Maximizing Metapopulation Growth Rate and Biomass in Stream Networks-Reference-Cited by-同舟云学术

Maximizing Metapopulation Growth Rate and Biomass in Stream Networks

Published:2023-11-03 Issue:6 Volume:83 Page:2145-2168
ISSN:0036-1399
Container-title:SIAM Journal on Applied Mathematics
language:en
Short-container-title:SIAM J. Appl. Math.

Author:

Nguyen Tung D.¹,Wu Yixiang²,Veprauskas Amy³,Tang Tingting⁴,Zhou Ying⁵,Beckford Charlotte⁶,Chau Brian⁷,Chen Xiaoyun⁸,Rouhani Behzad Djafari⁹^ORCID,Wu Yuerong¹⁰,Yang Yang¹¹^ORCID,Shuai Zhisheng¹²^ORCID

Affiliation:

1. Department of Mathematics, Texas A&M University, College Station, TX 77843 USA.

2. Department of Mathematical Sciences, Middle Tennessee State University, Murfreesboro, TN 37132 USA.

3. Department of Mathematics, University of Louisiana at Lafayette, Lafayette, LA 70501 USA.

4. Department of Mathematics and Statistics, San Diego State University, San Diego, CA 92182 USA.

5. Department of Mathematics, Lafayette College, Easton, PA 18042 USA.

6. Department of Mathematics, University of Tennessee, Knoxville, TN 37916 USA.

7. Department of Mathematical and Statistical Sciences, University of Alberta, Edmonton, AB T6G 2G1, Canada.

8. Department of Mathematics and Statistics, University of North Carolina at Charlotte, Charlotte, NC 28223 USA.

9. Department of Mathematical Sciences, University of Texas at El Paso, El Paso, TX 79968 USA.

10. Department of Mathematics and Statistics, Georgia State University, Atlanta, GA 30303 USA.

11. Department of Mathematics, The Ohio State University, Columbus, OH 43210 USA.

12. Department of Mathematics, University of Central Florida, Orlando, FL 32816 USA.

Funder

National Science Foundation

Publisher

Society for Industrial & Applied Mathematics (SIAM)

Subject

Applied Mathematics

Reference49 articles.

1. Resolvent positive linear operators exhibit the reduction phenomenon

2. Number of Source Patches Required for Population Persistence in a Source–Sink Metapopulation with Explicit Movement

3. An optimization problem and its application in population dynamics

4. Diffusive logistic equations with indefinite weights: population models in disrupted environments

5. Diffusive Logistic Equations with Indefinite Weights: Population Models in Disrupted Environments II

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