The DOI matches its Crossref record; 31 of the 31 references it cites were found in a registry or an index.
Regression models for spatial prediction: their role for biodiversity and conservation
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“Spatially explicit linear regression models have been conventionally used to predict species and community distribution based on explanatory variables such as climate and topography124,125.”
From Perspectives in machine learning for wildlife conservation (2022) · cites this paper as [125]
Citations
Cites
(2005) · Springer eBooks · doi:10.1007/0-387-27255-0_9 · Cited by 20,333
Brown, R. A., Hastie, T. J., & Tibshirani, R. J. (1991) · Biometrics · doi:10.2307/2532174 · Cited by 8,263
Predictive habitat distribution models in ecology
Guisan, A., & Zimmermann, N. E. (2000) · Ecological Modelling · doi:10.1016/s0304-3800(00)00354-9 · Cited by 7,359
Systematic conservation planning
Margules, C. R., & Pressey, R. L. (2000) · Nature · doi:10.1038/35012251 · Cited by 4,631
Rare species, the coincidence of diversity hotspots and conservation strategies
Prendergast, J. R., Quinn, R. M., Lawton, J. H., Eversham, B. C., & GIBBONS, D. W. (1993) · Nature · doi:10.1038/365335a0 · Cited by 1,110
Franklin, J. (1995) · Progress in Physical Geography Earth and Environment · doi:10.1177/030913339501900403 · Cited by 909
Predicting species occurrences : issues of accuracy and scale
Scott, J. M. (2002) · Cited by 806
Generalized additive models in plant ecology
Yee, T. W., & Mitchell, N. D. (1991) · Journal of Vegetation Science · doi:10.2307/3236170 · Cited by 716
Mapping Spatial Pattern in Biodiversity for Regional Conservation Planning: Where to from Here?
Ferrier, S. (2002) · Systematic Biology · doi:10.1080/10635150252899806 · Cited by 707
Does size matter? The relationship between pond area and biodiversity
Oertli, B., Joye, D. A., Castella, E., Juge, R., Cambin, D. G., & Lachavanne, J. (2002) · Biological Conservation · doi:10.1016/s0006-3207(01)00154-9 · Cited by 704
Geographic Distribution of Endangered Species in the United States
Dobson, A. P., Rodrı́guez, J. P., Roberts, W., & Wilcove, D. S. (1997) · Science · doi:10.1126/science.275.5299.550 · Cited by 649
An Autologistic Model for the Spatial Distribution of Wildlife.
Augustin, N. H., Mugglestone, M. A., & Buckland, S. T. (1996) · The Journal of Applied Ecology · doi:10.2307/2404755 · Cited by 647
Modelling landscape‐scale habitat use using GIS and remote sensing: a case study with great bustards
Osborne, P. E., Alonso, J. C., & Bryant, R. G. (2001) · Journal of Applied Ecology · doi:10.1046/j.1365-2664.2001.00604.x · Cited by 561
GRASP: generalized regression analysis and spatial prediction
Lehmann, A., Overton, J. M., & Leathwick, J. R. (2002) · Ecological Modelling · doi:10.1016/s0304-3800(02)00195-3 · Cited by 425
Self-citationBiodiversity Assessment and Conservation Strategies
van Jaarsveld, A. S., Freitag, S., Chown, S. L., Muller, C., Koch, S., Hull, H., Bellamy, C., Krüger, M., Endrödy-Younga, S., Mansell, M. W., et al. (1998) · Science · doi:10.1126/science.279.5359.2106 · Cited by 357
Elith, J. (2006) · Springer eBooks · doi:10.1007/0-387-22648-6_4 · Cited by 331
Austin, M. P., & Meyers, J. A. (1996) · Forest Ecology and Management · doi:10.1016/s0378-1127(96)03753-x · Cited by 301
Self-citationThe potential contribution of vegetation ecology to biodiversity research
Austin, M. P. (1999) · Ecography · doi:10.1111/j.1600-0587.1999.tb01276.x · Cited by 197
Self-citationAustin, M. P., & Gaywood, M. J. (1994) · Journal of Vegetation Science · doi:10.2307/3235973 · Cited by 191
Self-citationEquilibrium modeling of alpine plant distribution: how far can we go?
Guisan, A., & Theurillat, J. (2000) · Phytocoenologia · doi:10.1127/phyto/30/2000/353 · Cited by 177
Are New Zealand's Nothofagus species in equilibrium with their environment?
