Technologies for climate change adaptation: agricultural sector

This Guidebook presents a selection of technologies for climate change adaptation in the agricultural sector. A set of twenty two adaptation technologies are showcased that are primarily based on the principals of agroecology, but also include scientific technologies of climate and biological sciences complemented with important sociological and institutional capacity building processes that are required to make adaptation function. The technologies cover monitoring and forecasting the climate, sustainable water use and management, soil management, sustainable crop management, seed conservation, sustainable forest management and sustainable livestock management. Technologies that tend to homogenize the natural environment and agricultural production have low possibilities of success in conditions of environmental stress that are likely to result from climate change. On the other hand, technologies that allow for, and indeed promote, diversity are more likely to provide a strategy which strengthens agricultural production in the face of uncertain future climate change scenarios. In this sense, the twenty two technologies showcased in this Guidebook have been selected because they facilitate the conservation and restoration of diversity while at the same time providing opportunities for increasing agricultural productivity. Many of these technologies are not new to agricultural production practices, but they are implemented based on assessment of current and possible future impacts of climate change in a particular location. Agro-ecology is an approach that encompasses concepts of sustainable production and biodiversity promotion and therefore provides a useful framework for identifying and selecting appropriate adaptation technologies for the agricultural sector. The Guidebook provides a systematic analysis of the most relevant information available on climate change adaptation technologies in the agriculture sector. It has been compiled based on a literature review of key publications, journal articles, and e-platforms, and by drawing on documented experiences sourced from a range of organizations working on projects and programmes concerned with climate change adaptation technologies in the agricultural sector. Its geographic scope is focused on developing countries where high levels of poverty, agricultural production, climate variability and biological diversity currently intersect. Key concepts around climate change adaptation are not universally agreed. It is therefore important to understand local contexts – especially social and cultural norms - when working with national and sub-national stakeholders to make informed decisions about appropriate technology options. Thus, decision-making processes should be participative, facilitated, and consensus-building oriented and should be based on the following key guiding principles: increasing awareness and knowledge, strengthening institutions, protecting natural resources, providing financial assistance and developing context-specific strategies. For decision-making the Community–Based Adaptation framework is proposed for creating inclusive governance that engages a range of stakeholders directly with local or district government and national coordinating bodies, and facilitates participatory planning, monitoring and implementation of adaptation activities. Seven criteria are suggested for the prioritization of adaptation technologies: (i) The extent to which the technology maintains or strengthens biological diversity and is environmentally sustainable; (ii) The extent to which the technology facilitates access to information systems and awareness of climate change information; (iii) Whether the technology support water, carbon and nutrient cycles and enables stable and/or increased productivity; (iv) Income-generating potential, cost-benefit analysis and contribution to improved equity; (v) Respect for cultural diversity and facilitation of inter-cultural exchange; (vi) Potential for integration into regional and national policies and can be scaled-up; (vii) The extent to which the technology builds formal and information institutions and social networks. Finally, recommendations are set out for practitioners and policy makers: • There is an urgent need for improved climate modelling and forecasting which can provide a basis for informed decision-making and the implementation of adaptation strategies. This should include traditional knowledge. • Information is also required to better understand the behaviour of plants, animals, pests and diseases as they react to climate change. • Potential changes in economic and social systems in the future under different climate scenarios should also be investigated so that the implications of adaptation strategy and planning choices are better understood. • It is important to secure effective flows of information through appropriate dissemination channels. This is vital for building adaptive capacity and decision-making processes. • Improved analysis of adaptation technologies is required to show how they can contribute to building adaptive capacity and resilience in the agricultural sector. This information needs to be compiled and disseminated for a range of stakeholders from local to national level. • Relationships between policy makers, researchers and communities should be built so that technologies and planning processes are developed in partnership, responding to producers’ needs and integrating their knowledge

Controlled Ecological Life Support Systems: Natural and Artificial Ecosystems

The scientists supported by the NASA sponsored Controlled Ecological Life Support Systems (CELSS) program have played a major role in creating a Committee on Space Research (COSPAR) section devoted to the development of bioregenerative life support for use in space. The series of 22 papers were sponsored by Subcommission F.4. The papers deal with many of the diverse aspects of life support, and with outgrowth technologies that may have commercial applications in fields such as biotechnology and bioengineering. Papers from researchers in France, Canada, Japan and the USSR are also presented

Recent results in the development of band steaming for intra-row weed control

The recent achievements with developing band-steaming techniques for intra-row weed control in vegetables are presente

Combining physical and cultural weed control with biological methods – prospects for integrated non-chemical weed management strategies

The paper deals with the possibilities of combining physical weed control with biological weed control

Prediction of the potential geographic distributions and risk assessment of four trade impacting invasive insect pests in Australia and China

