Assessing bias and knowledge gaps on seed ecology research: Implications for conservation agenda and policy

Ecological Applications

Volumn 26, Issue 7, 2016, Pages 2033-2043

  Ribeiro, Guilherme V T ^a   Teixido, Alberto L ^a   Barbosa, Newton P U ^a   Silveira, Fernando A O ^a  

^a FEDERAL UNIVERSITY OF MINAS GERAIS   (Brazil)

Author keywords

Aichi Biodiversity Targets; Brazil; Functional group bias; Geographic bias; Hutchinsonian shortfall; Phylogenetic bias; Restoration; Seed banks; Seed traits; Threatened species

Indexed keywords

BIODIVERSITY; CONSERVATION PLANNING; ECOSYSTEM SERVICE; ENDANGERED SPECIES; FUNCTIONAL GROUP; GERMINATION; HERB; PHYLOGENETICS; POLICY MAKING; SEED BANK; SEED DISPERSAL; SEED PREDATION;

BRAZIL;

GABAZA; HUTCHINSONIA;

BIODIVERSITY; BRAZIL; CLASSIFICATION; CONSERVATIONAL SEED BANK; ENDANGERED SPECIES; ENVIRONMENTAL PROTECTION; GENETICS; PHYLOGENY; PLANT; PLANT SEED;

BIODIVERSITY; BRAZIL; CONSERVATION OF NATURAL RESOURCES; ENDANGERED SPECIES; PHYLOGENY; PLANTS; SEED BANK; SEEDS;

EID: 85027929269     PISSN: None     EISSN: 19395582     Source Type: Journal    
DOI: 10.1890/15-1852.1/suppinfo     Document Type: Article

References (67)

