THE QUEST FOR HOLY GRAILS IN LONG-TERM ECOLOGICAL RESEARCH PROGRAMS: POTENTIAL DANGERS AND SOLUTIONS

Autores

  • Marcus Vinícius Vieira Departamento de Ecologia, Instituto de Biologia, CCS Universidade Federal do Rio de Janeiro Av. Carlos Chagas Filho 373 Cidade Universitária - Ilha do Fundão CP 68020 Rio de Janeiro - RJ, CEP 21941-902 http://orcid.org/0000-0002-4472-5447

DOI:

https://doi.org/10.4257/oeco.2020.2402.01

Palavras-chave:

data management, long-term ecological research, research goal

Resumo

Long-term Ecological Research programs, LTERs, are necessary to understand processes that occur in time-scales longer than the period of theses, dissertations, and grants from most funding agencies. A basic result of a long-term study is the production long-term time series, but the establishment of general patterns and processes require data integration between many long-term studies and networks. These two main targets became like Holy Grails in LTERs, objectives on their own, many times dissociated from the questions they should provide answers. I discuss the advantages and potential pitfalls of these targets becoming Holy Grails in LTER, and Long-Term Socio-Ecological Research as a potential new Holy Grail.

Referências

Barbosa, F. A. R. B. 2013. Uma breve histórico de Programa de Pesquisas Ecológicas de Longa Duração (PELD-CNPq) do Brasil: da semente ao fruto. In: M. Tabarelli, C. F. D. da Rocha, H. P. Romanowski, O. Rocha, & L. D. de Lacerda (Eds.), Peld-CNPq: 10 Anos do Programa de Pesquisas Ecológicas de Longa Duração: achados, lições e perspectivas. pp. 13–28. Recife: Editora da Universidade Federal de Pernambuco (UFPE).

Beckerman, A., Benton, T. G., Ranta, E., Kaitala, V., & Lundberg, P. 2002. Population dynamic consequences of delayed life-history effects. Trends in Ecology and Evolution, 17(6), 263–269. DOI: 10.1016/S0169-5347(02)02469-2

Bowler, D. E., Hof, C., Haase, P., Kröncke, I., Schweiger, O., Adrian, R., Baert, L., Bauer, H.-G., Blick, T., Brooker, R. W., Dekoninck, W., Domisch, S., Eckmann, R., Hendrickx, F., Hickler, T., Klotz, S., Kraberg, A., Kühn, I., Matesanz, S., Meschede, A., Neumann, H., O’Hara, R., Russell, D. J., Sell, A. F., Sonnewald, M., Stoll, S., Sundermann, A., Tackenberg, O., Türkay, M., Valladares, F., van Herk, K., van Klink, R., Vermeulen, R., Voigtländer, K., Wagner, R., Welk, E., Wiemers, M., Wiltshire, K. H., & Böhning-Gaese, K. 2017. Cross-realm assessment of climate change impacts on species’ abundance trends. Nature Ecology & Evolution, 1(3), 0067. DOI: 10.1038/s41559-016-0067

Carpenter, S. R., & Turner, M. G. 2000. Hares and Tortoises: Interactions of Fast and Slow Variablesin Ecosystems. Ecosystems, 3(6), 495–497. DOI: 10.1007/s100210000043

Dick, J., Orenstein, D. E., Holzer, J. M., Wohner, C., Achard, A. L., Andrews, C., Avriel-Avni, N., Beja, P., Blond, N., Cabello, J., Chen, C., Díaz-Delgado, R., Giannakis, G. V., Gingrich, S., Izakovicova, Z., Krauze, K., Lamouroux, N., Leca, S., Melecis, V., Miklós, K., Mimikou, M., Niedrist, G., Piscart, C., Postolache, C., Psomas, A., Santos-Reis, M., Tappeiner, U., Vanderbilt, K., & Van Ryckegem, G. 2018. What is socio-ecological research delivering? A literature survey across 25 international LTSER platforms. Science of the Total Environment, 622–623, 1225–1240. DOI: 10.1016/j.scitotenv.2017.11.324

Didham, R. K., Basset, Y., Collins, C. M., Leather, S. R., Littlewood, N. A., Menz, M. H. M., Müller, J., Packer, L., Saunders, M. E., Schönrogge, K., Stewart, A. J. A., Yanoviak, S. P., & Hassall, C. 2020. Interpreting insect declines: seven challenges and a way forward. Insect Conservation and Diversity, 13(2), 103–114. DOI: 10.1111/icad.12408

Falaschi, M., Manenti, R., Thuiller, W., & Ficetola, G. F. 2019. Continental-scale determinants of population trends in European amphibians and reptiles. Global Change Biology, 25(10), 3504–3515. DOI: 10.1111/gcb.14739

Fourcade, Y., Engler, J. O., Rödder, D., & Secondi, J. 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(5), e97122–e97122. DOI: 10.1371/journal.pone.0097122

Fournier, A. M. V., White, E. R., & Heard, S. B. 2019. Site-selection bias and apparent population declines in long-term studies. Conservation Biology, 33(6), 1370–1379. DOI: 10.1111/cobi.13371

Holy Grail. 2017. (Retrieved on May 30th, 2020, from https://www.merriam-webster.com/dictionary/Holy Grail).

