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This paper proposed and verified an optimal estimation method of satellite attitude deviation in orbit based on the frequency domain features of microwave remote sensing data from the Gaofen-3B (GF-3B) satellite. The Synthetic Aperture Radar (SAR) imaging results of the Amazon forest's strip pattern were obtained at different imaging incident angles of the GF-3B satellite. Then, the inversions of the Doppler center deviation of the SAR signal obtained the corresponding beam pointing errors at different imaging incident angles. Next, a three-degree-of-freedom nonlinear least square fitting model was established between the Doppler center deviation of the SAR signal and satellite attitude deviation. Combined with the measured SAR signals, satellite attitude deviations in different dimensions (pitch, yaw, and roll) were separated and estimated. On this basis, the GF-3B satellite proceeded with an on-orbit attitude correction test. The maximum Doppler center deviation at all imaging incident angles decreased from 400Hz to 46Hz, and the residual beam pointing errors were less than 0.01°. The proposed optimal estimation method can guarantee the on-orbit attitude deviation suppression and image quality improvement of the SAR satellites. • An optimal attitude deviations estimation method of SAR satellites is proposed based on the echo frequency domain features. • The fitting model of attitude deviations is established by combining microwave remote sensing imagery and orbit dynamics. • The proposed method has been used for the GF-3B satellite and verified by in-orbit imaging experiments. [ABSTRACT FROM AUTHOR]

Large scale surveys of rain forest livelihoods open up new possibilities for understanding the role of forest resources in the well-being of forest peoples but often overlook the factors that influence the diverse economic foci of forest-based communities. In this paper we describe the Peruvian Amazon Rural Livelihoods and Poverty (PARLAP) Project which seeks to identify the factors that contribute to rural poverty among indigenous and folk peoples through the first large scale survey conducted in this data poor region. Our paper draws upon a community census undertaken in four major river sub-basins in eastern Peru (n = 919 communities) and asks the question, how do environmental and market factors influence the economic orientation of rain forest communities? Recognizing that standard approaches that explain activity choice by current conditions are problematic because of potential endogeneity, we propose a new analytical framework that examines how historical (initial) conditions determine current conditions and thus current economic activities. Our approach produces a rich array of results that point to the importance of initial environmental endowments and market access of communities in shaping their economic orientation, interacting in different ways depending on the key natural resource upon which they rely. [ABSTRACT FROM AUTHOR]

Looking beyond a normative analysis of oil palm expansion, this paper offers a nuanced analysis of landscape transformations in the Brazilian Amazonian region of Tomé-Açu. Based on quantitative and qualitative data deriving from interviews with key stakeholders, focus groups and surveys with smallholders and migrant workers, contextualized and cross-checked with observations between 2011 and 2017 and secondary sources, we discuss the processes and outcomes of Brazil's Sustainable Oil Palm Production Program (SPOPP). Despite its participatory component and innovative design, simultaneously tackling environmental, economic and social dimensions, the program underwent rapid structural change and suffered from discontinuity. A new boom and bust cycle emerged in the region, however, both "boom" and "bust" periods were marked by mixed outcomes. Notwithstanding the current governance shift characterized by absent state, reduced participation and disinvestment, local agency has been able to reorganize the sector on the ground and a transformed landscape emerged. However, under the current setting if expansion recommences there is no guarantee the sector will be able to avoid many of the socio-environmental problems experienced in the past. • SPOPP is an example of the emergence of participatory governance modes in the Brazilian Amazon. • SPOPP triggered a new boom and bust cycle in the researched region. • Outcomes of both cycles were mixed, from euphoria and criticism to disenchantment and reorganization. • Despite state withdrawal and reduced participatory governance the sector reconfigured under local and global drivers. • If expansion recommences there are several socio-environmental risks under the current governance shift. [ABSTRACT FROM AUTHOR]

