Consistent patterns of common species across tropical tree communities.

Trees structure the Earth's most biodiverse ecosystem, tropical forests. The vast number of tree species presents a formidable challenge to understanding these forests, including their response to environmental change, as very little is known about most tropical tree species. A focus on the common species may circumvent this challenge. Here we investigate abundance patterns of common tree species using inventory data on 1,003,805 trees with trunk diameters of at least 10 cm across 1,568 locations1-6 in closed-canopy, structurally intact old-growth tropical forests in Africa, Amazonia and Southeast Asia. We estimate that 2.2%, 2.2% and 2.3% of species comprise 50% of the tropical trees in these regions, respectively. Extrapolating across all closed-canopy tropical forests, we estimate that just 1,053 species comprise half of Earth's 800 billion tropical trees with trunk diameters of at least 10 cm. Despite differing biogeographic, climatic and anthropogenic histories7, we find notably consistent patterns of common species and species abundance distributions across the continents. This suggests that fundamental mechanisms of tree community assembly may apply to all tropical forests. Resampling analyses show that the most common species are likely to belong to a manageable list of known species, enabling targeted efforts to understand their ecology. Although they do not detract from the importance of rare species, our results open new opportunities to understand the world's most diverse forests, including modelling their response to environmental change, by focusing on the common species that constitute the majority of their trees.

Direct and indirect effects of climate on richness drive the latitudinal diversity gradient in forest trees.

Climate is widely recognised as an important determinant of the latitudinal diversity gradient. However, most existing studies make no distinction between direct and indirect effects of climate, which substantially hinders our understanding of how climate constrains biodiversity globally. Using data from 35 large forest plots, we test hypothesised relationships amongst climate, topography, forest structural attributes (stem abundance, tree size variation and stand basal area) and tree species richness to better understand drivers of latitudinal tree diversity patterns. Climate influences tree richness both directly, with more species in warm, moist, aseasonal climates and indirectly, with more species at higher stem abundance. These results imply direct limitation of species diversity by climatic stress and more rapid (co-)evolution and narrower niche partitioning in warm climates. They also support the idea that increased numbers of individuals associated with high primary productivity are partitioned to support a greater number of species.

Empirical selection between least-cost and current-flow designs for establishing wildlife corridors in Gabon.

Corridors are intended to increase species survival by abating landscape fragmentation resulting from the conversion of natural habitats into human-dominated matrices. Conservation scientists often rely on 1 type of corridor model, typically the least-cost model or current-flow model, to construct a linkage design, and their choice is not usually based on theory or empirical evidence. We developed a method to empirically confirm whether corridors produced by these 2 models are used by target species under current landscape conditions. We applied this method in the Gamba landscape between 2 national parks in southwestern Gabon. We collected signs of presence of African forest elephant (Loxodonta cyclotis), forest buffalo (Syncerus caffer nanus), and 2 apes, western lowland gorilla (Gorilla gorilla gorilla) and central chimpanzee (Pan troglodytes troglodytes), on transects. We used patch-occupancy models to identify least-cost and current-flow corridors for these 4 species. On average, 28.7% of current-flow corridors overlapped with least-cost corridors, confirming that the choice of corridor model can affect the location of the resulting linkage design. We validated these corridors by monitoring signs and examining camera detections on new transects within and outside modeled corridors. Current-flow corridors performed better than least-cost corridors for elephants, whereas the opposite was found for buffalo and apes. Locations of the highest priority corridors for the 3 taxa did not overlap, and only 18.3% of their combined surface was common among 2 species. We used centrality metrics to calculate the average contribution of corridor pixels to landscape connectivity and derived an index that can be used to prioritize corridors. As a result, we recommend protecting at least 17.4% of the land surface area around Gamba town to preserve the preferred travel routes of the target species.

