Spatial Structure of a Potential Ecological Network in Nanping, China, Based on Ecosystem Service Functions
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Identifying a Common Backbone of Interactions Underlying Food Webs from Different Ecosystems
ARTICLE DOI: 10.1038/s41467-018-05056-0 OPEN Identifying a common backbone of interactions underlying food webs from different ecosystems Bernat Bramon Mora1, Dominique Gravel2,3, Luis J. Gilarranz4, Timothée Poisot 2,5 & Daniel B. Stouffer 1 Although the structure of empirical food webs can differ between ecosystems, there is growing evidence of multiple ways in which they also exhibit common topological properties. To reconcile these contrasting observations, we postulate the existence of a backbone of — 1234567890():,; interactions underlying all ecological networks a common substructure within every net- work comprised of species playing similar ecological roles—and a periphery of species whose idiosyncrasies help explain the differences between networks. To test this conjecture, we introduce a new approach to investigate the structural similarity of 411 food webs from multiple environments and biomes. We first find significant differences in the way species in different ecosystems interact with each other. Despite these differences, we then show that there is compelling evidence of a common backbone of interactions underpinning all food webs. We expect that identifying a backbone of interactions will shed light on the rules driving assembly of different ecological communities. 1 Centre for Integrative Ecology, School of Biological Sciences, University of Canterbury, Christchurch 8041, New Zealand. 2 Québec Centre for Biodiversity Sciences, McGill University, Montréal H3A 0G4, Canada. 3 Canada Research Chair on Integrative Ecology, Départment de Biologie, Université de Sherbrooke, Sherbrooke J1K 2R1, Canada. 4 Department of Evolutionary Biology and Environmental Studies, University of Zurich, 8006 Zurich, Switzerland. 5 Département de Sciences Biologiques, Université de Montréal, Montréal H3T 1J4, Canada. -
Limits on Ecosystem Trophic Complexity: Insights from Ecological Network Analysis
Ecology Letters, (2014) 17: 127–136 doi: 10.1111/ele.12216 IDEA AND PERSPECTIVE Limits on ecosystem trophic complexity: insights from ecological network analysis Abstract Robert E. Ulanowicz,1,2* Robert D. Articulating what limits the length of trophic food chains has remained one of the most enduring Holt1 and Michael Barfield1 challenges in ecology. Mere counts of ecosystem species and transfers have not much illumined the issue, in part because magnitudes of trophic transfers vary by orders of magnitude in power- law fashion. We address this issue by creating a suite of measures that extend the basic indexes usually obtained by counting taxa and transfers so as to apply to networks wherein magnitudes vary by orders of magnitude. Application of the extended measures to data on ecosystem trophic networks reveals that the actual complexity of ecosystem webs is far less than usually imagined, because most ecosystem networks consist of a multitude of weak connections dominated by a rel- atively few strong flows. Although quantitative ecosystem networks may consist of hundreds of nodes and thousands of transfers, they nevertheless behave similarly to simpler representations of systems with fewer than 14 nodes or 40 flows. Both theory and empirical data point to an upper bound on the number of effective trophic levels at about 3–4 links. We suggest that several whole-system processes may be at play in generating these ecosystem limits and regularities. Keywords Connectivity, ecosystem roles, food chain length, network complexity, system flexibility, system roles, trophic breadth, trophic depth, window of vitality. Ecology Letters (2014) 17: 127–136 2009); some herbivores (megaherbivores) evolve to sizes AN ENDURING QUESTION IN ECOLOGY: WHAT whereby they largely escape predation, thus truncating the LIMITS FOOD CHAIN LENGTH? food chain. -
Deciphering the Spatial Structures of City Networks in the Economic Zone of the West Side of the Taiwan Strait Through the Lens of Functional and Innovation Networks
