Broad scale forest cover reconstruction from historical topographic maps

Abstract Land cover change is one of the major contributors to global change, but long-term, broad-scale, detailed and spatially explicit assessments of land cover change are largely missing, although the availability of historical maps in digital formats is increasing. The problem often lies in efficiency of analyses of historical maps for large areas. Our goal was to assess different methods to reconstruct land cover and land use from historical maps to identify a time-efficient and reliable method for broad-scale land cover change analysis. We compared two independent forest cover reconstruction methods: first, regular point sampling, and second, wall-to-wall mapping, and tested both methods for the Polish Carpathians (20,000 km 2 ) for the 1860s, 1930s and 1970s. We compared the two methods in terms of their reliability for forest change analysis, relative to sampling error, point location and landscape context including local forest cover, area of the spatial reference unit and forest edge-to-core ratio. Our results showed that the point-based analysis overestimated forest cover in comparison to wall-to-wall mapping by 1–3%, depending on the mapping period. The reasons for the differences were mainly the backdating approach and map generalisation rather than the point grid position or sampling error. When we compared forest cover trajectories over time, we found that the point-based reconstruction captured forest cover dynamics with a comparable accuracy to the wall-to-wall mapping. More broadly, our assessment showed that historical maps can provide valuable data on long-term land cover trends, and that point-based sampling can be an efficient and accurate way to assess forest area and change trends. We suggest that our point-based approach could allow land cover mapping across much of Europe starting in the 1800s. Our findings are important because they suggest that land cover change, a key component of global change, can be assessed over large areas much further back in time than it is commonly done. This would allow to truly understand path dependencies, land use legacies, and historical drivers of land cover change.

[1]  Josef W. Konvitz,et al.  Cartography in France 1660–1848: Science, Engineering, and Statecraft by Josef Konvitz (review) , 1987, Technology and Culture.

[2]  Jacek Kozak,et al.  Forest Cover Change in the Western Carpathians in the Past 180 Years , 2003 .

[3]  A. M. Hersperger,et al.  Driving forces of landscape change - current and new directions , 2004, Landscape Ecology.

[4]  E. Lambin,et al.  Land use transitions: Socio-ecological feedback versus socio-economic change , 2010 .

[5]  Marcin Iwanowski,et al.  Forest cover mask from historical topographic maps based on image processing , 2017 .

[6]  Matthew C. Hansen,et al.  The global Landsat imagery database for the FAO FRA remote sensing survey , 2011, Int. J. Digit. Earth.

[7]  Zdeněk Lipský,et al.  Using old military survey maps and orthophotograph maps to analyse long-term land cover changes – Case study (Czech Republic) , 2011 .

[8]  Shuwen Zhang,et al.  A review of historical reconstruction methods of land use/land cover , 2014, Journal of Geographical Sciences.

[9]  J. Townshend,et al.  Use of Landsat and Corona data for mapping forest cover change from the mid-1960s to 2000s: Case studies from the Eastern United States and Central Brazil , 2015 .

[10]  Thomas Rudel,et al.  Meta-analyses of case studies: A method for studying regional and global environmental change , 2008 .

[11]  Volker C. Radeloff,et al.  Legacies of 19th century land use shape contemporary forest cover , 2015 .

[12]  Izabela Sitko,et al.  Timberline Changes in Relation to Summer Farming in the Western Chornohora (Ukrainian Carpathians) , 2008 .

[13]  Brandon Plewe,et al.  The Nature of Uncertainty in Historical Geographic Information , 2002, Trans. GIS.

[14]  P. Legendre.  Spatial Autocorrelation: Trouble or New Paradigm? , 1993 .

[15]  Karel Maslo,et al.  LONG-term dynamic modeling of renewable energy sources , 2011, 2011 IEEE EUROCON - International Conference on Computer as a Tool.

[16]  Michael Given.  Maps, Fields, and Boundary Cairns: Demarcation and Resistance in Colonial Cyprus , 2002 .