Selección Empírica entre Diseños de Menor Costo y de Flujo de Corriente para Establecer Corredores de Fauna en Gabón Resumen La intención de los corredores es incrementar la supervivencia de las especies abatiendo la fragmentación del paisaje que resulta de la conversión de los hábitats naturales en matrices dominadas por humanos. Los científicos de la conservación con frecuencia dependen de un tipo de modelo de corredor, comúnmente el modelo de menor costo o el de flujo de corriente para construir un diseño de conexiones y su elección no suele estar basada en evidencia teórica o empírica. Desarrollamos un método para confirmar empíricamente si los corredores producidos por estos dos modelos son usados por las especies diana bajo las condiciones actuales del paisaje. Aplicamos este método en el paisaje de Gamba entre dos parques nacionales al suroeste de Gabón. Recolectamos señales de la presencia del elefante de bosque africano (Loxodonta cyclotis), el búfalo de bosque (Syncerus caffer nanus), y dos primates: el gorila occidental de tierras bajas (Gorilla gorilla gorilla) y el chimpancé central (Pan troglodytes troglodytes) a lo largo de transectos en esta zona. Usamos modelos de ocupación de fragmentos para identificar los corredores de menor costo y los de flujo de corriente para estas cuatro especies. En promedio, el 28.7% de los corredores de flujo de corriente se traslaparon con los corredores de menor costo, lo que confirmó que la elección de modelo de corredor puede afectar la ubicación del diseño de conexiones resultante. Validamos estos corredores por medio del monitoreo de señales y la examinación de detecciones con cámaras en transectos nuevos dentro y fuera de los corredores modelados. Los corredores de flujo de corriente tuvieron un mejor desempeño que los corredores de menor costo para los elefantes, mientras que fue el caso contrario para los búfalos y los primates. La ubicación de los corredores con mayor prioridad para los tres taxones no se traslapó y sólo el 18.3% de las superficies combinadas fue común para dos especies. Usamos medidas de centralidad para calcular la contribución promedio de los pixeles del corredor hacia la conectividad del paisaje y derivamos un índice que puede usarse para priorizar los corredores. Como resultado de nuestro estudio recomendamos proteger al menos el 17.4% del área de superficie terrestre alrededor del poblado de Gamba para preservar las rutas de viaje de las especies diana.

A view of the global conservation job market and how to succeed in it.

The high demand for conservation work is creating a need for conservation-focused training of scientists. Although many people with postsecondary degrees in biology are finding careers outside academia, many programs and mentors continue to prepare students to follow-in-the-footsteps of their professors. Unfortunately, information regarding how to prepare for today's conservation-based job market is limited in detail and scope. This problem is complicated by the differing needs of conservation organizations in both economically developed and developing regions worldwide. To help scientists identify the tools needed for conservation positions worldwide, we reviewed the current global conservation job market and identified skills required for success in careers in academia, government, nonprofit, and for-profit organizations. We also interviewed conservation professionals across all conservation sectors. Positions in nonprofit organizations were the most abundant, whereas academic jobs were only 10% of the current job market. The most common skills required across sectors were a strong disciplinary background, followed by analytical and technical skills. Academic positions differed the most from other types of positions in that they emphasized teaching as a top skill. Nonacademic jobs emphasized the need for excellent written and oral communication, as well as project-management experience. Furthermore, we found distinct differences across job locations. Positions in developing countries emphasized language and interpersonal skills, whereas positions in countries with advanced economies focused on publication history and technical skills. Our results were corroborated by the conservation professionals we interviewed. Based on our results, we compiled a nondefinitive list of conservation-based training programs that are likely to provide training for the current job market. Using the results of this study, scientists may be better able to tailor their training to maximize success in the conservation job market. Similarly, institutions can apply this information to create educational programs that produce graduates primed for long-term success.

Antipoaching standards in onshore hydrocarbon concessions drawn from a Central African case study.

