Integration of land use and land cover inventories for landscape management and planning in Italy

设为首页

收藏本站

网站地图 | English | 公务邮箱

About the library

Background
History
Leadership
Organization

Readers' Guide

Opening Hours
Collections
Help Via Email

Publications

Electronic Information Resources

Integration of land use and land cover inventories for landscape management and planning in Italy

详细信息查看全文

作者：Lorenzo Sallustio ; Michele Munafò…
关键词：Double classification ; Point sampling ; Stratified allocation ; Estimation ; Monitoring
刊名：Environmental Monitoring and Assessment
出版年：2016
出版时间：January 2016
年：2016
卷：188
期：1
全文大小：1,537 KB
参考文献：Anderson, J.R., Hardy, E.E., Roach, J.T., and Witmer, R.E. (1976). A land use and land cover classification system for use with remote sensor data (Geological Survey Professional Paper 964). Washington, United States Government Printing Office. http://www.fws.gov/wetlands/Documents%5CA-Land-Use-and-Land-Cover-Classification-System-for-Use-with-Remote-Sensor-Data.pdf . Accessed 5 June 2015.
Arnold, S., Kosztra, B., Banko, G., Smith, G., Hazeu, G., Bock, M., and Valcarcel-Sanz N. (2013). The EAGLE concept—a vision of a future European Land Monitoring Framework. In: R. Lasaponara, N. Masini, M. Biscione, EARSeL symposium proceedings 2013, “Towards horizon 2020”. http://sia.eionet.europa.eu/EAGLE/Outcomes/EARSeL-Symposium-2013_10_2_EAGLE-concept_Arnold-et-al.pdf . Accessed 22 November 2015.
Barabesi, L., & Franceschi, S. (2011). Sampling properties of spatial total estimators under tessellation stratified designs. Environmetrics, 22(3), 271–278. doi:10.1002/env.1046 .CrossRef
Bonan, G. B. (1997). Effects of land use on the climate of the United States. Climatic Change, 37(3), 449–486. doi:10.1023/A:1005305708775 .CrossRef
Bounoua, L., DeFries, R., Collatz, G. J., Sellers, P., & Khan, H. (2002). Effects of land cover conversion on surface climate. Climatic Change, 52(1-2), 29–64. doi:10.1023/A:1013051420309 .CrossRef
Brovkin, V., Ganopolski, A., Claussen, M., Kubatzki, C., & Petoukhov, V. (1999). Modelling climate response to historical land cover change. Global Ecology and Biogeography, 8(6), 509–517. doi:10.1046/j.1365-2699.1999.00169.x .CrossRef
Comber, A. (2007). The identification of data primitives to separate the concepts and semantics of land. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 34.
Corona, P. (2010). Integration of forest mapping and inventory to support forest management. iForest - Biogeosciences and Forestry, 3(1), 59–64. doi:10.3832/ifor0531-003 .CrossRef
Corona, P., Barbati, A., Tomao, A., Bertani, R., Valentini, R., Marchetti, M., Fattorini, L., & Perugini, L. (2012). Land use inventory as framework for environmental accounting: an application in Italy. iForest - Biogeosciences and Forestry, 5(4), 204–209. doi:10.3832/ifor0625-005 .CrossRef
Corona, P., Fattorini, L., Chirici, G., Valentini, R., & Marchetti, M. (2007). Estimating forest area at the year 1990 by two-phase sampling on historical remotely sensed imagery in Italy. Journal of Forest Research, 1, 8–13.CrossRef
Coulston, J. W., Reams, G. A., Wear, D. N., & Brewer, C. K. (2013). An analysis of forest land use, forest land cover and change at policy-relevant scales. Forestry, 87(2), 267–276. doi:10.1093/forestry/cpt056 .CrossRef
Di Gregorio, A., Jansen, L.J., (2005). Land cover classification system: classification concepts and user manual, software version 2 (Food and Agriculture Organization of the United Nations, Environmental and Natural Resources Series Rome). http://www.fao.org/gtos/doc/ecvs/t09/ecv-t9-landcover-ref25-lccs.pdf . Accessed 5 June 2015.
EEA (2013). GIO land high resolution layers (HRLs)—summary of product specifications. http://land.copernicus.eu/user-corner/technical-library/gio-land-high-resolution-layers-hrls-2013-summary-of-product-specifications . Accessed 5 June 2015.
Ellis, E. C., Goldewijk, K., Siebert, S., Lightman, D., & Ramankutty, N. (2010). Anthropogenic transformation of the biomes, 1700 to 2000. Global Ecology and Biogeography, 19(5), 589–606. doi:10.1111/j.1466-8238.2010.00540.x .
