Trends and ENSO/AAO Driven Variability in NDVI Derived Productivity and Phenology alongside the Andes Mountains

Increasing water use and droughts, along with climate variability and land use change, have seriously altered vegetation growth patterns and ecosystem response in several regions alongside the Andes Mountains. Thirty years of the new generation biweekly normalized difference vegetation index (NDVI3g) time series data show significant land cover specific trends and variability in annual productivity and land surface phenological response. Productivity is represented by the growing season mean NDVI values (July to June). Arid and semi-arid and sub humid vegetation types (Atacama desert, Chaco and Patagonia) across Argentina, northern Chile, northwest Uruguay and southeast Bolivia show negative trends in productivity, while some temperate forest and agricultural areas in Chile and sub humid and humid areas in Brazil, Bolivia and Peru show positive trends in productivity. The start (SOS) and length (LOS) of the growing season results show large variability and regional hot spots where later SOS often coincides with reduced productivity. A longer growing season is generally found for some locations in the south of Chile (sub-antarctic forest) and Argentina (Patagonia steppe), while central Argentina (Pampa-mixed grasslands and agriculture) has a shorter LOS. Some of the areas have significant shifts in SOS and LOS of one to several months. The seasonal Multivariate ENSO Indicator (MEI) and the Antarctic Oscillation (AAO) index have a significant impact on vegetation productivity and phenology in southeastern and northeastern Argentina (Patagonia and Pampa), central and southern Chile (mixed shrubland, temperate and sub-antarctic forest), and Paraguay (Chaco).

[1]  C. Messina,et al.  Associations between Grain Crop Yields in Central-Eastern Argentina and El Nino-Southern Oscillation , 1999 .

[2]  C. Tucker,et al.  Interannual variations in satellite-sensed vegetation index data from 1981 to 1991 , 1998 .

[3]  Adrian J. Hartley,et al.  The central Andean west‐slope rainshadow and its potential contribution to the origin of hyper‐aridity in the Atacama Desert , 2003 .

[4]  O. Sala,et al.  Current Distribution of Ecosystem Functional Types in Temperate South America , 2001, Ecosystems.

[5]  Stuart E. Marsh,et al.  Multi-sensor NDVI data continuity: Uncertainties and implications for vegetation monitoring applications , 2006 .

[6]  C. Tucker,et al.  Climate-Driven Increases in Global Terrestrial Net Primary Production from 1982 to 1999 , 2003, Science.

[7]  Mark D. Schwartz,et al.  Assessing satellite‐derived start‐of‐season measures in the conterminous USA , 2002 .

[8]  H. Grau,et al.  Guest Editorial, part of a Special Feature on The influence of human demography and agriculture on natural systems in the Neotropics Globalization and Land-Use Transitions in Latin America , 2008 .

[9]  E. Vermote,et al.  Absolute calibration of AVHRR visible and near-infrared channels using ocean and cloud views , 1995 .

[10]  A. Strahler,et al.  Monitoring vegetation phenology using MODIS , 2003 .

[11]  Molly E. Brown,et al.  Evaluation of the consistency of long-term NDVI time series derived from AVHRR,SPOT-vegetation, SeaWiFS, MODIS, and Landsat ETM+ sensors , 2006, IEEE Transactions on Geoscience and Remote Sensing.

[12]  R. Scholes,et al.  Ecosystems and human well-being: current state and trends , 2005 .

[13]  Aaron Moody,et al.  Geographical distribution of global greening trends and their climatic correlates: 1982–1998 , 2005 .

[14]  Yosio Edemir Shimabukuro,et al.  Comparative study of the 1982–1983 and 1997–1998 El Niño events over different types of vegetation in South America , 2004 .

[15]  Bradley C. Reed,et al.  Trend Analysis of Time-Series Phenology of North America Derived from Satellite Data , 2006 .

[16]  M. Schaepman,et al.  Intercomparison, interpretation, and assessment of spring phenology in North America estimated from remote sensing for 1982–2006 , 2009 .