sustainability Article Deciphering the Spatial Structures of City Networks in the Economic Zone of the West Side of the Taiwan Strait through the Lens of Functional and Innovation Networks Yan Ma * and Feng Xue School of Architecture and Urban-Rural Planning, Fuzhou University, Fuzhou 350108, Fujian, China; [email protected] * Correspondence: [email protected] Received: 17 April 2019; Accepted: 21 May 2019; Published: 24 May 2019 Abstract: Globalization and the spread of information have made city networks more complex. The existing research on city network structures has usually focused on discussions of regional integration. With the development of interconnections among cities, however, the characterization of city network structures on a regional scale is limited in the ability to capture a network’s complexity. To improve this characterization, this study focused on network structures at both regional and local scales. Through the lens of function and innovation, we characterized the city network structure of the Economic Zone of the West Side of the Taiwan Strait through a social network analysis and a Fast Unfolding Community Detection algorithm. We found a significant imbalance in the innovation cooperation among cities in the region. When considering people flow, a multilevel spatial network structure had taken shape. Among cities with strong centrality, Xiamen, Fuzhou, and Whenzhou had a significant spillover effect, which meant the region was depolarizing. Quanzhou and Ganzhou had a significant siphon effect, which was unsustainable. Generally, urbanization in small and midsize cities was common. These findings provide support for government policy making. Keywords: city network; spatial organization; people flows; innovation network 1. -
Florida's Ecological Network
Green Infrastructure — Linking Lands for Nature and People Case Study Series Florida’s Ecological Network Photo by Jane M. Rohling / USFWS Vision Overview "In the 21st century, Florida has a protected system of The Florida Greenways Commission defined a greenways that is planned and managed to conserve “greenways system” as a “system of native landscapes native landscapes, ecosystems and their species; and and ecosystems that supports native plant and animal to connect people to the land . Florida's diverse species, sustains clean air, water, fisheries, and other wildlife species are able to move . within their natural resources, and maintains the scenic natural ranges with less danger of being killed on roadways or beauty that draws people to visit and settle in Florida.” becoming lost in towns or Greenways follow natural land or water features such cities. Native landscapes as ridges or rivers or human landscape features such and ecosystems are as abandoned railroad corridors or canals. A healthy, protected, managed, and well functioning system of greenways can support restored through strong wildlife communities and provide innumerable benefits public and private to Florida’s people, as well. The Commission saw a partnerships. Sensitive healthy and diverse green infrastructure as the riverine and coastal underlying basis of Florida’s sustainable future. They waterways are effectively identified two components to the statewide greenways protected by buffers of green, open space and working system: the Ecological Network and the Recreational/ landscapes. Florida's rich system of greenways Cultural Network (Figure 1). We focus here on the helps sustain Florida's future by conserving its green Ecological Network. -
Predicting Ecosystem Functions from Biodiversity and Mutualistic Networks: an Extension of Trait-Based Concepts to Plant– Animal Interactions
