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Title: Litter Production and Foliar Nutrient Resorption in Pioneer and Non-Pioneer Species in a Selective Logging Experiment in the Central Amazon, BIONTE, ZF-2, Manaus, 2022-23

Abstract

This dataset was collected near the city of Manaus, Brazil, at the Experimental Station of Tropical Forestry (EEST, aka “ZF2”), inside the BIONTE (BIOmass and NuTrient Experiment). The experiment included three levels of increasing selective logging intensity, along with control, with 1-hectare permanent plots (12 total) located at the center of 4-hectare treatment plots. The vegetation has a high floristic diversity, the soils of the region are poor in nutrients, and the topography is characterized by plateaus (where BIONTE is located), and also valley bottoms and slopes. Three treatments of differing logging intensities were applied in the BIONTE experiment (T1, T2 and T3). The study was conducted in Treatment 3 (Block I – permanent plot), which represents the most intensive logging treatment, with 69% of the basal area (m²∙ha⁻¹) removed in 1988. The present dataset spans the period from May 1, 2022, to May 1, 2023. The data package includes leaf_nutrient_data, litterfall_total_data, leaf_litterfall_species_specific_data, and species_info, all provided in .csv format. These formats allow users to process and analyze the data in various software applications and programming languages, such as Python and R. This dataset was collected to advance knowledge on nutrient cycling in Amazonian forests, specifically distinguishing between species withmore » two distinct functional traits: fast-growing and slow-growing. It also aims to improve Earth System Models, such as the E3SM Functionally Assembled Terrestrial Ecosystem Simulator (FATES). Additionally, it was used in a paper currently in preparation (Carvalho et al., in prep.), which aims to quantify seasonal litter production and foliar nutrient resorption in pioneer (fast-growing) and non-pioneer (slow-growing) tree species in the central Amazon. Specifically, it seeks to answer two key questions: 1) Is there a difference in leaf litter production, leaf nutrient flux and leaf nutrient concentration between pioneers and non-pioneers species? Is there a difference in the efficiency of foliar nutrient resorption between pioneers and non-pioneers species?« less

Authors:
ORCiD logo ; ORCiD logo ; ORCiD logo ; ORCiD logo ; ORCiD logo ; ; ORCiD logo
  1. Instituto Nacional de Pesquisas da Amazonia
  2. Lawrence Berkeley National Laboratory
  3. University of California Berkeley
Publication Date:
DOE Contract Number:  
AC02-05CH11231
Research Org.:
Next-Generation Ecosystem Experiments (NGEE) Tropics
Sponsoring Org.:
U.S. DOE > Office of Science > Biological and Environmental Research (BER); Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES) - Brazil; Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq) – Processo: 403839/2021-1 Chamada CNPq/MCTI/FNDCT Nº 18/2021; Fundação de Amparo à Pesquisa do Estado do Amazonas (FAPEAM)
Subject:
54 ENVIRONMENTAL SCIENCES; EARTH SCIENCE > BIOSPHERE > VEGETATION > LITTER CHARACTERISTICS; EARTH SCIENCE > BIOSPHERE > VEGETATION > PLANT PHENOLOGY; amazon forest; leaf nutrient content; litter nutrient content; litterfall; nutrient cycling; pioneer species; species-specific foliar nutrient retranslocation; wood density
OSTI Identifier:
2507467
DOI:
https://doi.org/10.15485/2507467

Citation Formats

Carvalho, Luciane, Bomfim, Barbara, Chambers, Jeffrey, Higuchi, Niro, Lima, Adriano, Souza, Cacilda Adélia, and Gimenez, Bruno. Litter Production and Foliar Nutrient Resorption in Pioneer and Non-Pioneer Species in a Selective Logging Experiment in the Central Amazon, BIONTE, ZF-2, Manaus, 2022-23. United States: N. p., 2025. Web. doi:10.15485/2507467.
Carvalho, Luciane, Bomfim, Barbara, Chambers, Jeffrey, Higuchi, Niro, Lima, Adriano, Souza, Cacilda Adélia, & Gimenez, Bruno. Litter Production and Foliar Nutrient Resorption in Pioneer and Non-Pioneer Species in a Selective Logging Experiment in the Central Amazon, BIONTE, ZF-2, Manaus, 2022-23. United States. doi:https://doi.org/10.15485/2507467
Carvalho, Luciane, Bomfim, Barbara, Chambers, Jeffrey, Higuchi, Niro, Lima, Adriano, Souza, Cacilda Adélia, and Gimenez, Bruno. 2025. "Litter Production and Foliar Nutrient Resorption in Pioneer and Non-Pioneer Species in a Selective Logging Experiment in the Central Amazon, BIONTE, ZF-2, Manaus, 2022-23". United States. doi:https://doi.org/10.15485/2507467. https://www.osti.gov/servlets/purl/2507467. Pub date:Wed Jan 01 04:00:00 UTC 2025
@article{osti_2507467,
title = {Litter Production and Foliar Nutrient Resorption in Pioneer and Non-Pioneer Species in a Selective Logging Experiment in the Central Amazon, BIONTE, ZF-2, Manaus, 2022-23},
author = {Carvalho, Luciane and Bomfim, Barbara and Chambers, Jeffrey and Higuchi, Niro and Lima, Adriano and Souza, Cacilda Adélia and Gimenez, Bruno},
abstractNote = {This dataset was collected near the city of Manaus, Brazil, at the Experimental Station of Tropical Forestry (EEST, aka “ZF2”), inside the BIONTE (BIOmass and NuTrient Experiment). The experiment included three levels of increasing selective logging intensity, along with control, with 1-hectare permanent plots (12 total) located at the center of 4-hectare treatment plots. The vegetation has a high floristic diversity, the soils of the region are poor in nutrients, and the topography is characterized by plateaus (where BIONTE is located), and also valley bottoms and slopes. Three treatments of differing logging intensities were applied in the BIONTE experiment (T1, T2 and T3). The study was conducted in Treatment 3 (Block I – permanent plot), which represents the most intensive logging treatment, with 69% of the basal area (m²∙ha⁻¹) removed in 1988. The present dataset spans the period from May 1, 2022, to May 1, 2023. The data package includes leaf_nutrient_data, litterfall_total_data, leaf_litterfall_species_specific_data, and species_info, all provided in .csv format. These formats allow users to process and analyze the data in various software applications and programming languages, such as Python and R. This dataset was collected to advance knowledge on nutrient cycling in Amazonian forests, specifically distinguishing between species with two distinct functional traits: fast-growing and slow-growing. It also aims to improve Earth System Models, such as the E3SM Functionally Assembled Terrestrial Ecosystem Simulator (FATES). Additionally, it was used in a paper currently in preparation (Carvalho et al., in prep.), which aims to quantify seasonal litter production and foliar nutrient resorption in pioneer (fast-growing) and non-pioneer (slow-growing) tree species in the central Amazon. Specifically, it seeks to answer two key questions: 1) Is there a difference in leaf litter production, leaf nutrient flux and leaf nutrient concentration between pioneers and non-pioneers species? Is there a difference in the efficiency of foliar nutrient resorption between pioneers and non-pioneers species?},
doi = {10.15485/2507467},
journal = {},
number = ,
volume = ,
place = {United States},
year = {Wed Jan 01 04:00:00 UTC 2025},
month = {Wed Jan 01 04:00:00 UTC 2025}
}