Land governance as a precondition for decreasing deforestation in the Brazilian Amazon

This paper’s aim is to show that improvements in land governance in Brazil, and particularly in the Amazon region, have been the main pre-condition enabling reductions in deforestation of the Amazon rainforest. Deforestation occurs primarily where property rights are not clearly established, and occurs mostly on land directly or indirectly under state responsibility. This paper also shows that land speculation plays an important role in deforestation. Based on these findings, it is evident that Brazil must improve its land governance in order to decrease rates of deforestation. The Brazilian government has adopted important new efforts to improve land administration, including improvements in the registration process and the Terra Legal program, which are addressing public land problems across large areas of the Amazon. The concluding section highlights how efforts to reduce deforestation will only be possible through more efficient land governance, especially in the Amazon region, and discusses the important role that participatory land governance may play in improving land use and land ownership through application of land taxes.     

Land occupations and deforestation in the Brazilian Amazon

Researchers are increasingly interested in understanding the impact of contentious social processes on land change. In the Brazilian Amazon, there are often contentious interactions between landholders defending private property rights and squatters who have the right to occupy land that is deemed unproductive. Previous studies suggest that the contentious social processes inherent in the Brazilian land tenure and land reform system cause a significant amount of deforestation. An environment of insecure land title, and policies that value deforested land over forested land, among other factors, encourage both landholders and squatters to deforest more land than is necessary for pasture or crop production. This paper examines the impact that land occupations have on deforestation at the municipal scale across the Brazilian Legal Amazon, from 2000 to 2009. We show that land occupations have a direct influence on deforestation. We use spatial analysis as well to show that land occupations have a spatial component in the effect on deforestation: occupations in one municipality affect deforestation in adjacent areas.     

The new economic geography of land use change: Supply chain configurations and land use in the Brazilian Amazon

In this paper we present a framework for understanding regional land use processes by incorporating the concept of agglomeration economies into agricultural frontier theory. We show that agricultural firms can obtain positive externalities from locating in close proximity to other agricultural firms, leading to agglomeration economies. Agglomeration economies lead to high levels of competition and diversity within a local agricultural supply chain and influence local prices, information flows, and private enforcement of environmental institutions. We use the theory of agglomeration economies to understand the development of soybean production in two counties along the Santarém-Cuiaba (BR-163) highway in the Brazilian Amazon: Santarém, Pará and Sorriso, Mato Grosso. We conclude that differences in environmental and land tenure institutions influenced the occurrence of agglomeration economies in these two counties, which in turn affected the total factor productivity of soy in each region. In particular, the supply chain became extremely competitive and diverse in Sorriso where few environmental regulations existed, while environmental restrictions reduced the diversification of the supply chain in Santarém. The presence of a soy agglomeration economy in Sorriso spurred innovation, increased productivity, and led to extremely rapid soy expansion in that county, while the monopolistic supply chain in Santarém reduced producers’ access to land and capital and impeded soy expansion.     

Climate change adaptation in agriculture: A computable general equilibrium analysis of land-use change in Nepal

This paper investigates the feasibility of changes in cropland-use as an adaptation strategy to minimise the economy-wide costs of climate change on agriculture. Nepal makes an interesting case study as it is one of the most vulnerable agricultural economies within South Asia. We develop a comparative static multi-household computable general equilibrium (CGE) model for Nepal, with a nested set of constant elasticity of transformation (CET) functional forms, to model the allocation of land within different agricultural sectors. Land transformation elasticities in these CET functions are allowed to reflect the ease of switching from one crop to another based on their agronomic characteristics. The results suggest that, in the long run, farmers in Nepal tend to allocate land to crops that are comparatively less impacted by climate change, such as paddy, thereby minimising the economy-wide impacts of climate change. Furthermore, the results reveal that land-use change tends to reduce the income disparity between different household groups by significantly moderating the income losses of marginal farmers. Therefore, it is suggested that policy makers in Nepal should prioritise schemes such as providing climate-smart paddy varieties (i.e., those that are resistant to heat, drought and floods) to farmers, subsidising fertilizers, improving agronomic practices, and educating farmers to switch from crops that are highly impacted by climate change to those that are not, such as paddy.     