• SWAF-HR data is new water surface extent product at 1 km over the Amazon basin from 2010 to 2016 every 3 days. • SWAF-HR provided from the fusion of three datasets: water surface fraction at coarse spatial resolution from an L-band passive microwave sensor (Soil Moisture and Ocean Salinity – SMOS), Global Surface Water Occurrence from Landsat (GSWO) and the Digital Elevation Model (DEM) Multi-Error-Removed-Terrain (MERIT) based on the Shuttle Radar Topography Mission. • The flooded area of the Branco floodplain (Roraima) varies from 0.2 times 104 to 2.7 × 104 km2 whereas the extent of the Bolivian floodplain (Llanos de Moxos) inundation ranges between 0.8 × 104 and 8.1 × 104 km2 during 2010–2016. • The choice of the DEM in the downscaling process introduces 5% of error in the instantaneous water surface extent estimate but can reach up to 10% in the flood probability estimations over seven years. • (MERIT) based on the Shuttle Radar Topography Mission (SRTM). In this paper, we present a methodology to map inland water in tropical areas under dense vegetation at high spatial and temporal resolution using multi-source remote sensing data. A new inundation product (SWAF-HR) is presented. It is characterized by a high spatial resolution (30′, 1 km) and high temporal resolution (3 days). The SWAF-HR product is estimated over the Amazon basin for the 2010–2016 period. It is based on a downscaling procedure and the synergistic use of: (1) water surface fraction at coarse spatial resolution from an L-band passive microwave sensor (Soil Moisture and Ocean Salinity – SMOS), (2) Global Surface Water Occurrence from Landsat (GSWO) and (3) the Digital Elevation Model (DEM) Multi-Error-Removed-Improved-Terrain (MERIT) based on the Shuttle Radar Topography Mission (SRTM). Thanks to the high capability of L-band microwave emission to reveal surface water under all-weather conditions and beneath the vegetation, the inundated area extent estimated by the SWAF-HR product is always larger than GSWO estimates obtained by the optical sensor (Landsat). SWAF-HR data is compared to ESA CCI and IGBP land covers, two SAR images and flooded areas over the Purus basin computed by the MGB-IPH model simulation. The results show the coherence of spatial and temporal dynamics of the SWAF-HR data. We show that the flooded area of the Branco River floodplain in Roraima (Brazil) varies from 0.2 × 104 to 2.7 × 104 km2 whereas the extent of the Bolivian floodplain (Llanos de Moxos) inundation ranges between 0.8 × 104 and 8.1 × 104 km2 during 2010–2016. The flooded area in the Branco floodplain gradually decreased from 2010 to 2015 but in 2016, the flooded area has increased during the rainy season. During 2010–2016, the minimum of the inundated surface extent was reached during 2015–2016 reflecting to a drought event related to ENSO. The most important uncertainties of the DEM are located over tropical areas but this information is essential in the downscaling procedure. Therefore, we investigate the impact of the choice of the DEM for the downscaling procedure. It is found that the choice of the DEM introduces 5% of error in the instantaneous water surface extent estimate but can reach up to 10% in the flood probability estimations over seven years. This new SWAF-HR product will be helpful for the understanding of the water, carbon and biogeochemical cycles of the Amazon. [ABSTRACT FROM AUTHOR]

The Peruvian Amazon is undergoing rapid and uneven economic growth, alongside alarming rates of deforestation, increasing land use change and food security concerns. Although it has been widely acknowledged that food insecurity is intrinsically linked with deforestation, the links have not been thoroughly documented. The aim of this paper is to analyse the trade-offs and synergies between food security and forest exploitation at household level in mestizo communities in Ucayali, one of the regions with the highest deforestation rates in the Peruvian Amazon. To this end, 24 farmers were interviewed, surveys were conducted with a sample of 58 households, and an ad-hoc simulation modelling tool was developed and applied. Four main types of mestizo farming households were identified based on their crop and livestock diversity. For all farm types, the forest mainly represented a set aside area to support a potential increase in agricultural production. However, simulations showed that the different types of households, with different decision rules, lead to different rates of deforestation. The results of this study showed that the most diversified farming households presented the smallest trade-offs between food security and forest conservation, as they are the ones most likely to preserve the forest while ensuring their food security. • Whole farm simulation tools allow assessing the links between food security and forest exploitation. • In the mestizo communities of Ucayali gathering of forest fruits is minimal. • Farm diversification can support synergies between forest conservation and food security. [ABSTRACT FROM AUTHOR]

The Amazon forest in the state of Maranhão ensures ecosystem services that directly and indirectly affect the life quality of its population and economy, via hydrologic and climatic regulation, among other benefits. Currently, only 25% of the original forest cover (24.7 thousand km 2 ) remains while illegal deforestation persists in a violent process that provokes visible social, economic and environmental harm. Simultaneously, Maranhão has seen record levels of burning, faces a water shortage and fights against the worst social and economic indicators in the country. Conversely, secondary vegetation covers 19.9 thousand km 2 (27% of deforested area) and is completely unprotected. Contrary to the international commitments assumed by Brazil to combat deforestation and restore forests, some of the political representatives of Maranhão have sought legal mechanisms to further diminish forest cover in public and private areas. To promote the conservation and restoration of Maranhão Amazon Forest, a multi-institutional network of researchers was established in 2015. This viewpoint paper aims to draw attention to this endangered region of the Brazilian Amazon and give science-oriented recommendations to policy makers in order to avoid more setbacks. We argue that Maranhão state must urgently establish a policy of Zero Deforestation, protect secondary forests and comply with the national forest restoration policy, thus ensuring long-term economic sustainability. [ABSTRACT FROM AUTHOR]

