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This research evaluates the overall air pollution in the Skikda region, the capital of petrochemicals in northeastern part of Algeria, we used a qualitative method based on the census and geographical distribution of the lichen flora corticolous according pink pollution in the study area combined with mapping. It is essential to know some biophysical factors, such as climate and the tree flora (lichen substrate or phorophyte) to better understand their influence on the distribution of lichens in different stations. Thus, 39 lichen species have been identified in 8 sites established as a zoning that takes into account their exposure to different sources of emanation. The census results of the lichen flora of the Skikda region and its periphery have shown that the number and rate of recovery is closely linked to the degree of pollution. This finding is remarkable in the field by reducing the number of species and their recovery rate when the overall pollution is diffuse is important.
", "languages": [ { "id": "eng", "title": { "en": "English" } } ], "publication_date": "2016-09-30", "publisher": "Zenodo", "resource_type": { "id": "publication-article", "title": { "de": "Zeitschriftenartikel", "en": "Journal article" } }, "rights": [ { "description": { "en": "The Creative Commons Attribution license allows re-distribution and re-use of a licensed work on the condition that the creator is appropriately credited." }, "icon": "cc-by-icon", "id": "cc-by-4.0", "props": { "scheme": "spdx", "url": "https://creativecommons.org/licenses/by/4.0/legalcode" }, "title": { "en": "Creative Commons Attribution 4.0 International" } } ], "subjects": [ { "subject": "cartography, pollution, lichen, Skikda \u2013 Algeria" } ], "title": "Bio-Qualitative Estimation of Diffused Air Pollution of a City in North-Eastern Algeria by Using Epiphytic Lichens", "version": "1" }, "parent": { "access": { "owned_by": { "user": 49725 } }, "communities": {}, "id": "1321608", "pids": { "doi": { "client": "datacite", "identifier": "10.5281/zenodo.1321608", "provider": "datacite" } } }, "pids": { "doi": { "client": "datacite", "identifier": "10.5281/zenodo.1321609", "provider": "datacite" }, "oai": { "identifier": "oai:zenodo.org:1321609", "provider": "oai" } }, "revision_id": 4, "stats": { "all_versions": { "data_volume": 11184512.0, "downloads": 59, "unique_downloads": 56, "unique_views": 68, "views": 68 }, "this_version": { "data_volume": 11184512.0, "downloads": 59, "unique_downloads": 56, "unique_views": 65, "views": 65 } }, "status": "published", "updated": "2020-01-20T15:33:08.018070+00:00", "versions": { "index": 1, "is_latest": true } }