[17]  F. Achard,et al.  Monitoring Forest Areas from Continental to Territorial Levels Using a Sample of Medium Spatial Resolution Satellite Imagery , 2010 .

[18]  S. Carpenter,et al.  Global Consequences of Land Use , 2005, Science.

[19]  B. Flyvbjerg.  Five Misunderstandings About Case-Study Research , 2006, 1304.1186.

[20]  Luis Iglesias Martínez,et al.  Systematic sample design for the estimation of spatial means , 2003 .

[21]  A. S. Belward,et al.  Who launched what, when and why; trends in global land-cover observation capacity from civilian earth observation satellites , 2015 .

[22]  Ben Collen,et al.  Global effects of land use on local terrestrial biodiversity , 2015, Nature.

[23]  Eric F. Lambin,et al.  Introduction: Local Processes with Global Impacts , 2006 .

[24]  G. Molnár,et al.  Digitized Maps of the Habsburg Military Surveys - Overview of the Project of ARCANUM Ltd. (Hungary) , 2010, Preservation in Digital Cartography.

[25]  D. Tilman,et al.  The Importance of Land-Use Legacies to Ecology and Conservation , 2003 .

[26]  Stefan Leyk,et al.  A Conceptual Framework for Uncertainty Investigation in Map‐based Land Cover Change Modelling , 2005, Trans. GIS.

[27]  Jan H. Janse,et al.  Drivers of Wetland Conversion: a Global Meta-Analysis , 2013, PloS one.

[28]  Matthias Bürgi,et al.  Using the Past to Understand the Present Land Use and Land Cover , 2007 .

[29]  C. Justice,et al.  High-Resolution Global Maps of 21st-Century Forest Cover Change , 2013, Science.

[30]  Hendrik Rujner,et al.  A GIS-based method for the reconstruction of the late eighteenth century forest vegetation in the Prignitz region (NE Germany) , 2011, Landscape Ecology.

[31]  A. M. Hersperger,et al.  Driving forces of landscape change — current and new directions , 2004, Landscape Ecology.

[32]  M. Herold,et al.  The potential of old maps and encyclopaedias for reconstructing historic European land cover/use change , 2015 .

[33]  Birgitta König-Ries,et al.  Interannual variation in land-use intensity enhances grassland multidiversity , 2013, Proceedings of the National Academy of Sciences.

[34]  M. Mohammad.  DRIVERS OF LAND USE CHANGE IN BANGLADESH PERSPECTIVE , 2009 .

[35]  Gerard Hazeu,et al.  Corine land cover change detection in Europe (case studies of the Netherlands and Slovakia) , 2007 .

[36]  J. C. Koop.  On Splitting a Systematic Sample for Variance Estimation , 1971 .

[37]  X. Pons,et al.  Land cover change in Europe between 1950 and 2000 determined employing aerial photography , 2010 .

[38]  L. Östlund,et al.  Changes in mixed deciduous forests of boreal Sweden 1866–1999 based on interpretation of historical records , 2002, Landscape Ecology.

[39]  G. Mikusiński,et al.  Quantifying landscape change during the last two centuries in Białowieża Primeval Forest , 2013 .

[40]  C. Ginzler,et al.  Evaluating forest transition based on a multi-scale approach: forest area dynamics in Switzerland 1850–2000 , 2016, Regional Environmental Change.

[41]  Stephen Polasky,et al.  Projected land-use change impacts on ecosystem services in the United States , 2014, Proceedings of the National Academy of Sciences.

[42]  C. Heald,et al.  Land use change impacts on air quality and climate. , 2014, Chemical reviews.

[43]  L. Godet,et al.  Three centuries of land cover changes in the largest French Atlantic wetland provide new insights for wetland conservation , 2013 .

[44]  Eric F. Lambin,et al.  Globalization of land use: distant drivers of land change and geographic displacement of land use , 2013 .

[45]  J. Kaplan,et al.  The prehistoric and preindustrial deforestation of Europe , 2009 .

