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Scientists must have an integrative understanding of ecology and evolution across spatial and temporal scales to predict how species will respond to global change. Although comprehensively investigating these processes in nature is challenging, the infrastructure and data from long-term ecological research networks can support cross-disciplinary investigations. We propose using these networks to advance our understanding of fundamental evolutionary processes and responses to global change. For ecologists, we outline how long-term ecological experiments can be expanded for evolutionary inquiry, and for evolutionary biologists, we illustrate how observed long-term ecological patterns may motivate new evolutionary questions. We advocate for collaborative, multi-site investigations and discuss barriers to conducting evolutionary work at network sites. Ultimately, these networks offer valuable information and opportunities to improve predictions of species' responses to global change.
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http://dx.doi.org/10.1038/s41559-024-02464-y | DOI Listing |
Ecology
September 2025
Grupo I+D+i EvoAdapta (Evolución Humana y Adaptaciones durante la Prehistoria), Departamento de Ciencias Históricas, University of Cantabria, Santander, Spain.
Ambio
September 2025
Department of Sustainable Development, Environmental Science and Engineering (SEED), KTH Royal Institute of Technology, Stockholm, Sweden.
This study investigates how the seven core resilience principles are integrated into assessments of forest system resilience to natural or human-induced disturbances across engineering, ecological, and social-ecological resilience concepts. Following PRISMA guidelines, a literature search in the Web of Science database using the keywords "resilience", "forest" and "ecosystem services" yielded 1828 studies, of which 330 met the selection criteria. The most commonly used criterion was diversity, a sub-criterion of "diversity and redundancy", appearing in 50% of studies.
View Article and Find Full Text PDFJ Math Biol
September 2025
Department of Mathematics, Texas A&M University, Mailstop 3368, College Station, TX, 77843-3368, United States.
We study how environmental stochasticity influences the long-term population size in certain one- and two-species models. The difficulty is that even when one can prove that there is coexistence, it is usually impossible to say anything about the invariant probability measure which describes the coexisting species. We are able to circumvent this problem for some important ecological models by noticing that the per-capita growth rates at stationarity are zero, something which can sometimes yield information about the invariant probability measure.
View Article and Find Full Text PDFNat Commun
September 2025
State Key Laboratory of Loess Science, Institute of Earth Environment, Chinese Academy of Sciences, Xi'an, China.
How terrestrial mean annual temperature (MAT) evolved throughout the past 2 million years (Myr) remains elusive, limiting our understanding of the patterns, mechanisms, and impacts of past temperature changes. Here we report a ~2-Myr terrestrial MAT record based on fossil microbial lipids preserved in the Heqing paleolake, East Asia. The increased amplitude and periodicity shift of glacial-interglacial changes in our record align with those in sea surface temperature (SST) records.
View Article and Find Full Text PDFInsect Biochem Mol Biol
September 2025
Jiangxi Provincial Key Laboratory of Pest and Disease Control of Featured Horticultural Plants, College of Life Sciences, Gannan Normal University, Ganzhou 341000, China. Electronic address:
The diamondback moth (Plutella xylostella), a globally destructive pest, has Brassicaceae as its long-term co-evolved host and can also utilize Fabaceae as an alternative field host. The primary differential factor between these plant families is glucosinolates (GLs). Conventional transcriptome data revealed high midgut expression of glucosinolate sulfatases (GSSs) in response to glucosinolates.
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