Ecosystem Spatial Changes and Driving Forces in the Bohai Coastal Zone

Cheng, Min; Huang, Binbin; Kong, Lingqiao; Ouyang, Zhiyun

doi:10.3390/ijerph16040536

Cited by 14 publications

(12 citation statements)

References 45 publications

(53 reference statements)

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“…The presented research results show the possibility of using the index to monitor transformations of protected areas. Other studies show that the indicator can be used for the analysis of transformations within suburban areas [19], highland and mountain areas [25], forest areas [34] or coastal areas [70], located in different countries, which confirms the wide possibilities of using the LCI. Based on cyclically collected data on land cover or satellite images, the indicator can also be used to assess the dynamics of landscape changes at the regional or national level.…”

Section: The Use Of Indicator Methods In Monitoring Landscape Changesmentioning

confidence: 64%

“…However, this is not the only source of data that can be used as a database for calculating the landscape change index. In other studies that use this index, the source data concerned different periods of time and were obtained on the basis of analyses of historical land cover maps [25] or analyses of aerial photographs, in the case of smaller scale areas [40], and satellite images for larger areas [70]. They also concerned different periods of time.…”

Section: The Use Of Indicator Methods In Monitoring Landscape Changesmentioning

confidence: 99%

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Monitoring of Landscape Transformations within Landscape Parks in Poland in the 21st Century

Krajewski

2019

Sustainability

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One of the most problematic forms of nature protection in Poland relates to landscape parks. They include the most valuable landscapes, but the areas within the landscape park still have economic uses. Therefore, the monitoring of landscape changes within landscape parks is necessary in order to properly manage these forms of protection. The main objective of the study was to monitor the scale and nature of landscape transformations within the boundaries of landscape parks in Poland during the period 2000–2018 and to assess the possibility of using the landscape change index (LCI) to monitor the intensity of landscape transformations within this type of protected area. Preliminary analyses of the transformations within all landscape parks in Poland showed an upward trend, both in terms of the number of types of identified landscape changes as well as their area. In spite of the large diversity and degree of transformation in landscape parks, several dominant processes can be observed. The largest number and area of changes during each of the analyzed periods were found in transformations within forest landscapes (temporary and permanent deforestation and forest maturation), which constitute the dominant type of land cover within most of the landscape parks. In open landscapes, changes mainly relate to afforestation and natural succession in meadows, pastures, and arable land, as well as the transformation of arable land into mining areas. Twelve case studies, covering all landscape parks in Lower Silesia, have shown that the LCI is an excellent tool for monitoring the intensity of landscape changes, but it is dependent on the accuracy of the source data. The analyses confirmed that, during the study periods, the changes in all 12 Lower Silesian landscape parks were at a low level, but their particular intensification took place in the years from 2012 to 2018. The highest LCI was found in the area where a natural disaster had occurred (air tornado), which destroyed huge areas of forest in landscape parks. After changes in the forest landscape, the most frequently identified type of change in 2006–2012 was the transformation of non-forest landscapes into forest landscapes. The main reason for such changes was the expansion of forest into abandoned arable land, meadows, and pastures. The use of the Corine Land Cover database to calculate the LCI and monitor the intensity of landscape change revealed a low usability of the database for the year 2000 and a high usability for data from 2006 to 2018.

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Section: The Use Of Indicator Methods In Monitoring Landscape Changesmentioning

confidence: 64%

Section: The Use Of Indicator Methods In Monitoring Landscape Changesmentioning

confidence: 99%

Monitoring of Landscape Transformations within Landscape Parks in Poland in the 21st Century

Krajewski

2019

Sustainability

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show abstract

“…The presented research results show the possibility of using the index to monitor transformations of protected areas. Other studies show that the indicator can be used for the analysis of transformations within suburban areas [19], highland and mountain areas [25], forest areas [33] or coastal areas [70], located in different countries, which confirms the wide possibilities of using the LCI. Based on cyclically collected data on land cover or satellite images, the indicator can also be used to assess the dynamics of landscape changes at the regional or national level.…”

