Spatial Patterns and Magnitudes of Agriculturally Pertinent Climate Indicators across Agroecosystems in Turkiye

Irmak S., Kukal M. S., TOPÇU S.

JOURNAL OF APPLIED METEOROLOGY AND CLIMATOLOGY, cilt.61, sa.9, ss.1329-1348, 2022 (SCI-Expanded) identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 61 Sayı: 9
  • Basım Tarihi: 2022
  • Doi Numarası: 10.1175/jamc-d-21-0175.1
  • Dergi Adı: JOURNAL OF APPLIED METEOROLOGY AND CLIMATOLOGY
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus, Academic Search Premier, Aerospace Database, Applied Science & Technology Source, Aquatic Science & Fisheries Abstracts (ASFA), Compendex, Computer & Applied Sciences, Environment Index, Geobase, INSPEC, Pollution Abstracts, Civil Engineering Abstracts
  • Sayfa Sayıları: ss.1329-1348
  • Anahtar Kelimeler: Climate change, Climate variability, Evapotranspiration, GROWING DEGREE-DAYS, REFERENCE EVAPOTRANSPIRATION, SOLAR-RADIATION, RAINFALL VARIATIONS, NIGHT TEMPERATURE, PLANT RESPIRATION, NASA SATELLITE, TREND ANALYSIS, YIELD, PRECIPITATION
  • Çukurova Üniversitesi Adresli: Evet

Özet

This research utilized NASA-Prediction of Worldwide Energy Resource (POWER) datasets to quantify and map long-term annual and growing-season mean maximum, minimum, and mean air temperatures (T-max, T-min, and T-avg); diurnal temperature range (DTR); growing degree-days (thermal unit) (GDD); seasonal total precipitation; mean daily precipitation; incoming shortwave radiation R-s; relative humidity (RH); wind speed u(2); saturation and actual vapor pressures (e(s) and e(a)); vapor pressure deficit (VPD); grass- and alfalfa-reference evapotranspiration (ETo and ETr); and aridity index (AI) over the nine agricultural zones of Turkiye (Turkey). In addition to the latitudinal influence, the influence of continentality and oceanity effects and physiographic features were evident in the spatial patterns of all climate indicators. T-min was the most spatially variable indicator at both scales, which can have significant impact on nighttime respiration, potentially reducing agroecosystem productivity. At the annual scale, climate indicators that showed coefficient of variation (CV) greater than 0.20 were GDD, T-avg, VPD, AI, and e(a). Growing-season mean indicators with CV > 0.20 were GDD, AI, VPD, total precipitation, mean daily precipitation, and e(a). The R-s showed the least spatial variability at both scales. Annual-scale mean CV (0.21) was 7% greater than that the growing season (0.19). To the best of our knowledge, the analyses, information, and resources presented here are the first to quantify agricultural-zone-specific climate indicators during the growing season in Turkiye and are invaluable for decision-making on issues at the intersection of meteorology, agriculture, water resources, and hydrology.