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Dr. Christopher Bryant
Adjunct Professor, Geography, University of Montreal, Montreal, QC, Canada

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Research Keywords & Expertise

0 Community Participation
0 Land Use Planning
0 Rural Development
0 The adaptation of human activities to climatic change, especially agriculture
0 Sustainable community development

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Short Biography

PhD, LSE; Professor: Hundreds of publications & presentations. Research includes urban agriculture & climate change adaptation. In top 5% of Research Gate researchers.

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Journal article
Published: 05 May 2021 in Remote Sensing
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With the recent developments of unmanned aerial vehicle (UAV) remote sensing, it is possible to monitor the growth condition of trees with the high temporal and spatial resolutions of data. In this study, the daily high-throughput RGB images of pear trees were captured from a UAV platform. A new index was generated by integrating the spectral and textural information using the improved adaptive feature weighting method (IAFWM). The inter-relationships of the air climatic variables and the soil’s physical properties (temperature, humidity and conductivity) were firstly assessed using principal component analysis (PCA). The climatic variables were selected to independently build a linear regression model with the new index when the cumulative variance explained reached 99.53%. The coefficient of determination (R2) of humidity (R2 = 0.120, p = 0.205) using linear regression analysis was the dominating influencing factor for the growth of the pear trees, among the air climatic variables tested. The humidity (%) in 40 cm depth of soil (R2 = 0.642, p < 0.001) using a linear regression coefficient was the largest among climatic variables in the soil. The impact of climatic variables on the soil was commonly greater than those in the air, and the R2 grew larger with the increasing depth of soil. The effects of the fluctuation of the soil-climatic variables on the pear trees’ growth could be detected using the sliding window method (SWM), and the maximum absolute value of coefficients with the corresponding day of year (DOY) of air temperature, soil temperature, soil humidity, and soil conductivity were confirmed as 221, 227, 228, and 226 (DOY), respectively. Thus, the impact of the fluctuation of climatic variables on the growth of pear trees can last 14, 8, 7, and 9 days, respectively. Therefore, it is highly recommended that the adoption of the integrated new index to explore the long-time impact of climate on pears growth be undertaken.

ACS Style

Yahui Guo; Shouzhi Chen; Zhaofei Wu; Shuxin Wang; Christopher Robin Bryant; Jayavelu Senthilnath; Mario Cunha; Yongshuo Fu. Integrating Spectral and Textural Information for Monitoring the Growth of Pear Trees Using Optical Images from the UAV Platform. Remote Sensing 2021, 13, 1795 .

AMA Style

Yahui Guo, Shouzhi Chen, Zhaofei Wu, Shuxin Wang, Christopher Robin Bryant, Jayavelu Senthilnath, Mario Cunha, Yongshuo Fu. Integrating Spectral and Textural Information for Monitoring the Growth of Pear Trees Using Optical Images from the UAV Platform. Remote Sensing. 2021; 13 (9):1795.

Chicago/Turabian Style

Yahui Guo; Shouzhi Chen; Zhaofei Wu; Shuxin Wang; Christopher Robin Bryant; Jayavelu Senthilnath; Mario Cunha; Yongshuo Fu. 2021. "Integrating Spectral and Textural Information for Monitoring the Growth of Pear Trees Using Optical Images from the UAV Platform." Remote Sensing 13, no. 9: 1795.

Journal article
Published: 11 January 2021 in Forests
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Timely monitoring of the changes in coverage and growth conditions of vegetation (forest, grass) is very important for preserving the regional and global ecological environment. Vegetation information is mainly reflected by its spectral characteristics, namely, differences and changes in green plant leaves and vegetation canopies in remote sensing domains. The normalized difference vegetation index (NDVI) is commonly used to describe the dynamic changes in vegetation, but the NDVI sequence is not long enough to support the exploration of dynamic changes due to many reasons, such as changes in remote sensing sensors. Thus, the NDVI from different sensors should be scientifically combined using logical methods. In this study, the Global Inventory Modeling and Mapping Studies (GIMMS) NDVI from the Advanced Very High Resolution Radiometer (AVHRR) and Moderate-resolution Imaging Spectroradiometer (MODIS) NDVI are combined using the Savitzky–Golay (SG) method and then utilized to investigate the temporal and spatial changes in the vegetation of the Ruoergai wetland area (RWA). The dynamic spatial and temporal changes and trends of the NDVI sequence in the RWA are analyzed to evaluate and monitor the growth conditions of vegetation in this region. In regard to annual changes, the average annual NDVI shows an overall increasing trend in this region during the past three decades, with a linear trend coefficient of 0.013/10a, indicating that the vegetation coverage has been continuously improving. In regard to seasonal changes, the linear trend coefficients of NDVI are 0.020, 0.021, 0.004, and 0.004/10a for spring, summer, autumn, and winter, respectively. The linear regression coefficient between the gross domestic product (GDP) and NDVI is also calculated, and the coefficients are 0.0024, 0.0015, and 0.0020, with coefficients of determination (R2) of 0.453, 0.463, and 0.444 for Aba, Ruoergai, and Hongyuan, respectively. Thus, the positive correlation coefficients between the GDP and the growth of NDVI may indicate that increased societal development promotes vegetation in some respects by resulting in the planting of more trees or the promotion of tree protection activities. Through the analysis of the temporal and spatial NDVI, it can be assessed that the vegetation coverage is relatively large and the growth condition of vegetation in this region is good overall.

