Abstract
With the beginning “urban millennium” (UNESA 2007), our interest in the societal, economic, and ecological functioning of urban systems is rapidly increasing (Pickett et al. 2001). Half of the world’s population inhabits cities, with an increasing share of megacity dwellers or people living in mega-urban regions (Kraas 2007). Urban agglomerations steer processes from the local to the global level and urban ecological science needs to develop a deeper understanding of how matter and energy flows driven by urban ecosystems function across scales (Grimm et al. 2008; Kaye et al. 2006). While a city’s physical footprint is limited, the ecological footprint of our increasingly urbanized world is rapidly expanding. Urban agglomerations are estimated to extend on an ecological footprint of up to 200–300 times their actual physical size (Folke et al. 1997). The sustainable provision of urban ecosystem services and maintaining urban biodiversity is hence closely connected to mitigating effects of imbalanced rapid urbanization (McGranahan and Satterthwaite 2003). Accordingly, urban ecology is becoming more prominent and will determine how sustainable future cities will develop from an environmental perspective. There is an urgent need for in-depth process understanding and a more profound knowledge of land use decisions that drive the urban structure and thereby heavily impact the urban environment and the provision of ecosystem services. Actually, urban regions offer the most intense interaction of humans with ecosystems and thereby a wealth of opportunities to gain a deeper understanding of related land use processes and impacts on urban ecosystem services. However, urban ecology is intrinsically complex; it exhibits many different research facets and an overarching theory is still to be developed. A methodologically sound basis is mandatory to lay the foundation of such theoretical frameworks and to provide input for model-based research to test hypotheses in urban ecology and land use change (LUC) impacts on urban ecosystem services (Alberti 2005; Pickett et al. 2008).
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References
Alberti, M. (2005). The effects of urban patterns on ecosystem function. International Regional Science Review, 28, 168-192
Barredo, J.I., Kasanko, M., McCormick, N., & Lavalle, C. (2003). Modelling dynamic spatial processes: simulation of urban future scenarios through cellular automata. Landscape and Urban Planning, 64, 145-160
Batty, M. (2003). Agents, Cells and Cities: New Representational Models for Simulating Multi-Scale Urban Dynamics. In CASA (Ed.), WORKING PAPERS SERIES, paper 65. London, England
Batty, M. (2007). Cities and Complexity. Cambridge London: MIT Press
Benton-Short, L. & Rennie-Short, J. (2008): Cities and Nature. London.
Berlin Department of Economy Technology and Women (2010). Development of GDP and economic sectors. In. Berlin: Senatsverwaltung für Wirtschaft, Technologie und Frauen
Berlin Department of Urban Development, Senatsverwaltung für Stadtentwicklung Berlin (2009): Digitaler Umweltaltlas Berlin. http://www.stadtentwicklung.berlin.de/umwelt/umweltatlas/
Bolund, P., & Hunhammar, S. (1999). Ecosystem services in urban areas. Ecological Economics, 29, 293-301
Bousquet, F., & Le Page, C. (2004). Multi-agent simulations and ecosystem management: a review. Ecological Modelling, 176, 312-332
Brandenburg State Office for Environment, (2010). Biotop map Brandenburg. In: Landesamt für Umwelt, Gesundheit und Verbraucherschutz (LUGV)
Buzar, S., Ogden, P., Hall, R., Haase, A., Kabisch, S., & Steinführer, A. (2007). Splintering urban populations: emergent landscapes of reurbanisation in four European cities. Urban Studies, 44, 5-6
Cadenasso, M.L., Pickett, S.T.A., & Grove, J.M. (2006a). Dimensions of ecosystem complexity: Heterogeneity, connectivity, and history. Ecological Complexity, 3, 1-12
Cadenasso, M.L., Pickett, S.T.A., & Grove, J.M. (2006b). Integrative approaches to investigating human-natural systems: The Baltimore ecosystem study. Natures Sciences Sociétés, 14, 4-14
Cadenasso, M.L., Pickett, S.T.A., & Schwarz, K. (2007). Spatial heterogeneity in urban ecosystems: Reconceptualizing land cover and a framework for classification. Frontiers in Ecology and the Environment, 5, 80-88
Canty, M. (2010). Image Analysis, Classification and Change Detection in Remote Sensing, with Algorithms for ENVI/IDL, Second Revised Edition. Taylor & Francis, CRC Press 2010.
Cohen, W.B., & Goward, S.N. (2004). Landsat's role in ecological applications of remote sensing. Bioscience, 54, 535-545
Costanza, R., & Voinov, E. (2004). Landscape Simulation Modeling: A Spatially Explicit, Dynamic Approach. New York: Springer
Dalai-Clayton, B., & B. Sadler (2005). Strategic Environmental Assessment: A Sourcebook and Reference Guide to International Experience, Earthscan Pub., London, U.K.