This thesis explores biological invasion through the potential pest distribution and risk analysis of tomato potato psyllid (TPP), Bactericera cockerelli; fall armyworm (FAW), Spodoptera frugiperda; Bactrocera bryoniae; and Bactrocera neohumeralis. Through better understanding of the pest distribution and risk analysis agricultural management policies can be implemented, and containment and eradication actions taken. The TPP is a psyllid native to North America that has recently invaded Australia. The potential for economic losses accompanying invasions of TPP and its associated bacterial plant pathogen Candidatus Liberibacter solanacearum (CLso), has caused much concern. Here, we employed ecological niche models to predict environments suitable for TPP/CLso on a global scale and then evaluated the extent to which global potato cultivation is at risk. A total of 86 MaxEnt models were built using various combinations of settings and climatic predictors, and the best model based on model evaluation metrics was selected. Climatically suitable habitats were identified in Eurasia, Africa, South America, and Australasia. Intersecting the predicted suitability map with land use data showed that 79.06% of the global potato production, 96.14% of the potato production acreage in South America and Eurasia, and all the Australian potato production are at risk. The information generated in this study increases knowledge of the ecology of TPP/CLso and can be used by government agencies to make decisions about preventing the spread of TPP and CLso across the globe. Fall armyworm (FAW), S. frugiperda is native to the Americas and it has rapidly invaded 47 African countries and 18 Asian countries since the first detection of invasion into Nigeria and Ghana in 2016. It is regarded as a ‘super pest’ based on its host range (at least 353 host plants), its inherent ability to survive in a wide range of habitats, its strong migration ability, high fecundity, rapid development of resistance to insecticides/viruses and its gluttonous characteristics. In order to better understand the seasonal geographic distributions of S. frugiperda, we employed ecological niche models of MaxEnt to predict potential year-round breeding and seasonal distribution for S. frugiperda on a global scale and in Australia. A total of 74 MaxEnt models were built using various combinations of regularization multiplier, feature class and climatic variables, and the best model based on model evaluation metrics was selected, with an evaluation of dominant climatic factors that control its distribution. The results suggest that the temperature factor was the most important variable affecting the seasonal distribution of S. frugiperda. No matter where in the world, the year-round breeding distribution model predicted smaller portions of fall armyworm's ranges than the seasonal model. S. frugiperda had a high remaining invasion potential in Australia, posing a significant threat to its biosecurity, food security and agricultural productivity. Bactrocera bryoniae and Bactrocera neohumeralis are highly destructive fruit flies and considered major biosecurity/quarantine pests of fruit and vegetable in the tropical and subtropical regions in the South Pacific. Ecological niche modelling MaxEnt was employed to predict the potential geographic distribution of B. bryoniae and B. neohumeralis across the world and particularly in China with the occurrence data of these two species. B. bryoniae and B. neohumeralis exhibit similar potential geographic distribution ranges across the world and in China, and included southern Asia, the central and the southeast coast of Africa, southern North America, northern and central South America, and Australia. While within China, most of the southern Yangtze River area was found suitable for these two species. Notably, southern China was considered to have the highest risk of B. bryoniae and B. neohumeralis invasions. Our study identifies the regions at high risk for potential establishment of B. bryoniae and B. neohumeralis in the world and particularly in China and informs government officials to develop policies for inspection and biosecurity/quarantine measures to prevent and control their invasion

Yield sensing technologies for perennial and annual horticultural crops: a review

Yield maps provide a detailed account of crop production and potential revenue of a farm. This level of details enables a range of possibilities from improving input management, conducting on-farm experimentation, or generating profitability map, thus creating value for farmers. While this technology is widely available for field crops such as maize, soybean and grain, few yield sensing systems exist for horticultural crops such as berries, field vegetable or orchards. Nevertheless, a wide range of techniques and technologies have been investigated as potential means of sensing crop yield for horticultural crops. This paper reviews yield monitoring approaches that can be divided into proximal, either direct or indirect, and remote measurement principles. It reviews remote sensing as a way to estimate and forecast yield prior to harvest. For each approach, basic principles are explained as well as examples of application in horticultural crops and success rate. The different approaches provide whether a deterministic (direct measurement of weight for instance) or an empirical (capacitance measurements correlated to weight for instance) result, which may impact transferability. The discussion also covers the level of precision required for different tasks and the trend and future perspectives. This review demonstrated the need for more commercial solutions to map yield of horticultural crops. It also showed that several approaches have demonstrated high success rate and that combining technologies may be the best way to provide enough accuracy and robustness for future commercial systems

Alaska's Food (In)Security, Climate Change and the Boreal Forest, Biomass and Hydrocarbons

