The Integrated system for Natural Capital Accounting (INCA) in Europe: twelve lessons learned from empirical ecosystem service accounting

Notte, Alessandra La; Vallecillo, Sara; Grammatikopoulou, Ioanna; Polce, Chiara; Rega, Carlo; Zulian, Grazia; Kakoulaki, Georgia; Grizzetti, Bruna; Ferrini, Silvia; Zurbaran-Nucci, Mayra; Bendito, Eduardo Garcia; Vysna, Veronika; Paracchini, Maria Luisa

doi:10.3897/oneeco.7.e84925

Cited by 6 publications

(3 citation statements)

References 16 publications

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“…Estimation of the benefits each ecosystem service provided to the economy is complex and difficult as there is no monitoring system that can measure these services in detail [111]. The Integrated System for Natural Capital Accounting (INCA) developed a method of measuring ES potential and ES demand at the European scale [112], aggregating over an accounting area, and then estimating the actual ES use as the share of demand that can be satisfied by the potential. ES use was calculated for every ecosystem type that provided the service and was recorded in the supply table, but instead of monetary values (provided in an aggregated form for the entire EU), we used relative supply estimates (Table A3) [111].…”

Section: Fire Exposure and Vulnerabilitymentioning

confidence: 99%

Conceptual Model for Integrated Meso-Scale Fire Risk Assessment in the Coastal Catchments in Croatia

Horvat,

Karleuša

2024

Remote Sensing

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Various factors influence wildfire probability, including land use/land cover (LULC), fuel types, and their moisture content, meteorological conditions, and terrain characteristics. The Adriatic Sea coastal area in Croatia has a long record of devastating wildfires that have caused severe ecological and economic damages as well as the loss of human lives. Assessing the conditions favorable for wildfires and the possible damages are crucial in fire risk management. Adriatic settlements and ecosystems are highly vulnerable, especially during summer, when the pressure from tourist migration is the highest. However, available fire risk models designed to fit the macro-scale level of assessment cannot provide information detailed enough to meet the decision-making conditions at the local level. This paper describes a model designed to assess wildfire risks at the meso-scale, focusing on environmental and anthropogenic descriptors derived from moderate- to high-resolution remote sensing data (Sentinel-2), Copernicus Land Monitoring Service datasets, and other open sources. Risk indices were integrated using the multi-criteria decision analysis method, the analytic hierarchy process (AHP), in a GIS environment. The model was tested in three coastal catchments, each having recently experienced severe fire events. The approach successfully identified zones at risk and the level of risk, depending on the various environmental and anthropogenic conditions.

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Section: Fire Exposure and Vulnerabilitymentioning

confidence: 99%

Conceptual Model for Integrated Meso-Scale Fire Risk Assessment in the Coastal Catchments in Croatia

Horvat,

Karleuša

2024

Remote Sensing

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“…The ES capacity of other vegetation types possible at that location (e.g., potential natural vegetation (PNV)), or ET changes related to major changes in land use (e.g., forest clearing for agricultural areas or habitat restoration) are not considered; In MAES-HU, we did not define the first level of the cascade merely as the basic structure of the ecosystems (as in earlier works, e.g., [26,75]), but we also added a normative aspect to our selection criteria, so that the selected indicators would be able to distinguish between "good" and "bad" conditions [76]. In addition, we also aimed to catch those features of the ecosystems that describe their integrity connected to the delivery of ES in a mechanistic way (as set out in [50,76]) and that can be therefore linked to ES models [77]. This could be implemented more in the ES-specific condition indicators but were less required for general EC indicators (see also [35]).…”

Section: How Can We Define Ecosystem Service Capacity Operationally?mentioning

confidence: 99%

National Ecosystem Services Assessment in Hungary: Framework, Process and Conceptual Questions

et al. 2022

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Mapping and assessing ecosystem services (ES) projects at the national level have been implemented recently in the European Union in order to comply with the targets set out in the EU’s Biodiversity Strategy for 2020 and later in the Strategy for 2030. In Hungary this work has just been accomplished in a large-scale six-year project. The Hungarian assessment was structured along the ES cascade with each level described by a set of indicators. We present the selected and quantified indicators for 12 ES. For the assessment of cascade level 4, human well-being, a set of relevant well-being dimensions were selected. The whole process was supported by several forms of involvement, interviews, consultations and workshops and in thematic working groups performing the ES quantifications, followed by building scenarios and synthesizing maps and results. Here we give an overview of the main steps and results of the assessment, discuss related conceptual issues and recommend solutions that may be of international relevance. We refine some definitions of the cascade levels and suggest theoretical extensions to the cascade model. By finding a common basis for ES assessments and especially for national ones, we can ensure better comparability of results and better adoption in decision making.

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“…The Common International Classification of Ecosystem Services (CICES) provides a broadly accepted, unified framework that underlines the development of the global system of natural capital accounting. In Europe, the related standards are set by the INCA project (La Notte et al, 2022), while in the United States, the implementation of environmental-economic accounting is guided by a strategy document (White House, 2023).…”

Section: Introductionmentioning

confidence: 99%

Beyond GDP: The Wealth Perspective of Sustainability

Kovács

2023

RETP

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The capital approach, or the wealth economy framework of sustainability broadens the conventional measure of economic performance “beyond GDP”, with a long-term view. The totality of capital assets, or wealth, is composed of produced, human, natural and social capital, and is seen as the source of income, benefits, and wellbeing of present and future generations. Shrinkage in this production base signals unsustainable development. While the weak criterion of sustainability allows substitution between all capital elements, the strong criterion does not allow reductions in the renewable component of natural capital. Using World Bank data, we found that during the 1995-2018 period, 14% and 58% of the countries globally did not meet the weak and the strong criteria of sustainability, respectively. Also, a comparative analysis of wealth and its components is provided for selected OECD countries. It is found that human capital is proportionally the most significant among the capital elements, followed by produced capital. Natural capital, both renewable and non-renewable, lags far behind. Our findings raise questions regarding the rationale of economic convergence, as well as confirm the necessity of further methodological improvements regarding data generation and statistics, including the valuation of assets.

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The Integrated system for Natural Capital Accounting (INCA) in Europe: twelve lessons learned from empirical ecosystem service accounting

Cited by 6 publications

References 16 publications

Conceptual Model for Integrated Meso-Scale Fire Risk Assessment in the Coastal Catchments in Croatia

Conceptual Model for Integrated Meso-Scale Fire Risk Assessment in the Coastal Catchments in Croatia

National Ecosystem Services Assessment in Hungary: Framework, Process and Conceptual Questions

Beyond GDP: The Wealth Perspective of Sustainability

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