Ecography 38: 380–392, 2015 doi: 10.1111/ecog.00983 © 2014 Th e Authors. Ecography © 2014 Nordic Society Oikos Subject Editor: Jens-Christian Svenning. Editor-in-Chief: Jens-Christian Svenning. Accepted 24 October 2014 Predicting ecosystem functions from biodiversity and mutualistic networks: an extension of trait-based concepts to plant – animal interactions Matthias Schleuning , Jochen Fr ü nd and Daniel Garc í a Intecol special issue M. Schleuning ([email protected]), Biodiversity and Climate Research Centre (BiK-F) and Senckenberg Gesellschaft f ü r Naturforschung, Senckenberganlage 25, DE-60325 Frankfurt (Main), Germany. – J. Fr ü nd, Dept of Integrative Biology, Univ. of Guelph, ON N1G2W1, Canada. – D. Garc í a, Univ. of Oviedo, Depto Biolog í a de Organismos y Sistemas and Unidad Mixta de Investigaci ó n en Biodiversidad (CSIC-UO-PA), Valent í n Andr é s Á lvarez s/n, ES-33071 Oviedo (Asturias), Spain. Research linking biodiversity and ecosystem functioning (BEF) has been mostly centred on the infl uence of species rich- ness on ecosystem functions in small-scale experiments with single trophic levels. In natural ecosystems, many ecosystem functions are mediated by interactions between plants and animals, such as pollination and seed dispersal by animals, for which BEF relationships are little understood. Largely disconnected from BEF research, network ecology has examined the structural diversity of complex ecological networks of interacting species. Here, we provide an overview of the most impor- tant concepts in BEF and ecological network research and exemplify their applicability to natural ecosystems with examples from pollination and seed-dispersal studies. In a synthesis, we connect the structural approaches of network analysis with the trait-based approaches of BEF research and propose a conceptual trait-based model for understanding BEF relation- ships of plant – animal interactions in natural ecosystems. -
Overview of Network Environ Analysis: a Systems Analysis Technique for Understanding Complex Ecological Systems
Ecodinamica Overview of Network Environ Analysis: A systems analysis technique for understanding complex ecological systems Brian D. Fath 1,2,3 1Biology Department Towson University, Towson, Maryland, USA 2Fulbright Distinguished Chair in Energy and Environment, Parthenope University of Naples, Italy 3Advanced Systems Analysis Program, International Institute for Applied Systems Analysis, Austria Synopsis Network Environ Analysis, based on network theory, Analysis requires data including the intercompart - reveals the quantitative and qualitative relations be - mental flows, compartmental storages, and boundary tween ecological objects interacting with each other input and output flows. Software is available to per - in a system. The primary result from the method pro - form this analysis. This article reviews the theoretical vides input and output “environs”, which are inter - underpinning of the analysis and briefly introduces nal partitions of the objects within system flows. In some the main properties such as indirect effects ra - addition, application of Network Environ Analysis on tio, network homogenization, and network mutual - empirical datasets and ecosystem models has re - ism. References for further reading are provided. vealed several important and unexpected results that have been identified and summarized in the litera - Keywords: Systems ecology, connectivity, energy flows, ture as network environ properties. Network Environ network analysis, indirect effects, mutualism Introduction which is mostly concerned with interrelations of ma - terial, energy and information among system com - Environ Analysis is in a more general class of meth - ponents (Table 1). ods called Ecological Network Analysis (ENA) ENA starts with the assumption that a system can be which uses network theory to study the interactions represented as a network of nodes (compartments, between organisms or populations within their envi - objects, etc.) and the connections between them ronment. -
High People's Court of Fujian Province Civil Judgement
High People's Court of Fujian Province Civil Judgement (2015) Min Min Zhong Zi No.2060 Appellant (defendant of the first instance): Xie Zhijin, Male, DOB: 10/27/1963, Han Chinese, Self-employed, residing in Cangshan District, Fuzhou, Fujian Appellant (defendant of the first instance): Ni Mingxiang, Male, DOB: 03/28/1965, Han Chinese, Farmer, residing in Fuqing, Fujian Appellant (defendant of the first instance): Zheng Shijiang, Male, DOB: 04/04/1966, Han Chinese, Farmer, residing in Fuqing, Fujian Attorney of the three appellants above: Xie Changling, Zhong Yin (Fuzhou) Law Firm. Appellee (plaintiff of the first instance): Friends of Nature Domicile: Room A201, Building 2, No. 12 Yumin Road, Chaoyang District, Beijing Legal Representative: Zhang Hehe, Deputy