ACS Style

Yahui Guo; Jing Zeng; Wenxiang Wu; Shunqiang Hu; Guangxu Liu; Linsheng Wu; Christopher Robin Bryant. Spatial and Temporal Changes in Vegetation in the Ruoergai Region, China. Forests 2021, 12, 76 .

AMA Style

Yahui Guo, Jing Zeng, Wenxiang Wu, Shunqiang Hu, Guangxu Liu, Linsheng Wu, Christopher Robin Bryant. Spatial and Temporal Changes in Vegetation in the Ruoergai Region, China. Forests. 2021; 12 (1):76.

Chicago/Turabian Style

Yahui Guo; Jing Zeng; Wenxiang Wu; Shunqiang Hu; Guangxu Liu; Linsheng Wu; Christopher Robin Bryant. 2021. "Spatial and Temporal Changes in Vegetation in the Ruoergai Region, China." Forests 12, no. 1: 76.

Original article
Published: 07 January 2021 in Journal of Public Health
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The impacts of the COVID-19 pandemic were very significant on the population following the application of total and partial confinement measures. Our study aimed to investigate the social and mobility impact of confinement on the Algerian population using a cross-sectional survey launched after 3 days of the start of confinement to quickly assess the impacts during the period of March 23 to April 12, 2020. We used an online questionnaire to obtain 678 responses from internet users, who were living in confinement in Algeria. According to the gender variable, our sample included 405 men (59.7%) and 273 women (40.3%). The statistical analysis performed showed that road interactions and mobility are only part of the social interactions, and that 95.1% of the respondents avoided family visits during these first 3 weeks of confinement. Of respondents, 85.5% spend a considerable amount of time chatting with family, 66.6% found the diet beneficial during this period, 57% participated in sports to preserve their health, 87.2% of respondents respected the travel ban, only 20.2% of those surveyed used a bicycle for travel, and 55.9% traveled on foot to go shopping. The study also showed significant impacts on the social aspects linked to travel, namely family relationships and sports activities, as well as significant impacts on the mobility of people.

ACS Style

Saad Eddine Boutebal; Azzeddine Madani; Christopher Robin Bryant. COVID-19 pandemic: rapid survey on social and mobility impact in Algerian cities. Journal of Public Health 2021, 1 -10.

AMA Style

Saad Eddine Boutebal, Azzeddine Madani, Christopher Robin Bryant. COVID-19 pandemic: rapid survey on social and mobility impact in Algerian cities. Journal of Public Health. 2021; ():1-10.

Chicago/Turabian Style

Saad Eddine Boutebal; Azzeddine Madani; Christopher Robin Bryant. 2021. "COVID-19 pandemic: rapid survey on social and mobility impact in Algerian cities." Journal of Public Health , no. : 1-10.

Journal article
Published: 04 December 2020 in Sustainability
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Phenological variables are closely correlated with rice (Oryza sativa L.) yields as they play important roles in influencing and controlling the carbon allocations between plant organs, but their impacts on rice yields and their relative importance compared with climatic variables are not yet well investigated. In this study, the impacts and the relative importance of climatic and phenological variables on the yields of early mature rice were assessed using the trial data from 75 agricultural stations across China, spanning from 1981–2010. We found that both daily maximum (Tmax) and daily minimum (Tmin) temperatures during the growing season (from transplanting to maturity) increased significantly, while sunshine duration (SD) and precipitation (Prep) did not change significantly. The average transplanting date was advanced by 3.18 days/decade, and the heading (maturity) dates were delayed by 2.47 (4.55) days/decade, with yields significantly increased by 9.65 g/m3 per decade across all sites. Partial correlation coefficients between most phenological variables and rice yields were negative, whereas most of the climatic variables were positively correlated with rice yields. The average of partial correlation coefficients between transplanting, heading, and maturity dates and rice yields were −0.10, −0.15, and −0.01, respectively, and the average of coefficients between Tmax, Tmin, SD, and Prep and rice yields were 0.08, 0.02, 0.12, and −0.05, respectively. Interestingly enough, phenological variables were the dominating influencing factors on rice yields at 63% of the sites, suggesting that the relative importance of phenology to rice yields may be even higher than that of climate. The climatic variables were closely correlated with rice yields as they are fundamental growth materials for crops, and phenological variables strongly influenced the growth and development of rice. Our results highlight that phenology should be precisely evaluated in crop models to improve the accuracy of simulating their response to climate change. Furthermore, due to limited understanding of phenological processes, manipulative experiments are urgently needed to comprehensively improve our understanding of rice phenology and rice yield response to ongoing climate change.

ACS Style

Yahui Guo; Wenxiang Wu; Yumei Liu; Zhaofei Wu; Xiaojun Geng; Yaru Zhang; Christopher Bryant; Yongshuo Fu. Impacts of Climate and Phenology on the Yields of Early Mature Rice in China. Sustainability 2020, 12, 10133 .

