Ownership and Control in Chinese Rangeland Management Since Mao: the Case of Free-Riding in Ningxia
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Spatial Heterogeneous of Ecological Vulnerability in Arid and Semi-Arid Area: a Case of the Ningxia Hui Autonomous Region, China
sustainability Article Spatial Heterogeneous of Ecological Vulnerability in Arid and Semi-Arid Area: A Case of the Ningxia Hui Autonomous Region, China Rong Li 1, Rui Han 1, Qianru Yu 1, Shuang Qi 2 and Luo Guo 1,* 1 College of the Life and Environmental Science, Minzu University of China, Beijing 100081, China; [email protected] (R.L.); [email protected] (R.H.); [email protected] (Q.Y.) 2 Department of Geography, National University of Singapore; Singapore 117570, Singapore; [email protected] * Correspondence: [email protected] Received: 25 April 2020; Accepted: 26 May 2020; Published: 28 May 2020 Abstract: Ecological vulnerability, as an important evaluation method reflecting regional ecological status and the degree of stability, is the key content in global change and sustainable development. Most studies mainly focus on changes of ecological vulnerability concerning the temporal trend, but rarely take arid and semi-arid areas into consideration to explore the spatial heterogeneity of the ecological vulnerability index (EVI) there. In this study, we selected the Ningxia Hui Autonomous Region on the Loess Plateau of China, a typical arid and semi-arid area, as a case to investigate the spatial heterogeneity of the EVI every five years, from 1990 to 2015. Based on remote sensing data, meteorological data, and economic statistical data, this study first evaluated the temporal-spatial change of ecological vulnerability in the study area by Geo-information Tupu. Further, we explored the spatial heterogeneity of the ecological vulnerability using Getis-Ord Gi*. Results show that: (1) the regions with high ecological vulnerability are mainly concentrated in the north of the study area, which has high levels of economic growth, while the regions with low ecological vulnerability are mainly distributed in the relatively poor regions in the south of the study area. -
Spatiotemporal Patterns of Desertification Dynamics And
sustainability Article Spatiotemporal Patterns of Desertification Dynamics and Desertification Effects on Ecosystem Services in the Mu Us Desert in China Qingfu Liu 1,†, Yanyun Zhao 1,†, Xuefeng Zhang 1,2, Alexander Buyantuev 3 ID , Jianming Niu 1,* and Xiaojiang Wang 4,* 1 School of Ecology and Environment, Inner Mongolia University, Hohhot 010021, China; [email protected] (Q.L.); [email protected] (Y.Z.); [email protected] (X.Z.) 2 College of Resources and Environment, Baotou Normal College, Inner Mongolia University of Science and Technology, Baotou 014030, China 3 Department of Geography and Planning, University at Albany, State University of New York, Albany, NY 12222, USA; [email protected] 4 Inner Mongolia Academy of Forestry Science, Hohhot 010010, China * Correspondence: [email protected] (J.N.); [email protected] (X.W.); Tel.: +86-471-499-2735 (J.N.) † These authors contributed equally to this work and should be considered co-first authors. Received: 30 December 2017; Accepted: 23 February 2018; Published: 26 February 2018 Abstract: Degradation of semi-arid and arid ecosystems due to desertification is arguably one of the main obstacles for sustainability in those regions. In recent decades, the Mu Us Desert in China has experienced such ecological degradation making quantification of spatial patterns of desertification in this area an important research topic. We analyzed desertification dynamics for seven periods from 1986 to 2015 and focused on five ecosystem services including soil conservation, water retention, net primary productivity (NPP), crop productivity, and livestock productivity, all assessed for 2015. Furthermore, we examined how ecosystem services relate to each other and are impacted by desertification. -
New Species and New Records of the Genus Scrobipalpa Janse (Lepidoptera, Gelechiidae) from China
