Dinámica del NDVI en distintas fases del fenómeno ENSO en la Reserva de Biósfera Laguna Blanca (Catamarca, Argentina)

Maggi, Alejandro; Ponieman, Karen D.; Castro, Nicolás G.; Ferdinando, Miguel Di

doi:10.25260/ea.20.30.1.0.1021

Cited by 3 publications

(6 citation statements)

References 26 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…The response of vegetation to temperature, also observed by other authors (Maggi et al, 2020) is probably associated with a thermic limit to plant growth described by global analyses of montane systems (Körner, 1999;Pauli & Halloy, 2019). Likewise, the increasing trend in SAVI in the last years, also observed in other high mountains (Gaitań et al, 2015;Chavez et al, 2019;Campbell et al, 2021;Anderson et al, 2021), could be a response to the increase in temperatures (in tune with global warming, Xu et al, 2019;Xu et al, 2020) recorded in both lower elevation meteorological stations.…”

Section: Lakessupporting

confidence: 70%

“…Besides, during La Niña years, SAVI showed lower values and lakes presented larger areas probably because La Niña is associated with lower SST (26.5°C vs 27.7°C in El Niño) and PDO, and higher values of SOI, which is associated with precipitation (Ropelewski and Halpert, 1989;Karabörk and Kahya, 2007). The opposite pattern is observed for El Niño years, when SAVI also presented lower values (with two years of delay), as other authors observed for the Andes (Maggi et al, 2020). The effect of precipitation decreasing and temperature increasing trends, over freshwater availability and vegetation growth, was observed in previous studies in the area, where higher plant community turnover and increase in vegetation cover and species richness were observed over a decade, suggesting a response to short-term climate variability associated with ENSO (Carilla et al, 2018).…”

Section: Lakessupporting

confidence: 47%

“…El Niño Southern Oscillation (ENSO), the coupled atmosphericoceanic, has differential effects worldwide (Glantz et al, 1991). Some authors evidenced a strong association between ENSO and subtropical high Andean ecosystems (Halloy, 2002;Morales et al, 2015), reflected not only in water availability but also in vegetation growth (Carilla et al, 2018a;Maggi et al, 2020). Other authors reported the influence of other large-scale circulation forces, such as the Pacific decadal oscillation (PDO) and the Atlantic Multidecadal Oscillation (AMO), on Andean precipitations (Morales et al, 2015;Kayano et al, 2019).…”

Section: Introductionmentioning

confidence: 99%

“…Besides, the systematic data acquisition of remote sensors facilitates the implementation of long-term studies, encompassing multiple spatial scales, which are useful to discriminate between temporal trends and high frequency variability (Perez et al, 2010). The use of remote sensed products to estimate ecosystem productivity or hydrological balance has been the focus of some studies in the Andes (Carilla et al, 2013;Morales et al, 2015;Bianchi et al, 2017;Casagranda et al, 2019;Maggi et al, 2020). However, proxies can be quite dependent on the climatic, environmental and topographic characteristics of each particular system, so the calibration with known ground processes is recommended to ensure that their interpretation is accurate.…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Hydroclimate and vegetation variability of high Andean ecosystems

