In this study, we address the problem of fitting a mathematical model to the human immunodeficiency virus (HIV)/acquired immunodeficiency syndrome (AIDS) data. We present a quantitative analysis of the formulated mathematical model by using Bayesian inference. The mathematical model consists of a suitable simple system of ordinary differential equations. We perform a local and global sensitivity analysis of parameters to determine which parameters of the model are the most relevant for the transmission and prevalence of the disease. We formulate the inverse problem associated to the parameter estimation of the model, and solve it using Bayesian statistics. Then, we estimate the basic reproductive number of the disease based on the estimation of the parameters of the model and its comparison with one is tested through hypothesis tests. The data set consist of HIV and AIDS data from Luxembourg, Czech Republic, Japan, Croatia, United Kingdom, and Mexico.
{"title":"Current forecast of HIV/AIDS using Bayesian inference","authors":"K. Prieto, Jhoana P. Romero–Leiton","doi":"10.1111/nrm.12332","DOIUrl":"https://doi.org/10.1111/nrm.12332","url":null,"abstract":"In this study, we address the problem of fitting a mathematical model to the human immunodeficiency virus (HIV)/acquired immunodeficiency syndrome (AIDS) data. We present a quantitative analysis of the formulated mathematical model by using Bayesian inference. The mathematical model consists of a suitable simple system of ordinary differential equations. We perform a local and global sensitivity analysis of parameters to determine which parameters of the model are the most relevant for the transmission and prevalence of the disease. We formulate the inverse problem associated to the parameter estimation of the model, and solve it using Bayesian statistics. Then, we estimate the basic reproductive number of the disease based on the estimation of the parameters of the model and its comparison with one is tested through hypothesis tests. The data set consist of HIV and AIDS data from Luxembourg, Czech Republic, Japan, Croatia, United Kingdom, and Mexico.","PeriodicalId":49778,"journal":{"name":"Natural Resource Modeling","volume":null,"pages":null},"PeriodicalIF":1.6,"publicationDate":"2021-09-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46401713","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
W. Campillay-Llanos, V. Saldaña‐Núñez, Fernado Córdova‐Lepe, F. N. Moreno‐Gómez
Environmental temperature and body size influence the life cycle of the species, with consequences for population size. In addition, it has been reported that increased temperature can lead to a decrease in body size. In the context of a resource‐stock, whose abundance is diminished by the action of an endothermic predator and also by small‐scale fishing activity, we analysed a Schaefer‐type fishery model that incorporates parametric variables associated with thermal performance, metabolic theory, and warming. We project the biomass of the resource in a thermal tolerance range with an increasing temperature trend obtained from current data. In the short term there could be an increase in biomass. However, over time the stock will decline rapidly, in association with the intensity of temperature increase and fishing effort.
{"title":"Fish catch management strategies: Evaluating the interplay between body size and global warming","authors":"W. Campillay-Llanos, V. Saldaña‐Núñez, Fernado Córdova‐Lepe, F. N. Moreno‐Gómez","doi":"10.1111/nrm.12331","DOIUrl":"https://doi.org/10.1111/nrm.12331","url":null,"abstract":"Environmental temperature and body size influence the life cycle of the species, with consequences for population size. In addition, it has been reported that increased temperature can lead to a decrease in body size. In the context of a resource‐stock, whose abundance is diminished by the action of an endothermic predator and also by small‐scale fishing activity, we analysed a Schaefer‐type fishery model that incorporates parametric variables associated with thermal performance, metabolic theory, and warming. We project the biomass of the resource in a thermal tolerance range with an increasing temperature trend obtained from current data. In the short term there could be an increase in biomass. However, over time the stock will decline rapidly, in association with the intensity of temperature increase and fishing effort.","PeriodicalId":49778,"journal":{"name":"Natural Resource Modeling","volume":null,"pages":null},"PeriodicalIF":1.6,"publicationDate":"2021-09-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47214916","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Overextraction of groundwater reduces groundwater height, increases the energy cost, and may threaten an aquifer's economic life. Water‐intensive crops, corn, and soybean, dominate the agricultural land in the Mississippi River Alluvial Aquifer (MRAA) region of the United States, thus stressing this confined aquifer. Groundwater conservation policy or the adoption of efficient irrigation technology could save both water and energy. This study aims to estimate the future returns from the irrigated land under the scenarios of 30%, 20%, 10%, 5%, and no groundwater conservation from 2020 to 2022. An accurate model to predict the crop choice decision is important to estimate the impact of groundwater policies. We develop a crop choice model where an individual farmer has a crop planting or land fallowing choice each year. We use the random forest, boosted regression trees, and support vector machine for the crop choice prediction. Boosted regression trees perform the best in our classification problem with 75.5% out of sample accuracy. The prediction model shows that the numbers of corn growers increase in the future. Our results show that the profit of 2572 farmers increased cumulatively by 0.14% when they conserve groundwater by 30% for 3 years. From a policy perspective, providing financial and technical assistant to farmers for making investments to conserve groundwater could save energy costs and sustain the economic life of the MRAA.
