Relevant bibliographies by topics / Ecological footprint

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Ecological footprint'

Author: Grafiati
Published: 4 June 2021
Last updated: 14 March 2023

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Journal articles on the topic "Ecological footprint"

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CAIRD, SALLY, and ROBIN ROY. "HOUSEHOLD ECOLOGICAL FOOTPRINTS — DEMOGRAPHICS AND SUSTAINABILITY." Journal of Environmental Assessment Policy and Management 08, no. 04 (December 2006): 407–29. http://dx.doi.org/10.1142/s1464333206002591.

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How do demographic factors influence the environmental impacts of households? A major two year study used the ecological footprint technique to measure the environmental impacts of over 1000 UK households. Energy and transport were the biggest contributors to the 'footprint' of households. Rural, and adult households and households with few members had significantly larger per capita ecological footprints than urban/suburban households, households with children and households with several members. Although 11% of these UK households could be regarded as environmentally sustainable, the majority would require a reduction of 60% in ecological footprint to achieve a globally sustainable footprint per person. Consideration is given to the policy implications of demographic influences on household ecological footprints, including personal carbon allowances and house planning and design.
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Li, Ying, Ting Ting Guo, and Pan Pan Li. "Evaluation Analysis of Ecological Footprint Model." Applied Mechanics and Materials 99-100 (September 2011): 487–90. http://dx.doi.org/10.4028/www.scientific.net/amm.99-100.487.

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The conception and calculation of ecological footprint model were concluded. On this basis, the key issue of ecological footprint's calculation was proposed. Advantages and disadvantages of ecological footprint model when it applied in ecological assessment was also proposed. This provides references for application of ecological footprint model's assessment methods.
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Rosenberg, J. ""Ecological Footprint"." Science 275, no. 5303 (February 21, 1997): 1049h—1053. http://dx.doi.org/10.1126/science.275.5303.1049h.

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Lee, Yung-Jaan. "Ecological Footprint and Water Footprint of Taipei." Sustainability 11, no. 20 (October 16, 2019): 5714. http://dx.doi.org/10.3390/su11205714.

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Taiwan suffers from many natural disasters and is vulnerable to climate change. A continuous increase in its ecological footprint (EF) would pose numerous threats to the city. Taipei is Taiwan’s most densely populated city. Whether its citizens are consuming more resources because of their high income and high degree of urbanization, thereby burdening the environment, warrants study. In contrast to most top-down EF analyses, in this study, 445 residents were surveyed to calculate their carbon, built-up land and water footprints. Gender, occupation, age, education level, personal annual income and socio-economic background do not influence water footprint or EF. Moreover, an individual’s water footprint is not correlated with his or her EF. The built-up land footprint that is obtained in this bottom-up study is similar to that in Taiwan’s top-down national footprint account. However, the personal carbon footprint found herein is smaller than that in the national footprint account, because this study asked respondents’ only about consumption related to everyday activities. Since Taipei residents have a high income and high daily consumption, the water footprint herein is larger than the top-down water footprint. This bottom-up EF analysis reflects residents’ daily consumption patterns and can be used in future urban decision-making.
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Zakari, Rozana, Samaneh Zolfagharian, Mehdi Nourbakhsh, Rosli Mohammad Zin, and Masoud Gheisari. "Ecological Footprint of Different Nations." International Journal of Engineering and Technology 4, no. 4 (2012): 464–67. http://dx.doi.org/10.7763/ijet.2012.v4.411.

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Jóhannesson, Sigurður E., Jukka Heinonen, and Brynhildur Davíðsdóttir. "Data accuracy in Ecological Footprint’s carbon footprint." Ecological Indicators 111 (April 2020): 105983. http://dx.doi.org/10.1016/j.ecolind.2019.105983.

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Liu, Xiaoman, Jingying Fu, Dong Jiang, Jianwu Luo, Chenxi Sun, Huiming Liu, Ruihong Wen, and Xuefeng Wang. "Improvement of Ecological Footprint Model in National Nature Reserve Based on Net Primary Production (NPP)." Sustainability 11, no. 1 (December 20, 2018): 2. http://dx.doi.org/10.3390/su11010002.