1. Aichi Biodiversity Targets. 2010. Strategic Plan for Biodiversity. Convention on Biological Diversity, United Nations Environment Programme, Nairobi, Kenya. http://www.cbd.int/sp/default.shtml
2. Angiosperm Phylogeny Group 2009. An update of the Angiosperm Phylogeny Group classification for the orders and families of flowering plants: APG III. Botanical Journal of the Linnean Society 161:105-121.
3. Araújo, M. B., F. Ferri-Yáñez, F. Bozinovic, P. A. Marquet, F. Valladares, and S. L. Chown. 2013. Heat freezes niche evolution. Ecology Letters 16:1206-1219.
4. Barroso, G. M., M. P. Morim, A. L. Peixoto, and C. L. F. Ichaso. 1999. Fruits and seeds: Morphology applied to the systematic of dicotyledonous. Universidade Federal de Viçosa, Viçosa, Brazil.
5. Bernard, E., L. A. O. Penna, and E. Araújo. 2014. Downgrading, downsizing, degazettement, and reclassification of protected areas in Brazil. Conservation Biology 28:939-950.
6. Bini, L. M., J. A. F. Diniz-Filho, T. F. L. V. B. Rangel, R. P. Bastos, and M. P. Pinto. 2006. Challenging Wallacean and Linnean shortfalls: Knowledge gradients and conservation planning in a biodiversity hotspot. Diversity and Distributions 12:475-482.
7. Boakes, E. H., P. J. K. McGowan, R. A. Fuller, D. Changqing, N. E. Clark, K. O'Connor, and G. M. Mace. 2010. Distorted views of biodiversity: Spatial and temporal bias in species occurrence data. PLoS Biology 8:1-11.
8. Brazilian Flora Species List. 2014. Rio de Janeiro Botanical Garden, Rio de Janeiro, Brazil. http://www.floradobrasil. jbrj.gov.br
9. Breed, M. F., M. G. Stead, K. M. Ottewell, M. G. Gardner, and A. J. Lowe. 2013. Which provenance and where?. Seed sourcing strategies for revegetation in a changing environment. Conservation Genetics 14:1-10.
10. Bruna, E. M. 1999. Seed germination in rainforests fragments. Nature 402:139.
11. Cardoso, P., T. L. Erwin, P. A. V. Borges, and T. R. New. 2011. The seven impediments in invertebrate conservation and how to overcome them. Biological Conservation 144:2647-2655.
12. Clark, J. A., and R. M. May. 2002. Taxonomic bias in taxonomic research. Science 297:191-192.
13. Costa, G. C., C. Nogueira, R. B. Machado, and G. R. Colli. 2010. Sampling bias and the use of ecological niche modeling in conservation planning: A field evaluation in a biodiversity hotspot. Biodiversity and Conservation 19:883-899.
14. Dirzo, R., H. S. Young, M. Galetti, G. Ceballos, N. J. B. Isaac, and B. Collen. 2014. Defaunation in the anthropocene. Science 345:401-406.
15. Donohue, K., R. R. Casas, L. Burghardt, K. Kovach, and C. G. Willis. 2010. Germination, postgermination adaptation, and species ecological ranges. Annual Review of Ecology, Evolution and Systematics 41:293-319.
16. Driscoll, D. A., et al. 2014. The trajectory of dispersal research in conservation biology. Systematic review. PLoS ONE 9:1-18.
17. Ferreira, J., et al. 2014. Brazil's environmental leadership at risk: Mining and dams threaten protected areas. Science 346:706-707.
18. Fourcade, Y., J. O. Engler, D. Rodder, and J. Secondi. 2014. Mapping species distributions with MAXENT using a geographically biased sample of presence data: A performance assessment of methods for correcting sampling bias. PLoS ONE 9:e97122.
19. Godefroid, S., et al. 2013. Germination capacity and seed storage behaviour of threatened metallophytes from the Katanga copper belt: Implications for ex situ conservation. Plant Ecology and Evolution 146:183-192.
20. Haidet, M., and P. Olwell. 2015. Seeds of success: A national seed banking program working to achieve long-term conservation goals. Natural Areas Journal 35:165-173.
21. Havens, K., P. Vitt, S. Still, A. T. Kramer, J. B. Fant, and K. Schatz. 2015. Seed sourcing for restoration in an era of climate change. Natural Areas Journal 35:122-133.
22. Hay, F. R., and R. J. Probert. 2013. Advances in seed conservation of wild plant species: A review of recent research. Conservation Physiology 1:1-11.
23. Hoffmann, P. M., C. T. Blum, S. J. E. Velazco, D. J. C. Gill, and M. Borgo. 2015. Identifying target species and seed sources for the restoration of threatened trees in southern Brazil. Oryx 49:425-430.
24. Hothorn, T., F. Bretz, and P. Westfall. 2008. Simultaneous inference in general parametric models. Biometrical Journal 50:346-363.
25. Hudson, A. R., D. J. Ayre, and M. K. J. Ooi. 2015. Physical dormancy in a changing climate. Seed Science Research 25:66-81.
26. IUCN, WWF-Brasil, IPE. 2011. Metas de Aichi: Situação atual no Brasil. IUCN, WWF-Brasil, IPE, Brasília, Brazil.
27. Jeschke, J. M., L. M. Aparicio, S. Haider, T. Heger, C. J. Lortie, P. Pyšek, and D. L. Strayer. 2012. Taxonomic bias and lack of cross-taxonomic studies in invasion biology. Frontiers in Ecology and the Environment 10:349-350.
28. Katajisto, J. K., and A. Moilanen. 2006. Kernel-based home range method for data with irregular sampling interval. Ecological Modelling 194:405-413.
29. Kattge, J., S. Diaz, S. Lavorel, I. C. Prentice, P. Leadley, G. Bönisch, and J. H. Cornelissen. 2011. TRY: A global database of plant traits. Global Change Biology 17:2905-2935.
30. Kier, G., J. Mutke, E. Dinerstein, T. H. Ricketts, W. Küper, H. Kreft, and W. Barthlott. 2005. Global patterns of plant diversity and floristic knowledge. Journal of Biogeography 32:1-10.
31. Le Saout, S., et al. 2013. Protected areas and effective biodiversity conservation. Science 342:803-805.
32. Martin, L. J., B. Blossey, and E. Ellis. 2012. Mapping where ecologists work: Biases in the global distribution of terrestrial ecological observations. Frontiers in Ecology and the Environment 10:195-201.
33. Martinelli, G., and M. A. Moraes. 2013. Red book of the Brazilian flora. Rio de Janeiro Botanical Garden, Rio de Janeiro. Brazil. http://www.cncflora.jbrj.gov.br
