This page has only limited features, please log in for full access.
The authors have made the following corrections about the published paper
Adam Prag; Christian Henriksen. Correction: Prag, A.A.; Henriksen, C.B. Transition from Animal-Based to Plant-Based Food Production to Reduce Greenhouse Gas Emissions from Agriculture—The Case of Denmark. Sustainability 2020, 12, 8228. Sustainability 2021, 13, 944 .
AMA StyleAdam Prag, Christian Henriksen. Correction: Prag, A.A.; Henriksen, C.B. Transition from Animal-Based to Plant-Based Food Production to Reduce Greenhouse Gas Emissions from Agriculture—The Case of Denmark. Sustainability 2020, 12, 8228. Sustainability. 2021; 13 (2):944.
Chicago/Turabian StyleAdam Prag; Christian Henriksen. 2021. "Correction: Prag, A.A.; Henriksen, C.B. Transition from Animal-Based to Plant-Based Food Production to Reduce Greenhouse Gas Emissions from Agriculture—The Case of Denmark. Sustainability 2020, 12, 8228." Sustainability 13, no. 2: 944.
Cereal–legume intercropping increases the nitrogen (N) input from biological nitrogen fixation (BNF) and improves the exploitation of fertilizer and soil N, often leading to higher grain N content and higher productivity per unit land area compared to monocrops. Previous studies have found that these effects are more tangible under low soil and fertilizer N conditions compared to high N availability, and there is a need to assess the N uptake at critical crop development stages in order to time the N application for maximum uptake and use efficiency. The objective of this study was to assess the productivity of pea–barley intercropping compared to monocropping under 0 kg N ha−1 (0 N) and 100 kg N ha−1 (100 N). In 2017, a split plot experimental design was implemented with pea (Pisum sativum) sole crop (SC pea), barley (Hordeum vulgare) sole crop (SC barley), and pea–barley intercrop (IC total) as the main plots and 100 N applications in two 50 kg N ha−1 splits at 30 and 60 days after emergence as subplots within the main plots. The Land Equivalent Ratio (LER), based on grain dry matter (GDM) yields in the pea–barley intercrop (IC total), was higher (1.14 at 0 N and 1.10 at 100 N), indicating 10–14% greater radiation, nutrient, and water use efficiency compared to the sole crops and 4% greater resource use efficiency at 0 N compared to the 100 N; this illustrated greater total intercrop productivity compared to sole crops. The 100 N treatment decreased the SC pea and pea in intercrop (IC pea) GDM and grain dry matter N (GDMN) and increased the GDM and GDMN in SC barley and barley in the intercrop (IC barley). Intercropping increased the grain N content and therefore the protein content of the grains in 0 N and 100 N treatments. The highest fertilizer N yield, % nitrogen derived from fertilizer (%NDFF), and % nitrogen use efficiency (%NUE) were achieved in SC barley followed by IC total, indicating that intercropping improved the soil and fertilizer N use compared to SC pea. The IC pea increased the % nitrogen derived from atmosphere (%NDFA) from 67.9% in SC pea to 70.1% in IC pea. IC total increased the share of %NDFF, %NDFS, and %NDFA compared to the SC pea, which indicated a significant advantage of intercropping due to the complementarity of the component species under limited N supply in the field.
Reed Cowden; Ambreen Shah; Lisa Lehmann; Lars Kiær; Christian Henriksen; Bhim Ghaley. Nitrogen Fertilizer Effects on Pea–Barley Intercrop Productivity Compared to Sole Crops in Denmark. Sustainability 2020, 12, 9335 .
AMA StyleReed Cowden, Ambreen Shah, Lisa Lehmann, Lars Kiær, Christian Henriksen, Bhim Ghaley. Nitrogen Fertilizer Effects on Pea–Barley Intercrop Productivity Compared to Sole Crops in Denmark. Sustainability. 2020; 12 (22):9335.
Chicago/Turabian StyleReed Cowden; Ambreen Shah; Lisa Lehmann; Lars Kiær; Christian Henriksen; Bhim Ghaley. 2020. "Nitrogen Fertilizer Effects on Pea–Barley Intercrop Productivity Compared to Sole Crops in Denmark." Sustainability 12, no. 22: 9335.
Curbing emissions from agriculture, and especially from livestock production, is essential in order to fulfil the Paris Agreement. Shifting to a diet lower in meat consumption has been emphasized in several studies. Based on the Planetary Health Diet developed by the EAT-Lancet Commission, this study investigates the effect on agricultural greenhouse gas emissions of transitioning the Danish agricultural system, which currently relies mainly on meat and dairy production, towards increased focus on plant-based foods, combined with replacement or reduction of imported feed and carbon sequestration on previous agricultural land. The study finds a large potential for reducing emissions from Danish agriculture through implementation of the Planetary Health Diet, with reductions of up to 20.2 Mt CO2e (CO2 equivalents) (86.5%) under the most ambitious conditions. This demonstrates the potentially large benefits from transitioning towards a more plant-based European agricultural sector and underscores the need for European and national policies incentivizing this transition.
Adam Prag; Christian Henriksen. Transition from Animal-Based to Plant-Based Food Production to Reduce Greenhouse Gas Emissions from Agriculture—The Case of Denmark. Sustainability 2020, 12, 8228 .
AMA StyleAdam Prag, Christian Henriksen. Transition from Animal-Based to Plant-Based Food Production to Reduce Greenhouse Gas Emissions from Agriculture—The Case of Denmark. Sustainability. 2020; 12 (19):8228.
