Impacts of Climate Change on Growth Period and Planting Boundaries of Spring Wheat in China Under RCP4.5 Scenario

Sun, Zhen; Jia, Shuangshuang; Lv, Aifeng; Yan-chun, Gao

doi:10.5814/j.issn.1674-764x.2016.01.001

Cited by 3 publications

(1 citation statement)

References 20 publications

(18 reference statements)

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“…Under natural conditions, the growth, development and yield formation of crops are the result of the interaction of many climatic and management factors [15][16][17], which is manifested as multi-dimensional features. This feature makes it difficult to clearly determine the internal mechanism and contribution degree of climate change on the crop phenotype, which increases uncertainty in climate change impacts and projections [18]. We must consider how to use the natural environment for research [19][20][21][22][23][24], making it important to find phenotypic parameters that are readily available and more sensitive and quickly reflect complex environmental changes.…”

Section: Introductionmentioning

confidence: 99%

Response and inversion of skewness parameters to meteorological factors based on RGB model of leaf color digital image

Zhang,

Chen,

Wang

et al. 2023

PLoS ONE

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In the natural environment, complex and changeable meteorological factors can influence changes in the internal physiology and phenotype of crops. It is important to learn how to convert complex meteorological factor stimuli into plant perception phenotypes when analyzing the biological data obtained under the natural field condition. We restored the true gradation distribution of leaf color, which is also known as the skewed distribution of color scale, and obtained 20 multi-dimensional color gradation skewness-distribution (CGSD) parameters based on the leaf color skewness parameter system. Furthermore, we analyzed the correlation between the five corresponding meteorological factors and canopy CGSD parameters of peppers growing in a greenhouse and cabbages growing in an open air environment, built response model and inversion mode of leaf color to meteorological factors. Based on the analysis, we find a new method for correlating complex environmental problems with multi-dimensional parameters. This study provides a new idea for building a correlation model that uses leaf color as a bridge between meteorological factors and plants internal physiological state.

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Section: Introductionmentioning

confidence: 99%

Response and inversion of skewness parameters to meteorological factors based on RGB model of leaf color digital image

Zhang,

Chen,

Wang

et al. 2023

PLoS ONE

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Farmers’ Risk Preferences and Agricultural Weather Index Insurance Uptake in Rural China

Jia

Wang

2016

Int J Disaster Risk Sci

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The purpose of this study is to investigate the effect of farmers' risk preferences on their decisions to purchase the agricultural weather index insurance based on the evidence from a household survey and field experiments conducted in Yongqiao District, Suzhou City of Anhui Province in China. Our empirical results show that farmers' risk aversion significantly increases the probability of their decision to buy weather index-based crop insurance. Other factors that significantly influence weather index insurance participation decisions include farmers' subjective beliefs on the probability of crop losses, farming experience, education level, farm size, and their household income. The empirical results of this study can provide helpful insights for policymakers and local insurers to further improve farmers' participation in weather indexbased crop insurance.

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Effects of climate change on the heating indices in central heating zone of China

Yuehao

Guo

Yuan

et al. 2021

Building and Environment

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Impacts of Climate Change on Growth Period and Planting Boundaries of Spring Wheat in China Under RCP4.5 Scenario

Cited by 3 publications

References 20 publications

Response and inversion of skewness parameters to meteorological factors based on RGB model of leaf color digital image

Response and inversion of skewness parameters to meteorological factors based on RGB model of leaf color digital image

Farmers’ Risk Preferences and Agricultural Weather Index Insurance Uptake in Rural China

Effects of climate change on the heating indices in central heating zone of China

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