Regional Sustainability最新文献

{"title":"Assessment of the impact of climate change on the occurrences of malaria, pneumonia, meningitis, and cholera in Lokoja City, Nigeria","authors":"Isaac Ayo Oluwatimilehin ,&nbsp;Joseph Omojesu Akerele ,&nbsp;Tolulope Adedoyin Oladeji ,&nbsp;Mojisola Hannah Omogbehin ,&nbsp;Godwin Atai","doi":"10.1016/j.regsus.2022.11.007","DOIUrl":"10.1016/j.regsus.2022.11.007","url":null,"abstract":"<div><p>This study examined the impact of climate change on the occurrence of malaria, pneumonia, meningitis, and cholera in Lokoja City, Nigeria with the aim of investigating the spatial distribution and prevalence of the four kinds of diseases as well as the coping strategies of people in the area. We collected the rainfall and temperature data of Lokoja City during 2000–2020 from the National Aeronautics and Space Administration (NASA), and the medical records data of the four kinds of diseases from the Kogi State Ministry of Health. We also conducted a semi-structured questionnaire of 250 residents, who have experienced one of these diseases, to investigate their coping strategies with these diseases. The Pearson correlation and multiple regression analysis were used to research the relationship between the climate parameters and cases of diseases. The result showed annual variations in climatic parameters with <em>R</em>² ​= ​0.0557, 0.0009, and 0.4915 for rainfall, maximum and minimum temperatures respectively. A positive and significant relationship were observed between maximum temperature and malaria (<em>r</em> ​= ​0.80), rainfall and malaria (<em>r</em> ​= ​0.54), minimum temperature and meningitis (<em>r</em> ​= ​0.64), as well as rainfall and cholera (<em>r</em> ​= ​0.66) at <em>P</em> ​&lt; ​0.05. For the regression analysis <em>R</em>² ​= ​0.71, 0.50, and 0.52 for malaria, cholera, and meningitis, respectively at <em>P</em> ​&lt; ​0.05. During 2000–2020, cases of malaria were highest in Ward A with 15,422, while 715 cases of pneumonia were highest in Kupa North. In Ward A 3787 cases of cholera were recorded to be the highest, while cases of meningitis were highest in Kupa North with 2383 cases. Investigation revealed that malaria is more common in the wet season while cholera and meningitis cases were highest in the dry season. The study revealed that the most practiced coping strategy is the use of medications by about 90% of the respondents. More studies are recommended in the study area to establish a causal link between climate change and disease occurrences, and intervention from government in form of prevention and control programmes should be vigorously implemented.</p></div>","PeriodicalId":34395,"journal":{"name":"Regional Sustainability","volume":"3 4","pages":"Pages 309-318"},"PeriodicalIF":0.0,"publicationDate":"2022-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2666660X2200069X/pdfft?md5=6c5593ce29f528f94fa4926ec6d46d47&pid=1-s2.0-S2666660X2200069X-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49112039","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Right-wing and populist support for climate mitigation policies: Evidence from Poland and its carbon-intensive Silesia region","authors":"Mahir Yazar ,&nbsp;Lukas Hermwille ,&nbsp;Håvard Haarstad","doi":"10.1016/j.regsus.2022.11.001","DOIUrl":"10.1016/j.regsus.2022.11.001","url":null,"abstract":"<div><p>Research on environmental behaviour is often overlooked in literature on regime destabilization in energy transitions. This study addresses that gap by focusing on socio-political and demographic factors shaping support for carbon regime destabilization policies in one of the most carbon-intensive regions of Europe. Carbon-intensive industries, especially coal mining and coal-based power generation, are often concentrated in a few carbon-intensive regions. Therefore, decarbonization actions will affect those regions particularly strongly. Correspondingly, carbon-intensive regions often exert significant political influence on the two climate mitigation policies at the national level. Focusing on Poland, we investigate socio-political and demographic factors that correlate with the approval or rejection of the two climate mitigation policies: increasing taxes on fossil fuels such as oil, gas, and coal and using public money to subsidize renewable energy such as wind and solar power in Poland and its carbon-intensive Silesia region. Using logistic regression with individual-level data derived from the 2016 European Social Survey (ESS) and the 2014 Chapel Hill Expert Survey (CHES), we find party-political ideology to be an important predictor at the national level but much less so at the regional level. Specifically, voting for right-wing party is not a divisive factor for individual support of the two climate mitigation policies either nationally or regionally. More interestingly, populism is a strong factor in support of increasing taxes on fossil fuel in the carbon-intensive Silesia region but is less important concerning in support of using public money to subsidize renewable energy in Poland overall. These results show the heterogeneity of right-wing party and populism within the support for the two climate mitigation policies. Socio-demographic factors, especially age, gender, education level, employment status, and employment sector, have even more complex and heterogeneous components in support of the two climate mitigation policies at the national and regional levels. Identifying the complex socio-political and demographic factors of climate mitigation policies across different national versus carbon-intensive regional contexts is an essential step for generating <em>in situ</em> decarbonization strategies.</p></div>","PeriodicalId":34395,"journal":{"name":"Regional Sustainability","volume":"3 4","pages":"Pages 281-293"},"PeriodicalIF":0.0,"publicationDate":"2022-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2666660X22000639/pdfft?md5=5a8fa88f6c3c2b74f0a4083d492908ea&pid=1-s2.0-S2666660X22000639-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49399023","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Influencing factors and contribution analysis of CO2 emissions originating from final energy consumption in Sichuan Province, China","authors":"Wei Liu ,&nbsp;Zhijie Jia ,&nbsp;Meng Du ,&nbsp;Zhanfeng Dong ,&nbsp;Jieyu Pan ,&nbsp;Qinrui Li ,&nbsp;Linyan Pan ,&nbsp;Chris Umole","doi":"10.1016/j.regsus.2022.11.006","DOIUrl":"10.1016/j.regsus.2022.11.006","url":null,"abstract":"<div><p>Within the context of CO₂ emission peaking and carbon neutrality, the study of CO₂ emissions at the provincial level is few. Sichuan Province in China has not only superior clean energy resources endowment but also great potential for the reduction of CO₂ emissions. Therefore, using logarithmic mean Divisia index (LMDI) model to analysis the influence degree of different influencing factors on CO₂ emissions from final energy consumption in Sichuan Province, so as to formulate corresponding emission reduction countermeasures from different paths according to the influencing factors. Based on the data of final energy consumption in Sichuan Province from 2010 to 2019, we calculated CO₂ emission by the indirect emission calculation method. The influencing factors of CO₂ emissions originating from final energy consumption in Sichuan Province were decomposed into population size, economic development, industrial structure, energy consumption intensity, and energy consumption structure by the Kaya–logarithmic mean Divisia index (LMDI) decomposition model. At the same time, grey correlation analysis was used to identify the correlation between CO₂ emissions originating from final energy consumption and the influencing factors in Sichuan Province. The results showed that population size, economic development and energy consumption structure have positive contributions to CO₂ emissions from final energy consumption in Sichuan Province, and economic development has a significant contribution to CO₂ emissions from final energy consumption, with a contribution rate of 519.11%. The industrial structure and energy consumption intensity have negative contributions to CO₂ emissions in Sichuan Province, and both of them have significant contributions, among which the contribution rate of energy consumption structure was 325.96%. From the perspective of industrial structure, secondary industry makes significant contributions and will maintain a restraining effect; from the perspective of energy consumption structure, industry sector has a significant contribution. The results of this paper are conducive to the implementation of carbon emission reduction policies in Sichuan Province.