Analysing the Impact of Climate Indicators on Agricultural Crops in
the Specific Context of the Bakhmal District
Kamoliddin A. Khakimov
1
a
, Nurmuhammad D. Qosimov
2
b
, Shavkat M. Sharipov
1
c
,
Elbek Safarov
1
d
and Davron O. Boymurodov
1
e
1
National University of Uzbekistan, Tashkent, Uzbekistan
2
Jizzakh State Pedagogical Institute, Jizzakh, Uzbekistan
Keywords: Climate, Landscape, Agricultural Crops, Temperature, Humidity, the Sum of Effective Temperatures,
Thermal Resources, Hydrothermal Coefficient, Humidity Coefficient, Morning and Evening Frosts.
Abstract: In this article, based on the scientists who conducted research in the assessment of climate for agricultural
crops and their work, criteria were developed in the conditions of the Bakhmal district. In the development of
the criteria, the temperature, and humidity indicators of the climate, as well as the sum of effective
temperatures, various “hydrothermal coefficients”, and “humidity coefficients” were taken into account.
1 INTRODUCTION
The consideration of climate assessment for
agriculture has been a focal point in the research of
notable scientists, including G. T. Selyaninov, N. N.
Ivanov, D. I. Shashko, P. I. Koloskov, L. N.
Babushkin, and Sh. S. Zokirov. In the Bakhmal
region, understanding the growth, development, and
productivity of agricultural crops necessitates a
comprehensive analysis of temperature and humidity
indicators, along with factors such as the sum of
effective temperatures, various hydrothermal
coefficients, and humidity coefficients.
Moreover, the assessment must encompass
potential adversities posed by climatic phenomena
that could negatively impact agricultural crops. These
encompass spring and autumn frosts, hail and sleet,
sleet, strong winds, and dust. To enhance precision,
adjustments to the primary assessment are made using
specific coefficients.
This holistic approach to climate assessment
acknowledges the multifaceted nature of
environmental factors affecting agriculture in the
Bakhmal region. It emphasizes the importance of
a
https://orcid.org/0000-0001-5039-3461
b
https://orcid.org/0009-0003-8277-4551
c
https://orcid.org/0000-0002-4049-9374
d
https://orcid.org/0009-0009-9874-8263
e
https://orcid.org/0000-0002-1157-2990
considering not only favourable conditions but also
potential challenges posed by various climatic
elements, ensuring a more nuanced understanding for
effective agricultural planning and management
(Sharipov et. al., 2020).
1.1 The Main Part
For optimal crop growth, each crop type and variety
necessitate a specific set of effective temperatures.
The sum of effective temperatures is calculated based
on the accumulation of average temperatures
exceeding +10°C, a threshold at which the plant's
physiological processes function normally. In
assessing the sum of effective temperatures for winter
and spring farming in the Bakhmal district, insights
from experiments conducted by L.N. Babushkin
(1964) and Sh.S. Zokirov (1972) are incorporated. A
thermal resources evaluation system tailored to the
conditions of the Bakhmal district can be formulated
accordingly, as outlined in Table 1. This approach
ensures a nuanced understanding of thermal
dynamics crucial for agricultural planning,
emphasizing the significance of specific temperature
thresholds in optimizing crop cultivation.
1048
Khakimov, K., Qosimov, N., Sharipov, S., Safarov, E. and Boymurodov, D.
Analysing the Impact of Climate Indicators on Agricultural Crops in the Specific Context of the Bakhmal District.
DOI: 10.5220/0012949800003882
Paper published under CC license (CC BY-NC-ND 4.0)
In Proceedings of the 2nd Pamir Transboundary Conference for Sustainable Societies (PAMIR-2 2023), pages 1048-1053
ISBN: 978-989-758-723-8
Proceedings Copyright © 2024 by SCITEPRESS – Science and Technology Publications, Lda.
Table 1: Evaluation of thermal resources.
No The sum of
effective
temperatures
(+10˚C above)
Evaluation
scores
Evaluation
quality
1 More than
3800
100 the most
convenient
2 2700-3800 80-100 comfortable
3 2100-2700 60-80 average
4 1600-2100 40-60 below average
5 1000-1600 20-40 uncomfortable
6 0-1000 0-20 Invalid
In the development of this evaluation system, the
thermal properties of local agricultural crops, namely
wheat, barley, peas, corn, beans, alfalfa, sugarcane
and vegetable crops, grapes, and fruit trees were taken
into account [11].