[Geography] -- AMSA: the future of arctic marine shipping: With more shipping traffic in the north and greater marine access due to the retreat of Arctic sea ice, the Arctic states needed to develop a strategy to protect the maritime Arctic, its people, and the environment -- [Forest Sciences] -- Changing the forest and the trees - Is it climate?: Sunspots, sun cycles, El Ninos, La Ninas, atmospheric oscillations, greenhouse gases: climate change has begun to affect the boreal more than any other forest region. / Glenn Patrick Juday -- One Tree in the Tanana Valley: Take one entire tree, and make everything you can out of it-including science and art education. / Nancy Tarnai -- Forest Dynamics & Management: This program monitors the growth and change in Alaska's forests, looking at forest health, characteristics, and regeneration. / Jingjing Liang and Tom Maline -- [High-Latitude Agriculture] -- Alaska's food (in)security: Alaskans have become aware that their food security is precarious - and they're doing something about it. / Deirdre Helfferich and Nancy Tarnai -- Leafhoppers: In Alaska, potato production accounts for 14 percent of total agricultural crop revenues, but the insect pests that can affect them are poorly understood. / Alberto Pantoja, Aaron M. Hagerty, Susan Y. Emmert, and Joseph E. Munyaneza -- You are my Sunshine!: The author took up the challenge: to make a beer brewed with Sunshine Hulless Barley, developed by AFES and released in 2009. / Anita Hartmann -- Reindeer market project makes history: For the first time, reindeer are 4-H project livestock. / George Aguiar -- Security of the red meat supply: Red meat for Alaskans, like other aspects of the food supply in the northernmost state, is dependent upon Outside sources. / Thomas F. Paragi, S. Craig Gerlach, and Alison M. Meadow -- [Natural Resources] -- Salmon and alder: Gasification of Low-Value Biomass in Alaska: Converting Alaska-specific biomass into a volatile hydrocarbon mixture could offset fuel use in remote locations. / Shawn Freitas, Andres Soria, and Cindy Bower -- Unlocking hydrocarbons from biomass: In the world of renewable energy, biomass is the sole source capable of producing hydrocarbons, the raw material needed for fuel, plastics, and the variety of products that maintain the economy. / Andres Soria -- Carex spectabilis: A Sedge for Landscaping and Revegetation in Alaska: Establishing groundcover on barren ground can be a challenge in Alaska; an indigenous sedge may provide a solution. / Jay D. McKendrick -- [People] -- Horace Drury: In Momoriam: This former director of the Alaska Agricultural & Forestry Experiment Station faced the challenge of 'new problems in a new land'. / Nancy Tarnai -- [News & Publications

Utilization and Impact of Internet of Things (IoT) in Food Supply Chains from the Context of Food Loss/Waste Reduction, Shelf-Life Extension and Environmental Impact

openThe Internet of Things (IoT) sensor-based technologies are transforming the realm of food production and consumption by offering the potential to enable real-time tracking and data sharing, thus improving communication in the food supply chain. Specifically, real-time information on the location and state of food products as they travel from farms to processing plants, distribution hubs, and eventually consumers can be provided via IoT-enabled sensors and devices. This enables prompt reaction to deviations from ideal circumstances, delaying spoiling and minimizing food loss and waste (FLW). This approach also allows for dynamic inventory management, mitigating issues of overstocking and understocking often linked to food loss. However, the extent to which the implementation of such technologies can contribute to the mitigation of FLW remains uncertain. Thus, this study explores several IoT applications for food supply chains, including real-time monitoring of temperature, humidity, and other important variables. The research also looks at how IoT may help food goods last longer on the shelf. Moreover, IoT technologies have significant environmental impacts, and it is crucial to carefully consider its total environmental effect. IoT promotes energy-efficient transportation, lessens overstocking and understocking, and decreases the carbon footprint related to food production and distribution by optimizing supply chain processes. Therefore, this study also examines the effects of IoT adoption on the environment, including the manufacturing and decommissioning of IoT infrastructure and devices. It evaluates rigorously whether the possible negative consequences of technological production and waste exceed the beneficial environmental benefits, such as energy-efficient transportation and decreased carbon footprints. Shortly, It is aimed to deeply analyse the use and effects of IoT in the food supply chains, with an emphasis on how it may decrease food loss and waste, increase shelf life, and environmental impacts of its use through an extensive literature search in this study.The Internet of Things (IoT) sensor-based technologies are transforming the realm of food production and consumption by offering the potential to enable real-time tracking and data sharing, thus improving communication in the food supply chain. Specifically, real-time information on the location and state of food products as they travel from farms to processing plants, distribution hubs, and eventually consumers can be provided via IoT-enabled sensors and devices. This enables prompt reaction to deviations from ideal circumstances, delaying spoiling and minimizing food loss and waste (FLW). This approach also allows for dynamic inventory management, mitigating issues of overstocking and understocking often linked to food loss. However, the extent to which the implementation of such technologies can contribute to the mitigation of FLW remains uncertain. Thus, this study explores several IoT applications for food supply chains, including real-time monitoring of temperature, humidity, and other important variables. The research also looks at how IoT may help food goods last longer on the shelf. Moreover, IoT technologies have significant environmental impacts, and it is crucial to carefully consider its total environmental effect. IoT promotes energy-efficient transportation, lessens overstocking and understocking, and decreases the carbon footprint related to food production and distribution by optimizing supply chain processes. Therefore, this study also examines the effects of IoT adoption on the environment, including the manufacturing and decommissioning of IoT infrastructure and devices. It evaluates rigorously whether the possible negative consequences of technological production and waste exceed the beneficial environmental benefits, such as energy-efficient transportation and decreased carbon footprints. Shortly, It is aimed to deeply analyse the use and effects of IoT in the food supply chains, with an emphasis on how it may decrease food loss and waste, increase shelf life, and environmental impacts of its use through an extensive literature search in this study