Utilize este identificador para referenciar este registo: https://hdl.handle.net/10316/113131
Título: Identifying Optimal Cell Size for Geodiversity Quantitative Assessment with Richness, Diversity and Evenness Indices
Autor: Lopes, Catarina
Teixeira, Zara 
Pereira, Diamantino I. 
Pereira, Paulo
Palavras-chave: grid system; geodiversity quantitative assessment; cell size; diversity indices
Data: 2023
Editora: MDPI
Projeto: UI/BD/150805/2020 
UIDB/04683/2020 
UIDB/04292/2020 
LA/P/0069/2020 
Título da revista, periódico, livro ou evento: Resources
Volume: 12
Número: 6
Resumo: The importance of quantitatively assessing the spatial patterns of geodiversity, and their intrinsic relationship with biodiversity and the ecosystem services provided to society, has been signalized by several authors, due to the relevance of this information in territorial management, the planning of environmental and conservation strategies. Within geodiversity method assessments, the grid system is the most widely used GIS spatial approach to calculate a geodiversity index. Preferred for its simplicity, it implies the fundamental decision of choosing the scale of the analysis, defined by the selection of cell size, determinant for the accuracy and correctness of the final maps. Although this topic has been occasionally approached by some authors within geodiversity assessments, there is no formal procedure for cell size selection. This is a key issue, and, in the scope of the present work, an empirical procedure to select optimal cell size(s) was tested on the national scale in Portugal, in lithology and geomorphology datasets. The quantitative method based on geodiversity indices was applied, using richness, diversity and evenness indices, in a hexagonal analytical grid, through eight cell dimensions. Several descriptive statistical parameters were analyzed, with particular emphasis on dispersion statistical measures. Optimal cell size corresponded to the minimum cell size, once dispersion values were significatively reduced or stabilized, and distributions from evenness and diversity indices were closer to symmetry, which provided more accurate results and higher spatial differentiation, although the final decision should always consider the main purposes of the analysis.
URI: https://hdl.handle.net/10316/113131
ISSN: 2079-9276
DOI: 10.3390/resources12060065
Direitos: openAccess
Aparece nas coleções:FCTUC Ciências da Vida - Artigos em Revistas Internacionais
I&D MARE - Artigos em Revistas Internacionais

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