Kohyama, T. S., Kohyama, T. I., & Sheil, D. 2018. Definition and estimation of vital rates from repeated censuses: Choices, comparisons and bias corrections focusing on trees. Methods in Ecology and Evolution, 9(4), 809–821. DOI: 10.1111/2041-210X.12929

König, C., Weigelt, P., Schrader, J., Taylor, A., Kattge, J., & Kreft, H. 2019. Biodiversity data integration—the significance of data resolution and domain. PLOS Biology, 17(3), e3000183. DOI: 10.1371/journal.pbio.3000183

Legrand, D., Cote, J., Fronhofer, E. A., Holt, R. D., Ronce, O., Schtickzelle, N., Travis, J. M. J. J., & Clobert, J. 2017. Eco-evolutionary dynamics in fragmented landscapes. Ecography, 40(1), 9–25. DOI: 10.1111/oik.02629

Lindenmayer, D. B., Likens, G. E., Andersen, A., Bowman, D., Bull, C. M., Burns, E., Dickman, C. R., Hoffmann, A. A., Keith, D. A., Liddell, M. J., Lowe, A. J., Metcalfe, D. J., Phinn, S. R., Russell-Smith, J., Thurgate, N., & Wardle, G. M. 2012. Value of long-term ecological studies. Austral Ecology, 37(7), 745–757. DOI: 10.1111/j.1442-9993.2011.02351.x

Ludwig, D., Jones, D. D., & Holling, C. S. 1978. Qualitative Analysis of Insect Outbreak Systems: The Spruce Budworm and Forest. Journal of Animal Ecology, 47(1), 315–332. DOI: 10.2307/3939

Mirtl, M., T. Borer, E., Djukic, I., Forsius, M., Haubold, H., Hugo, W., Jourdan, J., Lindenmayer, D., McDowell, W. H., Muraoka, H., Orenstein, D. E., Pauw, J. C., Peterseil, J., Shibata, H., Wohner, C., Yu, X., & Haase, P. 2018. Genesis, goals and achievements of Long-Term Ecological Research at the global scale: A critical review of ILTER and future directions. Science of the Total Environment, 626, 1439–1462. DOI: 10.1016/j.scitotenv.2017.12.001

Palmer, M. W. 1993. Potential biases in site and species selection for ecological monitoring. Environmental Monitoring and Assessment, 26(2–3), 277–282.

Parr, T. W. 2013. The International Long-Term Ecological Research Network and its role in global research policy. In: M. Tabarelli, C. F. D. da Rocha, H. P. Romanowski, O. Rocha, & L. D. de Lacerda (Eds.), Peld-CNPq: 10 Anos do Programa de Pesquisas Ecológicas de Longa Duração: achados, lições e perspectivas. pp. 37–56. Recife: Editora da Universidade Federal de Pernambuco (UFPE).

Pechmann, J. H. K., Scott, D. E., Semlitsch, R. D., Caldwell, J. P., Vitt, L. J., & Gibbons, J. W. 1991. Declining amphibian populations: The problem of separating human impacts from natural fluctuations. Science, 253(5022), 892–895. DOI: 10.1126/science.253.5022.892

Reinke, B. A., Miller, D. A. W., & Janzen, F. J. 2019. What Have Long-Term Field Studies Taught Us About Population Dynamics? Annual Review of Ecology, Evolution, and Systematics, 50(1), 261–278. DOI: 10.1146/annurev-ecolsys-110218-024717

Roque, F. D. O., Uehara-Prado, M., Valente-Neto, F., Quintero, J. M. O., Ribeiro, K. T., Martins, M. B., De Lima, M. G., Souza, F. L., Fischer, E., Da Silva, U. L., Ishida, F. Y., Gray-Spence, A., Pinto, J. O. P., Ribeiro, D. B., Martins, C. D. A., Renaud, P. C., Pays, O., & Magnusson, W. E. 2018. A network of monitoring networks for evaluating biodiversity conservation effectiveness in Brazilian protected areas. Perspectives in Ecology and Conservation, 16(4), 177–185. DOI: 10.1016/j.pecon.2018.10.003

Scholes, R. J., Walters, M., Turak, E., Saarenmaa, H., Heip, C. H. R., Tuama, É. Ó., Faith, D. P., Mooney, H. A., Ferrier, S., Jongman, R. H. G., Harrison, I. J., Yahara, T., Pereira, H. M., Larigauderie, A., & Geller, G. 2012. Building a global observing system for biodiversity. Current Opinion in Environmental Sustainability, 4(1), 139–146. DOI: https://doi.org/10.1016/j.cosust.2011.12.005

Singh, S. J., Haberl, H., Chertow, M., Mirtl, M., & Schmid, M. 2012. Long term socio-ecological research: studies in society-nature interactions across spatial and temporal scales. Vol. 2Springer Science & Business Media.

Stolar, J., & Nielsen, S. E. 2015. Accounting for spatially biased sampling effort in presence-only species distribution modelling. Diversity and Distributions, 21(5), 595–608. DOI: 10.1111/ddi.12279

Tabarelli, M., Rocha, C. F. D. da, Romanowski, H. P., Rocha, O., & Lacerda, L. D. de. 2013. PELD-CNPq: 10 anos do Programa de Pesquisas Ecológicas de Longa Duração do Brasil: achados, lições e perspectivas.Editora da Universidade Federal de Pernambuco (UFPE).

Tilman, D., May, R. M., Lehman, C. L., & Nowak, M. A. 1994. Habitat destruction and the extinction debt. Nature, 371(6492), 65–66.

Vanderbilt, K., & Gaiser, E. 2017. The International Long Term Ecological Research Network: a platform for collaboration. Ecosphere, 8(2), e01697. DOI: 10.1002/ecs2.1697

Downloads

Publicado

2020-06-15