Taking the pilgrimage,tourism and cultural island of Meizhou Island as an example,the evaluation index system of the coupling and coordinated development of“Mazu culture,socio-economy,eco-environment”(MSE)compound s...Taking the pilgrimage,tourism and cultural island of Meizhou Island as an example,the evaluation index system of the coupling and coordinated development of“Mazu culture,socio-economy,eco-environment”(MSE)compound system was constructed.The index weights were determined by AHP-entropy method,and the coupling degree,coordinated degree,comprehensive evaluation index and grey correlation degree of MSE system of Mazu Island from 2012 to 2022 were measure.The results showed that:(1)the comprehensive evaluation indexes of the three subsystems was on the rise in general,but the evaluation index of the ecological subsystems increased relatively slowly.(2)The coupling degree was only in the running-in stage in 2012,and the other years were in the coordinated coupling stage.(3)The coupling coordination degree increased from 0.35 in 2012 to 0.82 in 2022,the coupling coordination level was changed from mild imbalance to good coordination.(4)Through the comparison of grey correlation degree,the 24 indexes in the evaluation index system had great influence on the coupling coordination degree of MSE system.The coupling coordination degree was closely related to the development of socio-economy and the spread of Mazu culture.With the rapid development of tourism brought about by the spread of Mazu culture,the pressure on the ecological environment will be increasing.Compared with the rapid growth of tourism and economy,it is equally important to strengthen environmental protection and pay attention to the quality of ecological environment development.展开更多
This study aims at determining the types of pollutants and their sources for the springs in the Natuf catchment/Palestine in addition to evaluating the socio-economic environmental impact on water utilization from res...This study aims at determining the types of pollutants and their sources for the springs in the Natuf catchment/Palestine in addition to evaluating the socio-economic environmental impact on water utilization from residential people.Twelve spring water samples were collected for hydrochemical qualitative analyses of major and trace elements as well as microbiological analyses in the summer of 2017.Plotted spring water samples on the Piper Diagram indicated the water type of Mg-Ca-HCO3-and eleven samples could be classified as fresh water.Fifty questionnaires were distributed to the farmers and land owners in order to study the impact of socio-economic and environmental conditions for the spring water utilization.The study shows that 90%of local people are using the springs for agricultural purposes.The spring water chemical analysis indicates that they are free from industrial pollutants in regards that 84%of them are located away from the dumping sites.The study shows that respondents are not interested in rain water harvesting during winter season,because 44%of them have their own cisterns.The existence of the water network as well as the absence of the related authority role's contributes to the reduction of people’s dependence on spring water.The results will be used for the qualitative aspects potentiality of the appropriated rainwater harvesting techniques to be installed in the area.It is recommended to establish a qualitative monitoring network in Natuf watershed as well as for the springs of the other catchments in the west Bank.展开更多
Fungi that attack field crops and contaminate agricultural commodities produce mycotoxins when conditions are favorable. These are specialized metabolites made of poisonous chemical compounds created by bacteria, fung...Fungi that attack field crops and contaminate agricultural commodities produce mycotoxins when conditions are favorable. These are specialized metabolites made of poisonous chemical compounds created by bacteria, fungi, or plants that aren’t involved in the organism’s usual growth, development, or reproduction. They have an adversarial hold on humans, wildlife, and the agricultural sector, resulting in mysterious ailments and economic disruptions. Mycotoxins-tainted food and fodder can be found all over the world, posing a global concern. Consumption of contaminated food and fodder is a typical cause of epidemic outbreaks. Other mycotoxins have been associated with esophageal cancer and neural tube defects (NTDs);the immunotoxin deoxynivalenol (DON) causes diarrhea when combined with trichothecenes, and ochratoxin A (OTA) has been linked to kidney failure. The direct market costs associated with missed trade or lower revenues owing to tainted food or feed could be viewed as the economic repercussions of mycotoxins on human society. This review describes frequent groups of mycotoxins in detail, their impact on global health, their impact on the socio-economy;the methods of detection and prevention of these mycotoxins.展开更多
Climate change and rapid urbanization pose significant challenges to the conservation and management of agricultural heritage systems,including decline in agricultural land,loss of labor,and ecosystem degradation.Alth...Climate change and rapid urbanization pose significant challenges to the conservation and management of agricultural heritage systems,including decline in agricultural land,loss of labor,and ecosystem degradation.Although existing studies have proposed general strategies with theoretical guidance and specific strategies for particular systems to promote the conservation of agricultural heritage systems,there remains a large knowledge gap in effective and differentiated management strategies at the regional level.This is especially so in China because of the clear regional differences in the natural and socioeconomic conditions of the widely distributed China Nationally Important Agricultural Heritage Systems(China-NIAHS).In this study,we integrated multi-source data and spatial analysis to reveal the distribution characteristics of existing China-NIAHS and proposed differentiated management strategies.Results show that there are four clustering distribution zones of China-NIAHS,i.e.,the