Limiting global warming to 2 °C benefits building climate resilience in rice-wheat systems in India through crop calendar management

Wang, Xiaobo; Wang, Shaoqiang; Folberth, Christian; Skalsky, Rastislav; Li, Hui; Liu, Yuanyuan; Balkovic, Juraj

doi:10.1016/j.agsy.2023.103806

Cited by 3 publications

(1 citation statement)

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“…In the context of climate change, continued warming is projected to result in shorter crop growth periods, lower rice productivity, and food insecurity in the Asian monsoon region (Carleton, 2017;Zhao et al, 2017;IPCC, 2022). Revealing changes in rice phenology will facilitate timely adjustment of planting time, rice cultivars, and cropping systems under global warming (Waha et al, 2013;Wang et al, 2022Wang et al, , 2024. Moreover, a dynamic rice calendar with key phenological dates is integral to agricultural monitoring and farmer support systems (Laborte et al, 2017;Fritz et al, 2019;Mishra et al, 2021).…”

Section: Introductionmentioning

confidence: 99%

ChinaRiceCalendar-Seasonal Crop Calendars for Early, Middle, and Late Rice in China

Wang

et al. 2023

Preprint

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Abstract. Long-time series and large-scale crop calendars provide valuable information for rational crop cultivation and management under climate change scenarios as a prerequisite for ensuring regional food security. Although some Chinese rice phenological products exist, there is a lack of studies on the long rice cropping calendar for early, middle, and late rice according to the actual cropping dates. Unlike in-situ monitoring and statistical rice phenology information, long-time series medium-resolution remote sensing satellite images provide the possibility and accuracy of real-time crop phenology monitoring. Based on MODIS data products and the improved PhenoRice algorithm, this study obtained phenological information on rice in seven major agricultural zones in China from 2003 to 2020. First, to effectively explore the changes in rice growing seasons over 18 years, we identified early, middle, and late rice according to specific cropping dates. Second, we selected 30 % of the recorded phenology data from Agricultural Meteorological Stations (AMSs) for parameter calibration and added a season division module to the PhenoRice algorithm to obtain a 250 m resolution raster dataset of rice crop calendars named ChinaRiceCalendar. However, it is consistent with the station data, RiceAtlas, and ChinaCropPhen1km. The validation accuracy R2 exceeded 0.95, 0.75, and 0.7 with the data recorded from AMSs, RiceAtlas, and ChinaCropPhen1km, respectively. In addition, we observed that the rice planting dates in China were delayed by 2.4 days/10a while the maturity dates were earlier by 5.5 days/10a during 2003–2020. ChinaRiceCalendar provides insights into practical rice farming measures and the response of rice cropping dates to environmental conditions across China.

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Section: Introductionmentioning

confidence: 99%

ChinaRiceCalendar-Seasonal Crop Calendars for Early, Middle, and Late Rice in China

Wang

et al. 2023

Preprint

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Risk-based evaluations of competing agronomic climate adaptation strategies: The case of rice planting strategies in the indo-Gangetic Plains

Mkondiwa,

Urfels

2024

Agricultural Systems

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ChinaRiceCalendar – seasonal crop calendars for early-, middle-, and late-season rice in China

Li,

Wang,

Wang

et al. 2024

Earth Syst. Sci. Data

Self Cite

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Abstract. Long time series and large-scale rice calendar datasets provide valuable information for agricultural planning and field management in rice-based cropping systems. However, current regional-level rice calendar datasets do not accurately distinguish between rice seasons in China, causing uncertainty in crop model simulation and climate change impact analysis. Based on satellite remote sensing data, we extracted transplanting, heading, and maturity dates of early-, middle-, and late-season rice across China from 2003 to 2022 and established a multi-season rice calendar dataset named ChinaRiceCalendar (https://doi.org/10.7910/DVN/EUP8EY, Liu et al., 2023). Overall, the ChinaRiceCalendar dataset shows good agreement with field-observed phenological dates of early-, middle-, and late-season rice in Chinese agricultural meteorological stations (AMSs). According to the calendar data from 2003 to 2022 in China, the transplanting dates for early-, middle-, and late-season rice shifted by +0.7, −0.7, and −5.1 DOY (day of year) per decade, respectively; the heading dates for early-, middle-, and late-season rice shifted by −0.5, +2.7, and −0.6 DOY per decade, respectively; the maturity dates for early-, middle-, and late-season rice shifted by −0.7, +3.8, and −1.6 DOY per decade, respectively. ChinaRiceCalendar can be utilized to investigate and optimize the spatiotemporal structure of rice cultivation in China under climate and land use change.

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Limiting global warming to 2 °C benefits building climate resilience in rice-wheat systems in India through crop calendar management

Cited by 3 publications

References 46 publications

ChinaRiceCalendar-Seasonal Crop Calendars for Early, Middle, and Late Rice in China

ChinaRiceCalendar-Seasonal Crop Calendars for Early, Middle, and Late Rice in China

Risk-based evaluations of competing agronomic climate adaptation strategies: The case of rice planting strategies in the indo-Gangetic Plains

ChinaRiceCalendar – seasonal crop calendars for early-, middle-, and late-season rice in China

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