L.N.Babushkin (1964), and Sh.S.Zokirov (1972)
based on the requirements of the cotton crop (latest
ripening varieties, medium ripening varieties, fastest
ripening varieties) in developing the provision of
thermal resources for obikor farming and evaluated as
follows develops a system.
Table 2: Estimating the sum of effective temperatures.
No The sum of effective
temperatures
Evaluation
scores
1 2670 100
2 2250 85
3 2020 75
4 1500 60
5 1000 40
Changes were introduced to the assessment
system developed by scientists due to the absence of
cotton cultivation in the Bakhmal district. Landscapes
with a sum of effective temperatures exceeding
3800°C are awarded a perfect score of 100 points,
designating them as "most comfortable." This thermal
zone is not only suitable for all crops in the region but
also facilitates the full ripening of heat-loving crops
such as cotton and grapes. The conducive thermal
conditions even allow for a double harvest in organic
farming. L.N. Babushkin (1964) delineated five
thermal zones based on the sum of positive
temperatures during the growing season, designating
areas with 3800°C and above as the hot zone, suitable
for growing medium and fast-ripening cotton
varieties.
For sums of effective temperatures ranging
between 2700°C and 3800°C, a rating of 80 to 100
points is assigned, indicating "favourable" conditions.
Heat-loving grapes do not ripen in regions with a sum
of effective temperatures below 2700°C. Landscapes
with sums between 2100°C and 2700°C are rated
between 60 and 80 points, labelled as "average." L.N.
Babushkin (1964, 1985) terms this zone as the grain
crops zone due to the optimal conditions for legumes,
legumes, and vegetables. Sum of effective
temperatures between 1600°C and 2100°C scores
between 40 and 60, categorised as "below average,"
crucial for the ripening of specific barley varieties in
spring landscapes. Landscapes with sums between
1000°C and 1600°C are deemed "unfavourable" and
receive ratings from 20 to 40 points. Those with sums
below 1000°C are considered "unsuitable" with a
score of 0-20, corresponding to non-agricultural areas
in the highlands. L.N. Babushkin (1964) notes this
zone as unsuitable for agriculture due to the thermal
resource. The growth, development, and yield of
agricultural crops during spring farming hinge on soil
moisture supplied by rainwater, assessed using the
"hydrothermal coefficient" formula by G.T.
Selyaninov (1).
ГТК = Р/(𝒕: 𝟏𝟎) (1)
ΣР average amount of precipitation during the
growing season.
Σt the temperature sum of the period when the
average daily temperature is above +10°.
This necessitates data on precipitation during the
growing season and the sum of effective temperatures
with average daily temperatures above 10°C. The
vegetation period aligns with the initial development
phases of plants [7;8], varying depending on plant
types and yearly weather fluctuations. For barley and
wheat, it's observed at 5°C, 10°C for cotton, 12°C for
oats, and 15°C for rice and fruit trees [2; 354–357-p.].
Considering periods with average daily temperatures
of +10°C and above, the vegetation period in the
Bakhmal district commences in mid-March and
concludes in early October. Precipitation during this
timeframe ranges from 119 mm to 211 mm,
corresponding to altitude changes from 800 m to 3000
m. The sum of temperatures with average daily
temperature above +10°C decreases from 4160°C to
500°C concerning altitude (Table 3).
G.T. Selyaninov's formula determined the
hydrothermal coefficient for each landscape
morphological unit, exhibiting variations from 0.29 to
4.23 in the district. Based on this data, a hydrothermal
coefficient less than 0.3 designates a dry zone
Analysing the Impact of Climate Indicators on Agricultural Crops in the Specific Context of the Bakhmal District
1049
(suitable only for irrigated farming), 0.3 to 0.5
indicates a drier zone (spring grain crops at 75-99%
natural soil moisture), and a zone with a coefficient
greater than 0.5 signifies a wet zone (natural moisture
supply reaching 100% for spring grain crops) [1]. The
dry zone, with a hydrothermal coefficient below 0.3,
encompasses areas up to 850 m absolute altitude,
while the drier zone (0.3 to 0.5) includes altitudes
between 850 m and 1540 m. Areas above 1540 m in
the Bakhmal district fall into the wet zone, possessing
a hydrothermal coefficient greater than 0.5.
