Plasticidade foliar de especies sob diferentes intensidades de luz em uma floresta urbana

Maria José de Holanda Leite

doi:10.48017/dj.v8i2.2465

Autores/as

Maria José de Holanda Leite Universidade Federal de Alagoas

DOI:

https://doi.org/10.48017/dj.v8i2.2465

Palabras clave:

Características foliares, luminosidad, característica funcional, estrés ambiental.

Resumen

Como características foliares das plantas são úteis para entender como mudanças na vegetação sob diferentes pressões ambientais, pois as especies lidam com variações nos níveis de luminosidade durante o processo de sucessão ecológico. Asumiendo que la disponibilidad de luz es un buen predictor de la variación de las características foliares, hipotetizamos que los ambientes tienen una mayor incidencia luminosa, tienen una mayor variación de las características foliares (medio y desvío del patrón) en un fragmento de floresta tropical urbana. Después de confirmar que como distâncias geográficas não influenciaram os valores dos índices de usoe foliar, foram construídos Modelos Lineares Mistos (LMMs) para verificar a influência da intensidade luminosa nas características foliares. Todas las características foliares evaluadas (AF = área foliar, TMSF = área de materia seca foliar, AFE = área foliar específica y Cc_massa = área de clorofila) apresentaram menor necesidade em A4<AB. A area com maior incidência de luz (A4<AB) apresentou minor variação no desvio padrão, o que pode indicar que as plants neste ambiente estão sob influência de distúrbios, o que leva à redução da consumible. A light não foi um bom indicador da selecte foliar. O AF, AFE, TMSF y Cc_mass, embora amplamente variáveis em termos morfológicos e fisiológicos, muestra ter menor variação na área com maior incidência de luz e maiores perturbações, indicando que ambientes mais perturbados influenciam na diminuição dae foliar.

Métricas

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Biografía del autor/a

Maria José de Holanda Leite, Universidade Federal de Alagoas

Vinculada à Universidade Federal de Alagoas.

Citas

APG IV (2016) The Angiosperm Phylogeny Group. An update of the Angiosperm Phylogeny Group classification for the orders and families of flowering plants: APG IV. Bot. J. Linn. Soc. 181. https://doi.org/10.1111/boj.12385

Bazzaz FA, Carlson RW. Photosynthetic acclimation to variability in the light environment of early and late successional plants. Oecologia. 1982;54(3):313-316.https://doi.org/10.1007/BF00379999

Boukili VK, Chazdon, RL (2017) Environmental filtering, local site factors and landscape context drive changes in functional trait composition during tropical forest succession. Perspectives in Perspect. Plant Ecol. Syst. 24:37–47. https://doi.org/10.1016/j.ppees.2016.11.003

Cornelissen JHC, Quested H, van Logtestijn R (2006). Foliar pH as a new plant trait: can it explain variation in foliar chemistry and carbon cycling processes among subarctic plant species and types? Oecologia 147:315–326. https://doi.org/10.1007/s00442-005-0269-z

Coutinho RQ (1998) Características climáticas, geológicas, geomorfológicas e geotécnicas da Reserva Ecológica de Dois Irmãos. Recife Pernambuco-Brasil pp. 21–50.

Crawley MJ (2007) The R Book. New York: Wiley.

Dorn LA, Pyle EH, Schmitt J. (2000) Plasticity to light cues and resources in Arabidopsis thaliana: testing for adaptive value and costs. Evolution 54:1982-1994. https://doi.org/10.1111/j.0014-3820.2000.tb01242.x

Frazer GW, Canham CD, Lertzman KP (1999). Gap Light Analyzer (GLA), Version 2.0: Imaging software to extract canopy structure and gap light transmission indices from true-colour fisheye photographs, user’s manual and program documentation. New York.

Freitas MA, Costa F, Morais A (2011) Manual de Instalação Parcelas RAPELD: Protocolo de Instalação de Parcelas Terrestres. INPA. Available in: http://ppbio.inpa.gov.br/manuais. Accessed: 19 September 2014.

Gratani L (2014) Plant phenotypic plasticity in response to environmental factors. Adv. Bot. Res. Article ID 208747, 17 p. http://dx.doi.org/10.1155/2014/208747

Ibge (2012) Instituto Brasileiro de Geografia e Estatística. Manuais Técnicos em Geociências: Manual Técnico da Vegetação Brasileira, Rio de Janeiro.

IBM Corp. Released (2011) IBM SPSS Statistics for Windows, Version 20.0. Armonk, NY: IBM Corp.