Chicago/Turabian StyleAdam Prag; Christian Henriksen. 2020. "Transition from Animal-Based to Plant-Based Food Production to Reduce Greenhouse Gas Emissions from Agriculture—The Case of Denmark." Sustainability 12, no. 19: 8228.
Water regulation and purification (WR) function is defined as “the capacity of the soil to remove harmful compounds and the capacity of the soil to receive, store and conduct water for subsequent use and to prevent droughts, flooding and erosion.” It is a crucial function that society expects agricultural soils to deliver, contributing to quality water supply for human needs and in particular for ensuring food security. The complexity of processes involved and the intricate tradeoff with other necessary soil functions requires decision support tools for best management of WR function. However, the effects of farm and soil management practices on the delivery of the WR function has not been fully addressed by decision support tools for farmers. This work aimed to develop a decision support model for the management of the WR function performed by agricultural soils. The specific objectives of this paper were (i) to construct a qualitative decision support model to assess the water regulation and purification capacity of agricultural soils at field level, to (ii) conduct sensitivity analysis of the model; and (iii) to validate the model with independent empirical data. The developed decision support model for WR is a hierarchical qualitative model with 5 levels and has 27 basic attributes describing the soil (S), environment (E), and management (M) attributes of the field site to be assessed. The WR model is composed of 3 sub-models concerning (1) soil water storage, (2) P and sediment loss in runoff, and (3) N leaching in percolating water. The WR decision support model was validated using a representative dataset of 94 field sites from across Europe and had an overall accuracy of 75% when compared to the empirically derived values across these sites. This highly accurate, reliable, and useful decision support model for assessing the capacity of agricultural soils to perform the WR function can be used by farmers and advisors help manage and protect their soil resources for the future. This model has also been incorporated into the Soil Navigator decision support tool which provides simultaneous assessment of the WR function and other important soil functions for agriculture.
David P. Wall; Antonio Delgado; Lilian O'Sullivan; Rachel E. Creamer; Aneta Trajanov; Vladimir Kuzmanovski; Christian Bugge Henriksen; Marko Debeljak. A Decision Support Model for Assessing the Water Regulation and Purification Potential of Agricultural Soils Across Europe. Frontiers in Sustainable Food Systems 2020, 4, 1 .
AMA StyleDavid P. Wall, Antonio Delgado, Lilian O'Sullivan, Rachel E. Creamer, Aneta Trajanov, Vladimir Kuzmanovski, Christian Bugge Henriksen, Marko Debeljak. A Decision Support Model for Assessing the Water Regulation and Purification Potential of Agricultural Soils Across Europe. Frontiers in Sustainable Food Systems. 2020; 4 ():1.
Chicago/Turabian StyleDavid P. Wall; Antonio Delgado; Lilian O'Sullivan; Rachel E. Creamer; Aneta Trajanov; Vladimir Kuzmanovski; Christian Bugge Henriksen; Marko Debeljak. 2020. "A Decision Support Model for Assessing the Water Regulation and Purification Potential of Agricultural Soils Across Europe." Frontiers in Sustainable Food Systems 4, no. : 1.
UN Sustainable Development Goals and the Paris agreement for climate change indicate that a transition to sustainable and healthy diets is necessary. Additionally, the fact that agricultural sector is responsible for near a quarter of global greenhouse emissions (IPCC 2019 - special report on climate change), such transition will require substantial dietary shifts, including reduction of sugar and red meat consumption. Vietnam, with more than 95 millions of population, have a challenge to significantly reduce the rice consumption and convert some of the land used for it to production of more legumes. However, correct allocation of arable land for cultivation of particular crops’ combination that would ease the transition, and comply with recommendations for healthy nutritional intake, is a challenge of the society. We approached the problem of arable land allocation with mathematical optimization, in particular stochastic evolutionary computing. Arable land allocation to crops’ combination is evaluated through three objectives: food self-sufficiency, climate efficiency and crop diversity. Candidate solutions (crops’ combinations) were analysed through the non-dominated Pareto front with prioritizing the objective of food self-sufficiency of Vietnam. The results suggest significant change in production of certain crops. As such, sugar cane and rice are required to be reduced on expense of increased production of soybeans, maize, brassicas, and nuts. Therefore, the current surplus of produced carbohydrates would be reduced while proteins increased, which leads to balanced production of macronutrients.
Vladimir Kuzmanovski; Daniel Ellehammer Larsen; Christian Bugge Henriksen. Optimization of arable land use towards meat-free and climate-smart agriculture: A case study in food self-sufficiency of Vietnam. 2019 IEEE International Conference on Big Data (Big Data) 2019, 5140 -5148.
AMA StyleVladimir Kuzmanovski, Daniel Ellehammer Larsen, Christian Bugge Henriksen. Optimization of arable land use towards meat-free and climate-smart agriculture: A case study in food self-sufficiency of Vietnam. 2019 IEEE International Conference on Big Data (Big Data). 2019; ():5140-5148.
Chicago/Turabian StyleVladimir Kuzmanovski; Daniel Ellehammer Larsen; Christian Bugge Henriksen. 2019. "Optimization of arable land use towards meat-free and climate-smart agriculture: A case study in food self-sufficiency of Vietnam." 2019 IEEE International Conference on Big Data (Big Data) , no. : 5140-5148.
Lisa Lehmann; Marin Lysák; Luke Schafer; Christian Bugge Henriksen. Quantification of the understorey contribution to carbon storage in a peri-urban temperate food forest. Urban Forestry & Urban Greening 2019, 45, 126359 .
