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ArticleJournal articleAnalysis of the evolution of deforestation in the State of Acre, in the Acre riverbasin, in buffer and permanent protected areas, from 1997 to 2017
XV World Forestry Congress, 2-6 May 2022
2022Also available in:
No results found.The goal of this article is to quantify the area deforested up to 2017 and the evolution of deforestation over the last 20 years (1997-2017) in the state of Acre, with a closer look atthe categories oftheAcre River basin, alluvial forests buffer and legally protected riparianforests (APP) along the Acre River as well as the territorial categories of public areas and private or unincorporated areas. The Acre River Basin has great socioeconomic and environmentalrelevance for the state of Acre, concentrating 66.6% of the state's total population. It is connected by road with the Pacific, and contains 49 family farm settlement projects and has 36% of its area in protected areas. The results of the comparisons between the percentages of deforested areas and the evolution of deforestation in these categories shows that the APP and buffer of alluvial forests had the highest percentage of deforestedareas, with 48% and 45%, respectively. The evolution of deforestation in these areas nearthe Acre River also shows that it acted as a vector of deforestation, with private or unincorporated areas as the main drivers. Smallholder farmers in settlement projects had a deforestation pattern that increased with distance from the river, while the traditional populations of the Chico Mendes Extractive Reserve and the indigenous populations of the Acre River Headland Indigenous Land had a pattern of greater deforestation closest to the river. Keywords: Amazon, Public and Private Areas, Riparian Forests, Vector of Deforstatiton. ID: 3622253 -
ArticleJournal articleImprovement of the forest cover-changes cartography from global forest change for critical deforestation regions in Mexico. Case of the Lacandona Region 2014-2021
XV World Forestry Congress, 2-6 May 2022
2022Also available in:
No results found.Global Forest Change (GFC) is a global monitoring system with moderate resolution (Landsat, 30 m pixel) that allows knowing the location and magnitude of the losses or gains of global forest cover. Critical Forest Change (CFC) is a calibration system based on comprehensive photo interpretation (1:10,000 scale for change editing, and 1:5,000 scale for interpretation- confirmation of change strata), with diagnostic criteria supported by field data of the National Forest Inventory (scale 1:1, period 2014-2021). CFC reduces until 85.8% the overestimation of the forest loss of GFC in the case of the Lacandona Region (327,646 ha). The process included the analysis of data at 330 study sites and the interpretation of 1,190 frames of Spot-6 (April 28, 2014) versus Sentinel-2 (April 24, 2021) in higher resolution (10 m). The annual rate of forest loss obtained by GFC (4,526 ha.yr-1) is 1.87 times higher than the LFC rate (2,415 ha.yr-1). Through a comparative analysis between the cartography of GFC and CFC, it was possible to identify that 19.2% of the differences correspond to phenological changes (leaf fall deciduous, greenness variation, or alteration of the biomass due to eventual changes in humidity). 31.3% by Landsat spatial resolution limitations, 3.8% occurs in changes by industrial plantations, 11.6% of the differences can reduce by eliminating the GFC residuals outside the forest FAO definition (changes less than 0.5 ha), 7.4% of the differences correspond to atmospheric noise in the interpreted images, 6.8% to visual omissions and 19.9% there are no changes by interpretation. The cartographic adjustment of GFC by CFC is relatively fast (1,000 ha.hr-1 per photointerpreter-expert). Its implementation improves the spatial coherence, periodicity, and legibility of the areas of change, strengthening the relevance of both systems in local policy decisions. Cartographic results of this work are available at http://selvalacandona.ecosur.ourecosystem.com Keywords: Selva Lacandona; Critical Forest Change; Global Forest Change; Forest Monitoring; Deforestation. ID: 3624121 -
DocumentProgramme / project reportRelationship between forest fragmentation patterns and deforestation: the case of the Brazilian Amazon
XV World Forestry Congress, 2-6 May 2022
2022Also available in:
No results found.Deforestation in the Brazilian Amazon is the result of social, economic, and political pressures and its rates swing accordingly. Deforestation can lead to forest fragmentation, which may mask other negative impacts. Forest fragmentation classes resulting from a Morphological Spatial Pattern Analysis (MSPA) help to establish the spatial distribution of a fragmented landscape. However, the behavior of these classes and their association with deforestation has been little studied. To address this issue, we proposed the analyses of the diversity of fragmentation classes as an indicator of forest fragmentation trajectory over time. We used Shannon's diversity index and MSPA on land-use changes and vegetation cover data to identify the evolution of fragmented forest classes for the period 1985 - 2018. The