A dataset of 577 marginal and peripheral forest tree populations in Europe
Authors/Creators
-
Fady Bruno1
- Božič Gregor2
- Ducousso Alexis1
- Berthold Heinze3
- Eliades Nicolas-George4
- Sbay Hassan5
- Ballian Dalibor6
- Gömöry Dušan7
- Kelleher Colin8
- Ladier Jean9
- Danusevicius Darius10
- Ducci Fulvio11
- Bou Dagher Kharrat Magda12
- Markiewicz Piotr13
- Malvolti Maria Emilia14
- David-Schwartz Rakefet15
- Westergren Marjana2
- Vendramin Giovanni G.14
- Myking Tor16
- Alizoti Evi17
- Medak Jasnica18
- Kraigher Hojka2
- Aravanopoulos Filippos A. (Phil)17
- Máchová Pavlína19
- Perić Sanja20
- Mattioni Claudia14
- Fiorella Villani14
- 1. INRAE France
- 2. GOZDIS Slovenia
- 3. Austrian Federal Research Centre for Forests
- 4. Frederick Universty Cyprus
- 5. Institut National de la Recherche Forestière (Maroc)
- 6. Forest Research Bosnia and Herzegovina
- 7. Technická univerzita vo Zvolene Slovakia
- 8. OPW Ireland
- 9. ONF France
- 10. Vytautas Magnus University Lithuania
- 11. CREA Italy
- 12. Faculté des sciences, Beyrouth, Liban
- 13. Regionalna Dyrekcja Lasów Państwowych w Warszawie, Poland
- 14. CNR Italy
- 15. Volcani Center Israel
- 16. NIBIO Norway
- 17. Aristotle University of Thessaloniki, Greece
- 18. Division for Forest Ecology, Croatia
- 19. VULHM, Czechia
- 20. SUMINS, Croatia
Description
This dataset is the result of a survey conducted during the 2012-2016 COST Action FP1202 (MaP-FGR): Strengthening conservation: a key issue for adaptation of marginal/peripheral populations of forest trees to climate change in Europe. It contains the name, location and other relevant information of 577 forests that are considered as marginal of peripheral by forest experts.
Information (as specified in the read-me file) includes among others: Genus, Species, Country, Name of marginal population, Latitude, Longitude, Elevation, Type of marginality, Silvicultural system, Protection status, Threat status, and genetic and phenotypic trait data availability
This dataset can be used to, e.g., test effects of marginality on biological and genetic traits, compare expert knowledge with statistics-based indicators, raise awareness of the importance of marginal populations for conservation and sustainable use.
Notes
Files
Database_expert-knowledge_marginal-populations_archive 2021 05 17.csv
Files
(506.6 kB)
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