</p></div>","PeriodicalId":34395,"journal":{"name":"Regional Sustainability","volume":"3 4","pages":"Pages 356-372"},"PeriodicalIF":0.0,"publicationDate":"2022-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2666660X22000688/pdfft?md5=2c924392cdc572e8636af26459b0f031&pid=1-s2.0-S2666660X22000688-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41939918","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Latent dimensions between water use and socio-economic development: A global exploratory statistical analysis","authors":"Edson Elídio Balata ,&nbsp;Hugo Pinto ,&nbsp;Manuela Moreira da Silva","doi":"10.1016/j.regsus.2022.09.004","DOIUrl":"10.1016/j.regsus.2022.09.004","url":null,"abstract":"<div><p>Water use and socio-economic development are interconnected in complex ways. Causalities are not easy to identify but it is evident that a nexus between water use and socio-economic development does exist. Considering the diversity of national situations relating to these interrelated phenomena, its study should be considered from a global perspective. This article critically reviews the literature and information from official sources on the relevance of water use and circular economy in order to create a global picture, linking water with socio-economic development. Data from 195 countries was analyzed statistically. A factor analysis defined five essential latent dimensions on the nexus between water use and socio-economic development: development and basic services, population and resource, economic volume, health and well-being, and population density. Based on the identified factors, countries were classified into six groups: Global South in difficulty, global semi-periphery, advanced economy, Middle East and other Global South developing economy, global weight, and small highly developed economy. The clustering results clarify connections between water use conditions and socio-economic development. Understanding the variety of national profiles is helpful to reveal the magnitude and urgency of dealing with the nexus between water use and socio-economic development for many countries.</p></div>","PeriodicalId":34395,"journal":{"name":"Regional Sustainability","volume":"3 3","pages":"Pages 269-280"},"PeriodicalIF":0.0,"publicationDate":"2022-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2666660X22000494/pdfft?md5=2edce22fcf3a32b9d7e638ced8e15ac2&pid=1-s2.0-S2666660X22000494-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48045236","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Regional characteristics and spatiotemporal differentiation of the prevalence of hand, foot, and mouth disease in Xinjiang, China","authors":"Ma Chen ,&nbsp;Wang Hongwei ,&nbsp;Xie Ling ,&nbsp;Yi Suyan ,&nbsp;Tan Bo","doi":"10.1016/j.regsus.2022.09.001","DOIUrl":"10.1016/j.regsus.2022.09.001","url":null,"abstract":"<div><p>In recent years, the number of hand, foot, and mouth disease (HFMD) cases in China has continued to grow, and the disease has become a serious public health issue. Xinjiang Uygur Autonomous Region is located in the arid areas of Northwest China, where the epidemiological trend of HFMD is gradually increasing and characterized by geographical heterogeneity. In this study, based on the HFMD case data in all counties and cities in Xinjiang, we employed statistical and GIS spatial analyses, and geographic probe models to characterize the spatiotemporal differentiation of HFMD epidemics in Xinjiang during the period of 2009–2018, and quantitatively analyzed the factors influencing the spatial differentiation of HFMD epidemics. The results showed that HFMD incidence rate in Xinjiang had non-stationary temporal characteristics on the interannual and monthly scales, and the monthly variation characteristics of HFMD epidemic were quite different in southern and northern Xinjiang. The spatial distribution characteristics of HFMD epidemics showed a north–south spatial differentiation pattern with the Tianshan Mountains as the boundary; cold spot and hot spot of HFMD epidemics in Xinjiang have shifted from scattered to concentrated, and the spatial differentiation pattern had gradually stabilized. Moreover, the dominant factors influencing the spatial differentiation of HFMD epidemics in Xinjiang were socioeconomic factors, such as per capita GDP and urbanization rate, while the basic factors affecting its spatial differentiation were natural environmental factors. The spatial differentiation and evolution patterns of HFMD epidemics differed between northern and southern Xinjiang. Specifically, the leading role of socioeconomic factors is more obvious in southern Xinjiang than in northern Xinjiang, while natural environmental factors (e.g., dryness and relative humidity) contribute to the prevalence of HFMD epidemics in northern Xinjiang, and the perturbing effect of these factors was more prominent than other factors. The results of this study can provide a scientific basis for the prevention of HFMD epidemics and early warning of HFMD epidemics in Xinjiang.