Directions of landscape change (1741–1993) in Virestad, Sweden — characterised by multivariate analysis

Skånes, Helle; Bunce, R. G. H.

doi:10.1016/s0169-2046(97)00019-4

Cited by 89 publications

(45 citation statements)

References 9 publications

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“…Combinations of pollen-based reconstructions of past landscape, including the LRA-and QAD-based approaches, together with the historical maps enabled us to evaluate the reliability of the local vegetation and land-use estimates (Berglund 1991;Nielsen 2004;Dahlström 2008;Hellman et al 2009b). Historical maps and aerial photographs were invaluable to describe spatiotemporal dynamics of land-use patterns in detail, for a better understanding of the effects of the past land-use practices on the modern landscape (Skånes and Bunce 1997;Cousins 2001;Johansson et al 2008). On the other hand the historical maps are restricted to specific periods and cannot provide a continuous record of land-use and vegetation (Dahlström 2008).…”

Section: Implications For Long-term Environmental Analysesmentioning

confidence: 99%

Two hundred years of land-use change in the South Swedish Uplands: comparison of historical map-based estimates with a pollen-based reconstruction using the landscape reconstruction algorithm

Mazier

Broström

Bragée

et al. 2015

Veget Hist Archaeobot

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Section: Implications For Long-term Environmental Analysesmentioning

confidence: 99%

Two hundred years of land-use change in the South Swedish Uplands: comparison of historical map-based estimates with a pollen-based reconstruction using the landscape reconstruction algorithm

Mazier

Broström

Bragée

et al. 2015

Veget Hist Archaeobot

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“…This means that, on a regional scale, differences in LC structure are becoming bigger, a phenomenon that has also been noted for units of territorial administration in Poland (Łowicki 2008b;Solon 2011). Those changes may be set against opinions as to the simplification of landscape structure (Lipsky 1995; Skanes & Bunce 1997).…”

Section: Discussionmentioning

confidence: 99%

Typology of physical-geographical regions in Poland in line with land-cover structure and its changes in the years 1990-2006

Łowicki¹,

Mizgajski²

2013

Geogr. Pol.

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The authors used a division of Poland into physical-geographical regions to present diversity in terms of land cover, and to distinguish a typology of natural units (mesoregions), in terms of both the nature of the said cover in 2006, and changes in that cover over the two time intervals 1990-2000 and 2000-2006. Individual mesoregions were assigned to the different types in regard to the two periods, this making it possible to illustrate the regional distribution of land-cover changes in Poland, with account taken of stability on the one hand, or changes as regards trends on the other. The results obtained may provide objective premises for the selection of representative spatial units in geographical, as well as landscape or ecological, research. Key wordsland-cover changes • division into physical-geographical regions • regional divisions • Corine Land Cover • Poland

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“…PCA produces correlations between variables by identifying hidden patterns in data and classifying them according to how much of the information is stored in the data they account for [30]. PCA has been used in literatures to analyze land-cover changes and land-use change drivers [31,32]. Eleven potential land-use drivers (population, distance to market, distance to road, slope, distance to settlement, elevation, livestock, soil type, precipitation, distance to forest edge) and distance to water sources were identified as input to the PCA analysis.…”

Section: Land-use Change Driversmentioning

confidence: 99%

Land-Use Change Modelling in the Upper Blue Nile Basin

et al. 2016

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Land-use and land-cover changes are driving unprecedented changes in ecosystems and environmental processes at different scales. This study was aimed at identifying the potential land-use drivers in the Jedeb catchment of the Abbay basin by combining statistical analysis, field investigation and remote sensing. To do so, a land-use change model was calibrated and evaluated using the SITE (SImulation of Terrestrial Environment) modelling framework. SITE is cellular automata based multi-criteria decision analysis framework for simulating land-use conversion based on socio-economic and environmental factors. Past land-use trajectories were evaluated using a reference Landsat-derived map (agreement of 84%). Results show that major land-use change drivers in the study area were population, slope, livestock and distances from various infrastructures (roads, markets and water). It was also found that farmers seem to increasingly prefer plantations of trees such as Eucalyptus by replacing croplands perhaps mainly due to declining crop yield, soil fertility and climate variability. Potential future trajectory of land-use change was also predicted under a business-as-usual scenario (2009)(2010)(2011)(2012)(2013)(2014)(2015)(2016)(2017)(2018)(2019)(2020)(2021)(2022)(2023)(2024)(2025). Results show that agricultural land will continue to expand from 69.5% in 2009 to 77.5% in 2025 in the catchment albeit at a declining rate when compared with the period from 1986 to 2009. Plantation forest will also increase at a much higher rate, mainly at the expense of natural vegetation, agricultural land and grasslands. This study provides critical information to land-use planners and policy makers for a more effective and proactive management in this highland catchment.

show abstract

Directions of landscape change (1741–1993) in Virestad, Sweden — characterised by multivariate analysis

Cited by 89 publications

References 9 publications

Two hundred years of land-use change in the South Swedish Uplands: comparison of historical map-based estimates with a pollen-based reconstruction using the landscape reconstruction algorithm

Two hundred years of land-use change in the South Swedish Uplands: comparison of historical map-based estimates with a pollen-based reconstruction using the landscape reconstruction algorithm

Typology of physical-geographical regions in Poland in line with land-cover structure and its changes in the years 1990-2006

Land-Use Change Modelling in the Upper Blue Nile Basin

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