Landscape structural analysis of the Lençóis Maranhenses national park: implications for conservation

Amaral, Yuri Teixeira; Santos, Edyane Moraes dos; Ribeiro, Milton Cézar; Barreto, Larissa

doi:10.1016/j.jnc.2019.125725

Cited by 29 publications

(14 citation statements)

References 55 publications

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“…This finding has been reported by other researchers [6,12,17,5]. It derives from the character of the test area: national parks are delineated due to the outstanding ecological and landscape values and, in most of the cases, due to the protected actions, they (values) are preserved for the long time [18]. Quite surprising outcome are low cultural heritage values.…”

Section: Discussionsupporting

confidence: 77%

Landscape indicators as a tool of assessing landscape quality

Sowińska-Świerkosz

Michalik-Śnieżek

2020

E3S Web Conf.

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Landscape quality (LQ) is understood as the state in which its (landscape) spatial, functional and visual structure is found at a given time. To measure this landscape characteristic different research methods and data types are needed including GIS techniques and remote sensing data as well as interviews and questionnaires, results of social perception studies, analysis of documents, registers and statistical data, landscape visual studies and 3D drawings. Presented study aims to fully analyze the LQ of the Roztocze region based on above mentioned methods. To do so, the categorization of 24 quantitative indices was applied. Results indicated high structural and ecological values, medium visual values and values of spatial harmony and low cultural and perceptual properties of analyzed area. The study results also showed the great importance of spatial data and GIS techniques in LQ assessment.

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Section: Discussionsupporting

confidence: 77%

Landscape indicators as a tool of assessing landscape quality

Sowińska-Świerkosz

Michalik-Śnieżek

2020

E3S Web Conf.

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“…The similar analysis conducted in relation to different types of Polish protected areas also showed that the landscape quality of national parks is substantially higher than of other forms of nature protection [51]. Generally, the high effectiveness of landscape metrics to reflect the structural and ecological quality of protected areas was proven by many studies, both to conclude on the general level of quality [52], as well as on selected layers of ecological state, such as naturalness or wetland loss and fragmentation [53].…”

Section: Landscape Quality Of Test Areasmentioning

confidence: 75%

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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“…Barreto et al [88] set a hexagonal grid to represent classes of natural Cerrado vegetation in the the Northeast of Brazil, in an area of about 25,590 km 2 , to study the remaining habitats through quantitative indices. More recently, Amaral et al [89], used a hexagonal grid subdivided into 1000 ha units to study the restinga (a type of coastal vegetation) in Northern Brazil.…”

Section: Discussionmentioning

confidence: 99%

Detection of Longhorned Borer Attack and Assessment in Eucalyptus Plantations Using UAV Imagery

Duarte¹,

Acevedo-Muñoz²,

Gonçalves³

et al. 2020

Remote Sensing

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Eucalyptus Longhorned Borers (ELB) are some of the most destructive pests in regions with Mediterranean climate. Low rainfall and extended dry summers cause stress in eucalyptus trees and facilitate ELB infestation. Due to the difficulty of monitoring the stands by traditional methods, remote sensing arises as an invaluable tool. The main goal of this study was to demonstrate the accuracy of unmanned aerial vehicle (UAV) multispectral imagery for detection and quantification of ELB damages in eucalyptus stands. To detect spatial damage, Otsu thresholding analysis was conducted with five imagery-derived vegetation indices (VIs) and classification accuracy was assessed. Treetops were calculated using the local maxima filter of a sliding window algorithm. Subsequently, large-scale mean-shift segmentation was performed to extract the crowns, and these were classified with random forest (RF). Forest density maps were produced with data obtained from RF classification. The normalized difference vegetation index (NDVI) presented the highest overall accuracy at 98.2% and 0.96 Kappa value. Random forest classification resulted in 98.5% accuracy and 0.94 Kappa value. The Otsu thresholding and random forest classification can be used by forest managers to assess the infestation. The aggregation of data offered by forest density maps can be a simple tool for supporting pest management.

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Landscape structural analysis of the Lençóis Maranhenses national park: implications for conservation

Cited by 29 publications

References 55 publications

Landscape indicators as a tool of assessing landscape quality

Landscape indicators as a tool of assessing landscape quality

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

Detection of Longhorned Borer Attack and Assessment in Eucalyptus Plantations Using UAV Imagery

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