Invasive plants can permanently alter ecosystems to promote conditions that support their own persistence. For example, certain invasive grasses can make areas prone to more frequent and larger wildfires, which negatively impact native species but favour fire-resistant invaders. This self-perpetuating process, termed a grass-fire cycle, can be impossible to reverse. Dr Jeanne Chambers of the United States Department of Agriculture’s Rocky Mountain Research Station and her colleagues – Matt Brooks, Matt Germino, Jeremy Maestas, David Board, Matt Jones, and Brady Allred – recently examined how an ecosystem’s resilience to fire and resistance to invasive grasses influence whether a grass-fire cycle will establish. In their paper, the scientists introduced a geospatial tool and decision matrix that incorporate measures of ecological resilience and resistance to invasive grasses for designing management strategies to combat grass-fire cycles.

Permafrost is key to maintaining the stability of steep mountain slopes. Yet as the climate warms, this frozen ground is becoming increasingly prone to thawing. In some cases, these events can trigger cascades of loose rock, with potentially devastating consequences for surrounding communities. Using a combination of computer modelling, and daring field experiments, Dr Florence Magnin at the Laboratory of Environments, Dynamics and Mountain Territories (EDYTEM) aims to better predict when and where these rockfalls are likely to occur, and how the state of mountain permafrost will evolve in the future.

The marine environment houses complex types of ecosystems that provide vital services and habitat to aquatic life. Areas of the seafloor where rocky outcrops are present, such as reefs and gravel beds, are some of the rarest marine habitats. Also known as ‘hard substrate habitats’ these ecosystems are under increasing pressure from fishing, eutrophication, climate change, and coastal management. Though hard substrates are protected in the European Union, we are unable to manage them effectively because maps describing their location and dimensions are inaccurate. In a review paper, Dr Svenja Papenmeier [Sven-yah Pah-pan-my-er] of Germany’s Leibniz Institute for Baltic Sea Research Warnemünde summarises existing rules for mapping substrate habitats, and describes new and potentially ground-breaking mapping techniques.

As the impacts of climate change become increasingly obvious worldwide, focused efforts to mitigate its worst effects are becoming more urgent. Through his research, Dr Xander Wang at the University of Prince Edward Island aims to innovate the computer models used to predict these future changes on smaller, regional scales. His team’s work is making important strides towards an advanced predictive toolset, which policymakers could use to make the best possible decisions about how to protect local populations from future climate-related disasters.

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