Index of Landscape Disharmony (ILDH) as a new tool combining the aesthetic and ecological approach to landscape assessment

Sowisska-swierkosz, Barbara

doi:10.1016/j.ecolind.2016.05.038

Cited by 36 publications

(23 citation statements)

References 36 publications

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“…Semi-natural LC forms include transformed water, peat-bogs and meadows and economy forests. Anthropogenic LC forms type 1 include fields and orchards, and type 2 areas without vegetation, i.e., buildings and roads [10,31]. As LC forms perceive as positive for LQ by the majority of people were treated: Water, natural and semi-natural forms of vegetation; as negative for LQ: Buildings and road infrastructure [32].…”

Section: Calculation Of Indicator Set Nomentioning

confidence: 99%

“…The most difficult task in LQ research is the assessment of the aesthetic sphere of landscape quality [31]. Many researchers state that the beauty is in the eyes of the beholder, and as a result, our judgement of a particular landscape scene is a result of two factors: Personal characteristics (e.g., cultural and educational background) and particular condition of assessment (weather conditions, sensory quality, our physical and mental state at this moment).…”

Section: Introductionmentioning

confidence: 99%

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The Methodology of Landscape Quality (LQ) Indicators Analysis Based on Remote Sensing Data: Polish National Parks Case Study

Sowińska-Świerkosz

Michalik-Śnieżek

2020

Sustainability

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Landscape quality (LQ) encompasses diverse characteristic of the natural and cultural environment. The most effective tool to analyze LQ is the use of indicators. The main problem in the assessment of LQ is not the lack of indicators, but its multitude. That is why, the indicators’ categorization is a problematic issue. The paper aims to introduce and test the methodology for selecting the suitable indicators based on the example of two national parks located in the south-east part of Poland. The method composed of the following stages: (1) Selection of spatial units being analyzed; (2) selection of indicators type(s); (3) selection of specific indicators; (4) calculation of indicator set no 1; (5) analysis of the correlation between indicators’ pairs; (6) selection of a final set of indicators; (7) analysis of effectiveness. The latter stage, refers to the statistical analysis of significance between results obtained dependently on the data sources, a spatial unit of analysis and analyzed regions. The results showed that the categorization composed of ten, mainly composite indicators, can be applied to conclude on different levels of LQ of protected areas. The differences between two analyzed data sources, different spatial units, as well as diverse regions, occurred to be statistically insignificant. Generally, the results of the effectiveness analysis showed that a final categorization of LQ indicators is adequate to conclude on the diverse dimensions of LQ of analyzed protected areas.

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Section: Calculation Of Indicator Set Nomentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

The Methodology of Landscape Quality (LQ) Indicators Analysis Based on Remote Sensing Data: Polish National Parks Case Study

Sowińska-Świerkosz

Michalik-Śnieżek

2020

Sustainability

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“…To unite landscapes into groups, it is necessary to identify indicators characterizing landscapes according to their ecological condition [14][15][16][17][18][19][20][21][22]. In our case, the main criteria were soil suitability for forest growth (dominance of the group of soil suitability for forest growth in the landscape), protective forest cover of arable land, plough-disturbance, indices of degradation of agricultural lands (erosion, deflation and salinization) [23].…”

Section: Materials and Methods (Model)mentioning

confidence: 99%

Assessment of the Ecological Condition of Landscapes of the Volgograd Trans-Volga Region

Кошелев¹,

Tkachenko²

2020

Proceedings of the IV International Scientific and Practical Conference 'Anthropogenic Transformation of Geospace: Nature, Econ