A peer-reviewed open-access journal ZooKeys 840: 101–131New (2019) species and new records of the genus Scrobipalpa Janse from China 101 doi: 10.3897/zookeys.840.30434 RESEARCH ARTICLE http://zookeys.pensoft.net Launched to accelerate biodiversity research New species and new records of the genus Scrobipalpa Janse (Lepidoptera, Gelechiidae) from China Houhun Li1, Oleksiy Bidzilya2 1 College of Life Sciences, Nankai University, Tianjin 300071, China 2 Institute for Evolutionary Ecology of the National Academy of Sciences of Ukraine, 37 Academician Lebedev str., 03143, Kiev, Ukraine Corresponding author: Houhun Li ([email protected]) Academic editor: E.J. van Nieukerken | Received 9 October 2018 | Accepted 19 March 2019 | Published 17 April 2019 http://zoobank.org/CAA617DD-B1C3-4246-B79A-201920592335 Citation: Li H, Bidzilya O (2019) New species and new records of the genus Scrobipalpa Janse (Lepidoptera, Gelechiidae) from China. ZooKeys 840: 101–131. https://doi.org/10.3897/zookeys.840.30434 Abstract An annotated list of 71 species of the genus Scrobipalpa in China is given. Nine species of the genus Scro- bipalpa Janse, 1951 are described as new: S. triangulella sp. n. (Gansu, Ningxia, Shaanxi), S. punctulata sp. n. (Henan, Shanxi), S. septentrionalis sp. n. (Heilongjiang, Ningxia), S. zhongweina sp. n. (Ningxia), S. tripunctella sp. n. (Hebei, Ningxia, Shanxi), S. ningxica sp. n. (Ningxia), S. psammophila sp. n. (Ningxia), S. zhengi sp. n. (Inner Mongolia, Ningxia), and S. liui sp. n. (Shanxi). Scrobipalpa gorodkovi Bidzilya, 2012 is synonymised with S. subnitens Povolný, 1967. The female of S. flavinerva Bidzilya & Li, 2010 is described for the first time. -
Probing the Spatial Cluster of Meriones Unguiculatus Using the Nest Flea Index Based on GIS Technology
Accepted Manuscript Title: Probing the spatial cluster of Meriones unguiculatus using the nest flea index based on GIS Technology Author: Dafang Zhuang Haiwen Du Yong Wang Xiaosan Jiang Xianming Shi Dong Yan PII: S0001-706X(16)30182-6 DOI: http://dx.doi.org/doi:10.1016/j.actatropica.2016.08.007 Reference: ACTROP 4009 To appear in: Acta Tropica Received date: 14-4-2016 Revised date: 3-8-2016 Accepted date: 6-8-2016 Please cite this article as: Zhuang, Dafang, Du, Haiwen, Wang, Yong, Jiang, Xiaosan, Shi, Xianming, Yan, Dong, Probing the spatial cluster of Meriones unguiculatus using the nest flea index based on GIS Technology.Acta Tropica http://dx.doi.org/10.1016/j.actatropica.2016.08.007 This is a PDF file of an unedited manuscript that has been accepted for publication. As a service to our customers we are providing this early version of the manuscript. The manuscript will undergo copyediting, typesetting, and review of the resulting proof before it is published in its final form. Please note that during the production process errors may be discovered which could affect the content, and all legal disclaimers that apply to the journal pertain. Probing the spatial cluster of Meriones unguiculatus using the nest flea index based on GIS Technology Dafang Zhuang1, Haiwen Du2, Yong Wang1*, Xiaosan Jiang2, Xianming Shi3, Dong Yan3 1 State Key Laboratory of Resources and Environmental Information Systems, Institute of Geographical Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, China. 2 College of Resources and Environmental Science, Nanjing Agricultural University, Nanjing, China. -
Peoples Republic of China: Ningxia Irrigated Agriculture and Water Conservation Demonstration Project
Project Administration Manual Project Number: 44035 Loan Number: Lxxxx-PRC November 2012 Peoples Republic of China: Ningxia Irrigated Agriculture and Water Conservation Demonstration Project ii CONTENTS ABBREVIATIONS v I. PROJECT DESCRIPTION 1 A. Basic Project Description 1 B. Rationale, Location, and Beneficiaries 1 C. Impact and Outcome 4 D. Outputs 4 E. Special Features of the Project 8 II. IMPLEMENTATION PLANS 9 A. Project Readiness Activities 9 B. Overall Project Implementation Plan 10 III. PROJECT MANAGEMENT ARRANGEMENTS 11 A. Project Implementation Organizations—Roles and Responsibilities 11 B. Key Persons Involved in Implementation 13 C. Project Organization Structure 15 IV. COSTS AND FINANCING 16 A. Investment Plan 16 B. Financing Plan 16 C. Allocation of Loan Proceeds by Implementing Agency 17 D. Detailed Cost Estimates by Financier and Expenditure Category 17 E. Detailed Cost Estimates by Outputs ($‘000) 19 F. Detailed Cost Estimates by Year ($‘000) 20 G. Allocation and Withdrawal of Loan Proceeds 20 H. Contract and Disbursement S-Curves 20 I. Onlending Arrangements and Indicative Funds Flow 21 V. FINANCIAL MANAGEMENT 24 A. Financial Management Assessment 24 B. Disbursement 24 C. Accounting 25 D. Auditing 26 E. Reporting 26 iii VI. PROCUREMENT AND CONSULTING SERVICES 26 A. Advance Contracting and Retroactive Financing 26 B. Procurement of Goods, Works, and Consulting Services 27 C. Procurement Plan 28 D. Consultants‘ Terms of Reference 43 VII. SAFEGUARDS 46 A. Environment 46 B. Indigenous Peoples 46 A. Resettlement 46 VIII. GENDER AND SOCIAL DIMENSIONS 49 IX. PERFORMANCE MONITORING, EVALUATION, REPORTING AND COMMUNICATION 59 A. Project Design and Monitoring Framework 59 B. Performance Indicators for Grape Quality: Based on the Agreement of Joint Venture with Moeton–Hennesy 62 C. -
