From Historical Archives to Algorithms: Reconstructing Biodiversity Patterns in 19th Century Bavaria DOI Creative Commons
Malte Rehbein

Diversity, Год журнала: 2025, Номер 17(5), С. 315 - 315

Опубликована: Апрель 26, 2025

Historical archives hold untapped potential for understanding long-term biodiversity change. This study introduces computational approaches to historical ecology, combining archival research, text analysis, and spatial mapping reconstruct past patterns. Using the 1845 Bavarian Animal Observation Dataset (AOD1845), a comprehensive survey of vertebrate species across 119 districts, we transform 5400 prose records into structured ecological data. Our analyses reveal how distributions, habitat associations, human–wildlife interactions were shaped by land use environmental pressures in pre-industrial Bavaria. Beyond documenting baselines, captures early perceptions loss decline. We emphasise critical role expertise interpreting sources avoiding anachronisms when integrating data with modern frameworks. By bridging humanities sciences, this work shows digitised methods can open new frontiers conservation science, restoration Anthropocene studies. The findings advocate systematic mobilisation datasets better understand change over time.

Язык: Английский

Spatial Landscape Structure Influences Cross-Species Transmission in a Rabies-like Virus Model DOI Creative Commons

Norma Rocio Forero-Muñoz,

Gabriel Dansereau,

François Viard

и другие.

Microorganisms, Год журнала: 2025, Номер 13(2), С. 416 - 416

Опубликована: Фев. 14, 2025

In this study, we simulated biologically realistic agent-based models over neutral landscapes to examine how spatial structure affects the spread of a rabies-like virus in two-species system. We built with varying autocorrelation levels and disease dynamics using different transmission rates for intra- interspecies spread. The results were analysed based on combinations landscape structures rates, focusing median number new reservoir spillover cases. found that both viral are key factors determining infected agents epidemiological week when highest cases occurs. While isolated habitat patches elevated carrying capacity pose significant risks transmission, they may also slow compared more connected patches, depending modelled scenario. This study highlights importance cross-species Our findings have implications control strategies suggest future research should focus interact pathogen dynamics, especially those locations where susceptible could be contact pathogens high rates.

Язык: Английский

Процитировано

0

Research on Rural Ecological Landscape Optimization and Traditional Style Preservation Design Based on Spatial Gene Inheritance Technology DOI Open Access
Changhao Li, Huai‐Dong Song, Siyu Gu

и другие.

Applied Mathematics and Nonlinear Sciences, Год журнала: 2025, Номер 10(1)

Опубликована: Янв. 1, 2025

Abstract In this paper, after clarifying the key concepts of spatial form genes and GIS, overall rural settlements is analyzed by using gene inheritance technology. The most important are identified, these inherited in design to preserve traditional characteristics cultural charm countryside. effectiveness application technique evaluated various methods such as field surveys, qualitative research, inductive deduction, combining with specific cases. After optimization ecological landscape, landscape service value L countryside increased significantly, including food production 32.90% compared that before optimization. sensitivity optimized was also calculated be reduced 0.074~0.86. addition, terms genetic inheritance, score elements highest results questionnaire survey showed residents were highly satisfied effect paper’s method on preservation features

Язык: Английский

Процитировано

0

From Historical Archives to Algorithms: Reconstructing Biodiversity Patterns in 19th Century Bavaria DOI Creative Commons
Malte Rehbein

Diversity, Год журнала: 2025, Номер 17(5), С. 315 - 315

Опубликована: Апрель 26, 2025

Historical archives hold untapped potential for understanding long-term biodiversity change. This study introduces computational approaches to historical ecology, combining archival research, text analysis, and spatial mapping reconstruct past patterns. Using the 1845 Bavarian Animal Observation Dataset (AOD1845), a comprehensive survey of vertebrate species across 119 districts, we transform 5400 prose records into structured ecological data. Our analyses reveal how distributions, habitat associations, human–wildlife interactions were shaped by land use environmental pressures in pre-industrial Bavaria. Beyond documenting baselines, captures early perceptions loss decline. We emphasise critical role expertise interpreting sources avoiding anachronisms when integrating data with modern frameworks. By bridging humanities sciences, this work shows digitised methods can open new frontiers conservation science, restoration Anthropocene studies. The findings advocate systematic mobilisation datasets better understand change over time.

Язык: Английский

Процитировано

0