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Detection of long-term landscape changes and trajectories in a Pannonian sand region: comparing land-cover and habitat-based approaches at two spatial scales

Abstract

A key driver of biodiversity loss is human landscape transformation. Change detection and trajectory analysis are frequently applied methods for studying landscape change. We studied to what degree habitat-specific change detection and trajectory analysis provide different information on landscape change compared to the analysis with land-cover statistics. Our research was carried out at two spatial scales (regional, 1800 km2, 360 random points; local, 23 km2, polygon-based maps) in the Kiskunság, Hungary. Spatio-temporal databases were prepared using historical maps, aerial photos and satellite images from 1783, 1883, 1954, and 2009. Local expert knowledge of landscape history and recent vegetation was used during the historical reconstructions. We found large differences at both scales between land-cover based and habitat-specific analyses. Habitat-specific change detection revealed that grassland loss was not continuous in the different habitats, as land-cover based analysis implied. Ploughing affected open sand grasslands and sand steppes differently in the periods studied. It was only apparent from the habitat-specific analyses that from the grasslands only mesotrophic and Molinia meadows were relatively constant, up until the 1950s. The gradual increase in forest area revealed by land-cover CHD analyses was split into natural and anthropogenic processes by habitat-specific analyses. Habitat specific trajectory analysis also revealed ecologically important historical differences between habitats. Afforestation affected especially the open sand grasslands, whereas wetland habitats were relatively stable. The most important trajectory was the one in which closed sand steppes were ploughed during the 19th century, and remained arable fields until present. Fifty percent of the regional trajectories of 18th century open sand grasslands terminated in tree plantations at present, though 82% of the current open sand grasslands of the local site can be regarded as ancient. We concluded that dividing land-cover categories into finer habitat categories offered an opportunity for a more precise historical analysis of key habitats, and could reveal important ecological processes that cannot be reconstructed with land-cover based analyses. It also highlighted habitat-specific processes making natural and social drivers better interpretable. Information on the diversity of habitat-histories may serve as a basis for spatially more explicit conservation management.

Abbreviations

CHD:

Change detection

DEM:

Digital elevation model

References

  1. Agnoletti, M. 2007. The degradation of traditional landscape in a mountain area of Tuscany during the 19th and 20th centuries: implications for biodiversity and sustainable management. Forest Ecol. Manag. 249: 5–17.

    Article  Google Scholar 

  2. Anand, M. and G.W. Heil. 2000. Analysis of a recovery process: Dwingelose Heide revisited. Community Ecol. 1: 65–72.

    Article  Google Scholar 

  3. Anand, M. and L. Orloci. 1997. Chaotic dynamics in a multispecies community. Environ. Ecol. Stat. 4: 337–344.

    Article  Google Scholar 

  4. Antrop, M. 2005. Why landscapes of the past are important for the future? Landscape Urban Plan. 70: 21–34.

    Article  Google Scholar 

  5. Arce-Nazario, J.A. 2007. Human landscapes have complex trajectories: reconstructing Peruvian Amazon landscape history from 1948 to 2005. Landscape Ecol. 22: 89–101.

    Article  Google Scholar 

  6. Bagi I. 2000. NBmR tájléptékű élőhely-monitorozás a “T5x5_099 Kiskunság/Fülöpháza” mintaterület élőhely-térképezése és leírása. Kutatási jelentés. (Habitat mapping and description of the 5x5 km sample plot “T5x5_099 Kiskunság/ Fülöpháza” in the Hungarian Biodiversity Monitoring Project. Report in Hungarian). KvVM TvH, MTA ÖBKI, Vácrátót.

  7. Bagi, I. 1988. The role of water management in the degradation processes of halophilic vegetation in Hungary. Environ. Conserv. 15: 359–362.

    Article  Google Scholar 

  8. Bartha, S., Zs. Molnár and G. Fekete. 2008. Patch dynamics in sand grasslands: connecting primary and secondary succession. In: E. Kovács-Láng, E. Molnár, Gy. Kröel-Dulay and S. Barabás (eds.), The KISKUN LTER, Long-term Ecological Research in the Kiskunság, Hungary. Institute of Ecology and Botany, H.A.S., Vácrátót. pp. 37–40.