</p></div>","PeriodicalId":34395,"journal":{"name":"Regional Sustainability","volume":"3 3","pages":"Pages 208-222"},"PeriodicalIF":0.0,"publicationDate":"2022-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2666660X22000469/pdfft?md5=d8846628d439ccb3fddd3cdd6fcee690&pid=1-s2.0-S2666660X22000469-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48362471","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Post-displacement status of climate migrants in Rajshahi City, Bangladesh","authors":"Syed Mahbubur Rahman ,&nbsp;Mahreen Mamoon ,&nbsp;Md Shamimul Islam ,&nbsp;Saif Hossain ,&nbsp;Rezwanul Haque ,&nbsp;Abul Bashar Md Zubair","doi":"10.1016/j.regsus.2022.09.002","DOIUrl":"10.1016/j.regsus.2022.09.002","url":null,"abstract":"<div><p>Some big cities in Bangladesh have been experiencing a massive and rapid influx of rural people due to the impacts of climate change, and therefore the urban administration encounters enormous challenges. This study aims to investigate the drivers of climate-induced migration and the post-displacement status of the migrants living in the urban slum of Rajshahi City. Using a semi-structured questionnaire survey, this study conducted interviews with 50 migrants residing in two slums in Rajshahi City. An interpretive phenomenological analysis (IPA) approach was implemented to evaluate the survey data. This study finds that food insecurity and flood are the two significant climate drivers of migration. Among the non-climate drivers, lack of alternative livelihood is the major reason. It should be noticed that the climate migrants in many cases do not get the opportunity to improve their living standards; they are usually occupied with low-pay professions like maid, van and rickshaw puller, and scrap collector. The study also reveals that migrants, especially females and children, need several basic physiological, economic, social, and health services. Most children have no chance to attend school. Compared to males, females have more opportunities for some support and allowances. Overall, an inadequate level of change has taken place in the lives of migrants, which raises the concern if migration is ever a way to resolve a problem or the beginning of many other problems. Further researches may concentrate on the impact of migration on the dynamics of social capital among slum dwellers.</p></div>","PeriodicalId":34395,"journal":{"name":"Regional Sustainability","volume":"3 3","pages":"Pages 183-187"},"PeriodicalIF":0.0,"publicationDate":"2022-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2666660X22000470/pdfft?md5=1c629b6e2070ac2fb74e21891d8c44ca&pid=1-s2.0-S2666660X22000470-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46438378","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Nexus between selected macroeconomic variables and carbon emission in Kenya","authors":"James Njumwa,&nbsp;Ernest Saina,&nbsp;Alfred Serem","doi":"10.1016/j.regsus.2022.10.003","DOIUrl":"10.1016/j.regsus.2022.10.003","url":null,"abstract":"<div><p>Agriculture is not only influenced by climate change, but it is also one of the significant contributors of CO₂ emission. Understanding CO₂ emission and macroeconomic variables is critical to solving the challenges and threats faced by Kenya's agriculture and environment. This study used the Environmental Kuznets Curve (EKC) hypothesis and the autoregressive distribution lag model (ADLM) to analyze the relationships of CO₂ emission with agricultural output, government direct investment, trade openness, and inflation rate in Kenya from 1983 to 2019. The study found that there exists a positive (direct) relationship between CO₂ emission and foreign direct investment in the long run in Kenya. Additionally, CO₂ emission and trade openness have a negative (indirect) and statistically significant relationship after the error correction term adjustment in the long run. Moreover, the relationship between CO₂ emission and agricultural output is positive (direct) and statistically significant in the long run. There is a positive (direct) and statistically insignificant relationship between CO₂ emission and inflation rate in the short run. Notably, the EKC hypothesis indicated that the Kenya's economy is still on the environmental degradation trade-off through the gradual increase of both CO₂ emission and agricultural output. Our results are important to Kenya's economy because the derived insights will assist in relevant departments to formulate sustainable strategies to minimize environmental degradation.