• The research combines economic, historical and anthropological data on the role of forests in local livelihoods in three South American countries. • Results showed the strong economic importance of forests to Indigenous and non-Indigenous peoples, despite different contexts and histories. • Non-economic values of forests were also remarkably strong among Indigenous and non-Indigenous peoples inhabiting forests for varied time scales. • The utilitarian notion behind nature valuation is not sufficient to comprehensively understand how local populations benefit from forests. • Development policies should support and leverage non-economic forest values and cosmologies, and provide sustainable economic alternatives. Research on the contribution of forests to local livelihoods has so far had a strong focus on quantifying the monetary value of forest-derived products and services. In this paper, we move beyond monetary valuation and integrate the less tangible and sometimes culturally complex dimensions through which forests support local livelihoods. We look at four local contexts in the Brazilian, Bolivian and Ecuadorian Amazon, which differ markedly in terms of their biophysical, sociocultural and geopolitical settings. Combining economic and anthropological data, we used quantitative and qualitative methods, and measures of the ecological impacts of local forest uses. Quantitative analyses drew on datasets from 48 communities, and 510 households, while the qualitative analyses relied on semi-structured interviews with 78 families in 22 communities. Forest-based livelihoods exhibited complex portfolios, diversified production systems, seasonal variation of activities, and different specialization strategies. Beyond a source of subsistence and cash incomes, forests were locally valued by people across all sites in terms of identities, worldviews, territorial attachment, governance, and conservation. Populations with a longer history of interactions with the environment displayed more complex forest-related cultural systems, but even among people who had migrated into the forest in a more recent historical period, forest-based self-cultural identification was evident. At all sites, forests were unanimously recognized as critical to people's health and wellbeing, despite substantial differences in local histories, policy and market environments. The findings underscore the persistent importance of non-economic values of forests as both Indigenous and non-Indigenous groups constantly adapt their forest and land use practices based on transcultural exchange and changing conditions. A focus on economic value as the rationale for forest conservation disregards the striking resilience of cultural values in promoting forest conservation and use by diverse local and Indigenous communities, especially when supported by favorable policies and markets. [ABSTRACT FROM AUTHOR]

The Madeira River is the second largest tributary of the Amazon River. It contributes approximately 13% of the Amazon River flow and it may contribute up to 50% of its sediment discharge to the Atlantic Ocean. Until now, the suspended sediment load of the Madeira River was not well known and was estimated in a broad range from 240 to 715 Mt yr −1 . Since 2002, the HYBAM international network developed a new monitoring programme specially designed to provide more reliable data than in previous intents. It is based on the continuous monitoring of a set of 11 gauging stations in the Madeira River watershed from the Andes piedmont to the confluence with the Amazon River, and discrete sampling of the suspended sediment concentration every 7 or 10 days. This paper presents the results of the suspended sediment data obtained in the Madeira drainage basin during 2002–2011. The Madeira River suspended sediment load is estimated at 430 Mt yr −1 near its confluence with the Amazon River. The average production of the Madeira River Andean catchment is estimated at 640 Mt yr −1 (±30%), the corresponding sediment yield for the Andes is estimated at 3000 t km −2 yr −1 (±30%), and the average denudation rate is estimated at 1.20 mm yr −1 (±30%). Contrary to previous results that had mentioned high sedimentation rates in the Beni River floodplain, we detected no measurable sedimentation process in this part of the basin. On the Mamoré River basin, we observed heavy sediment deposition of approximately 210 Mt yr −1 that seem to confirm previous studies. But while these studies mentioned heavy sedimentation in the floodplain, we showed that sediment deposition occurred mainly in the Andean piedmont and immediate foreland in rivers (Parapeti, Grande, Pirai, Yapacani, Chimoré, Chaparé, Secure, Maniqui) with discharges that are not sufficiently large to transport their sediment load downstream in the lowlands. [ABSTRACT FROM AUTHOR]

