Methodology for mapping non-forest wood elements using historic cadastral maps and aerial photographs as a basis for management.

The objective of this study was to test a method for analysing long-term structural changes in non-forest wood elements, using a newly developed classification system and relevant landscape characteristics. Although these non-forest wood elements are biotopes that have positive effects for the ecological stability of the landscape little is known about their long-term dynamics. The newly developed knowledge of the historical impact of various landscape management practices on non-forest wood elements can be applied in landscape planning procedures (e.g. planning ecological networks) in order to ensure relevant landscape management in the future. The method was applied in two contrasting study sites, Honbice (244 ha) and Krida (268 ha), located in east Bohemia and north Bohemia, in the Czech Republic. The study was based on old cadastral maps (from 1839 to 1843), black and white aerial photographs (from 1938, 1950, 1966, 1975 to 2006) and field control data from 2006. At the Honbice study site, the proportion of non-forest wood elements increased from 2.0 to 2.9% of the study site, due to large plantations of scattered vegetation in the open landscape. On the other hand, more than half of the wood vegetation in the village was cut down between 1966 and 2006. In addition, the relative length of the tree alleys decreased from 0.021 km ha(-1) to 0.018 km ha(-1) between 1950 and 1966. At the Krida study site, there was a significant increase in non-forest vegetation (from 2.4 to 8.2%), due to abandonment of the landscape (former military area). As the village disappeared, the total amount of scattered vegetation grew, due to the natural succession process. The relative length of the tree alleys decreased from 0.009 km ha(-1) to 0.005 km ha(-1). The method that was applied and based on the analysis of long-term structural changes in non-forest wood elements, using a (newly developed) classification system and relevant landscape characteristics has proved to be a suitable procedure for making a detailed description of long-term structural changes in non-forest wood elements in the landscape. The detailed classification system can be used most efficiently when it is applied to rather small territories. Some characteristics display a similar ability to describe changes in non-forest wood structures (e.g. relative length, proportion of the category).

[1]  M. Wanner,et al.  Transient fires useful for habitat-management do not affect soil microfauna (testate amoebae)—a study on an active military training area in eastern Germany , 2003 .

[2]  P. Mbile,et al.  Linking management and livelihood in environmental conservation: case of the Korup National Park Cameroon. , 2005, Journal of environmental management.

[3]  K. Rydgren,et al.  Land-cover and structural changes in a western Norwegian cultural landscape since 1865, based on an old cadastral map and a field survey , 2007, Landscape Ecology.

[4]  Arthur S. Lieberman,et al.  Landscape Ecology , 1994, Springer New York.

[5]  Geir-Harald Strand,et al.  The effect of field experience on the accuracy of identifying land cover types in aerial photographs , 2002 .

[6]  Annette Otte,et al.  Identifying patterns of land-cover change and their physical attributes in a marginal European landscape , 2007 .

[7]  H. Haberl,et al.  Linking pattern and process in cultural landscapes. An empirical study based on spatially explicit indicators , 2004 .

[8]  T. M. Lillesand,et al.  Remote sensing and image interpretation. Second edition , 1987 .

[9]  Z. Lipský,et al.  The changing face of the Czech rural landscape , 1995 .

[10]  Marc Antrop,et al.  Analyzing structural and functional changes of traditional landscapes—two examples from Southern France , 2004 .

[11]  Landscape Ecology and Geographic Information Systems , 1993 .

[12]  R. Reida,et al.  Mapping livestock-oriented agricultural production systems for the developing world , 2003 .

[13]  O. Eriksson,et al.  Long‐term spatial dynamics of Succisa pratensis in a changing rural landscape: linking dynamical modelling with historical maps , 2006 .

[14]  T. M. Lillesand,et al.  Remote Sensing and Image Interpretation , 1980 .

[15]  Barbora Engstová,et al.  Landscape and vegetation in a military area - past and present , 2008 .

[16]  Benoit Rivard,et al.  Dynamics in landscape structure and composition for the Chorotega region, Costa Rica from 1960 to 2000 , 2005 .

[17]  Lars Brabyn,et al.  Solutions for characterising natural landscapes in New Zealand using geographical information systems. , 2005, Journal of environmental management.