northwest clustering zone west of the Heihe-Tengchong Line(ZoneⅠ),the clustering belt with‘Northeast-Hebei-Shandong'as core(ZoneⅡ),the Yangtze River Delta clustering zone(ZoneⅢ),and the Hunan-Chongqing-Yunnan-Guizhou clustering zone(ZoneⅣ).Different management strategies are proposed for the China-NIAHS in each clustering zone.Specifically,ZoneⅠshould focus on maintaining their ecological functions and services,while ZoneⅡshould aim for livelihood supply,sustainable resource use,and ecological protection.For ZoneⅢ,rapid urbanization could become a positive driving force for China-NIAHS conservation through sustainable tourism and reasonable urban zoning.ZoneⅣshould emphasize the mutual support between characteristic product development and the brand effect of the China-NIAHS.These findings will help establish regional and targeted management strategies for China-NIAHS and provide a reference for the conservation of agricultural heritage systems in other countries.展开更多
Research on social aspects of energy and those applying machine learning(ML)is limited compared to the‘hard’disciplines such as science and engineering.We aim to contribute to this niche through this multidisciplina...Research on social aspects of energy and those applying machine learning(ML)is limited compared to the‘hard’disciplines such as science and engineering.We aim to contribute to this niche through this multidisciplinary study integrating energy,social science and ML.Specifically,we aim:(i)to compare the applicability of different ML models in household(HH)energy;and(ii)to explain people’s perception of HH energy using the most appropriate model.We carried out cross-sectional survey of 323 HHs in a developing country(Nepal)and extracted 14 predictor variables and one response variable.We tested the performance of seven ML models:K-Nearest Neighbors(KNN),Multi-Layer Perceptron(MLP),Extra Trees Classifier(ETC),Random Forest(RF),Ridge Classifier(RC),Multinomial Regression–Logit(MR-L)and Probit(MR-P)in classifying people’s responses.The models were evaluated against six metrics(confusion matrix,precision,f1 score,recall,balanced accuracy and overall accuracy).In this study,ETC outperformed all other models demonstrating a balanced accuracy of 0.79,0.95 and 0.68 respectively for the Agree,Neutral and Disagree response categories.Results showed that,compared to conventional statistical models,data driven ML models are better in classifying people’s perceptions.It was seen that the majority of the surveyed people from rural(68%)and semi-urban areas(67%)tend to resist energy changes due to economic constraints and lack of awareness.Interestingly,most(73%)of the urban residents are open to changes,but still resort to fuel-stacking because of distrust in the state.These grass-root level responses have strong policy implications.展开更多
基金This paper is supported by the National Natural Science Foundation of China(Grant No.31400318)the Fujian Provincial Department of Science and Technology Guided Projects(Grant No.2020Y0089)the STS Project of Fujian Science and Technology Department(Grant Nos.2021T3014,2022T3023).
文摘Taking the pilgrimage,tourism and cultural island of Meizhou Island as an example,the evaluation index system of the coupling and coordinated development of“Mazu culture,socio-economy,eco-environment”(MSE)compound system was constructed.The index weights were determined by AHP-entropy method,and the coupling degree,coordinated degree,comprehensive evaluation index and grey correlation degree of MSE system of Mazu Island from 2012 to 2022 were measure.The results showed that:(1)the comprehensive evaluation indexes of the three subsystems was on the rise in general,but the evaluation index of the ecological subsystems increased relatively slowly.(2)The coupling degree was only in the running-in stage in 2012,and the other years were in the coordinated coupling stage.(3)The coupling coordination degree increased from 0.35 in 2012 to 0.82 in 2022,the coupling coordination level was changed from mild imbalance to good coordination.(4)Through the comparison of grey correlation degree,the 24 indexes in the evaluation index system had great influence on the coupling coordination degree of MSE system.The coupling coordination degree was closely related to the development of socio-economy and the spread of Mazu culture.With the rapid development of tourism brought about by the spread of Mazu culture,the pressure on the ecological environment will be increasing.Compared with the rapid growth of tourism and economy,it is equally important to strengthen environmental protection and pay attention to the quality of ecological environment development.
文摘This study aims at determining the types of pollutants and their sources for the springs in the Natuf catchment/Palestine in addition to evaluating the socio-economic environmental impact on water utilization from residential people.Twelve spring water samples were collected for hydrochemical qualitative analyses of major and trace elements as well as microbiological analyses in the summer of 2017.Plotted spring water samples on the Piper Diagram indicated the water type of Mg-Ca-HCO3-and eleven samples could be classified as fresh water.Fifty questionnaires were distributed to the farmers and land owners in order to study the impact of socio-economic and environmental conditions for the spring water utilization.The study shows that 90%of local people are using the springs for agricultural purposes.The spring water chemical analysis indicates that they are free from industrial pollutants in regards that 84%of them are located away from the dumping sites.The study shows that respondents are not interested in rain water harvesting during winter season,because 44%of them have their own cisterns.The existence of the water network as well as the absence of the related authority role's contributes to the reduction of people’s dependence on spring water.The results will be used for the qualitative aspects potentiality of the appropriated rainwater harvesting techniques to be installed in the area.It is recommended to establish a qualitative monitoring network in Natuf watershed as well as for the springs of the other catchments in the west Bank.
