Narrowly distributed taxa are disproportionately informative for conservation planning

Balmford, A. & Gaston, K. J. Why biodiversity surveys are good value How the ‘terror crocodile’ grew so big. Nature 398, 204–205 (1999).

ADS 
CAS 
Article 

Google Scholar 

Rondinini, C., Marco, M. D., Visconti, P., Butchart, S. H. M. & Boitani, L. Update or outdate: Long-term viability of the IUCN Red List Making the Red List financially. Conserv. Lett. 7, 126–130 (2014).

Article 

Google Scholar 

Braithwaite, M. E. & Walker, K. J. 50 Years of Mapping the British and Irish Flora 1962–2012 (Botanical Society of the British Isles, 2012).

Google Scholar 

Barrett, G., Silcocks, A., Barry, S., Cunningham, R. & Poulter, R. The New Atlas of Australian Birds (Royal Australasian Ornithologists Union, 2003).

Google Scholar 

Biodiversity Center of Japan. Animal Distribution Atlas of Japan (Ministry of Environment Japan, 2010).

Google Scholar 

McGowan, K. & Corwin, K. The Second Atlas of Breeding Birds in New York State (Comstock Publishing Associates, 2008).

Google Scholar 

Rhoads, A. F. & Klein, W. M. J. The vascular Flora of Pennsylvenia: Annoted Checklist and Atlas (American Philosophical Society, 1993).

Google Scholar 

Baker, H. et al. Population estimates of birds in Great Britain and the United Kingdom British Birds. Br. Birds 99, 25–44 (2006).

Google Scholar 

Bonn, A., Rodrigues, A. S. L. & Gaston, K. J. Threatened and endemic species: Are they good indicators of patterns of biodiversity on a national scale?. Ecol. Lett. 5, 733–741 (2002).

Article 

Google Scholar 

Albuquerque, F. & Beier, P. Rarity-weighted richness: A simple and reliable alternative to integer programming and heuristic algorithms for minimum set and maximum coverage problems in conservation planning. PLoS ONE 10, e0119905 (2015).

Article 

Google Scholar 

Williams, P. et al. A comparison of richness hotspots, rarity hotspots, and complementary areas for conserving diversity of British birds. Conserv. Biol. 10, 155–174 (1996).

Article 

Google Scholar 

Platts, P. J. et al. Conservation implications of omitting narrow-ranging taxa from species distribution models, now and in the future. Divers. Distrib. 20, 1307-1320. (2014).

Article 

Google Scholar 

Kujala, H., Moilanen, A. & Gordon, A. Spatial characteristics of species distributions as drivers in conservation prioritization. Methods Ecol. Evol. 9, 1121–1132 (2018).

Article 

Google Scholar 

Kukkala, A. S. & Moilanen, A. Core concepts of spatial prioritisation in systematic conservation planning. Biol. Rev. Camb. Philos. Soc. 88, 443–464 (2013).

Article 

Google Scholar 

Lawler, J. J., White, D., Sifneos, J. C. & Master, L. L. Rare species and the use of indicator groups for conservation planning. Conserv. Biol. 17, 875–882 (2003).

Article 

Google Scholar 

Kujala, H., Lahoz-Monfort, J. J., Elith, J. & Moilanen, A. Not all data are equal: Influence of data type and amount in spatial conservation prioritisation. Methods Ecol. Evol. 9, 2249–2261 (2018).

Article 

Google Scholar 

Grantham, H. S. et al. Diminishing return on investment for biodiversity data in conservation planning. Conserv. Lett. 1, 190–198 (2008).

Article 

Google Scholar 

Margules, C. R. & Pressey, R. L. Systematic conservation planning. Nature 405, 243–253 (2000).

CAS 
Article 

Google Scholar 

Moilanen, A., Wilson, K. A. & Possingham, H. Spatial Conservation Prioritization: Quantitative Methods and Computational Tools (Oxford University Press, 2009).

Google Scholar 

Akasaka, M., Kadoya, T., Ishihama, F., Fujita, T. & Fuller, R. A. Smart protected area placement decelerates biodiversity loss: A representation-extinction feedback leads rare species to extinction. Conserv. Lett. 10, 539–546 (2017).

Article 

Google Scholar 

Boakes, E., McGowan, P. & Fuller, R. Distorted views of biodiversity: spatial and temporal bias in species occurrence data. PLoS Biol. 8, e1000385 (2010).