Ningxia Case Study
Contents Chapter1 - General Situation of Ecological Environment and Economic Development in Ningxia 1.1 General Features of Ecological System ··············································· 6 1.2 General Features of Poverty ···························································· 13 1.3 Relation between Poverty and Ecological Environment ···························· 13 Chapter2 - Challenges of Poverty Reduction through Ecological Construction (PREC) in Ningxia 2.1 Frequent Droughts and Water Resource Deficiency ································· 18 2.2 Insufficient Integration of Environmental Factors and Low Function of Eco-system Service ······································································ 19 2.3 Increasing Conflicts between Eco-system Bearing Capacity and Economic-social Development ············································································ 20 2.4 Difficulties in Poverty Reduction through Ecological Construction ············· 21 Chapter3 - Important Measures Poverty Reduction through Ecological Construction and the Achievements in Ningxia 3.1 Optimizing Water Resource Arrangements and Upgrading Water Efficiency ···· 21 3.2 Optimizing the Arrangement of Man-power and Natural Resources ············ 22 3.3 Powerfully Pushing forward the Rehabilitation and Construction of the Beneficial Cycling System of Ecological Environment ········································ 26 3.4 Upgrading the Comprehensive Capacity of Agricultural Production ············ 29 3.5 Improving the Management of Resource ············································ -
Temporal and Spatial Distribution Characteristics in the Natural Plague
Du et al. Infectious Diseases of Poverty (2017) 6:124 DOI 10.1186/s40249-017-0338-7 RESEARCHARTICLE Open Access Temporal and spatial distribution characteristics in the natural plague foci of Chinese Mongolian gerbils based on spatial autocorrelation Hai-Wen Du1,2, Yong Wang1*, Da-Fang Zhuang1 and Xiao-San Jiang2* Abstract Background: The nest flea index of Meriones unguiculatus is a critical indicator for the prevention and control of plague, which can be used not only to detect the spatial and temporal distributions of Meriones unguiculatus, but also to reveal its cluster rule. This research detected the temporal and spatial distribution characteristics of the plague natural foci of Mongolian gerbils by body flea index from 2005 to 2014, in order to predict plague outbreaks. Methods: Global spatial autocorrelation was used to describe the entire spatial distribution pattern of the body flea index in the natural plague foci of typical Chinese Mongolian gerbils. Cluster and outlier analysis and hot spot analysis were also used to detect the intensity of clusters based on geographic information system methods. The quantity of M. unguiculatus nest fleas in the sentinel surveillance sites from 2005 to 2014 and host density data of the study area from 2005 to 2010 used in this study were provided by Chinese Center for Disease Control and Prevention. Results: The epidemic focus regions of the Mongolian gerbils remain the same as the hot spot regions relating to the body flea index. High clustering areas possess a similar pattern as the distribution pattern of the body flea index indicating that the transmission risk of plague is relatively high. -
Minimum Wage Standards in China August 11, 2020