Damm, A. (2009). Hyperspektrale Fernerkundung zur Ableitung pflanzenphysiologischer Parameter von Stadtbäumen – Strahlungstransfermodellierung für Berliner Kastanienbestände. Geomatics Series (ed. P. Hostert), 3, Berlin, Germany.
De Man, W.H.E. (2006). Understanding SDI; Complexity and institutionalization. IJGIS, 20, 329-343
Dhawan, R. (2005). System dynamics and its impact on managerial decision making. In U.O. Sydney (Ed.), Special Integration Group on Systems Applications in Business and Industry, Saturday, July 2, 2005, at the 49th Annual Meeting of the International Society for the Systems Sciences. Westin, Mexico
Engelen, G., White, R., & Uljee, I. (1997). Integrating Constrained Cellular Automata Models, GIS and Decision Support Tools for Urban Planning and Policy Making. In H.P.J. Timmermans (Ed.), Decision Support Systems in Urban Planning (pp. 125-155). London: E&FN Spon
Eurimage (2007). LANDSAT, decades of continuous medium-resolution data. http://www.eurimage.com/products/docs/landsat.pdf
Eurimage. (2009). "QUICKBIRD, the world’s highest resolution commercial satellite. http://www.eurimage.com/products/docs/quickbird.pdf.
Fang, S., Gertner, G.Z., Sun, Z., & Anderson, A.A. (2005). The impact of interactions in spatial simulation of the dynamics of urban sprawl. Landscape and Urban Planning, 73, 294-306
Folke, C., Jansson, A., Larsson, J., & Costanza, R. (1997). Ecosystem appropriation by cities. Ambio, 26, 167-172
Forrester, J.W. (1969). Urban Dynamics. In: Cambridge, MA: MIT Press
Gamba, P., & Chanussot, J. (2008). Foreword to the special issue on data fusion. IEEE Transactions on Geoscience and Remote Sensing, 46, 1283-1288
Gamba, P., Benediktsson, J.A., & Wilkinson, G. (2003). Foreword to the special issue on urban remote sensing by satellite. IEEE Transactions on Geoscience and Remote Sensing, 41, 1903-1906
Gluch, R., Quattrochi, D.A., & Luvall, J.C. (2006). A multi-scale approach to urban thermal analysis. Remote Sensing of Environment, 104, 123-132
Griffiths, P., Hostert, P., Gruebner, O., & Linden, S.V.D. (2009). Mapping megacity growth with multi-sensor data. Remote Sensing of Environment, 114, 426-439
Grimm, N.B., Faeth, S.H., Golubiewski, N.E., Redman, C.L., Wu, J.G., Bai, X.M., & Briggs, J.M. (2008). Global change and the ecology of cities. Science, 319, 756-760
Grimm, N.B., Grove, J.M., Pickett, S.T.A., & Redman, C.L. (2000). Integrated approaches to long-term studies of urban ecological systems. Bioscience, 50, 571-584
Haag, L., Coenradie, B., Kleinschmit, B., Hostert, P., Damm, A., Goedecke, M., Schneider, T., (2008). Hybrides Kartierungsverfahren der Bodenversiegelung im urbanen Raum – das Ergebnis für Berlin. In: Zeitschrift Bodenschutz, 13. Jahrgang, Heft Nr. 3, 2008, S. 82-87
Haase, D., & Schwarz, N. (2009). Simulation models on human-nature interactions in urban landscapes – a review including system dynamics, cellular automata and agent-based approaches. Living Reviews in Landscape Research, 3, 2
Haase, D., Lautenbach, S., & Seppelt, R. (2010). Modeling and simulating residential mobility in a shrinking city using an agent-based approach. Environmental Modelling & Software, 25, 1225-1240
He, C., Okada, N., Zhang, Q., Shi, P., & Li, J. (2008). Modelling dynamic urban expansion processes incorporating a potential model with cellular automata. Landscape and Urban Planning, 86, 79-91
Henniges, Y., & Chmielewski, F.-M. (2007). Stadt-Umland-Gradienten phänologischer Phasen im Raum Berlin 2006. Berlin: Bibliothek der Berlin-Brandenburgischen Akademie der Wissenschaften