    Google Scholar 

  9. Biró, M. 2006. Történeti vegetációrekonstrukciók a térképek botanikai tartalmának foltonkénti gazdagításával (Reconstructions of historical vegetation by the method of „teaching” maps). Tájökológiai Lapok 4(2): 357–384. In Hungarian.

    Google Scholar 

  10. Biró, M. 2008. A Duna-Tisza köze fásszárú vegetációjának átalakulása a 18. század óta, különös tekintettel a száraz homok-területekre. (Changes in woody vegetation of the Duna-Tisza köze since the 18th century with special emphasis on sand dunes). In: Gy. Kröel-Dulay, T. Kalapos and A. Mojzes (eds.), Talaj-vegetáció-klíma kölcsönhatások. MTA Ökológiai és Botanikai Kutatóintézete, Vácrátót. pp. 23–38. In Hungarian.

  11. Biró, M. and Zs. Molnár. 1998. A Duna-Tisza köze homokbuckásainak tájtípusai, azok kiterjedése, növényzete és tájtörténete a 18. századtól (Vegetation and land-use history in the sand dunes of the Duna-Tisza köze from the 18th century and the mapping of landscape types of the late 18th century). Történeti Földrajzi Füzetek 5: 1– 34. In Hungarian with shortened English version.

    Google Scholar 

  12. Biró, M., A. Révész, F. Horváth and Zs Molnár. 2006. Point based mapping of the actual vegetation of a large area in Hungary – description, usability and limitation of the method. Acta Bot. Hung. 48: 247–269.

    Article  Google Scholar 

  13. Biró, M., A. Révész, Zs. Molnár and F. Horváth. 2007. Regional habitat pattern of the Danube-Tisza interfluve in Hungary I. The landscape structure and habitat pattern; the fen and alkali vegetation. Acta Bot. Hung. 49(3–4): 267–303.

    Article  Google Scholar 

  14. Biró, M., B. Czúcz, F. Horváth, A. Révész, B. Csatári and Zs. Molnár. 2013. Drivers of grassland loss in Hungary during the post-socialist transformation (1987–1999). Landscape Ecol. 28(5) 789–803.

    Article  Google Scholar 

  15. Bölöni J., Zs. Molnár and A. Kun. 2011. Magyarország élőhelyei. A hazai vegetációtípusok leírása és határozója. (Habitats of Hungary. A description and guide to Hungarian vegetation) MTA ÖBKI, Vácrátót. In Hungarian.

    Google Scholar 

  16. Bölöni, J., Zs. Molnár, E. Illyés and A. Kun. 2007. A new habitat classification and manual for standardized habitat mapping. Annali di Botanica nouva serie. 7: 105–126.

    Google Scholar 

  17. Bürgi, M., A.M. Hersperger and N. Schneeberger. 2004. Driving forces of landscape change – current and new directions. Landscape Ecol. 19: 857–868.

    Article  Google Scholar 

  18. Cale, W.G., G.M. Henebry and J.A. Yeakley. 1989. Inferring process from pattern in natural communities. BioScience 39(9): 600–605.

    Article  Google Scholar 

  19. Cousins, S.A.O. 2001. Analysis of land-cover transitions based on 17th and 18th century cadastral maps and aerial photographs. Landscape Ecol. 16: 41–54.

    Article  Google Scholar 

  20. Cousins, S.A.O. and O. Eriksson. 2002. The influence of management history and habitat on plant species richness in a rural hemiboreal landscape, Sweden. Landscape Ecol. 17: 517–529.

    Article  Google Scholar 

  21. Csatári, B. and J. Farkas. 2008. Agrarian and rural development in Hungary, 1990–2005, In: Bańsky, J., M. Bednarek (eds.), Contemporary Changes of Agriculture in East-Central Europe. Polish Academy of Sciences Institute of Geography and Spatial Organization, Polish Geographical Society, Warsaw. (Rural Studies 15), pp. 147–164.

