1. Marginality indices for biodiversity conservation in forest trees
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Nicolas Picard, Maurizio Marchi, Maria Jesus Serra-Varela, Marjana Westergren, Stephen Cavers, Eduardo Notivol, Andrea Piotti, Paraskevi Alizoti, Michele Bozzano, Santiago C. González-Martínez, Delphine Grivet, Filippos A. Aravanopoulos, Giovanni Giuseppe Vendramin, Fulvio Ducci, Bruno Fady, Ricardo Alía, European Commission, Ministero dell'Istruzione, dell'Università e della Ricerca, Slovenian Research Agency, 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, and Alía, Ricardo
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Ecology ,Environmental indices ,recursos genéticos forestales ,hipoteza centra in periferije, okoljski indikatorji, geografski indikatorji, indikatorji migracij, In situ varovanje genskih virov, marginalne populcije, periferne populacije ,Peripheral populations ,General Decision Sciences ,centre-periphery hypothesis, environmental indices, geographical indices, migration indices, marginal populations, peripheral populations, in situ genetic conservation ,Marginal populations ,Biodiversidad ,Ecology and Environment ,Árboles forestales ,In situ genetic conservation ,Centre-periphery hypothesis ,Geographical indices ,udc:630*1 ,Ecology, Evolution, Behavior and Systematics ,Migration indices - Abstract
11 Pág. Instituto de Ciencias Forestales (ICIFOR), 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., This article is based upon work from COST Action FP1202 “Strengthening conservation: a key issue for adaptation of marginal/peripheral populations of forest trees to climate change in Europe” (MaP-FGR), supported by COST (European Cooperation in Science and Technology). RA, DG and EN have been partially supported by the Project AEG 17–048 established in the frame of the measure 15.2 and under Regulation (EU) No 1305/2013 of the European Parliament and of the Council of 17 December 2013 on support for rural development by the European Agricultural Fund for Rural Development (EAFRD) with 75% co-financing. MM, AP and GGV have been partially supported by resources available from the Italian Ministry of University and Research (FOE-2019) under the project “Climate Change” (CNR DTA.AD003.474). MW was supported by Slovenian Research Agency, research core funding No. P4-0107. The research has also been partially financed by the H2020 projects B4EST (Grant Nr. 773383) and FORGENIUS (Grant Nr. 862221).
- Published
- 2022
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