34. Merritt, D. J., and K. W. Dixon. 2011. Restoration seed banks: A matter of scale. Science 332:424-425.
35. Merritt, D. J., et al. 2014. A continental-scale study of seed lifespan in experimental storage examining seed, plant, and environmental traits associated with longevity. Biodiversity and Conservation 23:1081-1104.
36. MMA. 2015. Fifth national report to the Convention on Biological Diversity. Brazilian Ministry of the Environment, Secretariat of Biodiversity and Forest, Brasília, Brazil.
37. Moerman, D. E., and G. F. Estabrook. 2006. The botanist effect: Counties with maximal species richness tend to be home to universities and botanists. Journal of Biogeography 33:1969-1974.
38. Mokany, K., and S. Ferrier. 2011. Predicting impacts of climate change on biodiversity: A role for semi-mechanistic community-level modeling. Diversity and Distributions 17:374-380.
39. Mueller, T., J. Lenz, T. Caprano, W. Fiedler, and K. Böhning-Gaese. 2014. Large frugivorous birds facilitate functional connectivity of fragmented landscapes. Journal of Applied Ecology 51:684-692.
40. Myers, N., R. A. Mittermeier, C. G. Mittermeier, G. A. B. Fonseca, and J. Kent. 2000. Biodiversity hotspots for conservation priorities. Nature 403:853-858.
41. Nelson, B. W., C. A. C. Ferreira, M. F. Silva, and M. L. Kawasaki. 1990. Endemism centres, refugia and botanical collection density in Brazilian Amazonia. Nature 345:714-716.
42. Nemésio, A., D. P. Seixas, and H. L. Vasconcelos. 2013. The public perception of animal diversity: What do postage stamps tell us?. Frontiers in Ecology and the Environment 11:9-10.
43. Oliveira, U., A. D. Brescovit, and A. J. Santos. 2015. Delimiting areas of endemism through kernel interpolation. PLoS ONE 10:e0116673.
44. Pardo, I., M. P. Pata, D. Gómez, and M. B. Garcia. 2013. A novel method to handle the effect of uneven sampling effort in biodiversity databases. PLoS ONE 8:1-9.
45. Pereira, A. R. 2008. Como selecionar plantas para áreas degradadas e controle de erosão. FAPI, Belo Horizonte, Brazil.
46. Possingham, H. P., S. J. Andelman, M. A. Burgman, R. A. Medellín, L. L. Master, and D. A. Keith. 2002. Limits to the use of threatened species lists. Trends in Ecology and Evolution 17:503-507.
47. Probert, R. J., M. I. Daws, and F. R. Hay. 2009. Ecological correlates of ex situ seed longevity: A comparative study on 195 species. Annals of Botany 104:57-69.
48. R Development Core Team. 2010. R Foundation for Statistical Computing, Vienna, Austria. http://www.R-project.org
49. Rodrigues, R. R., R. A. F. Lima, S. Gandolfi, and A. G. Nave. 2009. On the restoration of high diversity forests: 30 years of experience in the Brazilian Atlantic Forest. Biological Conservation 142:1242-1251.
50. Sampaio, A. B., K. D. Holl, and A. Scariot. 2007. Does restoration enhance regeneration of seasonal deciduous forests in pastures in central Brazil?. Restoration Ecology 15:462-471.
51. Sandel, B., A. G. Gutiérrez, P. B. Reich, F. Schrodt, J. Dickie, and J. Kattge. 2015. Estimating the missing species bias in plant trait measurements. Journal of Vegetation Science 26:828-838.
52. Santos, J. G., A. C. M. Malhado, R. J. Ladle, R. A. Correia, and M. H. Costa. 2015. Geographic trends and information deficits in Amazonian conservation research. Biodiversity and Conservation 24:2853-2863.
53. Scarano, F. R., and P. Ceotto. 2015. Brazilian Atlantic forest: Impact, vulnerability, and adaptation to climate change. Biodiversity and Conservation 24:2319-2331.
54. Schleuning, M., J. Fründ, and D. García. 2015. Predicting ecosystem functions from biodiversity and mutualistic networks: An extension of trait-based concepts to plant- animal interactions. Ecography 38:380-392.
55. Schmidt-Lebuhn, A. N., N. J. Knerr, and M. Kessler. 2013. Non-geographic collecting biases in herbarium specimens of Australian daisies (Asteraceae). Biodiversity and Conservation 22:905-919.
56. Seaman, D. E., and R. A. Powell. 1996. An evaluation of the accuracy of kernel density estimators for home range analysis. Ecology 77:2075-2085.
57. Silverman, B. W. 1986. Density estimation for statistics and data analysis. Chapman and Hall, New York, New York, USA.
58. Smith, P., J. Dickie, S. Linington, R. Probert, and M. Way. 2011. Making the case for plant diversity. Seed Science Research 21:1-4.
59. Soares-Filho, B., R. Rajão, M. Macedo, A. Carneiro, W. Costa, M. Coe, H. Rodrigues, and A. Alencar. 2014. Cracking Brazil's Forest Code. Science 344:363-364.
60. Sousa-Baena, M. S., L. C. Garcia, and A. T. Perterson. 2014. Knowledge behind conservation status decisions: Data basis for "data deficient" Brazilian plant species. Biological Conservation 173:80-89.
61. Tabarelli, M., and C. Peres. 2002. Abiotic and vertebrate seed dispersal in the Brazilian Atlantic Forest: Implication for forest regeneration. Biological Conservation, 106:165-176.
62. Veldman, J. W., et al. 2015. Where tree planting and forest expansion is bad for biodiversity and ecosystem services. BioScience 65:1011-1018.
63. Walck, J. L., S. N. Hidayati, K. W. Dixon, K. Thompson, and P. Poschlod. 2011. Climate change and plant regeneration from seed. Global Change Biology 17:2145-2161.
64. van der Wall, S. B., K. M. Kuhn, and M. J. Beck. 2005. Seed removal, seed predation, and secondary dispersal. Ecology 86:801-806.
65. Williams, N. 2007. A billion seeds and counting. Current Biology 17:387-388.
66. Yang, W., K. Ma, and H. Kreft. 2013. Geographical sampling bias in a large distributional database and its effects on species richness-environment models. Journal of Biogeography 40:1415-1426.
67. Zar, J. H. 1999. Biostatistical analysis. Prentice Hall, Upper Saddle River, New Jersey, USA.