Kraft N, Ackerly DD (2014) The assembly of plant communities. In: R. Monson (editor). The Plant Sciences - ecology and the environment. Berlin: Springer-Verlag. p. 67-88.

Lasky JR, Sun, IF, Su SH, Chen, ZS, Keitt, TH (2013) Trait-mediated effects of environmental filtering on tree community dynamics. J. Ecol. 101:722–733.doi: 10.1111/1365-2745.12065

Laurans M, Martin O, Nicolini E, Vincent G (2012). Functional traits and their plasticity predict tropical trees regeneration niche even among species with intermediate light requirements. J. Ecology 100:1440–1452. https://doi.org/10.1111/j.1365-2745.2012.02007.x

Lebrija-Trejos E, Meave JA, Poorter L, Perez-Garcia A, Bongers FE (2010) Pathways, mechanisms and predictability of vegetation change during tropical dry forest succession. Perspect. Plant Ecol. 12:267–275. https://doi.org/10.1016/j.ppees.2010.09.002

Legendre P, Fortin MJ (1989) Spatial pattern and ecological analysis. Vegetatio 80:107–138. https://doi.org/10.1007/BF00048036

Letcher SG, Chazdon RL (2009) Rapid recovery of biomass, species richness, and species composition in a forest chronosequence in Northeastern Costa Rica. Biotropica 41:608-617. https://doi.org/10.1111/j.1744-7429.2009.00517.x

Letcher SG, Chazdon RL (2009) Rapid recovery of biomass, species richness, and species composition in a forest chronosequence in northeastern Costa Rica. Biotropica 41:608-617.https://doi.org/10.1111/j.1744-7429.2009.00517.x

Lohbeck M, Poorter L, Lebrija-Trejos E, Martínez-Ramos M, Meave JA, Paz H, Pérez-García EA, Romero-Pérez IE, Tauro A, Bongers F (2013) Successional changes in functional composition contrast for dry and wet tropical forest. Ecol. 94:1211–1216. https://doi.org/10.1890/12-1850.1

Lusk CH, Falster DS, Jara‐Vergara CK, Jimenez‐Castillo M, Saldaña‐Mendoza A (2008) Blackwell Publishing Ltd Ontogenetic variation in light requirements of juvenile rainforest evergreens. Funct. Ecol. 22:454–459. https://doi.org/10.1111/j.1365-2435.2008.01384.x

Magnusson WE, Lima AP, Luizão R, Luizão F, Costa FRC, Castilho CV, Kinupp VF (2005) RAPELD: a modification of the Gentry method for biodiversity surveys in long-term ecological research sites. Biota Neotrop. 2:1–6. http://dx.doi.org/10.1590/S1676-06032005000300002

Malhi Y, Girardin CA, Goldsmith GR, Doughty CE, Salinas N, Metcalfe DB, ... & Aragão LE (2016) The variation of productivity and its allocation along a tropical elevation gradient: a whole carbon budget perspective. New Phytol. 214:1019–1032. http://doi: 10.1111/nph.14189

Mc-cune MJ, Mefford (2011) PC-ORD. Multivariate Analysis of ecological data. Version 6 MJM Software, Gleneden Beach, U.S.A.

Menge DNL, Chazdon RL (2016) Higher survival drives the success of nitrogen-fixing trees through succession in Costa Rican rainforests. New Phytol. 209:965-977. http://doi: 10.1111/nph.13734

Nicotra AB, Atkin OK, Bonser SP, Davidson AM, Finnegan EJ, Mathesius U, Poot P, Purugganan MD, Richards CL, Valladares F, van Kleunen M (2010) Plant phenotypic plasticity in a changing climate. Trends Plant Sci. 15:684–692. https://doi.org/10.1016/j.tplants.2010.09.008

O’neal ME, Landis D, Isaacs R (2002) An inexpensive, accurate method for measuring leaf area and defoliation through digital image analysis. J. Econ. Entomol. 95:1190-1194. https://doi.org/10.1603/0022-0493-95.6.1190

Pérez-Harguindeguy N, Diaz S, Gamier E, Lavorel S, Poorter H, Jaureguiberry P, ... & Urcelay C (2013) New handbook for standardized measurement of plant functional traits worldwide. Aust. J. Bot. 61:167–234. https://doi.org/10.1071/BT12225_CO

Pernambuco (2014) Decreto nº 40.547, de 28 de março de 2014. Amplia os limites da unidade de conservação Parque Estadual de Dois Irmãos. Diário Oficial do Estado de Pernambuco.