Herold, M., Goldstein, N.C., & Clarke, K.C. (2003). The spatiotemporal form of urban growth: Measurement, analysis and modeling. Remote Sensing of Environment, 86, 286-302
Hobbie, J.E., Carpenter, S.R., Grimm, N.B., Gosz, J.R., & Seastedt, T.R. (2003). The US long term ecological research program. Bioscience, 53, 21-32
Hostert, P. (2007). Advanced Approaches in Urban Remote Sensing - Examples from Berlin. In W. Stefanov, M. Netzband & C. Redman (Eds.), Applied Remote Sensing for Urban Planning, Governance and Sustainability: Springer Academic
Hostert, P., Swayne, F., Cohen, W.B., & Chipman, J. (2010). The Role of Remote Sensing in LTER Projects. In F. Müller, C. Baessler, H. Schubert & S. Klotz (Eds.), Long-Term Ecological Research (pp. 131-142). Dordrecht: Springer Netherlands
Hung, T., Uchihama, D., Ochi, S., & Yasuoka, Y. (2006). Assessment with satellite data of the urban heat island effects in Asian mega cities. International Journal of Applied Earth Observation and Geoinformation, 8, 34-48
Hyyppä, J., Pyysalo, U., & Samberg, A. (2000). Elevation Accuracy of Laser Scanning-Derived Digital Terrain and Target Models in Forest Environment. In EARSeL-SIG-Workshop LIDAR (pp. 139-147). Dresden
Jones, C. et al. (2005), Strategic Environmental Assessment and Land Use Planning: An International Evaluation, London: Earthscan
Jürgerns, C., & Rashed, T. (Eds.) (2010). Remote Sensing of Urban and Suburban Areas. Berlin: Springer Academic
Kaa, D.V.D. (2004). Is the second demographic transition a useful research concept? Vienna Yearbook of Population Research, 2004
Kabisch, S. (2005). Empirical analysis on housing vacancy and urban shrinkage. In D.U. Vestbro, Y. Hürol & N. Wilkinson (Eds.), Methodologies in Housing Research (pp. 188-205). Gateshead
Kasanko, M., Barredo, J.I., Lavalle, C., McCormick, N., Demicheli, L., Sagris, V., & Brezger, A. (2006). Are European cities becoming dispersed? A comparative analysis of 15 European urban areas. Landscape and Urban Planning, 77, 111-130
Kaufmann, R.K., Seto, K.C., Schneider, A., Liu, Z.T., Zhou, L.M., & Wang, W.L. (2007). Climate response to rapid urban growth: Evidence of a human-induced precipitation deficit. Journal of Climate, 20, 2299-2306
Kaye, J.P., Groffman, P.M., Grimm, N.B., Baker, L.A., & Pouyat, R.V. (2006). A distinct urban biogeochemistry? Trends in Ecology & Evolution, 21, 192-199
Koomen, E., & Stillwell, J. (2007). Modelling land-use change. In E. Koomen, J. Stillwell, A. Bakema & H. Scholten (Eds.), Modelling Land-use Change (pp. 1-24). Dordrecht
Kraas, F. (2007). Megacities and global change: Key priorities. Geographical Journal, 173, 79-82
Lakes, T., & Pobloth, S. (2005). The evolution of approaches to create urban habitat networks – a case study in Berlin. Die Erde, 136, 23-33
Lakes, T., Mueller, D., & Krueger, C. (2009). Cropland change in southern Romania: a comparison of logistic regressions and artificial neural networks. Landscape Ecology, 1195-1206
Lauf, S., Haase, D., Seppelt, R., & Schwarz, N. (accepted). Simulating demography and housing demand in an urban region under scenarios of growth and shrinkage. Environment and Planning B: Planning and Design
Loibl, W., & Toetzer, T. (2003). Modeling growth and densification processes in suburban regions-simulation of landscape transition with spatial agents. Environmental Modelling & Software, 18, 553-563
Loibl, W., Tötzer, T., Köstl, M., & Steinnocher, K. (2007). Simulation of poycentric urban growth through agents. In E. Koomen, J. Stillwell, A. Bakema & H. Scholten (Eds.), Modelling Land-use Change (pp. 219–236). Dordrecht.
