6533b7d0fe1ef96bd125a187
RESEARCH PRODUCT
SELECTING HERB-RICH FOREST NETWORKS TO PROTECT DIFFERENT MEASURES OF BIODIVERSITY
Markku KuitunenJukka SuhonenI Kati NattinenKaija M. Virolainensubject
Ecologybusiness.industryEcologyHeuristic (computer science)Environmental resource managementBiodiversityBiologyData setPhylogenetic diversityComplementarity (molecular biology)Species richnessbusinessSelection algorithmSelection (genetic algorithm)description
Data on vascular plants of herb-rich forests in Finland were used to compare the efficiency of reserve selection methods in representing three measures of biodiversity: species richness, phylogenetic diversity, and restricted-range diversity. Comparisons of reserve selection methods were carried out both with and without consideration of the existing reserve system. Our results showed that the success of a reserve network of forests in representing different measures of biodiversity depends on the selection procedure, selection criteria, and data set used. Ad hoc selection was the worst option. A scoring procedure was generally more efficient than maximum random selection. Heuristic methods also appeared to be efficient. Each biodiversity measure can be used as a criterion for a selection algorithm and as a measure of efficiency of protection at the network level. The results indicate that different measures of biodiversity should be taken into account. For instance, phylogenetic diversity of a network wa...
year | journal | country | edition | language |
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2001-04-01 | Ecological Applications |