NantelBouchardBrouilletEtAl1998

Référence

Nantel, P., Bouchard, A., Brouillet, L., Hay, S. (1998) Selection of areas for protecting rare plants with integration of land use conflicts: A case study for the West Coast of Newfoundland, Canada. Biological Conservation, 84(3):223-234.

Résumé

On the west coast of Newfoundland (Canada) about 40% of the provincially rare plant species are not protected within the system of three national parks and two ecological reserves existing in the region. This study examines how heuristic algorithms can be used for selecting areas filling this gap while minimizing potential land use conflicts. One algorithm selected 78 areas of 1 km2 each, representing the minimum set of areas that includes all species at least once. Only 13 out of these 78 areas were selected from existing protected areas; therefore, 65 would have to be added to this system to achieve full representation. A second algorithm reduced this number to 55 by seeking, from the beginning, only species not included in existing protected areas. A third algorithm constrained the choice of complementary areas to those that would have the lowest potential for conflicting land use (CLU). With this algorithm, however, full representation of rare plants within protected areas would need 79 areas instead of 55, i.e. trying to minimize the number of potentially conflicting areas entails selecting a significantly larger number of areas to achieve the same conservation goal. An index such as the CLU proposed here adds to the value of heuristic selection algorithms as indicative tools for planning a network of protected areas.

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@ARTICLE { NantelBouchardBrouilletEtAl1998,
    AUTHOR = { Nantel, P. and Bouchard, A. and Brouillet, L. and Hay, S. },
    TITLE = { Selection of areas for protecting rare plants with integration of land use conflicts: A case study for the West Coast of Newfoundland, Canada },
    JOURNAL = { Biological Conservation },
    YEAR = { 1998 },
    VOLUME = { 84 },
    PAGES = { 223-234 },
    NUMBER = { 3 },
    NOTE = { 00063207 (ISSN) Cited By (since 1996): 23 Export Date: 26 April 2007 Source: Scopus CODEN: BICOB doi: 10.1016/S0006-3207(97)00133-X Language of Original Document: English Correspondence Address: Brouillet, L.; Inst. de Recherche Biologie Vegetale; Universite de Montreal; 4101 est, rue Sherbrooke Montreal, Que. HIX 2B2, Canada; email: brouiile@ereumontreal.ca References: Andersen, U.V., Resistance of Danish coastal vegetation types to human trampling (1995) Biol. Conserv., 72, pp. 223-230; Anselin, A., Meire, P.M., Anselin, L., Multicriteria techniques in ecological evaluation: An example using the analytical hierarchy process (1989) Biol. Conserv., 49, pp. 215-229; Argus, G.W., Pryer, K.M., (1990) Rare Vascular Plants in Canada: Our Natural Heritage/Les Plantes Vasculaires Rares Du Canada: Notre Patrimoine Naturel, , Can. Mus. 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    ABSTRACT = { On the west coast of Newfoundland (Canada) about 40% of the provincially rare plant species are not protected within the system of three national parks and two ecological reserves existing in the region. This study examines how heuristic algorithms can be used for selecting areas filling this gap while minimizing potential land use conflicts. One algorithm selected 78 areas of 1 km2 each, representing the minimum set of areas that includes all species at least once. Only 13 out of these 78 areas were selected from existing protected areas; therefore, 65 would have to be added to this system to achieve full representation. A second algorithm reduced this number to 55 by seeking, from the beginning, only species not included in existing protected areas. A third algorithm constrained the choice of complementary areas to those that would have the lowest potential for conflicting land use (CLU). With this algorithm, however, full representation of rare plants within protected areas would need 79 areas instead of 55, i.e. trying to minimize the number of potentially conflicting areas entails selecting a significantly larger number of areas to achieve the same conservation goal. An index such as the CLU proposed here adds to the value of heuristic selection algorithms as indicative tools for planning a network of protected areas. },
    KEYWORDS = { Heuristic selection algorithms Land-use constraints Newfoundland (Canada) Rare plants Reserve network conservation environmental monitoring environmental planning land use conflict plant protected area reserve selection Canada, Newfoundland },
    OWNER = { brugerolles },
    TIMESTAMP = { 2007.12.04 },
}

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