AMA StyleLisa Lehmann, Marin Lysák, Luke Schafer, Christian Bugge Henriksen. Quantification of the understorey contribution to carbon storage in a peri-urban temperate food forest. Urban Forestry & Urban Greening. 2019; 45 ():126359.
Chicago/Turabian StyleLisa Lehmann; Marin Lysák; Luke Schafer; Christian Bugge Henriksen. 2019. "Quantification of the understorey contribution to carbon storage in a peri-urban temperate food forest." Urban Forestry & Urban Greening 45, no. : 126359.
Food forests offer a number of potential benefits and one of those is the ability to sequester carbon and increase terrestrial carbon stocks on urban, peri-urban and rural land. There is little research on the carbon storage capabilities within agroforestry systems let alone food forests and it is considered an underexploited option for carbon storage. This case study quantified the carbon stored within the above and below ground components of all tree layer woody biomass above 2 m in height and greater than 2 cm diameter at breast height (DBH) in the Agroforestry Research Trust’s peri-urban food forest in Devon, UK. The study formed a population census, which measured all 528 trees across 68 species within the 0.64 hectare food forest. Twenty-three allometric equations were used to estimate above ground biomass (AGB) while the below ground biomass (BGB) was calculated using a root to shoot ratio of 0.18:1. The stored carbon content was calculated as 50% of the total biomass. The temperate food forest case study site was estimated to store 39.53 ± 4.05 Mg C ha-1 in above and below ground living biomass. This result highlights the potential for a food forest stand to store a considerable amount of carbon that is at least within a similar range to other literature sourced urban and peri urban land uses. Thus, a purposely selected food forest assemblage whose primary focus is food production can also be a valuable carbon sink The results offer a promising initial study into the carbon storage potential within a food forest, which is only made more valuable given the other prospective benefits of food forests.
Luke J. Schafer; Marin Lysák; Christian B. Henriksen. Tree layer carbon stock quantification in a temperate food forest: A peri-urban polyculture case study. Urban Forestry & Urban Greening 2019, 45, 126466 .
AMA StyleLuke J. Schafer, Marin Lysák, Christian B. Henriksen. Tree layer carbon stock quantification in a temperate food forest: A peri-urban polyculture case study. Urban Forestry & Urban Greening. 2019; 45 ():126466.
Chicago/Turabian StyleLuke J. Schafer; Marin Lysák; Christian B. Henriksen. 2019. "Tree layer carbon stock quantification in a temperate food forest: A peri-urban polyculture case study." Urban Forestry & Urban Greening 45, no. : 126466.
Soils perform many functions that are vital to societies, among which their capability to regulate global climate has received much attention over the past decades. An assessment of the extent to which soils perform a specific function is not only important to appropriately value their current capacity, but also to make well-informed decisions about how and where to change soil management to align the delivered soil functions with societal demands. To obtain an overview of the capacity of soils to perform different functions, accurate and easy-to-use models are necessary. A problem with most currently-available models is that data requirements often exceed data availability, while generally a high level of expert knowledge is necessary to apply these models. Therefore, we developed a qualitative model to assess how agricultural soils function with respect to climate regulation. The model is driven by inputs about agricultural management practices, soil properties and environmental conditions. To reduce data requirements on stakeholders, the 17 input variables are classified into either (1) three classes: low, medium and high or (2) the presence or absence of a management practice. These inputs are combined using a decision tree with internal integration rules to obtain an estimate of the magnitude of N2O emissions and carbon sequestration. These two variables are subsequently combined into an estimate of the capacity of a soil to perform the climate regulation function. The model was tested using data from long-term field experiments across Europe. This showed that the model is generally able to adequately assess this soil function across a range of environments under different management practices. In a next step, this model will be combined with models to assess other soil functions (soil biodiversity, primary productivity, nutrient cycling and water regulation and purification). This will allow the assessment of trade-offs between these soil functions for agricultural land across Europe.
Marijn Van De Broek; Christian Bugge Henriksen; Bhim Bahadur Ghaley; Emanuele Lugato; Vladimir Kuzmanovski; Aneta Trajanov; Marko Debeljak; Taru Sandén; Heide Spiegel; Charlotte Decock; Rachel Creamer; Johan Six. Assessing the Climate Regulation Potential of Agricultural Soils Using a Decision Support Tool Adapted to Stakeholders' Needs and Possibilities. Frontiers in Environmental Science 2019, 7, 1 .
AMA StyleMarijn Van De Broek, Christian Bugge Henriksen, Bhim Bahadur Ghaley, Emanuele Lugato, Vladimir Kuzmanovski, Aneta Trajanov, Marko Debeljak, Taru Sandén, Heide Spiegel, Charlotte Decock, Rachel Creamer, Johan Six. Assessing the Climate Regulation Potential of Agricultural Soils Using a Decision Support Tool Adapted to Stakeholders' Needs and Possibilities. Frontiers in Environmental Science. 2019; 7 ():1.
Chicago/Turabian StyleMarijn Van De Broek; Christian Bugge Henriksen; Bhim Bahadur Ghaley; Emanuele Lugato; Vladimir Kuzmanovski; Aneta Trajanov; Marko Debeljak; Taru Sandén; Heide Spiegel; Charlotte Decock; Rachel Creamer; Johan Six. 2019. "Assessing the Climate Regulation Potential of Agricultural Soils Using a Decision Support Tool Adapted to Stakeholders' Needs and Possibilities." Frontiers in Environmental Science 7, no. : 1.
