Pub Date : 2023-08-22DOI: 10.2478/jlecol-2023-0010
K. Prakash, R. Jegankumar, Sheik Mohideen Abdul Rahaman, R. S. Libina, Subbiah Pothumani Dhanabalan
Abstract Understanding spatial and geometrical patterns of urbanization is crucial in tackling associated problems. As urbanization progresses through various stages of development, it reflects different forms, patterns, and interactions based on its physical and functional aspects. Spatial metrics is a well-acclaimed technique for quantifying urban morphological characteristics. The current study was conducted for Tiruchirappalli and six tier-urban centers located within a 40-kilometers radius to comprehend the comparative growth and spatial patterns. The urban centers are divided into eight zones based on direction for more precise quantification. The study employed Landsat 5 and 8 satellite images to classify land use/cover for the periods 1996, 2008, and 2020. FRAGSTAT is the software application used to analyze spatial metrics, at patch, class, and landscape levels. The study generated a significant amount of data about spatial and geometric patterns of growth. Area, edge, and aggregation metrics indicated that zones in Manachanallur, Manapparai, Musiri, Thiruverumbur, and Thuraiyur had protrusive urban growth during the study period. Transport networks have been the instrumental factor for such growth. Diversity metrics revealed Tiruchirappalli and Thiruverumbur have abundant patches of various classes in many of their zones since they retain patches like open, vegetation, and water bodies extensively. Shape metrics across all urban centers during the period 1996-2008 were more irregular in shape; it has become significantly smooth during 2008-2020 due to infill developments on the fringe areas. The period 1996-2008 recorded a huge transition of open areas into built-ups, attributing to infill development, especially inside the urban centers; similarly, during the period 2008-2020, edge expansion has been recorded widely across the urban centers. The current study is a significant contribution to urban research in understanding relative spatial and geometric patterns of urbanization.
{"title":"Analyzing Spatial and Geometrical Patterns of Tiruchirappalli and Tier-Urban Centers Using Spatial Metrics","authors":"K. Prakash, R. Jegankumar, Sheik Mohideen Abdul Rahaman, R. S. Libina, Subbiah Pothumani Dhanabalan","doi":"10.2478/jlecol-2023-0010","DOIUrl":"https://doi.org/10.2478/jlecol-2023-0010","url":null,"abstract":"Abstract Understanding spatial and geometrical patterns of urbanization is crucial in tackling associated problems. As urbanization progresses through various stages of development, it reflects different forms, patterns, and interactions based on its physical and functional aspects. Spatial metrics is a well-acclaimed technique for quantifying urban morphological characteristics. The current study was conducted for Tiruchirappalli and six tier-urban centers located within a 40-kilometers radius to comprehend the comparative growth and spatial patterns. The urban centers are divided into eight zones based on direction for more precise quantification. The study employed Landsat 5 and 8 satellite images to classify land use/cover for the periods 1996, 2008, and 2020. FRAGSTAT is the software application used to analyze spatial metrics, at patch, class, and landscape levels. The study generated a significant amount of data about spatial and geometric patterns of growth. Area, edge, and aggregation metrics indicated that zones in Manachanallur, Manapparai, Musiri, Thiruverumbur, and Thuraiyur had protrusive urban growth during the study period. Transport networks have been the instrumental factor for such growth. Diversity metrics revealed Tiruchirappalli and Thiruverumbur have abundant patches of various classes in many of their zones since they retain patches like open, vegetation, and water bodies extensively. Shape metrics across all urban centers during the period 1996-2008 were more irregular in shape; it has become significantly smooth during 2008-2020 due to infill developments on the fringe areas. The period 1996-2008 recorded a huge transition of open areas into built-ups, attributing to infill development, especially inside the urban centers; similarly, during the period 2008-2020, edge expansion has been recorded widely across the urban centers. The current study is a significant contribution to urban research in understanding relative spatial and geometric patterns of urbanization.","PeriodicalId":37671,"journal":{"name":"Journal of Landscape Ecology(Czech Republic)","volume":"0 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-08-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41545026","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Abstract Castor bean (Ricinus communis) indigenous to the southeastern Mediterranean basin, eastern Africa and India is a crop having various industrial and medicinal applications. It is helpful in crop rotation and replenishing the soil nutrients due to less water consumption. The current study explores the utility