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An increasing number of nature reserves are being invaded by various development and construction activities, such as energy, resources, and transportation facilities. The ecological footprint model, which enables a quantitative assessment of ecological sustainability, can assess whether human consumption at various spatial scales falls within the regenerative capacity of the biosphere. Based on the traditional ecological footprint evaluation model: the Global Agro-Ecological Zone (EF-GAEZ model), this study proposes an improved ecological footprint model based on net primary productivity (EF-NPP model) and its validations. In this study, the status of ecological footprints and the ecological carrying capacities of 319 national nature reserves in 2010 is explored, and the changes in ecological surpluses and ecological deficits from 2000 to 2010 are analyzed. The ecological footprint per capita and the ecological carrying capacity per capita calculated by the two models were mostly consistently at the same level (more than 68%), which indicated that the ecological footprint per capita and the ecological carrying capacity per capita of the two models followed the same rule. The EF-NPP model can reflect the change in the global climate, the degradation of the soil, and the progress of the technology.
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Vallianatos, E. G. "Humanity's Ecological Footprint." Mediterranean Quarterly 17, no. 3 (July 1, 2006): 65–85. http://dx.doi.org/10.1215/10474552-2006-016.

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Yousaf, Hazrat, Azka Amin, Waqar Ameer, and Muhammad Akbar. "Investigating the determinants of ecological and carbon footprints. Evidence from high-income countries." AIMS Energy 10, no. 4 (2022): 831–43. http://dx.doi.org/10.3934/energy.2022037.

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<abstract> <p>High-income countries have experienced rapid economic growth, urbanization, consumption of renewable and non-renewable energy, increased trade dependency, and the attainment and maintenance of higher living standards over the last four decades, while also experiencing an increasing trend in environmental degradation. These experiences have fueled our desire to learn more about the factors that influence the ecological footprint and carbon footprint of high-income countries. The purpose of the present study is to investigate the effects of natural resources, urbanization, GDP per capita, population, and fossil fuels on ecological and carbon footprint for 34 high-income countries over the period 2003–2015. Using the STIRPAT model, the results confirm the environmental Kuznets curve hypothesis in the case of total ecological footprint while the link between economic growth and carbon footprint is in U-shape. In terms of total ecological footprint determinants, population reduction as well as efficient urban design, are viable solutions. The findings support the positive and statistically significant influence of population, urbanization, and fossil fuels on total ecological footprint, as well as the negative impact of ecological efficiency. The findings of the carbon footprint suggest that reduction in coal and oil consumption, as well as increasing the use of gas as a source of energy, are all viable choices to mitigate carbon footprint. Furthermore, increasing ecological efficiency could be a viable policy option for reducing high-income countries' footprints.</p> </abstract>
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He, Cheng Long, Wen Li Liu, Xin Guo Wu, and Wei Luo. "Regional Environmental Capacity Study for Jiaxing City." Advanced Materials Research 610-613 (December 2012): 961–64. http://dx.doi.org/10.4028/www.scientific.net/amr.610-613.961.

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Jiaxing is listed experiment city of the national ecological civilization construction in 2012. Correctly understand and evaluate the supply of resources and environmental carrying capacity is an important prerequisite of ecologically-civilized city construction. The article structures emergy ecological footprint model combination emergy analysis theory and ecological footprints model.It can quantitative analysis environmental carrying capacity of Jiaxing through comparing ecological carrying capacity and the ecological footprint occupancy. By empirical study, in the rapid development of Jiaxing economy at the same time, ecological deficit has happened in the regions of Jiaxing, total deficit is 3.15 times of the urban area. It shows that industrial structure adjusting of Jiaxing is in a very stressful situation. From ecological deficit proportion of five counties and two districts in Jiaxing to see, Pinghu constitutes 37.63% and Haiyan constitutes 24.65%，the sum up of two counties (city) is to 62.28%. They are the priority counties of the industry structure adjustment.
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Dissertations / Theses on the topic "Ecological footprint"

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Tharp, Sean Patrick. "Architecture's ecological footprint." Thesis, Montana State University, 2007. http://etd.lib.montana.edu/etd/2007/tharp/TharpS0507.pdf.

