Towards a standardised monitoring of ecosystem condition: A literature review on indicators and their data sources

• We present a variety of approaches and common themes in recent literature assessing ecosystem condition (EC). • 302 articles met the criteria of using spatially explicit indicators to assess EC. • We summarise key ecosystem characteristics represented by EC indicators and the data types used to develop them. Easily updatable information on ecosystem condition (EC) is essential for understanding trends in ecosystem degradation and prioritising restoration efforts. However, assessing the state, health, or quality of ecosystems is a complex and multidisciplinary challenge, resulting in a wide array of approaches documented in the scientific literature. With growing emphasis on international restoration targets and discussion on how to effectively address EC within established accounting frameworks, the need for robust, systematic methods for assessing EC is increasingly evident. This study reviews recent applications of spatially explicit indicators for mapping EC, with the aim of highlighting the main indicators used in research and related data sources. We find that certain ecosystem types, such as forests, are assessed more frequently, and that most indicators employed reflect structural attributes of ecosystems. Compositional and functional characteristics remain comparatively underexplored. We show that the data used to develop metrics vary across ecosystem types, but remote sensing is widely used to develop spatially explicit and continuous indicators. Our results provide valuable insights on the challenge of comprehensive and systematic assessment of EC, and can stimulate discussion on potential minimum sets of indicators for EC. We highlight future directions for research in this field which would allow for a more complete and robustly informed use of indicators, supported by well-established data-to-indicator pipelines.

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Publication Details

Journal
Ecological Indicators
Published
2025-08-11
DOI
https://doi.org/10.1016/j.ecolind.2025.113952
Citations
5
Primary Topic
Land Use and Ecosystem Services
Type
article
Field-Weighted Citation Impact
5.53
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article

Towards a standardised monitoring of ecosystem condition: A literature review on indicators and their data sources

Constantin Cazacu, Paula Rendón, Christos Zoumides, Xavier Lecomte et al.
5 citations
Ecological Indicators
Land Use and Ecosystem Services
5.53
article

Towards a standardised monitoring of ecosystem condition: A literature review on indicators and their data sources

Constantin Cazacu, Paula Rendón, Christos Zoumides, Xavier Lecomte, Chiara Parretta, Ulla Mörtberg, Philip Roche, Chiara Cortinovis, Francisco Javier Guzmán Bernardo, Ján Černecký, Sabine Lange, Helena Duchková, Eszter Tanács, Martina Kičić, Adrienne Grêt‐Regamey, Alon Lotan, Bálint Czúcz, Dijana Vuletić, Isabel Nicholson Thomas, Zhi Yi Vanessa Lim
article en
5 citations

Abstract

• We present a variety of approaches and common themes in recent literature assessing ecosystem condition (EC). • 302 articles met the criteria of using spatially explicit indicators to assess EC. • We summarise key ecosystem characteristics represented by EC indicators and the data types used to develop them. Easily updatable information on ecosystem condition (EC) is essential for understanding trends in ecosystem degradation and prioritising restoration efforts. However, assessing the state, health, or quality of ecosystems is a complex and multidisciplinary challenge, resulting in a wide array of approaches documented in the scientific literature. With growing emphasis on international restoration targets and discussion on how to effectively address EC within established accounting frameworks, the need for robust, systematic methods for assessing EC is increasingly evident. This study reviews recent applications of spatially explicit indicators for mapping EC, with the aim of highlighting the main indicators used in research and related data sources. We find that certain ecosystem types, such as forests, are assessed more frequently, and that most indicators employed reflect structural attributes of ecosystems. Compositional and functional characteristics remain comparatively underexplored. We show that the data used to develop metrics vary across ecosystem types, but remote sensing is widely used to develop spatially explicit and continuous indicators. Our results provide valuable insights on the challenge of comprehensive and systematic assessment of EC, and can stimulate discussion on potential minimum sets of indicators for EC. We highlight future directions for research in this field which would allow for a more complete and robustly informed use of indicators, supported by well-established data-to-indicator pipelines.

Ecological IndicatorsVol. 178
Leibniz University Hannover (DE), Universidade dos Açores (PT), University of Bucharest (RO), Cyprus Institute (CY), Universidad Rey Juan Carlos (ES), University of Trento (IT), Charles University (CZ), Aix-Marseille Université (FR), ETH Zurich (CH), Institut National de Recherche pour l'Agriculture, l'Alimentation et l'Environnement (FR), Institute of Ecology and Botany (HU), Institute of Landscape Ecology of the Slovak Academy of Sciences (SK), Centre de Recherche et d’Enseignement de Géosciences de l’Environnement (FR), Czech Academy of Sciences, Global Change Research Institute (CZ), HUN-REN Centre for Ecological Research (HU), Norwegian Institute for Nature Research (NO), Croatian Forest Research Institute (HR), KTH Royal Institute of Technology (SE), University of Haifa (IL)
Life in Land
Openalex Percentile: Top 4%
Land Use and Ecosystem Services
5.53
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