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Authors: 超级管理员 | Edit: gaoww
The reporting period covers the harvesting of wheat, the main growing season of maize and rice, as well as the sowing for early and late soybean (Figure 3.7.a). For the whole country rainfall showed a positive anomaly of 15%. Temperature was 0.5°C below average and RADPAR fell 2%. BIOMSS showed a decrease of 1% compared to average. Overall, crop conditions were favorable during the monitoring period.
From the graph of Argentina NDVI development (Figure 3.7.b), the values of the earlier period (October-November 2019) were close to the average of previous years, while they were significantly lower than the 15-year average in the later period (December 2019 - February 2020).
CropWatch subdivides Argentina into eight agro-ecological zones (AEZ) based on cropping systems, climatic zones, and topography; they are identified by numbers on the NDVI departure cluster map. During this monitoring period, most crops were grown in the following four agro-ecological zones: Chaco, Mesopotamia, Humid Pampas, and Subtropical highlands. The other four agro-ecological zones were less relevant for this period.
During the monitoring period, the rainfall of Argentina's four main agro-ecological zones was above average: Chaco (+ 17%), Mesopotamia (+ 2%), Humid Pampas (+ 12%), and Subtropical highlands (+ 36%) . However, both TEMP and PADPAR were lower than the 15-year average. Only Humid Pampas had increased BIOMSS by 1%, while Chaco (-2%), Mesopotamia (-4%), and Subtropical highlands (-10%) all decreased. Compare with the average of previous years, the CALF of Chaco (+ 6%) and Humid Pampas (+ 2%) increased. Only Subtropical highlands (-1%) decreased relative to the average. The VCIx in general showed good crop condition, with VCIx values of the four agro-ecological zones greater than 0.8.
BIOMSS increased in the Humid Pampas due to the previous abundant rainfall, and CALF increased by 2%, potentially favorabl for wheat production. The decrease in temperature and sunshine in Chaco, Mesopotamia, and Subtropical highlands was not compensated for by the increase of rainfall, resulting in a decrease in BIOMSS. For Chaco, CALF had increased by 6%. Therefore, we conclude that the wheat production for the Chaco region was fair, while crop production in Mesopotamia and Subtropical highlands might decrease.
In general, although wheat production in the Mesopotamia and Subtropical highlands had decreased in the earlier period, crop production had increased in Humid Pampas which accounts for most of the crop area. Therefore, the wheat production in Argentina was better than the corresponding period of previous years. However, growth of summer crops during December and January was sub-par.
Figure 3.7. Argentina´s crop condition, October 2019 - Jaunary 2020
a. Phenology of major crops
b. Crop condition development graph based onNDVI_Argentina
c. Maximum VCI
d. Spatial patterns of NDVI departure compared to 5YA.
e. Time series rainfall pofile
f. Crop condition development graph based on NDVI (Andes)
g. Cropcondition development graph based on NDVI (Chaco)
h. Cropcondition development graph based on NDVI (Mesopotamia)
i. Crop condition development graph based on NDVI (Humid Pampas)
j. Crop condition development graph based on NDVI (Pampas hills)
k. Crop condition development graph based on NDVI (Arid part of Patagonia)
l. Crop condition development graph based on NDVI (Dry Pampas)
m. Crop condition development graph based on NDVI (Subtropical highlands)
Table3.7. Argentina’s agroclimatic indicators by sub-national regions, currentseason's values and departure from 15YA, October 2019 - Jaunary 2020.
Region | RAIN | TEMP | RADPAR | |||
Current (mm) | Departure from 15YA (%) | Current (°C) | Departure from 15YA (°C) | Current (MJ/m2) | Departure from 15YA (%) | |
Andes | 442 | 74 | 16.5 | 0.2 | 1629 | -4 |
Chaco | 607 | 17 | 24.3 | -0.8 | 1334 | -2 |
Mesopotamia | 585 | 2 | 22.7 | -0.4 | 1384 | -3 |
Humid Pampas | 315 | 12 | 20.9 | -0.5 | 1472 | -3 |
Pampas hills | 306 | 29 | 21.9 | -0.1 | 1532 | -1 |
Arid part of Patagonia | 200 | -13 | 10.7 | -0.2 | 1439 | 3 |
Dry Pampas | 151 | -18 | 20.5 | -0.5 | 1584 | 1 |
Subtropical highlands | 936 | 36 | 21.9 | -0.4 | 1314 | -4 |
Table3.8. Argentina’s agronomic indicators by sub-national regions, current season'svalues and departure from 15YA/5YA, October 2019 - Jaunary 2020.
Region | BIOMSS | Cropped arable land fraction | Maximum VCI | ||
Current (gDM/m2) | Departure from 15YA (%) | Current (%) | Departure from 5YA (%) | ||
Andes | 706 | 0 | 63 | -4 | 0.84 |
Chaco | 852 | -2 | 99 | 6 | 0.95 |
Mesopotamia | 830 | -4 | 100 | 0 | 0.93 |
Humid Pampas | 834 | 1 | 98 | 2 | 0.85 |
Pampas hills | 898 | 4 | 90 | 15 | 0.81 |
Arid part of Patagonia | 461 | 0 | 84 | 4 | 0.92 |
Dry Pampas | 877 | 8 | 51 | -46 | 0.57 |
Subtropical highlands | 777 | -10 | 90 | -1 | 0.80 |