of Sentinel-2A satellite image for mapping and yield prediction of castor beans. Several classification methods viz. migrating means clustering, maximum likelihood classifier, support vector machine and artificial neural network are used for the classification and mapping of different landscape categories. The overall classification accuracy was achieved to be highest for artificial neural network (85.81 %) subsequently support vector machine (80.12 %), maximum likelihood classifier (74.23 %) and migrating means clustering (73.03 %). The yield prediction is performed using Sentinel-2A-derived indices namely Normalized Difference Vegetation Index and Enhanced Vegetation Index-2. Further, the cumulative values of these two indices are investigated for castor bean yield prediction using linear regression from July 2017 to April 2018 in different seasons (pre-monsoon, post-monsoon, and winter). The regression model provided (adj R2=0.75) value using EVI-2 compared to (adj R2=0.55) using NDVI for yield prediction of Ricinus communis crop in the winter season. The methodology adopted in this study can serve as an effective tool to map and predict the productivity of Ricinus communis. The adopted methodology may also be extended to a wider spatial level and for other significant crops grown in semi-arid regions of world.
{"title":"Mapping and Yield Prediction of Castor Bean (Ricinus communis) Using Sentinel-2A Satellite Image in a Semi-Arid Region of India","authors":"Ritesh Kumar, Narendra Singh Bishnoi, Nimish Narayan Gautam, Muskan, V. Mishra","doi":"10.2478/jlecol-2023-0008","DOIUrl":"https://doi.org/10.2478/jlecol-2023-0008","url":null,"abstract":"Abstract Castor bean (Ricinus communis) indigenous to the southeastern Mediterranean basin, eastern Africa and India is a crop having various industrial and medicinal applications. It is helpful in crop rotation and replenishing the soil nutrients due to less water consumption. The current study explores the utility of Sentinel-2A satellite image for mapping and yield prediction of castor beans. Several classification methods viz. migrating means clustering, maximum likelihood classifier, support vector machine and artificial neural network are used for the classification and mapping of different landscape categories. The overall classification accuracy was achieved to be highest for artificial neural network (85.81 %) subsequently support vector machine (80.12 %), maximum likelihood classifier (74.23 %) and migrating means clustering (73.03 %). The yield prediction is performed using Sentinel-2A-derived indices namely Normalized Difference Vegetation Index and Enhanced Vegetation Index-2. Further, the cumulative values of these two indices are investigated for castor bean yield prediction using linear regression from July 2017 to April 2018 in different seasons (pre-monsoon, post-monsoon, and winter). The regression model provided (adj R2=0.75) value using EVI-2 compared to (adj R2=0.55) using NDVI for yield prediction of Ricinus communis crop in the winter season. The methodology adopted in this study can serve as an effective tool to map and predict the productivity of Ricinus communis. The adopted methodology may also be extended to a wider spatial level and for other significant crops grown in semi-arid regions of world.","PeriodicalId":37671,"journal":{"name":"Journal of Landscape Ecology(Czech Republic)","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-08-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47238138","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-08-22DOI: 10.2478/jlecol-2023-0009
Petr Dujka, A. Kusbach
Abstract Zonal concept is a traditional approach in land assessment. Although its principles have been known for over a hundred years, they have not yet been thoroughly evaluated using modern analytical approaches. Assessing the empirically established parameters for characterising a zonal site, establishing threshold values of significant environmental factors, along with assessing the applicability of the zonal concept, were the goals of this study. The data analysed were obtained from the robust and objective Czech National Forest Inventory database. Regression, indirect ordination, hierarchical clustering and spatial analyses of geo-information systems were used. The study revealed seven crucial environmental factors: Slope, Slope Height, Terrain Surface Texture, Negative Openness, Multi-Resolution Index of Valley Bottom Flatness, Soil Type and Soil Subtype. A graphical model of zonal/azonal sites was constructed based on calculated threshold values of the factors. This methodic approach introduces significant geomorphological information that are otherwise problematically detectable in field mapping. We suggest it is possible to use the zonal concept as a base layer for general landscape assessment. Zonal site classification can become a part of a precise land management practice, consisting of valuable empiricism of traditional landscape ecological classifications enriched by modelling in disturbance ecology and prediction of climate change effects.