Director-General Entrusted Agent: Ge Feng, Female, Director of Legal and Policy Affairs, residing in Wuchang District, Wuhan Attorney: Liu Xiang, Golden Diamond Law Firm Appellee (plaintiff of the first instance): Fujian Green Home Environment-friendly Center Domicile: 3H, Buidling B, Hot Spring Park, Yingji Road No. 38, Gulou District, Fuzhou, Fujian Legal Representative: Lin Meiying, Director Attorney: Wu Anxin, Hubei Longzhong Law Firm Defendant of the First Instance: Li Mingshuo, Male, DOB: 12/16/1968, Han Chinese, Farmer, residing in Taishun County, Zhejiang Attorney: Qiu Shuhua, Fujian Quanxin Law Firm Third Party of the First Instance: Yanping District Land Resources Bureau of Nanping Municipal Land Resources Bureau Domicile: Shengli Street No. 182, Yanping District, Nanping, Fujian Legal Representative: Huang Ge, Director-General Attorney: He Jianhua, Fujian Shunning Law Firm Third Party of the First Instance: Yanping District Forestry Bureau of Nanping Municipal Forestry Bureau Domicile: Chaoyang Street No. -
Ecological Network Metrics: Opportunities for Synthesis
University of Vermont ScholarWorks @ UVM College of Arts and Sciences Faculty Publications College of Arts and Sciences 8-1-2017 Ecological network metrics: Opportunities for synthesis Matthew K. Lau Harvard Forest Stuart R. Borrett University of North Carolina Wilmington Benjamin Baiser University of Florida Nicholas J. Gotelli University of Vermont Aaron M. Ellison Harvard Forest Follow this and additional works at: https://scholarworks.uvm.edu/casfac Part of the Climate Commons, Community Health Commons, Human Ecology Commons, Nature and Society Relations Commons, Place and Environment Commons, and the Sustainability Commons Recommended Citation Lau MK, Borrett SR, Baiser B, Gotelli NJ, Ellison AM. Ecological network metrics: opportunities for synthesis. Ecosphere. 2017 Aug;8(8):e01900. This Article is brought to you for free and open access by the College of Arts and Sciences at ScholarWorks @ UVM. It has been accepted for inclusion in College of Arts and Sciences Faculty Publications by an authorized administrator of ScholarWorks @ UVM. For more information, please contact [email protected]. INNOVATIVE VIEWPOINTS Ecological network metrics: opportunities for synthesis 1, 2,3 4 5 MATTHEW K. LAU, STUART R. BORRETT, BENJAMIN BAISER, NICHOLAS J. GOTELLI, 1 AND AARON M. ELLISON 1Harvard Forest, Harvard University, Petersham, Massachusetts 02138 USA 2Department of Biology and Marine Biology, University of North Carolina, Wilmington, North Carolina 28403 USA 3Duke Network Analysis Center, Social Science Research Institute, Duke University, Durham, North Carolina 27708 USA 4Department of Wildlife Ecology and Conservation, University of Florida, Gainesville, Florida 32611 USA 5Department of Biology, University of Vermont, Burlington, Vermont 05405 USA Citation: Lau, M. K., S. -
Social-Ecological Connectivity to Understand Ecosystem Service Provision Across Networks in Urban Landscapes
land Communication Social-Ecological Connectivity to Understand Ecosystem Service Provision across Networks in Urban Landscapes 1,2, , 3, Monika Egerer * y and Elsa Anderson y 1 TUM School of Life Sciences, Technical University of Munich, Hans Carl-von-Carlowitz-Platz 2, 85354 Freising, Germany 2 Department of Ecology, Ecosystem Science/Plant Ecology, Technical University of Berlin, 12165 Berlin, Germany 3 Cary Institute of Ecosystem Studies, Millbrook, NY 12545, USA; [email protected] * Correspondence: [email protected] Shared first authorship. y Received: 31 October 2020; Accepted: 17 December 2020; Published: 18 December 2020 Abstract: Landscape connectivity is a critical component of dynamic processes that link the structure and function of networks at the landscape scale. In the Anthropocene, connectivity across a landscape-scale network is influenced not only by biophysical land use features, but also by characteristics and patterns of the social landscape. This is particularly apparent in urban landscapes, which are highly dynamic in land use and often in social composition. Thus, landscape connectivity, especially in cities, must be thought of in a social-ecological framework. This is relevant when considering ecosystem services—the