AMA Style

Yahui Guo, Wenxiang Wu, Yumei Liu, Zhaofei Wu, Xiaojun Geng, Yaru Zhang, Christopher Bryant, Yongshuo Fu. Impacts of Climate and Phenology on the Yields of Early Mature Rice in China. Sustainability. 2020; 12 (23):10133.

Chicago/Turabian Style

Yahui Guo; Wenxiang Wu; Yumei Liu; Zhaofei Wu; Xiaojun Geng; Yaru Zhang; Christopher Bryant; Yongshuo Fu. 2020. "Impacts of Climate and Phenology on the Yields of Early Mature Rice in China." Sustainability 12, no. 23: 10133.

Original paper
Published: 26 November 2020 in Natural Hazards
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Maintaining sustainability in rainfed wheat production under changing climate is a grave concern for food security in Algeria. This study aims to assess the impact of future climate change on rainfed wheat yield in the semiarid Eastern High Plains (Setif and Bordj Bou Arreridj (BBA)) in Algeria using AquaCrop model. For this purpose, the EURO-CORDEX climate projections by 2035–2064 and 2065–2094 were downscaled using ICHEC_KNMI model under two representative concentration pathway (RCP) scenarios RCP 4.5 and RCP 8.5. The crop model predicted wheat yield increase by 82–95% and 77–118% at Setif and by 8–16% and 133–135% at BBA under the RCP 4.5 (2035–64 and 2065–94) and RCP 8.5 (2035–64 and 2065–94) scenarios, respectively, compared to the yield of the baseline period of 1981–2010. Future yield improvement is due to the fertilizing effect of the elevated carbon dioxide (CO2) concentration in the atmosphere, which offsets the negative impacts of rising temperature, decreasing precipitations and the net solar radiation. The expected increase in yield is much higher under RCP 8.5 compared to RCP 4.5 because CO2 concentration is higher under RCP 8.5. The model predicted an increase in wheat water productivity because of the expected decrease in evapotranspiration losses. To adapt rainfed wheat to future climate change in the study area, early sowing in mid-October provides better yields because it allows the wheat crop to take more benefits from increased precipitation during the vegetative development stage and to avoid the spring warming temperature.

ACS Style

Tassadit Kourat; Dalila Smadhi; Brahim Mouhouche; Nerdjes Gourari; M. G. Mostofa Amin; Christopher Robin Bryant. Assessment of future climate change impact on rainfed wheat yield in the semi-arid Eastern High Plain of Algeria using a crop model. Natural Hazards 2020, 107, 2175 -2203.

AMA Style

Tassadit Kourat, Dalila Smadhi, Brahim Mouhouche, Nerdjes Gourari, M. G. Mostofa Amin, Christopher Robin Bryant. Assessment of future climate change impact on rainfed wheat yield in the semi-arid Eastern High Plain of Algeria using a crop model. Natural Hazards. 2020; 107 (3):2175-2203.

Chicago/Turabian Style

Tassadit Kourat; Dalila Smadhi; Brahim Mouhouche; Nerdjes Gourari; M. G. Mostofa Amin; Christopher Robin Bryant. 2020. "Assessment of future climate change impact on rainfed wheat yield in the semi-arid Eastern High Plain of Algeria using a crop model." Natural Hazards 107, no. 3: 2175-2203.

Journal article
Published: 25 October 2020 in Sustainability
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This research aims to understand the vision and the reaction of the population towards tourism and holidays during this period of the COVID-19 pandemic. It also investigates the tourist needs of the Algerian population after the closure of international borders. Methods: The data were collected using a mixture of quantitative and qualitative methods through a questionnaire applied to 203 people in different regions of Algeria (a North African country) from 1st June to 13 July 2020. Results: The needs of Algerian tourists were characterized by a great need for leisure to relieve psychological stress caused by COVID-19 (M = 25.33) among the study sample (p < 0.05). The results also show an average need to rationalize the costs of tourist services (M = 5.26) according to the respondents (p < 0.01). This is in addition to the great need (M = 7.75) among respondents (p < 0.05) of the awareness that the tourism sector can contribute to the economic recovery in Algeria after the confinement period. About 75.86% of respondents requested the cleanliness of tourist sites, while 69.95% recommended improving safety because of the size of tourist sites in the Algerian territory as well as measures related to social distancing. The results show that 53.69% of respondents preferred the month of August to go on vacation, 29.06% chose the month of September, and 17.25% would prefer the months of October, November, and December since they expected a reduction in the risks of the COVID-19 pandemic. Conclusions: The COVID-19 pandemic has affected the tourism needs of the Algerian population, which has become increasingly aware of the consequences of the pandemic in relation to their health and in relation to the country’s economy. These results can help the authorities of the tourism sector to better understand and identify the tourism needs of this population in the current period and after the COVID-19 pandemic.

ACS Style

Azzeddine Madani; Saad Eddine Boutebal; Hinde Benhamida; Christopher Robin Bryant. The Impact of Covid-19 Outbreak on the Tourism Needs of the Algerian Population. Sustainability 2020, 12, 8856 .