Minimum Wage Standards in China August 11, 2020 Contents Heilongjiang ................................................................................................................................................. 3 Jilin ............................................................................................................................................................... 3 Liaoning ........................................................................................................................................................ 4 Inner Mongolia Autonomous Region ........................................................................................................... 7 Beijing......................................................................................................................................................... 10 Hebei ........................................................................................................................................................... 11 Henan .......................................................................................................................................................... 13 Shandong .................................................................................................................................................... 14 Shanxi ......................................................................................................................................................... 16 Shaanxi ...................................................................................................................................................... -
Resettlement Plan (Draft)
Resettlement Plan (Draft) July 2016 PRC: Ningxia Liupanshan Poverty Reduction Rural Road Development Project Prepared by the Transportation Department of Ningxia Hui Nationality Autonomous Region for the Asian Development Bank. CURRENCY EQUIVALENTS CNY1.00 = US$0.16243 US$1.00 = CNY6.1565 ABBREVIATIONS AAOV – Average Annual Output Value ADB – Asian Development Bank AHs – Affected Households APs – Affected Persons AV – Administrative Village CRO – County Resettlement Office DI – Design Institute DMS – Detailed Measurement Survey FS – Feasibility Study HD – House Demolition JCG – Jingyuan County Government JCPMO – Jingyuan County Project Management Office LA – Land Acquisition LAB – Land and Resources Bureau LAR – Land Acquisition and Resettlement LEF – Land-Expropriated Farmer L&RO – Land & Resources Office MOU – Memorandum of Understanding M&E – Monitoring and Evaluation NDRC – National Development and Reform Commission NHAR TD – Ningxia Hui Autonomous Region Transport Department PADO – Poverty Alleviation and Development office PPTA – Project Preparatory Technical Assistance PRA – Participatory Rural Appraisal PRO – Project Resettlement Office RIB – Resettlement Information Booklet RP – Resettlement Plan SES – Socioeconomic Survey SPS – Safeguard Policy Statement of ADB TRO – Town/township Resettlement Office WEIGHTS AND MEASURES km – kilometer m² – square meter mu – 666.7 m² NOTE In this report, "$" refers to US dollars. This resettlement plan is a document of the borrower. The views expressed herein do not necessarily represent those of ADB's Board of Directors, Management, or staff, and may be preliminary in nature. Your attention is directed to the “terms of use” section of this website. In preparing any country program or strategy, financing any project, or by making any designation of or reference to a particular territory or geographic area in this document, the Asian Development Bank does not intend to make any judgments as to the legal or other status of any territory or area. -
JBIC ODA Loan Project Mid-Term Review 2006 Evaluator
JBIC ODA Loan Project Mid-Term Review 2006 Evaluator: Hiroshi Oita (OPMAC Corporation) Field Survey: January 2007 Project Name: People’s Republic of China, Ningxia Afforestation and Vegetation Cover Project (L/A No. C01-P153) Outline of Loan Agreement Loan Amount / Contract Amount / Disbursed Amount : 7,977 million yen / None / 6,803 million yen (as of the end of January 2007) Loan Agreement : March 2002 (5th year since L/A conclusion) Completion Date (Planned) : December 2009 Final Disbursement Date : July 2009 Executing Agency : Ningxia Hui Autonomous Region Government (Ningxia Agricultural Comprehensive Development Office (NACDO)) Operation & Maintenance Institutions : The farmers themselves maintain the planted trees. Mid-term Review Selection Criteria : NGO/Local government partnership [Project goals] The 12 northern cities and counties of Ningxia Hui Autonomous Region (5 cities, 7 counties, and one irrigated district which is in the process of applying for promotion to county status) is an area with one of the lowest annual precipitation levels in China. Through planting of vegetation (approximately 35,000ha), establishing erosion control shelter forest, and commercial forest (totaling approximately 23,000ha) and development of forestation and vegetation planting facilities in 35 locations in above area, the goal is to contribute to measurable increase in the target area’s ratio of forest and vegetation coverage, and thereby halting the progressive desertification of the target and surrounding regions, while reducing poverty among -
