Applied Ecology and Environmental Research 17(6):13759-13776
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Empirical and Model-Based Estimates of Spatial and Temporal Variations in Net Primary Productivity in Semi-Arid Grasslands of Northern China
RESEARCH ARTICLE Empirical and model-based estimates of spatial and temporal variations in net primary productivity in semi-arid grasslands of Northern China Shengwei Zhang1,2, Rui Zhang1, Tingxi Liu1*, Xin Song3, Mark A. Adams4 1 College of Water Conservancy and Civil Engineering, Inner Mongolia Agricultural University, Hohhot, China, 2 Centre for Carbon, Water and Food, University of Sydney, Sydney, Australia, 3 College of Life Sciences and Oceanography, Shenzhen University, Shenzhen, China, 4 Swinburne University of a1111111111 Technology, Faculty of Science Engineering and Technology, Hawthorn, Victoria, Australia a1111111111 a1111111111 * [email protected] a1111111111 a1111111111 Abstract Spatiotemporal variations in net primary productivity (NPP) reflect the dynamics of water and carbon in the biosphere, and are often closely related to temperature and precipitation. OPEN ACCESS We used the ecosystem model known as the Carnegie-Ames-Stanford Approach (CASA) to Citation: Zhang S, Zhang R, Liu T, Song X, A. Adams M (2017) Empirical and model-based estimate NPP of semiarid grassland in northern China counties between 2001 and 2013. estimates of spatial and temporal variations in net Model estimates were strongly linearly correlated with observed values from different coun- primary productivity in semi-arid grasslands of ties (slope = 0.76 (p < 0.001), intercept = 34.7 (p < 0.01), R2 = 0.67, RMSE = 35 g CÁm-2Á Northern China. PLoS ONE 12(11): e0187678. year-1, bias = -0.11 g CÁm-2Áyear-1). We also quantified inter-annual changes in NPP over https://doi.org/10.1371/journal.pone.0187678 the 13-year study period. NPP varied between 141 and 313 g CÁm-2Áyear-1, with a mean of Editor: Ben Bond-Lamberty, Pacific Northwest 240 g CÁm-2Áyear-1. -
Table of Codes for Each Court of Each Level
Table of Codes for Each Court of Each Level Corresponding Type Chinese Court Region Court Name Administrative Name Code Code Area Supreme People’s Court 最高人民法院 最高法 Higher People's Court of 北京市高级人民 Beijing 京 110000 1 Beijing Municipality 法院 Municipality No. 1 Intermediate People's 北京市第一中级 京 01 2 Court of Beijing Municipality 人民法院 Shijingshan Shijingshan District People’s 北京市石景山区 京 0107 110107 District of Beijing 1 Court of Beijing Municipality 人民法院 Municipality Haidian District of Haidian District People’s 北京市海淀区人 京 0108 110108 Beijing 1 Court of Beijing Municipality 民法院 Municipality Mentougou Mentougou District People’s 北京市门头沟区 京 0109 110109 District of Beijing 1 Court of Beijing Municipality 人民法院 Municipality Changping Changping District People’s 北京市昌平区人 京 0114 110114 District of Beijing 1 Court of Beijing Municipality 民法院 Municipality Yanqing County People’s 延庆县人民法院 京 0229 110229 Yanqing County 1 Court No. 2 Intermediate People's 北京市第二中级 京 02 2 Court of Beijing Municipality 人民法院 Dongcheng Dongcheng District People’s 北京市东城区人 京 0101 110101 District of Beijing 1 Court of Beijing Municipality 民法院 Municipality Xicheng District Xicheng District People’s 北京市西城区人 京 0102 110102 of Beijing 1 Court of Beijing Municipality 民法院 Municipality Fengtai District of Fengtai District People’s 北京市丰台区人 京 0106 110106 Beijing 1 Court of Beijing Municipality 民法院 Municipality 1 Fangshan District Fangshan District People’s 北京市房山区人 京 0111 110111 of Beijing 1 Court of Beijing Municipality 民法院 Municipality Daxing District of Daxing District People’s 北京市大兴区人 京 0115 -
2005 Report on the State of the Environment in China
2005 Report on the State of the Environment in China State Environmental Protection Administration Table of Contents Environment....................................................................................................................................7 Marine Environment ....................................................................................................................35 Atmospheric Environment...........................................................................................................43 Acoustic Environment ..................................................................................................................52 Solid Wastes...................................................................................................................................56 Radiation and Radioactive Environment....................................................................................59 Arable Land/Land Resources ......................................................................................................62 Forests ............................................................................................................................................67 Grassland.......................................................................................................................................70 Biodiversity....................................................................................................................................75 Climate and Natural Disasters.....................................................................................................81 -
China - Provisions of Administration on Border Trade of Small Amount and Foreign Economic and Technical Cooperation of Border Regions, 1996