The relationship between human welfare and deforestation in the Brazilian Amazonia has traditionally been thought to follow a boom-and-bust pattern. According to this pattern, forest clearing triggers rapid increases in human welfare levels (“the boom”) due to short-term economic gains; these levels then drop to below national or regional averages (“the bust”) after the forest stocks have declined, thus causing the local populations to become deprived of ecosystem services. However, recent studies have questioned the validity of this boom-and-bust pattern. In this paper, we use panel data and simultaneous autoregressive models to evaluate the effects of deforestation, urbanization, public investments, agriculture, and state policies on temporal changes in human welfare that occurred across multiple municipalities in the Brazilian Amazonia from 2005 to 2012, a period during which governments implemented a set of strategies aimed at controlling deforestation across the region. We found that: (a) signals of a boom-and-bust pattern are weak at the regional level, and therefore this pattern cannot be generalized across the entire region; (b) human welfare is increasing more rapidly in low-development municipalities than in high-development cities, and all municipalities are converging on at least one regional average rather than on a national average; (c) urbanization does not lead to positive changes in human welfare, which indicates that the infrastructure available in regional urban centers is limited; (d) public investments are negatively associated with human welfare growth, thus signifying that if public investments are not used to leverage the potential of other sectors of the local economy, human welfare will not improve; (e) agriculture is negatively associated with positive changes in human welfare at the local level, possibly due to the dominance of cattle-ranching as the predominant economic activity of this sector; and (f) state-level policies matter, and future analyses of regional trends in the realm of development and conservation across this region should take such policies into account. Finally, we suggest that although human welfare and deforestation retain a weak statistical relationship, we cannot contend that they have been fully decoupled. Forest loss across the region is still pervasive, and institutions are too weak to sustain the transition from a frontier development model to a conservation-centered model. [ABSTRACT FROM AUTHOR]

Summary Participatory approaches have proven effective at producing more inclusive and democratic forms of development, in which marginalized groups are given increased recognition. However, these approaches can also reinforce social hierarchies and political exclusion if they are not developed and implemented carefully. In particular, participatory approaches can be problematic if they too simplistically conceptualize democratic engagement as the folding of individuals into pre-existing governance structures. Utilizing a combination of feminist and postcolonial theories, this paper argues that practitioners of participatory methods must extend their thinking to the ways in which their projects foster engagement across multiple social and epistemological perspectives. Participatory geographic information systems (PGIS) methodologies are particularly effective at enabling these cross-perspectival engagements—geospatial technologies have unique capabilities for storing and visualizing knowledge from different types of knowledge systems. These different forms of knowledge can not only be visualized as multi-facetted and multi-scalar layers, but they can be directly placed in conversation with one another within the space of the map. In this way, they can be used to fundamentally transform historically unjust governance practices, rather than simply folding new subjects into unjust political structures. The authors examine these claims in the context of a case study with the Maijuna indigenous group of the northeastern Peruvian Amazon. The authors collaborated with the Maijuna to create and use a digital, spatial database to influence policy decisions about land tenure and environmental management. We show that geospatial technologies were uniquely capable of encouraging dialog and integration across indigenous, Western scientific, and state-based perspectives of the Amazon. These technologies are particularly effective at empowering traditionally marginalized perspectives within governance processes. This project therefore offers lessons about the benefits and dangers of geospatial technologies and methodologies for improving the democratic potential of development. [ABSTRACT FROM AUTHOR]

The management and governance of shared stocks have long been identified as a challenge to achieve long-term sustainability in fisheries. This is the situation of fisheries in the Amazon basin, a region shared by nine countries. This paper provides an overview of the social-ecological outcomes and management implications of sharing fish stocks among countries with different public policies, taking the valuable Amazonian ornamental silver arawana ( Osteoglossum bicirrhosum ) trade as a case study. Specifically, it (i) presents and discusses the policies of Colombia, Peru and Brazil for the silver arawana fishery, and how these are conducive for the successful management of this shared transboundary fishery; and (ii) analyzes the market for the ornamental silver arawana and how it affects the ability to sustainably manage the fishery. The interplay between the multiple environmental, economic and social dimensions involved in the ornamental silver arawana fishery affects the sustainability of this species even in Brazil, where this fishing is forbidden but still illegally caught by Colombians and Peruvians. Among the factors that make fisheries policies inefficient in this region are: (i) incongruent policies between the countries and institutions with low organizational capacity to accomplish the established policies; (ii) environmental heterogeneity of Amazonian aquatic systems, which requires local and adaptive measures; and (iii) complex socio-economic relationships in the live-fish trade business. Legally binding efforts to reduce problems derived from shared fish stocks are an urgent need and should be addressed by the multilateral organizations created for the Amazonian sustainable development. [ABSTRACT FROM AUTHOR]