et al. 2023

View full text Add to dashboard Cite

Mountain ecosystems are sensitive to climate fluctuations; however, the scarcity of instrumental data makes necessary the use of complementary information to study the effect of climate change on these systems. Remote sensing permits studying the dynamics of vegetation productivity and wetlands in response to climate variability at different scales. In this study we identified the main climate variables that control vegetation dynamics and water balance in Cumbres Calchaquíes, NW Argentina. For this, we built annual time series from 1986 to 2019 of Soil Adjusted Vegetation Index (SAVI, to quantify spare vegetation productivity), lake area, and snow-ice cover of peatlands, as indicators of mountain productivity and hydrology. We used a decompose function to explore trend, seasonality and random signal of the three-time series, and explored for significant changes in the mean value of consecutive periods. We used correlational analysis to explore their associations with climate records at local, regional, and global scales. The results showed that, SAVI and hydrological indicators presented different fluctuation patterns more pronounced since 2012, when they showed divergent trends with increasing SAVI and decreasing lake area and snow-ice cover. The three indicators responded differently to climate; SAVI increased in warmer years and lake area reflected the water balance of previous years. Snow-ice cover of peatlands was highly correlated with lake area. La Niña had a positive effect on lake area and snow-ice cover and a negative on SAVI, while El Niño had a negative effect on SAVI. Fluctuations of lake areas were synchronized with lake area in the nearby Argentinian puna, suggesting that climate signals have regional extent. The information provided by the three hydroclimate indicators is complementary and reflects different climate components and processes; biological processes (SAVI), physical processes (snow ice cover) and their combination (lake area). This study provides a systematic accessible replicable tool for mountain eco-hydrology long-term monitoring.

show abstract

Section: Lakessupporting

confidence: 70%

Section: Lakessupporting

confidence: 47%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Hydroclimate and vegetation variability of high Andean ecosystems

et al. 2023

View full text Add to dashboard Cite

show abstract

“…La teledetección constituye una herramienta crítica para el monitoreo de la vegetación fluvial, debido a la extensión, complejidad y dificultad de acceso a estos ecosistemas (Morandeira, 2014). Por otra parte, teniendo en cuenta la disponibilidad de datos satelitales, aquellos correspondientes a la serie Landsat han sido utilizados frecuentemente, a través de distintos métodos de procesamiento entre los que se encuentra la clasificación (Aceñolaza et al, 2005;Borgnia et al, 2006;Cerdeira Estrada et al, 2008;Salvia et al, 2009). Las imágenes satelitales con mayor resolución espacial como las imágenes de la serie Landsat dan mejores resultados en las clasificaciones porque permite ver la segmentación en estos ambientes, distinguir el patrón de distribución de las unidades en el paisaje y analizarlas (Aceñolaza et al, 2005).…”

Section: Introductionunclassified

Cartografía de paisajes y zonificación de inundaciones en la planicie del río Santa Lucía, (Corrientes, Argentina)

Blanco,

Casco,

Salvia

2024

FACENA

View full text Add to dashboard Cite

La dinámica pulsátil condiciona las características, la permanencia y distribución del paisaje fluvial y la ocupación urbana. En este trabajo se cartografiaron las unidades de paisaje en la llanura de inundación de un tramo del río Santa Lucía, perteneciente a la cuenca del Río Paraná, generándose mapas con los atributos del pulso hidrosedimentológico para distintas unidades de paisaje. Se realizaron relevamientos planialtimétricos y se clasificaron las unidades de paisaje utilizando el sistema de Clasificación Ecológica de Tierras cartografiándolas mediante clasificación supervisada. Con el software Pulso se calcularon los atributos FITRAS para cada unidad de paisaje que fueron resumidos, explicados y agrupados de acuerdo con las similitudes y diferencias, utilizando métodos de análisis multivariado. Se realizaron mapas de atributos de pulso estableciendo 4 categorías de acuerdo con la correlación y similitud entre éstos. A través del mapeo se determinó que la vegetación mantiene un determinado patrón de organización en cada tramo del río, los árboles, arbustos y hierbas ocupan distintas posiciones en el gradiente topográfico, permaneciendo la mayor parte del año en aguas altas las lagunas, las playas, las barras de arena los bañados con pastos cortos, con hierbas altas y tiernas y en aguas bajas los bañados con arbustos, con pastos altos y duros y con palmas y los bosques dominados por una especie y los pluriespecíficos. Las similitudes y diferencias en la distribución de estas unidades de paisaje, permitió la elaboración del mapa de zonificación de las inundaciones. Con la correspondencia entre los paisajes de la planicie de inundación, el régimen de pulsos y el procesamiento de imágenes satelitales, se dispone de una herramienta útil para la gestión de inundaciones.

show abstract