PL EN


Preferencje help
Widoczny [Schowaj] Abstrakt
Liczba wyników
Tytuł artykułu

Assessment of spatiotemporal changes of the length and starting date seasons in the west of Iran

Wybrane pełne teksty z tego czasopisma
Identyfikatory
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
There is evidence that human activities are affecting global dynamics. The consequences of changes in the duration of the annual seasons and daily temperatures will imply drastic impacts on human and natural ecosystems. However, estimations related to the duration of the seasons considering the daily temperatures are scarce and could help to foresee negative effects with irreparable consequences. This study investigates the spatiotemporal variation of length and start date of each annual season based on temperature criteria by analyzing daily data of synoptic stations in western Iran from the period 1977–2015. Our results demonstrated that the starting date of summer shows a tendency advanced and the starting date of winter has been delayed. Moreover, spring is coming earlier. On the other hand, winter ends earlier and fall is delayed, with longer summers and shorter winters as a result. The starting date of summer differs from 0 to 2 d advanced in the southwest of the study area and 4–6 d advanced in the central and southeast parts. The starting date of winter on average has been delayed by 2 days and the length of the season has been shortened by 5 days. The changes for spring and fall are relatively smaller. Particularly, spring started earlier by 4.2 days but was extended by 1.8 days, and the fall season has started delayed by 0.8 days but extended by 0.4 days. This study provides simple information to stakeholders and policymakers so that they should focus on the issue and start developing efficient plans to reduce the negative impacts on the temperatures, shorter winters and the earlier spring, which could affect the floriation and animal behaviors among others.
Czasopismo
Rocznik
Strony
2813--2825
Opis fizyczny
Bibliogr. 64 poz.
Twórcy
  • Watershed Research Department, Hamedan Agricultural and Natural Resources Research and Education Center, AREEO, Hamedan, Iran
  • WRAM Research Lab Pvt. Ltd., Nagpur, Maharashtra 440027, India
  • Agricultural Engineering Research Department, Hamedan Agricultural and Natural Resources Research and Education Center, AREEO, Hamedan, Iran
  • Department of Watershed Management, Faculty of Natural Resources, Yazd University, Yazd, Iran
autor
  • Department of Geography, Faculty of Science, Aligarh Muslim University (AMU), Aligarh, UP 202002, India
  • Division of Agricultural Engineering, ICAR-Indian Agricultural Research Institute, New Delhi 110012, India
  • Department of Watershed Management, Faculty of Natural Resources, Yazd University, Yazd, Iran
  • Departamento de Análisis Geográfco Regional y Geografía Física, Facultad de Filosofía y Letras, Campus Universitario de Cartuja, Universidad de Granada, 18071 Granada, Spain
Bibliografia
  • 1. Abbaspour KC, Faramarzi M, Ghasemi SS, Yang H (2009) Assessing the impact of climate change on water resources in Iran. Water Resour Res. https://doi.org/10.1029/2008WR007615
  • 2. Abolverdi J, Ferdosifar G, Khalili D, Kamgar-Haghighi AA, Abdolahipour Haghighi M (2014) Recent trends in regional air temperature and precipitation and links to global climate change in the Maharlo watershed, Southwestern Iran. Meteorol Atmos Phys 126:177–192. https://doi.org/10.1007/s00703-014-0341-5
  • 3. Abtew W, Melesse A (2013) Evaporation and evapotranspiration, Springer, pp 197–202
  • 4. Acharjee TK, van Halsema G, Ludwig F, Hellegers P, Supit I (2019) Shifting planting date of Boro rice as a climate change adaptation strategy to reduce water use. Agric Syst 168:131–143
  • 5. Alizadeh-Choobari O, Najafi MS (2018) Extreme weather events in Iran under a changing climate. Clim Dyn 50(1):249–260. https://doi.org/10.1007/s00382-017-3602-4
