KAZALCI OKOLJA

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Annual growing season  lenght is increasing almost everywhere in Europe, mostly in Eastern and Northern part. In Slovenia, the length of the annual growing season is increasing, especially since the mid-1990s. According to projections, the duration of the annual growing season throughout Europe will increase in  future. This will affect the expansion of more thermally demanding plants to areas towards the north of Europe, where the cultivation of such plants has not been possible so far, and in the southern part of Europe where changed thermal conditions will allow the growing season to extend towards the winter season.  In all parts of Central and South-Eastern Europe dry and hot summers will hamper crop production.

 


The length of the annual growing season is the period between the day when the average daily air temperature in spring exceeds 5°C and the day when it drops below this value in autumn.

An air temperature of 5°C is generally recognised to be the lowest temperature threshold for plant vegetation. The 5°C temperature threshold is also used as one of the conditions for the classification of agro-ecological zones. In the context of climate change, it enables assessing the impact of changing climate on the development of plants and their environment. This indicator also serves as a tool in preparing for adaptation to new conditions, thus minimising the potential negative impacts of climate change.


Charts

Figure PP06-1: Average length of annual growing age within individual places, Slovenia, reference periods 1961-1990 and 1991-2019
Sources: 

Meteorological data archive, Slovenian Environment Agency (2020)

Show data

1961-1990[number of days]

1991-2019[number of days]

Ljubljana

243

259

Novo mesto

238

252

Bilje

278

283

Slap pri Vipavi

276

288

Murska Sobota

237

246

Maribor

243

252

Rateče

187

204

Figure PP06-2: Changes of length of annual growing age in Ljubljana, 1961-2019
Sources: 

Meteorological data archive, Slovenian Environment Agency (2020)

Show data

growing season[number of days]

5-y running average[number of days]

1961

279

1962

227

1963

249

250.80

1964

256

240.20

1965

243

248.40

1966

226

247.20

1967

268

243

1968

243

241.20

1969

235

245.40

1970

234

245.80

1971

247

240.40

1972

270

238.60

1973

216

244.80

1974

226

243.20

1975

265

244.80

1976

239

252.60

1977

278

256.60

1978

255

248

1979

246

249.40

1980

222

238.20

1981

246

234.60

1982

222

232.40

1983

237

230

1984

235

229.40

1985

210

229.80

1986

243

228

1987

224

231.40

1988

228

241.40

1989

252

240.20

1990

260

252.20

1991

237

251

1992

284

255.60

1993

222

249.80

1994

275

251.60

1995

231

244.60

1996

246

246.20

1997

249

243.40

1998

230

254

1999

261

254

2000

284

260.20

2001

246

261.60

2002

280

263.20

2003

237

256.20

2004

269

261.60

2005

249

258.80

2006

273

259.20

2007

266

262.40

2008

239

263.20

2009

285

258

2010

253

260

2011

247

259

2012

276

264

2013

235

267

2014

310

268

2015

265

268

2016

256

258

2017

272

263

2018

236

2019

285

Figure PP06-3: Timeline of change for the length, beginning and end of growing season in Ljubljana over the 21st century
Sources: 
Chart note: 

The timeline of change is shown for temperature threshold 5 °C for two scenarios relative to the reference period 1981-2010. Bold coloured curves show smoothed model median and lighter colours show model spread. Under RCP4.5 the growing season length will increase by approximately 25 days and under RCP8.5 by approximately 60 days. 

Figure PP06-4: Change in the growing season length , Europe, 1985-2014
Sources: 

EEA, Growing season for agricultural crops (CLIM 030), 2014

Show data

Goals

• To estimate the effect of climate change on the growing season length
• To prepare adaptation measures in the agriculture sector

Annual growing season lenght is an important measure in the field of the climate change adaptation. The first package of the EU Climate Change Adaptation Strategy was presented in 2013. The main objectives of the strategy are to provide a database for better decision-making and to promote adaptation in most vulnerable sectors. 



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