{"title":"Potential economic impacts of groundwater conservation in the Mississippi River Alluvial Aquifer (MRAA), Louisiana, USA","authors":"D. Bhatta, K. Paudel, Bin Li","doi":"10.1111/nrm.12330","DOIUrl":"https://doi.org/10.1111/nrm.12330","url":null,"abstract":"Overextraction of groundwater reduces groundwater height, increases the energy cost, and may threaten an aquifer's economic life. Water‐intensive crops, corn, and soybean, dominate the agricultural land in the Mississippi River Alluvial Aquifer (MRAA) region of the United States, thus stressing this confined aquifer. Groundwater conservation policy or the adoption of efficient irrigation technology could save both water and energy. This study aims to estimate the future returns from the irrigated land under the scenarios of 30%, 20%, 10%, 5%, and no groundwater conservation from 2020 to 2022. An accurate model to predict the crop choice decision is important to estimate the impact of groundwater policies. We develop a crop choice model where an individual farmer has a crop planting or land fallowing choice each year. We use the random forest, boosted regression trees, and support vector machine for the crop choice prediction. Boosted regression trees perform the best in our classification problem with 75.5% out of sample accuracy. The prediction model shows that the numbers of corn growers increase in the future. Our results show that the profit of 2572 farmers increased cumulatively by 0.14% when they conserve groundwater by 30% for 3 years. From a policy perspective, providing financial and technical assistant to farmers for making investments to conserve groundwater could save energy costs and sustain the economic life of the MRAA.","PeriodicalId":49778,"journal":{"name":"Natural Resource Modeling","volume":null,"pages":null},"PeriodicalIF":1.6,"publicationDate":"2021-09-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43707160","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Xianzhong Mu, L. Kong, Chuang Tu, Jian Chen, Guangwen Hu
The coordination of economy, energy, and environment plays an important role for cities seeking green transformation and sustainable development. However, poor information and equivocal data are what often face the related analysis. In this paper, the correlation and synergy of the urban economy–energy–environment system are analyzed. First, the Grey relational analysis and entropy weight method are combined and introduced to analyze the correlation degree in the indicator level and the subsystem level of the 3E system. Then, the concepts of ordinal parameter and comprehensive correlation degree are introduced, to evaluate the ordering degree of subsystems and the synergy degree of compound systems. Finally, the data of Beijing from 2008 to 2017 are used for empirical study. Results suggest that a fluctuating tendency of low synergy or none synergy is observed in the Beijing 3E system. Furthermore, the improvement of the energy subsystem displays dominant effects on the coordinated development of compound systems, and the technological innovation and structural optimization in industries could help to improve the Beijing economy–energy–environment system.