  • 6. Barclay P (2013) Climate change adaptation in great lakes cities. University of Michigan Masters Capstone
  • 7. Blashki G, McMichael T, Karoly DJ (2007) Climate change and primary health care. Aust J Gen Pract 36(12):986
  • 8. Bollettino V, Alcayna-Stevens T, Sharma M, Dy P, Pham P, Vinck P (2020) Public perception of climate change and disaster preparedness: evidence from the Philippines. Clim Risk Manag 30:100250
  • 9. Budyko MI (1969) The effect of solar radiation variations on the climate of the earth. Tellus 21(5):611–619
  • 10. Cannon AJ (2018) Multivariate quantile mapping bias correction: an N-dimensional probability density function transform for climate model simulations of multiple variables. Clim Dyn 50(1):31–49
  • 11. Chattopadhyay N, Hulme M (1997) Evaporation and potential evapotranspiration in India under conditions of recent and future climate change. Agric for Meteorol 87(1):55–73
  • 12. Chen KC (2013) Warming trend and seasonal variation in Hangzhou from 1961 to 2012. Chin Agr Sci Bull 29(35):345–350
  • 13. Christensen JJ, Castañeda H (2014) Danger and dementia: caregiver experiences and shifting social roles during a highly active hurricane season. J Gerontol Soc Work 57(8):825–844
  • 14. Darand M, Masoodian A, Nazaripour H, Mansouri Daneshvar MR (2015) Spatial and temporal trend analysis of temperature extremes based on Iranian climatic database (1962–2004). Arab J Geosci 8(10):8469–8480. https://doi.org/10.1007/s12517-015-1840-5
  • 15. Dong W, Jiang Y, Yang S (2010) Response of the starting dates and the lengths of seasons in Mainland China to global warming. Clim Change 99(1):81–91. https://doi.org/10.1007/s10584-009-9669-0
  • 16. Dore MH (2005) Climate change and changes in global precipitation patterns: what do we know? Environ Int 31(8):1167–1181
  • 17. Egeru A (2016) Climate risk management information, sources and responses in a pastoral region in East Africa. Clim Risk Manage 11:1–14
  • 18. Eskandari Damaneh H, Jafari M, Eskandari Damaneh H, Behnia M, Khoorani A, Tiefenbacher JP (2021) Testing possible scenario-based responses of vegetation under expected climatic changes in Khuzestan Province. Air, Soil Water Res 14:11786221211013332. https://doi.org/10.1177/11786221211013332
  • 19. Eskandari Dameneh H, Gholami H, Telfer MW, Comino JR, Collins AL, Jansen JD (2021) Desertification of Iran in the early twenty-first century: assessment using climate and vegetation indices. Sci Rep 11(1):1–18. https://doi.org/10.1038/s41598-021-99636-8
  • 20. Fallah B, Sodoudi S, Russo E, Kirchner I, Cubasch U (2017) Towards modeling the regional rainfall changes over Iran due to the climate forcing of the past 6000 years. Quatern Int 429:119–128. https://doi.org/10.1016/j.quaint.2015.09.061
  • 21. Fletcher S, Lickley M, Strzepek K (2019) Learning about climate change uncertainty enables flexible water infrastructure planning. Nat Commun 10(1):1–11
  • 22. Gong BY, Yan DH, Tan DB, Xiao WH, Feng J, Zhao J (2015) Spatial-temporal variation of the starting date and length of seasons in Luan River basin. China J Earth Sys Sci 124(4):807–818. https://doi.org/10.1007/s12040-015-0578-5
  • 23. Guzman-Morales J, Gershunov A (2019) Climate change suppresses Santa Ana winds of Southern California and sharpens their seasonality. Geophys Res Lett 46(5):2772–2780
  • 24. Hansen J, Hellin J, Rosenstock T, Fisher E, Cairns J, Stirling C, Lamanna C, van Etten J, Rose A, Campbell B (2019) Climate risk management and rural poverty reduction. Agric Syst 172:28–46
  • 25. IPCC. (2007). Climate Change 2007: impacts, adaptation and vulnerability. contribution of working group II to the fourth assessment report of the intergovernmental panel on climate change, 2007, In: Parry ML, Canziani OF, Palutikof JP, van der Linden PJ and Hanson CE (eds)
