________________________________________________________________Countless lives have been saved by implantable medical devices (e.g., total artificial hearts, ventricular assist devices, pacemakers, cardioverterdefibrillators, and central lines) and extracorporeal devices that flow whole human blood outside the body through indwelling catheters and external circuits, during cardiopulmonary bypass (CPB), hemodialysis, and extracorporeal membrane oxygenation (ECMO) 1,2 . However, the need to co-administer soluble anticoagulant drugs, such as heparin, with many of these procedures, significantly reduces their safety and hampers their effectiveness 3,4 . Without systemic anticoagulation, these extracorporeal and indwelling devices can rapidly occlude due to thrombosis because clots form when fibrin and platelets in the flowing blood adhere to the surfaces of these artificial materials 5 . Unfortunately, heparin causes significant morbidity and mortality including post-operative bleeding, thrombocytopenia, hypertriglyceridemia, hyperkalemia and hypersensitivity 6 , and its use is contraindicated in several patient populations 7 . In fact, the majority of drug-related deaths from adverse clinical events in the UnitedStates are due to systemic anticoagulation 8 .This need to prevent blood clotting while minimizing administration of anticoagulant drugs has led to the search for biomaterial surface coatings that can directly suppress blood clot formation. The most successful approach to date has been to chemically immobilize heparin on blood-contacting surfaces to reduce thrombosis and lower anticoagulant administration 9,10 . Although this approach has been widely adopted, major limitations persist because the surface-bound heparin leaches, resulting in a progressive loss of anticoagulation 24,25 . Importantly, the TP continues to retain the free LP as a thin mobile liquid layer even when the surface is challenged with a flowing immiscible fluid, such as blood (Fig. 1a). We refer to this unique anti-thrombogenic bilayer composed of the TP and LP coating as a Tethered-Liquid Perfluorocarbon (TLP) surface. RESULTS A generic blood repellent surface coatingTo test the anti-adhesive properties of the TLP coating method, we examined surface adhesion of fresh whole human blood on an acrylic surface sloped at an angle of 30 degrees, with or without a TLP coating composed of tethered perfluorohexane and liquid perfluorodecalin. Blood droplets immediately adhered to the control uncoated acrylic surface and left a trail of blood components over the course of 5 sec (Fig. 1b, top, Supplementary Fig. 1 and Supplementary Movie 1).In contrast, when the same surface was coated with TLP, the blood droplet almost immediately slid off the surface (< 0.3 sec), and remarkably, there was no evidence of any residual blood trail (Fig. 1b, Supplementary Fig. 1 and Supplementary Movie 2). We quantified blood adhesion to surfaces by measuring the minimum angle required to cause a droplet to slide ("sliding angle") ( Fig. 1c). Control uncoated s...

South‐East Australia has recently been subjected to two of the worst droughts in the historical record (Millennium Drought, 2000–2009 and Big Dry, 2017–2019). Unfortunately, a lack of forest monitoring has made it difficult to determine whether widespread tree mortality has resulted from these droughts. Anecdotal observations suggest the Big Dry may have led to more significant tree mortality than the Millennium drought. Critically, to be able to robustly project future expected climate change effects on Australian vegetation, we need to assess the vulnerability of Australian trees to drought. Here we implemented a model of plant hydraulics into the Community Atmosphere Biosphere Land Exchange (CABLE) land surface model. We parameterized the drought response behaviour of five broad vegetation types, based on a common garden dry‐down experiment with species originating across a rainfall gradient (188–1,125 mm/year) across South‐East Australia. The new hydraulics model significantly improved (~35%–45% reduction in root mean square error) CABLE’s previous predictions of latent heat fluxes during periods of water stress at two eddy covariance sites in Australia. Landscape‐scale predictions of the greatest percentage loss of hydraulic conductivity (PLC) of about 40%–60%, were broadly consistent with satellite estimates of regions of the greatest change in both droughts. In neither drought did CABLE predict that trees would have reached critical PLC in widespread areas (i.e. it projected a low mortality risk), although the model highlighted critical levels near the desert regions of South‐East Australia where few trees live. Overall, our experimentally constrained model results imply significant resilience to drought conferred by hydraulic function, but also highlight critical data and scientific gaps. Our approach presents a promising avenue to integrate experimental data and make regional‐scale predictions of potential drought‐induced hydraulic failure.

