The effect of climate changes on soil fertility and temperature stress in rice cultivation DOI Creative Commons

Sakineh Mahdavi,

Mohammad Mohammadian, Keyvan Mahdavi Mashaki

и другие.

Research Square (Research Square), Год журнала: 2024, Номер unknown

Опубликована: Ноя. 7, 2024

Abstract In order to ensure food security for the future, finding optimal agricultural management in shadow of significant impact climate changes on crops is needed. This research related nutritional problems under effect future rice, at four levels nitrogen application treatments (0, 60, 90 and 120 Kg/ha) three planting densities (20cm × 20cm, 30cm 16cm, 14cm) two CO2 concentration scenario (RCP2.6 RCP6.0) 2044 2064, was conducted northern part Iran, using Aquacrop model. The introduced polynomial equation increased accuracy relationship between leaf area index canopy cover with an average error 16%. With increase fertilizer level density, crop production increased, observed maximum minimum yields 7and 3.7 ton/ha N3D1 N0D2 treatments, respectively. It that soil fertility stress led up 55% reduction biomass. By increasing temperature concentration, also highest value 45.5% RCP6.0 2064.There a possibility years which causes stomata closure early senescence, so our work 2% 5% decrease yield. water requirement from 305 mm base year 322 2064.Both WP* WUE were CO2, values 26 g/cm2 2.56 Kg/m3, respectively, 2064.

Язык: Английский

Modeling the effects of climate change on the irrigation water requirements of wheat and canola in the TR21 Thrace Region using CROPWAT 8.0 DOI Creative Commons
Huzur Deveci,

Buse Önler,

Tolga Erdem

и другие.

Frontiers in Sustainable Food Systems, Год журнала: 2025, Номер 9

Опубликована: Апрель 2, 2025

Accurately predicting future changes in plant water requirements is crucial for effective irrigation scheduling. This study modeled the effect of climate change on wheat and canola TR21 Thrace Region using CROPWAT 8.0. The HadGEM2-ES MPI-ESM-MR models were used to simulate reference (1971–2000) short-term (2031–2040) long-term (2051–2060) periods under RCP4.5 RCP8.5 scenarios. effects evapotranspiration (ET o ), crop c (IWR) cultivation modeled. As a result, compared period, ET values increased by 4.5%–%17.1 (2.396–2.906 mm day −1 ) 5.8%–%17.7 (2.110–2.533 while 5.7%–%17.0 (438–595 season 6.3%–%17.0 (374–464 canola, respectively. IWR varied between −2.4 35.8% (158.8–321.3 − 2.5 48.8% (106.5–238.6 canola. When results obtained from are compared, it predicted that will be 11–14% higher, 14–23% 19–43% higher than In addition, an analysis relationship temperature , showed pattern > IWR, suggesting strongly influences not sole determinant IWR. These findings provide valuable projections farmers, agriculturalists, local administrators, planners, decision-makers support adaptation strategies variability.

Язык: Английский

Процитировано

0
The Effect of Climate Changes on Soil Fertility and Temperature Stress in Rice Cultivation DOI

Sakineh Mahdavi,

Mohammad Mohammadian, Keyvan Mahdavi Mashaki

и другие.

International Journal of Plant Production, Год журнала: 2025, Номер unknown

Опубликована: Фев. 4, 2025

Язык: Английский

Процитировано

0
Analyzing the Impact of Climate Change on Crop Water Demand in the Semi‐Arid Bilate Watershed, Ethiopia DOI Creative Commons
Yoseph Arba Orke, Amba Shalishe

Advances in Meteorology, Год журнала: 2025, Номер 2025(1)

Опубликована: Янв. 1, 2025

The aim of this study was to look at the potential effects climate change on Bilate watershed’s crop water requirements (CWRs). Under two scenarios (RCP4.5 and RCP8.5), CWR anticipated for 2021–2050 2071–2100. power transformation (PT) variance scaling (VARI) methods were employed correct biases in rainfall temperature variables, respectively. CROPWAT 8.0 model used simulate CWRs irrigation (CIRs) both current future periods. estimated results 2071–2100 reveal a drop effective ( Pe ) 29.6%–38% under RCP 4.5 24.7%–43.3% 8.5. would increase by 12.3–51 mm 16.3–62 8.5 per growing season, but rates decrease/increase vary crop. Similarly, following crops increased when compared baseline period: wheat (from 68.1 81.6 mm), tomato 163 193 sorghum 80 102 maize 121 134 cotton 192 cabbage 221 soybean 104 120 banana 95 135 mm). study’s findings are important demonstrating how has detrimental impact availability watershed, as well improving resource management planning.

Язык: Английский

Процитировано

0
Assessment of Catchment Water Resources Allocation under Climate Change in Luwombwa Sub-Catchment, Zambia DOI Creative Commons
Dickson Mwelwa, Phenny Mwaanga, Alick Nguvulu

и другие.

