Search

Despite its relevance, measuring the contributions of the bioeconomy to national economies remains an arduous task that faces limitations. Part of the difficulty is associated with the lack of a clear and widely accepted concept of the bioeconomy and moves on to the connections between methods, data and indicators. The present study aims to define the concepts of bioeconomy and to explore the connections between concepts, methods, data, and indicators when measuring the bioeconomy economically and the limitations involved in this process. The bioeconomy concepts were defined based on a literature review and a content analysis of 84 documents selected through snowballing procedures to find articles measuring "how big is the bioeconomy?" The content of the 84 documents was uploaded to the Quantitative Data Analysis (QDA Miner) software and coded according to the bioeconomy concept, the methods or models used, the data sources accessed, the indicators calculated, and the limitations reported by the authors. The results of the occurrence and co-occurrence of the codes were extracted and analyzed statistically, indicating the following: the measurement of the bioeconomy (i) needs to recognize and pursue the proposed concept of a holistic bioeconomy; (ii) rarely considered aspects of a holistic bioeconomy (3.5%); (iii) is primarily based on the concept of biomass-based bioeconomy (BmBB) (94%); (iv) the association with the concept of biosphere (BsBB) appeared in 26% of the studies; (v) the biotech-based bioeconomy (BtBB) was the least frequent (1.2%); (vi) there is a diversity of methods and models, but the most common are those traditionally used to measure macroeconomic activities, especially input-output models; (vii) depending on the prevailing methods, the data comes from various official statistical databases, such as national accounts and economic activity classification systems; (viii) the most frequently used indicators are value added, employment, and Greenhouse Gases (GHG) emissions; (ix) there are various limitations related to the concept, methods and models, data, indicators, and others, like incomplete, missing, or lack of data, aggregated data, outdated data or databases, uncertainty of the estimated values, the subjectivity in the bio-shares weighting procedures, and other limitations inherent to methods and models. We conclude that current efforts only partially measure the contributions of the bioeconomy, and efforts should be encouraged toward a full assessment, starting by recognizing that the measurement of a holistic bioeconomy should be pursued. [ABSTRACT FROM AUTHOR]

Almost 200 nations, including the European Union, have signed the Paris Agreement that aims to limit the temperature rise to 1.5 °C above pre-industrial levels by reducing greenhouse gas (GHG) emissions. To meet this target, a significant decrease in GHG emissions by 2030 and net zero by 2050 is necessary. To determine the role of wood products in achieving a 55% reduction in GHG emissions by 2030 compared with 1990 levels, we investigated Slovenia's potential, which has close to 60% forested areas. Therefore, the country could use wood-based products to achieve the agreed-upon climate goals. Nevertheless, uncertainties remain regarding the extent to which increased tree harvesting, local manufacturing, and the utilization of wood products can aid in substituting fossil-derived materials and reducing GHG emissions. A new model was constructed to increase the understanding of the wood products' (throughout the forest-based industrial ecosystem, incl. construction) potential contribution to reaching the stated emissions targets. Using this linear programming (LP) mathematical optimisation model and carbon footprint calculations based on life cycle assessment methods, a wood flow distribution, the financial investment needed to process these quantities, and the GHG emissions produced and/or saved were calculated. The findings stipulated that Slovenia has the potential to achieve 55 % less GHG emissions by 2030 by expanding logging to at least 3 million m3 and converting the timber to a larger amount of long service-life wooden items made (and utilised) within the country. Such products accumulate carbon for a long time and decrease the need for materials that cause higher GHG emissions. Concomitantly, a better appreciation of the substitution effects in official carbon accounting would be needed. Moreover, to materialize the potential decrease in emissions would require Slovenia's construction sector to replace fossil- and mineral-based materials with lignocellulosic products, and to increase the capacity to utilize lower-quality wood in high added value applications, which would require significant investment. This paper offers a comprehensive analysis of diverse optimisation outcomes obtained from the investigation into climate action through the use of wood products in Slovenia. [ABSTRACT FROM AUTHOR]