AMA Style

Azzeddine Madani, Saad Eddine Boutebal, Hinde Benhamida, Christopher Robin Bryant. The Impact of Covid-19 Outbreak on the Tourism Needs of the Algerian Population. Sustainability. 2020; 12 (21):8856.

Chicago/Turabian Style

Azzeddine Madani; Saad Eddine Boutebal; Hinde Benhamida; Christopher Robin Bryant. 2020. "The Impact of Covid-19 Outbreak on the Tourism Needs of the Algerian Population." Sustainability 12, no. 21: 8856.

Preprint
Published: 26 September 2020
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This research aims to understand the vision and the reaction of the population towards tourism and holidays during this period of the COVID-19 pandemic. It investigates also the tourist needs of the Algerian population after the closure of international borders. Methods: The data were collected using mixed quantitative and qualitative methods through a questionnaire applied to 203 people in different regions of Algeria (a North African country) from 1st June to 13 July 2020. Results: The needs of Algerian tourists are characterized by a great need for leisure to relieve psychological stress caused by COVID-19 (M = 25.33) among the study sample (p <0.05). The results also show an average need to rationalize the costs of tourist services (M = 5.26) according to the respondents (p <0.01). This is in addition to the great need (M = 7.75) among respondents (p <0.05) of the awareness that the tourism sector can contribute to the economic recovery in Algeria after the confinement period. About 75.86% of respondents demand the cleanliness of tourist sites, while 69.95% recommend improving safety because of the size of tourist sites in the Algerian territory and also measures related to social distancing. The results show that 53.69% of respondents preferred the month of August to go on vacation, 29.06% chose the month of September, and 17.25% would prefer the months of October, November and December since they expect a reduction in the risks of the COVID-19 pandemic. Conclusions: The COVID-19 pandemic has affected the tourism needs of the Algerian population, which has become increasingly aware of the consequences of the pandemic in relation to their health and on the country's economy. These results can help the authorities of the tourism sector to better understand and identify the tourism needs of this population in the current period and after the COVID-19 pandemic.

ACS Style

Azzeddine Madani; Saad Eddine Boutebal; Hinde Benhamida; Christopher Robin Bryant. The Impact of COVID-19 Outbreak on the Tourism Needs of Algerian Population. 2020, 1 .

AMA Style

Azzeddine Madani, Saad Eddine Boutebal, Hinde Benhamida, Christopher Robin Bryant. The Impact of COVID-19 Outbreak on the Tourism Needs of Algerian Population. . 2020; ():1.

Chicago/Turabian Style

Azzeddine Madani; Saad Eddine Boutebal; Hinde Benhamida; Christopher Robin Bryant. 2020. "The Impact of COVID-19 Outbreak on the Tourism Needs of Algerian Population." , no. : 1.

Journal article
Published: 16 September 2020 in Ecological Indicators
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Rice (Oryza sativa L.) is a staple cereal crop and its demand is substantially increasing with the growth of the global population. Precisely predicting rice yields are of vital importance to ensure the food security in countries like China, where rice accounts for one-fifth of the total agricultural production. Previous studies found that the rice yields had been significantly impacted by climate change. In addition, phenological variables were found to be important factors concerning rice yields due to its fundamental role in carbon allocation between plant organs, but its impacts on rice yields were seldom evaluated. In this study, eleven combinations of phenology, climate and geography data were tested to predict the site-based rice yields using a traditional regression-based method (MLR, multiple linear regression), and more advanced three machine learning (ML) methods: backpropagation neural network (BP), support vector machine (SVM) and random forest (RF). The results showed that ML methods were more precise than MLR method. The combination using the integrated phenology, climate during growing season and geographical information was better for yields predictions than other combinations across the ML methods, e.g. the difference RMSE (R2) between prediction and observed rice yields were 800 (0.24), 737 (0.33), and 744 (0.31) kg/ha for BP, SVM and RF, respectively. The SVM had achieved the highest precisions in yield predictions and the phenological variables substantially improved the accuracy of yield predictions, and the relative importance of phenological variables were even similar as climatic variables. We highlight the phenology and climate need to be accurately represented in the crop models to improve the accuracy in rice yield prediction under climate change conditions using integrated ML methods.

ACS Style

Yahui Guo; Yongshuo Fu; FangHua Hao; Xuan Zhang; Wenxiang Wu; Xiuliang Jin; Christopher Robin Bryant; J. Senthilnath. Integrated phenology and climate in rice yields prediction using machine learning methods. Ecological Indicators 2020, 120, 106935 .

AMA Style

Yahui Guo, Yongshuo Fu, FangHua Hao, Xuan Zhang, Wenxiang Wu, Xiuliang Jin, Christopher Robin Bryant, J. Senthilnath. Integrated phenology and climate in rice yields prediction using machine learning methods. Ecological Indicators. 2020; 120 ():106935.