Hydrothermal coefficients are assessed using
points and quality indicators, including the sum of
effective temperatures. A result above 0.75 earns 100
points (most favourable), 0.50-0.75 corresponds to 80
to 100 points (favourable), 0.30-0.50 equates to 60 to
80 points (average), 0.20-0.30 warrants 40 to 60
points (below average), 0.11-0.20 merits 20 to 40
points (unfavourable), and less than 0.11 is
categorised from 0 to 20 points (invalid).
Table 3: Evaluation of hydrothermal indicators.
No Hydrothermal
index
Evaluation
scores
Evaluation
qualit
y
1 0.75 100 the most
convenient
2 0.50-0.75 80-100 comfortable
3 0.30-0.50 60-80 average
4 0.20-0.30 40-60 below average
5 0.11-0.20 20-40 uncomfortable
6 0-0.11 0-20 invalid
The assessment of thermal resources for
agricultural crops reveals a noteworthy contradiction
when compared to the evaluation of hydrothermal
resources. Areas deemed unusable and unfavourable
in the thermal resource assessment paradoxically
exhibit the most favourable and favourable qualities
in the hydrothermal coefficient assessment. This
incongruity is rooted in the well-established
understanding that thermal resources diminish while
precipitation increases with higher altitudes in
mountainous regions.
Spring and autumn black frosts, naturally
occurring meteorological phenomena, do not
significantly impact agricultural assessments. The
adjustments made involve modifying the main score
using specific coefficients [3; 202–221-p.]. These
black frosts, characterized by air temperature and soil
surface dropping to 0°C or lower, are deemed
harmful, with a notable prevalence in the Bekhmal
district. Over the last 5 years in the town of Osmat
and its surroundings, spring black frosts have caused
considerable damage to various crops multiple times,
underscoring their detrimental impact.
The timing of black frosts is influenced by
geographical position, plant type, variety,
agrotechnical conditions, and other factors. Different
crops exhibit varying degrees of resistance to cold,
with spring wheat, barley, and peas enduring
temperatures from -7°C to -10°C, cabbage from -5°C
to -7°C, soybeans and radish from -3°C to -4°C. Less
cold-resistant crops, including corn, millet, potatoes,
and tobacco, can withstand black frosts up to 0°C.
In our republic, the onset of the plant vegetation
period experiences an average delay of 1.5-2.5 days
for every 100 meters rise in altitude. In the
moderately steep hills of the Bakhmal district, this
delay extends to 3-4 days. For example, in 2020, the
full flowering phase of apple trees occurred on April
10 in the town of Osmat at an altitude of 1000 m
above sea level. In contrast, in the village of Zartepa,
located 700 m above Osmat and 45 km away, the
same phase was observed on May 10. This delayed
onset of the spring period is associated with a
reduction in the occurrence of spring frosts.
When determining the coefficient of spring and
autumn cold shocks, the focus extends beyond the
number of days after the start of the growing season
to consider the frequency of occurrence. This
approach has led to the development of specific
criteria, as outlined in Table 4. The emphasis on
frequency provides a more nuanced understanding of
the impact of cold shocks on crops, offering a
comprehensive assessment that goes beyond
temporal considerations.
In conclusion, the intricacies of thermal and
hydrothermal assessments, coupled with the impact
of black frosts and the delayed onset of the spring
period, underscore the multifaceted nature of
agricultural conditions in the Bakhmal district. As
agricultural planning necessitates a comprehensive
understanding of these factors, the developed criteria
for assessing cold shocks provide a valuable tool for
farmers and researchers alike. The interplay of
geographical, climatic, and crop-specific variables
highlights the need for adaptive and region-specific
agricultural practices to optimize productivity and
resilience in the face of diverse meteorological
challenges.
PAMIR-2 2023 - The Second Pamir Transboundary Conference for Sustainable Societies- | PAMIR
1050
Table 4: Coefficients of spring and autumn frostbite.
No Spring frost
hit
Correction
facto
r
Fall frost
hit
Correction
facto
r
1 During the
growing
season,
spring
black frosts
do not
occur at all
1.00 During the
growing
season,
there are no
autumn
black frosts
at all
1.00
2 During the
growing
season,
spring
black frosts
occur less
than 1 time
in 10 years
0.98 During the
growing
season,
autumn
black frosts
occur less
than 1 time
in 10 years
0.98
3 During the
vegetation
period,
spring
black frosts
occur 1-2
times in 10
years
0.96 During the
vegetation
period,
autumn
black frosts
occur 1-2
times in 10
years
0.96
4 During the
growing
season,
spring
black frosts
occur 3-4
times in 10
y
ears
0.94 During the
growing
season,
autumn
black frosts
occur 3-4
times in 10
y
ears
0.94
5 During the
growing
season,
spring
black frosts
occur more
than 4
times in 10
years
0.92 During the
growing
season,
autumn
black frosts
occur more
than 4
times in 10
years
0.92
In the Bakhmal district, the delicate balance of
agricultural productivity faces formidable challenges,
particularly in the context of frequent meteorological
extremes that shape the fate of crops. These
challenges manifest in distinct patterns depending on
the season and geographical features of the region.