This paper provides the first analysis at the sub-municipality scale of the relationships between population densities and deforestation in the Brazilian Amazon between 2000 and 2010. We use the database on deforestation published by the Brazilian space research center (INPE) and the population census data released by the federal geographical and statistical agency IBGE at their finest scale: the census tract level. By crossing the population density and deforestation variables, we identify ten human settlement patterns in the Amazon. There are low-low and high-high classes of population density and deforestation, but also low-high and high-low classes. This analysis helps understand the low overall relations in the Amazon for population and deforestation. We emphasize the expansion of large-scale agriculture and cattle ranching as causing the depopulation of rural areas while in many regions of the Amazon quite strong population densities coexist with relatively low extents of deforestation. Such findings stress the need to implement case-specific public policies in these regions in order to encourage human presence compatible with the conservation of forest cover and biodiversity. We also confirm the importance of the Amazon urbanization process, including the ‘discrete urbanization’ of rural areas, and the need to better recognize the distinct social and environmental problems of urban areas. [ABSTRACT FROM AUTHOR]

• This paper was to characterize the dynamics and spatial aspects of erodibility. • Texture governs higher or lower loss rates according to grain size. • Cultivated IBEs exhibit moderate to high soil loss rates, mainly by runoff. • Texture and organic matter control susceptibility to water erosion in IBEs. • Erodibility factors showed spatial dynamics moderately influenced by relief. Soil erosion generally causes environmental and economic damage to agricultural systems, representing one of the biggest management problems for agriculture. Therefore, understanding the behavior of the erosive process is indispensable for the diagnosis of best conservationist practices of use and management of agricultural resources. The aim of this paper was to characterize the dynamics and spatial aspects of erodibility, its indicators and to evaluate the applicability of the prediction equations of soil loss proposed by Denardin (1990) and Flanagan and Livingston (1995) for cultivated and natural Indian Black Earths (IBEs). Grids with 88 georeferenced sampling points were established for soil sampling at a depth of 0.0–0.20 m. Laboratory analyzes were performed to determine soil particle size and soil organic matter (SOM) analysis. The erodibility factors were calculated and applied univariate analysis, geostatistics and multivariate techniques. Cultivated IBEs exhibit moderate to high soil loss rates even in low slope relief, mainly by runoff. The dynamics of the erodibility factors behave under moderate spatial dependence between the attributes, with high range values and moderate relief influence, indicating high spatial variability, showing the tendency of values of soil losses similar to distances between 15 and 69 m. However, texture and organic matter were the main indicators of erodibility, since medium texture IBEs tend to increase the global and interril erodibility values, and under sandy texture tend to increase erodibility in gully. The increase in SOM elevates erodibility and interril due to the high amount of pyrogenic coal with high capacity to retain water. Therefore, we recommend the adoption of management practices that reduce erosion processes, and mainly avoid the loss of mineralized SOM to maintain crop sustainability. [ABSTRACT FROM AUTHOR]

Distance is a key variable in explicating environmental, social, and economic conditions and in defining spatial and temporal patterns. Prior research has primarily focused on using simple to complex algorithms for calculating distances along road networks. In contrast, few algorithms are available for distance calculations along fluvial networks which are often more erratic, divergent and transient than road networks. Fluvial transportation is relied upon worldwide, particularly in developing regions, where communities use river networks for transportation, access to natural resources and for trade and commerce. This paper presents a methodology developed for mapping complex fluvial networks for travel distance analysis. The methodology was applied in four major river basins in western Amazonia over some 35,000 km of river length and incorporating 919 communities as origins/destinations. A cost path and network analysis methodology was created using vector and raster datasets in a Geographic Information System (GIS) to assess interactions among communities and the distances traveled by river to reach district capitals, major urban centres and marketplaces. An accuracy assessment using distance values calculated from a previous study using a different methodological approach in the region as well as Google Earth Pro, found a high degree of concordance for distance calculations. Our methodology creates a very flexible approach for complex river systems that can be use to calculate river distances in an adaptive and efficient manner and that can be use in other regions of the world where rural communities must rely on rivers for transportation. [ABSTRACT FROM AUTHOR]

Protected areas anchor the ecological infrastructure that societies need for long-term prosperity and provide benefits to local, national, and global stakeholders. However, these areas continue to go unfunded. In this paper, we have provided the first estimate of the return on investment for nine large protected areas that compose the core of the ecological infrastructure of the State of Amapá, which is located in a new forest frontier in Brazilian Amazonia. These nine protected areas will require US $147.2 million over five years in order to be established and then US $32.7 million in annual recurrent costs. If implemented, these nine protected areas have the potential to contribute at least US $362.4 million per year in benefits (timber, non-timber forest products, nature-based tourism, fisheries, and carbon) to the local economy. The return on investment (ROI) of these protected areas will be 1.6% during the first five years and 10% thereafter; however, ROI could reach 45.8% or more if option and non-use values are also included as benefits. Although the costs of establishing the protected area system in Amapá are higher (US $3.2–3.5 ha − 1 y − 1 ) than the costs reported in other tropical forest regions (US $0.2–0.4 ha − 1 y − 1 ), the investments required are within the reach of both state and national governments. Our study shows that if fully implemented, protected areas can become engines for socio-economic upliftment, making the conservation-centered development model a feasible option for most of the world's new forest frontiers. [ABSTRACT FROM AUTHOR]

