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作 者:Vinícius Londe Jaqueline Alves Pereira Hildeberto Caldas de Sousa
机构地区:[1]Lisbon,Portugal [2]Ecology of Tropical Biomes Graduate Course,Federal University of Ouro Preto,Ouro Preto,Minas Gerais 35400-000,Brazil [3]Department of Biodiversity,Evolution and Environment,Federal University of Ouro Preto,Ouro Preto,Minas Gerais 35400-000,Brazil
出 处:《Journal of Forestry Research》2021年第4期1419-1427,共9页林业研究(英文版)
基 金:supported by the Research,Graduate and Innovation Department (PROPP) of the Federal University of Ouro Preto (UFOP)。
摘 要:Although important,phenological studies comparing congeneric species or the same species growing in different habitats are still scarce for the tropics.Herein,we integrate phylogeny,ecology and biometeorology to verify whether the phenophases of congeneric species Myrcia laruotteana and Myrcia amazonica or Clethra scabra differ when their populations inhabit wetland and drained habitats and to determine what abiotic factors affect the vegetative and reproductive phenophases of these species in distinct habitat patches.We collected data on phenological events of 80 trees for 1 year in Itacolomi State Park,Brazil,and related them to abiotic local factors.Contrary to our expectation,the phenophases of the congeneric species did not differ between habitats,but the reproductive phenophases of C.scabra did and was greater in drained soil.Phenophases of C.scabra were affected by the depth of the water table and maximum temperature in the wetland soil.Insolation,precipitation,maximum temperature and relative humidity influenced Myrcia and Clethra in the drained soil.The differences between C.scabra populations suggest that this species is phenotypically plastic and can present distinct phenophases depending on the habitat it inhabits.On the other hand,the congeneric Myrcia species may have similar phenophases in distinct habitats because of their shared similarities during their evolution.This study provides a better understanding of the ecology of these species and their adaptations to different abiotic conditions.Data of this nature are important in a changing world and can inform strategies for adaptive management.
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