Spring frosts, a recurring adversary for farmers,
find their stronghold in the spring landscapes situated
at an average altitude of 900-1400 meters above sea
level. These chilly intruders disrupt the early stages
of plant development, posing a threat to crops at a
critical juncture. On the flip side, autumn frosts,
another facet of nature's unpredictability, exhibit a
preference for regions engaged in irrigated
agriculture, particularly those hovering at an average
altitude of 800-900 meters above sea level.
The vulnerability of agricultural crops extends
beyond the whims of temperature, as hazardous
meteorological events wreak havoc during the crucial
growing season. The foothills, often deemed idyllic
for cultivation, become a battleground for crops
contending with hail, storms, floods, and relentless
winds. The repercussions of these events are far-
reaching and multifaceted.
Wind-blown rains, a formidable force of nature,
not only jeopardize the structural integrity of wheat
and barley stems but also inflict damage on delicate
vine branches. Simultaneously, the fertile top layer of
the soil faces erosion, threatening the very foundation
of agricultural productivity. The untimely influence
of rain close to the ripening period of grapes
introduces an additional layer of risk, causing grapes
to burst and compromising both the quantity and
quality of the harvest.
Hailstorms, a recurrent nemesis, unleash their
fury primarily in the foothills of the district. Their
unwelcome visitation, typically observed from April
to May and sometimes extending into early June,
coincides with critical phases in the growth of apple
trees, the development of vine branches, and the rapid
maturation of grain crops. Even brief spells of hail
can dismantle the intricate structures of plants,
stripping them of leaves, flowers, and fruits. The
aftermath is a compromised yield and diminished
quality, with the potential for a lasting impact on the
harvest in the subsequent year.
The toll on farmers in the foothills, particularly
those specializing in horticulture, is not just agrarian
but economic. Hailstorms can inflict severe economic
losses as apple fruits, a primary focus of horticultural
endeavors, bear the brunt of these meteorological
assaults. The night of May 23, 1998, stands as a
poignant testament to the destructive potential of
hailstorms, where hailstones the size of eggs and
bowls, weighing between 100 and 150 grams (some
reaching as much as 500-600 grams), prompted a
state of emergency in the district. The town of Osmat
and Aktash villages and their surroundings were
severely impacted, with thousands of buildings
rendered unusable and vast expanses of both dry and
irrigated grain fields laid waste. Orchards and
vineyards, once thriving, succumbed to the hail's
onslaught, tallying material damages that amounted
to a staggering 532 million soums at the prices of that
era [6; 29–32-p.].
Analysing the Impact of Climate Indicators on Agricultural Crops in the Specific Context of the Bakhmal District
1051
Adding to the litany of challenges, early spring
floods in some years pose a lurking menace to crop
fields. The potential destruction or submersion of
fields in mud during these floods necessitates a
thorough evaluation of their impact. In the assessment
process, specific coefficients are applied to the main
scores, providing a nuanced understanding of the
challenges posed by these dangerous flood events.
The authors, mindful of the complex interplay of
meteorological variables, have meticulously outlined
the criteria for calculating these coefficients, as
presented in Table 5.
In conclusion, the agricultural landscape of the
Bakhmal district is intricately woven with challenges
imposed by nature's capricious elements. From the
frosty embrace of spring to the tumultuous storms and
hailstorms, farmers navigate a complex terrain where
the resilience of crops is continually tested. The
authors' comprehensive assessment, encapsulated in
the presented criteria, serves not only as a diagnostic
tool but also as a roadmap for devising strategies that
mitigate the impact of these meteorological
adversaries, fostering sustainable and adaptive
agricultural practices.( Holbaev, 2017- Anorboev,
2000)
Table 5: Coefficients of Dangerous Meteorological
Phenomena
No Dangerous meteorological
p
henomena
Correction
facto
r
1 During the growing season,
dangerous meteorological events do
not occur at all
1
2 During the growing season,
dangerous meteorological events
occur less than once in 10 years
0.98
3 During the growing season,
dangerous meteorological events
occur 1-2 times in 10 years
0.96
4 During the growing season,
dangerous meteorological events
occur 3-4 times in 10 years
0.94
5 During the growing season,
dangerous meteorological events
occur more than 4 times in 10
y
ears
0.92
2 CONCLUSIONS
It is desirable to make a general assessment of the
climate for agricultural crops through the following
formula (developed by the author) (Formula 1).