Summary Protected areas are a cornerstone of forest conservation in developing countries. Yet little is known about their effects on forest cover change or the socioeconomic status of local communities. This paper assesses whether “win–win” scenarios are possible—that is, whether protected areas can both stem forest cover change and alleviate poverty. We examine protected areas in the Peruvian Amazon during the early 2000s. We find that protected areas reduce deforestation. We do not find a robust effect on poverty. Protected areas that allow sustainable extractive activities are more effective in reducing deforestation but less effective in reducing poverty. [ABSTRACT FROM AUTHOR]

• The project 'Tropical Biomass & Carbon' and its main product TB&C App is introduced. • TB&C App is an user-friendly tool that estimates C stored in forests of Brazil. • Model performance analysis proved reliability >95% of the TB&C App's models. • Carbon in Amazonian forests can be accurately and precisely estimated. • A dataset containing 64,000 plots with forest variables is delivered as supplement. This article introduces the Tropical Biomass & Carbon Application – the 'TB&C App', a web application available on the permanent link www.tropicalbiomass.com. The TB&C App requires as input attributes 'the smallest and largest diameters', 'number of trees ha−1', basal area ha−1, and 'parameters of the diameter (beta) distribution' describing stand structure. The App delivers outputs at two levels: (1) Stand level, including mean aboveground biomass (AGB) and carbon (AGC), in Mg ha−1, along with confidence intervals (CIs) as measures of uncertainty, and; (2) Tree level estimates, with AGB and diameter for every simulated tree. Phase 1 of the project TB&C comprises four Brazilian forest (and non-forest) formations: Campinarana, Floresta estacional, Floresta ombrofila , and Savana. This article aims to (i) describe the algorithm written for the TB&C App, and (ii) present results of Phase 1. This first phase counts on a standardized database of 1,428 trees with field-measured dry AGB, from plots across the different formations, which is the largest tree-biomass database compiled so far in Brazil. Model uncertainties were incorporated into the modeling process, allowing computation of CIs through an uncertainty approach. The total variance of residuals of AGB was also modeled, aiming at predicting CIs as a function of the quantity of AGB. An analysis of reliability of the equations implemented in the TB&C App indicates that more than 95% (n = 64,000) of the true AGB's fit into the CI outputted by the TB&C App. A comparison with other approaches in the literature shows significant agreement with previous estimates and more conservative estimates where previously-published estimates disagreed with the TB&C App. We cite as advantages of the TB&C App; (i) reliability of the outputs, (ii) a user-friendly layout, (iii) AGB and AGC estimates provided along with robust CIs, and (iv) estimates at the stand and tree levels with consistent totals. A biomass dataset containing information on 64,000 plots is also delivered as supplement of this paper. [ABSTRACT FROM AUTHOR]

Kaolin is a clay mineral with several applications, especially as filler in the paper industry. Brazil has the largest kaolin processing plant in the world located in the Amazon region. Kaolin mining activities generate high volumes of waste, resulting in additional costs and environmental impacts, and therefore, new approaches for their reduction are necessary. This work elucidates, for the first time, the technological valorization of abundant Amazon Brazilian kaolin mining waste to synthesize pure-phase zeolitic material with the antibacterial application. For the synthesis optimization, it was evaluated the influence of the type of kaolin (natural or thermally treated at 600 °C), the crystallization period (4, 6 and 24 h), the suppression of aluminum source (sodium aluminate) and the zinc ion-exchanging procedure. The materials were characterized by various techniques including powder X-ray diffraction (XRD), aluminum nuclear magnetic resonance with magic-angle spinning (27Al MAS NMR) and X-ray photoelectron spectroscopy (XPS), N 2 adsorption/desorption isotherms, chemical analysis, thermogravimetric analysis (TGA), infrared spectroscopy (IR) and scanning electron microscopy (SEM). The results reveal that it is possible to direct the synthesis to the different zeolite structure with simple thermal treatment of the raw material, obtaining crystalline Linde Type A (LTA) or sodalite (SOD) zeolites using thermally treated or natural kaolin, respectively. Under the optimized synthesis conditions, the LTA zeolite was obtained after rapid crystallization in 6 h and without commercial aluminum supplementation. The Zn-exchanged LTA zeolites containing 4 and 7 wt% of Zn were applied as antibacterial materials. They presented growth inhibition zones between 7 and 8 mm for Gram-positive bacteria (Listeria monocytogenes and Staphylococcus aureus) and Gram-negative bacteria (Escherichia coli and Salmonella enterica) while pure kaolin and LTA zeolite without Zn did not show antibacterial activity. These results offer new opportunities on the way that kaolin-mining industries manage their wastes. [Display omitted] • Pure kaolin led to obtaining pure-phase SOD-type zeolite. • Thermally treated kaolin led to obtaining pure-phase LTA-type zeolite. • The zinc-LTA exhibited activity against gram-positive bacteria (L monocytogenes and S. aureus). • The zinc-LTA exhibited activity against gram-negative bacteria (E.coli and S. choleraesuis). • The zinc-LTA exhibited growth inhibition zones between 7 and 8 mm for all studied bacteria. Abstract: [ABSTRACT FROM AUTHOR]

