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Tianyi Zhang

Researcher at Chinese Academy of Sciences

Publications -  53
Citations -  4111

Tianyi Zhang is an academic researcher from Chinese Academy of Sciences. The author has contributed to research in topics: Climate change & Environmental science. The author has an hindex of 16, co-authored 44 publications receiving 3116 citations. Previous affiliations of Tianyi Zhang include China Agricultural University & Kansas State University.

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The impacts of climate change on water resources and agriculture in China

TL;DR: It is found that notwithstanding the clear warming that has occurred in China in recent decades, current understanding does not allow a clear assessment of the impact of anthropogenic climate change on China’s water resources and agriculture and therefore China's ability to feed its people.
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Climate warming over the past three decades has shortened rice growth duration in China and cultivar shifts have further accelerated the process for late rice

TL;DR: The results suggest that a major, temperature induced change in the rice growth duration is underway in China and that using a short-duration cultivar has been accelerating the process for late rice.
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Responses of rice yields to recent climate change in China: An empirical assessment based on long-term observations at different spatial scales (1981–2005)

TL;DR: This article showed that rice yields were positively correlated to solar radiation, which primarily drives yield variation. But, their empirical results argue against the often-cited hypothesis of lower yields with higher temperature and there was no significant negative correlation between them.
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Impacts of climate change and inter-annual variability on cereal crops in China from 1980 to 2008

TL;DR: It is inter-annual variations in precipitation and solar radiation that have driven change in cereal yields in China over the last three decades, suggesting droughts reduced yield due to lack of water resources.
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Correlation between temperature and phenology prediction error in rice (Oryza sativa L.)

TL;DR: Zhang et al. as mentioned in this paper showed that the use of default cardinal temperatures can lead to correlation between temperature and phenology prediction error and temperature and RMSE values in the order of 4-18 days for the period from emergence to flowering.