Spatial indicators for nature conservation from European to local scale

Bock, Michael; Rossner, Godela; Wissen, Michael; Remm, Kalle; Langanke, Tobias; Lang, Stefan; Klug, Hermann; Blaschke, Thomas; Vrščaj, Borut

doi:10.1016/j.ecolind.2005.03.018

Cited by 87 publications

(50 citation statements)

References 8 publications

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“…Therein, an image pixel is determined by one attribute that was a priori defined as a relevant ecological entity for the evaluation of habitat quality. Various habitat quality indicators are developed [10] that allow a fine-scale prioritization of management strategies. Although remote-sensing-derived habitat quality maps show a good correlation to terrestrial mapping approaches, they can only explain variations in fine-scale conservation status indicators up to 39% [6].…”

Section: Conservation Status Assessmentmentioning

confidence: 99%

“…There is still a considerable gap in knowledge transfer between remote-sensing specialists and ecologists in conjunction with the application demands of legal authorities [5,8,9]. The first steps in combining ecological knowledge with Natura 2000 habitat management are usually carried out using indicator species mapping [10][11][12], whereby habitat types and indicator species for habitat-status assessment are modeled separately or on the basis of object classes describing habitat quality and quantity in aggregate forms as habitat units [13][14][15][16]. Such approaches start from the premise that vegetation and habitat structures exist in a discrete pattern that can be classified a priori into categories [17].…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Gradient-Based Assessment of Habitat Quality for Spectral Ecosystem Monitoring

Neumann

Weiss²,

Schmidtlein

et al. 2015

Remote Sensing

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Abstract:The monitoring of ecosystems alterations has become a crucial task in order to develop valuable habitats for rare and threatened species. The information extracted from hyperspectral remote sensing data enables the generation of highly spatially resolved analyses of such species' habitats. In our study we combine information from a species ordination with hyperspectral reflectance signatures to predict occurrence probabilities for Natura 2000 habitat types and their conservation status. We examine how accurate habitat types and habitat threat, expressed by pressure indicators, can be described in an ordination space using spatial correlation functions from the geostatistic approach. We modeled habitat quality assessment parameters using floristic gradients derived by non-metric multidimensional scaling on the basis of 58 field plots. In the resulting ordination space, the variance structure of habitat types and pressure indicators could be explained by 69% up to 95% with fitted variogram models with a correlation to terrestrial mapping of >0.8. OPEN ACCESSRemote Sens. 2015, 7 2872Models could be used to predict habitat type probability, habitat transition, and pressure indicators continuously over the whole ordination space. Finally, partial least squares regression (PLSR) was used to relate spectral information from AISA DUAL imagery to floristic pattern and related habitat quality. In general, spectral transferability is supported by strong correlation to ordination axes scores (R 2 = 0.79-0.85), whereas second axis of dry heaths (R 2 = 0.13) and first axis for pioneer grasslands (R 2 = 0.49) are more difficult to describe.

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Section: Conservation Status Assessmentmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Gradient-Based Assessment of Habitat Quality for Spectral Ecosystem Monitoring

Neumann

Weiss²,

Schmidtlein

et al. 2015

Remote Sensing

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“…The landscape metrics applied were: Patch Density (PD), Edge Density (ED), Perimeter/Area Table 2: Indicators of quality of landscape structure in the framework of spatial ecological sampling (Dierßen and Hoffmann-Kroll, 2004, 291-293 Ratio (PAR), Number of Classes (NC), Shannon's Diversity Index (SHDI), the Interspersion and Juxtaposition Index (IJI), and the Land Cover Diversity Index (LCDI). As part of the EU project SPIN (Spatial Indicators for European Nature Conservation) (Bock et al, 2005), the potential of landscape metrics for pan-European nature conservation was explored, especially for the Natura 2000 network. Thereby, landscape metrics were applied, e.g., for the determination of the size of the ecologically effective protected areas.…”

Section: Indicator Systemsmentioning

confidence: 99%

Landscape Structure, Landscape Metrics and Biodiversity

Walz¹

2011

Living Rev. Landscape Res.

146

113

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This paper deals with the question of the role landscape metrics can play in the investigation, evaluation and monitoring of landscape structure, and which linkages between landscape structure and biodiversity are known. In the first part, the scientific state of the art is presented; in the second part, the meaning of landscape metrics for nature protection, landscape management and biodiversity monitoring is discussed. A number of studies indicate that such metrics on an aggregated, overall landscape level are quite appropriate to describe the state of biodiversity. On the other hand, gaps in the knowledge become apparent, and the results of such studies are strongly dependent on the scale of investigation and the underlying database. Nevertheless, the landscape structure approach seems to be expedient for management and planning at the landscape level.

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“…This improved method performs feature selection and classification in a one-step procedure. BOCK et al (2005) were able to successfully distinguish between calcareous grassland (E1.2) and mesotrophic pastures (E2.1) that are known to be difficult to discriminate. Their method was based on an objectbased classification using Quickbird very high resolution satellite data.…”

Section: Broad and Detailed Habitat Mapping Using Remote Sensing Techmentioning

confidence: 97%

Earth Observation for Habitat and Biodiversity Monitoring

2013

GI_Forum 2013 – Creating the GISociety

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The special workshop "Earth observation for ecosystem and biodiversity monitoring -best practices in Europe and globally, at GI_Forum 2013, focused on the outcomes of the EUfunded projects MS.MONINA and BIO_SOS and related activities that highlight the potential of Earth observation data and technologies in support of biodiversity and ecosystem monitoring. In Europe, nature conservation rests upon a strong, yet ambitious policy framework with legally binding directives. Thus, geospatial information products are required at all levels of implementation. With advances in Earth observation data availability and the forthcoming of powerful data analysis tools we enter a new dimension of satellitebased services. Recent achievements of such endeavours were showcased and challenges discussed, using best practice examples from both inside and outside Europe. This article summarizes the state-of-the-art of satellite-based habitat mapping and accommodates the paper contributions in the current scientific discourse.

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Spatial indicators for nature conservation from European to local scale

Cited by 87 publications

References 8 publications

Gradient-Based Assessment of Habitat Quality for Spectral Ecosystem Monitoring

Gradient-Based Assessment of Habitat Quality for Spectral Ecosystem Monitoring

Landscape Structure, Landscape Metrics and Biodiversity

Earth Observation for Habitat and Biodiversity Monitoring

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