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the article analyses the main reasons for decrease in productivity and ecological stability of agricultural landscapes in the Volgograd Trans-Volga region: plowing of virgin lands, haphazard mode of pasture lands use, unsustainable agricultural land use, lack of forest reclamation measures. Authors define adaptive landscape approach to nature management. They showed the role of protective afforestation in stabilization and improvement of ecological situation in the territory. The paper presents the method of complex assessment of combined impact of natural and anthropogenic factors on landscapes condition of the Volgograd Trans-Volga region. The main criteria were as follows: soil suitability for forest growth (dominance of the group of soil suitability for forest growth in the landscape), protective forest cover of arable land, plough-disturbance, indices of agricultural land degradation (erosion, deflation and salinization). The method of zoning of ecological conditions by B. V. Vinogradov was considered as the basis for characteristics of landscapes environmental distress according to the following categories: norm, risk, crisis and disaster. The article revealed that the most part of landscapes of the Trans-Volga region (that makes 66.7%) is at a crisis stage, disaster-28%. Category of norm accounts for 1.2%, at risk-4.1% of the area of agricultural land in landscapes. On the basis of GIS technologies and previously developed original thematic maps (landscape, soil, forest reclamation, etc.) for the study region, the final map of ecological condition of landscapes of the Trans-Volga region was constructed. When optimizing the structure of farmland, first of all, it is necessary to focus on forest reclamation measures that will ensure the agroecological stability of landscapes, reducing the damage from anthropogenic impact on the territory. Authors suggest recommendations for planting protective forest plantations depending on the forest conditions of the territory and the ecological condition of the landscapes.

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“…The experts were asked to perform pairwise comparisons on the importance of different residential areas and different levels of roads and generate respective evaluation values, as shown in Table 1; other areas were valuated at 0. [31,53,54]. Three indices (i.e., area (AREA), fractal dimension index (FRAC), and proximity (PROX)), were selected to construct the VU (vegetation uniformity) or CD (color diversity) index using the following formulas: In which a ij is the area of the patch; p ij is the perimeter of the patch; a ijs is the area of patch ijs of the specific neighborhood of patch ij (m 2 ); and h ijs is the distance between patch ijs and ijs.…”

Section: Calculation and Mapping Of Sub-criteriamentioning

confidence: 99%

GIS-Based Multi-Criteria Assessment and Seasonal Impact on Plantation Forest Landscape Visual Sensitivity

Yang

Zhang

et al. 2019

Forests

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Visual sensitivity assessments identify the location of the high-sensitivity areas in terms of visual change. Studying the visual sensitivity of plantation forest landscapes and their seasonal changes can help resolve increasingly frequent conflicts between tourism and forest management activities, in the context of the multi-functional management of plantation forests. In this study, we used the geographic information system (GIS) and multi-criteria evaluation (MCE) methods combined with the analytic hierarchy process (AHP) to perform a visual sensitivity evaluation. Nine map-based criteria were selected, and the visual sensitivity of summer and autumn values were calculated, using data from sources including inventory data for forest management planning and design, digital elevation model (DEM), and aerial photographs. Vegetation uniformity (VU) and color diversity (CD) indices were constructed using three patch-level-based landscape indices, including area (AREA), fractal dimension index (FRAC), and proximity (PROX), to visualize the summer and autumn vegetation characteristics of a plantation forest landscape. We conducted a case study on the Saihanba Mechanical Forest Plantation, China’s largest forest plantation. The results were evaluated by experts, confirming the method to be reliable. This study provides an accurate, objective, and visualized evaluation method for the visual sensitivity of plantations for forest management units at the landscape scale. In analyzing the visual sensitivity of plantation forest landscapes, appropriate criteria, e.g., uniformity or diversity should be selected based on forest vegetation characteristics. When identifying high-sensitivity regions, it is necessary to simultaneously analyze areas with high visual sensitivity in different seasons and then superimpose the results.

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Index of Landscape Disharmony (ILDH) as a new tool combining the aesthetic and ecological approach to landscape assessment

Cited by 36 publications

References 36 publications

The Methodology of Landscape Quality (LQ) Indicators Analysis Based on Remote Sensing Data: Polish National Parks Case Study

The Methodology of Landscape Quality (LQ) Indicators Analysis Based on Remote Sensing Data: Polish National Parks Case Study

Assessment of the Ecological Condition of Landscapes of the Volgograd Trans-Volga Region

GIS-Based Multi-Criteria Assessment and Seasonal Impact on Plantation Forest Landscape Visual Sensitivity

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