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Pattern of urban forest changes in a volcano neo-tropical city

XV World Forestry Congress, 2-6 May 2022









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    Article
    Ecohydrology-based management as a tool for preventing wildfires in the Mediterranean urban interface area
    XV World Forestry Congress, 2-6 May 2022
    2022
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    The adaptation to climate change of forest areas with intense anthropic pressure requires innovative management models characterized by an increasingly efficient use of available resources. In Mediterranean areas, the most intense and persistent droughts alter the water relations in the soil-plant-atmosphere (SPA) continuum and therefore the flammability of the vegetation and the risk of wildfires. The main aim of this work is to present the potential of using detailed information characterizing the SPA for estimating key variables used for forest fire prevention. To this end, physiological, ecohydrological and meteorological measurements (water potential, soil/plant water content, sap flow, etc.) are carried out to model the response of live fuel moisture content (LFMC) to environmental conditions in representative Aleppo pine plots located in a forested area close to Valencia city (Spain). In addition, spectral indexes estimated from Sentinel bands (NDVI, EVI, NDMI, MSI, RGR, BSI and NDWI) are also tested for obtaining the spatio-temporal dynamics of LFMC at the forestscale. The results show the importance of assessing LFMC along the entire hydrological year due to its variation with phenology: minimum values are obtained at the beginning of spring (81.3%, 64mm of soil water content in the profile and 0.2Kpa of VPD) vs. 90.1% during the driest environmental (summer) conditions (18mm of soil water content and 1.9Kpa of VPD). Combining physiological and environmental predictors provides good estimations of LFMC (R 2 >0.70-0.84 in several cases). In addition, RGR, BSI and NDWI indexes are found to be promising predictors of LFMC (R2= 0.7). Efforts such as the one presented here to link a detailed SPA characterization with fire prevention are innovative and emerging, but also necessary when realistic estimations of LFMC dynamics are required. Particularly, our results will serve to improve the forest management of Mediterranean forests, allowing for the precise prediction and identification of forest wildfire behavior and risk thresholds (from surface fire to crown fire), but also the design of optimum irrigation schemes to decrease the risk of crown fires as those with the highest negative impacts. Keywords: live fuel moisture content; ecohydrology; fire weather index; wildland-urban interface; sapflow ID: 3623757
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    Article
    Degradation of the vegetation cover in the White Nile State (Elgetaina Area)
    XV World Forestry Congress, 2-6 May 2022
    2022
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    The study was carried out in, White Nile State (East of Elgetaina town) during 2004- 2006. The selected site was dominated by Capparis decidua shrubs and Panicum tergidum grasses. The main objectives of the study were to investigate the limitation for natural regeneration of vegetation cover by studying the variation in rainfall amount and distribution, evaluating the soil properties and assessing the soil seed bank. The study aimed to suggest some measures to enhance the natural regeneration of the vegetation cover. The site was divided into four Blocks. Soil samples were taken from each Block, soil seed bank and soil chemical properties were determined. In addition, the vegetation density was estimated for each Block for trees, shrubs and grasses. Satellite imageries were used to monitor the change in the vegetation cover (Land uses and bare area maps). The results showed that the mean annual rainfall and distribution for the period 1987-2005, and soil seed bank has little effect on degradation of vegetation cover in the study area, and that the main cause of vegetation cover degradation is the deteriorated soil properties. The high sodicity/salinity reduced the seeds germination and the infiltration rate of the soil and most of rainfall is lost as runoff. Most of the study area is now bare (no vegetation). The study recommended use of water harvesting methods, soil reclamation with organic and inorganic materials and enrichment of soil seed bank for rehabilitation of the vegetation cover. Key words: soil reclamation, Sodicity, salinity, soil seed bank ID: 3473098
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    JORDAN - Land Cover Atlas 2019
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    The Jordanian Land Cover Database and Atlas were developed under the Regional Food Security Analysis Network (RFSAN) project. The main objective of the project is to increase and improve provision of goods and services from agriculture, forestry and fisheries in a sustainable manner as well as to increase the understanding of the bio-physical conditions of land in Jordan. The Land Cover Atlas of the Hashemite Kingdom of Jordan provides information on the land cover distribution by sub-national administrative boundaries (governorates and districts) provided by the Royal Geographic Centre (RJGC). The Land Cover Database is compliant with the ISO\FAO standard (ISO 19144-2:2012) based on the land cover classification system (LCCS): Land Cover Meta Language (LCML). LCML was implemented to support the standardization and integration of a national land cover classification system across the world. It provides a set of standard diagnostic attributes that are independent of the scale of interpretation. Its use advocates for a more transparent and comparable way of reporting land cover information. The LCML land cover legend was designed with the software LCCSv3. The main data source includes multispectral Sentinel-2 imagery at 10 m of spatial resolution acquired from April to November 2016 and ancillary georeferenced data (land cover and land use map, vegetation cover, soil map) obtained from different institutions. Sentinel-2 imagery were pre-processed and mosaicked to provide a temporal sequence of free-cloud, calibrated images. Then, an Object-Based Image Analysis workflow was applied to segment the images into homogeneous polygons, that were interpreted according to their spectral, texture and shape characteristics supported by vegetation indices and ancillary datasets. Post-processing finally removed incoherent classifications, clipping and dissolving polygons to official boundaries. The final database comprises 1 million polygons classified according to the LCCS Legend distinguished into 34 classes (23 aggregated classes). The statistical analysis of land cover aggregated class distribution is organized into two sections: • National Land Cover Data Base (LCDB). • LCDB by governorates. This work represents a substantial contribution to understanding land cover and land processes in the Hashemite Kingdom of Jordan and provides valuable baseline data to further monitor land changes in the future.

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