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
AUTHORS (12)
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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CITATIONS (49)
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