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As progress is made in understanding the dynamics of land-use and land-cover change (LUCC), arguments that view population pressure as one of the major factors affecting forest destruction continue to be framed. Following the advances in the field of population-environment studies, this paper contends that a full account of the complex web of drivers involved in tropical deforestation needs to go beyond demographics per se. This paper examines the contribution of the 'population factor' as a cause of deforestation in Machadinho D'Oeste, Rondônia, Brazilian Amazonia, an area with significant small-scale farming. Conceptually, the paper shows that socioeconomic status and mediating factors (i.e., education, managerial skills, previous rural experience, integration into the local, and regional contexts), and attitudes and behaviors toward the land parcel development mediate migrants' relationships with the local environment. The analysis combines multiple data sources (i.e., demographic census, household survey, land-cover maps, in-depth interviews) and analytical approaches (i.e., fuzzy sets statistics, remote-sensing/GIS analysis, interpretivist qualitative assessment) to examine the complex interrelationships between LUCC and human population. [ABSTRACT FROM AUTHOR]

The paper 'Are Brazil deforesters avoiding detection?' recently published in Conservation Letters by Richards et al. 2016 has critical shortcomings and conclusions based on biased and not very robust analyses. Here, we provide clarifications to some of the most critical points regarding the monitoring of land use changes in the Brazilian Amazon and related greenhouse emissions. Such clarifications are relevant to the readers of Conservation Letters and to a broader audience that rely on sound and robust science for a better management of environmental issues. [ABSTRACT FROM AUTHOR]

This paper discusses the implications of poor or non-existent information on soil quality, at the proper scale, during the planning and implementation of settlement projects in the Brazilian Amazon. Based on data from the Machadinho settlement project, Rondônia, we show that most settlers had no knowledge about the agricultural capability of the area, did not receive technical information, could not afford agricultural inputs, planted inadequate crops in the early years of occupation, and did not manage to stay in their plot for a long period of time. Satellite images indicated that patches of land with good soil quality were not necessarily the first to be utilized. Inadequately planned settlements face many challenges (poor soil being one of them) and are likely to result in land turnover, conversion of land into pasture, land concentration among wealthier persons, invasion of areas by poorer people, and deforestation, defying the main purpose of agrarian reform. [ABSTRACT FROM AUTHOR]

Abstract: Land reform settlements (LRS) in the Brazilian Amazon have been suggested to hold promise for the successful implementation of incipient efforts to reducing emissions from deforestation and degradation (REDD). However, differences in forest cover, deforestation behaviour and settler welfare plus the inevitable overlap of upcoming REDD efforts with existing conservation policies, mean that scope and impact of REDD in LRS will not be uniform across settlements. Based on evidence from a case study of four LRS and a Brazilian Amazon regional analysis of opportunity costs, this paper explores the actual scope for targeting initial Brazilian REDD efforts to LRS and discusses potential welfare and equity implications based on scenario analysis. While our findings confirm considerable economic scope for compensation-based schemes for avoided degradation and deforestation, the pre-existence of legal use right limitations in combination with the distribution of forest cover among LRS means that less than half of settlements – poorer – will be able to derive economic gains. Exploring a mix between incentives and disincentives seems to offer the most promising future regarding efficiency and equity successful results. The paper concludes with the implications of the results in the international debate on the constraints ahead to implement the REDD principles. [Copyright &y& Elsevier]

Selective logging degrades tropical forests. Logging operations vary in timing, location, and intensity. Evidence of this land use is rapidly obscured by forest regeneration and ongoing deforestation. A detailed study of selective logging operations was conducted near Sinop, State of Mato Grosso, Brazil, one of the key Amazonian logging centers. An 11-yr series of annual Lansdat images (1992¿2002) was used to detect and track logged forests across the landscape. A semiautomated method was applied and compared to both visual interpretation and field data. Although visual detection provided precise delineation of some logged areas, it missed many areas. The semiautomated technique provided the best estimates of logging extent that are largely independent of potential user bias. Multitemporal analyses allowed the authors to analyze the annual variations in logging and deforestation, as well as the interaction between them. It is shown that, because of both rapid regrowth and deforestation, evidence of logging activities often disappeared within 1¿3 yr. During the 1992¿2002 interval, a total of 11 449 km2 of forest was selectively logged. Around 17% of these logged forests had been deforested by 2002. An intra-annual analysis was also conducted using four images spread over a single year. Nearly 3% of logged forests were rapidly deforested during the year in which logging occurred, indicating that even annual monitoring will underestimate logging extent. Great care will need to be taken when inferring logging rates from observations greater than a year apart because of the partial detection of previous years of logging activity. [ABSTRACT FROM AUTHOR]

