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ArticleProductivity zoning of the taiga ecosystems of the Northern European part of Russia by the blueberry, lingonberry, cranberry and cloudberry merchantable resources
XV World Forestry Congress, 2-6 May 2022
2022Also available in:
No results found.Since ancient times, wild berries in the North have been considered the most valuable food raw material along with the main food products. The most important food berry resources in the European North of Russia include cranberries (Vaccinium oxycoccos L.), lingonberries (Vaccinium vitis-idaea L.), blueberries (Vaccinium myrtillus L.), cloudberries (Rubus chamaemorus L.). The concept of the carried out research is to ensure the sustainable use of non-wood forest resources to improve the health, food, income, employment, and well-being of the population (SDGs 2, 12, 15). Nowadays the knowledge on the forest berry yielding capacity and related forecasts is in demand with businesses dealing with the use of non-wood raw products, which are of high spatio-temporal variability. Based on the analysis of the available stock materials, general methodological approaches were developed for determining the potential yield capacity by species and combinations of species of berry raw materials in the form of an average annual merchantable stock in kilograms of raw materials per unit area (hectare) for each unit of managed forests (lesnichestvo). It can be used in the planning of forest use for harvesting non-wood forest products. Analysis of spatial information showed that in terms of food berry resources the most productive are the forests of the southern part of the European North of Russia, located in the subzones of the middle and southern taiga. It was revealed that the ecological and biological characteristics of the studied berry species largely determined the localization of areas characterized by their high operational stocks. The main factors, determining the spatial localization of the operational stocks of lingonberry and blueberry, are the landscape features of the territory as well as the level of anthropogenic impact that provides for a high proportion of felling sites of various ages in the lingonberry and blueberry groups of forest types. Keywords: Non-wood forest products; volume of potential yield; the planning and cartographic materials; Arkhangelsk Region; principle of building a map ID: 3479190 -
Book (series)Understanding the drought impact of El Niño on the global agricultural areas
An assessment using FAO’s Agricultural Stress Index (ASI)
2015Also available in:
During El Niño episodes the normal patterns of tropical precipitation and atmospheric circulation become disrupted triggering extreme climate events around the globe: droughts, floods and affecting the intensity and frequency of hurricanes. Disasters create poverty traps that increase the prevalence of food insecurity and malnutrition. Agriculture is one of the main sectors of the economy that could be severely affected by El Niño event. FAO monitors the El Niño-Southern Oscillation (ENSO) pheno menon, among other weather related hazards, with a special focus on the potential impacts on the agricultural sector. The objective of this study is to enhance our understanding the El Niño phenomenon using FAO’s Agricultural Stress Index System (ASIS). This study is carried out under the auspices of the new FAO Strategic Framework, for the Strategic Objective 5 “Increase the resilience of livelihoods to threats and crises”. The study outcomes are expected to enhance further discussions on our u nderstanding of the El Niño Phenomenon and add to the growing literature. This would in turn improve effective early warning capabilities of FAO and partners to issue and trigger timely disaster risk reduction measures. -
Book (stand-alone)Data management and visualisation in response to large-scale nuclear emergencies affecting food and agriculture 2019
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No results found.In a large-scale nuclear emergency affecting food and agriculture, the release of radionuclides to the environment can severely impact the food chain and human health. Up-to-date information of soil, water and crops are pertinent to informing decisions that prevent potentially contaminated products from reaching consumers. However, traditional management and visualisation of data are constrained in response times and decision-making accuracy as they are often not centralized and performed manually. Developments in information technology (IT) allow for Decision Support System (DSS) tools and algorithms to enhance real-time management of large volumes of data and decision-making in a spatio-temporal context. These IT support functions increase the capacity of stakeholders to focus on the most important matters at hand – ensuring food and consumer safety. This publication presents the challenges and solutions of real-time data management, geo-visualisation and decision making, as well as two case-studies of how innovative IT systems can assist in nuclear emergency response affecting food and agriculture. One of the case studies presented is by the Soil and Water Management and Crop Nutrition Laboratory of the Joint FAO/IAEA Division; the other case study by Japanese Competent Authorities in the aftermath of the Fukushima Daiichi Nuclear Power Plant accident.
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