164 research outputs found

    Domain wall magnetoresistance in BiFeO₃ thin films measured by scanning probe microscopy

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    We measure the magnetotransport properties of individual 71° domain walls in multiferroic BiFeO₃ by means of conductive-atomic force microscopy (C-AFM) in the presence of magnetic fields up to one Tesla. The results suggest anisotropic magnetoresistance at room temperature, with the sign of the magnetoresistance depending on the relative orientation between the magnetic field and the domain wall plane. A consequence of this finding is that macroscopically averaged magnetoresistance measurements for domain wall bunches are likely to underestimate the magnetoresistance of each individual domain wall

    INITIAL DEVELOPMENT AND QUALITY OF SAPLINGS OF Copaifera langsdorffii Desf. UNDER DIFFERENT LEVELS OF SHADING

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    As florestas de galeria v\ueam sendo fragmentadas, levando \ue0 perda de sua elevada diversidade, tornando-se imprescind\uedveis estudos que avaliem o comportamento ecol\uf3gico de suas esp\ue9cies arb\uf3reas. O presente estudo teve como objetivo testar a hip\uf3tese de que a produ\ue7\ue3o de mudas de Copaifera langsdorffii \ue9 influenciada pela luminosidade do ambiente, apresentando maior qualidade e desenvolvimento inicial em n\uedveis intermedi\ue1rios de luz. As plantas foram testadas em pleno sol, 30%, 50%, 70% e 90% de sombreamento, avaliando-se n\ufamero de folhas, altura e di\ue2metro aos 60, 90, 120 e 191 dias ap\uf3s a emerg\ueancia (DAE) e massa seca a\ue9rea e radicular e, \uedndice de qualidade de Dickson ao final do experimento (191 DAE). O efeito dos n\uedveis de sombreamento foi analisado por meio de an\ue1lise de regress\ue3o. As plantas apresentaram boa plasticidade de crescimento nos diferentes n\uedveis de luminosidade, mas com melhor desenvolvimento e qualidade (IQD) em 50% de sombreamento, corroborando a hip\uf3tese testada. A luminosidade ou sombreamento excessivo devem ser evitados para garantir a produ\ue7\ue3o de mudas mais vigorosas de Copaifera langsdorffii. Assim, recomenda-se a produ\ue7\ue3o de mudas desta esp\ue9cie sob 50% de sombreamento para favorecer a sua qualidade e possivelmente garantir melhor sobreviv\ueancia em campo.The gallery forests are being fragmented, leading to loss of its high diversity, becoming indispensable studies assessing the environmental performance of their tree species. The objective of this study was to test the hypothesis that the production of seedlings Copaifera langsdorffii is influenced by ambient light, higher quality and initial development at intermediate light levels. Plants were tested in full sun, 30%, 50%, 70% and 90% shading in order to evaluate the number of leaves, height and diameter at 60, 90, 120 and 191 days after emergence (DAE) and dry root and shoot biomass and Dickson quality index (DQI) at the end of the experiment (191 DAE). The effect of shading levels was analyzed by means of regression analysis. The plants showed good growth plasticity at different levels of lightness, but with better development and quality (IQD) at 50% shade, corroborating the hypothesis tested. The excessive lightness or shading should be avoided to ensure the production of more vigorous seedlings of Copaifera langsdorffii. Thus, production of seedlings of this species under 50% shade is recommended to promote their quality and possibly ensure better survival in the field

    Soil water-holding capacity and monodominance in Southern Amazon tropical forests

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    Background and aims: We explored the hypothesis that low soil water-holding capacity is the main factor driving the monodominance of Brosimum rubescens in a monodominant forest in Southern Amazonia. Tropical monodominant forests are rare ecosystems with low diversity and high dominance of a single tree species. The causes of this atypical condition are still poorly understood. Some studies have shown a relationship between monodominance and waterlogging or soil attributes, while others have concluded that edaphic factors have little or no explanatory value, but none has accounted for soil-moisture variation other than waterlogging. This study is the first to explicitly explore how low soil water-holding capacity influences the monodominance of tropical forests. Methods: We conducted in situ measurements of vertical soil moisture using electrical resistance collected over 1 year at 0–5; 35–40 and 75–80 cm depths in a B. rubescens monodominant forest and in an adjacent mixed-species forest in the Amazon-Cerrado transition zone, Brazil. Minimum leaf water potential (Ψmin) of the seven most common species, including B. rubescens, and soil water-holding capacity for both forests were determined. Results: The vertical soil moisture decay pattern was similar in both forests for all depths. However, the slightly higher water availability in the monodominant forest and Ψmin similarity between B. rubescens and nearby mixed forest species indicate that low water-availability does not cause the monodominance. Conclusions: We reject the hypothesis that monodominance of B. rubescens is primarily determined by low soil water-holding capacity, reinforcing the idea that monodominance in tropical forests is not determined by a single factor