Soil biodiversity and habitat provisioning is one of the soil functions that agricultural land provides to society. This paper describes assessment of the soil biodiversity function (SB function) as a proof of concept to be used in a decision support tool for agricultural land management. The SB function is defined as “the multitude of soil organisms and processes, interacting in an ecosystem, providing society with a rich biodiversity source and contributing to a habitat for aboveground organisms.” So far, no single measure provides the full overview of the soil biodiversity and how a soil supports a habitat for a biodiverse ecosystem. We have assembled a set of attributes for a proxy-indicator system, based on four “integrated attributes”: (1) soil nutrient status, (2) soil biological status, (3) soil structure, and (4) soil hydrological status. These attributes provide information to be used in a model for assessing the capacity of a soil to supply the SB function. A multi-criteria decision model was developed which comprises of 34 attributes providing information to quantify the four integrated attributes and subsequently assess the SB function for grassland and for cropland separately. The model predictions (in terms of low—moderate—high soil biodiversity status) were compared with expert judgements for a collection of 137 grassland soils in the Netherlands and 52 French soils, 29 grasslands, and 23 croplands. For both datasets, the results show that the proposed model predictions were statistically significantly correlated with the expert judgements. A sensitivity analysis indicated that the soil nutrient status, defined by attributes such as pH and organic carbon content, was the most important integrated attribute in the assessment of the SB function. Further progress in the assessment of the SB function is needed. This can be achieved by better information regarding land use and farm management. In this way we may make a valuable step in our attempts to optimize the multiple soil functions in agricultural landscapes, and hence the multifaceted role of soils to deliver a bundle of ecosystem services for farmers and citizens, and support land management and policy toward a more sustainable society.
Jeroen P. Van Leeuwen; Rachel Creamer; Daniel Cluzeau; Marko Debeljak; Fabio Gatti; Christian Bugge Henriksen; Vladimir Kuzmanovski; Cristina Menta; Guénola Pérès; Calypso Picaud; Nicolas P. A. Saby; Aneta Trajanov; Isabelle Trinsoutrot-Gattin; Giovanna Visioli; Michiel Rutgers. Modeling of Soil Functions for Assessing Soil Quality: Soil Biodiversity and Habitat Provisioning. Frontiers in Environmental Science 2019, 7, 1 .
AMA StyleJeroen P. Van Leeuwen, Rachel Creamer, Daniel Cluzeau, Marko Debeljak, Fabio Gatti, Christian Bugge Henriksen, Vladimir Kuzmanovski, Cristina Menta, Guénola Pérès, Calypso Picaud, Nicolas P. A. Saby, Aneta Trajanov, Isabelle Trinsoutrot-Gattin, Giovanna Visioli, Michiel Rutgers. Modeling of Soil Functions for Assessing Soil Quality: Soil Biodiversity and Habitat Provisioning. Frontiers in Environmental Science. 2019; 7 ():1.
Chicago/Turabian StyleJeroen P. Van Leeuwen; Rachel Creamer; Daniel Cluzeau; Marko Debeljak; Fabio Gatti; Christian Bugge Henriksen; Vladimir Kuzmanovski; Cristina Menta; Guénola Pérès; Calypso Picaud; Nicolas P. A. Saby; Aneta Trajanov; Isabelle Trinsoutrot-Gattin; Giovanna Visioli; Michiel Rutgers. 2019. "Modeling of Soil Functions for Assessing Soil Quality: Soil Biodiversity and Habitat Provisioning." Frontiers in Environmental Science 7, no. : 1.
Agricultural decision support systems (DSSs) are mostly focused on increasing the supply of individual soil functions such as, e.g., primary productivity or nutrient cycling, while neglecting other important soil functions, such as, e.g., water purification and regulation, climate regulation and carbon sequestration, soil biodiversity, and habitat provision. Making right management decisions for long-term sustainability is therefore challenging, and farmers and farm advisors would greatly benefit from an evidence-based DSS targeted for assessing and improving the supply of several soil functions simultaneously. To address this need, we designed the Soil Navigator DSS by applying a qualitative approach to multi-criteria decision modeling using Decision Expert (DEX) integrative methodology. Multi-criteria decision models for the five main soil functions were developed, calibrated, and validated using knowledge of involved domain experts and knowledge extracted from existing datasets by data mining. Subsequently, the five DEX models were integrated into a DSS to assess the soil functions simultaneously and to provide management advices for improving the performance of prioritized soil functions. To enable communication between the users and the DSS, we developed a user-friendly computer-based graphical user interface, which enables users to provide the required data regarding their field to the DSS and to get textual and graphical results about the performance of each of the five soil functions in a qualitative way. The final output from the DSS is a list of soil mitigation measures that the end-users could easily apply in the field in order to achieve the desired soil function performance. The Soil Navigator DSS has a great potential to complement the Farm Sustainability Tools for Nutrients included in the Common Agricultural Policy 2021–2027 proposal adopted by the European Commission. The Soil Navigator has also a potential to be spatially upgraded to assist decisions on which soil functions to prioritize in a specific region or member state. Furthermore, the Soil Navigator DSS could be used as an educational tool for farmers, farm advisors, and students, and its potential should be further exploited for the benefit of farmers and the society as a whole.
Marko Debeljak; Aneta Trajanov; Vladimir Kuzmanovski; Jaap Schröder; Taru Sandén; Heide Spiegel; David P. Wall; Marijn Van de Broek; Michiel Rutgers; Francesca Bampa; Rachel E. Creamer; Christian B. Henriksen. A Field-Scale Decision Support System for Assessment and Management of Soil Functions. Frontiers in Environmental Science 2019, 7, 1 .
