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The ongoing biodiversity and climate change crises require society to adopt nature‐based solutions that integrate and enhance ecosystems. To achieve successful implementation of nature‐based solutions, it is vital to communicate scientific information about their benefits and suitability.This article explores the potential of generative artificial intelligence (GenAI) as a tool for automating and scaling up science communication, outreach, and extension for nature‐based solutions.To illustrate the potential of GenAI, we present three case study examples; (1) reporting scientific information on ecosystem services, future land use options, and nature‐based solutions for farms (2) interactively providing guidance in response to homeowner questions about biodiversity‐friendly garden design and (3) visualising potential future scenarios of landscape change that incorporate diverse nature based and technological solutions. These examples demonstrate potential applications which may be relevant to other systems and types of nature‐based solutions.While GenAI for nature‐based solutions offers significant opportunities, this new technology brings risks of bias, false information, data privacy, mistrust, and high energy usage. Alongside technological development, we require integrated social research into ethics, public acceptability, and user experience, to maximise the benefits of GenAI while limiting these risks.GenAI offers an opportunity to accelerate the dissemination of nature‐based design strategies and reach a broader audience, by synthesising information and producing tailored content for specific users and locations. By harnessing the power of GenAI alongside human expertise, we can support nature‐based solutions to tackle the complex challenges of future sustainability. Read the free Plain Language Summary for this article on the Journal blog. Read the free Plain Language Summary for this article on the Journal blog. [ABSTRACT FROM AUTHOR]

A new biphenyl compound: 5-aldehyde-4′-hydroxy-2,2′-dimethoxybiphenyl (1), along with 11 known phenolic compounds (2–12) were isolated from the stem of Ficus pumila Linn. Their structures were established by spectroscopic methods, including MS, UV, IR, 1 D and 2 D NMR. Compounds 4 and 10 showed weakly cytotoxicity against MCF-7, with IC50 values of 32.5 and 37.3 µM, respectively. [ABSTRACT FROM AUTHOR]

One new piperazinedione derivative, nigerpiperazine A (1), along with six known compounds (2–7) were isolated from the fungus Aspergillus niger JX-5 from mangrove Ceriops tagal. Nigerpiperazine A (1) was elucidated by spectroscopic analyses and 13C NMR chemical shift calculations, compounds 4 and 5 were determined by X-ray and the CD spectra. The absolute configuration of 4 was identified by X-ray for the first time. Compounds 1 and 4 showed inhibitory activities against Helicoverpa armigera Hubner with the IC50 values of 200 and 100 µg/mL, respectively. [ABSTRACT FROM AUTHOR]

A new isoflavone (Z)-5,7,4′-trihydroxy-3′-[3-hydroxy-3-methyl-1-butenyl] isoflavone (1) together with seven known isoflavones (2–8) were isolated from the fruits of the Ficus auriculata. Their structures were established on the basis of 1 D, 2 D-NMR spectroscopic data and HR-ESI-MS analysis. All compounds were evaluated for their antibacterial activities against five pathogenic bacteria in vitro. Compounds 3 and 4 exhibited significant antibacterial activities against five pathogenic bacteria with the MIC values ranging from 1.25 to 20 μg/mL. [ABSTRACT FROM AUTHOR]

Two new cephalochromin derivatives, prenylcephalochromin A (1), prenylcephalochromin B (2), along with cephalochromin (3) were isolated from the Alternaria sp. ZG22 obtained from a Dasymaschalon rostratum collected from the Hainan. The structures of two new compounds were elucidated by comprehensive spectroscopic methods. Compounds 1-3 showed α-glucosidase inhibitory activity. [ABSTRACT FROM AUTHOR]