Article 

Google Scholar 

Williams, P. H., Margules, C. R. & Hilbert, D. W. Data requirements and data sources for biodiversity priority area selection. J. Biosci. 27, 327–338 (2002).

CAS 
Article 

Google Scholar 

Da Fonseca, G. A. B. et al. … following Africa’s lead Community groups could. Nature 405, 393–394 (2000).

Article 

Google Scholar 

Possingham, H. P., Grantham, H. & Rondinini, C. How can you conserve species that haven’t been found? Commentary. J. Biogeogr. 34, 758–759 (2007).

Article 

Google Scholar 

Ohlemuller, R. et al. The coincidence of climatic and species rarity: High risk to small-range species from climate change. Biol. Lett. 4, 568–572 (2008).

Article 

Google Scholar 

Kier, G. et al. A global assessment of endemism and species richness across island and mainland regions. Proc. Natl. Acad. Sci. USA. 106, 9322–9327 (2009).

ADS 
CAS 
Article 

Google Scholar 

Raes, N., Roos, M. C., Slik, J. W. F., Van Loon, E. E. & Steege, H. T. Botanical richness and endemicity patterns of Borneo derived from species distribution models. Ecography (Cop.) 32, 180–192 (2009).

Article 

Google Scholar 

Tulloch, A. I. T., Mustin, K., Possingham, H. P., Szabo, J. K. & Wilson, K. A. To boldly go where no volunteer has gone before: predicting volunteer activity to prioritize surveys at the landscape scale. Divers. Distrib. 19, 465–480 (2013).

Article 

Google Scholar 

Rodewald, A. D., Strimas-Mackey, M., Schuster, R. & Arcese, P. Tradeoffs in the value of biodiversity feature and cost data in conservation prioritization. Sci. Rep. 9, 5921 (2019).

Article 

Google Scholar 

Rabinowitz, D. Seven forms of rarity. In The biological aspects of rare plant conservation. (ed. Synge, H.) 205–217 (Wiley, Chichester, 1981).

Google Scholar 

Ministry of Environment. Red Data Book 2014: Plants I (Gyousei, 2015).

Google Scholar 

Ministry of Environment. Red Data Book 2014: Plants II (Gyousei, 2015).

Google Scholar 

Yahara, T. et al. Red list of Japanese vascular plants: Summary of methods and results. Proc. Japan. Soc. Plant Taxon. 13, 89–96 (1998).

Google Scholar 

Ball, I. R., Possingham, H. P. & Watts, M. Marxan and relatives: Software for spatial conservation prioritisation. In Spatial Conservation Prioritisation: Quantitative Methods and Computational Tools (eds Moilanen, A. et al.) 185–195 (Oxford University Press, 2009).

Google Scholar 

Yoshioka, A., Akasaka, M. & Kadoya, T. Spatial prioritization for biodiversity restoration: A simple framework referencing past species distributions. Restor. Ecol. 22, 185–195 (2014).

Article 

Google Scholar 

Naidoo, R. et al. Integrating economic costs into conservation planning. Trends Ecol. Evol. 21, 681–687 (2006).

Article 

Google Scholar 

Japan Statistics. Population of Japan: Final Report of the 2005 Population Census. (Statistics Japan, 2010).

R Core Team. R 4.0.0. (R Foundation for Statistical Computing, 2020).

Zweig, M. H. & Campbell, G. Receiver-operating characteristic (ROC) plots: A fundamental evaluation tool in clinical medicine. Clin. Chem. 39, 561–577 (1993).

CAS 
Article 

Google Scholar 

Hermoso, V., Ward, D. P. & Kennard, M. J. Using water residency time to enhance spatio-temporal connectivity for conservation planning in seasonally dynamic freshwater ecosystems. J. Appl. Ecol. 49, 1028–1035 (2012).

Article 

Google Scholar 

Beyer, H. L., Dujardin, Y., Watts, M. E. & Possingham, H. P. Solving conservation planning problems with integer linear programming. Ecol. Modell. 328, 14–22 (2016).

Article 

Google Scholar 

Schuster, R., Hanson, J. O., Strimas-Mackey, M. & Bennett, J. R. Integer linear programming outperforms simulated annealing for solving conservation planning problems. PeerJ 8, e9258. https://doi.org/10.7717/peerj.9258 (2020).

Article 

Google Scholar