Unsustainable hunting outside protected areas is threatening tropical biodiversity worldwide and requires conservationists to engage increasingly in antipoaching activities. Following the example of ecocertified logging companies, we argue that other extractive industries managing large concessions should engage in antipoaching activities as part of their environmental management plans. Onshore hydrocarbon concessions should also adopt antipoaching protocols as a standard because they represent a biodiversity threat comparable to logging. We examined the spatiotemporal patterns of small- and large-mammal poaching in an onshore oil concession in Gabon, Central Africa, with a Bayesian occupancy model based on signs of poaching collected from 2010 to 2015 on antipoaching patrols. Patrol locations were initially determined based on local intelligence and past patrol successes (adaptive management) and subsequently with a systematic sampling of the concession. We generated maps of poaching probability in the concession and determined the temporal trends of this threat over 5 years. The spatiotemporal patterns of large- and small-mammal poaching differed throughout the concession, and likely these groups will need different management strategies. By elucidating the relationship between site-specific sampling effort and detection probability, the Bayesian method allowed us to set goals for future antipoaching patrols. Our results indicate that a combination of systematic sampling and adaptive management data is necessary to infer spatiotemporal patterns with the statistical method we used. On the basis of our case study, we recommend hydrocarbon companies interested in implementing efficient antipoaching activities in their onshore concessions to lay the foundation of long-needed industry standards by: adequately measuring antipoaching effort; mixing adaptive management and balanced sampling; setting goals for antipoaching effort; pairing patrols with large-mammal monitoring; supporting antipoaching patrols across the landscape; restricting access to their concessions; performing random searches for bushmeat and mammal products at points of entry; controlling urban and agricultural expansion; supporting bushmeat alternatives; and supporting land-use planning.

CTFS-ForestGEO: a worldwide network monitoring forests in an era of global change.

Global change is impacting forests worldwide, threatening biodiversity and ecosystem services including climate regulation. Understanding how forests respond is critical to forest conservation and climate protection. This review describes an international network of 59 long-term forest dynamics research sites (CTFS-ForestGEO) useful for characterizing forest responses to global change. Within very large plots (median size 25 ha), all stems ≥ 1 cm diameter are identified to species, mapped, and regularly recensused according to standardized protocols. CTFS-ForestGEO spans 25 °S-61 °N latitude, is generally representative of the range of bioclimatic, edaphic, and topographic conditions experienced by forests worldwide, and is the only forest monitoring network that applies a standardized protocol to each of the world's major forest biomes. Supplementary standardized measurements at subsets of the sites provide additional information on plants, animals, and ecosystem and environmental variables. CTFS-ForestGEO sites are experiencing multifaceted anthropogenic global change pressures including warming (average 0.61 °C), changes in precipitation (up to ± 30% change), atmospheric deposition of nitrogen and sulfur compounds (up to 3.8 g N m(-2) yr(-1) and 3.1 g S m(-2) yr(-1)), and forest fragmentation in the surrounding landscape (up to 88% reduced tree cover within 5 km). The broad suite of measurements made at CTFS-ForestGEO sites makes it possible to investigate the complex ways in which global change is impacting forest dynamics. Ongoing research across the CTFS-ForestGEO network is yielding insights into how and why the forests are changing, and continued monitoring will provide vital contributions to understanding worldwide forest diversity and dynamics in an era of global change.

Hypothesis-driven and field-validated method to prioritize fragmentation mitigation efforts in road projects.

The active field of connectivity conservation has provided numerous methods to identify wildlife corridors with the aim of reducing the ecological effect of fragmentation. Nevertheless, these methods often rely on untested hypotheses of animal movements, usually fail to generate fine-scale predictions of road crossing sites, and do not allow managers to prioritize crossing sites for implementing road fragmentation mitigation measures. We propose a new method that addresses these limitations. We illustrate this method with data from southwestern Gabon (central Africa). We used stratified random transect surveys conducted in two seasons to model the distribution of African forest elephant (Loxodonta cyclotis), forest buffalo (Syncerus caffer nanus), and sitatunga (Tragelaphus spekii) in a mosaic landscape along a 38.5 km unpaved road scheduled for paving. Using a validation data set of recorded crossing locations, we evaluated the performance of three types of models (local suitability, local least-cost movement, and regional least-cost movement) in predicting actual road crossings for each species, and developed a unique and flexible scoring method for prioritizing road sections for the implementation of road fragmentation mitigation measures. With a data set collected in <10 weeks of fieldwork, the method was able to identify seasonal changes in animal movements for buffalo and sitatunga that shift from a local exploitation of the site in the wet season to movements through the study site in the dry season, whereas elephants use the entire study area in both seasons. These three species highlighted the need to use species- and season-specific modeling of movement. From these movement models, the method ranked road sections for their suitability for implementing fragmentation mitigation efforts, allowing managers to adjust priority thresholds based on budgets and management goals. The method relies on data that can be obtained in a period compatible with environmental impact assessment constraints, and is flexible enough to incorporate other potential movement models and scoring criteria. This approach improves upon available methods and can help inform prioritization of road and other linear infrastructure segments that require impact mitigation methods to ensure long-term landscape connectivity.