AMA StyleMarko Debeljak, Aneta Trajanov, Vladimir Kuzmanovski, Jaap Schröder, Taru Sandén, Heide Spiegel, David P. Wall, Marijn Van de Broek, Michiel Rutgers, Francesca Bampa, Rachel E. Creamer, Christian B. Henriksen. A Field-Scale Decision Support System for Assessment and Management of Soil Functions. Frontiers in Environmental Science. 2019; 7 ():1.
Chicago/Turabian StyleMarko Debeljak; Aneta Trajanov; Vladimir Kuzmanovski; Jaap Schröder; Taru Sandén; Heide Spiegel; David P. Wall; Marijn Van de Broek; Michiel Rutgers; Francesca Bampa; Rachel E. Creamer; Christian B. Henriksen. 2019. "A Field-Scale Decision Support System for Assessment and Management of Soil Functions." Frontiers in Environmental Science 7, no. : 1.
Breadfruit is a high yielding tree crop with a long history in the Pacific Islands, with the potential to improve food security under climate change. Traditionally, it has been grown and used extensively as a food source in Hawaii, but in the past decades, it has been neglected, underutilized, and supplanted by imported staple foods. Revitalization of breadfruit is central for reducing dependency on food imports and increasing food resiliency and self-sufficiency in Hawaii. Such a process could potentially be strengthened by the development of novel value-added products. This empirical study investigates consumer acceptance and willingness to pay in two scenarios: with and without detailed product information about breadfruit and its cultural significance, nutritional benefits and potential contribution to increase local food security. A total of 440 consumers participated in the study. Participants receiving descriptive information had a higher level of acceptance and were willing to pay a higher price compared with participants who were not informed that the product was made from breadfruit: 1.33 ± 0.15 acceptance on the hedonic scale and 1.26 ± 0.23 USD (both p < 0.0001). In conclusion, repeated exposure and building a positive narrative around breadfruit products may increase consumer acceptability.
Marin Lysák; Christian Ritz; Christian Bugge Henriksen. Assessing Consumer Acceptance and Willingness to Pay for Novel Value-Added Products Made from Breadfruit in the Hawaiian Islands. Sustainability 2019, 11, 3135 .
AMA StyleMarin Lysák, Christian Ritz, Christian Bugge Henriksen. Assessing Consumer Acceptance and Willingness to Pay for Novel Value-Added Products Made from Breadfruit in the Hawaiian Islands. Sustainability. 2019; 11 (11):3135.
Chicago/Turabian StyleMarin Lysák; Christian Ritz; Christian Bugge Henriksen. 2019. "Assessing Consumer Acceptance and Willingness to Pay for Novel Value-Added Products Made from Breadfruit in the Hawaiian Islands." Sustainability 11, no. 11: 3135.
Agricultural soils provide society with several functions, one of which is primary productivity. This function is defined as the capacity of a soil to supply nutrients and water and to produce plant biomass for human use, providing food, feed, fiber, and fuel. For farmers, the productivity function delivers an economic basis and is a prerequisite for agricultural sustainability. Our study was designed to develop an agricultural primary productivity decision support model. To obtain a highly accurate decision support model that helps farmers and advisors to assess and manage the provision of the primary productivity soil function on their agricultural fields, we addressed the following specific objectives: (i) to construct a qualitative decision support model to assess the primary productivity soil function at the agricultural field level; (ii) to carry out verification, calibration, and sensitivity analysis of this model; and (iii) to validate the model based on empirical data. The result is a hierarchical qualitative model consisting of 25 input attributes describing soil properties, environmental conditions, cropping specifications, and management practices on each respective field. An extensive dataset from France containing data from 399 sites was used to calibrate and validate the model. The large amount of data enabled data mining to support model calibration. The accuracy of the decision support model prior to calibration supported by data mining was ~40%. The data mining approach improved the accuracy to 77%. The proposed methodology of combining decision modeling and data mining proved to be an important step forward. This iterative approach yielded an accurate, reliable, and useful decision support model for the assessment of the primary productivity soil function at the field level. This can assist farmers and advisors in selecting the most appropriate crop management practices. Embedding this decision support model in a set of complementary models for four adjacent soil functions, as endeavored in the H2020 LANDMARK project, will help take the integrated sustainability of arable cropping systems to a new level.
Taru Sandén; Aneta Trajanov; Heide Spiegel; Vladimir Kuzmanovski; Nicolas P. A. Saby; Calypso Picaud; Christian Bugge Henriksen; Marko Debeljak. Development of an Agricultural Primary Productivity Decision Support Model: A Case Study in France. Frontiers in Environmental Science 2019, 7, 1 .
AMA StyleTaru Sandén, Aneta Trajanov, Heide Spiegel, Vladimir Kuzmanovski, Nicolas P. A. Saby, Calypso Picaud, Christian Bugge Henriksen, Marko Debeljak. Development of an Agricultural Primary Productivity Decision Support Model: A Case Study in France. Frontiers in Environmental Science. 2019; 7 ():1.
Chicago/Turabian StyleTaru Sandén; Aneta Trajanov; Heide Spiegel; Vladimir Kuzmanovski; Nicolas P. A. Saby; Calypso Picaud; Christian Bugge Henriksen; Marko Debeljak. 2019. "Development of an Agricultural Primary Productivity Decision Support Model: A Case Study in France." Frontiers in Environmental Science 7, no. : 1.