{"title":"Correlation and synergy analysis of urban economy–energy–environment system—A case study of Beijing","authors":"Xianzhong Mu, L. Kong, Chuang Tu, Jian Chen, Guangwen Hu","doi":"10.1111/nrm.12329","DOIUrl":"https://doi.org/10.1111/nrm.12329","url":null,"abstract":"The coordination of economy, energy, and environment plays an important role for cities seeking green transformation and sustainable development. However, poor information and equivocal data are what often face the related analysis. In this paper, the correlation and synergy of the urban economy–energy–environment system are analyzed. First, the Grey relational analysis and entropy weight method are combined and introduced to analyze the correlation degree in the indicator level and the subsystem level of the 3E system. Then, the concepts of ordinal parameter and comprehensive correlation degree are introduced, to evaluate the ordering degree of subsystems and the synergy degree of compound systems. Finally, the data of Beijing from 2008 to 2017 are used for empirical study. Results suggest that a fluctuating tendency of low synergy or none synergy is observed in the Beijing 3E system. Furthermore, the improvement of the energy subsystem displays dominant effects on the coordinated development of compound systems, and the technological innovation and structural optimization in industries could help to improve the Beijing economy–energy–environment system.","PeriodicalId":49778,"journal":{"name":"Natural Resource Modeling","volume":null,"pages":null},"PeriodicalIF":1.6,"publicationDate":"2021-08-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1111/nrm.12329","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46697894","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Xiaojing Liu, Longjunjiang Huang, Juan Du, Fangting Xie, Shubin Zhu
This study analyzes the potentially differentiated impacts of actual and perceived tenure security on rural households' forestland transfer behavior. Logit and Tobit models were estimated using repeated survey data from 505 households in 50 villages of Jiangxi Province during 2017–2018. The results show that there is a great difference in the influence of actual and perceived tenure security on the transfer behavior. Issuing forest tenure certificates promotes the renting out of forestland by households but has no significant effect on forestland renting in. Meanwhile, perceived tenure security has a significant effect on forestland transfer behavior. Households' understanding and evaluation of the existing tenure policy also has a significantly positive impact on household's rent‐out behavior. Further, the logging quota system has a significantly negative effect on household's renting in and out behavior. Our analysis suggests that the government should strive to improve the awareness of rural families regarding forest tenure policy and that the logging quota should be modified to incentivize farmers' active participation in forest management.
{"title":"Forestland transfer between rural households in Jiangxi, China: Differentiated effects of actual and perceived tenure security","authors":"Xiaojing Liu, Longjunjiang Huang, Juan Du, Fangting Xie, Shubin Zhu","doi":"10.1111/nrm.12327","DOIUrl":"https://doi.org/10.1111/nrm.12327","url":null,"abstract":"This study analyzes the potentially differentiated impacts of actual and perceived tenure security on rural households' forestland transfer behavior. Logit and Tobit models were estimated using repeated survey data from 505 households in 50 villages of Jiangxi Province during 2017–2018. The results show that there is a great difference in the influence of actual and perceived tenure security on the transfer behavior. Issuing forest tenure certificates promotes the renting out of forestland by households but has no significant effect on forestland renting in. Meanwhile, perceived tenure security has a significant effect on forestland transfer behavior. Households' understanding and evaluation of the existing tenure policy also has a significantly positive impact on household's rent‐out behavior. Further, the logging quota system has a significantly negative effect on household's renting in and out behavior. Our analysis suggests that the government should strive to improve the awareness of rural families regarding forest tenure policy and that the logging quota should be modified to incentivize farmers' active participation in forest management.","PeriodicalId":49778,"journal":{"name":"Natural Resource Modeling","volume":null,"pages":null},"PeriodicalIF":1.6,"publicationDate":"2021-08-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1111/nrm.12327","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43669451","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Can fed aquaculture growth alleviate overfishing and foster the conservation of wild fish stocks? To examine this question we present a stylized fishery model of trade in edible fish and fishmeal that incorporates both market linkages and biological (predator–prey) linkages between the aquaculture sector and capture fisheries. We study the effects of local aquaculture growth, as induced by an increase in aquaculture feed‐efficiency (technology shock), and of external or global aquaculture growth as experienced by either a drop in the price of edible fish or as an increase in the price of fishmeal (price shocks). While domestic (or “local”) aquaculture growth increases wild fish stocks due to positive market interactions, the effects of external (or “global”) aquaculture growth are generally ambiguous and depend on the strength of biological linkages. A stylized empirical application of the cod (predator) and capelin (prey) fisheries in the Barents Sea illustrates that the biological linkages between cod and capelin reduce the positive impact of aquaculture on cod conservation roughly by 50%.