Real-world persistence with dolutegravir/lamivudine versus bictegravir/emtricitabina/tenofovir-alafenamide among people with HIV. / Persistencia de los tratamientos con dolutegravir/lamivudina y bictegravir/emtricitabina/tenofovir-alafenamida en personas con VIH en la práctica real.

OBJETIVES: The main objective was to compare the persistence between dolutegravir/lamivudine (DTG/3TC) and bictegravir/emtricitabine/tenofovir-alafenamide (BIC/FTC/TAF) and to analyze reasons for discontinuation. METHODS: We conducted a retrospective, non-interventional, descriptive and longitudinal study. All human immunodeficiency virus (HIV) patients over 18 years treated with DTG/3TC or BIC/FTC/TAF in our center were included. Persistence after first year was compared using the χ2 test. Kaplan-Meier survival analysis was performed. RESULTS: Three hundred fifty-eight patients were included. 99.5% versus 90.99% of patients were persistent after the first year for DTG/3TC and BIC/FTC/TAF respectively (p = 0.001). Persistence with DGT/3TC was 1,237 days (IC95% 1,216-1,258) and persistence with BIC/FTC/TAF was 986 days ([IC95% 950-1,021]; p < 0.001). The difference was remained after adjusting for covariates with the cox regression model (HR= 8.2 [IC95% 1.03-64.9], p = 0.047). The main reasons for discontinuation for BIC/FTC/TAF were toxicity/tolerability. CONCLUSION: In our study patients had a high persistence. Patients on DTG/3TC treatment were more persistent compared to BIC/FTC/TAF, although BIC/FTC/TAF have worse baseline characteristics. The main reason for discontinuation of BIC/FTC/TAF was tolerability/toxicity.

[Translated article] Real-world persistence with dolutegravir/lamivudine versus bictegravir/emtricitabine/tenofovir-alafenamide among persons with HIV.

OBJETIVES: The main objective was to compare the persistence between dolutegravir/lamivudine (DTG/3TC) and bictegravir/emtricitabine/tenofovir-alafenamide (BIC/FTC/TAF) and to analyze reasons for discontinuation. METHODS: We conducted a retrospective, non-interventional, descriptive, and longitudinal study. All human immunodeficiency virus (HIV) patients over 18 years treated with DTG/3TC or BIC/FTC/TAF in our center were included. Persistence after first year was compared using the χ2 test. Kaplan-Meier survival analysis was performed. RESULTS: Three hundred fifty-eight patients were included. 99.5% versus 90.99% of patients were persistent after the first year for DTG/3TC and BIC/FTC/TAF respectively (p=.001). Persistence with DGT/3TC was 1237 days (IC95% 1216-1258) and persistence with BIC/FTC/TAF was 986 days [(IC95% 950-1021); p<.001]. The difference was remained after adjusting for covariates with the cox regression model [HR=8.2 (IC95% 1.03-64.9), p=.047]. The main reasons for discontinuation for BIC/FTC/TAF were toxicity/tolerability. CONCLUSION: In our study, patients have a high persistence. Patients on DTG/3TC treatment are more persistent compared to BIC/FTC/TAF, although BIC/FTC/TAF have worse baseline characteristics. The main reason for discontinuation of BIC/FTC/TAF is tolerability/toxicity.

Tropical tree ectomycorrhiza are distributed independently of soil nutrients.

Mycorrhizae, a form of plant-fungal symbioses, mediate vegetation impacts on ecosystem functioning. Climatic effects on decomposition and soil quality are suggested to drive mycorrhizal distributions, with arbuscular mycorrhizal plants prevailing in low-latitude/high-soil-quality areas and ectomycorrhizal (EcM) plants in high-latitude/low-soil-quality areas. However, these generalizations, based on coarse-resolution data, obscure finer-scale variations and result in high uncertainties in the predicted distributions of mycorrhizal types and their drivers. Using data from 31 lowland tropical forests, both at a coarse scale (mean-plot-level data) and fine scale (20 × 20 metres from a subset of 16 sites), we demonstrate that the distribution and abundance of EcM-associated trees are independent of soil quality. Resource exchange differences among mycorrhizal partners, stemming from diverse evolutionary origins of mycorrhizal fungi, may decouple soil fertility from the advantage provided by mycorrhizal associations. Additionally, distinct historical biogeographies and diversification patterns have led to differences in forest composition and nutrient-acquisition strategies across three major tropical regions. Notably, Africa and Asia's lowland tropical forests have abundant EcM trees, whereas they are relatively scarce in lowland neotropical forests. A greater understanding of the functional biology of mycorrhizal symbiosis is required, especially in the lowland tropics, to overcome biases from assuming similarity to temperate and boreal regions.

