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

2020 ◽  
Vol 12 (7) ◽  
pp. 2810
Author(s):  
Barbara Sowińska-Świerkosz ◽  
Malwina Michalik-Śnieżek
Keyword(s):  
Protected Areas ◽  
National Parks ◽  
Remote Sensing Data ◽  
Data Sources ◽  
Spatial Unit ◽  
Problematic Issue ◽  
Landscape Quality ◽  
Different Levels ◽  
Selection Of

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.

scholarly journals Effectiveness of a confinement strategy for reducing campsite impacts in Shenandoah National Park

2004 ◽  
Vol 31 (4) ◽  
pp. 274-282 ◽  
Author(s):  
SCOTT E. REID ◽  
JEFFREY L. MARION
Keyword(s):  
Protected Areas ◽  
Adaptive Management ◽  
National Parks ◽  
National Park ◽  
Management Policy ◽  
Persistent Problem ◽  
Shenandoah National Park ◽  
Management Interventions ◽  
The Usa ◽  
Selection Of

The expansion and proliferation of backcountry campsites is a persistent problem in many parks and protected areas. Shenandoah National Park (SNP) has one of the highest backcountry overnight use densities in the USA national parks system. SNP managers implemented a multi-option backcountry camping policy in 2000 that included camping containment with established campsites. These actions were intended to reduce the number of campsites and the area of camping disturbance at each site. This paper describes a longitudinal adaptive management assessment of the new campsite policies, applying quantitative measures of campsite conditions to evaluate the efficacy of management interventions. Physical campsite measurements combined with qualitative visitor interviews indicated SNP had successfully reduced the number of campsites and aggregate measures of camping-related disturbance in the Park, while minimizing the use of regulations, site facilities and staff resources. Implications for managers of other protected areas are that an established site camping policy can minimize camping disturbance, including the number and size of campsites, provided managers can sustain rehabilitation efforts to close and restore unneeded campsites. Experiential attributes, such as the potential for solitude, can also be manipulated through control over the selection of established campsites. Integrating resource and social science methods also provided a more holistic perspective on management policy assessments. Adaptive management research provided a timely evaluation of management success while facilitating effective modifications in response to unforeseen challenges. Conclusions regarding the effectiveness of a visitor impact containment strategy involving an established site camping option are offered.

scholarly journals Mass tourism in protected areas – underestimated threat? Polish National Parks case study

2019 ◽  
Vol 11 (1) ◽  
pp. 1046-1060
Author(s):  
Krzysztof Widawski ◽  
Zdzisław Jary
Keyword(s):  
Protected Areas ◽  
National Parks ◽  
National Park ◽  
Point Of View ◽  
Mass Tourism ◽  
External Threats ◽  
Balanced Approach ◽  
Table Mountains ◽  
Tourist Flow

Abstract The article considers the tourist traffic as possible to elements of inanimate nature in protected areas. The highest form of protection in Poland - national parks, has been taken into account. The main goal is to diagnose the situation based on the analysis of official documents elaborated by the national park authorities. One of the important elements is to diagnose the threat to nature and indicate ways to neutralize it. At the beginning, the geotouristic potential of these parks was presented, where this type of resources is considered important from the point of view of tourism. The tourist function of the most important attractions in Poland was indicated. In the top ten there are as many as 4 national parks, including Tatrzański which takes first place. The size of tourist traffic in all 23 parks was analyzed. As a result, it was shown that the most popular, where tourist flow is of mass character, include mountain parks with significant geotouristic potential. Next, the current protection plans for them were analyzed: Tatrzański, Karkonoski, Table Mountains and Pieniński, where the annual tourist flow varies between 0.5 million and almost 4 million visitors per year. Threats were assigned to 4 groups: existing internal threats, potential internal threats, existing external threats and potential external threats. In each of the types of threats special attention was paid to those related to inanimate nature. It also indicated the ways in which park managers want to influence the change of negative trends. The basic conclusion was indicated, which boils down to the postulate of a balanced approach to the protection of both types of nature: animate and inanimate. In the case of animate nature, threats and suggestions for improving the situation seem to be much better diagnosed than in the case of inanimate nature.