{"title":"Can global aquaculture growth help to conserve wild fish stocks? Theory and empirical analysis","authors":"C. Bogmans, D. Soest","doi":"10.1111/nrm.12323","DOIUrl":"https://doi.org/10.1111/nrm.12323","url":null,"abstract":"Can fed aquaculture growth alleviate overfishing and foster the conservation of wild fish stocks? To examine this question we present a stylized fishery model of trade in edible fish and fishmeal that incorporates both market linkages and biological (predator–prey) linkages between the aquaculture sector and capture fisheries. We study the effects of local aquaculture growth, as induced by an increase in aquaculture feed‐efficiency (technology shock), and of external or global aquaculture growth as experienced by either a drop in the price of edible fish or as an increase in the price of fishmeal (price shocks). While domestic (or “local”) aquaculture growth increases wild fish stocks due to positive market interactions, the effects of external (or “global”) aquaculture growth are generally ambiguous and depend on the strength of biological linkages. A stylized empirical application of the cod (predator) and capelin (prey) fisheries in the Barents Sea illustrates that the biological linkages between cod and capelin reduce the positive impact of aquaculture on cod conservation roughly by 50%.","PeriodicalId":49778,"journal":{"name":"Natural Resource Modeling","volume":null,"pages":null},"PeriodicalIF":1.6,"publicationDate":"2021-08-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1111/nrm.12323","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48831224","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
During years of high sea surface temperature, food resources for glaucous‐winged gulls (Larus glaucescens) are scarce. In response, male gulls cannibalize the eggs of neighbors. When this occurs, female gulls in dense areas of the colony adopt a tactic of egg‐laying synchrony, in which they lay eggs synchronously on an every‐other‐day schedule. Field observations show that the first‐laid egg of each clutch is the most likely to be cannibalized. In this paper, we analyzed a discrete‐time model of egg‐laying behavior that tracks egg order in the nest. Using Jury conditions, we found that the equilibrium destabilizes into a two‐cycle as colony density (nests per unit area) increases through a critical value, and that the two‐cycle becomes increasingly synchronous as density increases further. We demonstrated that more eggs survive cannibalism in synchronous colonies than in nonsynchronous colonies.
{"title":"Cannibalism and synchrony in seabird egg‐laying behavior","authors":"Yosia I. Nurhan, S. Henson","doi":"10.1111/nrm.12325","DOIUrl":"https://doi.org/10.1111/nrm.12325","url":null,"abstract":"During years of high sea surface temperature, food resources for glaucous‐winged gulls (Larus glaucescens) are scarce. In response, male gulls cannibalize the eggs of neighbors. When this occurs, female gulls in dense areas of the colony adopt a tactic of egg‐laying synchrony, in which they lay eggs synchronously on an every‐other‐day schedule. Field observations show that the first‐laid egg of each clutch is the most likely to be cannibalized. In this paper, we analyzed a discrete‐time model of egg‐laying behavior that tracks egg order in the nest. Using Jury conditions, we found that the equilibrium destabilizes into a two‐cycle as colony density (nests per unit area) increases through a critical value, and that the two‐cycle becomes increasingly synchronous as density increases further. We demonstrated that more eggs survive cannibalism in synchronous colonies than in nonsynchronous colonies.","PeriodicalId":49778,"journal":{"name":"Natural Resource Modeling","volume":null,"pages":null},"PeriodicalIF":1.6,"publicationDate":"2021-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1111/nrm.12325","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48501677","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
For nearly a decade, editors of Natural Resource Modeling have organized special sessions as part of the Joint Mathematics Meetings (JMM). The JMM is an annual conference that brings together thousands of mathematicians and provides an excellent venue to showcase research in natural resource modeling. The idea for this special issue emerged after talks given at the JMM held in Baltimore, Maryland in January 2019 as well as the JMM held in Denver, Colorado in January 2020 as part of such special sessions. The collection of articles in this special issue highlight the breadth of research topics that fall under the umbrella of natural resource modeling. Within this issue, readers will learn about optimal harvest times that, for example, maximize stock and yield while minimizing costs. Another article investigates the management of fungal pathogens affecting bats. Readers will also learn about modern issues related to predator–prey and host–parasitoid–hyperparasitoid systems as well as synchrony and cannibalism. Strategies for individuals to achieve computational fluency, often a central component of research in resource modeling, is explored. I would like to thank all of the authors for their contributions and the reviewers for their help in the process. I also thank Shandelle Henson, the Editor‐in‐Chief of Natural Resource Modeling, for her support in creating this special issue. Lastly, I thank Suzanne Robertson, for her help in editing this special issue. I hope the readers enjoy learning more about the topics explored in the articles and find them informative for their own research endeavors.