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Chikoti, I. "The ecological footprint." Thesis, Видавництво СумДУ, 2012. http://essuir.sumdu.edu.ua/handle/123456789/26505.

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Johnson, Peter. "Exploring the Ecological Footprint of Tourism in Ontario." Thesis, University of Waterloo, 2003. http://hdl.handle.net/10012/997.

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Once considered a 'green' industry, tourism and its associated ecological impacts are now widely acknowledged. Focus within tourism planning has aimed to reduce the ecological burden placed on a destination area, and move towards a more sustainable tourism industry. This research proposes the use of the Ecological Footprint (EF) as a tool to compare the ecological costs of different types of tourism. The EF shows the relative amount of productive land appropriated by the activities and choices of an individual tourist. The main goal of this study was to analyse and compare the ecological resource use of tourism in Ontario. Surveys were conducted with tourists staying at 9 different types of accommodations throughout Ontario. Additional data were collected from personal interviews with accommodation managers at each location and incorporated into the EF calculation. Four areas of tourism ecological impact were identified; tourists' personal consumption, transportation, activity, and accommodation costs. These four components contributed in varying degrees to each tourist Ecological Footprint, and this variation became the main area of analysis. The findings of this research demonstrated that air travel contributes significantly to the total ecological cost of a particular tourism experience. Comparably, travel by personal car made a much smaller contribution to the tourist EF. Thus, local area tourists who could drive to a destination had a smaller EF than those long-distance domestic and international tourists who flew. Accommodation ecological costs were primarily a factor of the amount of built space available, and total energy usage per guest. Accommodations that had a large number of occupants for a given area and level of energy consumption achieved a scale of efficiency. In this manner, larger, more efficiently constructed accommodations often made smaller contributions to the tourist EF than small-scale, but inefficient accommodations. The main conclusion was that the ecological impacts of tourism can be quantitatively recorded, and that a complete trip view of tourism ecological resource use is necessary. When considering practical applications in the tourism industry, an Ecological Footprint analysis could be used by tourism managers as an evaluative tool to compare the ecological outcome of various construction, programming, and operational changes. For the tourist, the EF can serve as an 'eco-label', to distinguish one type of 'green' tourism from another, creating a more informed consumer. Ultimately, the Ecological Footprint serves one purpose- to demonstrate that less ecologically consumptive tourism choices are possible for both tourists and tourism managers.
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MANCINI, MARIA SERENA. "New methodological insights into Ecological Footprint Accounting: flow vs stock distinction and carbon Footprint revision." Doctoral thesis, Università di Siena, 2017. http://hdl.handle.net/11365/1005536.