Spatial Distribution of Endemic Fluorosis Caused by Drinking Water in a High-Fluorine Area in Ningxia, China
Environmental Science and Pollution Research https://doi.org/10.1007/s11356-020-08451-7 RESEARCH ARTICLE Spatial distribution of endemic fluorosis caused by drinking water in a high-fluorine area in Ningxia, China Mingji Li1 & Xiangning Qu2 & Hong Miao1 & Shengjin Wen1 & Zhaoyang Hua1 & Zhenghu Ma2 & Zhirun He2 Received: 29 November 2019 /Accepted: 16 March 2020 # Springer-Verlag GmbH Germany, part of Springer Nature 2020 Abstract Endemic fluorosis is widespread in China, especially in the arid and semi-arid areas of northwest China, where endemic fluorosis caused by consumption of drinking water high in fluorine content is very common. We analyzed data on endemic fluorosis collected in Ningxia, a typical high-fluorine area in the north of China. Fluorosis cases were identified in 539 villages in 1981, in 4449 villages in 2010, and in 3269 villages in 2017. These were located in 19 administrative counties. In 2017, a total of 1.07 million individuals suffered from fluorosis in Ningxia, with more children suffering from dental fluorosis and skeletal fluorosis. Among Qingshuihe River basin disease areas, the high incidence of endemic fluorosis is in Yuanzhou District and Xiji County of Guyuan City. The paper holds that the genesis of the high incidence of endemic fluorosis in Qingshui River basin is mainly caused by chemical weathering, evaporation and concentration, and dissolution of fluorine-containing rocks around the basin, which is also closely related to the semi-arid geographical region background, basin structure, groundwater chemical character- istics, and climatic conditions of the basin. The process of mutual recharge and transformation between Qingshui River and shallow groundwater in the basin is intense. -
Resettlement Plan (Draft)
Resettlement Plan (Draft) July 2016 PRC: Ningxia Liupanshan Poverty Reduction Rural Road Development Project Prepared by the Transportation Department of Ningxia Hui Nationality Autonomous Region for the Asian Development Bank. CURRENCY EQUIVALENTS CNY 1.00 = US$0.16243 US$1.00 = CNY 6.1565 ABBREVIATIONS AAOV – Average Annual Output Value ADB – Asian Development Bank AHs – Affected Households APs – Affected Persons AV – Administrative Village CRO – County Resettlement Office DI – Design Institute DMS – Detailed Measurement Survey DRO – District Resettlement Office FS – Feasibility Study HD – House Demolition LA – Land Acquisition LAB – Land and Resources Bureau LAR – Land Acquisition and Resettlement LEF – Land-Expropriated Farmer L&RO – Land & Resources Office M&E – Monitoring and Evaluation MOU – Memorandum of Understanding NDRC – National Development and Reform Commission NHARTD – Ningxia Hui Autonomous Region Transport Department PADO – Poverty Alleviation and Development office PPTA – Project Preparatory Technical Assistance PRA – Participatory Rural Appraisal PRO – Project Resettlement Office RIB – Resettlement Information Booklet RP – Resettlement Plan SES – Socioeconomic Survey SPS – Safeguards Policy Statement of ADB TRO – Town/township Resettlement Office YCG – Yuanzhou District Government YZPMO – Yuanzhou District Project Management Office WEIGHTS AND MEASURES km – kilometer m² – square meter mu – 666.7 m² NOTES (i) In this report, "$" refers to US dollars. (ii) This resettlement plan is a document of the borrower. The views expressed herein do not necessarily represent those of ADB's Board of Directors, Management, or staff, and may be preliminary in nature. Your attention is directed to the “terms of use” section of this website. (iii) In preparing any country program or strategy, financing any project, or by making any designation of or reference to a particular territory or geographic area in this document, the Asian Development Bank does not intend to make any judgments as to the legal or other status of any territory or area.