Ellis, E. C., & Ramankutty, N. (2008). Putting people in the map: anthropogenic biomes of the world. Frontiers in Ecology and the Environment, 6(8), 439–447. doi:10.1890/070062 .CrossRef
FAO (2000). On definition of forest and forest change (Forest Resources Assessment Working Paper 33, Rome). www.fao.org/forestry/fo/fra/index.jsp . Accessed 5 June 2015.
Fattorini L. (2014). Design-based methodological advances to support national forest inventories: a review of recent proposals. iForest, 8, 6-11. doi: 10.3832/ifor1239-007
Fattorini, L., Marcheselli, M., & Pisani, C. (2004). Two-phase estimation of coverages with second-phase corrections. Environmetrics, 15(4), 357–368. doi:10.1002/env.647 .CrossRef
Fattorini, L., Marcheselli, M., & Pisani, C. (2006). A three-phase sampling strategy for large-scale multiresource forest inventory. Journal of Agricultural, Biological, and Environmental Statistics, 11(3), 1–21.CrossRef
Feranec, J., Hazeu, G., Christensen, S., & Jaffrain, G. (2007). Corine land cover change detection in Europe (case studies of the Netherlands and Slovakia). Land Use Policy, 24(1), 234–247. doi:10.1016/j.landusepol.2006.02.002 .CrossRef
Folke, C., Jansson, Å., Johan Rockström, J., Olsson, P., Carpenter, S. R., Stuart Chapin, F., III, Crépin, S. C., Daily, A.-S., Danell, G., Ebbesson, K., Elmqvist, J., Galaz, T., Moberg, V., Nilsson, F., Österblom, M., Ostrom, H., Persson, E., Peterson, Å., Polasky, G., Steffen, S., Walker, W., Westley, B., & Chapin, F. S., III. (2011). Reconnecting to the biosphere. Ambio, 40, 719–738. doi:10.1007/s13280-011-0184-y .CrossRef
GCOS (2003). The second report on the adequacy of the global observing system for climate in support of the UNFCCC, GCOS-82 (Secretariat of the World Meteorological Organization: Geneva, Switzerland). https://www.wmo.int/pages/prog/gcos/Publications/gcos-82_2AR.pdf . Accessed 5 June 2015.
Haase, D., Haase, A., & Rink, D. (2014). Conceptualizing the nexus between urban shrinkage and ecosystem services. Landscape and Urban Planning, 132, 159–169. doi:10.1016/j.landurbplan.2014.09.003 .CrossRef
IPCC (International Panel on Climate Change) (2003). Good practice guidance for LULUCF (Land Use, Land Use Change and Forestry) (IPCC National Greenhouse Gas Inventories Program). http://www.ipcc-nggip.iges.or.jp/public/gpglulucf/gpglulucf_contents.html . Accessed 5 June 2015.
ISTAT (2013). Annuario statistico italiano. Capitolo 1 - Ambiente e Territorio (Italian statistical annual report. Chapter 1—Environment and territory), pp. 3-28. http://www.istat.it/it/archivio/107568 . Accessed 5 June 2015.
Jansson, Å. (2013). Reaching for a sustainable, resilient urban future using the lens of ecosystem services. Ecological Economics, 86, 285–291. doi:10.1016/j.ecolecon.2012.06.013 .CrossRef
Kabisch, N., & Haase, D. (2011). Diversifying European agglomerations: evidence of urban population trends for the 21st century. Population, Space and Place, 17, 236–253. doi:10.1002/psp.600 .CrossRef
Kubal, T., Haase, D., Meyer, V., & Scheuer, S. (2009). Integrated urban flood risk assessment—transplanting a multicriteria approach developed for a river basin to a city. Natural Hazards and Earth System Sciences, 9, 1881–1895.CrossRef
Lund, H. G. (2002). When is a forest not a forest? J-For, 100, 21–27.
Marchetti, M., Lasserre, B., Pazzagli, R., and Sallustio, L. (2013). Rural areas and urbanization: analysis of a change. Scienze del territorio, 2, 239-258. doi: http://dx.doi.org/10.13128/Scienze_Territorio-14333
Marchetti, M., Bertani, R., Corona, P., & Valentini, R. (2012). Changes of forest coverage and land uses as assessed by the inventory of land uses in Italy. Forest, 9(4), 170–184. doi:10.3832/efor0696-009 .CrossRef
Martino, L., and Fritz, M. (2008). New insight into land cover and land use in Europe—land use/cover area frame statistical survey: methodology and tools. EUROSTAT—Statistics in focus, 33, 1-8. http://ec.europa.eu/eurostat/documents/3433488/5582088/KS-SF-08-033-EN.PDF/fc262221-5c2e-4dcf-9e7b-0c6731b3f3a4 . Accessed 22 November 2015.
