Vulnerabilidad de la vegetación a la sequía en España

Garcı́a-Haro, Francisco Javier; Campos-Taberner, Manuel; Sabater, Neus; Belda, Fernando; Moreno, Ana; Martínez, Beatriz; Pérez-Hoyos, Ana; Meliá, J.

doi:10.4995/raet.2014.2283

Cited by 6 publications

(4 citation statements)

References 10 publications

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“…En este análisis se considera que la precipitación media anual desempeña un papel importante en la respuesta inter-anual de la vegetación a episodios donde el régimen de la precipitación se ha alterado (Chamaillé-Jammes y Fritz., 2009). Las correlaciones se han calculado desplazando la serie de SPI dos meses respecto del periodo de máximo desarrollo de la vegetación debido al patrón temporal general que muestra la respuesta de la vegetación con la precipitación (Malo y Nicholson, 1990;García-Haro et al, 2014;Chen et al, 2020…”

Section: Procedimiento Experimentalunclassified

Potencial del producto SEVIRI/MSG GPP en la detección de zonas afectadas por estrés hídrico

et al. 2020

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This study aims to introduce a completely new and recently launched 10-day GPP product based on data from the geostationary MSG satellite (MGPP LSA-411) and to assess its capability to detect areas affected by water stress (hot spots). The GPP product is based on Monteith’s concept, which models GPP as the product of the incoming photosynthetically active radiation (PAR), the fractional absorption of that flux (fAPAR) and a lightuse efficiency factor (ε). Preliminary results on the use of the MGPP product in the assessment of ecosystem response to rainfall deficit events are presented in this work for a short period of three years. The robustness of this product is evaluated at both site and regional scales across the MSG disk using eddy covariance (EC) GPP measurements and Earth Observing (EO)-based GPP products, respectively. The EO-based products belong to the 8-day MOD17A2H v6 at 500 m and the 10-day GDMP at 1 km. The results reveal the MGPP product, derived entirely from MSG (EUMETSAT) products, as an efficient alternative to detect and characterize areas under water scarcity by means of a coefficient of water stress.

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Section: Procedimiento Experimentalunclassified

Potencial del producto SEVIRI/MSG GPP en la detección de zonas afectadas por estrés hídrico

et al. 2020

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“…Due to its complicated physiological strategies to cope with water stress, vegetation can show specific and even individual resistance and vulnerability to drought (Chaves et al, 2003;Gazol et al, 2017Gazol et al, , 2018. As such, it is quite difficult to directly assess the impacts of drought on vegetation activity and forest growth.…”

Section: Drought Datasetmentioning

confidence: 99%

A high-resolution spatial assessment of the impacts of drought variability on vegetation activity in Spain from 1981 to 2015

Vicente‐Serrano

Azorín-Molina

Peña-Gallardo

et al. 2019

Nat. Hazards Earth Syst. Sci.

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Abstract. Drought is a major driver of vegetation activity in Spain, with significant impacts on crop yield, forest growth, and the occurrence of forest fires. Nonetheless, the sensitivity of vegetation to drought conditions differs largely amongst vegetation types and climates. We used a high-resolution (1.1 km) spatial dataset of the normalized difference vegetation index (NDVI) for the whole of Spain spanning the period from 1981 to 2015, combined with a dataset of the standardized precipitation evapotranspiration index (SPEI) to assess the sensitivity of vegetation types to drought across Spain. Specifically, this study explores the drought timescales at which vegetation activity shows its highest response to drought severity at different moments of the year. Results demonstrate that – over large areas of Spain – vegetation activity is controlled largely by the interannual variability of drought. More than 90 % of the land areas exhibited statistically significant positive correlations between the NDVI and the SPEI during dry summers (JJA). Nevertheless, there are some considerable spatio-temporal variations, which can be linked to differences in land cover and aridity conditions. In comparison to other climatic regions across Spain, results indicate that vegetation types located in arid regions showed the strongest response to drought. Importantly, this study stresses that the timescale at which drought is assessed is a dominant factor in understanding the different responses of vegetation activity to drought.

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“…En las últimas décadas se han desarrollado diferentes metodologías para monitorear sequías utilizando productos satelitales (Girolimetto y Venturini, 2013;García-Haro et al, 2014;Mishra et al, 2017). Muchos estudios se han basado en los llamados "índices de condición" derivados de información satelital (Kogan, 1995;Zhang et al, 2017) o en variaciones de ellos (Zhou et al, 2012;Du et al, 2013).…”

Section: Introductionunclassified

Monitoreo de sequías en El Salvador mediante variables teledetectadas usando la plataforma Google Earth Engine

Córdova¹,

Venturini

Walker

2020

Rev. Teledetec.

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Drought is a phenomenon that causes great economic losses in the society and is being observed more frequently due to climate change. In Central America this event is related to the anomalous distribution of precipitation (P) in a short period, within the rainy season. Specifically, in El Salvador, the phenomenon socalled “canícula” is associated to a significant decrease in P that lasts few days, making difficult to monitor it with P alone, as it is currently done. At present, many indicators have been developed to characterize droughts. In particular, the standardized precipitation and the condition indices proposed by Kogan (1995) that use various sources of information, stand out. In this work, five indicators of water deficit were applied - the standardized P, evapotranspiration (ET), the soil moisture condition index (HSCI), the vegetation condition index (VCI) and water stress (EH)- to assess droughts in El Salvador. For this, satellite information, climate database and the application programming interface available on the Google Earth Engine platform were used. The behaviour of the indexes in the period 2015-2019 was analysed, particularly the extremely dry year 2015, to determine the monitoring capacity of the indicators used. The results obtained suggest that the proposed set of indicators allows monitoring the drought, by identifying the onset, impact and territorial extension of it in El Salvador.

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Vulnerabilidad de la vegetación a la sequía en España

Cited by 6 publications

References 10 publications

Potencial del producto SEVIRI/MSG GPP en la detección de zonas afectadas por estrés hídrico

Potencial del producto SEVIRI/MSG GPP en la detección de zonas afectadas por estrés hídrico

A high-resolution spatial assessment of the impacts of drought variability on vegetation activity in Spain from 1981 to 2015

Monitoreo de sequías en El Salvador mediante variables teledetectadas usando la plataforma Google Earth Engine

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