The DOI matches its Crossref record; 15 of the 15 references it cites were found in a registry or an index.
Plant Diversity Hotspots in the Atlantic Coastal Forests of Brazil
Abstract
Abstract: Plant‐diversity hotspots on a global scale are well established, but smaller local hotspots within these must be identified for effective conservation of plants at the global and local scales. We used the distributions of endemic and endemic‐threatened species of Myrtaceae to indicate areas of plant diversity and conservation importance within the Atlantic coastal forests ( Mata Atlântica ) of Brazil. We applied 3 simple, inexpensive geographic information system (GIS) techniques to a herbarium specimen database: predictive species‐distribution modeling (Maxent); complementarity analysis (DIVA‐GIS); and mapping of herbarium specimen collection locations. We also considered collecting intensity, which is an inherent limitation of use of natural history records for biodiversity studies. Two separate areas of endemism were evident: the Serra do Mar mountain range from Paraná to Rio de Janeiro and the coastal forests of northern Espírito Santo and southern Bahia. We identified 12 areas of approximately 35 km 2 each as priority areas for conservation. These areas had the highest species richness and were highly threatened by urban and agricultural expansion. Observed species occurrences, species occurrences predicted from the model, and results of our complementarity analysis were congruent in identifying those areas with the most endemic species. These areas were then prioritized for conservation importance by comparing ecological data for each.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Very high resolution interpolated climate surfaces for global land areas
Hijmans, R. J., Cameron, S. E., Parra, J. L., Jones, P. G., & Jarvis, A. (2005) · International Journal of Climatology · doi:10.1002/joc.1276 · Cited by 19,825
Maximum entropy modeling of species geographic distributions
Phillips, S. J., Anderson, R. P., & Schapire, R. E. (2006) · Ecological Modelling · doi:10.1016/j.ecolmodel.2005.03.026 · Cited by 15,396
Novel methods improve prediction of species’ distributions from occurrence data
Elith*, J., H. Graham*, C., P. Anderson, R., Dudík, M., Ferrier, S., Guisan, A., J. Hijmans, R., Huettmann, F., R. Leathwick, J., Lehmann, A., et al. (2006) · Ecography · doi:10.1111/j.2006.0906-7590.04596.x · Cited by 9,088
Terrestrial ecoregions of the world: a new map of life on Earth
Olson, D. M., Dinerstein, E., Wikramanayake, E. D., Burgess, N. D., Powell, G. V. N., Underwood, E. C., D'amico, J. A., Itoua, I., Strand, H. E., Morrison, J. C., et al. (2001) · BioScience · doi:10.1641/0006-3568(2001)051[0933:teotwa]2.0.co;2 · Cited by 8,488
Pearson, R. G., Raxworthy, C. J., Nakamura, M., & Townsend Peterson, A. (2007) · Journal of Biogeography · doi:10.1111/j.1365-2699.2006.01594.x · Cited by 3,138
Hotspots Revisited: Earth's Biologically Richest and Most Endangered Terrestrial Ecoregions
Mittermeier, R. A., Gil, P., Hoffman, M. T., Pilgrim, J. D., Brooks, T. M., Mittermeier, C. G., Lamoreux, J. F., & da Fonseca, G. A. B. (2005) · Cited by 2,908
Oliveira-Filho, A. T., & Fontes, M. A. L. (2000) · BIOTROPICA · doi:10.1646/0006-3606(2000)032[0793:pofdaa]2.0.co;2 · Cited by 1,383
Self-citationOliveira‐Filho, A. T., & Fontes, M. A. L. (2000) · Biotropica · doi:10.1111/j.1744-7429.2000.tb00619.x · Cited by 1,146
Self-citationERROR ON CHOROPLETHIC MAPS: DEFINITION, MEASUREMENT, REDUCTION
JENKS, G. F., & CASPALL, F. C. (1971) · Annals of the Association of American Geographers · doi:10.1111/j.1467-8306.1971.tb00779.x · Cited by 688
Hurlbert, A. H., & White, E. P. (2005) · Ecology Letters · doi:10.1111/j.1461-0248.2005.00726.x · Cited by 287
Cited by
A statistical explanation of MaxEnt for ecologists
Elith, J., Phillips, S. J., Hastie, T., Dudík, M., Chee, Y. E., & Yates, C. J. (2011) · Diversity and Distributions · doi:10.1111/j.1472-4642.2010.00725.x · Cited by 6,699
Futures of global urban expansion: uncertainties and implications for biodiversity conservation
Güneralp, B., & Seto, K. C. (2013) · Environmental Research Letters · doi:10.1088/1748-9326/8/1/014025 · Cited by 354
Oliveira-Filho, A. T., Budke, J. C., Jarenkow, J. A., Eisenlohr, P. V., & Neves, D. R. M. (2015) · Journal of Plant Ecology · doi:10.1093/jpe/rtt058 · Cited by 273
Self-citationNoroozi, J., Talebi, A., Doostmohammadi, M., Rumpf, S. B., Linder, H. P., & Schneeweiss, G. M. (2018) · Scientific Reports · doi:10.1038/s41598-018-28504-9 · Cited by 253
Metadata
- Authors
- MURRAY‐SMITH, C., BRUMMITT, N. A., OLIVEIRA‐FILHO, A. T., BACHMAN, S., MOAT, J., LUGHADHA, E. M. N., & LUCAS, E. J.
- Venue
- Conservation Biology
- Publisher
- Wiley
- Published
- 2009-01-14
- Volume
- 23
- Issue
- 1
- Pages
- 151-163
- ISSN
- 0888-8892 (ISSN-L)
- 1523-1739
- OpenAlex
- W2048515017
- Cited by
- 268
- References
- 15
- FWCI
- 10.03
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Plant Diversity Hotspots in the Atlantic Coastal Forests of Brazil. https://app.cochat.ai/papers/10.1111/j.1523-1739.2008.01075.x
- The paper
- MURRAY‐SMITH, C., BRUMMITT, N. A., OLIVEIRA‐FILHO, A. T., BACHMAN, S., MOAT, J., LUGHADHA, E. M. N., & LUCAS, E. J. (2009). Plant Diversity Hotspots in the Atlantic Coastal Forests of Brazil. Conservation Biology. https://doi.org/10.1111/j.1523-1739.2008.01075.x
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
