6533b839fe1ef96bd12a6610

RESEARCH PRODUCT

Modelling forest decline using SMOS soil moisture and vegetation optical depth

David ChaparroMercè Vall-llosseraJordi VayredaA. CampsMireia Banqué-casanovasJ. Martinez VilaltaMaria Piles

subject

0106 biological sciences010504 meteorology & atmospheric sciencesArtificial satellites in navigationClimate changeGlobal change010603 evolutionary biology01 natural sciencesMonitoring programForest declineSalinitySatèl·lits artificials en navegacióHydric soil:Enginyeria de la telecomunicació::Radiocomunicació i exploració electromagnètica::Teledetecció [Àrees temàtiques de la UPC]Soil waterEnvironmental scienceClimate changeVegetation optical depthPhysical geography:Enginyeria de la telecomunicació::Radiocomunicació i exploració electromagnètica::Satèl·lits i ràdioenllaços [Àrees temàtiques de la UPC]Soil moistureSòls -- HumitatWater cycleWater content0105 earth and related environmental sciencesSMOS

description

Global change is increasing the risk of forest decline worldwide, impacting carbon and water cycles. Hence, there is an urgent need for predicting forest decline occurrence. To that purpose, this study links forest decline events in Catalonia, detected by the DEBOSCAT forest monitoring program, with information from the Soil Moisture and Ocean Salinity (SMOS) satellite. Firstly, this study reviews the role of the SMOS soil moisture in a previous forest decline episode occurred in 2012, where the authors concluded that dry soils increased the probability of observing decline in broadleaved forests. Secondly, the present study detects that forest decline in 2012 and 2016 was linked to very dry soil conditions (generally with SM<;0.06 m 3 ·m -3 ). A similar analysis is proposed using SMOS Vegetation Optical Depth (VOD) data, which is a proxy of vegetation hydric status. Results and preliminary models will be presented at IGARSS 2018. Peer Reviewed

yearjournalcountryeditionlanguage
2018-07-01
http://hdl.handle.net/2117/127623