Chicago/Turabian Style

Yahui Guo; Yongshuo Fu; FangHua Hao; Xuan Zhang; Wenxiang Wu; Xiuliang Jin; Christopher Robin Bryant; J. Senthilnath. 2020. "Integrated phenology and climate in rice yields prediction using machine learning methods." Ecological Indicators 120, no. : 106935.

Journal article
Published: 05 September 2020 in Sensors
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The vegetation index (VI) has been successfully used to monitor the growth and to predict the yield of agricultural crops. In this paper, a long-term observation was conducted for the yield prediction of maize using an unmanned aerial vehicle (UAV) and estimations of chlorophyll contents using SPAD-502. A new vegetation index termed as modified red blue VI (MRBVI) was developed to monitor the growth and to predict the yields of maize by establishing relationships between MRBVI- and SPAD-502-based chlorophyll contents. The coefficients of determination (R2s) were 0.462 and 0.570 in chlorophyll contents’ estimations and yield predictions using MRBVI, and the results were relatively better than the results from the seven other commonly used VI approaches. All VIs during the different growth stages of maize were calculated and compared with the measured values of chlorophyll contents directly, and the relative error (RE) of MRBVI is the lowest at 0.355. Further, machine learning (ML) methods such as the backpropagation neural network model (BP), support vector machine (SVM), random forest (RF), and extreme learning machine (ELM) were adopted for predicting the yields of maize. All VIs calculated for each image captured during important phenological stages of maize were set as independent variables and the corresponding yields of each plot were defined as dependent variables. The ML models used the leave one out method (LOO), where the root mean square errors (RMSEs) were 2.157, 1.099, 1.146, and 1.698 (g/hundred grain weight) for BP, SVM, RF, and ELM. The mean absolute errors (MAEs) were 1.739, 0.886, 0.925, and 1.356 (g/hundred grain weight) for BP, SVM, RF, and ELM, respectively. Thus, the SVM method performed better in predicting the yields of maize than the other ML methods. Therefore, it is strongly suggested that the MRBVI calculated from images acquired at different growth stages integrated with advanced ML methods should be used for agricultural- and ecological-related chlorophyll estimation and yield predictions.

ACS Style

Yahui Guo; Hanxi Wang; Zhaofei Wu; Shuxin Wang; Hongyong Sun; J. Senthilnath; Jingzhe Wang; Christopher Robin Bryant; Yongshuo Fu. Modified Red Blue Vegetation Index for Chlorophyll Estimation and Yield Prediction of Maize from Visible Images Captured by UAV. Sensors 2020, 20, 5055 .

AMA Style

Yahui Guo, Hanxi Wang, Zhaofei Wu, Shuxin Wang, Hongyong Sun, J. Senthilnath, Jingzhe Wang, Christopher Robin Bryant, Yongshuo Fu. Modified Red Blue Vegetation Index for Chlorophyll Estimation and Yield Prediction of Maize from Visible Images Captured by UAV. Sensors. 2020; 20 (18):5055.

Chicago/Turabian Style

Yahui Guo; Hanxi Wang; Zhaofei Wu; Shuxin Wang; Hongyong Sun; J. Senthilnath; Jingzhe Wang; Christopher Robin Bryant; Yongshuo Fu. 2020. "Modified Red Blue Vegetation Index for Chlorophyll Estimation and Yield Prediction of Maize from Visible Images Captured by UAV." Sensors 20, no. 18: 5055.

Journal article
Published: 21 May 2020 in International Journal of Environmental Research and Public Health
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The COVID-19 pandemic continues to spread in countries around the world. The impact of this virus is very great on populations following the application of total and partial containment measures. Our study aims to study the psychological impact of total and partial containment applied in Algeria, on 23 March 2020, following the spread of the virus COVID-19 and also studied the habits and behaviors of the Algerian population during this new way of life and this through a cross-sectional survey launched after three days from the start of confinement to quickly assess the impacts over the period from 23 March to 12 April 2020, by an online questionnaire which allowed us to obtain 678 responses from Internet users, who live in confinement in Algeria. According to the gender variable, our sample includes 405 men, or 59.7%, and 273 women, representing 40.3%. The results of the statistical analysis carried out using SPSS version 22.0 software showed that 50.3% of the respondents were in an anxious situation during these first three weeks of confinement. In addition, 48.2% feels stressed, 46.6% of the respondents confirmed to be feeling in a bad mood, and 47.4% do not stop thinking throughout the day about this epidemic and how to protect themselves. In addition, the study shows that 87.9% of the respondents in Algeria found it difficult to follow the confinement instructions. A significant change in the habits of the population was noted especially for the time of going to bed, the time of waking up, and the use of the Internet as well as the hours devoted to daily reading.

ACS Style

Azzeddine Madani; Saad Eddine Boutebal; Christopher Robin Bryant. The Psychological Impact of Confinement Linked to the Coronavirus Epidemic COVID-19 in Algeria. International Journal of Environmental Research and Public Health 2020, 17, 3604 .

AMA Style

Azzeddine Madani, Saad Eddine Boutebal, Christopher Robin Bryant. The Psychological Impact of Confinement Linked to the Coronavirus Epidemic COVID-19 in Algeria. International Journal of Environmental Research and Public Health. 2020; 17 (10):3604.

