Predicting GPP in Carpathian Beech Forests: Uncovering spatial and temporal patterns using a regression model with climatic, topographic and additional features

Number of the records: 1

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SYSNO	0601463
Title	Predicting GPP in Carpathian Beech Forests: Uncovering spatial and temporal patterns using a regression model with climatic, topographic and additional features
Author(s)	Missarov, A. (CZ) Kašpar, J. (CZ) Král, K. (CZ) Brovkina, Olga (UEK-B) [VS2]_{RID, SAI, ORCID} Švik, Marian (UEK-B) [VS2]_{SAI, RID, ORCID}
Source Title	Predicting future trends – responses of beech and fir in the Carpathian region. S. 67-71. - Lublaň : Slovenian Forestry Institute, The Silva Slovenica Publishing Centre, 2024 / Čater Matjaž ; Dařenová Eva
Conference	Predicting future trends – responses of beech and fir in the Carpathian region, 05.09.2024 - 05.09.2024, Ljublaň
Document Type	Konferenční příspěvek (zahraniční konf.)
Grant	GF21-47163L GA ČR - Czech Science Foundation (CSF), CZ - Czech Republic
Institutional support	UEK-B - RVO:86652079
Language	eng
Country	SI
Keywords	gross primary product * remote sensing * regression model * temperature * precipitation * digital elevation model
Permanent Link	https://hdl.handle.net/11104/0358630

	File	Download	Size	Commentary	Version	Access
	Predicting future trends – responses of.pdf	0	8.8 MB		Publisher’s postprint	open-access

Number of the records: 1