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Natural capital is the primary and fundamental pillar allowing humans to thrive on Earth and sustain the functioning of human society and economy. Several ecosystem services (i.e. of the kind of provisioning, regulating, supporting and cultural services) are the tangible benefit to humans and are generated by natural capital in the form of stocks and flows of resources. Fully understanding and evaluating these ecosystem services is thus crucial for tracking the consumption of natural resources and properly managing natural capital. This thesis presents an in-depth analysis of the Ecological Footprint methodology, which is one of the most popular environmental accounting tools able to evaluate ecosystem services from a biophysical perspective. Ecological Footprint is defined as the biologically productive surface required to provide a specific sub-set of ecosystem services humans demand. It is compared with the capacity of existing biologically productive surfaces to produce such ecosystem services (i.e. biocapacity). Despite its growing popularity, Ecological Footprint has been subject to critical views on its rationale, methodology, and policy usefulness. This thesis aims at addressing part of these criticisms, specifically those related to the method’s inability to track depletion of natural capital stocks as well as those concerning a specific component, the carbon Footprint. Since Ecological Footprint is currently a measure of the use of resources and services in their flow dimension, the thesis presents a preliminary analysis of the feasibility of implementing a measure of stock depletion within this methodology. As such, this thesis first provides a comprehensive description of Natural Capital as well as of resources’ stocks and flows and their multiple relationships. Then, Ecological Footprint is explored according to its methodological premises, rationale and unit of measure and conceptually investigated for implementing the distinnction of stock vs flow of resources in the accounting framework. This issue was found to be vast and more complicated than expected; as such the thesis concludes this part by setting up a research agenda with the needed future steps to guide research on this topic. Following this process of refinement and development, the thesis addresses the stock and flow distinction in one specific component of Ecological Footprint, the carbon Footprint. It represents the largest input on the overall result and a review process around its rationale, calculation steps and a key parameter (the Average Forest Carbon Sequestration, AFCS) is performed to increase transparency and accuracy of its accountings. As a consequence of this refinement process, a new AFCS value is provided according to accurate and reproducible dataset on forested surface and average biomass growth in forest. These results represent one of the major changes adopted in 2016 Edition of National Footprint Accounts, the main application of Ecological Footprint accounting at national and world level annually published by Global Footprint Network. As such, new results of carbon Footprint, as well as of total Ecological Footprint, have been tested at geographical level and compared at national level among countries. This analysis highlights the relevant implications of the consumer approach adopted by the Ecological Footprint to assign responsibility of CO2 emissions. Finally, thesis supports the policy relevance of the Ecological Footprint method and its carbon Footprint component in light of the Paris agreement, the treaty stipulated in December 2015 to combat climate change and limit temperature rise below 2°C by 2050. Despite acknowledged limitations and the need to keep improving the methodology of this relatively young accounting tool, Ecological Footprint could still represent a relevant monitoring tool to keep track of resources and help society flourishing within the limit of our planet.
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Janis, Jaclyn A. "Quantifying the ecological footprint of The Ohio State University." Connect to resource, 2007. http://hdl.handle.net/1811/28365.

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Thesis (Honors)--Ohio State University, 2007.
Title from first page of PDF file. Document formatted into pages: contains xii, 30 p.; also includes graphics. Includes bibliographical references (p. 28-29). Available online via Ohio State University's Knowledge Bank.
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Flores, Panizo Maria Luisa. "Ecological footprint analysis for the Hong Kong Special AdministrativeRegion." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2000. http://hub.hku.hk/bib/B3125455X.

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Yu, Sherman, and 余雪雯. "A study of sustainability indicators: Hong Kong's ecological footprint." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2002. http://hub.hku.hk/bib/B31228057.

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Knight, Kyle Walker. "The ecological implications of population aging a cross-national analysis of the ecological footprint /." Pullman, Wash. : Washington State University, 2008. http://www.dissertations.wsu.edu/Thesis/Fall2008/K_Knight_101608.pdf.

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Thesis (M.A. in sociology)--Washington State University, December 2008.
Title from PDF title page (viewed on Dec. 31, 2008). "Department of Sociology." Includes bibliographical references (p. 40-45).
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Cranston, Gemma. "Carbon and ecological footprints for the 21st century." Thesis, University of Bath, 2010. https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.532709.

