Optimal Harvesting in Stream Networks: Maximizing Biomass and Yield

In this study, we develop a metapopulation model framework to identify optimal harvesting strategies for a population in a stream network. We consider two distinct optimization objectives: maximization of total biomass and maximization of total yield, under the constraint of a fixed total harvesting effort. We examine in detail the special case of a two-patch network and fully characterize the optimal strategies for each objective. We show that when the population growth rate exceeds a critical threshold, a single harvesting strategy can simultaneously maximize both objectives. For general n-patch networks with homogeneous growth rates across patches, we focus on the regime of large growth rates and demonstrate that the optimal harvesting strategy selects patches according to their intraspecific competition rates and an effective net flow metric determined by network connectivity parameters.

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Publication Details

Journal
Bulletin of Mathematical Biology
Published
2026-05-19
DOI
https://doi.org/10.1007/s11538-026-01658-8
Primary Topic
Slime Mold and Myxomycetes Research
Type
article
Field-Weighted Citation Impact
0.00

Funders

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article

Optimal Harvesting in Stream Networks: Maximizing Biomass and Yield

Bulletin of Mathematical Biology
Slime Mold and Myxomycetes Research
article

Optimal Harvesting in Stream Networks: Maximizing Biomass and Yield

article en

Abstract

In this study, we develop a metapopulation model framework to identify optimal harvesting strategies for a population in a stream network. We consider two distinct optimization objectives: maximization of total biomass and maximization of total yield, under the constraint of a fixed total harvesting effort. We examine in detail the special case of a two-patch network and fully characterize the optimal strategies for each objective. We show that when the population growth rate exceeds a critical threshold, a single harvesting strategy can simultaneously maximize both objectives. For general n-patch networks with homogeneous growth rates across patches, we focus on the regime of large growth rates and demonstrate that the optimal harvesting strategy selects patches according to their intraspecific competition rates and an effective net flow metric determined by network connectivity parameters.

Bulletin of Mathematical BiologyVol. 88(6)
University of Central Florida (US), University of California, Los Angeles (US), Middle Tennessee State University (US), Lafayette College (US), San Diego State University (US), University of Louisiana at Lafayette (US)
National Science Foundation, Simons Foundation, American Institute of Mathematics
Openalex Percentile: Top 8%
Slime Mold and Myxomycetes Research
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