This paper studies the dynamics of land-use in the Brazilian Amazon using a structural vector autoregressive (SVAR) model. A fixed effect panel data specification is used to control for the heterogeneity in the data. Meanwhile, spatial autocorrelation is also diagnosed by a statistical methodology that allows us to split the model in subsamples (clusters) of more homogenous municipalities. The clustering analysis shows that there are three clusters whose land-use patterns are strongly different in an economical point of view. The first cluster identifies municipalities dedicated to logging, natural resources exploitation and slash-and-burn cultures; the second cluster shows a more diversified agriculture; while the third cluster presents very developed intensive agriculture municipalities. Another contribution of this article relies on the assessment of contemporaneous causal relation among distinct land-uses areas. This new approach allows us to evaluate the dynamics relations arisen from unexpected innovations in the process of soil occupation. The impulse response functions (IRF) and the forecast error variance decompositions (FEVD) generate the following results: (1) in the opposition direction of previous studies, we find that the demand for cropping does not require to clear new areas of forest.; (2) contrary to previous studies we do not find indication that cattle ranching is the primary driver of deforestation; (3) the impact of a shock of pasture land on itself is virtually null at the initial stages, but increases over time, not requiring to clear extra areas of forest land but rather competing with crop land; (4) it seems that if not for all the Amazon Basin, at least in one cluster, cattle ranching and cropping could be competitive activities; and (5) we find out that in the long run pasture innovation is responsible for the major percent of the forecast error concern all land uses. It probably means that the destiny of distinct categories of land, in cluster one, is endogenously determine by activities connected to cattle. [Copyright &y& Elsevier]

According to recent reports on deforestation control, Brazil's efforts to reduce greenhouse gas emissions (GHG) are successful. This is attributed to a combination of command-and-control style of public regulation and civil society pressure. Looking beyond decreasing deforestation rates reveals a different picture for the future of GHG optimized land use in Brazil. Command-andcontrol regulation seems to work as long as prohibitive measures against deforestation are concerned. However, as soon as tailormade policies for complex issues such as land-use planning are required, the outcomes are ambiguous. Comparing the origins, the actors and the perspectives of three different cases of resource governance in Southern Amazonia, we show that the major challenges of regulation attempts are the lack of transparency and the appropriation of state agencies by powerful groups. Due to institutional weakness, the various regulation efforts fail to consider the system links needed for effective implementation. To conclude, we provide suggestions to possibly overcome the problems through innovative forms of governance. [ABSTRACT FROM AUTHOR]

One of Daniel Hogan's lasting impacts on international demography community comes through his advocacy for studying bidirectional relationships between environment and demography, particularly migration. We build on his holistic approach to mobility and examine dynamic changes in land use and migration among small farm families in Altamira, Pará, Brazil. We find that prior area in either pasture or perennials promotes out-migration of adult children, but that out-migration is not directly associated with land-use change. In contrast to early formulations of household life cycle models that argued that aging parents would decrease productive land use as children left the farm, we find no effect of out-migration of adult children on land-use change. Instead, remittances facilitate increases in area in perennials, a slower to pay off investment that requires scarce capital, but in pasture. While remittances are rare, they appear to permit sound investments in the rural milieu and thus to slow rural exodus and the potential consolidation of land into large holdings. We would do well to promote the conditions that allow them to be sent and to be used productively to keep families on the land to avoid the specter of extensive deforestation for pasture followed by land consolidation. [ABSTRACT FROM AUTHOR]

This study develops criteria for classifying the actor groups shaping frontier development along the Transamazon Highway colonization project in the Brazilian Amazon, as a basis to improve understanding of their specific contributions to environmental degradation and socio-economic development. Based on an analysis of responses to questionnaires by 93 colonists representing different migration trajectories, production systems, socio-economic strategies and deforestation patterns, actor groups could be statistically classified according to their type of production and level of capitalization. A property size threshold discriminating small and largeholders in the study area is presented and compared with previous attempts to establish such a threshold. Largeholders practicing large-scale cattle ranching and smallholders practicing diversified family agriculture were found to be the two predominant colonist types. Smallholder farming practices were found to be more appropriate to the local environmental conditions than those implemented by cattle ranchers. [ABSTRACT FROM AUTHOR]

