Mapping the evolution of impervious surfaces to investigate landscape metabolism: An Emergy-GIS monitoring application

Abstract This work investigates landscape metabolism (resource use change, ecosystem services, fragmentation) and urbanization processes over-time (1990–2006) in Campania Region and designs GIS based maps of impervious surfaces, in order to provide a way to assess the environmental worth and quality of lands. More than 5000 ha of newly urbanized areas appeared in the Campania Region during the investigated time period, mainly within the Provinces of Napoli and Caserta. A strict link emerges between expanding impervious surfaces and decreasing environmental quality, assessed through the emergy value of local resources. Emergy, a measure of the biosphere support to ecosystems and human-dominated systems, accounts for the value of natural capital lost or degraded, and consequently indicates the evolution of the investigated area towards a less sustainable state. The 7.76% (about 105,000 ha) of the regional area is presently covered by impervious surfaces, one third of which is concentrated in the Province of Napoli (about 38,000 ha). In order to reverse this trend, appropriate environmental planning and resource management are needed, specially focused to reducing the environmental problems associated with landscape overbuilding, natural capital loss and decreased availability of environmental services.

[1]  A. Frenkel,et al.  Measuring Urban Sprawl: How Can We Deal with It? , 2008 .

[2]  Howard T. Odum,et al.  Environmental Accounting: Emergy and Environmental Decision Making , 1995 .

[3]  D. Gregory,et al.  The Dictionary of Human Geography , 1983 .

[4]  Ian J. Bateman,et al.  Applying Geographical Information Systems (GIS) to Environmental and Resource Economics , 2002 .

[5]  P. Vitousek Beyond Global Warming: Ecology and Global Change , 1994 .

[6]  Bin Chen,et al.  Information indices from ecological network analysis for urban metabolic system , 2010 .

[7]  Roger F. Auch,et al.  Scenarios of land use and land cover change in the conterminous United States: Utilizing the special report on emission scenarios at ecoregional scales , 2012 .

[8]  J. Randolph Environmental Land Use Planning and Management , 2003 .

[9]  Erich Tasser,et al.  SPA-LUCC: Developing land-use/cover scenarios in mountain landscapes , 2012, Ecol. Informatics.

[10]  B. Wilkinson Humans as geologic agents: A deep-time perspective , 2005 .

[11]  Jan Szargut,et al.  Exergy Analysis of Thermal, Chemical, and Metallurgical Processes , 1988 .

[12]  Enrique Ortega,et al.  Wealth, trade and the environment: Carrying capacity, economic performance and wellbeing in Brazil and Italy , 2013 .

[13]  Jan Szargut,et al.  Anthropogenic and natural exergy losses (exergy balance of the Earth’s surface and atmosphere) , 2003 .

[14]  G. Jenks The Data Model Concept in Statistical Mapping , 1967 .

[15]  Taotao Qian,et al.  Changes in Continental Freshwater Discharge from 1948 to 2004 , 2009 .

[16]  E. Lambin,et al.  The emergence of land change science for global environmental change and sustainability , 2007, Proceedings of the National Academy of Sciences.

[17]  C. Arnold,et al.  IMPERVIOUS SURFACE COVERAGE: THE EMERGENCE OF A KEY ENVIRONMENTAL INDICATOR , 1996 .

[18]  G. Foody,et al.  Measuring and modelling biodiversity from space , 2008 .

[19]  R. Ewing Is Los Angeles-Style Sprawl Desirable? , 1997 .

[20]  Mark T. Brown,et al.  Updated evaluation of exergy and emergy driving the geobiosphere: A review and refinement of the emergy baseline , 2010 .

[21]  Sergio Ulgiati,et al.  Energy quality, emergy, and transformity: H.T. Odum’s contributions to quantifying and understanding systems , 2004 .

[22]  Patrizia Ghisellini,et al.  Environmental performance and biophysical constrains of Italian agriculture across time and space scales , 2013 .

[23]  R. Deo,et al.  A continent under stress: interactions, feedbacks and risks associated with impact of modified land cover on Australia's climate , 2009 .

[24]  Amalia Zucaro,et al.  An emergy–GIS approach to the evaluation of renewable resource flows: A case study of Campania Region, Italy , 2014 .

[25]  Peter Nijkamp,et al.  Multidimensional urban sprawl in Europe: A self-organizing map approach , 2011, Comput. Environ. Urban Syst..

[26]  R. B. Jackson,et al.  Global biodiversity scenarios for the year 2100. , 2000, Science.

[27]  J. Janowiak,et al.  The Version 2 Global Precipitation Climatology Project (GPCP) Monthly Precipitation Analysis (1979-Present) , 2003 .

[28]  黄晓燕,et al.  IgG , 2010, Definitions.

[29]  C. L. Archer,et al.  Evaluation of global wind power , 2005 .

[30]  E. Reiter Tropospheric Circulation and Jet Streams , 2007 .