    Google Scholar 

  22. Csecserits, A., B. Czúcz, M. Halassy, G. Kröel-Dulay, T. Rédei, R. Szabó, K. Szitár and K. TöröK. 2011. Regeneration of sandy old-fields in the forest steppe region of Hungary. Plant Biosyst. 145: 715–729.

    Article  Google Scholar 

  23. Cserhalmi, D., J. Nagy, D. Kristóf and D. Neidert. 2011. Changes in a wetland ecosystem: a vegetation reconstruction study based on historical panchromatic aerial photographs and succession patterns. Folia Geobot. 46(4): 351–371.

    Article  Google Scholar 

  24. Czúcz, B., A. Csecserits, Z. Botta-Dukát, G. Kröel-Dulay, R. Szabó, F. Horváth and Zs. Molnár. 2011. An indicator framework for the climatic adaptive capacity of natural ecosystems. J. Veg. Sci. 22(4): 711–725.

    Article  Google Scholar 

  25. Eremiášová, R. and H. Skokanová. 2009. Land use changes (recorded in old maps) and delimitation of the most stable areas from the perspective of land use in the Kašperské Hory region. Landscape Ecol. 88(1): 20–34.

    Google Scholar 

  26. Fischer, J. and D.B. Lindenmayer. 2007. Landscape modification and habitat fragmentation: a synthesis. Global Ecol. Biogeogr. 16: 265–280.

    Article  Google Scholar 

  27. Foley, J.A., R. DeFries, G.P. Asner, C. Barford, G. Bonan, S.R. Carpenter and P.K. Snyder. 2005. Global consequences of land use. Science 309(5734): 570–574.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  28. Frondoni, R., B. Mollo and G. Capotorti. 2011. A landscape analysis of land cover change in the Municipality of Rome (Italy): Spatio-temporal characteristics and ecological implications of land cover transitions from 1954 to 2001. Landscape Urban Plan. 100(1–2): 117–128.

    Article  Google Scholar 

  29. Gillanders, S.N., N.C. Coops, M.A. Wulder, S.E. Gergel and T. Nelson. 2008. Multitemporal remote sensing of landscape dynamics and pattern change: describing natural and anthropogenic trends. Prog. Phys. Geog. 32: 503–528.

    Article  Google Scholar 

  30. Hatna, E. and M.M. Bakker. 2011. Abandonment and expansion of arable land in Europe. Ecosystems 14: 720–731.

    Article  Google Scholar 

  31. Hooftman, D.A.P. and J.M. Bullock. 2012. Mapping to inform conservation: A case study of changes in semi-natural habitats and their connectivity over 70 years. Biol. Conserv. 145(1): 30–38.

    Article  Google Scholar 

  32. Houet, T., P.H. Verburg and T.R. Loveland. 2010. Monitoring and modelling landscape dynamics. Landscape Ecol. 25(2): 163–167.

    Article  Google Scholar 

  33. Ichikawa, K., N. Okubo, S. Okubo and K. Takeuchi. 2006. Transition of the satoyama landscape in the urban fringe of the Tokyo metropolitan area from 1880 to 2001. Landscape Urban Plan. 78: 398–410.

    Article  Google Scholar 

  34. Käyhkö, N. and H. Skånes. 2008. Retrospective land cover/land use change trajectories as drivers behind the local distribution and abundance patterns of oaks in south-western Finland. Landscape Urban Plan. 88(1): 12–22.

    Article  Google Scholar 

  35. Käyhkö, N. and H. Skånes. 2006. Change trajectories and key biotopes - Assessing landscape dynamics and sustainability. Landscape Urban Plan. 75 (3–4): 300–321.

