Back

Identifying and ranking species that need urgent management action to achieve Target 4 of the Global Biodiversity Framework

Akcakaya, H. R.; Mannion, N. L. M.; Morreale, J.; Raimondo, D.; Hoffmann, M.; Butchart, S. H. M.; Mair, L.; Ridley, F.; Rivers, M.; Brant, C.; Clifford, M.; Joyce, M.; Mileham, K.; Felicity, C. N.; Kusrini, M.; Sunarto, S.; Houston, J.; Thomas, N.; Maddock, S. T.; Gonzalez-May, J. F.; Triantis, K.; Vavylis, D.; Spiliopoulou, K.; Gamatis, I. A.; Danmallam, B. A.; Ivande, S. T.; Manu, S. A.; Egbe, S.; Onoja, J. D.; Castellanos-Castro, C.; Lopez-Gallego, C.; Long, B.; McGowan, P. J. K.

2026-04-14 ecology
10.64898/2026.04.11.717432 bioRxiv
Show abstract

Target 4 of the Kunming-Montreal Global Biodiversity Framework (KMGBF) calls for urgent management actions to halt humaninduced extinctions and enable species recovery. However, most Parties face substantial challenges in determining which species require urgent management actions. Here, we present a transparent, standardised protocol that identifies and ranks species most likely to need urgent management actions at the national level, using globally available data from the IUCN Red List of Threatened Species. The protocol integrates four criteria aligned with Target 4: global extinction risk, rate of decline, population or range restriction, and endemism, to generate a national ranked list of species. Species scoring highly on these four criteria, and therefore most in need of urgent management action, are ranked most highly. We applied this method to all 250 countries and territories listed in the IUCN Red List and pilottested national rankings with participants from eight diverse countries. Across pilots, participants reported that the ranked lists were scientifically robust, timesaving, and valuable starting points for national prioritysetting, while stating the importance of national context, and the need for additional technical and financial support for implementation. Our results demonstrate that a sciencebased approach can meaningfully support Parties in identifying species requiring urgent action under Target 4, in a standardised way. With 2030 approaching rapidly, this protocol provides an immediate, practical tool to accelerate progress toward halting extinctions and advancing species recovery.

Matching journals

The top 7 journals account for 50% of the predicted probability mass.

1
Conservation Biology
14 papers in training set
Top 0.1%
13.8%
2
PLOS ONE
4510 papers in training set
Top 23%
8.1%
3
Conservation Science and Practice
13 papers in training set
Top 0.1%
7.9%
4
Nature Communications
4913 papers in training set
Top 26%
6.9%
5
Conservation Letters
11 papers in training set
Top 0.1%
6.1%
6
Methods in Ecology and Evolution
160 papers in training set
Top 0.7%
4.7%
7
Scientific Data
174 papers in training set
Top 0.3%
4.7%
50% of probability mass above
8
Scientific Reports
3102 papers in training set
Top 32%
3.8%
9
Philosophical Transactions of the Royal Society B
51 papers in training set
Top 2%
2.6%
10
PLOS Biology
408 papers in training set
Top 5%
2.6%
11
Nature Ecology & Evolution
113 papers in training set
Top 2%
2.6%
12
Ecography
50 papers in training set
Top 0.6%
2.0%
13
Communications Earth & Environment
14 papers in training set
Top 0.4%
2.0%
14
Global Change Biology
69 papers in training set
Top 0.8%
1.8%
15
PLANTS, PEOPLE, PLANET
21 papers in training set
Top 0.3%
1.8%
16
Diversity and Distributions
26 papers in training set
Top 0.2%
1.8%
17
Biological Conservation
43 papers in training set
Top 0.5%
1.6%
18
Communications Biology
886 papers in training set
Top 10%
1.6%
19
Science
429 papers in training set
Top 15%
1.6%
20
Global Ecology and Biogeography
41 papers in training set
Top 0.4%
1.4%
21
Nature Human Behaviour
85 papers in training set
Top 3%
1.4%
22
eLife
5422 papers in training set
Top 46%
1.4%
23
Journal of Applied Ecology
35 papers in training set
Top 0.5%
1.4%
24
Bioinformatics Advances
184 papers in training set
Top 4%
1.3%
25
Proceedings of the National Academy of Sciences
2130 papers in training set
Top 37%
1.3%
26
Ecological Indicators
20 papers in training set
Top 0.4%
1.2%
27
Environmental Research Letters
15 papers in training set
Top 0.4%
1.2%
28
Ecology and Evolution
232 papers in training set
Top 4%
0.9%
29
Ecological Informatics
29 papers in training set
Top 0.6%
0.9%
30
New Phytologist
309 papers in training set
Top 5%
0.8%