Change of Rice Yield Gaps and Influential Climatic Factors in Southern China

Abstract. With global climate changes intensifying, the hydrological response to climate changes has attracted more attention. It is beneficial not only for hydrology and ecology but also for water resource planning and management to understand the impact of climate change on runoff. In addition, there are large spatial variations in climate type and geographic characteristics across China. To gain a better understanding of the spatial variation of the response of runoff to changes in climatic factors and to detect the dominant climatic factors driving changes in annual runoff, we chose the climate elasticity method proposed by Yang and Yang (2011). It is shown that, in most catchments of China, increasing air temperature and relative humidity have negative impacts on runoff, while declining net radiation and wind speed have positive impacts on runoff, which slow the overall decline in runoff. The dominant climatic factors driving annual runoff are precipitation in most parts of China, net radiation mainly in some catchments of southern China, air temperature and wind speed mainly in some catchments in northern China.

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Contrasting Performance of the Remotely-Derived GPP Products over Different Climate Zones across China

Remote Sensing ◽

10.3390/rs11161855 ◽

2019 ◽

Vol 11 (16) ◽

pp. 1855 ◽

Cited By ~ 5

Author(s):

Yanan Chen ◽

Hongfan Gu ◽

Munan Wang ◽

Qing Gu ◽

Zhi Ding ◽

...

Keyword(s):

Large Scale ◽

Climatic Factors ◽

Southern China ◽

Gross Primary Production ◽

Terrestrial Ecosystems ◽

Northern China ◽

Tibet Plateau ◽

Semiarid Region ◽

Interannual Variations ◽

Climate Zones

Precise quantification of terrestrial gross primary production (GPP) has been recognized as one of the most important components in understanding the carbon balance between the biosphere and the atmosphere. In recent years, although many large-scale GPP estimates from satellite data and ecosystem models have been generated, few attempts have been made to compare the different GPP products at national scales, particularly for various climate zones. In this study, two of the most widely-used GPP datasets were systematically compared over the eight climate zones across China’s terrestrial ecosystems from 2001 to 2015, which included the moderate resolution imaging spectroradiometer (MODIS) GPP and the breathing Earth system simulator (BESS) GPP products. Additionally, the coarse (0.05o) GPP estimates from the vegetation photosynthesis model (VPM) at the same time scale were used for auxiliary analysis with the two products. Both MODIS and BESS products exhibited a decreasing trend from the southeast region to the northwest inland. The largest GPP was found in the tropical humid region with 5.49 g C m−2 d−1 and 5.07 g C m−2 d−1 for MODIS and BESS, respectively, while the lowest GPP was distributed in the warm temperate arid region, midtemperate semiarid region and plateau zone. Meanwhile, the work confirmed that all these GPP products showed apparent seasonality with the peaks in the summertime. However, large differences were found in the interannual variations across the three GPP products over different climate regions. Generally, the BESS GPP agreed better than the MODIS GPP when compared to the seasonal and interannual variations of VPM GPP. Furthermore, the spatial correlation analysis between terrestrial GPP and the climatic factors, including temperature and precipitation, indicated that natural rainfall dominated the variability in GPP of Northern China, such as the midtemperate semiarid region, while temperature was a key controlling factor in the Southern China and the Tibet Plateau area.

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Evaluating the effects of ground-level O3 on rice yield and economic losses in Southern China

Environmental Pollution ◽

10.1016/j.envpol.2020.115694 ◽

2020 ◽

Vol 267 ◽

pp. 115694

Author(s):

Jiachen Cao ◽

Xuemei Wang ◽

Hui Zhao ◽

Mingrui Ma ◽

Ming Chang

Keyword(s):

Rice Yield ◽

Southern China ◽

Ground Level ◽

Economic Losses

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Changes in Rice Yield Stability in Southern China from 1949 to 2015

ael ◽

10.2134/ael2017.11.0038 ◽

2018 ◽

Vol 3 (1) ◽

pp. 170038 ◽

Cited By ~ 3

Author(s):

Xiaohong Yin ◽

Min Huang ◽

Yingbin Zou

Keyword(s):

Rice Yield ◽

Southern China ◽

Yield Stability

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Modeling the global distribution of Culicoides imicola: an Ensemble approach

Scientific Reports ◽

10.1038/s41598-019-50765-1 ◽

2019 ◽

Vol 9 (1) ◽

Cited By ~ 1

Author(s):

Samson Leta ◽

Eyerusalem Fetene ◽

Tesfaye Mulatu ◽

Kebede Amenu ◽

Megarsa Bedasa Jaleta ◽

...

