Detecting land use and land cover changes in Northern German agricultural landscapes to assess ecosystem service dynamics

Landscape Online

Volumn 35, Issue 1, 2014, Pages 1-24

  Kandziora, Marion ^a   Dörnhöfer, Katja ^a   Oppelt, Natascha ^a   Müller, Felix ^a  

^a UNIVERSITY OF KIEL   (Germany)

Author keywords

Agricultural management practice; Crop rotation; Provisioning services; Quantification; Remote sensing

Indexed keywords

EID: 84902982056     PISSN: 18651542     EISSN: None     Source Type: Journal    
DOI: 10.3097/LO.201435     Document Type: Article

References (59)

1. BfN (Bundesamt für Naturschutz) 2009. Where have all the flowers gone? Grünland im Umbruch. Hintergrundpapier und Empfehlungen des BfN. http://www.bfn.de/fileadmin/MDB/documents/ themen/landwirtschaft/Gruenlandumbruch_ end.pdf (Date: 18.08.2013).
2. Blaschke, T. 2010. Object based image analysis for remote sensing. ISPRS Journal of Photogrammetry and Remote Sensing 65 (1), 2-16.
3. Boyd, D. & G. M. Foody 2011. An overview of recent remote sensing and GIS based research in ecological informatics. Ecological Informatics 6 (1), 25-36.
4. Brown, T. C.; Bergstrom J. C. & J. B. Loomis 2007. Defining, valuing, and providing ecosystem goods and services. Natural Resources Journal 47 (2), 329-376.
5. Campbell, J.B. & R.H. Wynne 2011. Introduction to remote sensing. Guilford Press, New York.
6. Chander, G.; Markham, B. & D. Helder 2009. Summary of current radiometric calibration coefficients for Landsat MSS, TM, ETM+, and EO-1 5ALI6 sensors. Remote Sensing of Environment 113 (5), 893-903.
7. Cohen, W. B. & S.N. Goward 2004. Landsat's Role in Ecological Applications of Remote Sensing. BioScience 54 (6), 535-545.
8. Congalton, R.G. 1991. A review of assessing the accuracy of classifications of remotely sensed data. Remote Sensing of Environment 37(1), 35-46.
9. Crossman, N. D.; Burkhard, B. & S. Nedkov 2012. Quantifying and mapping ecosystem services. International Journal of Biodiversity Science, Ecosystem Services & Management 8 (1-2), 1-4.
10. Dale, V. H. & S. Polasky 2007. Measures of the effects of agricultural practices on ecosystem services. Ecological Economics 64, 286-296.
11. de Groot, R. S.; Alkemade, R..; Braat, L.; Hein, L. & L. Willemen 2010. Challenges in integrating the concept of ecosystem services and values in landscape planning, management and decision making. Ecological Complexity 7, 260-272.
12. de Vries, S. C.; van de Ven, G. W. J.; van Ittersum, M. K. & K. E. Giller 2010. Resource use efficiency and environmental performance of nine major biofuel crops, processed by first-generation conversion techniques. Biomass and Bioenergy 34, 588-601.
13. ESRI 2010. ArcGIS 10.0.
14. Estoque, R. C. & Y. Murayama 2012. Examining the potential impact of land use/cover changes on the ecosystem services of Baguio city, the Philippines:A scenario-based analysis. Applied Geography 35 (1-2), 316-326.
15. Fischbock, A. & G. Venebrügge 1990. Bevölkerung, Erwerbsstruktur und Wandel der Flächennutzung im Hauptforschungsraum Bornhöveder Seenkette. Interne Mittelungen, Heft 4, 233-235.
16. Fohrer, N. & B. Schmalz 2012. Das UNESCO Ökohydrologie-Referenzprojekt Kielstau-Einzugsgebiet - nachhaltiges Wasserressourcenmanagement und Ausbildung im ländlichen Raum. Hydrologie und Wasserbewirtschaftung 56 (4), 160-168.
17. Foody, G. M. 2008. Harshness in image classification accuracy assessment. International Journal of Remote Sensing 29 (11), 3137-3158.
18. Foody, G. M. 2002. Status of land cover classification accuracy assessment. Remote Sensing of Environment 80 (1), 185-201.
19. Franke, J.; Keuck, V. & F. Siegert 2012. Assessment of grassland use intensity by remote sensing to support conservation schemes. Journal for Nature Conservation 20 (3), 125-134.
20. Fränzle, O.; Kappen, L.; Blume, H.-P. & K. Dierssen (eds.) (2008). Ecosystem Organization of a Complex Landscape - Long-Term Research in the Bornhöved Lake District, Germany. Springer, Berlin Heidelberg. Ecological Studies 202.