• Air pollution in the Brazilian Amazon leads to increases in hospitalization rates. • Adverse effects are concentrated in respiratory conditions. • Effects are higher among children and the elderly. • Effects increase non-linearly with air pollution levels. • There are negative externalities related to deforestation in the Brazilian Amazon. In this paper we assess the effects of fire-related air pollution on population health in the Brazilian Amazon. Our empirical strategy is based on a municipality-by-month fixed effects model, coupled with an instrumental variables approach that explores wind direction and air pollution in surrounding areas in order to exogenously shift exposure to air pollution at the locality. We find that exposure to air pollution, measured by PM2.5 concentration levels, is robustly associated with an increase in hospital admissions for respiratory conditions. The effects are higher among children and the elderly, and increase non-linearly with pollution levels. Our benchmark estimates indicate that an increase of one standard deviation in PM2.5 is related to an increase of 1.5% of the monthly hospitalization rate for respiratory conditions. The latter estimate reaches 14% if monthly average PM2.5 crosses thresholds as high as 75 μ g/m3. We do not observe significant effects on hospitalization rates related to other health conditions nor on mortality rates. [ABSTRACT FROM AUTHOR]

In this paper we analyze transformations within a land reform settlement in the Brazilian Amazon, with special land-use regulations targeting forest conservation. We conducted long-term action research in the Virola-Jatobá Sustainable Development Project (PDS), where peasant farmers who were the early settlers of the area, and more recent occupants allied to illegal loggers, land grabbers and speculators adopt antagonistic positions and challenge respective entitlements towards land and forest. In this research we highlight issues of power asymmetry and social injustice when assessing how social relations and environmental conditions in the study area are affected by land use and forest conservation policies since year 2000, when the scheme was established. The PDS situation approached a collapse in late 2017 when the integrity of its forests and the beliefs and practices of vulnerable local residents were damaged. This case study empirically demonstrates that Amazon forest frontier systems have a limited capacity to endure extreme perturbations in the social and ecological interconnected domains. We argue that when a threshold is reached in systems featuring heavily institutionalized social asymmetries that constrain the action of vulnerable resource users, few conditions remain to reorganize the constituent setup through adaptive changes in the same regime or state. Reaching this stage will likely result in drastic changes that will lock the system into a pathway that compromises human wellbeing and the provision of ecosystem services. The fundamental nature of a tenurial scheme that combines social justice and environmental conservation tends thus to be lost for good, to enter a new regime with fewer options and novelties in social-ecological advances, reflecting the overall setbacks currently experienced in Brazilian policy. • Failed delivery and enforcement of land and forest policy in Amazon forest frontier. • Land tenure modality in a liminal status between environmental and agrarian reform regulations. • Social support for conservation affected by political and economic factors mediated by governmental agencies. • A new regime takes place with lower complexity in both social and ecological terms. • Outcomes reflect overall setback in Brazil's current social and environmental policy. [ABSTRACT FROM AUTHOR]