Food forestry is an emerging multifunctional perennial polyculture food production system that has the potential to contribute to food security and mitigate malnutrition in urban and peri-urban areas by addressing the three main components of food security: Availability, access and utilisation. Despite this potential to increase food security only very few studies have estimated the food production potential of food forests in a temperate climate. In this study the actual food production potential of a 0.08 ha peri-urban food forest in Coldstream, Scotland is determined based on average annual yield records of the 99 species grown in the food forest from 2011–2017, coupled with information about energy and macronutrient content of these species obtained from nutritional databases, research articles and laboratory measurements. The results show that the average annual yield of the 0.08 ha food forest is 713 kg, corresponding to 415,075 kcal, 9868 g protein, 8394 g fat and 85,627 g carbohydrates. Assuming a carbohydrate rich diet where the maximum recommended 60% of energy comes from carbohydrates and the remaining 40% is divided between 25% from fat and 15% from protein, one hectare of food forest with the same species composition as the Garden Cottage food forest would be able to supply up to 7 males or 9 females with carbohydrates, 4 males or 5 females with fat, and 3 males or 4 females with protein. This is somewhat lower than previous assessments and estimates of the food supply capacity of food forests ranging from 6 to 10 people, but since the studied food forest has a relatively low production of protein and fat compared with carbohydrates, this could potentially be increased by incorporating more protein and fat crops, such as legumes and nut trees.
Josefine Lærke Skrøder Nytofte; Christian Bugge Henriksen. Sustainable food production in a temperate climate – a case study analysis of the nutritional yield in a peri-urban food forest. Urban Forestry & Urban Greening 2019, 45, 126326 .
AMA StyleJosefine Lærke Skrøder Nytofte, Christian Bugge Henriksen. Sustainable food production in a temperate climate – a case study analysis of the nutritional yield in a peri-urban food forest. Urban Forestry & Urban Greening. 2019; 45 ():126326.
Chicago/Turabian StyleJosefine Lærke Skrøder Nytofte; Christian Bugge Henriksen. 2019. "Sustainable food production in a temperate climate – a case study analysis of the nutritional yield in a peri-urban food forest." Urban Forestry & Urban Greening 45, no. : 126326.
Soil and its ecosystem functions play a societal role in securing sustainable food production while safeguarding natural resources. A functional land management framework has been proposed to optimize the agro‐environmental outputs from the land and specifically the supply and demand of soil functions like: i) primary productivity, ii) carbon sequestration, iii) water purification and regulation, iv) biodiversity and v) nutrient cycling, for which soil knowledge is essential. From the outset, the LANDMARK multi‐actor research project integrates harvested knowledge from local, national and European stakeholders to develop such guidelines, creating a sense of ownership, trust and reciprocity of the outcomes. About 470 stakeholders from five European countries participated in 32 structured workshops covering multiple land uses in six climatic zones. The harmonized results include: stakeholders’ priorities and concerns, perceptions on soil quality and functions, implementation of tools, management techniques, indicators and monitoring, activities and policies, knowledge gaps and ideas. Multi‐criteria decision analysis was used for data analysis. Two qualitative models were developed using Decision EXpert methodology to evaluate “knowledge” and “needs”. Soil quality perceptions differed across workshops, depending on the stakeholder level and regionally established terminologies. Stakeholders had good inherent knowledge about soil functioning, but several gaps were identified. In terms of critical requirements, stakeholders defined high technical, activity and policy needs in: 1) financial incentives, 2) credible information on improving more sustainable management practices, 3) locally‐relevant advice, 4) farmers’ discussion groups, 5) training programs, 6) funding for applied research and monitoring, as well as 7) strengthening soil science in education. This article is protected by copyright. All rights reserved.
Francesca Bampa; Lilian O'sullivan; Kirsten Madena; Taru Sandén; Heide Spiegel; Christian Bugge Henriksen; Bhim Bahadur Ghaley; Arwyn Jones; Jan Staes; Sylvain Sturel; Aneta Trajanov; Rachel E. Creamer; Marko Debeljak. Harvesting European knowledge on soil functions and land management using multi‐criteria decision analysis. Soil Use and Management 2019, 35, 6 -20.
AMA StyleFrancesca Bampa, Lilian O'sullivan, Kirsten Madena, Taru Sandén, Heide Spiegel, Christian Bugge Henriksen, Bhim Bahadur Ghaley, Arwyn Jones, Jan Staes, Sylvain Sturel, Aneta Trajanov, Rachel E. Creamer, Marko Debeljak. Harvesting European knowledge on soil functions and land management using multi‐criteria decision analysis. Soil Use and Management. 2019; 35 (1):6-20.
Chicago/Turabian StyleFrancesca Bampa; Lilian O'sullivan; Kirsten Madena; Taru Sandén; Heide Spiegel; Christian Bugge Henriksen; Bhim Bahadur Ghaley; Arwyn Jones; Jan Staes; Sylvain Sturel; Aneta Trajanov; Rachel E. Creamer; Marko Debeljak. 2019. "Harvesting European knowledge on soil functions and land management using multi‐criteria decision analysis." Soil Use and Management 35, no. 1: 6-20.
Conventional farming (CONV) is the norm in European farming, causing adverse effects on some of the five major soil functions, viz. primary productivity, carbon sequestration and regulation, nutrient cycling and provision, water regulation and purification, and habitat for functional and intrinsic biodiversity. Conservation agriculture (CA) is an alternative to enhance soil functions. However, there is no analysis of CA benefits on the five soil functions as most studies addressed individual soil functions. The objective was to compare effects of CA and CONV practices on the five soil functions in four major environmental zones (Atlantic North, Pannonian, Continental and Mediterranean North) in Europe by applying expert scoring based on synthesis of existing literature. In each environmental zone, a team of experts scored the five soil functions due to CA and CONV treatments and median scores indicated the overall effects on five soil functions. Across the environmental zones, CONV had overall negative effects on soil functions with a median score of 0.50 whereas CA had overall positive effects with median score ranging from 0.80 to 0.83. The study proposes the need for field-based investigations, policies and subsidy support to benefit from CA adoption to enhance the five soil functions.