Section: The Use Of Indicator Methods In Monitoring Landscape Changesmentioning

confidence: 64%

Monitoring of Landscape Transformations within Landscape Parks in Poland in the 21st century

Krajewski¹

2019

Preprint

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One of the most problematic forms of nature protection in Poland relates to landscape parks. On the one hand, they include the most valuable landscapes; on the other hand, the areas within the landscape park still have economic uses. Therefore, the monitoring of landscape changes within landscape parks is necessary in order to properly manage these forms of protection. The main objective of the study was to monitor the scale and nature of landscape transformations within the boundaries of landscape parks in Poland during the period 2000–2018 and to assess the possibility of using the landscape change index (LCI) to monitor the intensity of landscape transformations within this type of protected area. Filling a gap in the research on landscape changes, I developed and verified the possibility of using LCI for monitoring the intensity of landscape changes using the example of 12 landscape parks in the Lower Silesia region. Preliminary analyses of the transformations within all landscape parks in Poland showed an upward trend, both in terms of the number of types of identified landscape changes as well as their area. In spite of the large diversity and degree of transformation in landscape parks, several dominant processes can be observed. The largest number and area of changes during each of the analyzed periods were found in transformations within forest landscapes (temporary and permanent deforestation and forest maturation), which constitute the dominant type of land cover within most of the landscape parks. In open landscapes, changes mainly relate to afforestation and natural succession in meadows, pastures and arable land, as well as the transformation of arable land into mining areas. Twelve case studies, covering all landscape parks of the Lower Silesia, have shown that the LCI is an excellent tool for monitoring the intensity of landscape changes, but it is dependent on the accuracy of the source data. The analyses confirmed that, during the study periods, the changes in all 12 Lower Silesian landscape parks were at a low level, but their particular intensification took place in the years 2012–2018. The highest LCI was found in the area where a natural disaster had occurred (air tornado), which destroyed huge areas of forest in landscape parks. After changes in the forest landscape, the most frequently identified type of change in 2006–2012 is the transformation of non-forest landscapes into forest landscapes. The main reason for such changes was the expansion of forest into abandoned arable land, meadows and pastures. The use of the Corine Land Cover database to calculate LCI and monitor the intensity of landscape change revealed a low usability of the database for the year 2000 and a high usability for data from 2006–2018.

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“…Some studies have shown that climate change was important factor affecting ESV [28][29][30]. The above researches can draw preliminary qualitative or quantitative conclusions that meteorological factors have influence on ESV.…”

Section: Discussionmentioning

confidence: 96%

Influence of meteorological factors on ecosystem services value: a case study of Beijing-Tianjin-Hebei region, China

et al. 2020

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Meteorological factors are one of the natural factors, which affect ecosystem services value (ESV). Influence of meteorological factors was studied in Beijing-Tianjin-Hebei region using ordinary least square (OLS) with geographical weighted regression (GWR). The main aim of this study was to reveal the differences in the influence mechanism at the global and local levels. The main meteorological factors influencing ESV were temperature and precipitation, followed by humidity. Days with annual daily precipitation≥0.1mm, annual minimum precipitation and annual average relative humidity were three important meteorological factors. Annual temperature range, annual minimum precipitation, days with annual daily precipitation≥0.1mm, in particular, the last one had an obvious positive effect. The positive and negative effects of annual average relative humidity were coexisting, and the negative effect was the main. It was obvious that the spatial distribution characteristics of the local influence mechanism. The local model of GWR can better solve the spatial non-stationarity of the dependent and independent variables, thus it was better than the global model of OLS. The results also provide detailed field information on the different effects of meteorological factors at different locations.E3S Web of Conferences 158, 06003 (2020)

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Ecosystem Spatial Changes and Driving Forces in the Bohai Coastal Zone

Cited by 14 publications

References 45 publications

Monitoring of Landscape Transformations within Landscape Parks in Poland in the 21st Century

Monitoring of Landscape Transformations within Landscape Parks in Poland in the 21st Century

Monitoring of Landscape Transformations within Landscape Parks in Poland in the 21st century

Influence of meteorological factors on ecosystem services value: a case study of Beijing-Tianjin-Hebei region, China

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