[17]  K. Mo,et al.  Relationships between Low-Frequency Variability in the Southern Hemisphere and Sea Surface Temperature Anomalies , 2000 .

[18]  J. Cihlar,et al.  Effects of spectral response function on surface reflectance and NDVI measured with moderate resolution satellite sensors , 2002 .

[19]  K. Shadan,et al.  Available online: , 2012 .

[20]  J. Paruelo,et al.  Long-term Satellite NDVI Data Sets: Evaluating Their Ability to Detect Ecosystem Functional Changes in South America , 2008, Sensors.

[21]  S. Running,et al.  The impact of growing-season length variability on carbon assimilation and evapotranspiration over 88 years in the eastern US deciduous forest , 1999, International journal of biometeorology.

[22]  T. McMahon,et al.  Updated world map of the Köppen-Geiger climate classification , 2007 .

[23]  S. Goward,et al.  Global Primary Production: A Remote Sensing Approach , 1995 .

[24]  E. Vermote,et al.  Calibration of NOAA16 AVHRR over a desert site using MODIS data , 2006 .

[25]  H. Grau,et al.  Deforestation and fragmentation of Chaco dry forest in NW Argentina (1972–2007) , 2009 .

[26]  G. Berndes,et al.  The revision of the Brazilian Forest Act: increased deforestation or a historic step towards balancing agricultural development and nature conservation? , 2012 .

[27]  Rasmus Fensholt,et al.  Greenness in semi-arid areas across the globe 1981–2007 — an Earth Observing Satellite based analysis of trends and drivers , 2012 .

[28]  H. Mooney,et al.  Shifting plant phenology in response to global change. , 2007, Trends in ecology & evolution.

[29]  Alfredo Huete,et al.  A 20-year study of NDVI variability over the Northeast Region of Brazil , 2006 .

[30]  M. D. Schwartz Phenology: An Integrative Environmental Science , 2003, Tasks for Vegetation Science.

[31]  F. Meza Variability of reference evapotranspiration and water demands. Association to ENSO in the Maipo river basin, Chile , 2005 .

[32]  S. Bruin,et al.  Analysis of monotonic greening and browning trends from global NDVI time-series , 2011 .

[33]  C. Tucker,et al.  Increased plant growth in the northern high latitudes from 1981 to 1991 , 1997, Nature.

[34]  José M. Paruelo,et al.  Two decades of Normalized Difference Vegetation Index changes in South America: identifying the imprint of global change , 2004 .

[35]  José M. Paruelo,et al.  Agricultural impacts on ecosystem functioning in temperate areas of North and South America , 2005 .

[36]  Willem J. D. van Leeuwen,et al.  Monitoring the Effects of Forest Restoration Treatments on Post-Fire Vegetation Recovery with MODIS Multitemporal Data , 2008, Sensors.

[37]  Alfredo Huete,et al.  Assessing the seasonal dynamics of the Brazilian Cerrado vegetation through the use of spectral vegetation indices , 2004 .

[38]  S. Ganguly,et al.  Why Is Remote Sensing of Amazon Forest Greenness So Challenging , 2012 .

[39]  Rasmus Fensholt,et al.  Analysis of trends in the Sahelian `rain-use efficiency' using GIMMS NDVI, RFE and GPCP rainfall data , 2011 .

[40]  L. Hinojosa,et al.  Historia de los bosques del sur de Sudamérica, II: análisis fitogeográfico , 1997 .

[41]  S. Fritz,et al.  A land cover map of South America , 2004 .

[42]  Mark D. Schwartz,et al.  Phenology: An Integrative Environmental Science , 2013, Springer Netherlands.

[43]  Gérard Dedieu,et al.  Methodology for the estimation of terrestrial net primary production from remotely sensed data , 1994 .

