Multi-scaled identification of landscape character types and areas in Lushan National Park and its fringes, China

Yang, Diechuan; Chi, Gao; Li, Luyuan; Eetvelde, Veerle Van

doi:10.1016/j.landurbplan.2020.103844

Cited by 39 publications

(28 citation statements)

References 43 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Third, as pointed out by several authors (e.g. van Eetvelde and Antrop, 2009; Yang et al 2020), landscape-type maps addressing the material, observable landscape are well suited as a knowledge base for subsequent holistic ‘landscape character assessment ’ (LCA). LCA is defined as ‘a distinct, recognisable and consistent pattern of elements that make one landscape different from another, rather than better or worse’ (Swanwick 2002), or put in another way, ‘what gives an area of landscape its personality’ (Fairclough et al 2018).…”

Section: Discussionmentioning

confidence: 99%

Diversity and distribution of landscape types in Norway

Simensen

Erikstad

Halvorsen

2020

Preprint

View full text Add to dashboard Cite

Norwegian landscapes are changing at an increasingly rapid rate, and systematically structured information about observable landscape variation is required for knowledge-based management of landscape diversity. Here we present the first version of a complete, area-covering, evidence-based landscape-type map of Norway, simultaneously addressing geo-ecological, bio-ecological and land-use related variation at the landscape level. We do so by applying map algebra operations on publicly available geographical data sets with full areal coverage for Norway. The type system used in the mapping is supported by systematically structured empirical evidence. We present the results of the mapping procedure, including the geographical distribution and descriptive statistics (abundance and areal coverage) for each of the identified landscape types. We identify nine major landscape types based on coarse-scale landform variation and, within the six inland and coastal major types, 284 minor landscape types are defined based on the composition of geo-ecological, bio-ecological, and land use-related landscape properties. The results provide new insights into the geography of Norwegian marine, coastal and inland landscapes. We discuss potential errors, uncertainties and limitations of the landscape-type maps, and address the potential value of this new tool for research, management and planning purposes.

show abstract

Section: Discussionmentioning

confidence: 99%

Diversity and distribution of landscape types in Norway

Simensen

Erikstad

Halvorsen

2020

Preprint

View full text Add to dashboard Cite

show abstract

“…Urban-forest visual character (UFVC), or landscape visual character, is described as "a distinct, recognizable, and consistent pattern of urban-forest elements that makes one landscape different from another, rather than better or worse" [62][63][64]. Similarly, [65] defined UFVC as the presence, variety, and arrangement of urban-forest features that give the urban forest a specific identity and distinguish it from the surrounding area.…”

Section: Urban-forest Visual Charactermentioning

confidence: 99%

Aesthetic Quality Assessment of Landscapes as a Model for Urban Forest Areas: A Systematic Literature Review

Mundher

Bakar

Maulan

et al. 2022

Forests

View full text Add to dashboard Cite

Aesthetic experience in a forest can typically be associated with attractive forest scenery that gives people a sense of visual pleasure. Characterized as a visual product based on people’s reactions towards various combinations of landscape settings, features, and objects, this type of natural visual pleasure may benefit people’s well-being, promotes natural and cultural heritage preservation, and encourages the growth of the eco-tourism industry. While most research on forest aesthetics focuses on non-urban settings, this study examines aesthetics in the context of urban forests. This study aims to systematically review landscape aesthetic assessment studies to propose a model for urban forests. We conducted a systematic review of research articles published from 2014 to 2020 by using three research journal databases, Science Direct, Scopus, and MDPI. In total, 55 research articles were identified and qualified for review based on the screening requirements. An additional 26 research articles were also included by using the snowball method to provide better understanding and outcomes for the study. The results were organized into these categories: definitions, benefits, philosophies, approaches, and variables for the aesthetic quality assessment in urban forest areas. In addition, we also found that aesthetic quality in urban forests is highly influenced by visual composition, visual sense, and visual conditions, which have also been proven to be important parts of forest functions and values that could contribute towards the preservation of urban green spaces.

show abstract

“…LCA is applied in China to address both risk and development and provide special support for the planning of territorial spaces [13]. In recent years, many scholars have conducted studies on LCA [16,17]; however, a complete and systematic LCA method is still lacking. Existing studies mostly focus on provinces, cities, and rural areas that are delineated by administrative regions [16][17][18][19][20], while national-scale studies are absent.…”

Section: Introductionmentioning

confidence: 99%

Identifying Terrestrial Landscape Character Types in China

Pan

et al. 2022

Land

View full text Add to dashboard Cite

Landscape character assessment (LCA) is a widely used tool that integrates natural, cultural, and perceptual attributes to identify and portray landscape. In this study, we used the LCA method to identify the landscape characteristics of China at the national scale. Furthermore, we applied cultural and landscape structural factors along with spatial transmission to improve the identification system. First, we incorporated all the parameters in the assessment. We selected 15 landscape character factors from four factor types including nature, culture, spatial geographic co-ordinates, and landscape structure. These parameters were analysed using multilevel overlay and spatial connection tools in ArcGis 10.2, which resulted in 2307 landscape description units (LDUs). Second, the spatial structure properties of the LDUs were determined using a semivariogram and the moving window method in ArcGis 10.2 and Fragstats 4.2 software, respectively. Third, for visualisation, we applied the principal component analysis (PCA) using the SPSS software and elbow and k-means clustering methods using MATLAB to determine 110 landscape character types (LCTs) of China’s entire terrestrial landscape. Finally, we determined 1483 landscape character areas through semiautomatic segmentation and manual visual correction using eCognition. Based on the unique characteristics of the entire terrestrial landscape of China, a set of ideas and methods for the overall identification of LCTs was proposed. Our findings can be used to optimise territorial spatial planning and landscape protection and management, and promote multiscale land-use studies in China.

show abstract

Multi-scaled identification of landscape character types and areas in Lushan National Park and its fringes, China

Cited by 39 publications

References 43 publications

Diversity and distribution of landscape types in Norway

Diversity and distribution of landscape types in Norway

Aesthetic Quality Assessment of Landscapes as a Model for Urban Forest Areas: A Systematic Literature Review

Identifying Terrestrial Landscape Character Types in China

Contact Info

Product

Resources

About