The exploitation of non-timber forest products has been encouraged in order to reconcile economic uses, biodiversity conservation and the provision of ecosystem services. In this paper we investigate how increments on the açaí palm density (Euterpe oleracea) via forest management change tree assemblages across 47 plots in the Amazon estuarine forest (Brazil). Assemblage attributes were confronted to açai clump density, soil fertility, canopy openness and elevation. Both tree species density and richness were negatively affected by acai, but species richness was also affected by tree abundance. Species-accumulation curves also indicated higher alpha and beta diversity across low-intensity forest patches with high-intensity patches lacking half of the tree species. A small set of species dominated forest patches, but açaí density did not correlate with the abundance of valuable species. Explanatory variables, including açai density, explained a small fraction of the variation on the functional profile of tree assemblages, but functional richness was reduced by a half across forest stands exceeding 600 açaí clumps per ha. Our results suggest that açaí intensification alters the structure of woody plant assemblages in estuarine forest. Tree abundance and species richness consistently declines as açaí clump density increases, with some forest stands being dominated by açaí and almost lacking any tree species. Accordingly, landscapes dominated by high-intensity forest stands are largely impoverished in terms of understory, canopy and emergent tree species. These findings question the current legal regulations and thresholds adopted for açai management, while alert for potential disasters caused by poorly-regulated extractions of NTFPs. • Açaí intensification for enhancing fruit yield represents a complete reorganization of the estuarine forest. • Landscapes dominated by high-intensity forest stands are largely impoverished in terms of understory, canopy and emergent tree species. • Current legal regulations on açaí intensification fail to protect forest integrity and biodiversity. • Açaí represents a key economic opportunity for locals but a real threat for the estuarine forest. [ABSTRACT FROM AUTHOR]

• Terra Legal had no overall impact on deforestation as of 2012. • Deforestation levels increased following Terra Legal in highly registered counties. • Spatial spillovers from Terra Legal were minimal in the short term. • Temporary crop cultivation decreased with greater registered area. • Investment loans increased in counties with more area registered by small and medium farms. This paper estimates the early impacts of Terra Legal , a large property rights reform, on deforestation and farming in the Brazilian Amazon. Twelve and a half million hectares, more than 2.5% of the Brazilian Amazon, have been registered under this program. The establishment of property rights may increase a farmer's incentive to invest in his land and expand his farm due to a lower risk of expropriation. On the other hand, the enforcement of conservation requirements may be easier when farmers have legal titles to their land. We use county level data from 2007 to 2012 on farm registrations, deforestation, crop choice and bovine management to test the impact of the Terra Legal land reform. While we find no overall impact of the program on deforestation during the period in our sample, we do show that there is substantial heterogeneity in impacts across counties. Counties with the largest area registered do have an increase in the level of area deforested, but they also have a decrease in the rate of deforestation. We investigate the extent to which changes in deforestation are related to the amount of registration that occurs among small, medium and large farms, and find limited support for less deforestation among counties with more area registered by small farms; more area registered by large farms is associated with a higher level of deforestation, but a decreased deforestation rate. Our results suggest that land tenure reform can create incentives to decelerate deforestation. Farm size has a strong impact on the farm management changes generated by improved property rights; coupling land tenure reforms with incentives to intensify production rather than expand could lead to reduced deforestation, particularly among small farms. [ABSTRACT FROM AUTHOR]

The Brazilian Amazon contains the most active rainforest frontier in the world, and its socioeconomic, demographic and spatial dynamism has been a topic of interest for academics and policy makers for decades. In this paper, we use spatial statistical modeling to examine the context of migration in the Brazilian Amazon by investigating its socioeconomic, demographic, spatial and environmental heterogeneities at the municipal level between 2000 and 2010. First, we visualized the spatial distribution of net-migration, in-migration and out-migration rates among municipalities in the Brazilian Amazon. Then, we explored the presence of spatial autocorrelation using Global Moran ' s I Index, and use spatial modeling techniques to investigate the associations between response variables (in-migration and out-migration) and selected explanatory variables. We identified several in-migration frontiers in the region, especially in Center Mato Grosso and Southeast Pará, while out-migration seems more diffuse in the Amazonia territory. Global Moran ' s I scores indicate that most of the selected variables exhibit spatial dependence, and the spatial regression models present better estimates of the coefficients by incorporating the spatially lagged autoregressive parameter. Our results also confirm the spatial heterogeneity and multidimensional character of in-migration and out-migration in the Brazilian Amazon. Economic growth, regional inequality and the environmental dynamism of the rainforest frontier appear to be closely associated with the intensity of migration flows in the region. We also find that less-populated municipalities have a central role in regional migration dynamics, forming relevant in-migration frontiers and ensuring territorial robustness for migration in the region. • There are several in-migration frontiers in the Brazilian Amazon. • Out-migration seems more diffuse in the Amazonia territory. • There is significant spatial patterning in in-migration and out-migration rates. • Socioeconomic and environmental variables are closely associated with migration. [ABSTRACT FROM AUTHOR]