文摘Fungi that attack field crops and contaminate agricultural commodities produce mycotoxins when conditions are favorable. These are specialized metabolites made of poisonous chemical compounds created by bacteria, fungi, or plants that aren’t involved in the organism’s usual growth, development, or reproduction. They have an adversarial hold on humans, wildlife, and the agricultural sector, resulting in mysterious ailments and economic disruptions. Mycotoxins-tainted food and fodder can be found all over the world, posing a global concern. Consumption of contaminated food and fodder is a typical cause of epidemic outbreaks. Other mycotoxins have been associated with esophageal cancer and neural tube defects (NTDs);the immunotoxin deoxynivalenol (DON) causes diarrhea when combined with trichothecenes, and ochratoxin A (OTA) has been linked to kidney failure. The direct market costs associated with missed trade or lower revenues owing to tainted food or feed could be viewed as the economic repercussions of mycotoxins on human society. This review describes frequent groups of mycotoxins in detail, their impact on global health, their impact on the socio-economy;the methods of detection and prevention of these mycotoxins.
基金Strategic Priority Research Program of the Chinese Academy of Sciences,No.XDA23100203。
文摘Climate change and rapid urbanization pose significant challenges to the conservation and management of agricultural heritage systems,including decline in agricultural land,loss of labor,and ecosystem degradation.Although existing studies have proposed general strategies with theoretical guidance and specific strategies for particular systems to promote the conservation of agricultural heritage systems,there remains a large knowledge gap in effective and differentiated management strategies at the regional level.This is especially so in China because of the clear regional differences in the natural and socioeconomic conditions of the widely distributed China Nationally Important Agricultural Heritage Systems(China-NIAHS).In this study,we integrated multi-source data and spatial analysis to reveal the distribution characteristics of existing China-NIAHS and proposed differentiated management strategies.Results show that there are four clustering distribution zones of China-NIAHS,i.e.,the northwest clustering zone west of the Heihe-Tengchong Line(ZoneⅠ),the clustering belt with‘Northeast-Hebei-Shandong'as core(ZoneⅡ),the Yangtze River Delta clustering zone(ZoneⅢ),and the Hunan-Chongqing-Yunnan-Guizhou clustering zone(ZoneⅣ).Different management strategies are proposed for the China-NIAHS in each clustering zone.Specifically,ZoneⅠshould focus on maintaining their ecological functions and services,while ZoneⅡshould aim for livelihood supply,sustainable resource use,and ecological protection.For ZoneⅢ,rapid urbanization could become a positive driving force for China-NIAHS conservation through sustainable tourism and reasonable urban zoning.ZoneⅣshould emphasize the mutual support between characteristic product development and the brand effect of the China-NIAHS.These findings will help establish regional and targeted management strategies for China-NIAHS and provide a reference for the conservation of agricultural heritage systems in other countries.
文摘Research on social aspects of energy and those applying machine learning(ML)is limited compared to the‘hard’disciplines such as science and engineering.We aim to contribute to this niche through this multidisciplinary study integrating energy,social science and ML.Specifically,we aim:(i)to compare the applicability of different ML models in household(HH)energy;and(ii)to explain people’s perception of HH energy using the most appropriate model.We carried out cross-sectional survey of 323 HHs in a developing country(Nepal)and extracted 14 predictor variables and one response variable.We tested the performance of seven ML models:K-Nearest Neighbors(KNN),Multi-Layer Perceptron(MLP),Extra Trees Classifier(ETC),Random Forest(RF),Ridge Classifier(RC),Multinomial Regression–Logit(MR-L)and Probit(MR-P)in classifying people’s responses.The models were evaluated against six metrics(confusion matrix,precision,f1 score,recall,balanced accuracy and overall accuracy).In this study,ETC outperformed all other models demonstrating a balanced accuracy of 0.79,0.95 and 0.68 respectively for the Agree,Neutral and Disagree response categories.Results showed that,compared to conventional statistical models,data driven ML models are better in classifying people’s perceptions.It was seen that the majority of the surveyed people from rural(68%)and semi-urban areas(67%)tend to resist energy changes due to economic constraints and lack of awareness.Interestingly,most(73%)of the urban residents are open to changes,but still resort to fuel-stacking because of distrust in the state.These grass-root level responses have strong policy implications.