Millennium Ecosystem Assessment (2005). Ecosystems and human well-being: synthesis (a report of the millennium ecosystem assessment). Washington, DC: Island Press. http://www.unep.org/maweb/documents/document.356.aspx.pdf . Accessed 5 June 2015.
Munafò, M., Assennato, F., Congedo, L., Luti, T., Marinosci, I., Monti, G., Riitano, N., Sallustio, L., Strollo, A., Tombolini, I., Marchetti, M. (2015). Il consumo di suolo in Italia. Edizione 2015 (Land take in Italy, 2015 edition). Rome: Rapporti ISPRA 218/2015. http://www.isprambiente.gov.it/files/pubblicazioni/rapporti/Rapporto_218_15.pdf . Accessed 5 June 2015.
Munafò, M., and Tombolini, I. (2014). Il Consumo di suolo in Italia (Land take in Italy, 2014 edition). Rome: Rapporti ISPRA 195/2014. http://www.isprambiente.gov.it/files/pubblicazioni/rapporti/Rapporto_Consumo_di_Suolo_in_Italia_2014.pdf . Accessed 5 June 2015.
Munafò, M., Salvati, L., & Zitti, M. (2013). Estimating soil sealing rate at national level—Italy as a case study. Ecological Indicators, 26, 137–140. doi:10.1016/j.ecolind.2012.11.001 .CrossRef
Plotkin, S. (1987). Property, policy and politics: towards a theory of urban land-use conflict. International Journal of Urban and Regional Research, 11(3), 382–404. doi:10.1111/j.1468-2427.1987.tb00056.x .CrossRef
Pontius, R. G., Shusas, E., & McEachern, M. (2004). Detecting important categorical land changes while accounting for persistence. Agriculture, Ecosystems and Environment, 101(2-3), 251–268. doi:10.1016/j.agee.2003.09.008 .CrossRef
Pulighe, G., Lupia, F., Vanino, S., Altobelli, F., Munafò, M., & Cruciani, S. (2013). Analisi dello stato dell’arte delle fonti informative di uso e copertura del suolo prodotte in Italia (A review on the Italian land use and land cover data). GEOmedia, 2, 32–35.
Ramankutty, N., & Foley, J. A. (1998). Characterizing patterns of global land use: an analysis of global croplands data. Global Biogeochemical Cycles, 12(4), 667–685. doi:10.1029/98GB02512 .CrossRef
Romano, B., & Zullo, F. (2013). Models of urban land use in Europe: assessment tools and criticalities. International Journal of Agricultural and Environmental Information Systems, 4(3), 80–97. doi:10.4018/ijaeis.2013070105 .CrossRef
Sala, O. E. (2000). Global biodiversity scenarios for the year 2100. Science, 287(5459), 1770–1774. doi:10.1126/science.287.5459.1770 .CrossRef
Sallustio, L., Vizzarri, M., & Marchetti, M. (2013). Trasformazioni territoriali recenti ed effetti sugli ecosistemi e sul paesaggio italiano (Recent land use changes and their effects on ecosystems and Italian landscape). Territori, 18, 46–53.
Salvati, L., Munafo, M., Morelli, V. G., & Sabbi, A. (2012). Low-density settlements and land use changes in a Mediterranean urban region. Landscape and Urban Planning, 105(1-2), 43–52. doi:10.1016/j.landurbplan.2011.11.020 .CrossRef
Schirpke, U., Leitinger, G., Tappeiner, U., & Tasser, E. (2012). SPA-LUCC: developing land-use/cover scenarios in mountain landscapes. Ecological Informatics, 12, 68–76. doi:10.1016/j.ecoinf.2012.09.002 .CrossRef
Strohbach, M., Haase, D., & Kabisch, N. (2009). Birds and the city—urban biodiversity, land-use and socioeconomics. Ecology and Society, 14(2), 31.
Strohbach, M. W., Arnold, E., & Haase, D. (2012). The carbon footprint of urban green space—a life cycle approach. Landscape and Urban Planning, 104, 220–229. doi:10.1016/j.landurbplan.2011.10.013 .CrossRef
Turok, I., & Mykhnenko, V. (2007). The trajectories of European cities, 1960–2005. Cities, 24, 165–182. doi:10.1016/j.cities.2007.01.007 .CrossRef
Vizzarri, M., Sallustio, L., Tognetti, R., Paganini, E., Garfì, V., La Mela Veca, D.S., Munafò, M., Santopuoli, G., and Marchetti M. (2015). Adaptive forest governance to face land use change impacts in Italy: a review. Italian Journal of Forest and Mountain Environments, 70(4): 237–256. doi:10.4129/ifm.2015.4.01
作者单位：Lorenzo Sallustio (1)
Michele Munafò (2) (3)
Nicola Riitano (4)
Bruno Lasserre (1)
Lorenzo Fattorini (5)
Marco Marchetti (1)

