Spatial Patterns of Vegetation Activity Related to ENSO in Northern South America

GND
1274259959
ORCID
0000-0002-2359-9496
Zugehörigkeit
Max Planck Institute for Biogeochemistry Jena
Estupinan‐Suarez, Lina M.;
ORCID
0000-0003-3031-613X
Zugehörigkeit
Remote Sensing Centre for Earth System Research Leipzig University Leipzig Germany
Mahecha, Miguel D.;
GND
130437638
ORCID
0000-0001-6640-679X
Zugehörigkeit
Department of Geography Friedrich Schiller University Jena
Brenning, Alexander;
ORCID
0000-0003-4865-5041
Zugehörigkeit
Remote Sensing Centre for Earth System Research Leipzig University Leipzig Germany
Kraemer, Guido;
ORCID
0000-0002-7907-6360
Zugehörigkeit
Department of Geosciences and Environment Universidad Nacional de Colombia Sede Medellín Medellín Colombia
Poveda, Germán;
GND
1247760588
ORCID
0000-0001-5736-1112
Zugehörigkeit
Max Planck Institute for Biogeochemistry Jena
Reichstein, Markus;
GND
1202973329
ORCID
0000-0003-0009-4169
Zugehörigkeit
Max Planck Institute for Biogeochemistry Jena
Sierra, Carlos A.

Interannual variability of vegetation activity (i.e., photosynthesis) is strongly correlated with El Niño Southern Oscillation (ENSO). Globally, a reduction in carbon uptake by terrestrial ecosystems has been observed during the ENSO warm phase (El Niño) and the opposite during the cold phase (La Niña). However, this global perspective obscures the heterogeneous impacts of ENSO at regional scales. Particularly, ENSO has contrasting impacts on climate in northern South America (NSA) depending on the ENSO phase and geographical location, which in turn affect the activity of vegetation. Furthermore, changes of vegetation activity during multiple ENSO events are not well understood yet. In this study, we investigated the spatial and temporal differences in vegetation activity associated with ENSO variability and its three phases (El Niño, La Niña, Neutral) to identify hotspots of ENSO impacts in NSA, a region dominated by rainforest and savannas. To achieve this, we investigated time series of vegetation variables from 2001 to 2014 at moderate spatial resolution (0.0083°). Data were aggregated through dimensionality reduction analysis (i.e., Global Principal Component Analysis). The leading principal component served as a proxy of vegetation activity (VAC). We calculated the cross‐correlation between VAC and the multivariate ENSO index separately for each ENSO phase. Our results show that El Niño phase has a stronger impact on vegetation activity both in intensity and duration than La Niña phase. Moreover, seasonally dry ecoregions were more susceptible to El Niño impacts on vegetation activity. Understanding these differences is key for regional adaptation and differentiated management of ecosystems.

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