Heliyon, Год журнала: 2024, Номер 10(21), С. e39962 - e39962

Опубликована: Окт. 31, 2024

The uncertainty in climate change and high water demand pose pressure on the natural resources supply. Not only does this require better understanding but also a call for immediate interventions, mitigation adaptive measures. This study evaluates catchment Luwombwa sub-catchment Zambia through statistical analysis downscaling of past, present future climatic variables from CMIP6 model. These are then integrated into WEAP - semi-distributed hydrological evaluation model to perform allocation scenario modelling. Mult-site calibration validation were conducted five selected micro-catchments within sub-catchment. performance was assessed usng R

Язык: Английский

Процитировано

1
Study on optimization of maize irrigation scheduling in Shaanxi Province DOI Creative Commons
Keting Chen,

Liu Kejie,

Xudong Fang

и другие.

Frontiers in Environmental Science, Год журнала: 2024, Номер 12

Опубликована: Ноя. 6, 2024

With the impact of climate change in recent years, instability precipitation and increase evaporation have made water resources Shaanxi Province more stressed. How to maintain stable economic development while ensuring sustainable agriculture within limited has become an important issue facing Province. This paper analyzes temporal spatial distribution characteristics maize irrigation requirement based on meteorological data obtains ideal requirement. However, considering agricultural scarcity this region, establishes different scenarios, adopts Jensen model construct objective function aimed at minimizing crop yield reduction, solves it using a genetic algorithm obtain optimized scheduling under scenarios. The results analysis indicates following: (1) effective rainfall from 1960 2019 shows slight upward trend, downward trend. (2) decreases gradually north south. High-value areas are mainly distributed northern regions Yulin City Yan’an Shanbei. Low-value Ankang Shannan. (3) In face scarcity, spring should ensure use during middle growth period, fast initial periods. Under same conditions, reduction rate is highest Guanzhong, followed by Shannan, lowest aims provide scientific reasonable optimization plan for calculating analyzing Province, combined with tools such as algorithms, address challenges brought resource constraints.

Язык: Английский

Процитировано

0
Effect of stage‐wise deficit irrigation on crop water productivity of different varieties of teff (Eragrostis tef) DOI
Ligalem Agegn Asres, Melkamu Ateka Derebe

World Water Policy, Год журнала: 2024, Номер unknown

Опубликована: Дек. 3, 2024

Abstract The increasing demand for water various purposes is causing the availability of irrigation to decrease daily. Consequently, it necessary implement deficit irrigation. Research on different teff crop varieties and level with growth stages at semi‐arid agroecological zones remains inadequate. Therefore, objective this research was evaluate effect stage‐wise variety productivity crop. Two three levels were selected applied each stage. Crop determined by using consumed their yield production analyzed Statistix 10.0 software. results showed that had a significant productivity. maximum use efficiency (0.92 kg m −3 ) field (1.387 obtained 30% ripening stage Tseday variety. Contrarily, minimum CWUE FWUE 0.617 0.959 formation Quncho during not recommended, but possible apply improve in areas scarcity.

Язык: Английский

Процитировано

0
Analysis of lake changes and their influence factors in the Three River Regions from 2000 to 2020 in the Sanjiangyuan Region, China DOI Creative Commons
Yanan Hu, Hongmei Li, Di Yu

и другие.

Heliyon, Год журнала: 2024, Номер 10(15), С. e35672 - e35672

Опубликована: Авг. 1, 2024

An important factor for investigating climate change in the Sanjiangyuan is evolution of spatio-temporal pattern lakes this region. The present study used Google Earth Engine (GEE) platform to extract from 2000 2020. approach created a lake distribution dataset yearly and analyzed spatial temporal patterns over 20 years. analysis focused on reaction Lakes area changes climate, glaciers, permafrost. findings indicated that region contains 143 lakes, majority which are predominantly small, measuring 1-10 km

Язык: Английский

Процитировано

0
The effect of climate changes on soil fertility and temperature stress in rice cultivation DOI Creative Commons

Sakineh Mahdavi,

Mohammad Mohammadian, Keyvan Mahdavi Mashaki

и другие.

Research Square (Research Square), Год журнала: 2024, Номер unknown

Опубликована: Ноя. 7, 2024

Abstract In order to ensure food security for the future, finding optimal agricultural management in shadow of significant impact climate changes on crops is needed. This research related nutritional problems under effect future rice, at four levels nitrogen application treatments (0, 60, 90 and 120 Kg/ha) three planting densities (20cm × 20cm, 30cm 16cm, 14cm) two CO2 concentration scenario (RCP2.6 RCP6.0) 2044 2064, was conducted northern part Iran, using Aquacrop model. The introduced polynomial equation increased accuracy relationship between leaf area index canopy cover with an average error 16%. With increase fertilizer level density, crop production increased, observed maximum minimum yields 7and 3.7 ton/ha N3D1 N0D2 treatments, respectively. It that soil fertility stress led up 55% reduction biomass. By increasing temperature concentration, also highest value 45.5% RCP6.0 2064.There a possibility years which causes stomata closure early senescence, so our work 2% 5% decrease yield. water requirement from 305 mm base year 322 2064.Both WP* WUE were CO2, values 26 g/cm2 2.56 Kg/m3, respectively, 2064.

Язык: Английский

Процитировано

0