Amazon forest biogeography predicts resilience and vulnerability to drought.

Amazonia contains the most extensive tropical forests on Earth, but Amazon carbon sinks of atmospheric CO2 are declining, as deforestation and climate-change-associated droughts1-4 threaten to push these forests past a tipping point towards collapse5-8. Forests exhibit complex drought responses, indicating both resilience (photosynthetic greening) and vulnerability (browning and tree mortality), that are difficult to explain by climate variation alone9-17. Here we combine remotely sensed photosynthetic indices with ground-measured tree demography to identify mechanisms underlying drought resilience/vulnerability in different intact forest ecotopes18,19 (defined by water-table depth, soil fertility and texture, and vegetation characteristics). In higher-fertility southern Amazonia, drought response was structured by water-table depth, with resilient greening in shallow-water-table forests (where greater water availability heightened response to excess sunlight), contrasting with vulnerability (browning and excess tree mortality) over deeper water tables. Notably, the resilience of shallow-water-table forest weakened as drought lengthened. By contrast, lower-fertility northern Amazonia, with slower-growing but hardier trees (or, alternatively, tall forests, with deep-rooted water access), supported more-drought-resilient forests independent of water-table depth. This functional biogeography of drought response provides a framework for conservation decisions and improved predictions of heterogeneous forest responses to future climate changes, warning that Amazonia's most productive forests are also at greatest risk, and that longer/more frequent droughts are undermining multiple ecohydrological strategies and capacities for Amazon forest resilience.

The role of ecosystem transpiration in creating alternate moisture regimes by influencing atmospheric moisture convergence.

The terrestrial water cycle links the soil and atmosphere moisture reservoirs through four fluxes: precipitation, evaporation, runoff, and atmospheric moisture convergence (net import of water vapor to balance runoff). Each of these processes is essential for sustaining human and ecosystem well-being. Predicting how the water cycle responds to changes in vegetation cover remains a challenge. Recently, changes in plant transpiration across the Amazon basin were shown to be associated disproportionately with changes in rainfall, suggesting that even small declines in transpiration (e.g., from deforestation) would lead to much larger declines in rainfall. Here, constraining these findings by the law of mass conservation, we show that in a sufficiently wet atmosphere, forest transpiration can control atmospheric moisture convergence such that increased transpiration enhances atmospheric moisture import and results in water yield. Conversely, in a sufficiently dry atmosphere increased transpiration reduces atmospheric moisture convergence and water yield. This previously unrecognized dichotomy can explain the otherwise mixed observations of how water yield responds to re-greening, as we illustrate with examples from China's Loess Plateau. Our analysis indicates that any additional precipitation recycling due to additional vegetation increases precipitation but decreases local water yield and steady-state runoff. Therefore, in the drier regions/periods and early stages of ecological restoration, the role of vegetation can be confined to precipitation recycling, while once a wetter stage is achieved, additional vegetation enhances atmospheric moisture convergence and water yield. Recent analyses indicate that the latter regime dominates the global response of the terrestrial water cycle to re-greening. Evaluating the transition between regimes, and recognizing the potential of vegetation for enhancing moisture convergence, are crucial for characterizing the consequences of deforestation as well as for motivating and guiding ecological restoration.

Vegetation impact on atmospheric moisture transport under increasing land-ocean temperature contrasts.

Destabilization of the water cycle threatens human lives and livelihoods. Meanwhile our understanding of whether and how changes in vegetation cover could trigger transitions in moisture availability remains incomplete. This challenge calls for better evidence as well as for the theoretical concepts to describe it. Here we briefly summarize the theoretical questions surrounding the role of vegetation cover in the dynamics of a moist atmosphere. We discuss the previously unrecognized sensitivity of local wind power to condensation rate as revealed by our analysis of the continuity equation for a gas mixture. Using the framework of condensation-induced atmospheric dynamics, we then show that with the temperature contrast between land and ocean increasing up to a critical threshold, ocean-to-land moisture transport reaches a tipping point where it can stop or even reverse. Land-ocean temperature contrasts are affected by both global and regional processes, in particular, by the surface fluxes of sensible and latent heat that are strongly influenced by vegetation. Our results clarify how a disturbance of natural vegetation cover, e.g., by deforestation, can disrupt large-scale atmospheric circulation and moisture transport: an increase of sensible heat flux upon deforestation raises land surface temperature and this can elevate the temperature difference between land and ocean beyond the threshold. In view of the increasing pressure on natural ecosystems, successful strategies of mitigating climate change require taking into account the impact of vegetation on moist atmospheric dynamics. Our analysis provides a theoretical framework to assess this impact. The available data for the Northern Hemisphere indicate that the observed climatological land-ocean temperature contrasts are close to the threshold. This can explain the increasing fluctuations in the continental water cycle including droughts and floods and signifies a yet greater potential importance for large-scale forest conservation.

