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Reconstructing the processes that have shaped the emergence of biodiversity gradients is critical to understand the dynamics of diversification of life on Earth. Islands have traditionally been used as model systems to unravel the processes shaping biological diversity. MacArthur and Wilson's island biogeographic model predicts diversity to be based on dynamic interactions between colonization and extinction rates, while treating islands themselves as geologically static entities. The current spatial configuration of islands should influence meta-population dynamics, but long-term geological changes within archipelagos are also expected to have shaped island biodiversity, in part by driving diversification. Here, we compare two mechanistic models providing inferences on species richness at a biogeographic scale: a mechanistic spatial-temporal model of species diversification and a spatial meta-population model. While the meta-population model operates over a static landscape, the diversification model is driven by changes in the size and spatial configuration of islands through time. We compare the inferences of both models to floristic diversity patterns among land patches of the Indo-Australian Archipelago. Simulation results from the diversification model better matched observed diversity than a meta-population model constrained only by the contemporary landscape. The diversification model suggests that the dynamic re-positioning of islands promoting land disconnection and reconnection induced an accumulation of particularly high species diversity on Borneo, which is central within the island network. By contrast, the meta-population model predicts a higher diversity on the mainlands, which is less compatible with empirical data. Our analyses highlight that, by comparing models with contrasting assumptions, we can pinpoint the processes that are most compatible with extant biodiversity patterns.
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http://dx.doi.org/10.1098/rsos.171366 | DOI Listing |
Math Biosci Eng
July 2025
Department of Mathematics and Applied Mathematics, NorthWest University, Mahikeng, South Africa.
We consider a two-Patch malaria model, where the individuals can freely move between the patches. We assume that one site has better resources to fight the disease, such as screening facilities and the availability of transmission-blocking drugs (TBDs) that offer full, though waning, immunity and non-infectivity. Moreover, individuals moving to this site are screened at the entry points, and the authorities can either refuse entry to infected individuals or allow them in but immediately administer a TBD.
View Article and Find Full Text PDFBull Math Biol
July 2025
Área de Matemáticas Aplicadas, Centro de Investigación en Matemáticas, A.C., Calle Jalisco s/n, Col. Valenciana, Guanajuato, 36023, México.
Designing effective control strategies for managing epidemics in metapopulations, where human mobility plays a critical role, is essential for public health policies. In this paper, we propose a novel methodology for efficiently distributing control resources by considering both the epidemiological response of each region and the cost of implementing a control strategy to reduce contact rates within a given patch. Specifically, using the SEIR (Susceptible-Exposed-Infectious-Recovered) model to describe the epidemic process in each patch of the metapopulation, we derive a mathematical expression for the epidemic's final size in each patch, which measures the total number of individuals that become infected by the end of the epidemic.
View Article and Find Full Text PDFMar Pollut Bull
July 2025
Institute of Marine Biology, National Taiwan Ocean University, Keelung 202301, Taiwan; Center of Excellence for the Oceans, National Taiwan Ocean University, Keelung 202301, Taiwan. Electronic address:
The grapsoid crab Xenograpsus testudinatus, Ng et al. (2000) inhabits unique ecosystems of active shallow-water hydrothermal vents of the western Pacific volcanic rises as the dominant vent metazoan. This species provides a valuable model to explore population expansion, evolutionary ecology, metabolic regulation, genetic adaptation, and meta-population dynamics.
View Article and Find Full Text PDFPLoS One
July 2025
Department of Infectious Disease Epidemiology and Dynamics, London School of Hygiene & Tropical Medicine, London, United Kingdom.
Detecting the circulation of poliovirus in its early stages is paramount for swift public health action. While environmental surveillance (ES) is promising for enhancing early pathogen detection, the influence of spatial arrangement of ES sites on early detection remains unclear. Here, we aim to assess the early detection ability of ES by varying the number and location of ES sites using the simulation-based approach utilising geographic and demographic characteristics of South Africa as a case study of a non-endemic country.
View Article and Find Full Text PDFPLoS One
June 2025
Department of Biological and Environmental Sciences, University of Gothenburg, Gothenburg, Sweden.
We present evidence that the abundance of harbour seals in the Kattegat-Skagerrak is in decline. Until recently, the Kattegat-Skagerrak harbour seal population has grown exponentially as it has recovered from historic over-hunting and two mass mortality events. This has provided an important case study for the influence of environmental factors on population growth.
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