Distribution of a community of mammals in relation to roads and other human disturbances in Gabon, central Africa.

We present the first community-level study of the associations of both roads and other human disturbances with the distribution of mammals in Gabon (central Africa). Our study site was in an oil concession within a littoral mosaic landscape. We conducted surveys along 199 line transects and installed camera traps on 99 of these transects to document mammal presence and abundance. We used generalized linear mixed-effect models to document associations between variables related to the ecosystem (land cover, topography, and hydrology), roads (coating, width of rights of way, condition, type of vehicle used on the road, traffic level, affiliation of users, and general type of road), and other human disturbances (urbanization, agriculture, hunting, logging, gathering, and industrial activities) and the abundance or presence of 17 species or groups of mammals including elephant (Loxodonta cyclotis), buffalo (Syncerus caffer), sitatunga (Tragelaphus spekei), red river hog (Potamochoerus porcus), smaller ungulates, gorilla (Gorilla gorilla), chimpanzee (Pan troglodytes), side-striped jackal (Canis adustus), carnivores, monkeys, and large rodents. Some types of roads and other human disturbances were negatively associated with the abundance or presence of elephants, buffalos, gorillas, sitatungas, some monkeys, and duikers. The pattern of associations of mammals with roads and other human disturbances was diverse and included positive associations with road presence (red river hog, some monkeys, and duikers), agriculture (sitatunga, small carnivores, and large rodents) and industrial activities (sitatunga, red river hog, red duikers, and side-striped jackal). Our results suggest that the community of mammals we studied was mostly affected by hunting, agriculture, and urbanization, which are facilitated by road presence. We recommend increased regulation of agriculture, hunting, and road building in the area.

The monarch butterfly in Mexico: a conservation model.

Each fall, millions of monarch butterflies (Danaus plexippus L.) travel from Canada and the United States to overwinter in Mexico and California. In 2022, the IUCN listed migratory monarchs as endangered because of their population decline. The main accepted drivers are widespread use of herbicides, effects of climate, and land use change that causes habitat loss. We analyzed the main actions taken to officially protect the overwintering sites and the migration phenomenon with the establishment of the Monarch Butterfly Biosphere Reserve in 2000. The conservation of the monarch overwintering sites in Mexico is an example of continuous work from their discovery to the present. We highlight the importance of monitoring the areas covered by overwintering monarchs in Mexico. These colonies represent the largest concentrations of monarch populations in the world. In the last 10 years, the average area covered by monarchs was 2.72 ( ± 0.47 SE) hectares.

Assessing the ecological quality status of macrobenthic communities in a marine terminal of liquefied natural gas in Peru.

Macrobenthic organisms are useful bioindicators to assess ecological quality status. On the south-central coast of Peru (13°15.15'S, 76°18.5'W), a Liquefied Natural Gas (LNG) marine terminal has been operating since 2010. We investigated the macrobenthic communities and sediment parameters from 2011 to 2020 to evaluate the ecological quality status in the surrounding area of the marine terminal, using the AZTI Marine Biotic Index (AMBI) and its multivariate version (M-AMBI). We analyzed the diversity and community composition of macrobenthic invertebrates and the physico-chemical parameters of the sediment from 29 sampling sites, ranging from 0 to 15m depth. The sampling design considered: the direct influence zone ("DIZ", surroundings of the marine terminal), and northern (NCZ) and southern (SCZ) control zones. Our results indicated that abundance was high at SCZ and decreased with depth. Species richness and diversity were high at DIZ and NCZ, respectively, and increased up to 10m but dropped at 15m. High sand content was recorded in shallow depths, while in deeper areas and DIZ, mud and organic matter increased and redox potential was negative. AMBI indicated a "slightly disturbed" status in general, while M-AMBI indicated "good" or "moderate" status at depths ≤ 12m, and "poor" status at 15m. Overall, the season/year factor was not important, and variables were mostly significantly different across depths. Redox potential and organic matter were correlated with M-AMBI at 15m. In general, our results indicate an acceptable ecological quality surrounding the marine terminal, likely because the study area is not influenced by an important input of an anthropogenic stressor. This study highlights the importance of monitoring benthic communities in the surroundings of human-made structures and the use of ecological quality indices for understanding potential impacts.