[44]  C. Tucker,et al.  Analysis of Sahelian vegetation dynamics using NOAA-AVHRR NDVI data from 1981–2003 , 2005 .

[45]  C. Tucker,et al.  Higher northern latitude normalized difference vegetation index and growing season trends from 1982 to 1999 , 2001, International journal of biometeorology.

[46]  R. Fensholt,et al.  Evaluation of Earth Observation based global long term vegetation trends — Comparing GIMMS and MODIS global NDVI time series , 2012 .

[47]  Fabian M. Jaksic,et al.  Primary production dynamics and climate variability: ecological consequences in semiarid Chile , 2009 .

[48]  H. Grau,et al.  Agriculture adjustment, land-use transition and protected areas in Northwestern Argentina. , 2009, Journal of environmental management.

[49]  C. Echeverría,et al.  Land-cover change to forest plantations: Proximate causes and implications for the landscape in south-central Chile , 2012 .

[50]  Ramakrishna R. Nemani,et al.  A generalized, bioclimatic index to predict foliar phenology in response to climate , 2004 .

[51]  M. Clark,et al.  The Relative Importance of Socioeconomic and Environmental Variables in Explaining Land Change in Bolivia, 2001–2010 , 2012 .

[52]  C. Tucker,et al.  Recent trends in vegetation dynamics in the African Sahel and their relationship to climate , 2005 .

[53]  Jahan Kariyeva,et al.  Environmental Drivers of NDVI-Based Vegetation Phenology in Central Asia , 2011, Remote. Sens..

[54]  Per Jönsson,et al.  TIMESAT - a program for analyzing time-series of satellite sensor data , 2004, Comput. Geosci..

[55]  G. Henebry,et al.  Spatio‐temporal change analysis to identify anomalous variation in the vegetated land surface: ENSO effects in tropical South America , 2005 .

[56]  Jesslyn F. Brown,et al.  Measuring phenological variability from satellite imagery , 1994 .

[57]  Irma Lorena Acosta Reveles Balance del modelo agroexportador en América Latina al comenzar el siglo XXI , 2006 .

[58]  Edwin W. Pak,et al.  An extended AVHRR 8‐km NDVI dataset compatible with MODIS and SPOT vegetation NDVI data , 2005 .

[59]  J. Marengo,et al.  Present-day South American climate , 2009 .

[60]  G. Henebry,et al.  Land surface phenology, climatic variation, and institutional change: Analyzing agricultural land cover change in Kazakhstan , 2004 .

[61]  J. Palutikof,et al.  Climate change 2007 : impacts, adaptation and vulnerability , 2001 .

[62]  Stuart E. Marsh,et al.  Phenological Characterization of Desert Sky Island Vegetation Communities with Remotely Sensed and Climate Time Series Data , 2010, Remote. Sens..

[63]  T. Mitchell Aide,et al.  A scalable approach to mapping annual land cover at 250 m using MODIS time series data: A case study in the Dry Chaco ecoregion of South America , 2010 .

[64]  S. J. Goetz,et al.  Monitoring primary production from Earth observing satellites , 1995 .

[65]  George Wittemyer,et al.  Breeding phenology in relation to NDVI variability in free‐ranging African elephant , 2007 .

[66]  J. Ardö,et al.  A recent greening of the Sahel—trends, patterns and potential causes , 2005 .

[67]  K. Wolter,et al.  El Niño/Southern Oscillation behaviour since 1871 as diagnosed in an extended multivariate ENSO index (MEI.ext) , 2011 .

[68]  Alexander P. Trishchenko,et al.  Effects of spectral response function on surface reflectance and NDVI measured with moderate resolution satellite sensors: Extension to AVHRR NOAA-17, 18 and METOP-A , 2009 .

[69]  C. Justice,et al.  Analysis of the phenology of global vegetation using meteorological satellite data , 1985 .

[70]  Ramakrishna R. Nemani,et al.  Real-time monitoring and short-term forecasting of land surface phenology , 2006 .