Maximizing Metapopulation Growth Rate and Biomass in Stream Networks

Tung D. Nguyen; Yixiang Wu; Amy Veprauskas; Tingting Tang; Ying Zhou; Charlotte Beckford; Brian Chau; Xiaoyun Chen; Behzad Djafari Rouhani; Yuerong Wu; Yang Yang; Zhisheng Shuai

arXiv · 2209.11884

Maximizing Metapopulation Growth Rate and Biomass in Stream Networks

Tung D. Nguyen·Yixiang Wu·Amy Veprauskas·Tingting Tang·Ying Zhou·Charlotte Beckford·Brian Chau·Xiaoyun Chen·Behzad Djafari Rouhani·Yuerong Wu·Yang Yang·Zhisheng Shuai

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Abstract

We consider the logistic metapopulation model over a stream network and use the metapopulation growth rate and the total biomass (of the positive equilibrium) as metrics for different aspects of population persistence. Our objective is to find distributions of resources that maximize these persistence measures. We begin our study by considering stream networks consisting of three nodes and prove that the strategy to maximize the total biomass is to concentrate all the resources in the most upstream locations. In contrast, when the diffusion rates are sufficiently small, the metapopulation growth rate is maximized when all resources are concentrated in one of the most downstream locations. These two main results are generalized to stream networks with any number of patches.

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Tung D. Nguyen, Yixiang Wu, Amy Veprauskas, Tingting Tang, Ying Zhou, Charlotte Beckford, Brian Chau, Xiaoyun Chen, Behzad Djafari Rouhani, Yuerong Wu, Yang Yang, Zhisheng Shuai. 2022-09-23. Maximizing Metapopulation Growth Rate and Biomass in Stream Networks. https://arxiv.org/abs/2209.11884

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