scholarly journals Building a Knowledge Base for the Model

2021 ◽  
pp. 51-70
Author(s):  
Sarah Nurse ◽  
Jakub Bijak
Keyword(s):  
Research Process ◽  
Uncertainty Assessment ◽  
Data Sources ◽  
Migration Route ◽  
Data Types ◽  
Formal Modelling ◽  
Proposed Model ◽  
History Of ◽  
Selection Of

AbstractIn this chapter, after summarising the key conceptual challenges related to the measurement of asylum migration, we briefly outline the history of recent migration flows from Syria to Europe. This case study is intended to guide the development of a model of migration route formation, used throughout this book as an illustration of the proposed model-based research process. Subsequently, for the case study, we offer an overview of the available data types, making a distinction between the sources related to the migration processes, as well as to the context within which migration occurs. We then propose a framework for assessing different aspects of data, based on a review of similar approaches suggested in the literature, and this framework is subsequently applied to a selection of available data sources. The chapter concludes with specific recommendations for using the different forms of data in formal modelling, including in the uncertainty assessment.

scholarly journals Ecotourism for Eco Friendly Guest and Green Host - A Case Study on Thenmala Ecotourism Project, Kerala

1970 ◽  
Vol 3 (1) ◽  
pp. 36-47
Author(s):  
T A Binoy
Keyword(s):  
Protected Areas ◽  
National Parks ◽  
Local Community ◽  
Biological Diversity ◽  
Action Plan ◽  
Indigenous Communities ◽  
Environment Impact ◽  
Nature And Culture ◽  
Environment Impact Assessment

Ecotourism is a purposeful travel to understand the nature and culture of a particular area taking care not to alter the integrity of the ecosystem, while producing economic opportunities that make conservation of natural resources beneficial to the local people. Protected Areas such as national Parks, Biosphere Reserves and Wild Life Sanctuaries have figured prominently in biodiversity conservation and well-designed and managed Protected Areas can form the pinnacle of nation's efforts to protect biological diversity and also provide opportunities for recreation and tourism. Scientific studies show that planning ecotourism in Protected Areas as done in Thenmala ecotourism project, Kerala, first planned ecotourism project in India, which can be a model for other such destination development programmes. In Protected areas, developing forests as recreation spots can mitigate hardships of indigenous communities. This will provide monetary returns to thepublic exchequer, while protecting bio diverse patches with the support of the local community. For better planning and implementation of different components of ecotourism, zonalisation, site-specific action plan, reliable estimates of carrying. capacity and Environment Impact Assessment may be done in all the Protected Areas so as to avoid the ill effects of tourism. This research paper analyses and evaluates the methodology and typology of ecotourism practices at Thenmala, Kerala and proposing Thenmala as a model for the development of similar program in India

scholarly journals Ecological Health Assessment of Chinese National Parks Based on Landscape Pattern: A Case Study in Shennongjia National Park

2021 ◽  
Vol 18 (21) ◽  
pp. 11487
Author(s):  
Hang Shu ◽  
Chunwang Xiao ◽  
Ting Ma ◽  
Weiguo Sang
Keyword(s):  
Protected Areas ◽  
National Parks ◽  
Landscape Pattern ◽  
Index System ◽  
National Park ◽  
Ecosystem Health ◽  
Health Assessment ◽  
Landscape Patterns ◽  
Construction Land

