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Item type:Publication, Climate monitoring bulletin for the major river basins, Volume 4, Number 04(2026-01-28) Senna, Renato Cruz; Rocha, Tainá Sampaio Xavier Conchy; Arcos, Adriano NobreAnalysis of the behavior of rainfall (accumulated in 30 days) over the main river basins in the Amazon with the categorization of positive and negative rainfall anomalies for the period, calculation of the average value of accumulated rainfall by river basin and analysis of behavior in relation to the available climatology, it also presents a descriptive graph of weekly behavior (accumulated over 7 days).Item type:Publication, Boletín de monitoreo climático de las principales cuencas hidrográficas, Volume 4, Numero 04(2026-01-28) Senna, Renato Cruz; Rocha, Tainá Sampaio Xavier Conchy; Arcos, Adriano NobreAnálisis del comportamiento de la precipitación (acumulada en 30 días) sobre las principales cuencas hidrográficas de la Amazonia con la categorización de anomalías pluviométricas positivas y negativas para el período, cálculo del valor medio de la precipitación acumulada por cuenca hidrográfica y análisis del comportamiento en relación a la climatología disponible, presenta también un gráfico descriptivo del comportamiento semanal (acumulado en 7 días).Item type:Publication, Boletim de Monitoramento Climático de Grandes Bacias, Volume 6, Número 04(2026-01-28) Senna, Renato Cruz; Rocha, Tainá Sampaio Xavier Conchy; Arcos, Adriano NobreItem type:Publication, A importância das condições hidrológicas locais para a produtividade arbórea das florestas de terra-firme na Amazônia Central(2025) Esteban, Erick Jonathan Lavado; Costa, Flavia Regina Capelotto; Albert, Loren P.; Garcia, Maquelle Neves; Sean McMahonThe fate of tropical forests in the face of climate change remains fraught with uncertainty. While some modeling studies predict that these forests will succumb to the changing climate, others suggest ecosystem resilience. Such debates are particularly evident in studies reporting the impacts of severe drought events on the planet's largest forest ecosystem, the Amazon. While long-term monitoring data—from permanent plots—show a decline in forest productivity (a negative effect), remote sensing data report a ""greening"" effect, related to a greater photosynthetic capacity (a positive effect) in various parts of the Amazon. These seemingly contradictory observations may simply reflect the low representativeness of permanent plot data compared to satellite data regarding a specific type of Amazonian environment: terra-firme forests with shallow water tables. Although these environments represent a significant portion of the basin (approx. 40% with a water table depth < 5m), our knowledge of how their vegetation responds to climate—and thus the importance of local hydrological conditions for forest productivity—remains quite limited. In light of this, the following question arises: is a single effect (positive or negative) of climate variation on Amazonian forest productivity possible? Or does the total ecosystem response depend not only on climatic variation but also on local hydrological conditions? The objective of this thesis was to analyze variations in tree productivity in mature terra-firme forest areas with contrasting hydrological conditions: areas with a deep water table (>20m) vs. areas with a shallow water table (<5m). To gain a comprehensive understanding of the influence of water table depth, this study analyzed how local-scale differences in plant water access (via the water table) modulate tree productivity at the leaf level (photosynthetic capacity and carbon assimilation rate), the stem level (diameter growth rate), and in the biomass and vertical structure of fine roots.Item type:Person,