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Determining ecosystem functioning in Brazilian biomes through foliar carbon and nitrogen concentrations and stable isotope ratios.

Authors :
Martinelli, L. A.
Nardoto, G. B.
Soltangheisi, A.
Reis, C. R. G.
Abdalla-Filho, A. L.
Camargo, P. B.
Domingues, T. F.
Faria, D.
Figueira, A. M.
Gomes, T. F.
Lins, S. R. M.
Mardegan, S. F.
Mariano, E.
Miatto, R. C.
Moraes, R.
Moreira, M. Z.
Oliveira, R. S.
Ometto, J. P. H. B.
Santos, F. L. S.
Sena-Souza, J.
Source :
Biogeochemistry; Jun2021, Vol. 154 Issue 2, p405-423, 19p
Publication Year :
2021

Abstract

By analyzing 6,480 tree leaf samples from 57 sites within Brazilian biomes, we considered whether vegetation types in terrestrial ecosystems reflect biogeochemical diversity and whether they fit into a leaf economics spectrum (LES). To achieve this, we investigated the relations among leaf carbon (C) and nitrogen (N) concentrations, their isotope natural abundance and C:N ratio. In addition, we tested their correlations with mean annual temperature (MAT) and precipitation (MAP), as climatic factors. We found consistent differences in the C and N concentrations and their isotopic composition among the vegetation types. MAP is the main climatic driver of changes in N, C:N ratio, δ<superscript>15</superscript>N, and δ<superscript>13</superscript>C, correlating negatively with N and positively with C:N ratio. These relations show that these biomes follow an LES. The Caatinga had the highest δ<superscript>15</superscript>N values, suggesting that N residence time in soil is longer due to low leaching and plant uptake. We observed that MAP is not the only factor influencing δ<superscript>13</superscript>C values in different biomes; instead canopy effect probably explains the highest values observed in the Cerrado. Our results reinforce earlier findings that life diversity in the tropics reflects biogeochemistry diversity and leaf δ<superscript>15</superscript>N opens the possibility for investigating plant trade-offs dictated by the LES. Finally, we expect our findings to contribute to a better understanding of the tropics in global climate models. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
01682563
Volume :
154
Issue :
2
Database :
Complementary Index
Journal :
Biogeochemistry
Publication Type :
Academic Journal
Accession number :
150854473
Full Text :
https://doi.org/10.1007/s10533-020-00714-2