{"title":"Editorial","authors":"J. Blackwood","doi":"10.1111/nrm.12328","DOIUrl":"https://doi.org/10.1111/nrm.12328","url":null,"abstract":"For nearly a decade, editors of Natural Resource Modeling have organized special sessions as part of the Joint Mathematics Meetings (JMM). The JMM is an annual conference that brings together thousands of mathematicians and provides an excellent venue to showcase research in natural resource modeling. The idea for this special issue emerged after talks given at the JMM held in Baltimore, Maryland in January 2019 as well as the JMM held in Denver, Colorado in January 2020 as part of such special sessions. The collection of articles in this special issue highlight the breadth of research topics that fall under the umbrella of natural resource modeling. Within this issue, readers will learn about optimal harvest times that, for example, maximize stock and yield while minimizing costs. Another article investigates the management of fungal pathogens affecting bats. Readers will also learn about modern issues related to predator–prey and host–parasitoid–hyperparasitoid systems as well as synchrony and cannibalism. Strategies for individuals to achieve computational fluency, often a central component of research in resource modeling, is explored. I would like to thank all of the authors for their contributions and the reviewers for their help in the process. I also thank Shandelle Henson, the Editor‐in‐Chief of Natural Resource Modeling, for her support in creating this special issue. Lastly, I thank Suzanne Robertson, for her help in editing this special issue. I hope the readers enjoy learning more about the topics explored in the articles and find them informative for their own research endeavors.","PeriodicalId":49778,"journal":{"name":"Natural Resource Modeling","volume":null,"pages":null},"PeriodicalIF":1.6,"publicationDate":"2021-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1111/nrm.12328","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48454995","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
D. Ghonchepour, Amir Sadoddin, A. Bahremand, B. Croke, A. Jakeman, A. Salmanmahiny
This study aims to present a process for hydrological model exploration for selecting an appropriate model compatible with the modeling objectives. The process consists of three stages: (1) initial choice based on the modeling objectives; (2) model selection based on intercomparison among underlying conceptualizations of the models; and (3) final model selection based on influencing criteria such as availability of the model software and documentation, and availability of appropriate data. As an applied example, the process was used to find an appropriate model for a project to evaluate water supply and demand under climate and land use change scenarios in the Gorgan‐rud River Basin, Iran. The criteria affecting the final choice of a hydrological model were classified into three categories: (1) criteria related to the model, (2) criteria related to the model user, and (3) criteria related to the study area.
{"title":"A methodological framework for the hydrological model selection process in water resource management projects","authors":"D. Ghonchepour, Amir Sadoddin, A. Bahremand, B. Croke, A. Jakeman, A. Salmanmahiny","doi":"10.1111/nrm.12326","DOIUrl":"https://doi.org/10.1111/nrm.12326","url":null,"abstract":"This study aims to present a process for hydrological model exploration for selecting an appropriate model compatible with the modeling objectives. The process consists of three stages: (1) initial choice based on the modeling objectives; (2) model selection based on intercomparison among underlying conceptualizations of the models; and (3) final model selection based on influencing criteria such as availability of the model software and documentation, and availability of appropriate data. As an applied example, the process was used to find an appropriate model for a project to evaluate water supply and demand under climate and land use change scenarios in the Gorgan‐rud River Basin, Iran. The criteria affecting the final choice of a hydrological model were classified into three categories: (1) criteria related to the model, (2) criteria related to the model user, and (3) criteria related to the study area.","PeriodicalId":49778,"journal":{"name":"Natural Resource Modeling","volume":null,"pages":null},"PeriodicalIF":1.6,"publicationDate":"2021-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1111/nrm.12326","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43048843","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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