By importing agricultural commodities, Germany causes ecological impacts in other countries. One of these impacts is the loss of biodiversity in the producing regions. This paper presents a new method that combines agricultural trade data with land cover and biodiversity data to assess these effects within an agricultural supply chain, in a spatially explicit manner. It considers the current state of biodiversity expressed by the biodiversity intactness index (BII) of the producing region as well as changes over time. As an example, the impacts of German soy imports from Brazil were assessed for the time steps 2004, 2011 and 2018. In the first step, the soybean cultivation area used for exports to Germany was assigned to the respective municipalities by using the TRASE database. In the second step, a GIS-based analysis was conducted to determine the resulting impacts on biodiversity. In 2018, 70% of German soy imports from Brazil originated from municipalities with ecosystems that are not intact anymore (50%) or even severely disturbed (20%). Total German soy imports from Brazil in 2018 reduced the BII by 0.03 percent points compared to 1997. The main advantage of the presented method is that the biodiversity impact is quantifiable for both a commodity and the consuming country. [ABSTRACT FROM AUTHOR]

This article assesses and develops policy instruments for forest governance in the EU. Methodologically, it examines opportunities and limits for negative emissions by means of a literature review. On this basis, it conducts a qualitative governance analysis of the most important instruments of EU forest policy and presents optimizing policy options, measured against the binding climate and biodiversity targets under international law. Our analysis shows that the potential benefits of afforestation and reforestation for climate mitigation are overestimated, and are often presented as the new saviours to assist in reaching climate neutrality, inter alia, since only biodiverse and thus resilient forests can function as a carbon sink in the long term. Furthermore, we demonstrate that the existing EU law fails to comply with climate and biodiversity targets. Quantity governance systems for livestock farming, fossil fuels and similar drivers of deforestation represent a more promising approach to forest governance than the dominant regulatory and subsidy-based governance. They are most effective when not directly addressing forests due to their heterogeneity but central damaging factors such as fossil fuels and livestock farming. Selected aspects of regulatory and subsidy law can supplement these quantity governance systems when focusing on certain easily attainable and thus controllable subjects. These include, e.g., the regulatory protection of old-growth forests with almost no exceptions and a complete conversion of all agricultural and forest subsidies to "public money for public services" to promote nature conservation and afforestation. [ABSTRACT FROM AUTHOR]

Sustainability is often explained through three dimensions (society, economy and environment). However, such a definition currently appears to be restricted. Sustainable development often includes the energy issue. An example of realities founded on bioenergy are agro-energy districts. These realities involve all the three dimensions of sustainability, integrating also the energy dimension and fueling a potential circular economy. Based on these premises, the most affluent rural subdivision in Italy is that of wine. The wine sector has experienced a recent growth of its economic market, diverging from other agricultural activities and enlarging its cultivated surface areas. In this sense, the local landscape has also changed. Owing to the strong inclination of the wine sector in adopting sustainable strategies and measures, agro-energy districts can be the following future phase in viticulture realities as a cutting-edge business in the modern agricultural sector, implementing new strategies and opportunities. [ABSTRACT FROM AUTHOR]

Many countries have set ambiguous targets for the development of a bioeconomy that not only ensures sufficient production of high-quality foods but also contributes to decarbonization, green jobs and reducing import dependency through biofuels and advanced biomaterials. However, feeding a growing and increasingly affluent world population and providing additional biomass for a future bioeconomy all within planetary boundaries constitute an enormous challenge for achieving the Sustainable Development Goals (SDG). Global economic models mapping the complex network of global supply such as multiregional input–output (MRIO) or computable general equilibrium (CGE) models have been the workhorses to monitor the past as well as possible future impacts of the bioeconomy. These approaches, however, have often been criticized for their relatively low amount of detail on agriculture and energy, or for their lack of an empirical base for the specification of agents' economic behavior. In this paper, we address these issues and present a hybrid macro-econometric model that combines a comprehensive mapping of the world economy with highly detailed submodules of agriculture and the energy sector in physical units based on FAO and IEA data. We showcase the model in a case study on the future global impacts of the EU's bioeconomy transformation and find small positive economic impacts at the cost of a considerable increase in land use mostly outside of Europe. [ABSTRACT FROM AUTHOR]