    Article  Google Scholar 

  36. Kovács-Láng, E., Gy. Kröel-Dulay, M. Kertész, G. Fekete, S. Bartha, J. Mika, I. Dobi-Wantuch, T. Rédei, K. Rajkai and I. Hahn. 2000. Changes in the composition of sand grasslands along a climatic gradient in Hungary and implications for climate change. Phytocoenologia 30(3–4): 385–407.

    Article  Google Scholar 

  37. Kowalska. A. 2012. Changes in the area of protected plant communities in the middle Vistula river valley in the second half of the 20th century. Polish J. Ecol. 60(1): 19–30.

    Google Scholar 

  38. Lindborg, R. and O. Eriksson. 2004. Historical landscape connectivity affects present plant species diversity. Ecology 85(7): 1840–1845.

    Article  Google Scholar 

  39. Mádl-Szõnyi, J., and J. Tóth. 2009. A hydrogeological type section for the Duna-Tisza Interfluve, Hungary. Hydrogeology Journal 17(4): 961–980.

    Article  CAS  Google Scholar 

  40. Mikusinska, A., B. Zawadzka, T. Samojlik, B. Jędrzejewska and G. Mikusiński. 2013. Quantifying landscape change during the last two centuries in Białowiez˙a Primeval Forest. Appl. Veg. Sci. 16: 217–226.

    Article  Google Scholar 

  41. Molnár, Zs. (ed.) 2003. A Kiskunság száraz homoki növényzete (Sanddunes in Hungary, Kiskunság). Természetbúvár Alapítvány Kiadó, Budapest. In Hungarian

    Google Scholar 

  42. Molnár, Zs., M. Biró, S. Bartha and G. Fekete. 2012. Past Trends, Present State and Future Prospects of Hungarian Forest-Steppes. In: M.J.A. Werger and M.A. van Staalduinen (eds.), Eurasian Steppes. Ecological Problems and Livelihoods in a Changing World. Springer, Dordrecht, Heidelberg, New York, London. pp. 209–252.

    Chapter  Google Scholar 

  43. Molnár, Zs., S. Bartha, T. Seregélyes, E. Illyés, G. Tímár, F. Horváth, A. Révész, A. Kun, Z. Botta-Dukát, J. Bölöni, M. Biró, L. Bodonczi, J.Á. Deák, P. Fogarasi, A. Horváth, I. Isépy, L. Karas, F. Kecskés, Cs. Molnár, Ortmann-né A. Ajkai and S. Rév. 2007. A grid-based, satellite-image supported, multi-attributed vegetation mapping method (MÉTA). Folia Geobot. 42: 225–247.

    Article  Google Scholar 

  44. Nainggolan, D., J. de Vente, C. Boix-Fayos, M. Termansen, K. Hubacek and M.S. Reed. 2012. Afforestation, agricultural abandonment and intensification: Competing trajectories in semiarid Mediterranean agro-ecosystems, Agr. Ecosyst. Environ. 159: 90–104.

    Article  Google Scholar 

  45. Ojeda-Revah, L., G. Bocco, E. Ezcurra and I. Espejel. 2008. Land-cover/use transitions in the binational Tijuana River watershed during a period of rapid industrialization. Appl. Veg. Sci. 11: 107–116.

    Article  Google Scholar 

  46. Orczewska, A. 2009. Age and origin of forests in south-western Poland and their importance for ecological studies in man-dominated landscapes. Landscape Res. 34: 559–617.

    Article  Google Scholar 

  47. Orlóci, L. 2001. Pattern dynamics: an essay concerning principles, techniques, and applications. Community Ecol. 2(1): 1–15.

    Article  Google Scholar 

  48. Orlóci, L. 2009. Multi-scale trajectory analysis: powerful conceptual tool for understanding ecological change. Frontiers of Biology in China. 4(2): 158–179.

    Article  Google Scholar 

  49. Orlóci, L., M. Anand, and X.S. He. 1993. Markov chain: a realistic model for temporal coenosere. Biometrie-Praximetrie 33: 7–26.

    Google Scholar 

  50. Pickett, S.T.A. and P.S. White. 1985. The Ecology of Natural Disturbance and Patch Dynamics. Academic Press New York.