Keyword(s):

Land Cover ◽

Climatic Factors ◽

Southern China ◽

Global Distribution ◽

Maximum Temperature ◽

Ensemble Model ◽

Culicoides Imicola ◽

Annual Minimum Temperature ◽

The Tropics ◽

Annual Maximum Temperature

Abstract Culicoides imicola is a midge species serving as vector for a number of viral diseases of livestock, including Bluetongue, and African Horse Sickness. C. imicola is also known to transmit Schmallenberg virus experimentally. Environmental and demographic factors may impose rapid changes on the global distribution of C. imicola and aid introduction into new areas. The aim of this study is to predict the global distribution of C. imicola using an ensemble modeling approach by combining climatic, livestock distribution and land cover covariates, together with a comprehensive global dataset of geo-positioned occurrence points for C. imicola. Thirty individual models were generated by ‘biomod2’, with 21 models scoring a true skill statistic (TSS) >0.8. These 21 models incorporated weighted runs from eight of ten algorithms and were used to create a final ensemble model. The ensemble model performed very well (TSS = 0.898 and ROC = 0.991) and indicated high environmental suitability for C. imicola in the tropics and subtropics. The habitat suitability for C. imicola spans from South Africa to southern Europe and from southern USA to southern China. The distribution of C. imicola is mainly constrained by climatic factors. In the ensemble model, mean annual minimum temperature had the highest overall contribution (42.9%), followed by mean annual maximum temperature (21.1%), solar radiation (13.6%), annual precipitation (11%), livestock distribution (6.2%), vapor pressure (3.4%), wind speed (0.8%), and land cover (0.1%). The present study provides the most up-to-date predictive maps of the potential distributions of C. imicola and should be of great value for decision making at global and regional scales.

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Rice yield development and the shrinking yield gaps in China, 1981–2008

Regional Environmental Change ◽

10.1007/s10113-017-1168-7 ◽

2017 ◽

Vol 17 (8) ◽

pp. 2397-2408 ◽

Cited By ~ 9

Author(s):

Yi Chen ◽

Pin Wang ◽

Zhao Zhang ◽

Fulu Tao ◽

Xing Wei

Keyword(s):

Rice Yield ◽

Yield Gaps

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Spatial and temporal pattern of rice yield growth in Asian countries from 1961 to 2016: An exploratory econometric analysis

Ekonomika poljoprivrede ◽

10.5937/ekopolj2101023m ◽

2021 ◽

Vol 68 (1) ◽

pp. 23-35

Author(s):

Debabrata Mukhopadhyay

Keyword(s):

Temporal Pattern ◽

Rice Yield ◽

Production Cross ◽

Structural Break ◽

Technological Innovations ◽

Asian Countries ◽

Acceleration And Deceleration ◽

Yield Gaps ◽

Cross Country ◽

Structural Break Tests

The present paper attempts to find out the spatial and temporal movement of rice yield in twelve countries in Asia which is its lifeline over the period 1961 to 2016 by following Bai-Perron multiple structural break tests. The results based on endogenous multiple structural break analysis show that many of these countries passed through several phases of acceleration and deceleration in rice yield over this period The results also demonstrate that except Japan, all the twelve countries considered in our study experienced at least one structural break in rice yield at level during the period 1961 to 2016. The acceleration phases of rice yield growth observed mostly during 1970's and 1980's are resulted from improved technological innovations in agriculture whereas deceleration phases observed in the last two decades are mainly caused by environmental challenges on rice production. Cross country yield gaps have been showing declining trend since early 80's.

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EFFECT OF THE CHANGE OF CLIMATE INDICATORS ON AGRICULTURAL YIELDS IN SON LA

Vietnam Journal of Science and Technology ◽

10.15625/2525-2518/55/6/8777 ◽

2017 ◽

Vol 55 (6) ◽

pp. 756

Author(s):

Nguyen The Hung ◽

Nguyen Huu Quyen

Keyword(s):

Climate Change ◽

Rice Yield ◽

Climatic Factors ◽

Annual Rainfall ◽

Absolute Minimum ◽

Spring Crop ◽

Climate Indicators ◽

Agricultural Yields ◽

Crops Yield ◽

Summer Crop

Due to climate change, the agro-climatic indicators in Son La province has changed in the following trends: (i) the total heat in the Winter - Spring crop and the Summer crop as well as the total annual heat have increased; (ii) The amount of time in a year with temperature below 20 degrees has shortened; the amount of time in a year with temperatures above 25 degrees has lengthened; (iii) the absolute minimum temperature tends to increase rapidly; (iv) the rainfall in Winter - Spring crop has increased slightly whereas the season rainfall and total annual rainfall tend to decrease. The climatic factors in Son La province obviously affect rice yield in the Winter - Spring crop, the Summer crop as well as corn and soybeans. However, compared with other crops, soybean yield is less related to climatic factors. There are major differences in climate characteristics between the high and the low crops yield year. However, these differences depend on the type of the crop and the harvest season.

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