И
б
=Σt
б
× Σ
гткб
× Σ
бсук
× Σ
ксук
× Σ
хмҳк
× 0,01 (1)
И
б
climate assessment score for agricultural
crops;
Σt
б
the sum of temperatures with the average
daily temperature above +10° is the evaluation score;
Σ
гткб
Hydrothermal coefficient score
Σ
бсук
Coefficient of spring cold shock
Σ
ксук
Autumn frost coefficient
Σ
хмҳк
Coefficient of dangerous meteorological
phenomena
According to the results of climate assessment for
agricultural crops in Bakhmal District, the parts of the
region close to the Zarafshan Oasis were assessed as
favorable, while the unfavorable conditions towards
the Chumkor and Morguzar mountains increased.
As the climate of the district is dry and
continental, most of the agricultural crops depend on
rainfall. Wheat, barley, peas - these crops form the
basis of dry farming.
The territory of the district is rich in biological
and landscape diversity, but due to the aridity of the
climate, it is extremely sensitive and fragile to
external factors. If the types of use of nature are not
regulated, and not planned purposefully, if the
inconveniences of climate change are not taken into
account, the system in nature will be destroyed, and it
will lead to the reduction of natural resources and the
loss of biodiversity. This causes the balance between
nature and society to be disturbed and new problems
to arise.
REFERENCES
Babushkin, L. N. (1969). Agro-climatic zoning of Central
Asia. Tashkent: Gidrometeoizdat.
Holbaev, G. Kh., & Egamberdiev, H. T. (2017). About the
transition of air temperature to different levels. In
Uzbekistan in the Eurasian space: geography,
geoeconomy, geoecology. International scientific and
practical conference (pp. 354-357). Tashkent.
Zakirov, Sh. S., & Tashov, Kh. R. (2016). Landscape
science. Tashkent: Turon zamin ziya.
Yuldasheva, S. Sh. (2017). Meteorological phenomena
dangerous for agriculture. In Uzbekistan in the Eurasian
space: geography, geoeconomy, geoecology.
International scientific and practical conference (pp.
365-366). Tashkent.
Ergashev, A., & Ergashev, T. (2006). Agroecology. T.
Anorboev, M. T. (2000). White mornings of the moon.
Sangzor: Jizzakh.
Ibragimova, R. A., Sharipov, S. M., Abdunazarov, U. K.,
Mirakmalov, M. T., Ibraimova, A. A. (2019). Aral
physical and geographic district, Uzbekistan and
Kazakhstan. Asia Life Sciences, 21(1), 227-235.
Khakimov, K. A., Sharipov, S. M., Boymurodov, D. U.
(2021). Landscapes of the Bakhmal district of
PAMIR-2 2023 - The Second Pamir Transboundary Conference for Sustainable Societies- | PAMIR
1052
Uzbekistan and their territorial differentiation. Nature
and Science, 19(11), 1-7.
http://www.sciencepub.net/nature.1.
doi:10.7537/marsnsj191121.01.
Sharipov, S. M., Gudalov, M. R., Shomurodova, S. G.
(2020). The geologic situation in the Aydar-Arnasay
colony and its atrophy. Journal of Critical Reviews,
7(3), 461-468.
Sharipov, S. M., Shomurodova, S. G., Gudalov, M. R.
(2020). The use of the mountain kars in the tourism
sphere in court and recreation zone of Chimgan-
Charvak. Journal of Critical Reviews, 7(3), 475-481.
Sharipov, Sh. M., Khakimov, K. A., Shamuratova, N. T.,
Ibragimova, R. A., Safarov, E. D. (2021). Formation
and Development of Landscape Planning. Nat.
Volatiles & Essent. Oils, 8(4), 15335-15340.
http://nveo.org/index.php/journal/article/view/3318/27
34.
Analysing the Impact of Climate Indicators on Agricultural Crops in the Specific Context of the Bakhmal District
1053