Change trajectories and key biotopes—Assessing landscape dynamics and sustainability

Käyhkö, Niina; Skånes, Helle

doi:10.1016/j.landurbplan.2005.02.011

Cited by 69 publications

(49 citation statements)

References 55 publications

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“…Consequently, these tools inform landscape modifications across time [29,30,31]. Finally, by combining qualitative and indicator-based comparisons, spatial patterns and ecological processes are quantified and an assessment of the integrity of a landscape [32] is attained.…”

Section: Gullino Et Al Marigani Et Al and Käyhkö Et Al Has Each mentioning

confidence: 99%

Integrity in UNESCO World Heritage Sites. A comparative study for rural landscapes

Gullino

Larcher

2013

Journal of Cultural Heritage

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Since 2005, Outstanding Universal Value (OUV) is the standard by which United Nations Educational Scientific and Cultural Organization (UNESCO) evaluates world cultural heritage site suitability. The sites worthy of UNESCO preservation as well as the parameters used to demonstrate OUV are diverse. Our study focused on the uniquely distinguished rural landscape sites and the OUV parameter of integrity. Integrity however, is an elusive concept for which UNESCO provides no definitional protocol, and for which the scientific

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Section: Gullino Et Al Marigani Et Al and Käyhkö Et Al Has Each mentioning

confidence: 99%

Integrity in UNESCO World Heritage Sites. A comparative study for rural landscapes

Gullino

Larcher

2013

Journal of Cultural Heritage

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“…Since landscape change has deep roots in the past, ecological processes must be viewed in a historical context. The past also is a reference point not only for understanding the present landscape, but for planning or predicting the future (Käyhkö and Skånes 2006). Long-term study of past processes is important, because it can reveal continuity, interactions, turnover and degree of change at different levels, from within-community patch dinamics to landscape scale processes (Pickett and White 1985, Cale et al 1989, Anand and Heil 2000, Antrop 2005, Orlóci 2009).…”

Section: Introductionmentioning

confidence: 99%

“…One of the most important and frequently applied methods for studying landscape transitions is change detection (CHD) analysis, which is based on transition matrixes derived from land-cover change statistics (Cousins 2001, Käyhkö and Skånes 2006, Ichikawa et al 2006, Ojeda-Revah et al 2008, Mikusinska et al 2013. The other method used widely is the identification of landscape change trajectories (Käyhkö and Skånes 2006, Swetnam 2007, Orczewska 2009, Ruiz and Domon 2009, Frondoni et al 2011.…”

Section: Introductionmentioning

confidence: 99%

“…The other method used widely is the identification of landscape change trajectories (Käyhkö and Skånes 2006, Swetnam 2007, Orczewska 2009, Ruiz and Domon 2009, Frondoni et al 2011. Landscape change trajectory analysis focuses more on processes than states or patterns (Kayhkö and Skånes 2006).…”

Section: Introductionmentioning

confidence: 99%

“…Landscape change trajectory analysis focuses more on processes than states or patterns (Kayhkö and Skånes 2006). The use of trajectories allows for a more qualitative representation of spatial data, where areas with the same land-cover class today can be thematically separated due to different land-use and land-cover history (Käyhkö and Skånes 2006). The analysis requires at least three points of time and is more complicated owing to the necessary grouping of change trajectories.…”

Section: Introductionmentioning

confidence: 99%

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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

et al. 2013

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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 habitatspecific 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 km 2 , 360 random points; local, 23 km 2 , 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. Habitatspecific 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 different periods. 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 19 th century, and remained arable fields until present. Fifty percent of the regional trajectories of 18 th 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.

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Tracking three decades of land use and land cover transformation trajectories in China's large river deltas

Bai

et al. 2019

Land Degrad Dev

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Large river deltas are characterized by complicated land use/land cover (LULC) dynamics driven by intertwined natural and anthropogenic processes. Understanding spatiotemporal LULC dynamics associated with multiple drivers can help mitigate the adverse ecological impacts resulting from human activities. This research tracked spatiotemporal LULC trajectories in relation to multiple natural and anthropogenic driving processes and explored their correlations within four large river deltas (the Liaohe River Delta [LRD], Yellow River Delta [YRD], Yangtze River Delta [YtRD], and Pearl River Delta [PRD]) in China from 1980 to 2010. The results showed that the coastal wetlands had undergone transformations with 39% in LRD, 85.1% in YRD, 96.5% in YtRD, and 100% in PRD, respectively. The LULC transformations were linked with six major driving processes (accretion, erosion, reclamation, restoration, succession, and regressive succession) and were impacted by complex coupled effects between natural and anthropogenic drivers. Reclamation‐related LULC transformation types dominated in the four river deltas and had greater spatiotemporal interactions than the other driving processes. Reclamation and restoration as well as accretion and erosion showed high positive correlations in all four river deltas, but other pairwise correlations of driving processes presented regional variations. This study presents an overview of the patterns and processes of complex multitemporal LULC dynamics and can be replicated elsewhere in areas where land reclamation activities are entangled with natural processes. A ‘scrolling’ development pattern with reasonable magnitudes of land reclamation for the river deltas is proposed as a spatial strategy to minimize the adverse ecological impacts of human activity.

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Change trajectories and key biotopes—Assessing landscape dynamics and sustainability

Cited by 69 publications

References 55 publications

Integrity in UNESCO World Heritage Sites. A comparative study for rural landscapes

Integrity in UNESCO World Heritage Sites. A comparative study for rural landscapes

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

Tracking three decades of land use and land cover transformation trajectories in China's large river deltas

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