21. Haines-Young, R. & M. Potschin 2010. Proposal for a common international classification of ecosystem goods and services (CICES) for integrated environmental and economic accounting. Background document. European Environmental Agency. http://unstats.un.org/ unsd/envaccounting/ceea/meetings/UNCEEA-5-7-Bk1.pdf (Date: 10.08.2013)
22. Hirschberg, K. & L. Hirschberg n.d. Gut Perdöl. http:// www.perdoel.de/gut_perdoel.html (Date: 10.08.2013).
23. ITTVIS 2010. Envi. Version 4.8.
24. Kandziora, M.; Burkhard, B. & F. Müller 2013a. Interactions of ecosystem properties, ecosystem integrity and ecosystem service indicators - A theoretical matrix exercise. Ecological Indicators 28, 54-78.
25. Kandziora, M.; Burkhard, B. & F. Müller 2013b. Mapping provisioning ecosystem services at the local scale using data of varying spatial and temporal resolution. Ecosystem Services 4, 47-59.
26. Kennedy, R. E.; Townsend, P. A.; Gross, J. E.; Cohen, W. B.; Bolstad, P.; Wang, Y. Q. & P. Adams 2009. Remote sensing change detection tools for natural resource managers: Understanding concepts and tradeoffs in the design of landscape monitoring projects. Monitoring Protected Areas 113 (7), 1382-1396.
27. Kiesel, J.; Schmalz, B. & N. Fohrer 2009. SEPAL - a simple GIS-based tool to estimate sediment pathways in lowland catchments. Adv. Geosci 21, 25-32.
28. Koschke, L.; Fürst, C.; Lorenz, M.; Witt, A.; Frank, S. & F. Makeschin 2013. The integration of crop rotation and tillage practices in the assessment of ecosystem services provision at the regional scale. Ecological Indicators 32, 157-171.
29. Kroll, F.; Müller, F.; Haase, D. & N. Fohrer 2012. Rural- urban gradient analysis of ecosystem services supply and demand dynamics. Land Use Policy 29, 521-535.
30. Lautenbach, S.; Kugel, C.; Lausch, A. & R. Seppelt 2011. Analysis of historic changes in regional ecosystem service provisoning using land use data. Ecological Indicators 11, 676-687.
31. Leh, M.D.K.; Matlock, M. D.; Cummings, E. C. & L.L. Nalley 2013. Quantifying and mapping multiple ecosystem services change in West Africa. Agriculture, Ecosystems and Environment 165, 6- 18.
32. LLUR (Landesamt für Landwirtschaft, Umwelt und ländliche Räume) 2012. Data on protected areas in Schleswig-Holstein. Personal communication.
33. Lorencová, E.; Frélichová, J.; Nelson, E. & D. Vačkář 2013. Past and future impacts of land use and climate change on agricultural ecosystem services in the Czech Republic. Land Use Policy 33, 183-194.
34. Lorenz, M.; Fürst, C. & E. Thiel 2013. A methodological approach for deriving regional crop rotations as basis for the assessment of the impact of agricultural strategies using soil erosion as example. Journal of Environmental Management 127, S37-S47.
35. LVA (Landesamt für Vermessung und Geoinformation Schleswig-Holstein) 2007. ATKIS (Official Topographical Cartographic Information System). Landesamt für Vermessung und Geoinformation Schleswig-Holstein. Personal communication.
36. MEA (Millennium Ecosystem Assessment) 2005. Ecosystems and human well-being: synthesis; a report of the Millennium Ecosystem Assessment. Island Press, Washington DC. 137 pp.
37. MELUR (Ministerium für Energiewende, Landwirtschaft, Umwelt und ländliche Räume) 2012. Jahresbericht 2012. Jagd und Artenschutz. http://www.schleswig-holstein.de/MELUR/DE/Service/Broschueren/Umwelt/pdf/Jagd_und_Artenschutz_2012__blob=publicationFile.pdf (Date: 01.08.2013).
38. MELUR (Ministerium für Energiewende, Landwirtschaft, Umwelt und ländliche Räume) 2011. Empfehlungen zur Optimierung des Maisanbaus in Schleswig-Holstein. http://www. schleswig holstein.de/UmweltLandwirtschaft/DE/LandFischRaum/05_Pflanzenproduktion/001_Maisanbau/Maisanbau_node.html (Date:01.08.2013).
