Inferences from Common Species Communities for Selecting Conservation Areas

Jiguet, Frédéric; Julliard, Romain

doi:10.1007/s10531-004-1067-3

Cited by 17 publications

(9 citation statements)

References 46 publications

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“…The importance of conserving not only species richness but to focus also on rare and endangered species has been already emphasized by previous authors in different ecosystems (e.g. Obeso and Aedo 1992;Mills and Schwartz 2005;Pearman and Weber 2005).This idea could be related to the notion of complementarity (Pressey et al 1993), which seeks to ensure that selected sites to be protected collectively capture the greatest proportion of the overall diversity in an area (Jiguet and Julliard 2006). In the face of growing threats to biodiversity, we must emphasize the importance of the complete coastal vegetation mosaic comprising all habitats to adequately characterize the plant species diversity of coastal dune ecosystems.…”

Section: Discussionmentioning

confidence: 99%

Are there habitats that contribute best to plant species diversity in coastal dunes?

2008

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The following paper describes patterns of diversity across major habitat types in a relatively well\ud preserved coastal dune system in central Italy. The research addresses the following questions: (a) whether different\ud habitats defined on the base of a land cover map support similar levels of biodiversity in terms of vascular flora\ud richness and number of rare and endangered species, and (b) how each habitat contributes to the total species\ud diversity of the coastal environment. A random stratified sampling approach based on a detailed land cover map was\ud applied to construct rarefaction curves for each habitat type and to estimate total species richness. In addition, the\ud number of exclusive, rare and endangered species was calculated for each habitat type. Results highlight the\ud importance of the coastal dune zonation (embryo-dune, main dune, transition and stabilized dune) in species\ud conservation because they harbour progressively higher species richness. However, differences among these habitats\ud were not significant, so no particular species rich "hotspots" could be evidenced. On the contrary, rarefaction curves\ud show that the upper beach (strand) habitat sustains significantly smaller number of species, but surprisingly, it shows\ud the highest rarity values and highest proportion of endangered species. Therefore, for the establishment of successful\ud biodiversity conservation programs in these coastal environments, it is imperative not only to conserve biologically\ud rich hotspots but also to include species poor habitats containing endangered or unique elements. Thus, the complete\ud coastal vegetation mosaic including all coastal habitats is important to adequately characterize the plant species\ud diversity of coastal dune ecosystems

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Section: Discussionmentioning

confidence: 99%

Are there habitats that contribute best to plant species diversity in coastal dunes?

2008

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“…The conditional probability cumulative distribution function (ccdf) can be modeled using parametric approaches (e.g., a multivariate Gaussian distribution) (Goovaerts, 2001). Recent examples of using geostatistical methods to study bird distribution, species richness, and biodiversity include the works of Diniz-Filho, de Sant'Ana, de Souza, & Rangel (2002), Foster, Tweed, Camp, & Woodworth (2004), Jiguet & Julliard (2006), Walker et al, 2008, andLin et al (2008a).…”

Section: Introductionmentioning

confidence: 99%

Identifying the spatial mixture distribution of bird diversity across urban and suburban areas in the metropolis: A case study in Taipei Basin of Taiwan

Lin

Chang

Chu

et al. 2011

Landscape and Urban Planning

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“…(2005), Godet et al . (2006) and Jiguet & Julliard (2006). Numerous studies have also used geostatistical approaches to design or adjust sampling systems and quantify the information value of sampling data and its variations to improve the accuracy of spatial mapping of environmental or ecological data.…”

Section: Introductionmentioning

confidence: 99%

Geostatistical approaches and optimal additional sampling schemes for spatial patterns and future sampling of bird diversity

Lin

Yeh

Deng

et al. 2007

Global Ecology and Biogeography

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Aim To evaluate geostatistical approaches, namely kriging, co-kriging and geostatistical simulation, and to develop an optimal sampling design for mapping the spatial patterns of bird diversity, estimating their spatial autocorrelations and selecting additional samples of bird diversity in a 2450 km 2 basin. Location Taiwan.Methods Kriging, co-kriging and simulated annealing are applied to estimate and simulate the spatial patterns of bird diversity. In addition, kriging and co-kriging with a genetic algorithm are used to optimally select further samples to improve the kriging and co-kriging estimations. The association between bird diversity and elevation, and bird diversity and land cover, is analysed with estimated and simulated maps. ResultsThe Simpson index correlates spatially with the normalized difference vegetation index (NDVI) within the micro-scale and the macro-scale in the study basin, but the Shannon diversity index only correlates spatially with NDVI within the micro-scale. Co-kriging and simulated annealing simulation accurately simulate the statistical and spatial patterns of bird diversity. The mean estimated diversity and the simulated diversity increase with elevation and decrease with increasing urbanization. The proposed optimal sampling approach selects 43 additional sampling sites with a high spatial estimation variance in bird diversity.Main conclusions Small-scale variations dominate the total spatial variation of the observed diversity due to a lack of spatial information and insufficient sampling. However, simulations of bird diversity consistently capture the sampling statistics and spatial patterns of the observed bird diversity. The data thus accumulated can be used to understand the spatial patterns of bird diversity associated with different types of land cover and elevation, and to optimize sample selection. Co-kriging combined with a genetic algorithm yields additional optimal sampling sites, which can be used to augment existing sampling points in future studies of bird diversity.

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Inferences from Common Species Communities for Selecting Conservation Areas

Cited by 17 publications

References 46 publications

Are there habitats that contribute best to plant species diversity in coastal dunes?

Are there habitats that contribute best to plant species diversity in coastal dunes?

Identifying the spatial mixture distribution of bird diversity across urban and suburban areas in the metropolis: A case study in Taipei Basin of Taiwan

Geostatistical approaches and optimal additional sampling schemes for spatial patterns and future sampling of bird diversity

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