    Pantropical modelling of canopy functional traits using Sentinel-2 remote sensing data

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    Funding Information: This work is a product of the Global Ecosystems Monitoring (GEM) network (gem.tropicalforests.ox.ac.uk). J.A.G. was funded by the Natural Environment Research Council (NERC; NE/T011084/1 and NE/S011811/1) and the Netherlands Organisation for Scientific Research (NWO) under the Rubicon programme with project number 019.162LW.010. The traits field campaign was funded by a grant to Y.M. from the European Research Council (Advanced Grant GEM-TRAIT: 321131) under the European Union‘s Seventh Framework Programme (FP7/2007-2013), with additional support from NERC Grant NE/D014174/1 and NE/J022616/1 for traits work in Peru, NERC Grant ECOFOR (NE/K016385/1) for traits work in Santarem, NERC Grant BALI (NE/K016369/1) for plot and traits work in Malaysia and ERC Advanced Grant T-FORCES (291585) to Phillips for traits work in Australia. Plot setup in Ghana and Gabon were funded by a NERC Grant NE/I014705/1 and by the Royal Society-Leverhulme Africa Capacity Building Programme. The Malaysia campaign was also funded by NERC GrantNE/K016253/1. Plot inventories in Peru were supported by funding from the US National Science Foundation Long-Term Research in Environmental Biology program (LTREB; DEB 1754647) and the Gordon and Betty Moore Foundation Andes-Amazon Program. Plots inventories in Nova Xavantina (Brazil) were supported by the National Council for Scientific and Technological Development (CNPq), Long Term Ecological Research Program (PELD), Proc. 441244/2016-5, and the Foundation of Research Support of Mato Grosso (FAPEMAT), Project ReFlor, Proc. 589267/2016. During data collection, I.O. was supported by a Marie Curie Fellowship (FP7-PEOPLE-2012-IEF-327990). GEM trait data in Gabon was collected under authorisation to Y.M. and supported by the Gabon National Parks Agency. D.B. was funded by the Fondation Wiener-Anspach. W.D.K. acknowledges support from the Faculty Research Cluster ‘Global Ecology’ of the University of Amsterdam. M.S. was funded by a grant from the Ministry of Education, Youth and Sports of the Czech Republic (INTER-TRANSFER LTT19018). Y.M. is supported by the Jackson Foundation. We thank the two anonymous reviewers and Associate Editor G. Henebry for their insightful comments that helped improved this manuscript.Peer reviewedPostprin

    Tropical forest lianas have greater non-structural carbohydrate concentrations in the stem xylem than trees

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    Lianas (woody vines) are important components of tropical forests and are known to compete with host trees for resources, decrease tree growth and increase tree mortality. Given the observed increases in liana abundance in some forests and their impacts on forest function, an integrated understanding of carbon dynamics of lianas and liana-infested host trees is critical for improved prediction of tropical forest responses to climate change. Non-structural carbohydrates (NSC) are the main substrate for plant metabolism (e.g., growth, respiration), and have been implicated in enabling tree survival under environmental stress, but little is known of how they vary among life-forms or of how liana infestation impacts host tree NSC. We quantified stem total NSC (NSC) concentrations and its fractions (starch and soluble sugars) in trees without liana infestation, trees with more than 50% of the canopy covered by lianas, and the lianas infesting those trees. We hypothesized that i) liana infestation depletes NSC storage in host trees by reducing carbon assimilation due to competition for resources; ii) trees and lianas, which greatly differ in functional traits related to water transport and carbon uptake, would also have large differences in NSC storage, and that As water availability has a significant role in NSC dynamics of Amazonian tree species, we tested these hypotheses within a moist site in western Amazonia and a drier forest site in southern Amazonia. We did not find any difference in NSC, starch or soluble sugar concentrations between infested and non-infested trees, in either site. This result suggests that negative liana impact on trees may be mediated through mechanisms other than depletion of host tree NSC concentrations. We found lianas have higher stem NSC and starch than trees in both sites. The consistent differences in starch concentrations, a long term NSC reserve, between life forms across sites reflect differences in carbon gain and use of lianas and trees. Soluble sugar concentrations were higher in lianas than in trees in the moist site but indistinguishable between life forms in the dry site. The lack of difference in soluble sugars between trees and lianas in the dry site emphasize the importance of this NSC fraction for plant metabolism of plants occurring in water limited environments. Abstract in Portuguese and Spanish are available in the supplementary material. [Abstract copyright: © The Author(s) 2023. Published by Oxford University Press. All rights reserved. For permissions, please e-mail: [email protected].
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