Chicago/Turabian Style

Azzeddine Madani; Saad Eddine Boutebal; Christopher Robin Bryant. 2020. "The Psychological Impact of Confinement Linked to the Coronavirus Epidemic COVID-19 in Algeria." International Journal of Environmental Research and Public Health 17, no. 10: 3604.

Journal article
Published: 21 September 2019 in Atmosphere
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In this study, the potential climate change impacts on rice growth and rice yield under 1.5 and 2.0 °C warming scenarios, respectively, are simulated using the Ceres-Rice Model based on high-quality, agricultural, experimental, meteorological and soil data, and the incorporation of future climate data generated by four Global Climate Models (GCMs) in the Pearl River Delta, China. The climatic data is extracted from four Global Climate Models (GCMs) namely: The Community Atmosphere Model 4 (CAM4), The European Centre for Medium-Range Weather Forecasts-Hamburg 6 (ECHAM6), Model for Interdisciplinary Research On Climate 5 (MIROC5) and the Norwegian Earth System Model 1 (NorESM1). The modeling results show that climate change has major negative impacts on both rice growth and rice yields at all study sites. More specifically, the average of flowering durations decreases by 2.8 days (3.9 days), and the maturity date decreases by 11.0 days (14.7 days) under the 1.5 °C and (2.0 °C) warming scenarios, respectively. The yield for early mature rice and late mature rice are reduced by 292.5 kg/ha (558.9 kg/ha) and 151.8 kg/ha (380.0 kg/ha) under the 1.5 °C (2.0 °C) warming scenarios, respectively. Adjusting the planting dates of eight days later and 15 days earlier for early mature rice and late mature rice are simulated to be adaptively effective, respectively. The simulated optimum fertilizer amount is about 240 kg/ha, with different industrial fertilizer and organic matter being applied.

ACS Style

Yahui Guo; Wenxiang Wu; Mingzhu Du; Xiaoxuan Liu; Jingzhe Wang; Christopher Robin Bryant. Modeling Climate Change Impacts on Rice Growth and Yield under Global Warming of 1.5 and 2.0 °C in the Pearl River Delta, China. Atmosphere 2019, 10, 567 .

AMA Style

Yahui Guo, Wenxiang Wu, Mingzhu Du, Xiaoxuan Liu, Jingzhe Wang, Christopher Robin Bryant. Modeling Climate Change Impacts on Rice Growth and Yield under Global Warming of 1.5 and 2.0 °C in the Pearl River Delta, China. Atmosphere. 2019; 10 (10):567.

Chicago/Turabian Style

Yahui Guo; Wenxiang Wu; Mingzhu Du; Xiaoxuan Liu; Jingzhe Wang; Christopher Robin Bryant. 2019. "Modeling Climate Change Impacts on Rice Growth and Yield under Global Warming of 1.5 and 2.0 °C in the Pearl River Delta, China." Atmosphere 10, no. 10: 567.

Journal article
Published: 20 April 2019 in Sustainability
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Increasing temperatures, greater carbon dioxide concentrations, and changes in related climatic variables will continue to affect the growth and yields of agricultural crops. Rice (Oryza sativa L.) is extremely vulnerable to these climatic changes. Therefore, investigating the degree to which climate changes could influence rice yields and what effective adaptive strategies could be taken to mitigate the potential adverse impacts is of vital importance. In this article, the impacts of climate change on rice yields in Zhejiang province, China, were simulated under the Representative Concentration Pathway (RCP) 4.5 and 8.5 scenarios. The impacts of climate change, with and without CO2 fertilization effects, were evaluated and the three most effective adaptive measures were examined. Compared with the yield for the baseline time of 1981–2010, the simulated average yields of all cultivars were inevitably projected to decrease under both RCPs when the CO2 fertilization effects were not considered during the three periods of the 2020s (2011–2040), 2050s (2041–2070), and 2080s (2071–2099), respectively. Declines in rice yields were able to be alleviated when the CO2 fertilization effects were accounted for, but the yields were still lower than those of the baseline. Therefore, the three adaptive measures of advancing planting dates, switching to high-temperature-tolerant cultivars, and breeding new cultivars were simulated. The results indicated that adaptive measures could effectively mitigate the adverse effects of climate change. Although the simulation had uncertainties and limitations, the results provide useful insights into the potential impacts of climate change in Zhejiang province while also proposing adaptive measures.

ACS Style

Yahui Guo; Wenxiang Wu; Mingzhu Du; Christopher Robin Bryant; Yong Li; Yuyi Wang; Han Huang. Assessing Potential Climate Change Impacts and Adaptive Measures on Rice Yields: The Case of Zhejiang Province in China. Sustainability 2019, 11, 2372 .

AMA Style

Yahui Guo, Wenxiang Wu, Mingzhu Du, Christopher Robin Bryant, Yong Li, Yuyi Wang, Han Huang. Assessing Potential Climate Change Impacts and Adaptive Measures on Rice Yields: The Case of Zhejiang Province in China. Sustainability. 2019; 11 (8):2372.

