scholarly journals Environmental evolution of Lake Liangzi and its driving factors over the past 100 years, Hubei Province

2016 ◽  
Vol 28 (3) ◽  
pp. 545-553 ◽  
Author(s):  
ZHANG Qinghui ◽  
◽  
DONG Xuhui ◽  
YANG Xiangdong
Keyword(s):  
Hubei Province ◽  
Driving Factors ◽  
Environmental Evolution ◽  
The Past

scholarly journals ANALYSIS OF THE SPATIOTEMPORAL CHARACTERISTICS OF HEMORRHAGIC FEVER WITH RENAL SYNDROME IN HUBEI PROVINCE, CHINA

2015 ◽  
Vol II-4/W2 ◽  
pp. 207-210
Author(s):  
H. Fan ◽  
L. Ge ◽  
L. Song ◽  
Q. Zhao
Keyword(s):  
Prevention And Control ◽  
Temporal Distribution ◽  
Hemorrhagic Fever ◽  
Spatiotemporal Analysis ◽  
Systematic Investigation ◽  
Hubei Province ◽  
Spatial And Temporal Distribution ◽  
The Past ◽  
Comprehensive Examination ◽  
And Control

Hemorrhagic fever with renal syndrome(HFRS) is a worldwide fulminant infectious disease. Since the first HFRS cases in Hubei Province were reported in 1957, the disease has spread across the province and Hubei has become one of seriously affected areas in China. However, the epidemic characteristics of HFRS are still not entirely clear. Therefore, a systematic investigation of spatial and temporal distribution pattern of HFRS system is needed. In order to facilitate better prevention and control of HFRS in Hubei Province, in this paper, a GIS spatiotemporal analysis and modeling tool was developed to analyze the spatiotemporal dynamics of the HFRS epidemic, as well as providinga comprehensive examination the dynamic pattern of HFRS in Hubei over the past 30 years (1980-2009), to determine spatiotemporal change trends and the causes of HFRS. This paper describes the experiments and their results.

scholarly journals Spatial-Temporal Differentiation Analysis of Agricultural Land Use Intensity and Its Driving Factors at the County Scale: A Case Study in Hubei Province, China

2020 ◽  
Vol 17 (18) ◽  
pp. 6910
Author(s):  
Li Yu ◽  
Zhanqi Wang ◽  
Hongwei Zhang ◽  
Chao Wei
Keyword(s):  
Land Use ◽  
Agricultural Land ◽  
Hubei Province ◽  
Driving Factors ◽  
The Other ◽  
Moran’S I ◽  
Agricultural Land Use ◽  
Land Use Intensity ◽  
Moran's I ◽  
Continuous Growth

Scientifically characterizing the spatial-temporal distribution characteristics of agricultural land use intensity and analyzing its driving factors are of great significance to the formulation of relevant agricultural land use intensity management policies, the realization of food safety and health, and the achievement of sustainable development goals. Taking Hubei Province as an example, and taking counties as the basic evaluation unit, this paper establishes an agricultural land use intensity evaluation system, explores the spatial autocorrelation of agricultural land use intensity in each county and analyzes the driving factors of agricultural land use intensity. The results show that the agricultural land use intensity in Hubei Province increased as a whole from 2000 to 2016, and the spatial agglomeration about the agricultural land use intensity in Hubei Province experienced a process of continuous growth and a fluctuating decline; the maximum of the Global Moran’s I was 0.430174 (in 2007) and the minimum was 0.148651 (in 2001). In terms of Local Moran’s I, H-H agglomeration units were mainly concentrated in two regions: One comprising the cities of Huanggang, Huangshi and Ezhou, and the other the cities of Xiangyang and Suizhou; the phenomenon is particularly obvious after 2005. On the other hand, factors such as the multiple cropping index (MCI) that reflect farmers’ willingness to engage in agricultural production have a great impact on agricultural land use intensity, the influence of the structure of the industry on agricultural land use intensity varies with the degree of influence of different industries on farmers’ income, and agricultural fiscal expenditure (AFE) has not effectively promoted the intensification of agricultural land use. The present research has important significance for enhancing insights into the sustainable improvement of agricultural land use intensity and for realizing risk control of agricultural land use and development.

scholarly journals One new species of the genus Sinopoda from Hubei Province, with description of the male of Sinopoda angulata (Araneae, Sparassidae)

2020 ◽  
Vol 8 ◽  
Author(s):  
Yang Zhu ◽  
Yang Zhong ◽  
Tingbang Yang
Keyword(s):  
New Species ◽  
Hubei Province ◽  
Current Paper ◽  
The Past ◽  
First Time ◽  
One New Species

In the past year, Prof. Jian Chen conducted several spider collections in Hubei Province. Almost 1000 spiders were collected. After diagnosis, two of them were found to belong to the genus Sinopoda Jäger, 1999. Two Sinopoda Jäger, 1999 species, both from Hubei Province, including one new species, are treated in the current paper: S. angulata Jäger, Gao & Fei, 2002 and S. yichangensis sp. n. (♂). The male of S. angulata is described for the first time from Enshi Tujia and Miao Autonomous Prefecture, Hubei Province. New geographic records are provided as well as photos of the copulatory organs and habitus.

scholarly journals Why do households participate in the loan moratorium in Hungary? Theoretical and empirical considerations

