IAI-Science-ISP3-077-008:Patterns and controls of primary production in the Patagonian steppe: a remote sensing approach

"We took advantage of regional gradients to study the spatial
relationships between aboveground net primary production (ANPP) and climate in
the Patagonian steppe of South America. We explored the same relationships
through time, considering the natural variations of ANPP and climate for 11 yr.
Based on NOAA/AVHRR satellite normalized difference vegetation index (NDVI)
data, we evaluated the effects of climate on annual and seasonal ANPP across
regional gradients of precipitation (100-500 mm/yr) and temperature (1°-9°C of
annual mean). We studied ANPP climatic controls through time at four sites
using NDVI and meteorological data. We used annual NDVI integral as a surrogate
of annual ANPP. Annual NDVI integral increased linearly along regional
gradients of precipitation, and its annual variability decreased exponentially.
Annual NDVI integral was, in most cases, unrelated to precipitation through
time. We described the seasonality of ANPP using four variables derived from
seasonal NDVI curves: the dates of growing season start and end, the date of
maximum NDVI, and the length of the growing season. The growing season started
later toward the cold extreme of the regional temperature gradients and, within
a given site through time, during the coldest years. The dates of maximum NDVI
and end of the growing season occurred later toward the humid or cold extremes
of the regional gradients, whereas the length of the growing season was
positively affected by precipitation and temperature along these gradients.
These variables were not associated with climate through time. The response of
the start of the growing season to temperature was greater in time, following
the natural climatic fluctuations, than in space, accompanying regional
temperature gradients. This difference probably resulted because the time
required for shifts in community composition and plant adaptation is longer
than one year. Climatic determinants of ANPP shifted from precipitation alone
to precipitation plus temperature when the temporal scale of analysis changed
from annual to seasonal. Our results indicate the feasibility of forecasting
forage availability a few months prior to the beginning of the growing season,
but not during the whole year. Longer term data sets and manipulative
experiments are required to forecast annual ANPP and predict its response to
climate change". To read the full article, access
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