As the principal part of economic and social development, the demographic factor is the fundamental factor driving the change of water resources, and achieving the harmony of human and water has been one of the most important tasks to promote high-quality development. Based on Maslow's hierarchy of needs theory, this article applied panel data for 19 years and employed impulse response functions and threshold models to do a mechanism analysis of the impact of population structure changes on the water consumption changes of the three main industries. The study found the following: Firstly, the urban population promotes an increase of the total water consumption, industrial water consumption, and domestic water consumption, which suppresses agricultural water consumption and shows an inverted "N" trend. Secondly, the aging population has expanded the total water consumption, and agricultural and domestic water demand, and reduced industrial water consumption. Thirdly, food consumption helps to reduce the total water consumption and agricultural water consumption, but increases the industrial water consumption and the growth rate rises. Fourthly, the increase in the proportion of agricultural employment reduces the total water consumption, and agricultural and domestic water consumption, and increases industrial water consumption. Fifthly, the total water consumption and domestic water consumption both increase with the improvement of the population education level, while the agricultural water consumption declines first and then rises. The empirical results can provide a reference for analyzing the driving mechanisms of regional water consumption changes. [ABSTRACT FROM AUTHOR]

Footprints are powerful indicators for evaluating the impacts of a country's bioeconomy on environmental goods, both domestic and abroad. We apply a hybrid approach combining a multi-regional input-output model and land use modelling to compute the agricultural land footprint (aLF). Furthermore, we added information on land-use change to the analysis and allocated land conversion to specific commodities. Using Germany as a case study, we show that the aLF abroad is 2.5 to 3 times larger compared to impacts within the country. When allocating land conversion of natural and semi-natural land-cover types in 2005 and 2010 to import increases by Germany, conversion rates were found to be 2.5 times higher than for the global average. Import increases to Germany slowed down in 2015 and 2020, reducing land conversion attributed to the German bioeconomy as well. Our results indicate that looking at a static import pattern is not sufficient to draw a realistic picture of the land footprint of a country. For a more detailed assessment that also considers temporal dynamics and impacts of biomass use and trade, our newly developed set of indicators also captures changes of import patterns over time. The case study shows that our enhanced land footprint provides clear and meaningful information for policymakers and other stakeholders. [ABSTRACT FROM AUTHOR]

Important Agricultural Heritage Systems (IAHS), as a new type of heritage, has received extensive attention from the international scientific communities. With the increase of IAHS research, reviews on it have been conducted by many scholars. However, visualized research to show future research trends of IAHS are lacking. Therefore, using metrology analysis methods, this study aims at presenting the progress of research and the general development trends of Globally Important Agricultural Heritage Systems (GIAHS) in the world from 2006 to 2020 to provide ideas for the development of countries or regions in the future. This study mapped 292 literatures from Web of Science core collections from 2006 to 2020 by CiteSpace software. The results show that research on IAHS from 2006 to 2020 experienced two stages: the fluctuating increase stage, and the steady growth stage. Author groups from China, Italy, the USA, Japan, etc., contributed many papers on IAHS. Institutions including the Chinese Academy of Sciences, the University of Florence and the University of Padua in Italy, etc., have a relatively high influence on international IAHS research. Agriculture Ecosystems & Environment is the most cited journal. Agricultural Heritage Systems, regeneration, agriculture, agroforestry, dry-stone wall, social capital, instability, and agricultural biodiversity have been hotspots in the past 15 years. The research themes mainly focus on GIAHS, tourism, livelihood assets, and direct georeferencing. Authors in different regions concern different research themes. In the future, the fields of applications and microscopic views, social sciences, applications of standardized quantitative research methods, and broadened international cooperation should be paid more attention. [ABSTRACT FROM AUTHOR]