1. Dipartimento di Bioscienze e Territorio, Università degli Studi del Molise, Contrada Fonte Lappone snc, 86090, Pesche, IS, Italy
2. Italian National Institute for Environmental Protection and Research (ISPRA), Via V. Brancati 48, I-00144, Rome, Italy
3. Department of Civil, Building and Environmental Engineering, Sapienza University of Rome, Via Eudossiana 18, I-00184, Rome, Italy
4. Dipartimento di Architettura e Progetto, Facoltà di Architettura, Università di Roma “Sapienza”, Via Flaminia 359, 00196, Rome, Italy
5. Department of Economic and Statistics, University of Siena, Piazza San Francesco 8, 53100, Siena, Italy
刊物类别：Earth and Environmental Science
刊物主题：Environment
Monitoring, Environmental Analysis and Environmental Ecotoxicology
Ecology
Atmospheric Protection, Air Quality Control and Air Pollution
Environmental Management
出版者：Springer Netherlands
ISSN：1573-2959

文摘

There are both semantic and technical differences between land use (LU) and land cover (LC) measurements. In cartographic approaches, these differences are often neglected, giving rise to a hybrid classification. The aim of this paper is to provide a better understanding and characterization of the two classification schemes using a comparison that allows maximization of the informative power of both. The analysis was carried out in the Molise region (Central Italy) using sample information from the Italian Land Use Inventory (IUTI). The sampling points were classified with a visual interpretation of aerial photographs for both LU and LC in order to estimate surfaces and assess the changes that occurred between 2000 and 2012. The results underscore the polarization of land use and land cover changes resulting from the following: (a) recolonization of natural surfaces, (b) strong dynamisms between the LC classes in the natural and semi-natural domain and (c) urban sprawl on the lower hills and plains. Most of the observed transitions are attributable to decreases in croplands, natural grasslands and pastures, owing to agricultural abandonment. The results demonstrate that a comparison between LU and LC estimates and their changes provides an understanding of the causes of misalignment between the two criteria. Such information may be useful for planning policies in both natural and semi-natural contexts as well as in urban areas.