Assessment of Agricultural Drought Vulnerability in the Guanzhong Plain, China

Wu, Hao; Qian, Hui; Chen, Jie; Huo, Chenchen

doi:10.1007/s11269-017-1594-9

Cited by 73 publications

(28 citation statements)

References 40 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In general, agricultural vulnerability is a variable condition generated by multiple environmental and social processes, and would depend and differ on diverse contexts and circumstances [41]. A large body of literature is, however, based on climatic parameters (e.g., temperature, rainfall, precipitation), crops and agriculture production [43][44][45][46], while a smaller body of scholarship is based on other socio-economic factors, such as economic development, agricultural production, human culture [47], budget and investments [43], national and local economies, market prices, farmers welfare [48], cultural settings: cumulatively all these elements affect the agricultural vulnerability, particularly in developing countries [38,49].…”

Section: Literature Reviewmentioning

confidence: 99%

Assessing the Vulnerability of Agriculture Systems to Climate Change in Coastal Areas: A Novel Index

et al. 2020

View full text Add to dashboard Cite

This study proposes a novel index to evaluate agricultural vulnerability to climate change in coastal areas, using the case of Andhra Pradesh, the state with the second longest coastline in India. Field data was collected from more than 1000 farmers (involved in over 50 varieties of crops) in 22 riverine and coastal case study areas. Data was collected through site visits, surveys and five workshops conducted between November 2018 and June 2019. Based on the collected data sets, a new Agricultural Coastal Vulnerability Index (AGCVI) was developed and applied to the 22 sites located in two districts (Krishna and Guntur) of Coastal Andhra Pradesh. The analysis revealed that the areas with three crop seasons (Kharif, Rabi and Zaid) per year are highly vulnerable to climate change. On the other hand, sites with one crop season (Kharif) per annum are the least vulnerable to climate change. Moreover, grains (particularly rice), flowers and fruit crops are more susceptible to climate change and its induced impacts. Rice is no longer a profitable crop in the case study areas partly as a result of unfavourable weather conditions, inadequate insurance provision and lack of government support for farmers. Cumulatively, all these circumstances impact farmers’ incomes and socio-cultural practices: this is leading to a marriage crisis, with a reduction in the desirability of matrimony to farmers. These findings provide valuable information that can support climate and agriculture policies, as well as sustainable cropping patterns among farmers’ communities in coastal areas of India in the future.

show abstract

Section: Literature Reviewmentioning

confidence: 99%

Assessing the Vulnerability of Agriculture Systems to Climate Change in Coastal Areas: A Novel Index

et al. 2020

View full text Add to dashboard Cite

show abstract

“…The mean annual temperature varies from 7.2 °C to 15.2 °C (Wu and Sun, 2016). Precipitation concentrates in July and August, and the precipitation in the two months accounts for nearly 50% of the annual total (Wu et al, 2017). The irrigation areas enjoy abundant sunshine, with a multi-year average sunshine duration of 1,900-2,400 h. Annual actural evapotranspiration in the irrigation areas is 900-1200 mm (Wu et al, 2017).…”

Section: The Study Areamentioning

confidence: 99%

“…Precipitation concentrates in July and August, and the precipitation in the two months accounts for nearly 50% of the annual total (Wu et al, 2017). The irrigation areas enjoy abundant sunshine, with a multi-year average sunshine duration of 1,900-2,400 h. Annual actural evapotranspiration in the irrigation areas is 900-1200 mm (Wu et al, 2017). The difference between annual evapotranspiration and precipitation is relatively great, with the highest in summer and lowest in winter and the difference in spring is higher than that in autumn.…”

Section: The Study Areamentioning

confidence: 99%

Agricultural Water-Saving Potential for Guanzhong Irrigation Areas Under Different Guaranteed Rates of Precipitation

Yin¹

2017

Appl. Ecol. Env. Res.

