234 results on '"Bachman, Steven"'
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2. How threatened are plants? : assessing conservation status of plants to support global conservation targets
3. Bridging the research-implementation gap in IUCN Red List assessments
4. Extinction risk predictions for the world's flowering plants to support their conservation
5. Clarifying misconceptions of extinction risk assessment with the IUCN Red List.
6. The use and misuse of herbarium specimens in evaluating plant extinction risks
7. Refining area of occupancy to address the modifiable areal unit problem in ecology and conservation
8. Extinction risk and conservation gaps for Aloe (Asphodelaceae) in the Horn of Africa
9. Quantifying progress toward a conservation assessment for all plants
10. Elevational Gradients, Area and Tropical Island Diversity: An Example from the Palms of New Guinea
11. Using coarse-scale species distribution data to predict extinction risk in plants
12. Extinction risk predictions for the world's flowering plants to support their conservation
13. Three in four undescribed plant species are threatened with extinction
14. Three in four undescribed plant species are threatened with extinction
15. Species abundances often conform to ‘abundant-centre’ patterns depending on dispersal capabilities
16. A Vision for Global Biodiversity Monitoring With Citizen Science
17. Madagascar’s extraordinary biodiversity: Evolution, distribution, and use
18. Madagascar’s extraordinary biodiversity: Threats and opportunities
19. Incorporating evolutionary history into conservation planning in biodiversity hotspots
20. The Sampled Red List Index for Plants, phase II: ground-truthing specimen-based conservation assessments
21. Plant species biogeographic origin shapes their current and future distribution on the world's highest island mountain
22. Evidence‐based guidelines for automated conservation assessments of plant species
23. Figure 1 from: Tack W, Engledow H, Veríssimo Pereira N, Amani C, Bachman SP, Barberá P, Beentje HJ, Bouka GUD, Cheek M, Cosiaux A, Dauby G, De Block P, Ewango CEN, Fischer E, Gereau RE, Hargreaves S, Harvey-Brown Y, Ikabanga DU, Ilunga wa Ilunga E, Kalema J, Kamau P, Lachenaud O, Luke Q, Mwanga Mwanga I, Ndolo Ebika ST, Nkengurutse J, Nsanzurwimo A, Ntore S, Richards SL, Shutsha Ehata R, Simo-Droissart M, Stévart T, Sosef MSM (2022) The ECAT dataset: expert-validated distribution data of endemic and sub-endemic trees of Central Africa (Dem. Rep. Congo, Rwanda, Burundi). PhytoKeys 206: 137-151. https://doi.org/10.3897/phytokeys.206.77379
24. Figure 2 from: Tack W, Engledow H, Veríssimo Pereira N, Amani C, Bachman SP, Barberá P, Beentje HJ, Bouka GUD, Cheek M, Cosiaux A, Dauby G, De Block P, Ewango CEN, Fischer E, Gereau RE, Hargreaves S, Harvey-Brown Y, Ikabanga DU, Ilunga wa Ilunga E, Kalema J, Kamau P, Lachenaud O, Luke Q, Mwanga Mwanga I, Ndolo Ebika ST, Nkengurutse J, Nsanzurwimo A, Ntore S, Richards SL, Shutsha Ehata R, Simo-Droissart M, Stévart T, Sosef MSM (2022) The ECAT dataset: expert-validated distribution data of endemic and sub-endemic trees of Central Africa (Dem. Rep. Congo, Rwanda, Burundi). PhytoKeys 206: 137-151. https://doi.org/10.3897/phytokeys.206.77379
25. The ECAT dataset: expert-validated distribution data of endemic and sub-endemic trees of Central Africa (Dem. Rep. Congo, Rwanda, Burundi)
26. Figure 3 from: Tack W, Engledow H, Veríssimo Pereira N, Amani C, Bachman SP, Barberá P, Beentje HJ, Bouka GUD, Cheek M, Cosiaux A, Dauby G, De Block P, Ewango CEN, Fischer E, Gereau RE, Hargreaves S, Harvey-Brown Y, Ikabanga DU, Ilunga wa Ilunga E, Kalema J, Kamau P, Lachenaud O, Luke Q, Mwanga Mwanga I, Ndolo Ebika ST, Nkengurutse J, Nsanzurwimo A, Ntore S, Richards SL, Shutsha Ehata R, Simo-Droissart M, Stévart T, Sosef MSM (2022) The ECAT dataset: expert-validated distribution data of endemic and sub-endemic trees of Central Africa (Dem. Rep. Congo, Rwanda, Burundi). PhytoKeys 206: 137-151. https://doi.org/10.3897/phytokeys.206.77379
27. Issues with species occurrence data and their impact on extinction risk assessments
28. Madagascar's extraordinary biodiversity : Evolution, distribution, and use
29. Madagascar's extraordinary biodiversity : Threats and opportunities
30. Madagascar’s extraordinary biodiversity:Evolution, distribution, and use
31. Madagascar’s extraordinary biodiversity:Threats and opportunities
32. bdc : A toolkit for standardizing, integrating and cleaning biodiversity data
33. Plant Diversity Hotspots in the Atlantic Coastal Forests of Brazil
34. Evidence‐based guidelines for automated conservation assessments of plant species.
35. Plant species biogeographic origin shapes their current and future distribution on the world's highest island mountain.
36. The ECAT dataset: expert-validated distribution data of endemic and sub-endemic trees of Central Africa (Dem. Rep. Congo, Rwanda, Burundi).
37. Evidence-based guidelines for automated conservation assessments of plant species
38. Subpopulations, locations and fragmentation: applying IUCN red list criteria to herbarium specimen data
39. To clean or not to clean: Cleaning open‐source data improves extinction risk assessments for threatened plant species
40. Extinction risk and threats to plants and fungi
41. Caution Needed When Predicting Species Threat Status for Conservation Prioritization on a Global Scale
42. An assessment of the conservation status of Restrepia (Orchidaceae) reveals the threatened status of the genus
43. Figure 2 from: Bachman S, Walker BE, Barrios S, Copeland A, Moat J (2020) Rapid Least Concern: towards automating Red List assessments. Biodiversity Data Journal 8: e47018. https://doi.org/10.3897/BDJ.8.e47018
44. Supplementary material 2 from: Bachman S, Walker BE, Barrios S, Copeland A, Moat J (2020) Rapid Least Concern: towards automating Red List assessments. Biodiversity Data Journal 8: e47018. https://doi.org/10.3897/BDJ.8.e47018
45. Supplementary material 1 from: Bachman S, Walker BE, Barrios S, Copeland A, Moat J (2020) Rapid Least Concern: towards automating Red List assessments. Biodiversity Data Journal 8: e47018. https://doi.org/10.3897/BDJ.8.e47018
46. Figure 1 from: Bachman S, Walker BE, Barrios S, Copeland A, Moat J (2020) Rapid Least Concern: towards automating Red List assessments. Biodiversity Data Journal 8: e47018. https://doi.org/10.3897/BDJ.8.e47018
47. Figure 3 from: Bachman S, Walker BE, Barrios S, Copeland A, Moat J (2020) Rapid Least Concern: towards automating Red List assessments. Biodiversity Data Journal 8: e47018. https://doi.org/10.3897/BDJ.8.e47018
48. Rapid Least Concern: towards automating Red List assessments
49. Progress, challenges and opportunities for Red Listing
50. Plant States and Fates: Response to Pimm and Raven
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