China - Provisions of Administration on Border Trade of Small Amount and Foreign Economic and Technical Cooperation of Border Regions, 1996 MOFTEC Copyright © 1996 MOFTEC ii Contents Contents Article 16 5 Article 17 5 Chapter 1 - General Provisions 2 Article 1 2 Chapter 3 - Foreign Economic and Technical Coop- eration in Border Regions 6 Article 2 2 Article 18 6 Article 3 2 Article 19 6 Chapter 2 - Border Trade of Small Amount 3 Article 20 6 Article 21 6 Article 4 3 Article 22 7 Article 5 3 Article 23 7 Article 6 3 Article 24 7 Article 7 3 Article 25 7 Article 8 3 Article 26 7 Article 9 4 Article 10 4 Chapter 4 - Supplementary Provisions 9 Article 11 4 Article 27 9 Article 12 4 Article 28 9 Article 13 5 Article 29 9 Article 14 5 Article 30 9 Article 15 5 SiSU Metadata, document information 11 iii Contents 1 Provisions of Administration on Border Trade of Small Amount and Foreign Economic and Technical Cooperation of Border Regions (Promulgated by the Ministry of Foreign Trade Economic Cooperation and the Customs General Administration on March 29, 1996) 1 China - Provisions of Administration on Border Trade of Small Amount and Foreign Economic and Technical Cooperation of Border Regions, 1996 2 Chapter 1 - General Provisions 3 Article 1 4 With a view to strengthening and standardizing the administra- tion on border trade of small amount and foreign economic and technical cooperation of border regions, preserving the normal operating order for border trade of small amount and techni- cal cooperation of border regions, and promoting the healthy and steady development of border trade, the present provisions are formulated according to the Circular of the State Council on Circular of the State Council on Certain Questions of Border Trade. -
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. -
Spatiotemporal Assessment of Ecological Security in a Typical Steppe Ecoregion in Inner Mongolia
Pol. J. Environ. Stud. Vol. 27, No. 4 (2018), 1601-1617 DOI: 10.15244/pjoes/77034 ONLINE PUBLICATION DATE: 2018-02-21 Original Research Spatiotemporal Assessment of Ecological Security in a Typical Steppe Ecoregion in Inner Mongolia Xu Li1, Xiaobing Li1*, Hong Wang1, Meng Zhang1, Fanjie Kong1, Guoqing Li2, Meirong Tian3, Qi Huang1 1State Key Laboratory of Earth Surface Processes and Resource Ecology, Faculty of Geographical Science, Beijing Normal University, Beijing, P.R. China 2Institute of Geography and Planning, Ludong University, Yantai, Shandong, P.R. China 3Nanjing Institute of Environmental Sciences, Ministry of Environmental Protection, Nanjing, P.R. China Received: 15 June 2017 Accepted: 15 September 2017 Abstract Ecological security is the comprehensive characterization of the noosystem’s overall collaborative capacity in relation to human welfare within a whole society. Recent years, however, have witnessed the excessive exploitation of natural resources via anthropogenic activities that have consistently triggered or accelerated ecological deterioration. In addition, an adequate ecological security assessment has yet to be conducted in a steppe ecoregion, especially when considering that the steppe is the major ecoregion category in China. In this study, we selected a typical steppe ecoregion in Inner Mongolia, northern China, as a representative region to conduct a spatiotemporal assessment of ecological security from both global and local perspectives. Along with an evaluation indicator system constituting 25 separate indicators covering three different systems (society, economy, and nature), we applied an improved grey target decision-making method in the initial indicator conversion process. As it pertains to weight determination, we employed a weight calculation method that weighed all indicators synthetically. -
Human Brucellosis Occurrences in Inner Mongolia, China: a Spatio-Temporal Distribution and Ecological Niche Modeling Approach Peng Jia1* and Andrew Joyner2
Jia and Joyner BMC Infectious Diseases (2015) 15:36 DOI 10.1186/s12879-015-0763-9 RESEARCH ARTICLE Open Access Human brucellosis occurrences in inner mongolia, China: a spatio-temporal distribution and ecological niche modeling approach Peng Jia1* and Andrew Joyner2 Abstract Background: Brucellosis is a common zoonotic disease and remains a major burden in both human and domesticated animal populations worldwide. Few geographic studies of human Brucellosis have been conducted, especially in China. Inner Mongolia of China is considered an appropriate area for the study of human Brucellosis due to its provision of a suitable environment for animals most responsible for human Brucellosis outbreaks. Methods: The aggregated numbers of human Brucellosis cases from 1951 to 2005 at the municipality level, and the yearly numbers and incidence rates of human Brucellosis cases from 2006 to 2010 at the county level were collected. Geographic Information Systems (GIS), remote sensing (RS) and ecological niche modeling (ENM) were integrated to study the distribution of human Brucellosis cases over 1951–2010. Results: Results indicate that areas of central and eastern Inner Mongolia provide a long-term suitable environment where human Brucellosis outbreaks have occurred and can be expected to persist. Other areas of northeast China and central Mongolia also contain similar environments. Conclusions: This study is the first to combine advanced spatial statistical analysis with environmental modeling techniques when examining human Brucellosis outbreaks and will help to inform decision-making in the field of public health. Keywords: Brucellosis, Geographic information systems, Remote sensing technology, Ecological niche modeling, Spatial analysis, Inner Mongolia, China, Mongolia Background through the consumption of unpasteurized dairy products Brucellosis, a common zoonotic disease also referred to [4]. -