Chicago/Turabian Style

Yahui Guo; Wenxiang Wu; Mingzhu Du; Christopher Robin Bryant; Yong Li; Yuyi Wang; Han Huang. 2019. "Assessing Potential Climate Change Impacts and Adaptive Measures on Rice Yields: The Case of Zhejiang Province in China." Sustainability 11, no. 8: 2372.

Journal article
Published: 06 March 2019 in Sustainability
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Quantifying the contributing and limiting factors of yield potential is of vital importance, and the closure of existing yield gaps on currently available agricultural land is regarded as the most effective measure to meet future food demands. In this study, the CERES-Rice model and long-term rice yield records of 12 sites from 1981 to 2010 were combined together to investigate the spatial and temporal distributions of yield potential, yield attainable, yield actual, and yield gaps for double cropping rice in the Pearl River Delta (PRD), China. The evaluated yield potential of all the sites ranged from 7500 to 14,900 kg/ha, while yield attainable was from 6400 to 12,665 kg/ha, and yield actual was from 4000 to 7000 kg/ha. The yield gaps between yield potential and yield actual, yield potential and yield attainable, and yield attainable and yield actual were projected to be 3500 kg/ha, 1400 kg/ha, and 2100 kg/ha, respectively. The decrease of yield potential was due to the increasing temperature for early mature rice and the prolonged sunshine hours for the yield potential of late mature rice, respectively. The social–economic impacts of yield actual were also assessed, and adaptive measures were simulated so that the yield would certainly increase.

ACS Style

Yahui Guo; Wenxiang Wu; Christopher Robin Bryant. Quantifying Spatio-Temporal Patterns of Rice Yield Gaps in Double-Cropping Systems: A Case Study in Pearl River Delta, China. Sustainability 2019, 11, 1394 .

AMA Style

Yahui Guo, Wenxiang Wu, Christopher Robin Bryant. Quantifying Spatio-Temporal Patterns of Rice Yield Gaps in Double-Cropping Systems: A Case Study in Pearl River Delta, China. Sustainability. 2019; 11 (5):1394.

Chicago/Turabian Style

Yahui Guo; Wenxiang Wu; Christopher Robin Bryant. 2019. "Quantifying Spatio-Temporal Patterns of Rice Yield Gaps in Double-Cropping Systems: A Case Study in Pearl River Delta, China." Sustainability 11, no. 5: 1394.

Book section
Published: 22 May 2018 in La ville résiliente
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Dans la littérature scientifique sur les changements climatiques et la société humaine, l’accent est de plus en plus mis sur la problématique de la capacité d’adaptation et de la réduction de la vulnérabilité des communautés (par exemple, les villes, les territoires ruraux et les territoires côtiers). Notre raisonnement dans ce chapitre est que la capacité d’adaptation et donc la résilience communautaire peuvent être construites, ce qui demande une réflexion et une planification, même si en général une grande partie des actions identifiées par cette planification n’est pas encore directement intégrée dans les plans d’urbanisme ou les schémas d’aménagement. De plus, il est important de reconnaître qu’il y a aussi des initiatives qui n’ont pas directement une place géographique dans ces plans et schémas, par exemple des initiatives de communication, de construction de la solidarité communautaire et de tout ce qui pourrait amener les acteurs, y compris les citoyens, à modifier leurs fa...

ACS Style

Oumarou Daouda; Chérine Akkari; Christopher Bryant. Chapitre 6. La coconstruction pour renforcer la résilience communautaire. La ville résiliente 2018, 123 -135.

AMA Style

Oumarou Daouda, Chérine Akkari, Christopher Bryant. Chapitre 6. La coconstruction pour renforcer la résilience communautaire. La ville résiliente. 2018; ():123-135.

Chicago/Turabian Style

Oumarou Daouda; Chérine Akkari; Christopher Bryant. 2018. "Chapitre 6. La coconstruction pour renforcer la résilience communautaire." La ville résiliente , no. : 123-135.

Journal article
Published: 22 March 2018 in EchoGéo
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It should be noted straight away that Governance is not Government, although government at any level can potentially become part of a governance process. Governance essentially is a multi-stakeholder process (e.g. the article by David Douglas); it can be focused on a whole territory or on particular themes or orientations of importance to a territory and different actors and citizens; however, it frequently becomes necessary to take a more holistic approach since it is more often than not the...

ACS Style

Christopher Bryant. Government versus Governance: structure versus process. EchoGéo 2018, 1 .

AMA Style

Christopher Bryant. Government versus Governance: structure versus process. EchoGéo. 2018; (43):1.

Chicago/Turabian Style

Christopher Bryant. 2018. "Government versus Governance: structure versus process." EchoGéo , no. 43: 1.

Journal article
Published: 22 March 2018 in EchoGéo
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Il convient de noter tout d’abord que la gouvernance n'est pas le gouvernement, bien que le gouvernement, à quelque niveau que ce soit, puisse potentiellement faire partie d'un processus de gouvernance. La gouvernance est essentiellement un processus multipartite. Comme le montre dans ce dossier l'article de David Douglas, elle peut être centrée sur tout un territoire ou sur des thèmes ou des orientations particulièrement importants pour un territoire et pour différents acteurs et citoyens. C...