</p></div>","PeriodicalId":34395,"journal":{"name":"Regional Sustainability","volume":"3 3","pages":"Pages 233-243"},"PeriodicalIF":0.0,"publicationDate":"2022-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2666660X22000524/pdfft?md5=88533308e064000bd85780f14404e065&pid=1-s2.0-S2666660X22000524-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44567667","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Exploring the dynamic evolutionary mechanism of game model on the protection of traditional villages","authors":"Jiaqi Li ,&nbsp;Tao Jin ,&nbsp;Wei Xiang ,&nbsp;Qinzhen Huang","doi":"10.1016/j.regsus.2022.09.003","DOIUrl":"10.1016/j.regsus.2022.09.003","url":null,"abstract":"<div><p>With the rapid improvement of urbanization and industrialization in countries around the world, how to effectively solve the rapid demise of traditional villages is a social dilemma faced by all countries, which is why a series of relevant protection regulations have been promulgated in different historical periods. However, the formulation of relevant policies is still not scientific, universal, and long-term. In this study, we constructed an evolutionary game model of local governments and residents based on the evolutionary game theory (EGT), which is used to explore the evolutionary stability strategy (ESS) and stability conditions of stakeholders under the premise of mutual influence and restriction. Besides, the study also includes the analysis about the impacts of different influence factors on the evolution tendency of the game model. At the same time, numerical simulation examples were used to verify the theoretical results and three crucial conclusions have been drawn. Firstly, the strategic evolution of stakeholders is a dynamic process of continuous adjustment and optimization, and its results and speed show consistent interdependence. Secondly, the decision-making of stakeholders mainly depends on the basic cost, and the high cost of investment is not conducive to the protection of traditional villages. Thirdly, the dynamic evolutionary mechanism composed of different influence factors will have an impact on the direction and speed of decision-making of stakeholders, which provides the basis for them to effectively restrict the decision-making of each other. This study eliminates the weaknesses of existing research approaches and provides scientific and novel ideas for the protection of traditional villages, which can contribute to the formulation and improvement of the relevant laws and regulations.</p></div>","PeriodicalId":34395,"journal":{"name":"Regional Sustainability","volume":"3 3","pages":"Pages 188-207"},"PeriodicalIF":0.0,"publicationDate":"2022-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2666660X22000482/pdfft?md5=74e5bd7f444f40f8659a8084cf483002&pid=1-s2.0-S2666660X22000482-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49625907","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"GIS-based assessment of land-agroforestry potentiality of Jharkhand State, India","authors":"Firoz Ahmad ,&nbsp;Nazimur Rahman Talukdar ,&nbsp;Laxmi Goparaju ,&nbsp;Chandrashekhar Biradar ,&nbsp;Shiv Kumar Dhyani ,&nbsp;Javed Rizvi","doi":"10.1016/j.regsus.2022.10.004","DOIUrl":"10.1016/j.regsus.2022.10.004","url":null,"abstract":"<div><p>Scaling-up agroforestry areas in various forms is a scientific path towards achieving various sustainable development goals (SDGs), especially improving livelihood, reducing poverty, conserving environment and biodiversity, and transforming climate change. In this study, the effort was made to investigate the land potentiality for agroforestry at the district level in Jharkhand State, India by applying geographic information system (GIS) modeling technology using climate (temperature and precipitation), topography (slope and elevation), ecology (percent tree cover and normalized difference vegetation index (NDVI)), and social economics (poverty rate and tribal dominance) factors. The results revealed that six districts of Jharkhand State had agroforestry potential greater than 60.00%. The highest agroforestry suitability was found in Simdega District (78.20%), followed by Pakur (76.25%), West Singhbhum (72.70%), Dumka (68.84%), Sahibganj (64.63%), and Godda (63.43%) districts. Additionally, we identified 513 out of 32,620 villages of Jharkhand State potentially suitable (agroforestry suitability ≥80.00%) for agroforestry with the objective of life improvement among marginalized society. Under the outside forest area, 8.58% of the total geographical land of Jharkhand State was wasteland, much of which was found suitable for agroforestry practices. The agroforestry setups in those wastelands can absorb 637 ​t carbon annually in long run and can provide direct economic benefits to the locals besides additional income for carbon emission reduction. This study concluded that Jharkhand State has plenty of high potential land for agroforestry, and adoption of agroforestry at the village level must be given high priority. This study could guide the nodal authorities to prepare appropriate strategies for scaling the tree cover in agroforestry systems in village-level landscape planning which needs policy attention and investment for achieving 9 out of the 17 SDGs.</p></div>","PeriodicalId":34395,"journal":{"name":"Regional Sustainability","volume":"3 3","pages":"Pages 254-268"},"PeriodicalIF":0.0,"publicationDate":"2022-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2666660X22000536/pdfft?md5=5063397f2a53b6741036736a45aae6a3&pid=1-s2.0-S2666660X22000536-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43689753","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Spatial variability and driving factors of soil multifunctionality in drylands of China","authors":"Shihang Zhang ,&nbsp;Yusen Chen ,&nbsp;Yongxing Lu ,&nbsp;Hao Guo ,&nbsp;Xing Guo ,&nbsp;Chaohong Liu ,&nbsp;Xiaobing Zhou ,&nbsp;Yuanming Zhang","doi":"10.1016/j.regsus.2022.10.001","DOIUrl":"10.1016/j.regsus.2022.10.001","url":null,"abstract":"<div><p>Drylands are highly vulnerable to climate change and human activities. The drylands of China account for approximately 10.8% of global drylands, and China is the country most severely affected by aridity in Asia. Therefore, studying the spatial variation characteristics in soil multifunctionality (SMF) and investigating the driving factors are critical for elucidating and managing the functions of dryland ecosystems in China. Based on the environmental factors (mean annual precipitation (MAP), mean annual temperature (MAT), solar radiation (Srad), soil acidity (pH), enhanced vegetation index (EVI), and cation exchange capacity (CEC)) and aridity from the Dataset of soil properties for land surface modeling over China, we used non-linear regression, ordinary least square (OLS) regression, structural equation model (SEM), and other analytical methods to investigate the relationships of SMF with environmental factors across different aridity levels in China. SMF in different dryland regions varied significantly and showed a patchy distribution, with SMF index values ranging from −1.21 to 2.42. Regions with SMF index values from −0.20 to 0.51 accounting for 63.0% of dryland area in China. OLS regression results revealed that environmental factors like MAP, MAT, Srad, pH, EVI, and CEC were significantly related to SMF (<em>P</em> ​&lt; ​0.05). MAP and MAT were correlated to SMF at the whole aridity level (<em>P</em> ​&lt; ​0.05). SEM results showed that the driving factors of SMF differed depending on the aridity level. Soil pH was the strongest driving factor of SMF when the aridity was less than 0.80 (<em>P</em> ​&lt; ​0.001). Both soil CEC and EVI had a positive effect on SMF when aridity was greater than 0.80 (<em>P</em> ​&lt; ​0.01), with soil CEC being the strongest driving factor. The importance ranking revealed that the relative importance contribution of soil pH to SMF was greatest when aridity was less than 0.80 (66.9%). When aridity was set to greater than 0.80, the relative importance contributions of CEC and EVI to SMF increased (45.1% and 31.9%, respectively). Our findings indicated that SMF had high spatial heterogeneity in drylands of China. The aridity threshold controlled the impact of environmental factors on SMF.</p></div>","PeriodicalId":34395,"journal":{"name":"Regional Sustainability","volume":"3 3","pages":"Pages 223-232"},"PeriodicalIF":0.0,"publicationDate":"2022-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2666660X22000500/pdfft?md5=a84a403709303fcedf45e055fb7e5c6d&pid=1-s2.0-S2666660X22000500-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43776058","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}