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Environmental and carbon footprints have recently come to the fore of the media’s, governmental and general public’s attention. They offer an excellent indication of humanity’s demands upon Nature and allow evaluation of ecological deficit by contrasting supply and demand. The ecological debt many nations find themselves in is unsustainable, globally inequitable and adds to the growing effects of climate change. These footprints need to be further investigated, looking at historic and future trends in order to better understand, not only the global overuse of natural capital, but also the imbalance between nation states of the world. The value and limitations of the footprint must be recognised; the footprint alone cannot represent the full anthropogenic impacts upon the Earth. This thesis focuses on developing the definitions of the ecological and carbon footprints, analysing the significant factors that affect their composition. The selected parameters are diverse, ranging from a host of economic, geographic and climatic factors. It is shown that both the carbon and ecological footprints are primarily driven by economic welfare, a result that reflects the consumptive nature and fundamental basis of the footprint. Analysis of the resultant correlating equations, for both the environmental and carbon footprints, highlights the differences between the developing and industrialised world in terms of their profligate or frugal use of Nature’s resources. This concludes the stark contrast between these regions of the globe in terms of their per capita and total footprint values. The disparity between the populous South and the prosperous North is further investigated to the year 2100, with the use of Intergovernmental Panel on Climate Change’s scenarios and adaptation of the correlating ecological footprint equation. Four separate scenarios are adopted, each having different underlying assumptions regarding economic development, demographic transition and environmental awareness for various regions of the world. For all scenarios the Southern regions rapidly increase their levels of total ecological footprint; in contrast the industrialised world maintains a relatively conservative evolution. Although different scenarios suggest contrasting future pathways, the hope of contraction and convergence among global footprint levels is not completely lost. The intensification of carbon emissions from both the affluent North and the majority South are considered with respect to population, economic and energy use trends from 1900 to the end of the twenty-first century. It is overwhelmingly shown that affluence will drive growth in carbon emissions across the world by the end of the century. Global inequality must be reduced; the footprint is utilised to demonstrate the trends in resource misuse and contrast between the ecological debtors and ecological creditors of the world.
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Teixidó, Figueras Jordi Josep. "The international distribution of the ecological footprint: an empirical approach." Doctoral thesis, Universitat Rovira i Virgili, 2013. http://hdl.handle.net/10803/127106.

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La desigualtat internacional en el volum de recursos naturals consumits per part dels diferents països és un aspecte clau en un context internacional on l’escassetat d’aquests recursos es fa cada cop més palesa. En conseqüència, es generen tensions geopolítiques que posen traves a l’objectiu últim d’un desenvolupament sostenible, tant des del punt de vista ecològic com social. La tesi analitza empíricament l’evolució i les causes d’aquesta desigualtat i proposa mesures de política ambiental emmarcades en la governabilitat internacional per la sostenibilitat. Concretament, la tesi té com a principal objectiu l’anàlisi de la distribució internacional de la Petjada Ecològica (PE), com a indicador de consum de recursos naturals. L’anàlisi proposat contribueix a la tradició literària de l’Economia Ecològica que tracta qüestions distributives des de l’enfocament de l’Economia de la Desigualtat. L’anàlisi es justifica des de quatre racons d’aquesta literatura: en primer lloc, considera que l'escenari d'escassetat de recursos exigeix un seguiment minuciós de la distribució d’aquests. En segon lloc, des d’un plantejament normatiu, es defensa la necessitat de perseguir una distribució equitativa dels recursos naturals. En tercer lloc, la governabilitat global per temes ambientals pot millorar considerablement la seva eficàcia si té en compte els patrons de la distribució internacional. Finalment, les teories d'intercanvi ecològic desigual serveixen de paraigües teòric des de l’economia política. La metodologia utilitzada per a l’anàlisi distributiu de la PE és la de l’Economia de la Desigualtat. Aquesta metodologia, àmpliament acceptada en l’anàlisi de la distribució de la renda, s’ha utilitzat de manera més aviat escassa per avaluar qüestions de l’economia ambiental i ecològica. En aquest sentit, la tesi aporta discussions que permeten adaptar aquestes eines empíriques a l’anàlisi de la desigualtat ecològica (en lloc de la merament econòmica). Per tant, a més de les contribucions purament empíriques, la tesi aporta contribucions metodològiques. Addicionalment, la tesi també analitza la distribució internacional de la PE des de l’enfocament de la polarització.
Ecological distribution refers to the social, spatial and temporal asymmetries in the human use of environmental resources and services. This doctoral thesis focusses on empirical analyses of such ecological distribution from an Inequality economics perspective and also makes its primary contribution in this area. We analyse the international distribution of natural resource consumption as measured by the Ecological Footprint (henceforth, EF). Our main contributions represent an assessment of the international distribution of EF by analysing its change over time, as well as its underlying drivers. In the process, some methodological aspects are discussed in order to properly repurpose them from the income inequality viewpoint to that of environmental inequality. Additionally, the inequality approach has been complemented by the polarization approach. The thesis has been orientated towards contributing to the discussion of the range of topics found in the ecological economics literature, which usually have been tackled with different methodologies: firstly, the current scenario of resource scarcity unavoidably demands the monitoring of the distribution issues; secondly, fair consumption natural resources is also driven by the ethical motivation of environmental justice; thirdly, global environmental governance may improve its effectiveness if it considers distributional issues; and finally, the political economy of ecologically unequal exchange may underlie the distribution of natural resources itself. The conclusions drawn from the analyses point towards using the information derived from distributional analyses as an additional tool in order to build a more sustainable and equitable world. On the other hand, the conclusions are framed under a political economy umbrella and so contribute to the discussion of unequal exchange theories and world-system analyses.
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Books on the topic "Ecological footprint"