    Google Scholar 

  51. Prentice, I. C., A. Bondeau, W. Cramer, S.P. Harrison, T. Hickler, W. Lucht, S. Sitch, B. Smith and M.T. Sykes. 2007. Dynamic global vegetation modeling: quantifying terrestrial ecosystem responses to large-scale environmental change. In: J.G. Canadell, D.D.E. Pataki and L.F. Pitelka (eds.), Terrestrial Ecosystems in a Changing World. Springer, Berlin, Heidelberg. pp. 175–192.

    Chapter  Google Scholar 

  52. Rodrigues, P. 2010. Landscape changes in Castro Laboreiro: from farmland abandonment to forest regeneration. MSc Thesis, Faculdade de Ciências da Universidade de Lisboa, Lisboa.

  53. Ruiz, J. and G. Domon. 2009. Analysis of landscape pattern change trajectories within areas of intensive agricultural use: case study in a watershed of southern Quebec, Canada. Landscape Ecol. 24: 419–432.

    Article  Google Scholar 

  54. Somodi, I., K. Virágh and R. Aszalós. 2004. The effect of the abandonment of grazing on the mosaic of vegetation patches in a temperate grassland area in Hungary. Ecol. Complex. 1(2): 177–189.

    Article  Google Scholar 

  55. Swetnam, R.D. 2007. Rural land use in England and Wales between 1930 and 1998: Mapping trajectories of change with a high resolution spatio-temporal dataset. Landscape Urban Plan. 81: 91–103.

    Article  Google Scholar 

  56. Szitár K. 2010. Jelentés a “T5x5_099 Kiskunság/Fülöpháza” NBMR kvadrat 2009–2010. évi újratérképezéséről. Kutatási jelentés. (Report of the remapping and description of the 5x5 km sample plot “T5x5_099 Kiskunság/Fülöpháza” in 2009–2010. Research report, in Hungarian.). KvVM TvH, MTA ÖBKI, Vácrátót.

  57. Szitár, K., K. Török and R. Szabó. 2008. Vegetation composition changes in ex-arable fields following glyphosate application: the role of soil seed bank and timing of seed production. Cereal Res. Commun. 36: 1–4. (Suppl.)

    Google Scholar 

  58. Takács, G. and Zs. Molnár. (eds.) 2009. Habitat mapping. Handbooks of National Biodiversity Monitoring System IX. MTA ÖBKI - KvVM, Vácrátót – Budapest. https://doi.org/novenyzetit-erkep.hu/?q=magyar/publikaciok/node/374

    Google Scholar 

  59. Ujházy, K., J. Fanta, and K. Prach. 2011. Two centuries of vegetation succession in an inland sand dune area, central Netherlands. Appl. Veg. Sci. 14(3): 316–325.

    Article  Google Scholar 

  60. Veldkamp, A. and E.F. Lambin. 2001. Predicting land-use change. Agric. Ecosyst. Environ. 85: 1–6.

    Article  Google Scholar 

  61. Verburg, P.H., D.B. van Berkel, A.M. van Doorn, M. van Eupen and H.A.R.M. van den Heiligenberg. 2010. Trajectories of land use change in Europe: a model-based exploration of rural futures. Landscape Ecol. 25:217–232.

    Article  Google Scholar 

  62. Vitousek, P.M., H.A. Mooney, J. Lubchenco and J. M. Melillo. 1997. Human domination of earth’s ecosystems. Science 277: 494–499.

    Article  CAS  Google Scholar 

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Biró, M., Szitár, K., Horváth, F. et al. Detection of long-term landscape changes and trajectories in a Pannonian sand region: comparing land-cover and habitat-based approaches at two spatial scales. COMMUNITY ECOLOGY 14, 219–230 (2013). https://doi.org/10.1556/ComEc.14.2013.2.12

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Keywords

  • Change detection analysis
  • Habitat change
  • Habitat continuity
  • Land-cover change
  • Regional scale