We study the dynamics of a ring of patches with vegetation-prey-predator populations, coupled through interactions of the Lotka-Volterra type. We find that the system yields aperiodic, recurrent and rare explosive bursts of predator density in a few isolated spatial patches from time to time. Further, the global predator biomass also exhibits sudden uncorrelated occurrences of large deviations from the mean as the coupled system evolves. The maximum value of the predator population in a patch, as well as the maximum value of the predator biomass, increases with coupling strength. These trends are further corroborated by fits to Generalized Extreme Value distributions, where the location and scale factor of the distribution increases markedly with coupling strength, indicating the crucial role of coupling interactions in the generation of extreme events. These results indicate how occurrences of extremely large predator populations can emerge in coupled population dynamics, and in a more general context they suggest a generic class of deterministic nonlinear systems that can naturally exhibit extreme events.
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http://dx.doi.org/10.1038/s41598-020-67517-1 | DOI Listing |
Ann N Y Acad Sci
January 2025
Institute for Earth System Science and Remote Sensing, Leipzig University, Leipzig, Germany.
Vegetation is often viewed as a consequence of long-term climate conditions. However, vegetation itself plays a fundamental role in shaping Earth's climate by regulating the energy, water, and biogeochemical cycles across terrestrial landscapes. It exerts influence by consuming water resources through transpiration and interception, lowering atmospheric CO concentration, altering surface roughness, and controlling net radiation and its partitioning into sensible and latent heat fluxes.
View Article and Find Full Text PDFMetabolites
January 2025
Inner Mongolia Academy of Agricultural & Animal Husbandry Sciences, Hohhot 010031, China.
Background: The frequent occurrence of extreme temperature events causes significant economic losses to the livestock industry. Therefore, delving into the differences in the physiological and molecular mechanisms of heat stress across different sheep breeds is crucial for developing effective management and breeding strategies.
Methods: This study explores the differences in heat tolerance mechanisms between Hu sheep and Xinggao sheep by comparing their growth performance under normal and heat stress conditions, as well as examining the differences in physiological, biochemical, and antioxidant indicators related to heat tolerance, serum metabolomics, and gut microbiomics in a heat stress environment.
Entropy (Basel)
December 2024
Department of Mathematics, University of Wisconsin-Madison, Madison, WI 53706, USA.
The conditional Gaussian nonlinear system (CGNS) is a broad class of nonlinear stochastic dynamical systems. Given the trajectories for a subset of state variables, the remaining follow a Gaussian distribution. Despite the conditionally linear structure, the CGNS exhibits strong nonlinearity, thus capturing many non-Gaussian characteristics observed in nature through its joint and marginal distributions.
View Article and Find Full Text PDFArch Peru Cardiol Cir Cardiovasc
December 2024
Instituto Nacional Cardiovascular-INCOR, EsSalud, Lima, Perú. Instituto Nacional Cardiovascular-INCOR EsSalud Lima Perú.
Objective: To determine the age-standardized rate of acute myocardial infarction (AMI) events and its trend in recent years.
Materials And Methods: An ecological study of secondary data on morbidity in emergency areas of Peruvian hospitals between 2018 and 2023 was conducted. Cases of AMI in adults aged 20 years or older were identified using ICD-10 codes.
Syst Rev
January 2025
Weill Cornell Medicine, Department of Medicine, 525 E 68th St, New York, NY, 10065, USA.
Background: Extreme heat events (EHEs), driven by anthropogenic climate change, exacerbate the risk of cardiovascular disease (CVD), although the underlying mechanisms are unclear. A possible mechanism leading to heat-related CVD is disturbances in sleep health, which can increase the risk of hypertension, and is associated with ideal cardiovascular health. Thus, our objective was to systematically review the peer-reviewed literature that describes the relationship between EHEs, sleep health, and cardiovascular measures and outcomes and narratively describe methodologies, evidence, and gaps in this area in order to develop a future research agenda linking sleep health, EHEs, and CVD.
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