The aim of this study was to provide a simple, cost-effective, risk-based map of terrestrial areas in Ireland where environmental quality may be at risk from atmospheric ammonia. This risk-based approach identifies Natura 2000 sites in Ireland at risk from agricultural atmospheric ammonia, collating best available data using Geographical Information Systems (GIS). In mapping ammonia risk on sensitive habitats (MARSH), the method identifies sources of ammonia, classifying them on a scale of risk from 0 to 5. These sources are subsequently summed based on a weighting determined by their contribution to national emissions divided by their potentially impacted area. A Pearson's correlation coefficient of 0.72 allows for concentrations from United Kingdom's FRAME modelling to be applied to the MARSH model, which are corrected based on recent monitoring. Applying Designation Weighted Indicators (DWI), the MARSH model predicts that 80.7, 34.3 and 5.9% of Natura 2000 sites in Ireland may exceed ambient concentrations of 1, 2, and 3 μg/m, respectively. A Nitroindex map of Ireland based on available lichen records was also developed and is presented as part of this study. This Nitroindex was used to identify areas where impacts have already been recorded, thus informing the classification of sites "at-risk". The combination of both the MARSH and Nitroindex models ascertains which Natura 2000 sites are most at risk, thereby providing valuable data to relevant authorities. The MARSH model acts as a first step towards screening and assessing Natura 2000 sites most at risk from atmospheric ammonia, providing a tool to demonstrate compliance with the National Emissions Ceilings Directive.
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http://dx.doi.org/10.1016/j.scitotenv.2018.08.424 | DOI Listing |
Environ Manage
November 2024
Central Coordination Office of the BMBF-Research Initiative for the Conservation of Biodiversity (FEdA), Senckenberg - Leibniz Institution for Biodiversity and Earth System Research, Senckenberganlage 25, 60325, Frankfurt am Main, Germany.
In Europe, various conservation programs adopted to maintain or restore biodiversity have experienced differing levels of success. However, a synthesis about major factors for success of biodiversity-related conservation programs across ecosystems and national boundaries, such as incentives, subsidies, enforcement, participation, or spatial context, is missing. Using a balanced scorecard survey among experts, we analyzed and compared factors contributing to success or failure of three different conservation programs: two government programs (Natura 2000 and the ecological measures of the Water Framework Directive) and one conservation program of a non-governmental organization (NGO; Rewilding Europe), all focusing on habitat and species conservation.
View Article and Find Full Text PDFAmbio
November 2024
Swedish Coast Guard, Box 536, 371 23, Karlskrona, Sweden.
The transport of non-petroleum substances such as vegetable oils, other bio-based oils and their refined products by chemical tankers is increasing worldwide. The majority of the non-petroleum substances carried by chemical tankers will have detrimental effects on the marine environment if accidentally spilled or discharged during tank washing procedures. Swedish Coast Guard aircrafts detected 233 discharges of floating non-petroleum substances in the Swedish territorial sea and Swedish Exclusive Economic Zone (EEZ) between 2020 and 2023.
View Article and Find Full Text PDFSci Rep
November 2024
Department of Geoinformatics, Cartography and Remote Sensing, Faculty of Geography and Regional Studies, University of Warsaw, Krakowskie Przedmieście 26/28, Warsaw, 00-927, Poland.
Hyperspectral data and machine learning offer great potential for identifying valuable open ecosystems. Due to the large volume of data, preprocessing of hyperspectral images must involve dimensionality reduction. The main goal of this study was to test the effectiveness of various types of feature reduction (feature selection and feature extraction) when performing classification using the Random Forest algorithm.
View Article and Find Full Text PDFMilitary training areas can host important biodiversity, due to the preservation of diverse, nutrient-poor historical cultural landscapes and an insect-friendly disturbance regime. In Europe, many training areas were abandoned after the end of the cold war in 1991 and the withdrawal of the Allied and Soviet forces. Many of these are now protected areas, and current management strategies vary from rewilding to active habitat management such as grazing or mowing.
View Article and Find Full Text PDFOpen Life Sci
September 2024
Department of Physiology and Toxicology, Faculty of Natural Sciences, Kazimierz Wielki University, Chodkiewicza 30, 85-064, Bydgoszcz, Poland.
The lichen-rich pine forests of represent special habitats protected under the Natura 2000 scheme. A rapid decline in their density has been observed in recent years. Macrofungi are an important component of the community and sensitive bioindicators; therefore, observations of the response of their sporocarps can be used to draw conclusions about changes induced in habitats.
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