gros ou nombreux) bâtiments, permet à ces systèmes de participer pleinement à la transition énergétique en cours. Ces systèmes géothermiques peu profonds ne requièrent aucune anomalie du gradient géothermique local. Néanmoins, lorsque des pompages et réinjections sont envisagés dans des aquifères peu profonds, les conditions hydrogéologiques influencent fortement l’efficacité (rendement) et la durabilité des systèmes installés mais aussi leur éventuel impact sur la quantité et la qualité des ressources en eaux souterraines. Les différents types de systèmes géothermiques peu profonds sont brièvement présentés, puis l’accent est mis sur les systèmes par doublets en aquifère et sur les anciennes mines.

    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ Bulletin de la Socié...arrow_drop_down
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