Latest Articles from Biodiversity Data Journal Latest 2 Articles from Biodiversity Data Journal https://bdj.pensoft.net/ Thu, 28 Mar 2024 21:16:06 +0200 Pensoft FeedCreator https://bdj.pensoft.net/i/logo.jpg Latest Articles from Biodiversity Data Journal https://bdj.pensoft.net/ Benthic habitat mapping of Plazh Gradina – Zlatna ribka (Black Sea) and Karpathos and Saria Islands (Mediterranean Sea) https://bdj.pensoft.net/article/71972/ Biodiversity Data Journal 9: e71972

DOI: 10.3897/BDJ.9.e71972

Authors: Stamatina Nikolopoulou, Dimitar Berov, Stefania Klayn, Lyubomir Dimitrov, Kiril Velkovsky, Eva Chatzinikolaou, Giorgos Chatzigeorgiou, Ventzislav Karamfilov, Christina Pavloudi

Abstract: Habitat mapping is nеcessary for the efficient conservation and protection of marine ecosystems. In addition, it is a requirement for EU Member States as stated in the European Union (EU) Habitats Directive (92/43/EEC), as well as necessary for the achievement and maintenance of 'good environmental status (GES)' of benthic marine habitats in the framework of the EU Marine Strategy Framework Directive (2008/56/EC).This study provides baseline information on the marine benthic habitats of Sozopol Bay (Black Sea) and Karpathos and Saria islands (Mediterranean Sea). These two Natura 2000 sites were selected as study sites of the RECONNECT project, which aimed at creating a transnational cooperative network to confront the environmental threats of ecosystems with a high natural and cultural interest, by the establishment of common practices and a joint regional strategy. The specific objective was to map the marine habitats using a defined a priori classification (EUNIS), with the ultimate purpose of supporting government marine spatial planning, management and decision-making processes through the development of a Decision Support System.

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Data Paper Mon, 23 Aug 2021 16:15:00 +0300
spind: an R Package to Account for Spatial Autocorrelation in the Analysis of Lattice Data https://bdj.pensoft.net/article/20760/ Biodiversity Data Journal 6: e20760

DOI: 10.3897/BDJ.6.e20760

Authors: Gudrun Carl, Sam Levin, Ingolf Kühn

Abstract: spind is an R package aiming to provide a useful toolkit to account for spatial dependence in the analysis of lattice data. Grid-based data sets in spatial modelling often exhibit spatial dependence, i.e. values sampled at nearby locations are more similar than those sampled further apart. spind methods, described here, take this kind of two-dimensional dependence into account and are sensitive to its variation across different spatial scales. Methods presented to account for spatial autocorrelation are based on the two fundamentally different approaches of generalised estimating equations as well as wavelet-revised methods. Both methods are extensions to generalised linear models. spind also provides functions for multi-model inference and scaling by wavelet multiresolution regression. Since model evaluation is essential for assessing prediction accuracy in species distribution modelling, spind additionally supplies users with spatial accuracy measures, i.e. measures that are sensitive to the spatial arrangement of the predictions. 

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R Package Wed, 28 Feb 2018 14:19:17 +0200