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Critical review of landscape-based surrogate measures of plant diversity

Dados Bibliográficos

ID14622650
AutoresBarbara Sowińska-Świerkosz (0000-0002-0276-7809, University of Life Sciences in Lublin, autor correspondente)
Ano2020
Volume45
Fascículo7
Páginas819-840
Data de publicação2020-10-02
Open AccessNão
TipoARTICLE
PeriódicoLandscape Research (JOURNAL)
Identificadores do periódicoISSN: 0142-6397 • E-ISSN: 1469-9710
EditoraInforma UK Limited (PUBLISHER • GB)
DOI10.1080/01426397.2020.1795095
OpenAlexW3080633141
IdiomaEN
Referências citadas93

Landscape-based surrogate measures are commonly used to measure plant diversity, however, the difference between predicted diversity and field measures raises doubts about their effectiveness. A review of the literature was performed to address this (115 studies first evaluations, 61 second evaluations) to establish the types of surrogates used, their usefulness and factors affecting their prediction power. Three types of indicators were detected: landscape metrics, indicators based on the variability of spectral data and geomorphometric indices. The most effective indicators were slope, altitude, elevation, percentage of land cover (PLAND) and edge density (ED), as well as diverse distance metrics. Spectral data, shape index (SHAPE), patch area (PA) and the Shannon diversity index (SHDI) were less useful. Four possible explanatory variables for the effectiveness of surrogates were identified: landscape type analysed, species (taxa) examined, habitat quality and scale of research

Agriculture · Archaeology · Environmental planning · Environmental research · Environmental resource management · Geography · Botany and Plant Ecology Studies · Ecology · Environmental Science · Integrated Water Resources Management · Plant Ecology and Soil Science

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