{"title":"Zonal Concept: Landscape Level Parameters and Application","authors":"Petr Dujka, A. Kusbach","doi":"10.2478/jlecol-2023-0009","DOIUrl":"https://doi.org/10.2478/jlecol-2023-0009","url":null,"abstract":"Abstract Zonal concept is a traditional approach in land assessment. Although its principles have been known for over a hundred years, they have not yet been thoroughly evaluated using modern analytical approaches. Assessing the empirically established parameters for characterising a zonal site, establishing threshold values of significant environmental factors, along with assessing the applicability of the zonal concept, were the goals of this study. The data analysed were obtained from the robust and objective Czech National Forest Inventory database. Regression, indirect ordination, hierarchical clustering and spatial analyses of geo-information systems were used. The study revealed seven crucial environmental factors: Slope, Slope Height, Terrain Surface Texture, Negative Openness, Multi-Resolution Index of Valley Bottom Flatness, Soil Type and Soil Subtype. A graphical model of zonal/azonal sites was constructed based on calculated threshold values of the factors. This methodic approach introduces significant geomorphological information that are otherwise problematically detectable in field mapping. We suggest it is possible to use the zonal concept as a base layer for general landscape assessment. Zonal site classification can become a part of a precise land management practice, consisting of valuable empiricism of traditional landscape ecological classifications enriched by modelling in disturbance ecology and prediction of climate change effects.","PeriodicalId":37671,"journal":{"name":"Journal of Landscape Ecology(Czech Republic)","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-08-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46461076","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Abstract Ethiopia harbour the Eastern afromontane and Horn of Africa hotspots of biodiversity. The general objective of this study was to investigate the floristic composition and diversity of species, the structure and the regeneration status of the Hurubu forest. Three parallel transects lines with 1 km length were systematically laid across the forest with an interval of 500 m in south to north direction. Thirty sample quadrants of 20 m × 20 m were placed along transects at an interval of 200 m for mature trees and shrubs, while for the purpose of seedling and sapling inventory, four sub-quadrants of 1 m × 1 m were laid at each corner of the main quadrant. A total of 32 woody species representing 25 families were recorded consisting of trees and shrubs. The lower storey consisted of all woody plant species, except Ekebergia capensis tree species. The middle storey consisted about 14.41 % of the tree species while the upper storey involved only 2.35 % of the total individual trees in the forest. The total basal area of woody plants in Hurubu forest was 90 m2 per ha. The three most important woody species with the highest IVI were Juniperus procera, Osyris quadripartite and Myrsine africana in decreasing order. The general regeneration status of the tree species of the study site was satisfactory at the community level showing a ‘fair’ regeneration status. Therefore, special conservation actions should be implemented for the poorly and not regenerating woody species of the forest.