benefits that people derive from ecological processes and properties. As relevant actors move through a connected landscape-scale network, particular services may “flow” better across space and time. For this special issue on dynamic landscape connectivity, we discuss the concept of social-ecological networks using urban landscapes as a focal system to highlight the importance of social-ecological connectivity to understand dynamic urban landscapes, particularly in regards to the provision of urban ecosystem services. Keywords: social-ecological systems; landscape connectivity; social-ecological networks; urban; coupled human-natural systems 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 -
Fuzhou, Formerly Romanized As Foochow, Is an Old Port City, Marco Polo Visited It. in the 19Th Century, It Exported More Tea Than Any Other Chinese Port
Fuzhou, formerly Romanized as Foochow, is an old port city, Marco Polo visited it. In the 19th century, it exported more tea than any other Chinese port. Today, it is the capital and one of the largest cities in Fujian province, China. Fuzhou locates in southeast coast of China and is divided from Taiwan Island by Taiwan Strait. Its population was 7.15 million inhabitants, of which urban represents 61.95% while rural population consisting 38.08%. Fuzhou is one of the 14 open costal port cities. The city is also the famous overseas Chinese hometown in China. There are as many as 3 million overseas Chinese originally from Fuzhou, distributing in 102 countries and regions of five continents. Besides Mandarin, Fuzhou region has its own language, called Fuzhou Hua (Fuzhou speech) or Mindong (Eastern Min, where "min" is another name for Fujian). Fuzhou has a humid subtropical climate influenced by the East Asian Monsoon; the summers are long, very hot and humid, and the winters are short, mild and dry. In most years, torrential rain occurs during the monsoon in the second half of May. Fuzhou is also liable to typhoons in late summer and early autumn. The monthly 24-hour average temperature ranges from 10.9 °C (51.6 °F) in January to 28.9 °C (84.0 °F) in July, while the annual mean is 19.84 °C (67.7 °F). With monthly percent possible sunshine ranging from 24 percent in March to 54 percent in July, the city receives 1,607 hours of bright sunshine annually. -
Factory Address Country
Factory Address Country Durable Plastic Ltd. Mulgaon, Kaligonj, Gazipur, Dhaka Bangladesh Lhotse (BD) Ltd. Plot No. 60&61, Sector -3, Karnaphuli Export Processing Zone, North Potenga, Chittagong Bangladesh Bengal Plastics Ltd. Yearpur, Zirabo Bazar, Savar, Dhaka Bangladesh ASF Sporting Goods Co., Ltd. Km 38.5, National Road No. 3, Thlork Village, Chonrok Commune, Korng Pisey District, Konrrg Pisey, Kampong Speu Cambodia Ningbo Zhongyuan Alljoy Fishing Tackle Co., Ltd. No. 416 Binhai Road, Hangzhou Bay New Zone, Ningbo, Zhejiang China Ningbo Energy Power Tools Co., Ltd. No. 50 Dongbei Road, Dongqiao Industrial Zone, Haishu District, Ningbo, Zhejiang China Junhe Pumps Holding Co., Ltd. Wanzhong Villiage, Jishigang Town, Haishu District, Ningbo, Zhejiang China Skybest Electric Appliance (Suzhou) Co., Ltd. No. 18 Hua Hong Street, Suzhou Industrial Park, Suzhou, Jiangsu China Zhejiang Safun Industrial Co., Ltd. No. 7 Mingyuannan Road, Economic Development Zone, Yongkang, Zhejiang China Zhejiang Dingxin Arts&Crafts Co., Ltd. No. 21 Linxian Road, Baishuiyang Town, Linhai, Zhejiang China Zhejiang Natural Outdoor Goods Inc. Xiacao Village, Pingqiao Town, Tiantai County, Taizhou, Zhejiang China Guangdong Xinbao Electrical Appliances Holdings Co., Ltd. South Zhenghe Road, Leliu Town, Shunde District, Foshan, Guangdong China Yangzhou Juli Sports Articles Co., Ltd. Fudong Village, Xiaoji Town, Jiangdu District, Yangzhou, Jiangsu China Eyarn Lighting Ltd. Yaying Gang, Shixi Village, Shishan Town, Nanhai District, Foshan, Guangdong China Lipan Gift & Lighting Co., Ltd. No. 2 Guliao Road 3, Science Industrial Zone, Tangxia Town, Dongguan, Guangdong China Zhan Jiang Kang Nian Rubber Product Co., Ltd. No. 85 Middle Shen Chuan Road, Zhanjiang, Guangdong China Ansen Electronics Co. Ning Tau Administrative District, Qiao Tau Zhen, Dongguan, Guangdong China Changshu Tongrun Auto Accessory Co., Ltd.