  • 26. Jenicek M, Hnilica J, Nedelcev O, Sipek V (2021) Future changes in snowpack will impact seasonal runoff and low flows in Czechia. J Hydrol: Reg Stud 37:100899
  • 27. Jha CK, Gupta V (2021) Do better agricultural extension and climate information sources enhance adaptive capacity? A micro-level assessment of farm households in rural India. Ecofeminism Clim Change 2(2):83-102. https://doi.org/10.1108/EFCC-10-2020-0032
  • 28. Karandish F, Mousavi SS, Tabari H (2017) Climate change impact on precipitation and cardinal temperatures in different climatic zones in Iran: analyzing the probable effects on cereal water-use efficiency. Stoch Env Res Risk Assess 31(8):2121–2146. https://doi.org/10.1007/s00477-016-1355-y
  • 29. Kidson JW (2000) An analysis of New Zealand synoptic types and their use in defining weather regimes. Int J Climatol: A J R Meteorol Soc 20(3):299–316
  • 30. Kushwaha NL, Rajput J, Shirsath PB, Sena DR, Mani I (2022) Seasonal climate forecasts (SCFs) based risk management strategies: a case study of rainfed rice cultivation in India. J Agrometeorol 24:10–17
  • 31. Lamers J, Mazzola M, Rosskopf E, Kokalis-Burelle N, Momma N, Butler D, Shennan C, Muramoto J, Kobara Y (2014) Anaerobic soil disinfestation for soil borne disease control in strawberry and vegetable systems: current knowledge and future directions. pp 165–175
  • 32. Luck J, Spackman M, Freeman A, Tre bicki P, Griffiths W, Finlay K, Chakraborty S (2011) Climate change and diseases of food crops. Plant Pathol 60(1):113–121
  • 33. McVicar TR, Roderick ML (2010) Winds of change. Nat Geosci 3(11):747–748
  • 34. Miao QL, Wang Y (2007) Division of China’s four seasons and its change characteristics. In: Meteor. Soc. Annual conference proceedings: climate change, pp 260–268
  • 35. Moss RH, Edmonds JA, Hibbard KA, Manning MR, Rose SK, Van Vuuren DP, Carter TR, Emori S, Kainuma M, Kram T (2010) The next generation of scenarios for climate change research and assessment. Nature 463(7282):747–756
  • 36. Nazaripouya H, Kardavany P, Farajy Rad AR (2016) Assessing climate change impacts on hydro-climatic parameters in the dam basin of Ekbatan Hamedan. Iran J Ecohydrol 3(2):181–194. https://doi.org/10.22059/ije.2016.59656
  • 37. O’Gorman PA, Schneider T (2009) The physical basis for increases in precipitation extremes in simulations of 21st-century climate change. Proc Natl Acad Sci 106(35):14773–14777
  • 38. Pacetti T, Caporali E, Rulli MC (2017) Floods and food security: a method to estimate the effect of inundation on crops availability. Adv Water Resour 110:494–504
  • 39. Pathak TB, Maskey ML, Dahlberg JA, Kearns F, Bali KM, Zaccaria D (2018) Climate change trends and impacts on California agriculture: a detailed review. Agronomy 8(3):25
  • 40. Peņa-Angulo D, Estrany J, García-Comendador J, Fortesa J, Tomās-Burguera M, Company J, Nadal-Romero E (2021) Influence of weather types on the hydrosedimentary response in three small catchments on the Island of Mallorca. Spain Environ Res 192:110324
  • 41. Power H, Mills D (2005) Solar radiation climate change over southern Africa and an assessment of the radiative impact of volcanic eruptions. Int J Climatol 25(3):295–318
  • 42. Pryor S, Schoof JT, Barthelmie R (2006) Winds of change?: projections of near-surface winds under climate change scenarios. Geophys Res Lett. https://doi.org/10.1029/2006GL026000
  • 43. Rapp D (2014) Assessing climate change: temperatures, solar radiation and heat balance
  • 44. Raziei T, Daryabari J, Bordi I, Modarres R, Pereira LS (2014) Spatial patterns and temporal trends of daily precipitation indices in Iran. Clim Change 124(1):239–253. https://doi.org/10.1007/s10584-014-1096-1
  • 45. Rodrigo-Comino J, Senciales-González JM, Yu Y, Salvati L, Giménez-Morera A, Cerdà A (2021) Long-term changes in rainfed olive production, rainfall and farmer’s income in Bailén (Jaén, Spain). Euro-Mediterr J Environ Integr 6(2):1–15
