Introduction. The existing agroclimatic handbooks in Kazakhstan are outdated in informational and technological relation. Therefore it is necessary to conduct reassessment of agroclimatic resources. Purpose. The agroclimatic zoning of the territory of northern Kazakhstan in terms of heat supply and moisture content. Methods. Data of meteorological stations over 1981-2014 were used. Methods of statistic and climatologic processing of data were applied. Agroclimatic maps were developed using the ArcGIS 10.1 software. Results. Analysis of spatial distribution of values of moisture coefficient K and sums of active air temperatures above 10оC provided an opportunity to single out 6 agroclimatic zones of plain territory of Kazakhstan. Zones from 3 to 6 are subdivided into two types in terms of thermal conditions. There are 3 agroclimatic zones singled out within the territory of North Kazakhstan Region, 4 zones – in Kostanai region, 4 zones – in Akmola region, 2 zones – in Pavlodar region. Distribution of drought characteristics, hot dry winds and climatic terms for beginning of spring field works within Akmola region's agroclimatic zones was given as an example for systematization of spatial distribution of respective values. The first zone with moderately humid and moderately warm climate has severe droughts with recurrence of 2%, hot winds of moderate intensity are observed during 2-3 days, climatic terms for beginning of spring field works fall on 15th-19th of May. The fourth zone with moderately dry and warm climate has severe droughts with recurrence of 30-35%, hot winds of moderate intensity are observed during 20-25 days, climatic terms for beginning of spring field works fall on 5th-7th of May. Conclusions. There are 3 agroclimatic zones singled out within the territory of North Kazakhstan Region, 4 zones – in Kostanai region, 4 zones – in Akmola region, 2 zones – in Pavlodar region.
We evaluate bioclimatic changes in Kazakhstan from the end of the 20th century until the middle of the 21st century to offer natural resource managers a tool that facilitates their decision-making on measures to adapt agriculture and environmental care to foreseeable climate change. We use climatic data from the “Providing REgional Climates for Impact Studies” (PRECIS) prediction and study them following the Worldwide Bioclimatic Classification System (WBCS) of Rivas-Martínez. For three 25-year intervals (1980–2004, 2010–2034 and 2035–2059), we identify the continentality, macrobioclimates, bioclimates, bioclimatic variants, thermotypes, ombrotypes and isobioclimates of the study area. The results of the work allow us to: locate the territories where bioclimatic conditions will change, quantify the magnitude of the predicted climate changes, and determine the trends of predictable climate change. We present the results in maps, tables and graphs. For the 80-year interval, we identify 3 macroclimates, 3 bioclimatic variants, 10 bioclimates, 11 thermotypes, 10 ombrotypes and 43 isobioclimates. Some of those found bioclimates, thermotypes, ombrotypes and isobioclimates are only located in the E, SE and S mountains, where they occupy very small areas, that decrease in a generalized way as the 20th century progresses. Comparing the three successive periods, the following trends are observed: 36.2% of the territory increases in thermicity; 7.3% of the territory increases in continentality; 9.7% of the territory increases in annual aridity; 9.5% of the territory increases in summer aridity or mediterraneity; and generalized losses occur in the areas of all mountain isobioclimates. The climate change foreseen by the PRECIS model for the middle of the 21st century leads to bioclimatic homogenization, with 20.8% losses in bioclimatic diversity. We indicate on maps the locations of all the predicted bioclimatic changes; these maps may provide decision makers with a scientific basis to take necessary adaptation measures.
Introduction. The existing agroclimatic handbooks in Kazakhstan are outdated both in informational and technological senses. Therefore necessity of agroclimatic resources reassessment arose. Purpose. Research of heat supply of vegetation period within the Northern grain-seeding territory of Kazakhstan. Methods. Data of meteorological stations for period of 1981-2014 were used. Methods of statistic and climatologic processing of data were applied. The agroclimatic maps were drafted using ArcGIS 10.1 software. Results. The article describes a thermal regime, duration and heat supply of vegetation period within the territory of 4 northern oblasts of Kazakhstan. The territory of Northern Kazakhstan under study hascontinental climate. Average annual air temperature at the area under study increases from the North to the South from 1.8 °C to 5.3 °C. Average July air temperature at the area changes from 18.5 °C to 23.6 °C and average January air temperature – from minus 12.8 °C to minus 17.4 °C. Duration of vegetation period for early spring crops constitutes 172-193 days, for late spring crops – 136-162 days and for warm weather crops – 89-124 days. Daily range of air temperature is 11.4-14.7 °C and that means rather high quality of grain. Sum of active temperatures exceeding 10 °C increases from the North to the South from 2100 °C to 3400 °C. Vegetation period is 90% provided by sum of active temperatures exceeding 10 °C within the range of 2000-2900 °C. Maps of heat supply and vegetation period duration were also drafted. Conclusions. In the north of the territory under study thermal sources satisfy demands of soft and common sorts of wheat but are not enough for sunflower and maize, in the south they are enough for wheat, all sorts of sunflower and middle-late sorts of maize.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.