[18]  G. Belovsky Ecological Stability: Reality, Misconceptions, and Implications for Risk Assessment , 2002 .

[19]  S. Cousins,et al.  Analysis of land-cover transitions based on 17th and 18th century cadastral maps and aerial photographs , 2004, Landscape Ecology.

[20]  Elizabeth Brabec,et al.  Remnants of medieval field patterns in the Czech Republic: analysis of driving forces behind their disappearance with special attention to the role of hedgerows. , 2009 .

[21]  D. Franzen,et al.  Reconstructing past land use and vegetation patterns using palaeogeographical and archaeological data: A focus on grasslands in Nynäs by the Baltic Sea in south-eastern Sweden , 2002 .

[22]  S. Aronoff Geographic Information Systems: A Management Perspective , 1989 .

[23]  A. Lausch Applicability of landscape metrics for the monitoring of landscape change: issues of scale, resolution and interpretability , 2002 .

[24]  Sara A. O. Cousins,et al.  A methodological study for biotope and landscape mapping based on CIR aerial photographs , 1998 .

[25]  A. Otte,et al.  Linking socio-economic factors, environment and land cover in the German Highlands, 1945-1999. , 2005, Journal of environmental management.

[26]  Vikas Rai,et al.  Stability and complexity in ecological systems , 2000 .

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

[28]  J. Meeus Pan-European landscapes , 1995 .

[29]  P. Sklenička Temporal changes in pattern of one agricultural Bohemian landscape during the period 1938-1998 , 2002 .

[30]  Petteri Alho,et al.  Systematic Assessment of Maps as Source Information in Landscape-change Research , 2002 .

[31]  J. Larsen,et al.  Ecological stability of forests and sustainable silviculture , 1995 .

[32]  Felix Kienast,et al.  Analysis of historic landscape patterns with a Geographical Information System — a methodological outline , 1993, Landscape Ecology.

[33]  W. Fjellstad,et al.  Patterns of change in two contrasting Norwegian agricultural landscapes , 1999 .

[34]  Stein Tage Domaas The reconstruction of past patterns of tilled fields from historical cadastral maps using GIS , 2007 .

[35]  P. Burrough Principles of Geographical Information Systems for Land Resources Assessment , 1986 .

[36]  R. Bunce,et al.  The potential for using trees to help define historic landscape zones: a case study in the English Lake District , 2006 .

[37]  P. Sklenicka,et al.  Stand continuity—a useful parameter for ecological networks in post-mining landscapes , 2003 .

[38]  K. S. Rao,et al.  Forest management and land use/cover changes in a typical micro watershed in the mid elevation zone of Central Himalaya, India. , 2005 .

[39]  C. Mattheck,et al.  The body language of trees : a handbook for failure analysis , 1996 .

[40]  Tsehaie Woldai,et al.  Historical land use changes and their impact on sediment fluxes in the Balaton basin (Hungary) , 2005 .

[41]  M. Ihse,et al.  Swedish agricultural landscapes : patterns and changes during the last 50 years, studied by aerial photos , 1995 .

[42]  B. Turner,et al.  Correction for Turner et al., Land Change Science Special Feature: The emergence of land change science for global environmental change and sustainability , 2008, Proceedings of the National Academy of Sciences.

[43]  M. Pärtel,et al.  Landscape history of a calcareous (alvar) grassland in Hanila, western Estonia, during the last three hundred years , 1999, Landscape Ecology.

[44]  P. Verburg,et al.  From land cover change to land function dynamics: a major challenge to improve land characterization. , 2009, Journal of environmental management.

[45]  J. Palmer Using spatial metrics to predict scenic perception in a changing landscape: Dennis, Massachusetts , 2004 .

[46]  Helle Skånes,et al.  Landscape change and grassland dynamics : retrospective studies based on aerial photographs and old cadastral maps during 200 years in south Sweden , 1996 .

[47]  Ü. Mander,et al.  Development of European landscapes , 2004 .

[48]  Oliver Bender,et al.  Using GIS to analyse long-term cultural landscape change in Southern Germany , 2005 .

[49]  Petr Sklenicka,et al.  Landscape heterogeneity—a quantitative criterion for landscape reconstruction , 2002 .