ArticleProceedings of the National Academy of Sciences of the United States of America2017
Scale-dependent portfolio effects explain growth inflation and volatility reduction in landscape demography.
Article in Proceedings of the National Academy of Sciences of the United States of America, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed.
- The spread of non-native species.Biological reviews of the Cambridge Philosophical Society · 2026Review
- Genomics-Enabled Mixed-Stock Analysis Uncovers Intraspecific Migratory Complexity and Detects Unsampled Populations in a Harvested Fish.Molecular ecology · 2025Article
- Barriers decouple population dynamics of riverine fish, and asynchrony of subpopulations promotes stability within fragments.Proceedings. Biological sciences · 2025Article
- Difficulties in summing log-normal distributions for abundance and potential solutions.PloS one · 2023Review
- Size, connectivity and edge effects of stream habitats explain spatio-temporal variation in brown trout (Proceedings. Biological sciences · 2021Article
- Mechanistic reconciliation of community and invasion ecology.Ecosphere (Washington, D.C) · 2021Article
- Comparisons of historical Dutch commons inform about the long-term dynamics of social-ecological systems.PloS one · 2021Article
- Eco-evolutionary perspectives on emergence, dispersion and dissolution of historical Dutch commons.PloS one · 2020Article
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Authors and funding
3 authors.
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Abstract
Population demography is central to fundamental ecology and for predicting range shifts, decline of threatened species, and spread of invasive organisms. There is a mismatch between most demographic work, carried out on few populations and at local scales, and the need to predict dynamics at landscape and regional scales. Inspired by concepts from landscape ecology and Markowitz's portfolio theory, we develop a landscape portfolio platform to quantify and predict the behavior of multiple populations, scaling up the expectation and variance of the dynamics of an ensemble of populations. We illustrate this framework using a 35-y time series on gypsy moth populations. We demonstrate the demography accumulation curve in which the collective growth of the ensemble depends on the number of local populations included, highlighting a minimum but adequate number of populations for both regional-scale persistence and cross-scale inference. The attainable set of landscape portfolios further suggests tools for regional population management for both threatened and invasive species.
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