Please use this identifier to cite or link to this item:https://hdl.handle.net/20.500.12259/89885
Type of publication: Tezės kituose recenzuojamuose leidiniuose / Theses in other peer-reviewed publications (T1e)
Field of Science: Agronomija / Agronomy (A001)
Author(s): Juknys, Romualdas;Kanapickas, Arvydas;Sujetovienė, Gintarė;Klepeckas, Martynas;Velička, Rimantas;Kriaučiūnienė, Zita;Vagusevičienė, Ilona;Pupalienė, Rita;Masilionytė, Laura
Title: Long-term changes in duration of vegetation season of winter wheat under climate warming in north Lithuania
Is part of: Long-term Agroecosystem Sustainability: Links between Carbon Sequestration in Soils, Food Security and Climate Change : International scientific conference : AgroEco2016 : Programme and abstracts. Akademija, 2016
Extent: p. 31-32
Date: 2016
Keywords: Winter wheat;Vegetation season;Dormancy;Thermal time;Climate change scenarios;Phenological projection
ISBN: 978-609-449-104-7
Abstract: The rebirth of phenology is a specific feature of the last decades and recently phenological observations usually are treated as a source of the most sensitive data of plant response to climate change. The objective of this study is to examine climate warming related the long term (1961–2015) changes in duration of both – initial (pre-winter) and main (post-winter ) winter wheat vegetation seasons, and to present projections of future phenological changes. The data of long-term agricultural investigations (1961-2015) which include phenological observations and were performed in Joniškėlis Experimental Station of the Lithuanian Research Centre for Agriculture and Forestry were used for this study. The latest generation of climate change scenarios which are based on the Representative Concentration Pathways (RCPs) approach is used to project annual and monthly temperature for the near (2011–2040), middle (2041–2070) and far (2071–2100) future. This study covers two (optimistic and pessimistic) scenarios for future concentrations of greenhouse gases and future climate conditions simulated by five Global Circulation Models (GCM). Phenological projection is based on thermal accumulation approach, “leave one out” is applied for the cross validation of phenological model
Internet: https://hdl.handle.net/20.500.12259/89885
Affiliation(s): Aplinkotyros katedra
Fizikos katedra
Gamtos mokslų fakultetas
Lietuvos agrarinių ir miškų mokslų centras, Joniškėlio bandymų stotis
Vytauto Didžiojo universitetas
Žemės ūkio akademija
Appears in Collections:Universiteto mokslo publikacijos / University Research Publications

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