ACS Style

Christopher Bryant. Gouvernement versus Gouvernance : structure versus processus. EchoGéo 2018, 1 .

AMA Style

Christopher Bryant. Gouvernement versus Gouvernance : structure versus processus. EchoGéo. 2018; (43):1.

Chicago/Turabian Style

Christopher Bryant. 2018. "Gouvernement versus Gouvernance : structure versus processus." EchoGéo , no. 43: 1.

Journal article
Published: 28 December 2017 in JACCP: JOURNAL OF THE AMERICAN COLLEGE OF CLINICAL PHARMACY
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ACS Style

Christopher Bryant. Strategic Development Planning for Agricultural Development and the Integration of other Domains Important for the Territory. JACCP: JOURNAL OF THE AMERICAN COLLEGE OF CLINICAL PHARMACY 2017, 2, 1 -3.

AMA Style

Christopher Bryant. Strategic Development Planning for Agricultural Development and the Integration of other Domains Important for the Territory. JACCP: JOURNAL OF THE AMERICAN COLLEGE OF CLINICAL PHARMACY. 2017; 2 (6):1-3.

Chicago/Turabian Style

Christopher Bryant. 2017. "Strategic Development Planning for Agricultural Development and the Integration of other Domains Important for the Territory." JACCP: JOURNAL OF THE AMERICAN COLLEGE OF CLINICAL PHARMACY 2, no. 6: 1-3.

Journal article
Published: 22 December 2017 in Journal of Settlements and Spatial Planning
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ACS Style

Christopher R. Bryant; Chérine Akkari; Antonia D. Bousbaine; Kénel Delusca; Oumarou Daouda; Mamadou A. Sarr; Azzeddine Madani. The Unintended Negative Consequences of Government Actions and Initiatives in Selected Environmental, Social and Economic Domains: Opportunities for Co-construction Approaches. Journal of Settlements and Spatial Planning 2017, 8, 79 -88.

AMA Style

Christopher R. Bryant, Chérine Akkari, Antonia D. Bousbaine, Kénel Delusca, Oumarou Daouda, Mamadou A. Sarr, Azzeddine Madani. The Unintended Negative Consequences of Government Actions and Initiatives in Selected Environmental, Social and Economic Domains: Opportunities for Co-construction Approaches. Journal of Settlements and Spatial Planning. 2017; 8 (2):79-88.

Chicago/Turabian Style

Christopher R. Bryant; Chérine Akkari; Antonia D. Bousbaine; Kénel Delusca; Oumarou Daouda; Mamadou A. Sarr; Azzeddine Madani. 2017. "The Unintended Negative Consequences of Government Actions and Initiatives in Selected Environmental, Social and Economic Domains: Opportunities for Co-construction Approaches." Journal of Settlements and Spatial Planning 8, no. 2: 79-88.

Book chapter
Published: 14 December 2017 in Environmental Mediation
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ACS Style

Antonia Bousbaine; Christopher Bryant. The co-construction of projects with environmental externalities. Environmental Mediation 2017, 157 -179.

AMA Style

Antonia Bousbaine, Christopher Bryant. The co-construction of projects with environmental externalities. Environmental Mediation. 2017; ():157-179.

Chicago/Turabian Style

Antonia Bousbaine; Christopher Bryant. 2017. "The co-construction of projects with environmental externalities." Environmental Mediation , no. : 157-179.

Journal article
Published: 06 July 2017 in Agriculture
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Phosphorus (P) runoff from agricultural sources is a recognized environmental problem, particularly in regions draining into Lake Erie. This problem may well be exacerbated particularly through increased magnitude and frequency of extreme climatic events (e.g., excessive precipitation and droughts). On the physical sciences side, the recent extensive literature focuses on structural Best Management Practices (BMPs) which have the potential to mitigate both surface and sub-subsurface P losses. Modeling studies show that there is still a lack of adoption of these P-related voluntary BMPs by the farmers. At the same time, and while the social sciences side of the literature on structural BMPs adoption weakly affirms the latter, this paper argues that the literature on resilience and on agricultural innovation can better inform our understanding of the limited adoption of phosphorus related structural BMPs by farmers in the Lake Erie Basin.

ACS Style

Cherine Akkari; Christopher Robin Bryant. Toward Improved Adoption of Best Management Practices (BMPs) in the Lake Erie Basin: Perspectives from Resilience and Agricultural Innovation Literature. Agriculture 2017, 7, 54 .

AMA Style

Cherine Akkari, Christopher Robin Bryant. Toward Improved Adoption of Best Management Practices (BMPs) in the Lake Erie Basin: Perspectives from Resilience and Agricultural Innovation Literature. Agriculture. 2017; 7 (7):54.

Chicago/Turabian Style

Cherine Akkari; Christopher Robin Bryant. 2017. "Toward Improved Adoption of Best Management Practices (BMPs) in the Lake Erie Basin: Perspectives from Resilience and Agricultural Innovation Literature." Agriculture 7, no. 7: 54.