{"title":"Floristic Composition, Structure, and Regeneration Status of Woody Plant Species in Hurubu Natural Forest, North Shewa, Oromia Region, Ethiopia","authors":"Hana Tamrat Gebirehiwot, Alemayehu Abera Kedanu, Abenezer Asmamaw Guangul, Megersa Adugna","doi":"10.2478/jlecol-2023-0005","DOIUrl":"https://doi.org/10.2478/jlecol-2023-0005","url":null,"abstract":"Abstract Ethiopia harbour the Eastern afromontane and Horn of Africa hotspots of biodiversity. The general objective of this study was to investigate the floristic composition and diversity of species, the structure and the regeneration status of the Hurubu forest. Three parallel transects lines with 1 km length were systematically laid across the forest with an interval of 500 m in south to north direction. Thirty sample quadrants of 20 m × 20 m were placed along transects at an interval of 200 m for mature trees and shrubs, while for the purpose of seedling and sapling inventory, four sub-quadrants of 1 m × 1 m were laid at each corner of the main quadrant. A total of 32 woody species representing 25 families were recorded consisting of trees and shrubs. The lower storey consisted of all woody plant species, except Ekebergia capensis tree species. The middle storey consisted about 14.41 % of the tree species while the upper storey involved only 2.35 % of the total individual trees in the forest. The total basal area of woody plants in Hurubu forest was 90 m2 per ha. The three most important woody species with the highest IVI were Juniperus procera, Osyris quadripartite and Myrsine africana in decreasing order. The general regeneration status of the tree species of the study site was satisfactory at the community level showing a ‘fair’ regeneration status. Therefore, special conservation actions should be implemented for the poorly and not regenerating woody species of the forest.","PeriodicalId":37671,"journal":{"name":"Journal of Landscape Ecology(Czech Republic)","volume":"16 1","pages":"85 - 104"},"PeriodicalIF":0.0,"publicationDate":"2023-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41396588","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-05-01DOI: 10.2478/jlecol-2023-0007
Hana Tamrat Gebirehiwot
Abstract Restoration activities in degraded and/or deforested forest landscapes are common and old occurrences around the world. Tree planting is common in most forest landscape restoration initiatives. In Ethiopia, eight seedling-based landscape restoration options are identified to alleviate land degradation and its consequences. The primary purpose of this work was to review factors affecting the early survival of tree and shrub seedlings and their remedies in the restoration sites of Ethiopia. Drought and moisture stress, low soil fertility, poor seedling quality, weak species site matching, termites, livestock grazing, and seasonal frost are the basic factors that hinder the survival and growth of seedlings in the field. In situ rainwater harvesting structures, fertilizer application, the use of quality seedlings, the right species site matching, and the exclusion of livestock and grazing animals from planted seedlings are the remedies that must be employed to increase the success of tree-based restoration practices. Thus, further investigation of the factors affecting the survival of seedlings in the out-planting sites and remediation accordingly is necessary to ensure the productivity and sustainability of restoration practices in Ethiopia.
{"title":"Review on Factors Affecting Early Survival of Tree /Shrub Seedlings and it’s Remedy in Restoration Sites of Ethiopia","authors":"Hana Tamrat Gebirehiwot","doi":"10.2478/jlecol-2023-0007","DOIUrl":"https://doi.org/10.2478/jlecol-2023-0007","url":null,"abstract":"Abstract Restoration activities in degraded and/or deforested forest landscapes are common and old occurrences around the world. Tree planting is common in most forest landscape restoration initiatives. In Ethiopia, eight seedling-based landscape restoration options are identified to alleviate land degradation and its consequences. The primary purpose of this work was to review factors affecting the early survival of tree and shrub seedlings and their remedies in the restoration sites of Ethiopia. Drought and moisture stress, low soil fertility, poor seedling quality, weak species site matching, termites, livestock grazing, and seasonal frost are the basic factors that hinder the survival and growth of seedlings in the field. In situ rainwater harvesting structures, fertilizer application, the use of quality seedlings, the right species site matching, and the exclusion of livestock and grazing animals from planted seedlings are the remedies that must be employed to increase the success of tree-based restoration practices. Thus, further investigation of the factors affecting the survival of seedlings in the out-planting sites and remediation accordingly is necessary to ensure the productivity and sustainability of restoration practices in Ethiopia.","PeriodicalId":37671,"journal":{"name":"Journal of Landscape Ecology(Czech Republic)","volume":"16 1","pages":"128 - 148"},"PeriodicalIF":0.0,"publicationDate":"2023-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48177092","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-05-01DOI: 10.2478/jlecol-2023-0004
Jana Stachová, D. Čermák
Abstract The study presented in this paper uses a representative sample of the Czech population to analyse the relationships between attitudes to trees and preferences for landscapes with trees. We ask whether a positive assessment of the environmental benefits of trees in general and old and dead trees in particular leads to preferences for close-to-nature forms of the tree landscape. The results show that tree landscape preferences are primarily affected by attitudes attached to trees, rather than by sociodemographic factors. People who appreciate the environmental benefits of trees are more likely to prefer transparent and organized landscapes with trees, whereas the more specific environmental attitude appreciating old or dead trees is reflected in higher preferences for wilderness-like landscapes. The results of our research suggest that the perceived environmental benefits of trees are anthropocentric in nature, in a way utilitarian; trees serve people and their environment, and not nature as such.