Mycorrhizal feedbacks influence global forest structure and diversity.

One mechanism proposed to explain high species diversity in tropical systems is strong negative conspecific density dependence (CDD), which reduces recruitment of juveniles in proximity to conspecific adult plants. Although evidence shows that plant-specific soil pathogens can drive negative CDD, trees also form key mutualisms with mycorrhizal fungi, which may counteract these effects. Across 43 large-scale forest plots worldwide, we tested whether ectomycorrhizal tree species exhibit weaker negative CDD than arbuscular mycorrhizal tree species. We further tested for conmycorrhizal density dependence (CMDD) to test for benefit from shared mutualists. We found that the strength of CDD varies systematically with mycorrhizal type, with ectomycorrhizal tree species exhibiting higher sapling densities with increasing adult densities than arbuscular mycorrhizal tree species. Moreover, we found evidence of positive CMDD for tree species of both mycorrhizal types. Collectively, these findings indicate that mycorrhizal interactions likely play a foundational role in global forest diversity patterns and structure.

Arbuscular mycorrhizal trees influence the latitudinal beta-diversity gradient of tree communities in forests worldwide.

Arbuscular mycorrhizal (AM) and ectomycorrhizal (EcM) associations are critical for host-tree performance. However, how mycorrhizal associations correlate with the latitudinal tree beta-diversity remains untested. Using a global dataset of 45 forest plots representing 2,804,270 trees across 3840 species, we test how AM and EcM trees contribute to total beta-diversity and its components (turnover and nestedness) of all trees. We find AM rather than EcM trees predominantly contribute to decreasing total beta-diversity and turnover and increasing nestedness with increasing latitude, probably because wide distributions of EcM trees do not generate strong compositional differences among localities. Environmental variables, especially temperature and precipitation, are strongly correlated with beta-diversity patterns for both AM trees and all trees rather than EcM trees. Results support our hypotheses that latitudinal beta-diversity patterns and environmental effects on these patterns are highly dependent on mycorrhizal types. Our findings highlight the importance of AM-dominated forests for conserving global forest biodiversity.

Abundance, density, and social structure of African forest elephants (Loxodonta cyclotis) in a human-modified landscape in southwestern Gabon.

Population monitoring is critical to effective conservation, but forest living taxa can be difficult to directly observe. This has been true of African forest elephants (Loxodonta cyclotis), for which we have limited information regarding population size and social behavior despite their threatened conservation status. In this study, we estimated demographic parameters using genetic capture-recapture of forest elephants in the southern Industrial Corridor of the Gamba Complex of Protected Areas in southwestern Gabon, which is considered a global stronghold for forest elephants. Additionally, we examined social networks, predicting that we would find matrilineal structure seen in both savanna and forest elephants. Given 95% confidence intervals, we estimate population size in the sampled area to be between 754 and 1,502 individuals and our best density estimate ranges from 0.47 to 0.80 elephants per km2. When extrapolated across the entire Industrial Corridor, this estimate suggests an elephant population size of 3,033 to 6,043 based on abundance or 1,684 to 2,832 based on density, approximately 40-80% smaller than previously suggested. Our social network analysis revealed approximately half of network components included females with different mitochondrial haplotypes suggesting a wider range of variation in forest elephant sociality than previously thought. This study emphasizes the threatened status of forest elephants and demonstrates the need to further refine baseline estimates of population size and knowledge on social behavior in this taxon, both of which will aid in determining how population dynamics in this keystone species may be changing through time in relation to increasing conservation threats.

A map of African humid tropical forest aboveground biomass derived from management inventories.

