2009
DOI: 10.1007/s10750-009-9899-1
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The M-NIP: a macrophyte-based Nutrient Index for Ponds

Abstract: In Swiss ponds, eutrophication represents one of the major threats to biodiversity. A biological method to assess the trophic state would, therefore, be particularly useful for monitoring purposes. Macrophytes have already been successfully used to evaluate the trophic state of rivers and lakes. Considering their colonizing abilities and their roles in pond ecosystem structure and function, macrophytes should be included in any assessment methods as required by the European Water Framework Directive. Vegetatio… Show more

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Cited by 14 publications
(5 citation statements)
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“…The absolute number of species or communities does not exhibit a clear negative response to eutrophication pressure, as its response curve along the phosphorus gradient was found to be unimodal with the highest number of plant species found in habitats ranging from mesotrophic to eutrophic environments and the lowest in both nutrient-poor and nutrient-rich conditions (Rørslett 1991; Toivonen and Huttunen 1995; Murphy 2002; Penning et al 2008). Quantitative ratios between functional species groups (sensitive to tolerant taxa) are used effectively in many European methods (Schaumburg et al 2004; Penning et al 2008; Sager and Lachavanne 2009), but are of limited value in studies of Polish lakes. Ecosystems with naturally eutrophic, calcium-rich waters are colonised mainly by eurytopic species with a relatively wide ecological amplitude and similar habitat requirements, but they are largely devoid of species that are particularly sensitive to eutrophication, which minimises the effectiveness of the above ratios.…”
Section: Discussionmentioning
confidence: 99%
“…The absolute number of species or communities does not exhibit a clear negative response to eutrophication pressure, as its response curve along the phosphorus gradient was found to be unimodal with the highest number of plant species found in habitats ranging from mesotrophic to eutrophic environments and the lowest in both nutrient-poor and nutrient-rich conditions (Rørslett 1991; Toivonen and Huttunen 1995; Murphy 2002; Penning et al 2008). Quantitative ratios between functional species groups (sensitive to tolerant taxa) are used effectively in many European methods (Schaumburg et al 2004; Penning et al 2008; Sager and Lachavanne 2009), but are of limited value in studies of Polish lakes. Ecosystems with naturally eutrophic, calcium-rich waters are colonised mainly by eurytopic species with a relatively wide ecological amplitude and similar habitat requirements, but they are largely devoid of species that are particularly sensitive to eutrophication, which minimises the effectiveness of the above ratios.…”
Section: Discussionmentioning
confidence: 99%
“…This was already done for lakes (Stelzer et al 2005). Recently, standardised assessment tools for ponds were developed Indermuehle et al 2010;Sager and Lachavanne 2009), which consider reference conditions for ponds in general. But existing tools and protection strategies in Germany and other European countries are still inadequately specific with respect to potential habitat functions of kettle hole or pond types.…”
Section: Implication For Conservation and Managementmentioning
confidence: 99%
“…The values obtained with the other 17 SSLs were used for data validation tests. Then, 7 descriptors were selected to identify the effects of the sampling method on macrophyte communities: (1) total floristic richness -a synthetic but quantitative picture of biodiversity -, (2) the Shannon diversity index, (3) the median conservation value according to the national red list, (4) the M-NIP trophic index (Sager and Lachavanne 2009), ( 5) the percent coverage of submerged species (spermatophytes + Characeae + bryophytes + ferns), ( 6) the percentage of exotic species, and ( 7) the richness in 'infrequent species' (difficult to observe because their coverage is < 1% in mapped inventories). The median conservation value was calculated using the species rarity index (SRI) as follows:…”
Section: Comparison Of the Sampling Designsmentioning
confidence: 99%