{"title":"Social Perception of Trees in the Landscape: The Connection Between Attitudes and Visual Preferences","authors":"Jana Stachová, D. Čermák","doi":"10.2478/jlecol-2023-0004","DOIUrl":"https://doi.org/10.2478/jlecol-2023-0004","url":null,"abstract":"Abstract The study presented in this paper uses a representative sample of the Czech population to analyse the relationships between attitudes to trees and preferences for landscapes with trees. We ask whether a positive assessment of the environmental benefits of trees in general and old and dead trees in particular leads to preferences for close-to-nature forms of the tree landscape. The results show that tree landscape preferences are primarily affected by attitudes attached to trees, rather than by sociodemographic factors. People who appreciate the environmental benefits of trees are more likely to prefer transparent and organized landscapes with trees, whereas the more specific environmental attitude appreciating old or dead trees is reflected in higher preferences for wilderness-like landscapes. The results of our research suggest that the perceived environmental benefits of trees are anthropocentric in nature, in a way utilitarian; trees serve people and their environment, and not nature as such.","PeriodicalId":37671,"journal":{"name":"Journal of Landscape Ecology(Czech Republic)","volume":"16 1","pages":"66 - 87"},"PeriodicalIF":0.0,"publicationDate":"2023-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44655093","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-05-01DOI: 10.2478/jlecol-2023-0003
I. Belčáková, A. Rácz, H. Ollerová, Lucia Spodniaková
Abstract The European cultural landscape and its traditional values represent a significant condition for recreation and tourism. However, we are aware of the negative consequences of human activity in the past years in rural areas and pay more attention to protecting these values. Modern rural recreation and tourism must be built on scientific background. That is why the presented contribution brings an innovative integrated approach to sustainable rural recreation and tourism model by applying landscape ecological planning methodology with a combination of ecological stability and landscape character assessment. It deals with the qualitative evaluation of the landscape potential of the foothill village of Podkonice in Slovakia and the possibilities of its use in sustainable rural tourism. Determining the potential in confrontation with different forms of tourism activities can help achieve a sustainable tourism concept. The main result of the presented research is the final optimal selection of activities and use of the landscape with regard to the development of tourism. Such a proposal can be used in spatial planning and strategic decision-making processes not only in the study area, but it can be applied in the European context.
{"title":"Sustainable Tourism Planning on Landscape Scale: Case Study from Slovakia (Central Europe)","authors":"I. Belčáková, A. Rácz, H. Ollerová, Lucia Spodniaková","doi":"10.2478/jlecol-2023-0003","DOIUrl":"https://doi.org/10.2478/jlecol-2023-0003","url":null,"abstract":"Abstract The European cultural landscape and its traditional values represent a significant condition for recreation and tourism. However, we are aware of the negative consequences of human activity in the past years in rural areas and pay more attention to protecting these values. Modern rural recreation and tourism must be built on scientific background. That is why the presented contribution brings an innovative integrated approach to sustainable rural recreation and tourism model by applying landscape ecological planning methodology with a combination of ecological stability and landscape character assessment. It deals with the qualitative evaluation of the landscape potential of the foothill village of Podkonice in Slovakia and the possibilities of its use in sustainable rural tourism. Determining the potential in confrontation with different forms of tourism activities can help achieve a sustainable tourism concept. The main result of the presented research is the final optimal selection of activities and use of the landscape with regard to the development of tourism. Such a proposal can be used in spatial planning and strategic decision-making processes not only in the study area, but it can be applied in the European context.","PeriodicalId":37671,"journal":{"name":"Journal of Landscape Ecology(Czech Republic)","volume":"16 1","pages":"38 - 65"},"PeriodicalIF":0.0,"publicationDate":"2023-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47516401","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-05-01DOI: 10.2478/jlecol-2023-0006
Madina Dwi Panuntun, E. Haryono, L. W. Santosa
Abstract Fragmentation impacts disconnecting protected areas in Gunungkidul Regency, namely Bunder Forest Park (BFP) and the Paliyan Wildlife Reserve (PWR). This also decreases the carrying capacity in PWR, degrading the Long-Tailed Macaque (LTM) habitat. Therefore, this research aims to analyze the landscape structure between Protected areas, the habitat suitability of LTM in Gunungkidul Regency, and determine connectivity potential as an environmental management strategy. applied for this research to investigates the structure and fragmentation using Fragstat 4.2 and ArcGIS 10.8 software. Meanwhile, scoring and weighting methods analyze the LTM habitat, while Least Cost Patch Analysis (LCPA) supported by ArcGIS 10.8 determine the corridor. The results showed that the research land cover changed from 1999-2021. Agriculture, scrubs, and settlements are the dominant land cover suspected to cause forest fragmentation. Based on the habitat suitability analysis using parameters such as land cover, vegetation density, slope, altitude, distance from the river, and sources of threats, most of the research area is intermediate habitat suitability class. These findings can be integrated to determine connectivity between protected areas as one of the environment management strategies. Good forest cover can be used to designate a corridor that has the greatest potential to be developed between BFP and PWR and should be maintained as a wildlife crossing.