Agricultural land-use change during economic reforms in Ghana

Land-use change is driven by many interrelated factors including national policies formulated in response to the forces of globalization. This study integrates remote sensing data with social surveys to identify the role of demographic, technology and market-related variables in cropland expansion during economic reforms in Ghana. Macroeconomic changes increased the commercial orientation of farming as the sources of food supply changed from import to domestic production. However interest rates liberalization increased the use of labor at the expense of fertilizer and other complementary inputs. Demographic variables were more important in explaining cropland change after structural adjustment. Public agricultural support services are required for sustainable market-induced agricultural change in Ghana.     

Quantifying land-use change impacts on the dynamic evolution of flood vulnerability

Recently, dramatic flood disasters have occurred incrementally in several regions of the world. Land-use change as one of the main affecting factors becomes a key component in flood risk management. This study strives to deal with quantifying how changes in land use to affect the dynamic evolution of flood vulnerability. The floodplains of Wuhan, which are located in the Yangtze River Basin, have been selected as an example. In this paper, we use GIS to gather different historical geometric data as sources of land-use information. By proposing the Simpsons-dominance index and location index to analyze the characteristics of land-use changes, and building a quantitative model to measure flood vulnerability, a series of flood vulnerability maps demonstrate differential flood vulnerability of floodplains of Wuhan in three inundation scenarios and four historical periods. Finally, the non-parametric correlation is used to reveal the interactive effect of land use and flood vulnerability. Based on this study, comprehensive flood disaster management strategies for land-use planning are proposed for government decision-makers to reduce the flood vulnerability of Wuhan in future.     

Crossing spatial analyses and livestock economics to understand deforestation processes in the Brazilian Amazon: the case of São Félix do Xingú in South Pará

The Amazon is the largest tropical forest area on Earth, and has been undergoing rapid deforestation for the last four decades. In the Brazilian Amazon, large‐scale pasture for cattle ranching and soybean production are the main land uses, leading to a yearly deforestation rate of 0.5%. These conversions are mostly located in frontier areas distributed along the so‐called “arc of deforestation”. Within this large zone, various land use change processes are interacting through several modes of land valuation and organisation. From several case studies in the State of Pará (Brazil), the current project aims at analysing how landscape dynamics are related to infrastructure development, ecological conditions, zoning policies and to the evolution and the organisation of the production, consumption and marketing chains of livestock products. This paper presents the results for one test site, the region of São Félix do Xingú, South of Pará This region is the focus of land speculation, cattle expansion, and deforestation. Road construction, investments in electrical energy, financial credit for cattle, and the land reform policies have all fuelled this process. All these factors make this region one of the most dynamic agricultural frontiers in the Brazilian Amazon. The main objective of the paper is to improve our understanding of deforestation processes by crossing spatial analyses and 1ivestock economics.studies, and to characterise the role and impact of various natural and anthropic factors in the location and development of the main types of farmers, and their policy implications.     

Solving Brazil's land use puzzle: Increasing production and slowing Amazon deforestation

Brazil has become an agricultural powerhouse, producing roughly 30 % of the world’s soy and 15 % of its beef by 2013 – yet historically much of that growth has come at the expense of its native ecosystems. Since 1985, pastures and croplands have replaced nearly 65 Mha of forests and savannas in the legal Amazon. A growing body of work suggests that this paradigm of horizontal expansion of agriculture over ecosystems is outdated and brings negative social and environmental outcomes. Here we propose four strategies that can reduce deforestation, while increasing production and social wellbeing. First, eliminate land grabbing and land speculation through designation of public forests. This would clarify land tenure and limit the pool of land available for uncontrolled expansion of agriculture and ranching. Second, reduce deforestation on private properties by implementing existing mechanisms in Brazil’s Forest Code to facilitate payments for environmental services, with support from market initiatives for sustainable sourcing of agricultural products. Third, incentivize increased productivity on medium and large properties through targeted investments. By stimulating adoption of proven technologies for sustainable intensification, this would help meet Brazil’s production targets and growing international demand for agricultural products, without expanding into new production areas. Finally, foster economic, environmental and social improvements through technical assistance to small farmers. Small farmers occupy a large swath of the Amazon and often lack access to technical assistance, production technology, and markets. Providing quality technical assistance to small farmers could help them better align production practices with local opportunities; increase household income and improve livelihoods; and reduce deforestation pressure. By implementing these four strategies in a coordinated effort between public and private agents, Brazil can show the world how to reduce deforestation while increasing agricultural output, reestablishing its leadership in managing natural resources and mitigating climate change.     

