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Drought sensitiveness on forest growth in peninsular Spain and the Balearic Islands / Marina Peña-Gallardo in Forests, vol 9 n° 9 (September 2018)  

Public [article]  inForests > vol 9 n° 9 (September 2018) Titre : Drought sensitiveness on forest growth in peninsular Spain and the Balearic Islands Type de document : Article/Communication Auteurs : Marina Peña-Gallardo, Auteur ; S.M. Vicente-Serrano, Auteur ; J. Julio Camarero, Auteur ; et al., Auteur Année de publication : 2018 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Végétation [Termes IGN] analyse de sensibilité [Termes IGN] Baléares, îles [Termes IGN] croissance des arbres [Termes IGN] dendrochronologie [Termes IGN] Espagne [Termes IGN] forêt méditerranéenne [Termes IGN] indice d'humidité [Termes IGN] Normalized Difference Vegetation Index [Termes IGN] productivité [Termes IGN] sécheresse Résumé : (Auteur) Drought is one of the key natural hazards impacting net primary production and tree growth in forest ecosystems. Nonetheless, tree species show different responses to drought events, which make it difficult to adopt fixed tools for monitoring drought impacts under contrasting environmental and climatic conditions. In this study, we assess the response of forest growth and a satellite proxy of the net primary production (NPP) to drought in peninsular Spain and the Balearic Islands, a region characterized by complex climatological, topographical, and environmental characteristics. Herein, we employed three different indicators based on in situ measurements and satellite image-derived vegetation information (i.e., tree-ring width, maximum annual greenness, and an indicator of NPP). We used seven different climate drought indices to assess drought impacts on the tree variables analyzed. The selected drought indices include four versions of the Palmer Drought Severity Index (PDSI, Palmer Hydrological Drought Index (PHDI), Z-index, and Palmer Modified Drought Index (PMDI)) and three multi-scalar indices (Standardized Precipitation Evapotranspiration Index (SPEI), Standardized Precipitation Index (SPI), and Standardized Precipitation Drought Index (SPDI)). Our results suggest that—irrespective of drought index and tree species—tree-ring width shows a stronger response to interannual variability of drought, compared to the greenness and the NPP. In comparison to other drought indices (e.g., PDSI), and our results demonstrate that multi-scalar drought indices (e.g., SPI, SPEI) are more advantageous in monitoring drought impacts on tree-ring growth, maximum greenness, and NPP. This finding suggests that multi-scalar indices are more appropriate for monitoring and modelling forest drought in peninsular Spain and the Balearic Islands. Numéro de notice : A2018-504 Affiliation des auteurs : non IGN Thématique : FORET Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.3390/f9090524 Date de publication en ligne : 30/08/2018 En ligne : https://doi.org/10.3390/f9090524 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=91217 [article]

Early prediction of crop production using drought indices at different time-scales and remote sensing data: application in the Ebro Valley (north-east Spain) / S.M. Vicente-Serrano in International Journal of Remote Sensing IJRS, vol 27 n°1-2 (January 2006)  

Public [article]  inInternational Journal of Remote Sensing IJRS > vol 27 n°1-2 (January 2006) . - pp 511 - 518 Titre : Early prediction of crop production using drought indices at different time-scales and remote sensing data: application in the Ebro Valley (north-east Spain) Type de document : Article/Communication Auteurs : S.M. Vicente-Serrano, Auteur ; J.M. Cuadrat-Prats, Auteur ; A. Romos, Auteur Année de publication : 2006 Article en page(s) : pp 511 - 518 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection [Termes IGN] blé (céréale) [Termes IGN] Espagne [Termes IGN] indice de végétation [Termes IGN] modèle de simulation [Termes IGN] orge (céréale) [Termes IGN] production agricole [Termes IGN] sécheresse [Termes IGN] zone aride Résumé : (Auteur) This letter shows the results of early crop prediction from combined use of AVHRR-NDVI data and drought indices at different time-scales. The study was carried out inan agricultural municipality located in the Middle Ebro valley, one of the most arid regions in Europe. The methodology proposed here has allowed the prediction of wheat and barley production in February, four months before harvest. Moreover, the predictive models created have explained 88% and 82% of the temporal variability of wheat and barley production respectively. This procedure could be every useful for managing crop production at a municipal level. Moreover, insurance companies could take advantage of the early prediction of crop losses, which are very frequent in this drought-affected area. Numéro de notice : A2006-062 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/01431160500296032 En ligne : https://doi.org/10.1080/01431160500296032 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=83009 [article]

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Mapping soil moisture in the central Ebro river valley (NorthEast Spain) with Landsat and NOAA satellite imagery: a comparison with meteorological data / S.M. Vicente-Serrano in International Journal of Remote Sensing IJRS, vol 25 n° 20 (October 2004)  

Public [article]  inInternational Journal of Remote Sensing IJRS > vol 25 n° 20 (October 2004) . - pp 4325 - 4350 Titre : Mapping soil moisture in the central Ebro river valley (NorthEast Spain) with Landsat and NOAA satellite imagery: a comparison with meteorological data Type de document : Article/Communication Auteurs : S.M. Vicente-Serrano, Auteur ; X. Pons-Fernandez, Auteur ; et al., Auteur Année de publication : 2004 Article en page(s) : pp 4325 - 4350 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection [Termes IGN] carte thématique [Termes IGN] données de terrain [Termes IGN] données météorologiques [Termes IGN] Ebre (bassin) [Termes IGN] Espagne [Termes IGN] flore locale [Termes IGN] humidité du sol [Termes IGN] image Landsat-ETM+ [Termes IGN] image NOAA-AVHRR [Termes IGN] sécheresse [Termes IGN] stress hydrique [Termes IGN] température au sol [Termes IGN] vallée [Termes IGN] zone humide Résumé : (Auteur) This paper analyses and maps the spatial distribution of soil moisture using remote sensing: National Oceanic and Atmospheric Administration (NOAA) Advanced Very High Resolution Radiometer (AVHRR) and Landsat-Enhanced Thematic Mapper (ETM+) images. The study was carried out in the central Ebro river valley (northeast Spain), and examines the spatial relationships between the distribution of soil moisture and several meteorological and geographical variables following a long, intense dry period (winter 2000). Soil moisture estimates were obtained using thermal, visible and near-infrared data and by applying the 'triangle method', which describes relationships between surface temperature (Ts) and fractional vegetation cover (Fr). Low differences were found between the soil moisture estimates obtained using AVHRR and ETM+ sensors. Soil moisture estimated using remote sensing is close to estimations obtained from climate indices. This fact, and the high similarity between estimations of both sensors, suggests the reasonable reliability of soil moisture remote sensing estimations. Moreover, in estimations from both sensors the spatial distribution of soil moisture was largely accounted for by meteorological variables, mainly precipitation in the dry period. The results indicate the high reliability of remote sensing for determining areas affected by water deficits and for quantifying drought intensity. Numéro de notice : A2004-423 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/01431160410001712990 En ligne : https://doi.org/10.1080/01431160410001712990 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=26950 [article]

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