Assessing the health of the ecosystem based on the landscape pattern of national parks can facilitate policy makers in formulating more targeted conservation policies to better manage national park ecosystems. To analyze the landscape patterns and characteristics of the national park, the ecosystem health evaluation index system of the national park was constructed using the vigor-organization-resilience (VOR) model to evaluate the health status. In this study, the Shennongjia National Park in China was selected as a case study area to be assessed using the index system. The results revealed that the patches of construction land and farmland are the largest in number and the most complex in shape, reflecting the obvious fragmentation of construction land and farmland patches. All patch types in this national park were evenly distributed. The results of the analysis showed that the comprehensive index of national park heath, according to the VOR model, is 0.74, indicating that the ecosystems in this study area were in a good state of health. Ecosystems in strictly protected areas of this park had the highest ecosystem health index levels, while the traditional utilization areas had the lowest. Ecosystem health levels were characterized by significant spatial agglomeration characteristics, with high-high aggregation distribution areas, mainly clustered in strictly protected areas, and low-low aggregation distribution, mainly clustered in traditional utilization areas and marginal areas. This study provided a set of ecosystem health assessment systems and their practical use in China’s newly established national parks.

scholarly journals Towards Dynamic Policy Instruments for Enhancing Biodiversity Conservation in National Parks: A Case Study on Bangladesh and Sarawak, Malaysia

1970 ◽  
Vol 7 (1) ◽  
pp. 11-30 ◽  
Author(s):  
Md Rahimullah Miah ◽  
Alexander Sayok ◽  
Ahi Sarok ◽  
Mohammad Belal Uddin
Keyword(s):  
Protected Areas ◽  
National Parks ◽  
Policy Instruments ◽  
Legal Aspects ◽  
Positive Sign ◽  
Key Factors ◽  
High Tendency ◽  
Dynamic Policy ◽  
Administrative Domains

Asia is the most populous region, with a substantial number of global biodiversity hotspots and several megadiverse countries, including Malaysia, with rich cultural and natural heritages. In this region, natural heritages within protected areas is under threat with high tendency of biodiversity losses. Exploitation is widespread but effective conservation is hampered by lack of systematically dynamic policies and instruments. This study attempts to relook at key factors that strengthen policies towards conserving biodiversity at national parks (NPs) in Bangladesh and Sarawak, Malaysia. It focuses on the analysis and review of the present tools (policy, growth of national parks and legal aspects) used to enhance conservation activities within and around these areas through literature review, observations of some of the parks, as well as interviews with relevant staff and indigenous community. The study showed that the growth of NPs maximized for the period of 2010 to 2014 both in Bangladesh and Sarawak, Malaysia reflecting the importance that both countries are placing on the conservation of biodiversity and the ecosystem services they provide. This is indeed a positive sign that both two countries reveal towards achieving Aichi Biodiversity Target 11 for the global protected areas network. Overall, the study suggests that the dynamic policy-based decision-making on sustainable biodiversity protection at NPs in both countries should incorporate development with environmental, economic, social, institutional and administrative domains.

scholarly journals Interpretable Recommendation via Attraction Modeling: Learning Multilevel Attractiveness over Multimodal Movie Contents

2018 ◽  
Author(s):  
Liang Hu ◽  
Songlei Jian ◽  
Longbing Cao ◽  
Qingkui Chen
Keyword(s):  
New Media ◽  
Categorical Data ◽  
State Of The Art ◽  
User Selection ◽  
Textual Data ◽  
Online Videos ◽  
Attraction Model ◽  
Different Levels ◽  
Selection Of

New contents like blogs and online videos are produced in every second in the new media age. We argue that attraction is one of the decisive factors for user selection of new contents. However, collaborative filtering cannot work without user feedback; and the existing content-based recommender systems are ineligible to capture and interpret the attractive points on new contents. Accordingly, we propose attraction modeling to learn and interpret user attractiveness. Specially, we build a multilevel attraction model (MLAM) over the content features -- the story (textual data) and cast members (categorical data) of movies. In particular, we design multilevel personal filters to calculate users' attractiveness on words, sentences and cast members at different levels. The experimental results show the superiority of MLAM over the state-of-the-art methods. In addition, a case study is provided to demonstrate the interpretability of MLAM by visualizing user attractiveness on a movie.

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