Leathwick, J. R. (1998) · Journal of Vegetation Science · doi:10.2307/3237290 · Cited by 173
Pearce, J., Cherry, K. A., Drielsma, M., Ferrier, S., & Whish, G. L. (2001) · Journal of Applied Ecology · doi:10.1046/j.1365-2664.2001.00608.x · Cited by 155
Determining alternative models for vegetation response analysis: a non‐parametric approach
Bio, A. M. F., Alkemade, R., & Barendregt, A. (1998) · Journal of Vegetation Science · doi:10.2307/3237218 · Cited by 139
Modelling floristic species richness on a regional scale: a case study in Switzerland
Wohlgemuth, T. (1998) · Biodiversity and Conservation · doi:10.1023/a:1008880317661 · Cited by 128
GIS modeling of submerged macrophyte distribution using Generalized Additive Models
Lehmann, A. (1998) · Plant Ecology · doi:10.1023/a:1009754417131 · Cited by 109
Self-citationNew Zealand's potential forest pattern as predicted from current species‐environment relationships
Leathwick, J. R. (2001) · New Zealand Journal of Botany · doi:10.1080/0028825x.2001.9512748 · Cited by 100
Modeling spatially explicit forest structural attributes using Generalized Additive Models
Frescino, T. S., Edwards, T. C., & Moisen, G. G. (2001) · Journal of Vegetation Science · doi:10.1111/j.1654-1103.2001.tb02613.x · Cited by 93
Leathwick, J. R., Whitehead, D. C., & McLeod, M. J. (1996) · Environmental Software · doi:10.1016/s0266-9838(96)00045-7 · Cited by 79
Teixeira, J., Ferrand, N., & Arntzen, J. W. (2001) · Ecography · doi:10.1111/j.1600-0587.2001.tb00495.x · Cited by 54
Erratum to “GRASP: generalized regression analysis and spatial prediction”
Lehmann, A., Overton, J. M., & Leathwick, J. R. (2003) · Ecological Modelling · doi:10.1016/s0304-3800(02)00352-6 · Cited by 50
Self-citationUse of Generalized Linear Models and Digital Data in a Forest Inventory of Northern Utah
Moisen, G. G., & Edwards, T. C. (1999) · Journal of Agricultural Biological and Environmental Statistics · doi:10.2307/1400496 · Cited by 42
Research works printed but not linked: 4
- Ferrier S. and Watson G. 1997. An evaluation of the effectiveness of environmental surrogates and modelling techniques. In: Predicting the Distribution of Biological Diversity, Environment Australia, Canberra, Australia.
- Heegaard E. and Hangelbroek H.H. 1999. The distribution of Ulota crispa at a local scale in relation to both dispersal-and habitat-related factors. Lindbergia 24: 65–74.
- Overton J.McC., Leathwick J.R. and Lehmann A. 2000. Predict first, classify later – a new paradigm of spatial classification for environmental management: a revolution in the mapping of vegetation, soil, land cover, and other environmental information. 4th International Conference on Integrating GIS and Environmental Modelling (GIS/EM4), Canada (http://www.Colorado.EDU/research/cires/banff/upload/80/).
- Reid W.V. 1998. Biodiversity hotspots. TREE 13: 275–280.
Cited by
Sorted by citations
Perspectives in machine learning for wildlife conservation
Tuia, D., Kellenberger, B., Beery, S., Costelloe, B. R., Zuffi, S., Risse, B., Mathis, A., Mathis, M. W., van Langevelde, F., Burghardt, T., et al. (2022) · Nature Communications · doi:10.1038/s41467-022-27980-y · Cited by 740
Metadata
- Authors
- Lehmann, A., Overton, J. M., & Austin, M. P.
- Affiliations
- info fauna (CH)
- Commonwealth Scientific and Industrial Research Organisation (AU)
- Corresponding author
- Lehmann, A.
- Venue
- Biodiversity & Conservation
- Published
- 2002-12
- Volume
- 11
- Issue
- 12
- Pages
- 2085-2092
- ISSN
- 0960-3115 (ISSN-L)
- 1572-9710
- OpenAlex
- W1531035825
- Cited by
- 111
- References
- 31
- Citations by year
- 2026: 2 · 2025: 2 · 2023: 1 · 2022: 4 · 2021: 2 · 2020: 2 · 2019: 1 · 2018: 1 · 2017: 4 · 2016: 2 · 2015: 5 · 2014: 2 · 2013: 9 · 2012: 5
- FWCI
- 3.40
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- Locations
- Biodiversity and Conservation (publishedVersion)
- Topics
- Physical Sciences › Environmental Science › Ecological Modeling › Species Distribution and Climate Change
- Social Sciences › Economics, Econometrics and Finance › Economics and Econometrics › Spatial and Panel Data Analysis
- Physical Sciences › Environmental Science › Nature and Landscape Conservation › Ecology and Vegetation Dynamics Studies
- Keywords
- regression models, spatial prediction, biodiversity assessment, conservation management, spatially explicit analysis, computational power, biodiversity conservation
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