The relationship between extreme weather events and crop losses in central Taiwan

Lai, Li-Wei

doi:10.1007/s00704-017-2261-z

Cited by 9 publications

(5 citation statements)

References 28 publications

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“…In this study, we refined data from the Report on Crop Production Loss Caused by Disasters of Taiwan (hereafter, the Report) from 2003 to 2022 to establish a crop disaster dataset. Data from this report have previously been used to elucidate the relationships between disasters and crop production losses 18 – 20 . Extreme wind speed and heavy rainfall result in losses of grain and vegetable crops 18 .…”

Section: Background and Summarymentioning

confidence: 99%

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County-scale dataset indicating the effects of disasters on crops in Taiwan from 2003 to 2022

Su,

Shen,

et al. 2024

Sci Data

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A lack of crop disaster datasets has limited the exploration of the influence of small-scale disasters on crops. Because disasters are often defined on the basis of human impact, disaster databases may underestimate the effect of disasters on crop production. Additionally, the resolution of such databases is insufficient for evaluating the effects of disasters on small areas. In this study, crop disaster and daily weather datasets covering the period from 2003 to 2022 in Taiwan were developed. Total 9,245 damage records from 233 observations of crop disasters were mined from the Report on Crop Production Loss Caused by Disasters of Taiwan. Daily weather data were collected from weather stations. Entire crop disaster information including multiple disasters, crops, and affected regions was stored in crop disaster dataset. All datasets were cleaned up and refined to enhance their quality, and characteristics such as disaster and crop classification were added to enhance the applicability of these datasets. These datasets can be used to determine the relationship between disaster type and crop production losses.

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Section: Background and Summarymentioning

confidence: 99%

“…Data from this report have previously been used to elucidate the relationships between disasters and crop production losses 18 – 20 . Extreme wind speed and heavy rainfall result in losses of grain and vegetable crops 18 . Our dataset includes different types and scales of disasters with corresponding crop damage records.…”

Section: Background and Summarymentioning

confidence: 99%

County-scale dataset indicating the effects of disasters on crops in Taiwan from 2003 to 2022

Su,

Shen,

et al. 2024

Sci Data

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“…High winds associated with severe storms can destroy trees and houses, break plant stems and knock fruits, nuts and grains to the ground, with tolerance thresholds depending on crop species and developmental stage (Seidl et al, 2017;Lai, 2018;Elsner et al, 2019;Grotjahn, 2021). Severe storms particularly threaten energy infrastructure, with maximum wind speed associated with treefall and breaking of above-ground electrical transmission lines (Ward, 2013;Nik et al, 2020).…”

Section: Severe Wind Stormmentioning

confidence: 99%

Climate Change Information for Regional Impact and for Risk Assessment

2023

Climate Change 2021 – The Physical Science Basis

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“…This would make them more vulnerable to any subsequent shocks. In fact, research shows that compared to isolated extreme weather events or gradual climate change, consecutive years of dry or wet periods are more likely to increase vulnerability (Droogers & Aerts, 2005;Lai, 2018). Consequently, the marginal effects of adverse weather conditions on violent unrest could increase as the number and frequency of weather shocks increase in the long run.…”

Section: Associations Between Weather Conditions and Conflict In The Long Runmentioning

confidence: 99%

Temperatures, food riots, and adaptation: A long-term historical analysis of England

Juan

Wegenast

2019

Journal of Peace Research

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A large body of research indicates that environmental conditions can influence the risk of social unrest. However, we know little about how these effects may change in the long run. Are they likely to remain constant or do they change over time – for example as a consequence of human adaptation? To investigate this question, we rely on a disaggregated analysis of England over a period of more than 300 years. Combining data on geo-referenced food riots with reconstructed climate data, we first assess the impact of annual temperatures on social unrest over the period 1500–1817. We then use our long-term time-series dataset to assess the temporal heterogeneity of year-to-year associations between temperatures and social conflict. Our models show a substantive negative correlation between temperatures and food riots in the aggregate. This association, however, seems to be highly inconsistent over time and largely confined to the 18th century. In addition, we find evidence of decadal processes of adaptation: past exposure to adverse weather conditions dampens the effect of current exposure. Taken together, these findings underline the importance of considering temporal heterogeneities when assessing the climate–conflict nexus and caution against any simple extrapolations of observable present-day effects of environmental conditions into the future.

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The relationship between extreme weather events and crop losses in central Taiwan

Cited by 9 publications

References 28 publications

County-scale dataset indicating the effects of disasters on crops in Taiwan from 2003 to 2022

County-scale dataset indicating the effects of disasters on crops in Taiwan from 2003 to 2022

Climate Change Information for Regional Impact and for Risk Assessment

Temperatures, food riots, and adaptation: A long-term historical analysis of England

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