Mapping properties to monitor forests: Landholder response to a large environmental registration program in the Brazilian Amazon

Across the tropics, development banks and conservation donors are investing millions in property mapping and registration projects to improve accountability for deforestation. An evaluation of the effectiveness and accuracy of existing environmental registries is crucial to assure the success of future efforts. This study presents an evaluation of deforestation and registration behavior in response to one of the largest of these property registration programs to date — the Rural Environmental Registry (CAR) in the Amazonian state of Pará. From late 2007 to 2013, approximately 100,000 properties covering 30 million hectares of self-declared claims were entered in this digital registry. We used fixed effects regression models and property level data to assess how registration influenced deforestation on different sizes of properties. Registration had little impact on deforestation behavior, with the exception of a significant reduction on “smallholder” properties in the size range of 100–300 ha. We link this reduction to interacting incentives from forest protection and land regularization policies and suggest that desire to strengthen land claims motivates these landholders’ response to the environmental registry. We also present evidence that some landholders may be registering incomplete or inaccurate parcels into the self-declared system to strategically benefit from policy incentives. Our results for smallholder properties indicate that environmental registries may have potential to facilitate reductions in deforestation if combined with a favorable combination of incentives. However, in places where land tenure is still being negotiated, the utility of environmental registries for forest policy enforcement and research may be limited without ongoing investment to resolve uncertainty around land claims.     

Regional interdependence and forest “transitions”: Substitute deforestation limits the relevance of local reversals

Using case studies and concepts we suggest that constraints upon aggregate or global forest transition are significantly more severe than those upon local forest reversals. The basic reason is that one region's reversal can be facilitated by other regions that supply resources and goods, reducing the demands upon the region where forests rise. Many past forest reversals involve such interdependence. For ‘facilitating regions’ also to rise in forest requires other changes, since they will not be receiving such help. We start by discussing forest-transitions analysis within the context of Environmental Kuznets Curves (EKCs), for a useful typology of possible shifts underlying transitions. We then consider the historical Northeast US where a regional reversal was dramatic and impressive. Yet this depended upon agricultural price shocks, due to the Midwest US supplying food, and also upon the availability of timber from other US regions. Next we consider deforestation in Amazônia, whose history (like the Northeast US) suggests a potential local role for urbanization, i.e. spatial concentration of population. Yet inter-regional issues again are crucial. For cattle and soy, expansion of global demands may give to Amazonia a role more like the Midwest than the Northeast US. In addition, across-region interdependencies will help determine where reversal and facilitation occur. Finally we discuss the constraints upon very broad forest transition.     

Property-level assessment of change in forest clearing patterns: The need for tailoring policy in the Amazon

Once driven by large-scale clearings, Amazon deforestation now occurs mostly in small increments. Did this result from the emergence of a new group of agents or from a strategic adaptation in the behavior of those who led deforestation in the past? We address this question using georeferenced data on private rural properties and deforestation. We cross property-level and forest clearing data in an empirical setting designed to detect shifts toward clearing patches that were knowingly invisible to the monitoring system. We are therefore able to assess not only whether deforesters were responding strategically to stricter monitoring of deforestation, but also how this response differed across actor types. Results suggest that centralized policy efforts introduced starting in the mid-2000s inhibited medium- and large-scale deforestation, but had heterogeneous effects on small-scale deforestation. Although the relative participation of small deforestation polygons increased in both sample states, the relative participation of smallholders in total state deforestation increased in Pará, while remaining constant in Mato Grosso. We interpret these results as suggestive — albeit not causal — evidence that landholders strategically responded to the monitoring system by adapting their forest clearings practices to elude monitoring in both Mato Grosso and Pará. In the latter, however, the increase in smallholders’ share of annual deforestation suggests that their clearing practices were relatively less affected by what effectively contained deforestation in large properties. The apparent similarity in scale of deforestation across states conceals relevant baseline differences between the agents engaging in forest clearing in each locality. Tailoring policy to account for such differences could strengthen Brazilian conservation policy.     

