Developing spatially comparable biodiversity indicators using objective scale-dependent species selection

• Multi-species indices are generally not directly comparable across locations. • Standardised methods for indicator species selection give spatial comparability. • A niche-based framework for species selection provides such a standardised method. • We explore this framework in three ways to produce indicators at different scales. • Geographically-targeted indicators have more sensitive and representative species. Multi-species indices (MSIs) are an important tool for monitoring progress towards conservation policy targets from the local to the global scale. The choice of constituent species for habitat-specific indicators often reflects context-specific knowledge, policy needs and data availability. This makes direct comparisons of equivalent indicators across various locations challenging, and potentially reduces their representativeness if subsequently applied to other locations or spatial scales. In recognition of this, there is growing demand to develop standardised approaches to species selection that produce more spatially comparable MSIs. Using forest bird species in Europe, we use an objective, niche-based framework for indicator species selection to derive standardised indices at national, regional and pan-European scales, and explore the implications for species composition on indicator trends when adopting three alternative species-selection strategies: selecting species representative of a given spatial scale (“geographically-targeted”), disaggregating a species set representative of a broad-scale for use at smaller scales (“top-down”) and aggregating species lists representative of smaller scales for use at larger scales (“bottom-up”). We show that although the composition of indicator sets varied according to the species’ selection approach, resultant index trends for a given location were generally comparable. However, “geographically-targeted” indicators tended to be comprised of more specialist species and were more representative of the wider community. Whilst existing biodiversity indices provide critical insights into the state of nature across spatial scales, our study provides the basis for the development of complementary, standardised indicators that are spatially comparable.

Authors

Institutions

Publication Details

Journal
Ecological Indicators
Published
2025-03-01
DOI
https://doi.org/10.1016/j.ecolind.2025.113327
Primary Topic
Ecology and Vegetation Dynamics Studies
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Developing spatially comparable biodiversity indicators using objective scale-dependent species selection

Virginia Escandell, Thomas Vikstrøm, Jean‐Yves Paquet, Ingar Jostein Øien et al.
Ecological Indicators
Ecology and Vegetation Dynamics Studies
article

Developing spatially comparable biodiversity indicators using objective scale-dependent species selection

Virginia Escandell, Thomas Vikstrøm, Jean‐Yves Paquet, Ingar Jostein Øien, Sven Trautmann, Norbert Teufelbauer, Sergi Herrando, Marc Anton, Enya O’Reilly, Primož Kmecl, Petr Voříšek, Alena Klvaňová, Frédéric Jiguet, Anna Gamero, Richard D. Gregory, Simon J. Butler, Bård G. Stokke, Nicolas Strebel, Jiří Reif, Eva Šilarová, Johannes Kamp
article en

Abstract

• Multi-species indices are generally not directly comparable across locations. • Standardised methods for indicator species selection give spatial comparability. • A niche-based framework for species selection provides such a standardised method. • We explore this framework in three ways to produce indicators at different scales. • Geographically-targeted indicators have more sensitive and representative species. Multi-species indices (MSIs) are an important tool for monitoring progress towards conservation policy targets from the local to the global scale. The choice of constituent species for habitat-specific indicators often reflects context-specific knowledge, policy needs and data availability. This makes direct comparisons of equivalent indicators across various locations challenging, and potentially reduces their representativeness if subsequently applied to other locations or spatial scales. In recognition of this, there is growing demand to develop standardised approaches to species selection that produce more spatially comparable MSIs. Using forest bird species in Europe, we use an objective, niche-based framework for indicator species selection to derive standardised indices at national, regional and pan-European scales, and explore the implications for species composition on indicator trends when adopting three alternative species-selection strategies: selecting species representative of a given spatial scale (“geographically-targeted”), disaggregating a species set representative of a broad-scale for use at smaller scales (“top-down”) and aggregating species lists representative of smaller scales for use at larger scales (“bottom-up”). We show that although the composition of indicator sets varied according to the species’ selection approach, resultant index trends for a given location were generally comparable. However, “geographically-targeted” indicators tended to be comprised of more specialist species and were more representative of the wider community. Whilst existing biodiversity indices provide critical insights into the state of nature across spatial scales, our study provides the basis for the development of complementary, standardised indicators that are spatially comparable.

Ecological IndicatorsVol. 172
University of East Anglia (GB), Centre National de la Recherche Scientifique (FR), Institut Català d'Ornitologia (ES), Royal Society for the Protection of Birds (GB), Charles University (CZ), Swiss Ornithological Institute (CH), BirdLife Australia (AU), Joint Nature Conservation Committee (GB), Sorbonne Université (FR), Centre d'Écologie et des Sciences de la Conservation (FR), Forest Science and Technology Centre of Catalonia (ES), Centre for Research on Ecology and Forestry Applications (ES), Fachverband SAPV Hessen (DE), Norwegian Institute for Nature Research (NO), Czech Society for Ornithology (CZ), University College London (GB), Palacký University Olomouc (CZ), University of Göttingen (DE), Galapagos (Belgium) (BE)
European Commission, Natural Environment Research Council
Openalex Percentile: Top 96%
Ecology and Vegetation Dynamics Studies
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.