Poorter L (2009) Leaf traits show different relationships with shade tolerance in moist versus dry tropical forests. New Phytol. 181:890–900. https://doi.org/10.1111/j.1469-8137.2008.02715.x

R Core Team (2016) R, A Language and Environment for Statistical Computing. Vienna, Austria: R Foundation for Statistical Computing. http://www.R-project.org

Ramírez-Valiente JA, Valladares F, Delgado A, Nicotra AB, Aranda I (2015) Understanding the importance of intrapopulation functional variability and phenotypic plasticity in Quercus suber. Tree Genet. Genomes 11:1-11. https://doi: 10.1007/s11295-015-0856-z

Réjou-Méchain M, Blaise T, Lilian, B, Sophie F, Ted RF, Monteagudo A, Phillips OL, Chave J (2015) Using repeated small-footprint lidar acquisitions to infer spatial and temporal variations of a high-biomass Neotropical forest. Remote Sens. Environ. 169:93–101. https://doi.org/10.1016/j.rse.2015.08.001

Rôças G, Barros CF, Scarano FR (1997) Leaf anatomy plasticity of Alchornea triplinervia (Euphorbiaceae) under distinct light regimes in a Brazilian montane Atlantic rain forest. Trees Structure and Function 11:469-473. https://doi.org/10.1007/PL00009688

Rozendaal DMA, Hurtado VH, Poorter L (2006) Plasticity in leaf traits of 38 tropical tree species in response to light; relationships with light demand and adult stature. Funct. Ecol. 20:207–216. https://doi.org/10.1111/j.1365-2435.2006.01105.

Schlichting CD, Wund MA (2014) Phenotypic plasticity and epigenetic marking: an assessment of evidence for genetic accommodation. Evol. 68:656-672. https://doi.org/10.1111/evo.12348

Slik JWF, Aiba SI, Brearley FQ, Cannon C H, Forshed O, Kitayama K, ... & Poulsen AD (2010) Environmental correlates of tree biomass, basal area, wood specific gravity and stem density gradients in Borneo’s tropical forests. Glob. Ecol. Biogeogr. 19:50–60. https://doi.org/10.1111/j.1466-8238.2009.00489.x

Strauss-Debenedetti S, Berlyn, GP (1994) Leaf anatomical responses to light in five tropical Moraceae of different successional status. Am. J. Bot. 81:1582-1591. https://doi.org/10.1002/j.1537-2197.1994.tb11470.x

Valladares F (2003) Light heterogeneity and plants: from ecophysiology to species coexistence and biodiversity. Progr. Bot. 64:439– 471.https://doi.org/10.1007/978-3-642-55819-1_17

Valladares F, Matesanz S, Guilhaumon F, Miguel B. Araújo MB, Balaguer L, Benito-Garzon M, Cornwell W, Gianoli E, Kleunen MV, Naya DE, Nicotra BA, Poorter H, Ramírez-Valiente JA (2015) Understanding the importance of intrapopulation functional variability and phenotypic plasticity in Quercus suber. Tree Genet. Genomes 11:1-11. http://doi.org/10.1007/s11295-015-0856-z

Valladares F, Sánchez-Gómez D, Zavala MA (2006) Quantitative estimation of phenotypic plasticity: bridging the gap between the evolutionary concept and its ecological applications. J. Ecol. 94:1103-1116. https://doi.org/10.1111/j.1365-2745.2006.01176.x

Valladares F, Wright SJ, Lasso E, Kitajima K, Pearcy RW (2000) Plastic phenotypic response to light of 16 congeneric shrubs from a panamanian rainforest. Ecol. 81:1925–1936. https://doi.org/10.1016/j.rse.2015.08.001

van Kleunen M and Fischer M (2005) Constraints on the evolution of adaptive phenotypic plasticity in plants. New Phytol. 166:49-60. http//doi.org/10.1111/j.1469-8137.2004.01296.x

Veneklaas EJ, Poorter L (1998) Growth and carbon partitioning of tropical tree seedlings in contrasting light environments. In: Lambers H, Poorter H, Van Vuuren MMI. (Ed.) Inherent variation in plant growth: physiological mechanisms and ecological consequences. Leiden: Backhuys, pp.337-361.

Venturoli, F, Franco AC, Fagg CW, Felfili JM (2012) Regime de luz em uma floresta estacional semidecídua sob manejo, em pirenópolis, goiás. Rev. Arv. 36:1135-1144.