Bhim Bahadur Ghaley; Teodor Rusu; Taru Sandén; Heide Spiegel; Cristina Menta; Giovanna Visioli; Lilian O’Sullivan; Isabelle Trinsoutrot Gattin; Antonio Delgado; Mark A. Liebig; Dirk Vrebos; Tamas Szegi; Erika Michéli; Horia Cacovean; Christian Bugge Henriksen. Assessment of Benefits of Conservation Agriculture on Soil Functions in Arable Production Systems in Europe. Sustainability 2018, 10, 794 .
AMA StyleBhim Bahadur Ghaley, Teodor Rusu, Taru Sandén, Heide Spiegel, Cristina Menta, Giovanna Visioli, Lilian O’Sullivan, Isabelle Trinsoutrot Gattin, Antonio Delgado, Mark A. Liebig, Dirk Vrebos, Tamas Szegi, Erika Michéli, Horia Cacovean, Christian Bugge Henriksen. Assessment of Benefits of Conservation Agriculture on Soil Functions in Arable Production Systems in Europe. Sustainability. 2018; 10 (3):794.
Chicago/Turabian StyleBhim Bahadur Ghaley; Teodor Rusu; Taru Sandén; Heide Spiegel; Cristina Menta; Giovanna Visioli; Lilian O’Sullivan; Isabelle Trinsoutrot Gattin; Antonio Delgado; Mark A. Liebig; Dirk Vrebos; Tamas Szegi; Erika Michéli; Horia Cacovean; Christian Bugge Henriksen. 2018. "Assessment of Benefits of Conservation Agriculture on Soil Functions in Arable Production Systems in Europe." Sustainability 10, no. 3: 794.
Fan Fan; Christian Bugge Henriksen; John Porter. Relationship between stoichiometry and ecosystem services: A case study of organic farming systems. Ecological Indicators 2018, 85, 400 -408.
AMA StyleFan Fan, Christian Bugge Henriksen, John Porter. Relationship between stoichiometry and ecosystem services: A case study of organic farming systems. Ecological Indicators. 2018; 85 ():400-408.
Chicago/Turabian StyleFan Fan; Christian Bugge Henriksen; John Porter. 2018. "Relationship between stoichiometry and ecosystem services: A case study of organic farming systems." Ecological Indicators 85, no. : 400-408.
Organic agriculture aims to produce food while establishing an ecological balance to augment ecosystem services (ES) and has been rapidly expanding in the world since the 1980s. Recently, however, in several European countries, including Denmark, organic farmers have converted back to conventional farming. Hence, understanding how agricultural ES are affected by the number of years since conversion to organic farming is imperative for policy makers to guide future agricultural policy. In order to investigate the long-term effects of conversion to organic farming on ES we performed i) a model simulation case study by applying the Daisy model to simulate 14 different conversion scenarios for a Danish farm during a 65 year period with increasing number of years under organic farming, and ii) an on-farm case study in Denmark with one conventional farm, one organic farm under conversion, and three organic farms converted 10, 15 and 58 years ago, respectively. Both the model simulation case study and the on-farm case study showed that non-marketable ES values increased with increasing number of years under organic farming. Trade-offs between marketable and non-marketable ES were not evident, since also marketable ES values generally showed an increasing trend, except when the price difference between organic and conventional products in the model simulation study was the smallest, and when an alfalfa pre-crop in the on-farm case study resulted in a significantly higher level of plant available nitrogen, which boosted the yield and the associated marketable ES of the subsequent winter rye crop. These results indicate a possible benefit of preserving long-term organic farms and could be used to argue for agricultural policy interventions to offset further reduction in the number of organic farms or the land area under organic farming.
Fan Fan; Christian Bugge Henriksen; John Porter. Long-term effects of conversion to organic farming on ecosystem services - a model simulation case study and on-farm case study in Denmark. Agroecology and Sustainable Food Systems 2017, 42, 504 -529.
AMA StyleFan Fan, Christian Bugge Henriksen, John Porter. Long-term effects of conversion to organic farming on ecosystem services - a model simulation case study and on-farm case study in Denmark. Agroecology and Sustainable Food Systems. 2017; 42 (5):504-529.
Chicago/Turabian StyleFan Fan; Christian Bugge Henriksen; John Porter. 2017. "Long-term effects of conversion to organic farming on ecosystem services - a model simulation case study and on-farm case study in Denmark." Agroecology and Sustainable Food Systems 42, no. 5: 504-529.
Resumé Online learning communities are a foundational element of online and blended learning. Many learning activities in online and blended learning courses require students to collaborate and work together with their peers. In order for these learning activities to be successful it is important that participants are engaged socially and emotionally in their online interaction to create a sense of community and cohesion, corresponding to what constitutes Social Presence in the Community of Inquiry Framework model. As teachers, we therefore focus on creating learning designs that facilitate the development of online learning communities. In this article, we examine the development of online learning communities in online discussion forums. We map a selection of discussion threads from three university-level courses using the NodeXL software, and discuss the implications of e.g. structure, facilitation and group size on the online learning community that emerges. We find that the framework for participation in discussions (e.g. level of guidance and role of facilitators) affects the degree of connectivity within the online learning community and the prevalence of “social” posting, which has implications for strengthening the community and student-to-student support throughout the course.
