Spatiotemporal patterns of vegetation productivity in Caatinga drylands
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Environmental heterogeneity promotes the resource differential distribution in space and time. Given that, different foraging opportunities in the landscape influence strategies of survivor for mobile organisms during environment constraints. Here, we propose a new method to describe vegetation dynamics and evaluate landscape quality in Caatinga, using time series of nineteen years of the vegetation index NDVI, proxy of primary productivity. For that, we i) described phenological patterns of the landscape, ii) mapped Caatinga according to productivity and its temporal stability (using coefficient of variation), iii) tested the influence of stability, seasonality and productivity on NDVI fluctuations, iv) created a new landscape metric to indicate resource predictability , v) identified critical periods in Caatinga e areas of most severity. We found three seasonal periods for vegetation: dry, wet and transition to dry. However, phenological patterns are spatially asynchronous: growth season peaks differ between climatic regions. This is due to irregular rainfall regimes along Caatinga extension. In addition, almost 70% of the territory varies between 30-35% of its productivity, with the most portion showing a low annual predictability in resources. The lowest values of NDVI in dry periods are found in variable areas, while the lowest values in wet seasons occur in areas with higher stability. August and September are the most critical months in Caatinga, because only 5% of vegetation has a positive response and this is worrying for areas that experience low productivity and may keep in this state up to 11 months. These findings are important to indicate areas and periods in which the landscape is more favourable to organisms movement that search for better environment conditions.