CHINA COUNTRY of ORIGIN INFORMATION (COI) REPORT COI Service
CHINA COUNTRY OF ORIGIN INFORMATION (COI) REPORT COI Service 12 October 2012 CHINA 12 OCTOBER 2012 Contents Preface REPORTS ON CHINA PUBLISHED OR ACCESSED BETWEEN 24 SEPTEMBER 10 OCTOBER 2012 Paragraphs Background Information 1. GEOGRAPHY ............................................................................................................ 1.01 Map ........................................................................................................................ 1.05 Infrastructure ........................................................................................................ 1.06 Languages ........................................................................................................... 1.07 Population ............................................................................................................. 1.08 Naming conventions ........................................................................................... 1.10 Public holidays ................................................................................................... 1.12 2. ECONOMY ................................................................................................................ 2.01 Poverty .................................................................................................................. 2.03 Currency ................................................................................................................ 2.05 3. HISTORY ................................................................................................................. -
China - Provisions of Administration on Border Trade of Small Amount and Foreign Economic and Technical Cooperation of Border Regions, 1996
China - Provisions of Administration on Border Trade of Small Amount and Foreign Economic and Technical Cooperation of Border Regions, 1996 MOFTEC copy @ lexmercatoria.org Copyright © 1996 MOFTEC SiSU lexmercatoria.org ii Contents Contents Provisions of Administration on Border Trade of Small Amount and Foreign Eco- nomic and Technical Cooperation of Border Regions (Promulgated by the Ministry of Foreign Trade Economic Cooperation and the Customs General Administration on March 29, 1996) 1 Chapter 1 - General Provisions 1 Article 1 ......................................... 1 Article 2 ......................................... 1 Article 3 ......................................... 1 Chapter 2 - Border Trade of Small Amount 1 Article 4 ......................................... 1 Article 5 ......................................... 2 Article 6 ......................................... 2 Article 7 ......................................... 2 Article 8 ......................................... 3 Article 9 ......................................... 3 Article 10 ........................................ 3 Article 11 ........................................ 3 Article 12 ........................................ 4 Article 13 ........................................ 4 Article 14 ........................................ 4 Article 15 ........................................ 4 Article 16 ........................................ 5 Article 17 ........................................ 5 Chapter 3 - Foreign Economic and Technical Cooperation in Border Regions -
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 ...................................................................................................................................................... -
Net Primary Productivity Loss Under Different Drought Levels in Different Grassland Ecosystems
Journal of Environmental Management 274 (2020) 111144 Contents lists available at ScienceDirect Journal of Environmental Management journal homepage: http://www.elsevier.com/locate/jenvman Research article Net Primary Productivity Loss under different drought levels in different grassland ecosystems Tianjie Lei a,b, Jie Feng a,b, Juan Lv a,b, Jiabao Wang a,b,*, Hongquan Song c,**, Wenlong Song a,b, Xiaofeng Gao d a State Key Laboratory of Simulation and Regulation of Water Cycle in River Basin, Beijing, 100038, China b China Institute of Water Resources and Hydropower Research (IWHR), Beijing, 100038, China c Key Laboratory of Geospatial Technology for the Middle and Lower Yellow River Regions, Ministry of Education, Henan University, Kaifeng, Henan, 475004, China d School of Civil Engineering, Qingdao University of Technology, Qingdao, 266033, China ARTICLE INFO ABSTRACT Keywords: Drought is one of the most prominent natural threats to grassland productivity, although the magnitude of this Drought threat is uncertain due to the different drought-levels. However, drought-productivity dynamics has not yet SPI received much attention. It is necessary to establish the method to evaluate quantitatively the effect of different Biome-BGC drought-levels on grassland productivity. To better understand the impact of different drought-levels on pro Grassland productivity ductivity dynamics, an assessment method to assess the quantitative effects of different drought-levels on NPP loss grassland productivity was proposed based-on long-term observation data, standardized precipitation index (SPI) and Biome-BGC process model. Based-on assessment indicator of net primary productivity (NPP), NPP loss caused by moderate, severe and extreme drought was dramatically different in grasslands with a significant exponential change with gradient of different drought-levels.