Comparison of metrics for identifying Key Biodiversity Areas

Achieving global biodiversity targets requires reliable identification of Key Biodiversity Areas (KBAs). The KBA Standard defines six metrics to identify KBAs for threatened (criterion A1) or geographically restricted (criterion B1) species, one as a measure of population size: (i) number of mature individuals, and four proxies for population size: (ii) area of occupancy, (iii) extent of suitable habitat, (iv) range, and (v) number of localities. The sixth parameter, (vi) distinct genetic diversity, explicitly captures genetic variation. We compared the performance of these metrics using a geographically restricted model species ( Ariagona margaritae , Insecta: Orthoptera). In our model species, KBA identification varied substantially depending on the metric used. The number of localities turned out to be the best proxy for population size, while other metrics were influenced by spatial dimensions of proposed KBAs. When calculating distinct genetic diversity for each area separately it picked the most diverse but genetically similar areas. The complementarity-based approach using ∆ + distinct genetic diversity best ensures comprehensive coverage of several genetic lineages and the species' evolutionary trajectory. This suggests that the inclusion of distinct genetic diversity in the KBA Standard would be better placed in a new subcriterion than as a metric under criteria A1 and B1. Our results will help to inform further development of the KBA Standard.

Authors

Institutions

Publication Details

Journal
Biological Conservation
Published
2026-04-28
DOI
https://doi.org/10.1016/j.biocon.2026.111863
Primary Topic
Genetic diversity and population structure
Type
article
Field-Weighted Citation Impact
0.00

Funders

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

Comparison of metrics for identifying Key Biodiversity Areas

Oliver Hawlitschek, Tobias Schulte-Middelmann, Sarah Christin Gronefeld, Axel Hochkirch et al.
Biological Conservation
Genetic diversity and population structure
article

Comparison of metrics for identifying Key Biodiversity Areas

Oliver Hawlitschek, Tobias Schulte-Middelmann, Sarah Christin Gronefeld, Axel Hochkirch, Prabina Tandukar, Heriberto López, Felicia Hofmann
article en

Abstract

Achieving global biodiversity targets requires reliable identification of Key Biodiversity Areas (KBAs). The KBA Standard defines six metrics to identify KBAs for threatened (criterion A1) or geographically restricted (criterion B1) species, one as a measure of population size: (i) number of mature individuals, and four proxies for population size: (ii) area of occupancy, (iii) extent of suitable habitat, (iv) range, and (v) number of localities. The sixth parameter, (vi) distinct genetic diversity, explicitly captures genetic variation. We compared the performance of these metrics using a geographically restricted model species ( Ariagona margaritae , Insecta: Orthoptera). In our model species, KBA identification varied substantially depending on the metric used. The number of localities turned out to be the best proxy for population size, while other metrics were influenced by spatial dimensions of proposed KBAs. When calculating distinct genetic diversity for each area separately it picked the most diverse but genetically similar areas. The complementarity-based approach using ∆ + distinct genetic diversity best ensures comprehensive coverage of several genetic lineages and the species' evolutionary trajectory. This suggests that the inclusion of distinct genetic diversity in the KBA Standard would be better placed in a new subcriterion than as a metric under criteria A1 and B1. Our results will help to inform further development of the KBA Standard.

Biological ConservationVol. 319
ZHAW Zurich University of Applied Sciences (CH), University of Zurich (CH), University of Koblenz and Landau (DE), Instituto de Productos Naturales y Agrobiología (ES), Musée national d'histoire naturelle Luxembourg (LU), Universität Trier (DE)
Biodiversa+
Life in Land
Openalex Percentile: Top 5%
Genetic diversity and population structure
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.

Comparison of metrics for identifying Key Biodiversity Areas — Oliver Hawlitschek, Tobias Schulte-Middelmann, et al. · Biological Conservation (2026) | TGRS Research Map | TGRS