Lowry, I.S. (1964). A Model of Metropolis. Santa Monica. CA. The RAND Corporation, 136
McGranahan, G., & Satterthwaite, D. (2003). Urban centers: An assessment of sustainability. Annual Review of Environment and Resources, 28, 243-274
Mimet, A., Pellissier, V., Quenol, H., Aguejdad, R., Dubreuil, V., & Roze, F. (2009). Urbanisation induces early flowering: evidence from Platanus acerifolia and Prunus cerasus. International Journal of Biometeorology, 53, 287-298
Morin, X., Lechowicz, M.J., Augspurger, C., O'Keefe, J., Viner, D., & Chuine, I. (2009). Leaf phenology in 22 North American tree species during the 21st century. Global Change Biology, 15, 961-975
Netzband, M., Redman, C.L., & Stefanov, W.L. (Eds.) (2007). Applied Remote Sensing for Urban Planning, Governance and Sustainability. Berlin: Springer Academic
Nilsson, J.Å., & Källander, H. (2006). Leafing phenology and timing of egg laying in great tits Parus major and blue tits P. caeruleus. Journal of Avian Biology, 37, 357-363
Oberndorfer, E., Lundholm, J., Bass, B., Coffman, R.R., Doshi, H., Dunnett, N., Gaffin, S., Kohler, M., Liu, K.K.Y., & Rowe, B. (2007). Green roofs as urban ecosystems: Ecological structures, functions, and services. Bioscience, 57, 823-833
Phinn, S., Stanford, M., Scarth, P., Murray, A.T., & Shyy, P.T. (2002). Monitoring the composition of urban environments based on the vegetation-impervious surface-soil (VIS) model by subpixel analysis techniques. International Journal of Remote Sensing, 23, 4131-4153
Pickett, S. T. A. & Cadenasso, M. L. (2008): Linking ecological and built components of urban mosaics: an open cycle of ecological design. Journal of Ecology 96, 8-12.
Pickett, S.T.A., Cadenasso, M.L., Grove, J.M., Groffman, P.M., Band, L.E., Boone, C.G., Burch, W.R., Grimmond, C.S.B., Hom, J., Jenkins, J.C., Law, N.L., Nilon, C.H., Pouyat, R.V., Szlavecz, K., Warren, P.S., & Wilson, M.A. (2008). Beyond urban legends: An emerging framework of urban ecology, as illustrated by the Baltimore ecosystem study. Bioscience, 58, 139-150
Pickett, S.T.A., Cadenasso, M.L., Grove, J.M., Nilon, C.H., Pouyat, R.V., Zipperer, W.C., & Costanza, R. (2001). Urban ecological systems: Linking terrestrial ecological, physical, and socioeconomic components of metropolitan areas. Annual Review of Ecology and Systematics, 32, 127-157
Pijanowski, B.C., Alexandridis, K.T., & Müller, D. (2006). Modelling urbanization patterns in two diverse regions of the world. Journal of Land Use Science, 1, 83-108
Rapid Eye (2010): The RapidEye System. http://www.rapideye.de/home/system/index.html
Regional Planning Department Berlin Brandenburg (2010). Master plans, zoning plans, infrastructure data. In: Gemeinsame Landesplanung Berlin Brandenburg (GL)
Richards, J.A., & Jia, X. (1999). Remote Sensing Digital Image Analysis: An Introduction. New York: Springer
Ridd, M.K. (1995). Exploring a V-I-S (vegetation-impervious surface-soil) model for urban ecosystem analysis through remote-sensing – Comparative anatomy for cities. International Journal of Remote Sensing, 16, 2165-2185
Riks (2007). Metronamica, Model description. Maastricht: Research Institute for Knowledge Systems
Rutledge, D.T., Cameron, M., Elliott, S., Fenton, T., Huser, B., McBride, G., McDonald, G., O’Connor, M., Phyn, D., Poot, J., Price, R., Scrimgeour, F., Small, B., Tait, A., Van Delden, H., Wedderburn, M.E., & Woods, R.A. (2008). Choosing regional futures: challenges and choices in building integrated models to support long-term regional planning in New Zealand. Regional Science Policy & Practice, 1, 85-108
Schneider, A., Seto, K.C., & Webster, D.R. (2005). Urban growth in Chengdu, Western China: application of remote sensing to assess planning and policy outcomes. Environment and Planning B-Planning & Design, 32, 323-345
Schneider, T., Goedecke, M., & Lakes, T. (2007). Berlin Urban and Environmental Information System: Application of Remote Sensing for Planning and Governance. In W. Stefanov, M. Netzband & C. Redman (Eds.), Applied Remote Sensing for Urban Planning, Governance and Sustainability (pp. 199-219): Springer
Schwartz, M.D. (2003). Phenology: An integrative environmental science. Dordrecht: Kluwer Academic Publication
Seppelt, R. (2003). Computer-based Environmental Management. Weinheim: Wiley-VCH Verlag GmbH & Co. KG
Seto, K. C. (2009): Global Urban Issues. In: Global Mapping of Human Settlement. London.