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Thornbush, Mary J. The Ecological Footprint as a Sustainability Metric. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-62666-2.

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Makant, Harold. The ecological footprint of commuting activity at Vodafone. Oxford: Oxford Brookes University, 2000.

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Rauf, Rafia. Calculating risks: LEAD Pakistan's ecological footprint : a case study. Islamabad: Leadership for Environment and Development, 2010.

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Chambers, N. Ecological footprint analysis: Towards a sustainability indicator for business. London: Certified Accountants Educational Trust for the Association of Chartered Certified Accountants, 2001.

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Humphrey, Sarah. Africa ecological footprint report: Green infrastructure for Africa's security. Gland, Switzerland: WWF International, 2012.

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Wackernagel, Mathis. Our ecological footprint: Reducing human impact on the earth. Gabriola Island, BC: New Society Publishers, 1996.

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Charrington, Emma L. The application of ecological footprint analysis to waste management. Oxford: Oxford Brookes University, 2001.

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Saab, Najib. Arab environment 5: Survival options : ecological footprint of Arab countries. Beirut, Lebanon: Arab Forum for the Environment and Development, 2012.

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Imperial College of Science, Technology and Medicine. and Best Foot Forward, eds. Island state: An ecological footprint analysis of the Isle of Wight. Oxford: Best Foot Forward, 2002.

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Green my home!: 10 steps to lowering energy costs and reducing your carbon footprint. New York, NY: Kaplan Pub., 2008.

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Book chapters on the topic "Ecological footprint"

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Harkiolakis, Nicholas. "Ecological Footprint." In Encyclopedia of Corporate Social Responsibility, 880–85. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-28036-8_380.

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Wilson, Jeffrey. "Ecological Footprint." In Encyclopedia of Quality of Life and Well-Being Research, 1776–79. Dordrecht: Springer Netherlands, 2014. http://dx.doi.org/10.1007/978-94-007-0753-5_3333.

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Gray, N. F. "Ecological Footprint." In Facing Up to Global Warming, 159–76. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-20146-7_7.

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Amrhein, Sebastian, and Dirk Reiser. "Ecological Footprint." In Encyclopedia of Sustainable Management, 1–6. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-02006-4_181-1.

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Morse, Stephen. "Ecological Footprint." In The Rise and Rise of Indicators, 82–101. Abingdon, Oxon; New York, NY: Routledge, 2019.: Routledge, 2019. http://dx.doi.org/10.4324/9781315226675-4.

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Özbaş, Emine Elmaslar, Selda Yiğit Hunce, Hüseyin Kurtuluş Özcan, and Atakan Öngen. "Ecological Footprint Calculation." In Recycling and Reuse Approaches for Better Sustainability, 179–86. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-95888-0_15.

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Unnerstall, Thomas. "The “Ecological Footprint”." In Factfulness Sustainability, 139–53. Berlin, Heidelberg: Springer Berlin Heidelberg, 2022. http://dx.doi.org/10.1007/978-3-662-65558-0_11.

