Analyzing crop change scenario with the SmartScape™ spatial decision support system

Agricultural land use is increasingly changing due to different anthropogenic activities. A combination of economic, socio-political, and cultural factors exerts a direct impact on agricultural changes. This study aims to illustrate how stakeholders and policymakers can take advantage of a web-based spatial decision support system (SDSS), namely SmartScape™ to either test existing crop change policies or produce effective crop change decisions using tradeoff analysis. We addressed the consequences of two common crop change scenarios for Dane county in Wisconsin, United States, (a) replacing perennial energy crops with annual energy crops and (b) replacing annual energy crops with perennial energy crops. The results suggested that converting areas under grass and alfalfa production that were located on high quality soil and flat slope to corn promoted a net-income and availability of gross biofuel. Additionally, the model outcome proposed that converting areas under corn and soy production that were located on high slope to grass promoted net-energy, phosphorus loading, soil loss, soil carbon sequestration, nitrous oxide emission, grassland bird habitat, pollinator abundance, and biocontrol. Therefore, SmartScape™ can assist strategic crop change policy by comparing the tradeoff among ecosystem services to ensure that crop change policies have outcomes that are agreeable to a diversity of policymakers.     

Geographically explicit global modeling of land-use change, carbon sequestration, and biomass supply

This study aims to determine whether carbon sequestration policies could present a significant contribution to the global portfolio of climate change mitigation options. The objective is to model the effects of policies designed to induce landowners to change land use and management patterns with a view to sequester carbon or to reduce deforestation. The approach uses the spatially explicit Dynamic Integrated Model of Forestry and Alternative Land Use (DIMA) to quantify the economic potential of global forests. The model chooses which of the land-use processes (afforestation, reforestation, deforestation, or conservation and management options) would be applied in a specific location, based on land prices, cost of forest production and harvesting, site productivity, population density, and estimates of economic growth. The approach is relevant in that it (1) couples a revised and updated version of the Special Report on Emissions Scenarios with the dynamic development of climate policy implications through integration with the Model for Energy Supply Strategy Alternatives and their General Environmental Impact (MESSAGE); (2) is spatially explicit on a 0.5° grid; and (3) is constrained by guaranteeing food security and land for urban development. As outputs, DIMA produces 100-year forecasts of land-use change, carbon sequestration, impacts of carbon incentives (e.g., avoided deforestation), biomass for bioenergy, and climate policy impacts. The modeling results indicate that carbon sequestration policies could contribute to a significant part of the global portfolio of efficient climate mitigation policies, dependent upon carbon prices.     

Changing decisions in a changing landscape: How might forest owners in an urbanizing region respond to emerging bioenergy markets?

The global bioenergy market has considerable impacts on local land use patterns, including landscapes in the Southeastern United States where increased demand for bioenergy feedstocks in the form of woody biomass is likely to affect the management and availability of forest resources. Despite extensive research investigating the productivity and impacts of different bioenergy feedstocks, relatively few studies have assessed the preferences of private landowners, who control the majority of forests in the eastern U.S., to harvest biomass for the bioenergy market. To better understand contingent behaviors given emerging biomass markets, we administered a stated preference experiment to private forest owners in the rapidly urbanizing Charlotte Metropolitan region. Respondents indicated their preferences for harvesting woody biomass under a set of hypothetical market-based scenarios with varying forest management plans and levels of economic return. Our analytical framework also incorporated data from a previously-administered revealed preference survey and spatially-explicit remote sensing data, enabling us to analyze how individuals’ ownership characteristics, their emotional connection the forests they manage, and the spatial patterns of nearby land uses, influence willingness to grow bioenergy feedstocks. We found conditional support for feedstock production, even among woodland owners with no history of active management. Landowners preferred higher economic returns for each management plan. However low-intensity harvest options were always preferred to more intensive management alternatives regardless of economic return, suggesting that these landowners may be more strongly motivated by aesthetic or quality-of-life concerns than feedstock revenues. Our analysis indicated preferences were dependent upon individual and environmental characteristics, with younger, more rural landowners significantly more interested in growing feedstocks relative to their older and more urban counterparts. While this study focuses on one small sample of urban forest owners, our results do suggest that policy makers and resource managers can better inform stand-level decision-making by understanding how feedstock production preferences vary across populations.     