Seto, K.C., Fleishman, E., Fay, J.P., & Betrus, C.J. (2004). Linking spatial patterns of bird and butterfly species richness with Landsat TM derived NDVI. International Journal of Remote Sensing, 25, 4309-4324
SOBB (1991-2008). Municipal Statistics and Census. In: SOBB (Statistical Office Berlin Brandenburg)
Spatial Data Infrastructure Berlin, Geodateninfrastruktur Berlin, http://gdi.berlin-brandenburg.de
Statistical Office Berlin Brandenburg (2010). Municipal Statistics and Census. In: Amt für Statistik Berlin Brandenburg
Sterman, J.D. (2000). Business Dynamics: Systems Thinking and Modeling for a Complex World. Boston: Irwin/McGraw-Hill
Teillet, P.M., Guindon, B., & Goodenough, D.G. (1982). On the slope-aspect correction of multispectral scanner data. Canadian Journal of Remote Sensing, 8, 84-106
Ti-yan, S., Wei-dong, W., Min, H., Zhao-cheng, G., Ling, X., & Kai-zhong, Y. (2007). Study on spatio-temporal system dynamic models of urban growth. Systems Engineering – Theory & Practice, 27, 10-17
Tobler, W. (1979). Cellular Geography. In S. Gale & G. Ollson (Eds.), Philosophy in Geography. Dordrecht, Kluwer
Tooke, T.R., Coops, N.C., Goodwin, N.R., & Voogt, J.A. (2009). Extracting urban vegetation characteristics using spectral mixture analysis and decision tree classifications. Remote Sensing of Environment, 113, 398-407
Troy, A.R., Grove, J.M., O'Neil-Dunne, J.P.M., Pickett, S.T.A., & Cadenasso, M.L. (2007). Predicting opportunities for greening and patterns of vegetation on private urban lands. Environmental Management, 40, 394-412
UNESA (2007). World Population Prospects: The 2006 Revision. In: United Nations
Valbuena, D., Verburg, P.H., & Bregt, A.K. (2008). A method to define a typology for agent-based analysis in regional land-use research. Agriculture, Ecosystems and Environment, 128, 27-36
Van Delden, H., Luja, P., & Engelen, G. (2007). Integration of multi-scale dynamic spatial models of socio-economic and physical processes for river basin management. Environmental Modelling & Software, 22, 223-238
van der Linden, S., & Hostert, P. (2009). The influence or urban surface structures on the accuracy of impervious area maps from airborne hyperspectral data. Remote Sensing of Environment, 113, 2298-2305
Verburg, P.H., Kok, K., Pontius, Jr., R.G., & Veldkamp, A. (2006). Modeling land-use and land-cover change. In E.F. Lambin & H. Geist (Eds.), Land-use and Land-cover Change (pp. 117-131). Berlin Heidelberg
Wagner, W., Eberhöfer, C., Hollaus, M., & Summer, G. (2004). Robust Filtering of Airborne Laser Scanner Data for Vegetation Analysis. In E.W.M. Moeller (Ed.), ISPRS Working Group VIII/2 – Laser-Scanners for Forest and Landscape Assessment. Freiburg
Weng, Q.H., & Quattrochi, D.A. (Eds.) (2006a). Urban Remote Sensing. New York: CRC Press
Weng, Q.H., & Quattrochi, D.A. (2006b). Thermal remote sensing of urban areas: An introduction to the special issue. Remote Sensing of Environment, 104, 119-122
Wentz, E. A., Stefanov, W. L., Netzband, M., Möller, M. S., Brazel, A. J. (2009): The Urban Environmental Monitoring/100 Cities Project – Legacy of the First Phase and Next Steps. In: Global Mapping of Human Settlement. London.
Wesolowski, T., & Rowinski, P. (2006). Timing of bud burst and tree-leaf development in a multispecies temperate forest. Forest Ecology and Management, 237, 387-393
White, R., Engelen, G. (1993). Cellular automata and fractal urban form: a cellular modelling approach to the evolution of urban land-use patterns. Environment and Planning A 25, 1175-1199.
Wu, J. (2010). Editorial. Urban sustainability: An inevitable goal of landscape research. Landscape Ecology, 25, 1-4
Yang, L.M., Xian, G., Klaver, J.M., & Deal, B. (2003). Urban land-cover change detection through sub-pixel imperviousness mapping using remotely sensed data. Photogrammetric Engineering and Remote Sensing, 69, 1003-1010
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We are grateful for the support of this research by grants from the German Research Foundation (DFG; Research Training Group 780).
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Lakes, T., Hostert, P., Kleinschmit, B., Lauf, S., Tigges, J. (2011). Remote Sensing and Spatial Modelling of the Urban Environment. In: Endlicher, W. (eds) Perspectives in Urban Ecology. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-17731-6_8
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