Victoria Jae Chuang; Alejandro Ceballos; Helle Bundgaard; Peter Furu; Henrik Bregnhøj; Inez Harker-Schuch; Christian Bugge Henriksen. Understanding the dynamics of online learning communities; experiences from three university courses. Tidsskriftet Læring og Medier (LOM) 2016, 9, 1 .
AMA StyleVictoria Jae Chuang, Alejandro Ceballos, Helle Bundgaard, Peter Furu, Henrik Bregnhøj, Inez Harker-Schuch, Christian Bugge Henriksen. Understanding the dynamics of online learning communities; experiences from three university courses. Tidsskriftet Læring og Medier (LOM). 2016; 9 (16):1.
Chicago/Turabian StyleVictoria Jae Chuang; Alejandro Ceballos; Helle Bundgaard; Peter Furu; Henrik Bregnhøj; Inez Harker-Schuch; Christian Bugge Henriksen. 2016. "Understanding the dynamics of online learning communities; experiences from three university courses." Tidsskriftet Læring og Medier (LOM) 9, no. 16: 1.
Resumé ”Design patterns” were originally proposed in architecture and later in software engineering as a methodology to sketch and share solutions to recurring design problems. In recent years ”pedagogical design patterns” have been introduced as a way to sketch and share good practices in teaching and learning; specifically in the context of technology-enhanced learning (e-learning). Several attempts have been made to establish a framework for describing and sharing such e-learning patterns, but so far they have had limited success. At a series of workshops in a competence-development project for teachers at the University of Copenhagen a new and simpler pedagogical design pattern framework was developed for interfaculty sharing of experiences and enhancing communities of practice in relation to online and blended learning across the university. In this study, the new pedagogical design pattern framework is applied to describe the learning design in four online and blended learning courses within different academic disciplines: Classical Greek, Biostatistics, Environmental Management in Europe, and Climate Change Impacts, Adaptation and Mitigation. Future perspectives for using the framework for developing new E-learning patterns for online and blended learning courses are discussed.
Chresteria Neutszky-Wulff; Susanne Rosthøj; Inez Harker-Schuch; Victoria Jae Chuang; Henrik Bregnhøj; Christian Bugge Henriksen; Michael May. A pedagogical design pattern framework for sharing experiences and enhancing communities of practice within online and blended learning. Tidsskriftet Læring og Medier (LOM) 2016, 9, 1 .
AMA StyleChresteria Neutszky-Wulff, Susanne Rosthøj, Inez Harker-Schuch, Victoria Jae Chuang, Henrik Bregnhøj, Christian Bugge Henriksen, Michael May. A pedagogical design pattern framework for sharing experiences and enhancing communities of practice within online and blended learning. Tidsskriftet Læring og Medier (LOM). 2016; 9 (16):1.
Chicago/Turabian StyleChresteria Neutszky-Wulff; Susanne Rosthøj; Inez Harker-Schuch; Victoria Jae Chuang; Henrik Bregnhøj; Christian Bugge Henriksen; Michael May. 2016. "A pedagogical design pattern framework for sharing experiences and enhancing communities of practice within online and blended learning." Tidsskriftet Læring og Medier (LOM) 9, no. 16: 1.
Resumé Although research suggests that project collaboration supports deep learning, facilitators frequently face participation and engagement challenges – particularly in 100% online courses and/or courses with students from diverse geographical/cultural backgrounds. We present our experiences with learning designs featuring online project collaboration by examining student evaluation of the group work component in the course ‘Climate Change Impacts and Adaptation’ and reviewing specific process reports from the course ‘Environmental Management in the Tropics’. For the CCIAM we discern positive trends over the 2009-2012 period with ‘collaborative dynamics’, ‘organisation/coordination’, ‘burden sharing’ and practical knowledge’ showing significant improvements following revision. We provide experience from revising the CCIAM course (responding to evaluations) - and reflect on the results that such revisions engender. Determining specific factors that contribute to improvements in student evaluations are not always clear but we offer suggestions for facilitating online project collaboration to circumnavigate the four above-mentioned major issues identified on the CCIAM course: these suggestions are peer assessment, mandatory participation, and grading (as a contribution to the overall final grade). For EMiT ‘communication’ showed the strongest issue-signal – with organization/coordination ‘cultural issues’ and ‘learning outcomes’ also indicating issue-relevance.. We propose that learning designs for online project collaboration can be improved via teacher-facilitated interventions without undermining the socialisation pathways that students can find motivating and that promote online team building.
Inez Estelle Harker-Schuch; Henrik Bregnhøj; Victoria Jae Chuang; Peter Furu; Ingelise Andersen; Christian Bugge Henriksen. Facilitating online project collaboration - new directions for learning design. Tidsskriftet Læring og Medier (LOM) 2016, 9, 1 .
AMA StyleInez Estelle Harker-Schuch, Henrik Bregnhøj, Victoria Jae Chuang, Peter Furu, Ingelise Andersen, Christian Bugge Henriksen. Facilitating online project collaboration - new directions for learning design. Tidsskriftet Læring og Medier (LOM). 2016; 9 (16):1.
Chicago/Turabian StyleInez Estelle Harker-Schuch; Henrik Bregnhøj; Victoria Jae Chuang; Peter Furu; Ingelise Andersen; Christian Bugge Henriksen. 2016. "Facilitating online project collaboration - new directions for learning design." Tidsskriftet Læring og Medier (LOM) 9, no. 16: 1.