2021 ◽  
Vol 71 (S1) ◽  
pp. 119-140
Keyword(s):  
Survey Data ◽  
Probability Model ◽  
Borrowing Constraints ◽  
Economic Effects ◽  
Driving Factors ◽  
Linear Probability Model ◽  
The Past ◽  
Credit Demand ◽  
Linear Probability

Abstract In order to mitigate the economic effects from the COVID-19 epidemic, a moratorium on loan repayments was introduced in several countries, including Hungary. Essentially, a loan moratorium provides additional finance for participants, allowing theories of both credit demand and consumption to be tested on debtors’ decisions as to whether or not they participate in the programme. In this paper, we use a linear probability model on the Hungarian survey data to examine the driving factors behind the households’ decision to participate in the scheme. Our results show that the younger debtors and those with more children are more likely to utilise the programme. Stretched financial situations, i.e., lower incomes, lower savings and higher payment-to-income ratios, increase the probability of continued participation as well. The chance of participating in the scheme also increases significantly when a household has faced borrowing constraints over the past two years, i.e., it has not been or only partially been able to satisfy its credit demand.

scholarly journals General trends in freshwater ecological restoration practice in China over the past two decades: the driving factors and the evaluation of restoration outcome

2020 ◽  
Author(s):  
Juan Wu ◽  
Yanran Dai ◽  
Shuiping Cheng
Keyword(s):  
Water Quality ◽  
Quality Improvement ◽  
Ecosystem Services ◽  
Ecological Restoration ◽  
Land Reclamation ◽  
Outcome Evaluation ◽  
Driving Factors ◽  
Freshwater Ecosystem ◽  
Water Quality Improvement ◽  
The Past

Abstract Background Although freshwater ecological restoration (FER) has undergone an immense development in China either in the number of projects or in the spatial scale of implementations, a dearth of clear and comprehensive trends in this field is still a particular concern. We conducted a literature survey through searching the database of Web of Science between 1998-2017.Results A total of 2047 publications were hit and 198 of them were finally retained after manual screening. The number of studies in this field has been steadily increasing in recent years and their provincial distribution is positively correlated with GDP growth and the investment to pollution control and protection, suggesting that economic development is a key driving factor of FER practice. Among the remained articles, nearly half (46.5%) focus on lake ecosystems, and 34.8% and 32.8% of the studies believe that land reclamation and eutrophication are the top two causes of freshwater ecosystem degradation. The overarching target of the restoration is biodiversity increase (31.4%), followed by water quality improvement (24.7%) and ecosystem services (23.9%). Revegetation is the dominant restoration approach (40.9%). Reference sites for assessment of restoration projects are normally control areas or locations without intervention (60%), or the status of the targeted sites before the interventions. For the restoration outcome evaluation, 86% of the studies present positive outcomes in terms of water quality improvement, and 79% have improvement in biological features. The most frequently monitored organisms are macrophytes (31%), then followed by benthos as indicators of ecological condition.Conclusions The literature research indicated that economic growth, water pollution and investment into environmental protection are the main driving factors of FER practice in China. Additionally, the effort of restoration and evaluation over the past two decades has not been limited to improving hydrological function and water quality, but also pay increasingly more attention to biological processes and ecological integrity, and further the ecosystem services in recent years. However, the lack of long-term monitoring and socioeconomic attributes considered in restoration success assessments are still particular issues needed to be addressed in the future FER researches and projects.

scholarly journals Cropland Use Transitions and Their Driving Factors in Poverty-Stricken Counties of Western Hubei Province, China

2019 ◽  
Vol 11 (7) ◽  
pp. 1997 ◽  
Author(s):  
Jingwei Xiang ◽  
Xiaoqing Song ◽  
Jiangfeng Li
Keyword(s):  
Poverty Alleviation ◽  
Socioeconomic Development ◽  
Industrial Structure ◽  
Hubei Province ◽  
Driving Factors ◽  
Economic Policies ◽  
The North ◽  
Urban Rural ◽  
Western Hubei ◽  
Internal Relationship

Agriculture is important for economic development in most poverty-stricken areas in China, but cropland use is facing challenges due to rapid industrialization and urbanization, causing serious issues for poverty alleviation and sustainable socioeconomic development. Cropland Use Transition (CUT) is one way to alleviate poverty and develop the economy in poverty-stricken areas. This paper chose 16 typical poverty-stricken counties in Western Hubei province as the case area. A morphology index system was established to evaluate CUT, and geographic information system software was used to analyze the temporal-spatial variations in CUT. Using the Radial Basis Function Neural Network (RBFNN) model, contributions of driving factors of population, economy, and industrial structure to CUT were analyzed. The results show that: (1) cropland use morphology can be divided into functional morphology and spatial morphology; (2) the spatial distribution of CUT was high in the north and low in the south, the temporal variation of CUT from 1995 to 2013 showed fluctuations, and the coefficient of CUT changed from 0.460 to 0.649 with a growth rate of 41%; (3) for the driving factors, population factors most significantly contributed to CUT, followed by industrial structure and economic factors. The results obtained in this study are in line with the findings of previous studies. The RBFNN model is suitable for evaluating the contributions of driving factors, which can solve the deficiency in previous studies caused by ignoring the internal relationship and target orientation of driving factors. This study suggests that poverty-stricken counties should narrow the urban–rural divide, encourage balanced labor and investment flow into cropland by formulating relevant economic policies, motivate farmers’ agricultural engagement, and use science and technology to promote CUT and the growth of the agricultural economy, poverty alleviation, and to coordinate urban–rural development.

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