Using the natural capital index framework as a scalable aggregation methodology for regional biodiversity indicators

Czúcz, Bálint; Molnár, Zsolt; Horváth, Ferenc; Nagy, Gábor; Botta‐Dukát, Zoltán; Török, Katalin

doi:10.1016/j.jnc.2011.11.002

Cited by 22 publications

(14 citation statements)

References 27 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…The method was adopted for national conditions from the system of Grime (1979). Furthermore, a new possibility is the application of the Natural Capital Index (NCI), which reflects the qualitative and quantitative (spatial) characteristics of the natural or semi-natural vegetation (Czúcz et al, 2012;ten Brink, 2000ten Brink, , 2007ten Brink et al, 2002). Both indicators use vegetation data of field surveys, and the main difference is that SBT values are determined at the level of quadrats on a large scale, whereas the NCI is determined on a regional scale for almost the entire country.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

The link between landscape pattern and vegetation naturalness on a regional scale

Szilassi

Bata

Szabó

et al. 2017

Ecological Indicators

View full text Add to dashboard Cite

Section: Introductionmentioning

confidence: 99%

“…NCI values of 5.5 × 6.5 km FMU quadrate areas of Hungary based on botanical field survey between 2003 and 2006. Source:Czúcz et al, 2012. …”

mentioning

confidence: 99%

The link between landscape pattern and vegetation naturalness on a regional scale

Szilassi

Bata

Szabó

et al. 2017

Ecological Indicators

View full text Add to dashboard Cite

“…NCI, for example, is not suitable for handling local peak values and cannot express the large-scale naturalness of the landscape (Czúcz et al, 2012). This limitation can be partly eliminated by using bird indicators.…”

Section: Resultsmentioning

confidence: 99%

Evaluation of a general ecosystem state indicator based on farmland birds

Nagy¹

2014

Appl Ecol Env Res

View full text Add to dashboard Cite

Abstract. The comparison analysis and assessment of certain landscapes and landscape units is an effective tool for the decision makers for meeting appropriate land use decision. In our analysis we compared various groups of indices applicable for ecological landscape assessment applying them on three lowland landscape units. The assessed indices characterize the landscape from the point of view of vegetation (vegetation-based natural capital index) and birds (diversity of birds species of agricultural areas). The vegetation-based natural capital index values have been derived from the MÉTA database collected between 2003 and 2008. The ornithological survey was carried out in the spring of 2011 by modified Danish point counting system. Our sample areas were the geographical micro-regions Csepelisík, Hortobágy and Nagyberek, which are landscapes dominated by agricultural lands and grasslands. The major question was whether different naturalness indicators characterize basically similar but differently used landscape areas in a similar way. We found that while a higher NCI value corresponds to a higher abundance of birds, it also corresponds to a lower diversity of bird species. This contraintuitive effect partially might be explained by the variance of the large-scale landscape structure of the assessed landscape areas.

show abstract

“…HQ and HD could be evaluated from several aspects [89,90]. For example, it could be estimated by comparing field survey data on habitat conditions to ex-ante standardized criteria or by using calibrated models to estimate HQ and HD from the perspective of the spatial relationship among species, threats, and ecosystem types.…”

Section: Feasibility Of the Cea Methodsmentioning

confidence: 99%

Prioritizing Spatially Aggregated Cost-Effective Sites in Natural Reserves to Mitigate Human-Induced Threats: A Case Study of the Qinghai Plateau, China

2019

View full text Add to dashboard Cite

Anthropogenic activities often lead to the degradation of valuable natural habitats. Many efforts have been taken to counteract this degradation process, including the mitigation of human-induced stressors. However, knowing-doing gaps exist in stakeholder’s decision-making of prioritizing sites to allocate limited resources in these mitigation activities in both spatially aggregated and cost-effective manner. In this study, we present a spatially explicit prioritization framework that integrates basic cost effectiveness analysis (CEA) and spatial clustering statistics. The advantages of the proposed framework lie in its straightforward logic and ease of implementation to assist stakeholders in the identification of threat mitigation actions that are both spatially clumped and cost-effective using innovative prioritization indicators. We compared the utility of three local autocorrelation-based clustering statistics, including local Moran’s I, Getis-Ord Gi*, and AMOEBA, in quantifying the spatial aggregation of identified sites under given budgets. It is our finding that the CEA method produced threat mitigation sites that are more cost-effective but are dispersed in space. Spatial clustering statistics could help identify spatially aggregated management sites with only minor loss in cost effectiveness. We concluded that integrating basic CEA with spatial clustering statistics provides stakeholders with straightforward and reliable information in prioritizing spatially clustered cost-effective actions for habitat threat mitigation.

show abstract

Using the natural capital index framework as a scalable aggregation methodology for regional biodiversity indicators

Cited by 22 publications

References 27 publications

The link between landscape pattern and vegetation naturalness on a regional scale

The link between landscape pattern and vegetation naturalness on a regional scale

Evaluation of a general ecosystem state indicator based on farmland birds

Prioritizing Spatially Aggregated Cost-Effective Sites in Natural Reserves to Mitigate Human-Induced Threats: A Case Study of the Qinghai Plateau, China

Contact Info

Product

Resources

About