Marginality indices for biodiversity conservation in forest trees. (October 2022)

• Record Type: Journal Article
• Authors: Picard, Nicolas; Marchi, Maurizio; Serra-Varela, Maria Jesus; Westergren, Marjana; Cavers, Stephen; Notivol, Eduardo; Piotti, Andrea; Alizoti, Paraskevi; Bozzano, Michele; González-Martínez, Santiago C.; Grivet, Delphine; Aravanopoulos, Filippos A.; Vendramin, Giovanni Giuseppe; Ducci, Fulvio; Fady, Bruno; Alía, Ricardo
• Is Part Of: Ecological indicators. Volume 143(2022)
• Publication Date: 2022-10
• Subjects: Centre-periphery hypothesis -- Environmental indices -- Geographical indices -- Migration indices -- In situ genetic conservation -- Marginal populations -- Peripheral populations; Environmental monitoring -- Periodicals; Environmental management -- Periodicals; Environmental impact analysis -- Periodicals; Environmental risk assessment -- Periodicals; Sustainable development -- Periodicals; 333.71405
• DOI: 10.1016/j.ecolind.2022.109367
• Languages: English
• ISSNs: 1470-160X

Abstract

Highlights: Marginal and peripheral forest populations are key genetic resources. Expert knowledge on marginality shows subjective perception. Quantitative indices were developed to identify marginal populations. The developed indices are applicable to any species whose distribution is known. Abstract: Marginal and peripheral populations are important for biodiversity conservation. Their original situation in a species' geographic and ecological space often confers them genetic diversity and traits of high adaptive value. Yet theoretical hypotheses related to marginality are difficult to test because of confounding factors that influence marginality, namely environment, geography, and history. There is an urgent need to develop metrics to disentangle these confounding factors. We designed nine quantitative indices of marginality and peripherality that define where margins lie within species distributions, from a geographical, an environmental and a historical perspective. Using the distribution maps of eight European forest tree species, we assessed whether these indices were idiosyncratic or whether they conveyed redundant information. Using a database on marginal and peripheral populations based on expert knowledge, we assessed the capacity of the indices to predict the marginality status of a population. There was no consistent pattern of correlation between indices across species, confirming that the indices conveyed different information related to the specific geometry of the species distributions. Contrasting with this heterogeneity of correlation patterns across species, the relative importance of the indices to predict the marginality status of populations was consistent across species. However, there was still a significant country effect in the marginality status, showing a variation in expert opinion of marginality vis-á-vis the species distribution. The marginality indices that we developed are entirely based on distribution maps and can be used for any species. They pave the way for testing hypotheses related to marginality and peripherality, with important implications in quantitative ecology, genetics, and biodiversity conservation.