Farmland abandonment is a common phenomenon worldwide, including in the Gandaki River Basin (GRB) in the central Himalayas. This study examined the status of farmland abandonment, along with its trends and determinants, based primarily on interviews with 639 households in different physiographic regions: Mountain, Hill, Tarai and Gangetic Plain (GP). Binary logistic regression was used to examine the contributions of various factors of farmland abandonment. The results indicate that nearly 48%, 15%, 4%, and 16% of total farmland (khet and bari) in the Mountain, Hill, Tarai and GP regions, respectively, has been abandoned. Such differences in the proportion of farmland abandonment among the regions are mainly due to variations in biophysical conditions, agricultural productivity, access to infrastructure facilities, off-farm employment opportunities, and the occurrence of natural hazards. The major determinants for farmland abandonment were also found to vary within the region. Distance from market centers to residence, reduction in the labor force as a result of migration, and household head age were found to be significant factors in farmland abandonment in the Mountain region. Similarly, in the Hill region, eight significant factors were identified: distance from market centers to residence, distance from residence to farmland, lack of irrigation facilities (p = 0.004), reduction in labor force (p = 0.000), household head occupation, lack of training for household head and size of bari land. Household head occupation and household head age were found to play significant roles for farmland abandonment in the Tarai region. In the GP region, distance to market centers and lack of irrigation facilities had positive relationships with farmland abandonment. It is suggested that specific policies addressing the differences in physiographic region, such as horticulture and agroforestry for the Mountain and Hill regions and crop diversification and the adaptation of drought tolerant species with improvement in irrigation systems for the GP region, need to be formulated and implemented in order to utilize the abandoned farmland and have environmental, economic, and sustainable benefits. [ABSTRACT FROM AUTHOR]

In the Midwest U.S. dominated corn-soybean landscape, agroforestry systems can be particularly valuable for increasing the provisioning and regulatory capacity of the agricultural landscape. However, these systems have not yet been broadly integrated into the landscape of this region since they are mostly relegated to marginal lands. A growing body of literature suggests a path to increase the adoption of agroforestry in the Midwest U.S. lies in the incorporation of low-input food-producing tree species that provide economic incentives for farmers. Studies of the system-level integration of such approaches have proceeded by using the currently available cultivars and breeding selections of various tree nut and fruit species. While existing varieties and breeding selections provide the opportunity for initial system development and integration, their broad adaptability to the Midwest U.S. and its marginal land-types is unexplored. Thus, a second tier of research includes the genetic improvement and adaptation of tree crop selections to their respective target environments throughout the Midwest U.S. Fortunately, select tree crops of interest are amendable to systematic breeding and have wild relatives that are endemic across the region. In this paper, we discuss the value of these wild relatives for broadening the adaption of cultivated tree crop selections by using the hazelnut as an example species. We present a framework using geospatial tools to define and prioritize target environments for breeding and, in turn, exploiting wild relative germplasm. [ABSTRACT FROM AUTHOR]

The early growth stage is critical in the response of trees to climate change and variability. It is not clear, however, what climate metrics are best to define the early-growth sensitivity in assessing adaptation strategies of young forests to climate change. Using a combination of field experiments and modelling, we assessed the climate sensitivity of two promising afforestation species, Jatropha curcas L. and Moringa oleifera Lam., by analyzing their predicted climate–growth relationships in the initial two years after planting on degraded cropland in the semi-arid zone of Benin. The process-based WaNuLCAS model (version 4.3, World Agroforestry Centre, Bogor, Indonesia) was used to simulate aboveground biomass growth for each year in the climate record (1981–2016), either as the first or as the second year of tree growth. Linear mixed models related the annual biomass growth to climate indicators, and climate sensitivity indices quantified climate–growth relationships. In the first year, the length of dry spells had the strongest effect on tree growth. In the following year, the annual water deficit and length of dry season became the strongest predictors. Simulated rooting depths greater than those observed in the experiments enhanced biomass growth under extreme dry conditions and reduced sapling sensitivity to drought. Projected increases in aridity implied significant growth reduction, but a multi-species approach to afforestation using species that are able to develop deep-penetrating roots should increase the resilience of young forests to climate change. The results illustrate that process-based modelling, combined with field experiments, can be effective in assessing the climate–growth relationships of tree species. [ABSTRACT FROM AUTHOR]

Biomass energy can mitigate climate change, revitalize rural economies, and achieve energy independence. Using biomass energy as subject matter content, American agricultural education programs at the secondary school level can prepare future agricultural professionals with science, technology, engineering, and mathematics skills to solve complex issues. Through a state-wide survey (N = 100) in the U.S., this study found agriculture teachers’ interest in biomass energy is motivated by economic, environmental, pedagogical, and learning factors. Nine relevant topics were determined as high training needs perceived by teachers. Teacher educators are recommended to incorporate the four factors and nine topics in planning, delivering, and evaluating in-service training programs of biomass energy for agriculture teachers. [ABSTRACT FROM AUTHOR]