A cobweb model of land-use competition between food and bioenergy crops

We present a model of interacting cobweb markets and apply it to land-use competition between food and bioenergy crops. In our model the markets are interlinked on the supply side by the limited availability of land. Therefore, instabilities are transferred between the markets and we find that bioenergy demand affects food price volatility. The agents in the model have heterogeneous production capacities, representing variation in global land quality. When we allow agents to choose price predictor, we find that a more sophisticated (but costly) predictor is concentrated to some key parcels of land, which enables the system to reduce instability significantly. The system can also be brought closer to a stable state by introducing costs for changing production type, but it may then be shifted away from the optimum situation predicted by the corresponding equilibrium model.     

Food,energy and environment: Is bioenergy the missing link?

We study price linkages between the food, energy and bioenergy markets. A vertically integrated multi-input, multi-output market model allows us to derive testable hypothesis, which we test by applying time-series analytical mechanisms to nine major traded food commodity prices along with one weighted average world crude oil price. The data consists of 939 weekly observations from January 1993 to December 2010. The empirical findings confirm the theoretical hypothesis that the prices for crude oil and food commodities are interdependent: a USD 1/barrel increase in oil prices and food commodity prices increase by between USD 0.09/tonne and USD 1.65/tonne.     

An engineering economics approach to the estimation of forest fuel supply in North-Trøndelag county, Norway

The article reports a study performed in North-Trøndelag county in Norway, aiming at identifying the economic supply curve for forest fuels. Using an engineering economics approach, the potential forest fuel production is described as a function of the existing traditional forestry. Based on a set of energy raw materials including (i) harvesting residues, (ii) low-quality trees, (iii) thinnings and (iv) hardwoods, necessary adjustments of the existing forestry technology are described and used as a basis for the calculations. Depending on fuel market prices, a total annual amount of forest fuels close to 0.5 TWh is available in the county.     

On the economics of forests and climate change: Deriving optimal policies

First-best optimal forest sector carbon policy is examined. Using a forest and energy sector model with a carbon cycle module we show that the renewability and carbon neutrality arguments do not warrant emission free status of wood use. As a general optimality principle, the release of carbon is penalized by a tax and carbon capture is subsidized. However, under the biomass stock change carbon accounting convention, the land owners pay for the roundwood emissions and, to avoid double counting, the use of roundwood is treated as emission free. Yet, the carbon accounting convention followed does not affect the equilibrium outcome. The bioenergy from harvest residues is not emission free either. Furthermore, we show that an optimal policy subsidizes the production of wood products for their carbon sequestration. Correspondingly, carbon removals by biomass growth are subsidized and the harvest residue generation taxed. Numerical solution of the model shows that, although the use of wood is not emission free, it is optimal to increase the use of wood, possibly also in the energy sector. Before the wood use can be increased, the forest biomass will be increased. This carbon sink decreases the net emissions until the forest resources reach a new equilibrium.     

Industry- and company-level factors influencing the development of the forest energy business — insights from a Delphi Study

The global business environment of today requires industries to be increasingly agile in order to create added value. There is a particularly urgent need to innovate and redefine business models in the mature pulp and paper industry, which is continually announcing mill closures and reporting persistent profitability problems. This paper focuses on the emerging forest energy business, which appears to offer many novel opportunities for both the forest and the energy industry. We conducted a qualitative dissensus-based online Delphi study and carried out themed expert interviews in order to identify the main industry- and company-level factors that are most likely to influence the bioenergy sector, its value-creation potential and forest and energy companies' future roles in it. The Delphi technique proved to be a valuable research tool with which we were able to obtain comprehensive information on a subject that lacks historical and financial data, and yet requires input from many quarters. The results suggest that the complementary resources held by forest and energy companies make collaboration in the bioenergy business favorable. Moreover, the procurement and logistics of forest raw material appear to be key success factors in terms of yielding the most synergetic gains. Uncertainty about policy interventions nevertheless causes concern given their relatively rapid effect on the prospects of the bioenergy business.     

Challenging the food vs. fuel dilemma: Genealogical analysis of the biofuel discourse pursued by international organizations

This paper looks critically at how food and agriculture-, energy security-, and climate change-oriented international organizations have consolidated and modified the biofuel discourse in relation to the agricultural system. Using Foucault-based genealogical analysis of discursive formations, the paper traces the last 20 years of institutions’ biofuel debate in relation to rural production. We find that the prevalent motive is an aspiration to combine the agriculture and energy markets into one, which prompts structural changes and challenges in the rural sector. This has implications for the future role and shape of global agriculture and – contrary to the food vs. fuel perspective – calls for re-conceptualizing the biofuel debate as the food vs. food dilemma.