View full text Add to dashboard Cite

Abstract. The Agricultural Water-saving Potential (AWP) has important influences on water-saving technology development, regional irrigation water management, agricultural production and water ecological balance protection. The study aims to design a reasonable methodology to calculate the AWP and analysis the AWP of Guanzhong irrigation area, in Weihe River Basin of China. The AWP was divided into resource-based AWP and efficiency-based AWP. The former was calculated according to the coefficient of water transmission in canals and irrigation in the field. The latter was estimated on the basis of the field evapotranspiration. The guaranteed rates of precipitation were chosen as the hydrologic conditions. Under the guaranteed rates of 25%, 50%, 75%, 90% and 95%, the annual total AWPs of the Guanzhong irrigation areas reached 30.69×106 m 3 , 111.67×106 m 3 , 11.75×106 m 3 , 12.52×106 m 3 , and 14.76×106 m 3 respectively. The efficiency-based AWP occupied a proportion of more than 50% in each condition, which indicated that the improvement of water utilization efficiency should be in preference to improvement of water conveyance efficiency in technology innovation. Summer maize, fruit tree and cotton made the largest contribution to efficiency-based AWP while there was not a big difference among the 3 crops in various irrigated areas when it came to the AWP per unit area, and their average values were 9.4, 6.3 and 4.3 mm respectively. Then the study comes up with measures and suggestions to improve the AWP according to the planting structures and features of the 9 irrigated areas. This method takes into account the water consumption during the processes of irrigation and crop growth. It can provide the support for water saving agriculture. The accurate calculation of water dissipation coefficient is the key to the efficiency of the AWP method, and the stability of the measurement coefficient will be improved in the future.

show abstract

“…Yin et al [22] proposed a crop drought loss risk assessment model which was appropriate for large regional scale by combining EPIC and Geographic Information System. Sensitivity was the most basic link connecting drought events to agricultural production losses [23]. However, crop drought loss sensitivity has not been defined clearly and quantitatively [24].…”

Section: Introductionmentioning

confidence: 99%

Simulated Assessment of Summer Maize Drought Loss Sensitivity in Huaibei Plain, China

et al. 2019

View full text Add to dashboard Cite

In an agricultural drought risk system, crop drought loss sensitivity evaluation is a fundamental link for quantitative agricultural drought loss risk assessment. Summer maize growth processes under various drought patterns were simulated using the Cropping System Model (CSM)-CERES-maize, which was calibrated and validated based on pit experiments conducted in the Huaibei Plain during 2016 and 2017 seasons. Then S-shaped maize drought loss sensitivity curve was built for fitting the relationship between drought hazard index intensity at a given stage and the corresponding dry matter accumulation and grain yield loss rate, respectively. Drought stress reduced summer maize evapotranspiration, dry matter, and yield accumulation, and the reductions increased with the drought intensity at each stage. Moreover, the losses caused by drought at different stages were significantly different. When maize plants were exposed to a severe water deficit at the jointing stage, the dry matter and grain yield formation were greatly affected. Therefore, maize growth was more sensitive to drought stress at the jointing stage when the stress was serious. Furthermore, when plants encountered a relatively slight drought during the seedling or jointing stage, which represented as a lower soil water deficit intensity, the grain yield loss rates approached the maximum for the sensitivity curves of these two stages. Therefore, summer maize tolerance to water deficit at the seedling and jointing stages were weak, and yield formation was more sensitive to water deficit during these two stages when the deficit was relatively slight.

show abstract

Assessment of Agricultural Drought Vulnerability in the Guanzhong Plain, China

Cited by 73 publications

References 40 publications

Assessing the Vulnerability of Agriculture Systems to Climate Change in Coastal Areas: A Novel Index

Assessing the Vulnerability of Agriculture Systems to Climate Change in Coastal Areas: A Novel Index

Agricultural Water-Saving Potential for Guanzhong Irrigation Areas Under Different Guaranteed Rates of Precipitation

Simulated Assessment of Summer Maize Drought Loss Sensitivity in Huaibei Plain, China

Contact Info

Product

Resources

About