The opportunity cost of preserving the Brazilian Amazon forest

We estimate the trade‐off between forest preservation and agricultural production for the Legal Amazon region, using census and deforestation data for municipalities in 2006. We use a directional distance function to represent the production possibility frontier, and then calculate the shadow price of reducing deforestation in terms of agricultural income foregone. Results indicate that, on average, to preserve 1 ha of forest, $797 in annual agricultural GDP must be foregone. Using a discount rate of 10% and average forest carbon density of 132 tons per hectare, these results imply an average shadow price of $16 per ton of CO₂ permanently sequestered.     

Land change in the Brazilian Savanna (Cerrado), 1986–2002: Comparative analysis and implications for land-use policy

The Brazilian Cerrado, a biodiverse savanna ecoregion covering 1.8 million km² south and east of the Amazon rainforest, is in rapid decline because of the expansion of modern agriculture. Previous studies of Cerrado land-use and land-cover (LULC) change imply spatial homogeneity, report widely varying rates of land conversion, use ambiguous LULC categories, and generally do not attempt to validate results. This study addresses this gap in the literature by analyzing moderate-resolution, multi-spectral satellite remote sensing data from 1986 to 2002 in two regions with identical underlying drivers. Unsupervised classification by the ISODATA algorithm indicates that Cerrado was converted to agro-pastoral land covers in 31% (3646 km²) of the study region in western Bahia and 24% (3011 km²) of the eastern Mato Grosso study region, while nearly 40% (4688 km² and 5217 km², respectively) of each study region remained unchanged. Although aggregate land change is similar, large and contiguous fragments persist in western Bahia, while smaller fragments remain in eastern Mato Grosso. These findings are considered in the current context of Cerrado land-use policy, which is dominated by the conservation set-aside and command-control policy models. The spatial characteristics of Cerrado remnants create considerable obstacles to implement the models; an alternative approach, informed by countryside biogeography, may encourage collaboration between state officials and farmer-landowners toward conservation land-use policies.     

Addressing climate change cause and effect on land cover and land use in South Asia

This paper evaluates the role of trade liberalization and agricultural intensification in mitigating climate change cause and effects on land use and emissions using a computable general equilibrium model. Our results indicate that cropland expansion triggered by climate-induced crop productivity changes results in deforestation and increases emissions in South Asia and globally. Global full trade liberalization on all goods is the optimum policy for South Asia despite significant global deforestation, but for the world, unilateral partial trade liberalization on all goods is a more appropriate policy while ensuring a considerable emissions reduction for South Asia. These results indicate that mitigation responses to climate change are location specific and no one trade policy is suitable at the regional and global levels. Lastly, agricultural intensification by improving productivity growth is the best strategy in land-based emissions mitigation, thereby avoiding the transformation of forest and pasture lands for agricultural cultivation both at regional and global levels.     

Economic impacts of climate change on the Australian dairy sector

We analyse the economic implications of climate‐driven pressures on the pasture‐based dairy sector in Australia. We use an integrated assessment model that includes a climate scenario generator, a climate‐biophysical response framework and an economywide analytical framework. For the climate scenario generator, we use data from the OzClim database of the Commonwealth Scientific and Industrial Research Organisation. For the climate‐biophysical response framework, we use the DairyMod model with inputs of changes in climate variables from OzClim to quantify climate change effects on pasture growth and productivity. For the economywide analytical framework, we use the National Integrated Assessment Model to quantify the economic implications of these effects on the dairy sector. The simulated pattern of regional changes in dairy output is not a simple function of the changes in dairy productivity. Our results show that the relative size of productivity changes across regions affects the relative competitive advantage of dairy‐producing regions. Several factors affect the regional distribution of simulated dairy‐output changes, including substitution among sources of dairy output and competition for inputs like supplementary feed. An increased output in regions with moderate reductions in dairy productivity may occur because the severely climate‐affected regions absorb the greatest loss in output.     

Social metabolism,landscape change and land-use planning in the Barcelona Metropolitan Region

The present work explores the synergies between socio-metabolic energy use and landscape patterns, starting from the hypothesis that there is a complex and changing relationship between the efficiency in both the societal use of energy, and land-use, and the ecosystem functioning of the whole land matrix of the Barcelona Metropolitan Region (BMR). It first compares changes in the social metabolism (i.e. the total energy or material throughput of the economy) and in landscape structure and function from 1850 to the present in three municipalities of the Vallès county (N of the BMR), as a first attempt to establish a link between the societal uses of land and energy together with their impact on landscape patterns. Secondly, the study explores the role of natural versus rural landscapes on the maintaining of basic functional properties such as connectivity in the whole BMR. We base our analyses on parametric methodologies that describe both structural and functional properties of landscapes, aimed at assessing the landscape efficiency of both energy-use and land-use planning. The first comparison reveals that the simultaneous loss of energy efficiency and land-use efficiency from the mid-19th century to present can be tracked by changes in the functional landscape structure. The second study shows the importance of the traditional rural landscapes in maintaining the ecological quality of non-built-up land. In consequence, the organized complexity of the land system necessary to host biodiversity and basic ecological processes cannot be guaranteed if the agro-forestry mosaic is not taken into account, together with the network of protected areas.     