{"title":"Finding the Corridor Potential Between Protected Areas in a Fragmented Landscape, Gunungkidul Regency, Indonesia","authors":"Madina Dwi Panuntun, E. Haryono, L. W. Santosa","doi":"10.2478/jlecol-2023-0006","DOIUrl":"https://doi.org/10.2478/jlecol-2023-0006","url":null,"abstract":"Abstract Fragmentation impacts disconnecting protected areas in Gunungkidul Regency, namely Bunder Forest Park (BFP) and the Paliyan Wildlife Reserve (PWR). This also decreases the carrying capacity in PWR, degrading the Long-Tailed Macaque (LTM) habitat. Therefore, this research aims to analyze the landscape structure between Protected areas, the habitat suitability of LTM in Gunungkidul Regency, and determine connectivity potential as an environmental management strategy. applied for this research to investigates the structure and fragmentation using Fragstat 4.2 and ArcGIS 10.8 software. Meanwhile, scoring and weighting methods analyze the LTM habitat, while Least Cost Patch Analysis (LCPA) supported by ArcGIS 10.8 determine the corridor. The results showed that the research land cover changed from 1999-2021. Agriculture, scrubs, and settlements are the dominant land cover suspected to cause forest fragmentation. Based on the habitat suitability analysis using parameters such as land cover, vegetation density, slope, altitude, distance from the river, and sources of threats, most of the research area is intermediate habitat suitability class. These findings can be integrated to determine connectivity between protected areas as one of the environment management strategies. Good forest cover can be used to designate a corridor that has the greatest potential to be developed between BFP and PWR and should be maintained as a wildlife crossing.","PeriodicalId":37671,"journal":{"name":"Journal of Landscape Ecology(Czech Republic)","volume":"16 1","pages":"105 - 127"},"PeriodicalIF":0.0,"publicationDate":"2023-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45196620","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-03-08DOI: 10.2478/jlecol-2023-0001
Diksha, Maya Kumari, R. Kumari
Abstract The land use and land cover (LULC) characteristics of Ghaziabad have experienced dynamic changes because of the city’s ongoing industrialization and urbanisation processes. These shifts can be directly attributed to human actions. These shifts can be directly attributed to human actions. Thermal variation in the study area necessitates LULC analysis. Landsat and Sentinel satellite data for 2011 and 2021 were used to map LULC, estimate land surface temperature (LST) and analysis spatial autocorrelation among the variables using ArcGIS software and the Google Earth Engine (GEE) cloud platform. A sharp descent is observed in the cropland while built-up area has increased during the study period. With the increase in the built-up surface in the area, the ambient temperatures have also increased from 18.70 °C in 2011 to 21.81 °C in 2021 leading to urban heat island effect. At all spatial scales, spatial autocorrelation is a characteristic property of most ecological parameters. The spatial clustering of LST in an ecosystem can play a crucial role in determining the dynamics of LULC.The Moran’s, I show that there is a considerable level of spatial autocorrelation in the values of LST and highly clustered pattern for both the years. Monitoring and understanding the surface thermal environment is crucial to discerning the causes of climate change.