Composição e diversidade florístico-estrutural de um hectare de floresta densa de terra firme na Amazônia Central, Amazonas, Brasil / Composition and floristic-structural diversity of a hectare of terra firme dense forest in Central Amazonia, Amazonas, Brazil

Foram inventariadas todas as árvores, lianas e palmeiras com DAP > 10 cm de um hectare (dois transectos paralelos de 500 x 10 m) de floresta densa de terra firme sobre platô de Latossolo, 90 km a nordeste de Manaus (02º35'45" S e 60º12'40" W). A fitofisionomia local é exuberante e homogênea, com grande número de árvores altas e finas. Foram encontrados 670 indivíduos distribuídos em 48 famílias, 133 gêneros e 245 espécies. Do total amostrado, 70 por cento ou 467 indivíduos apresentaram DAP < 22,1 cm. Abarema mataybifolia (Sandw.) Barneby & Grimes, Leonia glycycarpa Ruiz & Pav., Swartzia reticulata Ducke e Aspidosperma oblongum A. DC., foram as únicas espécies a apresentarem valores superiores a 90 cm de DAP. Fabaceae, Sapotaceae e Lecythidaceae constituíram as três famílias com maior riqueza de espécies e maiores índices de valor de importância aos níveis de família e espécie. Os índices de diversidade (H" = 5,1) e de equitabilidade (E" = 0,92), ambos de Shannon-Wiener, indicam que a floresta é bem diversificada, com uma abundância relativamente uniforme das espécies. Nesse ambiente florestal, as espécies não tem distribuição espacial uniforme, porém, quanto menor a distância geográfica entre as subparcelas, maior sua similaridade florística (teste de Mantel, p<0,001).

To investigate the composition and floristic diversity of one hectare of a dense forest on a terra firme oxisol plateau, 90 km from the Manaus (02º35"45" S e 60º12"40" W), all trees, lianas and palm trees with diameter at breast height (DBH) > 10 cm were inventoried along two parallel transects of 500 x 10 m. The landscape is vegetationally exuberant and homogeneous, with a large quantity of tall slender trees. A total of 670 individuals in 48 families, 133 genera and 245 species were registered in this floristic inventory. 467 of the plants sampled exhibited DBH < 22.1 cm, representing 70 percent of the total. Abarema mataybifolia (Sandw.) Barneby & Grimes, Leonia glycycarpa Ruiz & Pav., Swartzia reticulata Ducke and Aspidosperma oblongum A. DC. were the species with DBH > 90 cm. Families with greatest species richness and importance value were Fabaceae, Sapotaceae and Lecythidaceae. The Shannon-Wiener diversity (H" = 5.1) and evenness (E" = 0.92) indices suggest that the forest environment is very diversified, but with a relative uniformity of species. However, a uniform spatial distribution of the species in this forest environment was not observed. According to Mantel"s test (p < 0.001), the highest floristic similarity is a function of geographic proximity among suplots.

Modelling Amazonian forest eddy covariance data: a comparison of big leaf versus sun/shade models for the C-14 tower at Manaus I. Canopy photosynthesis

In this study, we concentrate on modelling gross primary productivity using two simple approaches to simulate canopy photosynthesis: "big leaf" and "sun/shade" models. Two approaches for calibration are used: scaling up of canopy photosynthetic parameters from the leaf to the canopy level and fitting canopy biochemistry to eddy covariance fluxes. Validation of the models is achieved by using eddy covariance data from the LBA site C14. Comparing the performance of both models we conclude that numerically (in terms of goodness of fit) and qualitatively, (in terms of residual response to different environmental variables) sun/shade does a better job. Compared to the sun/shade model, the big leaf model shows a lower goodness of fit and fails to respond to variations in the diffuse fraction, also having skewed responses to temperature and VPD. The separate treatment of sun and shade leaves in combination with the separation of the incoming light into direct beam and diffuse make sun/shade a strong modelling tool that catches more of the observed variability in canopy fluxes as measured by eddy covariance. In conclusion, the sun/shade approach is a relatively simple and effective tool for modelling photosynthetic carbon uptake that could be easily included in many terrestrial carbon models.