Brazilian policy and agribusiness damage the Amazon rainforest

Since his inauguration on January 1, 2019, Jair Bolsonaro, a declared right-wing candidate nicknamed “Tropical Trump,” has introduced measures to reduce environmental restrictions on livestock farming, the main greenhouse gas (GHG) producing sector in Brazil that is responsible for most of the deforestation in the country. This dangerous relationship between politics and livestock farming in Brazil is detrimental to environmental conservation. Politicians are introducing measures that facilitate the expansion of this type of farming, which in turn provides inputs for the food industry, i.e. agribusiness, which in turn finances politics, thus producing a dangerous cycle in forest conservation.     

The future of food demand: understanding differences in global economic models

Understanding the capacity of agricultural systems to feed the world population under climate change requires projecting future food demand. This article reviews demand modeling approaches from 10 global economic models participating in the Agricultural Model Intercomparison and Improvement Project (AgMIP). We compare food demand projections in 2050 for various regions and agricultural products under harmonized scenarios of socioeconomic development, climate change, and bioenergy expansion. In the reference scenario (SSP2), food demand increases by 59–98% between 2005 and 2050, slightly higher than the most recent FAO projection of 54% from 2005/2007. The range of results is large, in particular for animal calories (between 61% and 144%), caused by differences in demand systems specifications, and in income and price elasticities. The results are more sensitive to socioeconomic assumptions than to climate change or bioenergy scenarios. When considering a world with higher population and lower economic growth (SSP3), consumption per capita drops on average by 9% for crops and 18% for livestock. The maximum effect of climate change on calorie availability is ?6% at the global level, and the effect of biofuel production on calorie availability is even smaller.     

A causal analysis framework for land-use change and the potential role of bioenergy policy

We propose a causal analysis framework to increase understanding of land-use change (LUC) and the reliability of LUC models. This health-sciences-inspired framework can be applied to determine probable causes of LUC in the context of bioenergy. Calculations of net greenhouse gas (GHG) emissions for LUC associated with biofuel production are critical in determining whether a fuel qualifies as a biofuel or advanced biofuel category under regional (EU), national (US, UK), and state (California) regulations. Biofuel policymakers and scientists continue to discuss to what extent presumed indirect land-use change (ILUC) estimates should be included in GHG accounting for biofuel pathways. Current estimates of ILUC for bioenergy rely largely on economic simulation models that focus on causal pathways involving global commodity trade and use coarse land-cover data with simple land classification systems. This paper challenges the application of such models to estimate global areas of LUC in the absence of causal analysis. The proposed causal analysis framework begins with a definition of the change that has occurred and proceeds to a strength-of-evidence approach that includes plausibility of relationship, completeness of causal pathway, spatial co-occurrence, time order, analogous agents, simulation model results, and quantitative agent–response relationships. We discuss how LUC may be allocated among probable causes for policy purposes and how the application of the framework has the potential to increase the validity of LUC models and resolve controversies about ILUC, such as deforestation, and biofuels.     

Economic impacts of closing national forests for commercial timber production in Florida and Liberty County

The paper assesses the impacts of a proposed policy, which suggests a ban on commercial timber harvest in the US national forests. Specifically, this study examines the effect of this policy on a small forest dependent county (Liberty County) in Florida and Florida State by applying a computable general equilibrium (CGE) model. The results indicate that the proposed policy would decrease overall economic output by $5 million in Liberty County. The decrease in economic output at the state level in response to this policy is only $1 million. Results suggest that the welfare index in response to the proposed policy will drop by 2.9% in Liberty County while the change at the state level is negligible. At the county level, where limited alternate opportunities for labor and capital mobility, the negative effect of the proposed policy is shown to have a multiplying effect.