Forest biomass is key in Earth carbon cycle and climate system, and thus under intense scrutiny in the context of international climate change mitigation initiatives (e.g. REDD+). In tropical forests, the spatial distribution of aboveground biomass (AGB) remains, however, highly uncertain. There is increasing recognition that progress is strongly limited by the lack of field observations over large and remote areas. Here, we introduce the Congo basin Forests AGB (CoFor-AGB) dataset that contains AGB estimations and associated uncertainty for 59,857 1-km pixels aggregated from nearly 100,000 ha of in situ forest management inventories for the 2000 - early 2010s period in five central African countries. A comprehensive error propagation scheme suggests that the uncertainty on AGB estimations derived from c. 0.5-ha inventory plots (8.6-15.0%) is only moderately higher than the error obtained from scientific sampling plots (8.3%). CoFor-AGB provides the first large scale view of forest AGB spatial variation from field data in central Africa, the second largest continuous tropical forest domain of the world.

Soil nitrogen concentration mediates the relationship between leguminous trees and neighbor diversity in tropical forests.

Legumes provide an essential service to ecosystems by capturing nitrogen from the atmosphere and delivering it to the soil, where it may then be available to other plants. However, this facilitation by legumes has not been widely studied in global tropical forests. Demographic data from 11 large forest plots (16-60 ha) ranging from 5.25° S to 29.25° N latitude show that within forests, leguminous trees have a larger effect on neighbor diversity than non-legumes. Where soil nitrogen is high, most legume species have higher neighbor diversity than non-legumes. Where soil nitrogen is low, most legumes have lower neighbor diversity than non-legumes. No facilitation effect on neighbor basal area was observed in either high or low soil N conditions. The legume-soil nitrogen positive feedback that promotes tree diversity has both theoretical implications for understanding species coexistence in diverse forests, and practical implications for the utilization of legumes in forest restoration.

Frailty as a predictor of short- and long-term mortality in critically ill older medical patients.

PURPOSE: Frailty is a common condition among critically ill patients. Usually evaluated in a mixed population of medical, cardiac and surgical patients, we aimed to assess the impact of frailty on short- and long-term mortality exclusively in critically ill older medical patients. MATERIALS AND METHODS: We included 285 patients aged≥70 years admitted to ICU (2009-2017). Comorbidities, severity scores, treatment intensity and complications were recorded. Pre-hospital frailty, measured by Clinical Frailty Scale (CFS), was defined as a score ≥ 5 according to this scale. RESULTS: Prevalence of frailty (CFS ≥ 5) of 18.6%. Frail patients were more likely to be female (64.2% vs. 35.6%, p < .001) or suffer from heart failure (17% vs. 6%,p = .021). Apache II score was higher in frail than in non-frail patients (27.4 ±â€¯7.1 vs. 24.8 ±â€¯8.6,p = .041). Age, comorbidities, treatment intensity, complications, and ICU and hospital length of stay were similar between frail and non-frail patients. Life-sustaining treatment limitation was more frequent in frail patients (47.2% vs. 20.7%,p < .001). Except for ICU mortality, frailty was an independent predictor of short- and long-term mortality after adjustment for sociodemographic, comorbidities, severity scores, treatment intensity and complications. CONCLUSIONS: Frailty (CFS ≥ 5) was independently associated with short- and long-term mortality in older patients admitted to ICU exclusively due to a medical reason.

The Forest Observation System, building a global reference dataset for remote sensing of forest biomass.

Forest biomass is an essential indicator for monitoring the Earth's ecosystems and climate. It is a critical input to greenhouse gas accounting, estimation of carbon losses and forest degradation, assessment of renewable energy potential, and for developing climate change mitigation policies such as REDD+, among others. Wall-to-wall mapping of aboveground biomass (AGB) is now possible with satellite remote sensing (RS). However, RS methods require extant, up-to-date, reliable, representative and comparable in situ data for calibration and validation. Here, we present the Forest Observation System (FOS) initiative, an international cooperation to establish and maintain a global in situ forest biomass database. AGB and canopy height estimates with their associated uncertainties are derived at a 0.25 ha scale from field measurements made in permanent research plots across the world's forests. All plot estimates are geolocated and have a size that allows for direct comparison with many RS measurements. The FOS offers the potential to improve the accuracy of RS-based biomass products while developing new synergies between the RS and ground-based ecosystem research communities.