Tree mortality is a key driver of forest community composition and carbon dynamics. Strong winds associated with severe convective storms are dominant natural drivers of tree mortality in the Amazon. Why forests vary with respect to their vulnerability to wind events and how the predicted increase in storm events might affect forest ecosystems within the Amazon are not well understood. We found that windthrows are common in the Amazon region extending from northwest (Peru, Colombia, Venezuela, and west Brazil) to central Brazil, with the highest occurrence of windthrows in the northwest Amazon. More frequent winds, produced by more frequent severe convective systems, in combination with well-known processes that limit the anchoring of trees in the soil, help to explain the higher vulnerability of the northwest Amazon forests to winds. Projected increases in the frequency and intensity of convective storms in the Amazon have the potential to increase wind-related tree mortality. A forest demographic model calibrated for the northwestern and the central Amazon showed that northwestern forests are more resilient to increased wind-related tree mortality than forests in the central Amazon. Our study emphasizes the importance of including wind-related tree mortality in model simulations for reliable predictions of the future of tropical forests and their effects on the Earth' system. A R 1995 Classification of multispectral images based on fractions of endmembers-application to land-cover change in the Brazilian amazon Remote Sens. Environ. 52 137-54 Aragao L E O C et al 2009 Above-and below-ground net primary productivity across ten Amazonian forests on contrasting soils Biogeosciences 6 2759-78 Baker T R et al 2004 Variation in wood density determines spatial patterns in Amazonian forest biomass Glob. Change Biol. 10 545-62 Boose E R, Serrano M I and Foster D R 2004 Landscape and regional impacts of hurricanes in Puerto Rico Ecol. Monogr. 74 335-52 Carlotto M J 1999 Reducing the effects of space-varying, wavelength-dependent scattering in multispectral imagery Int. J. Remote Sens. 20 3333-44 Chambers J Q, dos Santos J, Ribeiro R J and Higuchi N 2001 Tree damage, allometric relationships, and above-ground net primary production in central Amazon forest Forest Ecol.

Climatic changes have profound effects on the distribution of biodiversity, but untangling the links between climatic change and ecosystem functioning is challenging, particularly in high diversity systems such as tropical forests. Tropical forests may also show different responses to a changing climate, with baseline climatic conditions potentially inducing differences in the strength and timing of responses to droughts. Trait‐based approaches provide an opportunity to link functional composition, ecosystem function and environmental changes. We demonstrate the power of such approaches by presenting a novel analysis of long‐term responses of different tropical forest to climatic changes along a rainfall gradient. We explore how key ecosystem's biogeochemical properties have shifted over time as a consequence of multi‐decadal drying. Notably, we find that drier tropical forests have increased their deciduous species abundance and generally changed more functionally than forests growing in wetter conditions, suggesting an enhanced ability to adapt ecologically to a drying environment.

Wind disturbance can create large forest blowdowns, which greatly reduces live biomass and adds uncertainty to the strength of the Amazon carbon sink. Observational studies from within the central Amazon have quantified blowdown size and estimated total mortality but have not determined which trees are most likely to die from a catastrophic wind disturbance. Also, the impact of spatial dependence upon tree mortality from wind disturbance has seldom been quantified, which is important because wind disturbance often kills clusters of trees due to large treefalls killing surrounding neighbors. We examine (1) the causes of differential mortality between adult trees from a 300-ha blowdown event in the Peruvian region of the northwestern Amazon, (2) how accounting for spatial dependence affects mortality predictions, and (3) how incorporating both differential mortality and spatial dependence affect the landscape level estimation of necromass produced from the blowdown. Standard regression and spatial regression models were used to estimate how stem diameter, wood density, elevation, and a satellite-derived disturbance metric influenced the probability of tree death from the blowdown event. The model parameters regarding tree characteristics, topography, and spatial autocorrelation of the field data were then used to determine the consequences of non-random mortality for landscape production of necromass through a simulation model. Tree mortality was highly non-random within the blowdown, where tree mortality rates were highest for trees that were large, had low wood density, and were located at high elevation. Of the differential mortality models, the non-spatial models overpredicted necromass, whereas the spatial model slightly underpredicted necromass. When parameterized from the same field data, the spatial regression model with differential mortality estimated only 7.5% more dead trees across the entire blowdown than the random mortality model, yet it estimated 51% greater necromass. We suggest that predictions of forest carbon loss from wind disturbance are sensitive to not only the underlying spatial dependence of observations, but also the biological differences between individuals that promote differential levels of mortality.