Fine-scale processes shape ecosystem service provision by an Amazonian hyperdominant tree species

Area of Science:

• Ecology
• Forest Science
• Conservation Biology

Background:

• Conspecific distance and density-dependence significantly influence tree diversity in natural forests.
• The impact of these ecological processes on ecosystem service provision remains largely unexplored.
• Brazil nut (Bertholletia excelsa) is a keystone species in Amazonia, vital for carbon sequestration and non-timber forest product (NTFP) harvesting.

Purpose of the Study:

• To investigate the effects of conspecific proximity on biomass accumulation and seed production of Brazil nut trees in the Peruvian Amazon.
• To determine how distance and density-dependent factors influence key ecosystem services provided by Brazil nut trees.
• To evaluate the adequacy of current field plot sizes for measuring species-centric ecosystem services.

Main Methods:

• Analysis of a dataset comprising over 135,000 trees from the Peruvian Amazon.
• Assessment of Brazil nut tree seed production and above-ground biomass in relation to nearest neighbor distances.
• Statistical modeling to identify density-dependent effects on ecological and ecosystem service metrics.

Main Results:

• Negative effects of close conspecific proximity on seed production were observed, attributed to genetic structuring and resource competition.
• Positive effects of larger conspecific distances on above-ground biomass were identified, potentially linked to reduced pollen limitation and improved growth conditions.
• Findings indicate that typical field plot sizes in Amazonia may be insufficient to capture these distance- and density-dependent effects.

Conclusions:

• Conspecific density and distance exert complex influences on Brazil nut tree reproductive success and biomass.
• Accurate measurement of species-centric ecosystem services, such as carbon storage, requires consideration of these fine-scale ecological processes.
• Future ecological research and forest management strategies in the Amazon should incorporate distance- and density-dependent dynamics for more precise ecosystem service estimations.