{"title":"Spatiotemporal Characterization Of Land Surface Temperature In Relation Landuse/Cover: A Spatial Autocorrelation Approach","authors":"Diksha, Maya Kumari, R. Kumari","doi":"10.2478/jlecol-2023-0001","DOIUrl":"https://doi.org/10.2478/jlecol-2023-0001","url":null,"abstract":"Abstract The land use and land cover (LULC) characteristics of Ghaziabad have experienced dynamic changes because of the city’s ongoing industrialization and urbanisation processes. These shifts can be directly attributed to human actions. These shifts can be directly attributed to human actions. Thermal variation in the study area necessitates LULC analysis. Landsat and Sentinel satellite data for 2011 and 2021 were used to map LULC, estimate land surface temperature (LST) and analysis spatial autocorrelation among the variables using ArcGIS software and the Google Earth Engine (GEE) cloud platform. A sharp descent is observed in the cropland while built-up area has increased during the study period. With the increase in the built-up surface in the area, the ambient temperatures have also increased from 18.70 °C in 2011 to 21.81 °C in 2021 leading to urban heat island effect. At all spatial scales, spatial autocorrelation is a characteristic property of most ecological parameters. The spatial clustering of LST in an ecosystem can play a crucial role in determining the dynamics of LULC.The Moran’s, I show that there is a considerable level of spatial autocorrelation in the values of LST and highly clustered pattern for both the years. Monitoring and understanding the surface thermal environment is crucial to discerning the causes of climate change.","PeriodicalId":37671,"journal":{"name":"Journal of Landscape Ecology(Czech Republic)","volume":"16 1","pages":"1 - 18"},"PeriodicalIF":0.0,"publicationDate":"2023-03-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46003993","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-03-08DOI: 10.2478/jlecol-2023-0002
M. Plánka, V. Pechanec
Abstract Spatially oriented simulation models have not yet been applied to the territory of Beskydy Protected Landscape Area (PLA) to assess the state of biodiversity at a local scale. The CZ-GLOBIO model, which is adapted to the conditions of the Czech Republic, was used as a tool to assess habitat degradation using four selected drivers. The aim of the article is to apply the CZ-GLOBIO model for biodiversity status assessment in Beskydy PLA at the biotope level using detailed habitat data. The result of the application of the model is the evaluation of the state of biodiversity and the risk of its degradation using the Mean Species Abundance (MSA) index. Values are obtained for each segment as well as the average value for the entire territory. The results of biodiversity modelling are available by five maps and five tables with output Mean Species Abundance (MSA) values. Understanding the spatial distribution of the resulting MSA values contributes to the landscape-level habitat assessment of Beskydy PLA. This can serve as a basis for further policy decisions in the environmental field.
{"title":"Application of the CZ-Globio Model in Beskydy Protected Landscape Area","authors":"M. Plánka, V. Pechanec","doi":"10.2478/jlecol-2023-0002","DOIUrl":"https://doi.org/10.2478/jlecol-2023-0002","url":null,"abstract":"Abstract Spatially oriented simulation models have not yet been applied to the territory of Beskydy Protected Landscape Area (PLA) to assess the state of biodiversity at a local scale. The CZ-GLOBIO model, which is adapted to the conditions of the Czech Republic, was used as a tool to assess habitat degradation using four selected drivers. The aim of the article is to apply the CZ-GLOBIO model for biodiversity status assessment in Beskydy PLA at the biotope level using detailed habitat data. The result of the application of the model is the evaluation of the state of biodiversity and the risk of its degradation using the Mean Species Abundance (MSA) index. Values are obtained for each segment as well as the average value for the entire territory. The results of biodiversity modelling are available by five maps and five tables with output Mean Species Abundance (MSA) values. Understanding the spatial distribution of the resulting MSA values contributes to the landscape-level habitat assessment of Beskydy PLA. This can serve as a basis for further policy decisions in the environmental field.","PeriodicalId":37671,"journal":{"name":"Journal of Landscape Ecology(Czech Republic)","volume":"16 1","pages":"19 - 37"},"PeriodicalIF":0.0,"publicationDate":"2023-03-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47279452","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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