diversity of the classes was obtained for each year using TraMineR. This value was compared with the cumulated deforestation rate from 1988 to 2018. A correlation analysis was carried out to establish the relationship between diversity of fragmentation classes and deforestation. During the studied period, all but one class of fragmentation increased. Diversity increased over the years with a mean of 0.41 ± 0.07 (range 0.27 to 0.50), even during periods of reduced deforestation. The high correlation between cumulated deforestation and diversity (R^2 = 0.98), indicated the impact on the fragmentation patterns. Specific actions are needed to reduce forest fragmentation beyond those to curb Amazon deforestation. Keywords: Landscape management, Monitoring and data collection, Research ID: 3480574
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Book (stand-alone)Technical bookThe future of food and agriculture - Trends and challenges 2017
Also available in:
No results found.What will be needed to realize the vision of a world free from hunger and malnutrition? After shedding light on the nature of the challenges that agriculture and food systems are facing now and throughout the 21st century, the study provides insights into what is at stake and what needs to be done. “Business as usual” is not an option. Major transformations in agricultural systems, rural economies, and natural resources management are necessary. The present study was undertaken for the quadrennial review of FAO’s strategic framework and for the preparation of the Organization Medium-Term plan 2018-2021. -
Book (series)FlagshipThe State of Food Security and Nutrition in the World 2021
Transforming food systems for food security, improved nutrition and affordable healthy diets for all
2021In recent years, several major drivers have put the world off track to ending world hunger and malnutrition in all its forms by 2030. The challenges have grown with the COVID-19 pandemic and related containment measures. This report presents the first global assessment of food insecurity and malnutrition for 2020 and offers some indication of what hunger might look like by 2030 in a scenario further complicated by the enduring effects of the COVID-19 pandemic. It also includes new estimates of the cost and affordability of healthy diets, which provide an important link between the food security and nutrition indicators and the analysis of their trends. Altogether, the report highlights the need for a deeper reflection on how to better address the global food security and nutrition situation.To understand how hunger and malnutrition have reached these critical levels, this report draws on the analyses of the past four editions, which have produced a vast, evidence-based body of knowledge of the major drivers behind the recent changes in food security and nutrition. These drivers, which are increasing in frequency and intensity, include conflicts, climate variability and extremes, and economic slowdowns and downturns – all exacerbated by the underlying causes of poverty and very high and persistent levels of inequality. In addition, millions of people around the world suffer from food insecurity and different forms of malnutrition because they cannot afford the cost of healthy diets. From a synthesized understanding of this knowledge, updates and additional analyses are generated to create a holistic view of the combined effects of these drivers, both on each other and on food systems, and how they negatively affect food security and nutrition around the world.In turn, the evidence informs an in-depth look at how to move from silo solutions to integrated food systems solutions. In this regard, the report proposes transformative pathways that specifically address the challenges posed by the major drivers, also highlighting the types of policy and investment portfolios required to transform food systems for food security, improved nutrition, and affordable healthy diets for all. The report observes that, while the pandemic has caused major setbacks, there is much to be learned from the vulnerabilities and inequalities it has laid bare. If taken to heart, these new insights and wisdom can help get the world back on track towards the goal of ending hunger, food insecurity, and malnutrition in all its forms. -
BookletCorporate general interestEmissions due to agriculture
Global, regional and country trends 2000–2018
2021Also available in:
No results found.The FAOSTAT emissions database is composed of several data domains covering the categories of the IPCC Agriculture, Forestry and Other Land Use (AFOLU) sector of the national GHG inventory. Energy use in agriculture is additionally included as relevant to emissions from agriculture as an economic production sector under the ISIC A statistical classification, though recognizing that, in terms of IPCC, they are instead part of the Energy sector of the national GHG inventory. FAO emissions estimates are available over the period 1961–2018 for agriculture production processes from crop and livestock activities. Land use emissions and removals are generally available only for the period 1990–2019. This analytical brief focuses on overall trends over the period 2000–2018.