From 2006 to 2010, deforestation in the Amazon frontier state of Mato Grosso decreased to 30% of its historical average (1996-2005) whereas agricultural production reached an all-time high. This study combines satellite data with government deforestation and production statistics to assess land-use transitions and potential market and policy drivers associated with these trends. In the forested region of the state, increased soy production from 2001 to 2005 was entirely due to cropland expansion into previously cleared pasture areas (74%) or forests (26%). From 2006 to 2010, 78% of production increases were due to expansion (22% to yield increases), with 91% on previously cleared land. Cropland expansion fell from 10 to 2% of deforestation between the two periods, with pasture expansion accounting for most remaining deforestation. Declining deforestation coincided with a collapse of commodity markets and implementation of policy measures to reduce deforestation. Soybean profitability has since increased to pre-2006 levels whereas deforestation continued to decline, suggesting that antideforestation measures may have influenced the agricultural sector. We found little evidence of direct leakage of soy expansion into cerrado in Mato Grosso during the late 2000s, although indirect land-use changes and leakage to more distant regions are possible. This study provides evidence that reduced deforestation and increased agricultural production can occur simultaneously in tropical forest frontiers, provided that land is available and policies promote the efficient use of already-cleared lands (intensification) while restricting deforestation. It remains uncertain whether government- and industry-led policies can contain deforestation if future market conditions favor another boom in agricultural expansion. [ABSTRACT FROM AUTHOR]

The article presents an exploration into the economic development of the Redenção region of Pará, Brazil since the 1960s. A detailed overview of the agrarian changes of the region over 50 years is given, highlighting the transition from large-scale cattle ranching firms to a more diverse system of medium-sized business ventures and smallholders. Examinations are offered illustrating the causes and major events within the economic transition. Further discussion is given noting the impact of the development on deforestation and environmental policy within the frontier region.

Tropical deforestation is a significant driver of global environmental change, given its impacts on the carbon cycle and biodiversity. Loss of the Amazon forest, the focus of this article, is of particular concern because of the size and the rapid rate at which the forest is being converted to agricultural use. In this article, we identify what has been the most important driver of deforestation in a specific colonization frontier in the Brazilian Amazon. To this end, we consider (1) the land-use dynamics of smallholder households, (2) the formation of pasture by large-scale ranchers, and (3) structural processes of land aggregation by ranchers. Much has been written about relations between smallholders and ranchers in the Brazilian Amazon, particularly those involving conflict over land, and this article explicates the implications of such social processes for land cover. Toward this end, we draw on panel data (1996-2002) and satellite imagery (1986-1999) to show the deforestation that is attributable to small- and largeholders, and the deforestation that is attributable to aggregations of property arising from a process that we refer to as frontier stratification. Evidently, most of the recent deforestation in the study area has resulted from the household processes of smallholders, not from conversions to pasture pursuant to the appropriations of smallholders' property by well-capitalized ranchers or speculators. [ABSTRACT FROM AUTHOR]

In the agricultural frontiers of Brazil, the distinction between forested and deforested lands traditionally used to map the state of the Amazon does not reflect the reality of the forest situation. A whole gradient exists for these forests, spanning from well conserved to severely degraded. For decision makers, there is an urgent need to better characterize the status of the forest resource at the regional scale. Until now, few studies have been carried out on the potential of multisource, freely accessible remote sensing for modelling and mapping degraded forest structural parameters such as aboveground biomass (AGB). The aim of this article is to address that gap and to evaluate the potential of optical (Landsat, MODIS) and radar (ALOS-1 PALSAR, Sentinel-1) remote sensing sources in modelling and mapping forest AGB in the old pioneer front of Paragominas municipality (Para state). We derived a wide range of vegetation and textural indices and combined them with in situ collected AGB data into a random forest regression model to predict AGB at a resolution of 20 m. The model explained 28% of the variance with a root mean square error of 97.1 Mg·ha−1 and captured all spatial variability. We identified Landsat spectral unmixing and mid-infrared indicators to be the most robust indicators with the highest explanatory power. AGB mapping reveals that 87% of forest is degraded, with illegal logging activities, impacted forest edges and other spatial distribution of AGB that are not captured with pantropical datasets. We validated this map with a field-based forest degradation typology built on canopy height and structure observations. We conclude that the modelling framework developed here combined with high-resolution vegetation status indicators can help improve the management of degraded forests at the regional scale. [ABSTRACT FROM AUTHOR]