39. MELUR (Ministerium für Energiewende, Landwirtschaft, Umwelt und ländliche Räume) 2010. IACS (Integrated Administration and Control System) land use data. Ministerium für Energiewende, Landwirtschaft, Umwelt und ländliche Räume des Landes Schleswig-Holstein -Ministry of Energy, Agriculture, the Environment and Rural Areas Schleswig-Holstein. Personal communication.
40. MELUR (Ministerium für Energiewende, Landwirtschaft, Umwelt und ländliche Räume) 2008. Jahresbericht 2008. Jagd und Artenschutz. http://www.schleswig-holstein.de/MELUR/DE/Service/Broschueren/Umwelt/pdf/Jagd_und_Artenschutz_08__blob=publicationFile.pdf (Date:15.08.2013).
41. Meyer, M. 2000. Entwicklung und Modellierung von Planungsszenarien für die Landnutzung im Gebiet der Bornhöveder Seenkette. Dissertation Christian-Albrechts-Universität zu Kiel.
42. Müller, F.; Schrautzer, J.; Reiche, E.-W. & A. Rinker 2006. Ecosystem based indicators in retrogressive successions of an agricultural landscape. Ecological Indicators 6, 63-82.
43. Oppelt, N.; Rathjens, H. & K. Dörnhöfer 2012. Integration of land cover data into the open source model SWAT. Proceedings of the First Sentinel-2 Preparatory Symposium held on 23-27 April 2012 in ESA-ESRIN, Frascati.
44. Pax-Lenney, M. & C. E. Woodcock 1997. Monitoring agricultural lands in Egypt with multitemporal Landsat TM imagery: How many images are needed? Remote Sensing of Environment 59 (3), 522-529.
45. Polasky, S.; Nelson. E.; Pennington, D. & K.A. Johnson 2011. The Impact of Land-Use Change on Ecosystem Services, Biodiversity and Returns to Landowners: A Case Study in the State of Minnesota. Environ Resource Econ 48, 219-242.
46. Rathjens, H.; Dörnhöfer, K. & N. Oppelt, N. 2014. IRSeL - An approach to enhance continuity and accuracy of remotely sensed sensed land cover data. International Journal of Applied Earth Observation and Geoinformation 31, 1-12.
47. Rode, M. 2005. Energetische Nutzung von Biomasse und der Naturschutz. Natur und Landschaft 80, 403-412.
48. Schleuß, U. 1992. Böden und Bodenschaften einer norddeutschen Moränenlandschatft: ökologische Eigenschaften, Vergesellschaftung und Funktion der Böden im Bereich der Bornhöveder Seenkette. EcoSys 2.
49. Schultze, C. & J. Köppe 2007. Gebietskulissen für den Energiepflanzenanbau? Steuerungsmöglichkeiten der Planung. Naturschutz und Landschaftsplanung 39, 269-272.
50. Sexton, J. O.; Urban, D. L.; Donohue, M. J. & C. Song 2013. Long-term land cover dynamics by multitemporal classification across the Landsat-5 record. Remote Sensing of Environment 128, 246-258.
51. Song, C.; Woodcock, C. E.; Seto, K. C.; Lenney, M. P. & S.A. Macomber 2001. Classification and Change Detection Using Landsat TM Data: When and How to Correct Atmospheric Effects? Remote Sensing of Environment 75 (2), 230-244.
52. Statistikamt Nord 2013. Statistisches Jahrbuch Schleswig-Holstein 2012/2013. http://www. statistik-nord.de/uploads/tx_standocuments/JB12SH_gesamt.pdf (Date: 15.08.2013).
53. Statistikamt Nord 2012. Data on livestock, harvest yields, cultivation area 1987-2011. Personal communication.
54. Statistisches Landesamt Schleswig-Holstein 1989. Statistische Berichte des Statistischen Landesamt Schleswig-Holstein. Gemeindeergebnisse der allgemeinen Viehzählung 1988.
55. Steen, H. 2013. Daten zur Biogasanlagen im Kielstau-Gebiete. Personal communication.
56. UBA (Umweltbundesamt) 2011. Data on the environment 2011 edition - Environment and agriculture. http://www.umweltdaten.de/publikationen/ fpdf-l/4129.pdf (date: 15.08.2013).
57. USGS (U.S. Geological Survey) 2013. FAQ about Landsat Missions: What are the band designations for the Landsat satellites? http://landsat.usgs. gov/band_designations_landsat_satellites.php (Date: 27.08.2013).
58. Wandhoff, V. 2013. Kiesgrube Vierhusen. Personal communication.
59. Yuan, F.; Sawaya, K. E.; Loeffelholz, B. C. & M. E. Bauer 2005. Land cover classification and change analysis of the Twin Cities (Minnesota) Metropolitan Area by multitemporal Landsat remote sensing. Remote Sensing of Environment 98 (2-3), 317-328.