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Xiaowei, Gu, and Xu Kuangdi. "Mine Ecological Footprint." In The ECPH Encyclopedia of Mining and Metallurgy, 1–2. Singapore: Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-19-0740-1_140-1.

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Thornbush, Mary J. "The Ecological Footprint." In SpringerBriefs in Environmental Science, 31–40. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-62666-2_2.

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Chicca, Fabricio, Brenda Vale, and Robert Vale. "Calculating the ecological footprint." In The Environmental Impact of Cities, 23–26. London: Routledge, 2022. http://dx.doi.org/10.4324/9781003045847-3.

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Conference papers on the topic "Ecological footprint"

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Ji, Weizhuo. "Dynamic analysis of ecological footprint and ecological carrying capacity." In 2010 Sixth International Conference on Natural Computation (ICNC). IEEE, 2010. http://dx.doi.org/10.1109/icnc.2010.5582362.

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Chen, H., S. Ise, and M. Taniguchi. "Concept of an ecologically balanced area based on Ecological Footprint." In SUSTAINABLE DEVELOPMENT AND PLANNING 2013. Southampton, UK: WIT Press, 2013. http://dx.doi.org/10.2495/sdp130071.

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Bastianoni, S., A. Galli, V. Niccolucci, and R. M. Pulselli. "The ecological footprint of building construction." In SUSTAINABLE CITY 2006. Southampton, UK: WIT Press, 2006. http://dx.doi.org/10.2495/sc060331.

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He, Weijun, Jun Wu, and Hui Zhang. "Ecological Footprint Analysis:Case of Xiushan County." In 2015 International Conference on Economy, Management and Education Technology. Paris, France: Atlantis Press, 2015. http://dx.doi.org/10.2991/icemet-15.2015.84.

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Yuan, Qing-min, and Mei-lin Chen. "The analysis of ecological footprint of Tianjin." In EM2010). IEEE, 2010. http://dx.doi.org/10.1109/icieem.2010.5645919.

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Ban Xiaomiao, Wen Hongyan, and Song Baohua. "Ecological carrying capacity evaluation of Shijiazhuang city based on ecological footprint." In 2010 2nd International Conference on Information Science and Engineering (ICISE). IEEE, 2010. http://dx.doi.org/10.1109/icise.2010.5690958.

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Yang Fan and Jing Xiuyan. "Research on ecological capacity by ecological footprint model in Guanzhong area." In 2011 International Symposium on Water Resource and Environmental Protection (ISWREP). IEEE, 2011. http://dx.doi.org/10.1109/iswrep.2011.5893385.

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Mao, Zheng-jun, Xiao-hua Yang, Chang-gen Yan, and Wang Xiao-zhong. "Using the ecological footprint model to assess ecological environment impacts of expressway." In 2011 International Conference on Electric Technology and Civil Engineering (ICETCE). IEEE, 2011. http://dx.doi.org/10.1109/icetce.2011.5774320.

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Wu, Qingxiu. "Evaluation Model Of Regional Industrial Ecological Coupling Degree Considering Ecological Footprint Model." In 2019 International Conference on Robots & Intelligent System (ICRIS). IEEE, 2019. http://dx.doi.org/10.1109/icris.2019.00109.

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Li, Xianshi, and Jian Li. "The dynamic analysis on ecological footprint and ecological capacity of Hebei province." In 2013 6th International Conference on Information Management, Innovation Management and Industrial Engineering (ICIII). IEEE, 2013. http://dx.doi.org/10.1109/iciii.2013.6703630.

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Reports on the topic "Ecological footprint"

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Coplen, Amy, Mizner, Jack Harry,, and Norion Ubechel. Baseline ecological footprint of Sandia National Laboratories, New Mexico. Office of Scientific and Technical Information (OSTI), January 2009. http://dx.doi.org/10.2172/1090211.

