Human and environmental controls over aboveground carbon storage in Madagascar

émission atmosphérique aboveground carbon density télédétection forêt tropicale couverture végétale http://aims.fao.org/aos/agrovoc/c_7427 gaz à effet de serre http://aims.fao.org/aos/agrovoc/c_34841 GE1-350 Carnegie Airborne Observatory http://aims.fao.org/aos/agrovoc/c_37876 http://aims.fao.org/aos/agrovoc/c_4510 http://aims.fao.org/aos/agrovoc/c_330808 http://aims.fao.org/aos/agrovoc/c_6498 Global and Planetary Change 04 agricultural and veterinary sciences méthodologie B10 - Géographie carbon stocks séquestration du carbone http://aims.fao.org/aos/agrovoc/c_926 http://aims.fao.org/aos/agrovoc/c_25409 surveillance de l'environnement http://aims.fao.org/aos/agrovoc/c_4668 P01 - Conservation de la nature et ressources foncières CLASlite tropical forest LiDAR F40 - Écologie végétale http://aims.fao.org/aos/agrovoc/c_1374571087594 http://aims.fao.org/aos/agrovoc/c_24420 P40 - Météorologie et climatologie http://aims.fao.org/aos/agrovoc/c_37938 REDD stockage Earth and Planetary Sciences(all) Management, Monitoring, Policy and Law télémétrie http://aims.fao.org/aos/agrovoc/c_24904 biomasse http://aims.fao.org/aos/agrovoc/c_1344 http://aims.fao.org/aos/agrovoc/c_8176 http://aims.fao.org/aos/agrovoc/c_1301 végétation atténuation des effets du changement climatique mesure (activité) http://aims.fao.org/aos/agrovoc/c_24134 biomass Research 15. Life on land http://aims.fao.org/aos/agrovoc/c_331583 Environmental sciences 13. Climate action cartographie 0401 agriculture, forestry, and fisheries carbone impact sur l'environnement U30 - Méthodes de recherche http://aims.fao.org/aos/agrovoc/c_12522 évaluation de l'impact
DOI: 10.1186/1750-0680-7-2 Publication Date: 2012-01-31T14:16:32Z
ABSTRACT
Accurate, high-resolution mapping of aboveground carbon density (ACD, Mg C ha-1) could provide insight into human and environmental controls over ecosystem state functioning, support conservation climate policy development. However, ACD has proven challenging, particularly in spatially complex regions harboring a mosaic land use activities, or remote montane areas that are difficult to access poorly understood ecologically. Using combination field measurements, airborne Light Detection Ranging (LiDAR) satellite data, we present the first large-scale, estimates stocks Madagascar.We found elevation fraction photosynthetic vegetation (PV) cover, analyzed throughout forests widely varying structure condition, account for 27-67% spatial variation ACD. This finding facilitated extrapolation LiDAR-based total 2,372,680 ha using data. Remote, humid sub-montane harbored highest densities, while was suppressed dry spiny ecosystems, as well most lowland with heightened activity. Independent activity, were subject strong physiographic expressed through tropical forest canopy measured LiDAR.High-resolution is possible regions, without thus monitoring can be brought highly endangered Malagasy climate-change mitigation biological strategy.
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