  • 46. Rodrigo-Comino J, Salvia R, Egidi G, Salvati L, Giménez-Morera A, Quaranta G (2022) Desertification and degradation risks vs poverty: a key topic in Mediterranean Europe. Cuad Investig Geogr. https://doi.org/10.18172/cig.4850
  • 47. Salas RN, Friend TH, Bernstein A, Jha AK (2020) Adding a climate lens to health policy in the United States: commentary explores how health care policy makers can integrate a climate lens as they develop health system interventions. Health Aff 39(12):2063–2070
  • 48. Sepehri M, Malekinezhad H, Hosseini SZ, Ildoromi AR (2019) Assessment of flood hazard mapping in urban areas using entropy weighting method: a case study in Hamadan city. Iran Acta Geophysica 67(5):1435–1449
  • 49. Sepehri M, Malekinezhad H, Jahanbakhshi F, Ildoromi AR, Chezgi J, Ghorbanzadeh O, Naghipour E (2020) Integration of interval rough AHP and fuzzy logic for assessment of flood prone areas at the regional scale. Acta Geophys 68(2):477–493
  • 50. Tangonyire DF, Akuriba GA (2020) Socioeconomic factors influencing farmers’ specific adaptive strategies to climate change in Talensi district of the Upper East Region of Ghana. Ecofeminism Clim Change 2(2):50-68. https://doi.org/10.1108/EFCC-04-2020-0009
  • 51. Tian H, Huang N, Niu Z, Qin Y, Pei J, Wang J (2019) Mapping Winter Crops in China with Multi-Source Satellite Imagery and Phenology-Based Algorithm. Remote Sens 11(7):820. https://doi.org/10.3390/rs11070820
  • 52. Tian H, Wang Y, Chen T, Zhang L, Qin Y (2021a) Early-Season Mapping of Winter Crops Using Sentinel-2 Optical Imagery. Remote Sens 13(19):3822. https://doi.org/10.3390/rs13193822
  • 53. Tian H, Qin Y, Niu Z, Wang L, Ge S (2021b) Summer Maize Mapping by Compositing Time Series Sentinel-1A Imagery Based on Crop Growth Cycles. J Indian Soc Remote Sens 49(11):2863–2874. https://doi.org/10.1007/s12524-021-01428-0
  • 54. Trenberth KE (1983) What are the seasons? Bull Am Meteor Soc 64(11):1276–1282
  • 55. Trenberth KE (2011) Changes in precipitation with climate change. Clim Res 47(1–2):123–138
  • 56. Visher S (1943) The Seasons’ arrivals and lengths. Ann Assoc Am Geogr 33(2):129–134. https://doi.org/10.1080/00045604309357247
  • 57. Yagiz AK, Cakici M, Aydogan N, Omezli S, Yerlikaya BA, Ayten S, Maqbool A, Haverkort AJ (2020) Exploration of climate change effects on shifting potato seasons, yields and water use employing NASA and national long-term weather data. Potato Res 63(4):565–577
  • 58. Yang Y, Ren Y, Yang D, Li M (2010) Variation of climate season and its effect on agriculture in Tianjin from 1951 to 2008. J Anhui Agr Sci 30(1):5163–5165
  • 59. Yassen AN, Nam W-H, Hong E-M (2020) Impact of climate change on reference evapotranspiration in Egypt. CATENA 194:104711
  • 60. Yu Y, Fan F, Hua W, Zhou D, Lai X, Liu Y (2011) Research for length change of four seasonsover China in recent 47 years. Plateau Meteorol 30(1):182–190
  • 61. Zhang D (2017) A coefficient of determination for generalized linear models. Am Stat 71(4):310–316
  • 62. Zhang S, Zhang L, Sun S (2011) Changes of the seasons in Mainland China under the global warming. Plateau Meteor 30(3):659–667
  • 63. Zohrabi N, Bavani AM, Goodarzi E, Eslamian S (2014) Attribution of temperature and precipitation changes to greenhouse gases in Northwest Iran. Quat Int 345:130–137. https://doi.org/10.1016/J.QUAINT.2014.01.026
  • 64. Zounemat-Kermani M, Kisi O, Piri J, Mahdavi-Meymand A (2019) Assessment of artificial intelligence-based models and metaheuristic algorithms in modeling evaporation. J Hydrol Eng 24(10):04019033. https://doi.org/10.1061/(ASCE)HE.1943-5584.0001835
Uwagi
PL
Opracowanie rekordu ze środków MEiN, umowa nr SONP/SP/546092/2022 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2022-2023).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-f0ff1f14-731d-42f9-b6af-a9264880c48d
JavaScript jest wyłączony w Twojej przeglądarce internetowej. Włącz go, a następnie odśwież stronę, aby móc w pełni z niej korzystać.