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van Harn, J., M. A. Dijkslag, and M. M. van Krimpen. Effect of low protein diets supplemented with free amino acids on growth performance, slaughter yield, litter quality, footpad lesions, economical performance and the ecological footprint of male broilers. Wageningen: Wageningen Livestock Research, 2017. http://dx.doi.org/10.18174/416970.

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Boyle, Maxwell, and Elizabeth Rico. Terrestrial vegetation monitoring at Timucuan Ecological and Historic Preserve: 2019 data summary—Version 2.0. National Park Service, February 2022. http://dx.doi.org/10.36967/nrds-2290196.

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Abstract:
The Southeast Coast Network (SECN) conducts long-term terrestrial vegetation monitoring as part of the nationwide Inventory and Monitoring Program of the National Park Service (NPS). The vegetation community vital sign is one of the primary-tier resources identified by SECN park managers, and it is currently conducted on 15 network parks (DeVivo et al. 2008). Monitoring plants and their associated communities over time allows for targeted understanding of ecosystems within the SECN geography, which provides managers information about the degree of change within their parks’ natural vegetation. 2019 marks the first year of conducting this monitoring effort on four SECN parks, including Timucuan Ecological and Historic Preserve (TIMU). A total of 23 vegetation plots were established in the park in May and June. Data collected in each plot include species richness across multiple spatial scales, species-specific cover and constancy, species-specific woody stem seedling/sapling counts and adult tree (greater than 10 centimeters [3.9 inches (in)]) diameter at breast height (DBH), overall tree health, landform, soil, observed disturbance, and woody biomass (i.e., fuel load) estimates. This report summarizes the baseline (year 1) terrestrial vegetation data collected at Timucuan Ecological and Historic Preserve in 2019. Data were stratified across three dominant broadly defined habitats within the park (Coastal Plain Nonalluvial Wetlands, Coastal Plain Open Uplands and Woodlands, and Maritime Upland Forests and Shrublands) and three land parcels (Cedar Point, Theodore Roosevelt, and Thomas Creek). Noteworthy findings include: A total of 157 vascular plant taxa (species or lower) were observed across 23 vegetation plots, including nine species not previously known from the park. Three plots were located in the footprint of the Yellow Bluff Fire, and were sampled only two weeks following the fire event. Muscadine (Muscadinia rotundifolia), cat greenbrier (Smilax glauca), water oak (Quercus nigra), and swamp tupelo (Nyssa biflora) were the most frequently encountered species in Coastal Plain Nonalluvial Wetland habitat; saw palmetto (Serenoa repens), slash pine (Pinus elliottii), and gallberry (Ilex glabra) were the most frequently encountered species in Coastal Plain Open Upland and Woodland habitat; and Darlington oak (Quercus hemisphaerica), Spanish moss (Tillandsia usenoides), and red bay (Persea borbonia) were the most frequently encountered species in Maritime Upland Forests and Shrublands. There were no exotic species of the Florida Exotic Pest Plant Council list of invasive plants (FLEPPC 2020) observed on any of these plots. Both red bay and swamp bay (Persea palustris) were largely absent from the tree stratum in these plots; however, they were present (occasionally in high abundance) in the seedling and sapling strata across all habitat types. Buckthorn bully (Sideroxylon lycioides)—listed as Endangered in the state of Florida by the Florida Department of Agriculture and Consumer Services (FDACS 2020)—was observed in three Maritime Upland Forest and Shrubland plots. The tree strata in each broadly defined habitat were dominated by the following species: Coastal Plain Nonalluvial Wetlands-loblolly bay (Gordonia lasianthus) Coastal Plain Open Uplands and Woodlands-longleaf pine (Pinus palustris) Maritime Upland Forests and Shrublands-oaks (Quercus sp.) Most stems within the tree strata exhibited healthy vigor and only moderate dieback across all habitat types. However, there was a large amount of standing dead trees in plots within Maritime Upland Forests and Shrublands. Downed woody biomass (fuel loads) were highest in the Cedar Point and Thomas Creek land parcels.
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