[46]  N. Ramankutty,et al.  Estimating historical changes in global land cover: Croplands from 1700 to 1992 , 1999 .

[47]  Steffen Fritz,et al.  Geo-Wiki.Org: The Use of Crowdsourcing to Improve Global Land Cover , 2009, Remote. Sens..

[48]  Linda Aune-Lundberg,et al.  Comparison of variance estimation methods for use with two-dimensional systematic sampling of land use/land cover data , 2014, Environ. Model. Softw..

[49]  G. S. Dunbar.  Applied Geography , 1978, Nature.

[50]  D. Feliciano,et al.  Comparing Path Dependence and Spatial Targeting of Land Use in Implementing Climate Change Responses , 2014 .

[51]  Stephen V. Stehman,et al.  Sampling designs for accuracy assessment of land cover , 2009 .

[52]  Kuno M. Strassmann,et al.  Past and future carbon fluxes from land use change, shifting cultivation and wood harvest , 2014 .

[53]  V. Radeloff,et al.  orest and agricultural land change in the Carpathian region — meta-analysis of long-term patterns and drivers of change , 2014 .

[54]  Robert C. Wolpert,et al.  A Review of the , 1985 .

[55]  Kimberly C. Kowal,et al.  Online Georeferencing for Libraries: The British Library Implementation of Georeferencer for Spatial Metadata Enhancement and Public Engagement , 2012 .

[56]  M. Bürgi,et al.  Reconstructing the collapse of wetland networks in the Swiss lowlands 1850–2000 , 2011, Landscape Ecology.

[57]  J. Kozak,et al.  Uncertainty in Historical Land-Use Reconstructions with Topographic Maps , 2014 .

[58]  P. Hostert,et al.  Forest disturbances, forest recovery, and changes in forest types across the Carpathian ecoregion from 1985 to 2010 based on Landsat image composites , 2014 .

[59]  M. Herold,et al.  A high-resolution and harmonized model approach for reconstructing and analysing historic land changes in Europe , 2012 .

[60]  A. Affek.  Landscape continuity versus landscape transformation: a case study in the Wiar River catchment, Polish Carpathians (1780 - 2000) , 2014 .

[61]  M. Bürgi,et al.  264 years of change and persistence in an agrarian landscape: a case study from the Swiss lowlands , 2015, Landscape Ecology.

[62]  T. Plieninger,et al.  Land-use legacies in the forest structure of silvopastoral oak woodlands in the Eastern Mediterranean , 2011 .

[63]  Thomas Raddatz,et al.  A reconstruction of global agricultural areas and land cover for the last millennium , 2008 .

[64]  Rolf Böhme,et al.  Inventory of world topographic mapping , 1989 .

[65]  Markus Jobst,et al.  Preservation in Digital Cartography: Archiving Aspects , 2010, Preservation in Digital Cartography.

[66]  G. Strand.  The Norwegian area frame survey of land cover and outfield land resources , 2013 .

[67]  Lorenzo Fattorini,et al.  A three-phase sampling strategy for large-scale multiresource forest inventories , 2006 .

[68]  Javier Gallego,et al.  The European Land Use and Cover Area‐Frame Statistical Survey , 2010 .

[69]  Influences of Climate and Land Use History on Forest and Timberline Dynamics in the Carpathian Mountains During the Twentieth Century , 2013 .

[70]  A. Chavez,et al.  Path dependency and contingent causation in policy adoption and land use plans: The case of Southeastern Peru , 2013 .

[71]  X. Fang,et al.  Reconstruction of cropland cover changes in the Shandong Province over the past 300 years , 2015, Scientific Reports.

[72]  Kees Klein Goldewijk,et al.  Long-term dynamic modeling of global population and built-up area in a spatially explicit way: HYDE 3.1 , 2010 .

[73]  Jacek Kozak,et al.  Automatic detection of forest regions on scanned old maps , 2012 .