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Improving PPP ambiguity resolution with a modified particle swarm optimization method

Publication date: 1 December 2025

Source: Advances in Space Research, Volume 76, Issue 11

Author(s): Zhiqiang Li, Tao Geng, Zhuang Ma, Xin Xie, Lingyue Cheng, Hang Yu, Jie Yang

Comparative analysis of TEC anomalies preceding the 2022 Cyprus and Alaska earthquakes

Publication date: 1 December 2025

Source: Advances in Space Research, Volume 76, Issue 11

Author(s): Emre Eroglu, Huseyin Bilgin, Kemal Edip, Altin Bidaj, Marsed Leti, Mario Hysenlliu

Investigating lifetime characteristics of low-latitude ionospheric F-region irregularities using single-station GNSS data

Publication date: 1 December 2025

Source: Advances in Space Research, Volume 76, Issue 11

Author(s): YunZe Lu, Tao Yu, Yu Liang, Shuo Liu, ZuKang Dai, YiFan Qi, Yan Yu

Large-scale ionospheric hole, unusual ionospheric gradients and irregularities observed over South America during the May 2024 geomagnetic superstorm

Publication date: 15 December 2025

Source: Advances in Space Research, Volume 76, Issue 12

Author(s): Irina Zakharenkova, Iurii Cherniak, Andrzej Krankowski

Integrated Air-Space-Ground-Subsurface Framework for Comprehensive Analysis of Mountainous Landslide Behavior in Zanbatang

Publication date: Available online 11 December 2025

Source: Advances in Space Research

Author(s): Tao Wang, Huai Su, Ming Dong, Ju Zeng, Quan Wang

Coordinate Differences Between Static and Kinematic Precise Point Positioning: A Different Approach in Spectral Analysis During the 2023 Kahramanmaraş Earthquake

Publication date: Available online 11 December 2025

Source: Advances in Space Research

Author(s): Secil Karatay, Faruk Erken, Atinc Pirti, Feza Arikan

Sensitivity of GGP superconducting gravimeters in detecting pre-seismic gravity anomalies

Publication date: Available online 11 December 2025

Source: Advances in Space Research

Author(s): Jie Dong, Baogui Ke, Lingbo Yin

Multi-Sensor Forest Aboveground Biomass Estimation Using GEDI, Machine Learning, and Deep Learning Techniques

Publication date: Available online 11 December 2025

Source: Advances in Space Research

Author(s): Prajwol B. Subedi, Hamdi.A. Zurqani

Improved Classification of Star and Galaxy from Telescope by Using a Spatio-Spectral Feature ResNet Model

Publication date: Available online 11 December 2025

Source: Advances in Space Research

Author(s): Sevilay TUFENKCI, Baris Baykant ALAGOZ

Rigid-flexible-thermal coupling dynamic modeling and attitude control of large spaceborne deployable parabolic truss antenna

Publication date: Available online 11 December 2025

Source: Advances in Space Research

Author(s): Shijie Zhou, Zhen Yang, Kaicheng Zhang, Xiang Liu, Guoping Cai

Autonomous Path Planning for Stratospheric Airships via Deep Reinforcement Learning with Wind Field Fusion

Publication date: Available online 11 December 2025

Source: Advances in Space Research

Author(s): Shaofeng Bu, Wenming Xie, Xuchen Shen, Xiaodong Peng, Cheng Liu, Jingyi Ren

Wildfires reshape forest soils for decades, with recovery varying by climate

Phys.org: Earth science - Fri, 12/19/2025 - 19:00
Wildfires may disappear from the landscape within weeks, but their hidden effects on the soil can persist for decades. An international research team led by the University of Göttingen, together with partners in Tübingen, Berlin and Chile, has shown how wildfires in humid temperate rainforests and Mediterranean woodlands of central Chile lead to very different pathways of soil recovery and ecosystem resilience. The study shows that soil structure and nutrients continue to change for more than a decade after a fire. The results are published in the journal Catena.

Eifel volcanoes mapped in detail: Surprising new insights from Germany's largest seismological experiment

Phys.org: Earth science - Fri, 12/19/2025 - 18:21
Several hundred volcanoes lie dormant beneath the Eifel in western Germany. They are typical examples of what is known as distributed volcanic fields. To better understand their formation and activity, researchers from the GFZ Helmholtz Center for Geosciences and partner institutions conducted Germany's largest seismological volcano experiment in this region between September 2022 and August 2023.

Westerly jet stream emerges as key driver of mid-latitude hydroclimatic extremes

Phys.org: Earth science - Fri, 12/19/2025 - 16:53
In recent years, the global climate has become increasingly extreme, with intensifying alternations of droughts and floods—particularly in ecologically vulnerable mid-latitude regions. But what is driving this hydroclimatic variability? Scientists have long debated the underlying mechanisms.

Climate Change Could Drive Butterflies and Plants Apart

EOS - Fri, 12/19/2025 - 14:32

Butterflies are often considered bellwether species for climate change, and to retain the cooler climates they need for their life cycles, species around the world have been shifting their habitats and migratory patterns to higher latitudes and higher elevations.

But are the plants that butterflies depend on shifting their habitats in step?

New research has found that out of 24 Southeast Asian butterflies examined, 17 of them (71%) could experience a net loss in the habitat area they share with their host plants under a high-emissions climate change scenario. Some butterfly species may lose nearly 40% of shared habitat as they retreat to cooler climes.

Losing Ground

Like most species on Earth, butterflies have a preferred temperature range. As climate change warms the planet, many butterfly species have shifted their habitats, typically moving to cooler, higher elevations or higher latitudes. But wherever they go, butterflies still need plants that provide food and host their larvae (caterpillars). Some butterflies depend on a single host species, while others can rely on several.

Plants, too, have environmental needs, but whether the insects and the plants they need are shifting their habitats at the same speeds and in the same direction has been unclear.

To compare shifting species ranges, researchers simulated how tropical Asian butterflies and their host plants would each experience habitat migration in response to a high-emissions climate change scenario (SSP585). They selected 24 butterfly species whose ranges span from dense lowland rainforests to mountainous highlands. Some species have large ranges, and others have small ranges. Some depend on a single host plant, and others can use several.

“We wanted to choose the most representative butterfly species in tropical Asia,” said Jin Chen, lead researcher on the project and a doctoral student at the University of Helsinki. “We only used climate data as the predictive factors. We wanted to see, in the worst situation, what happens to them.”

“I don’t think there’s any situation [in which] a butterfly will prefer to go a warmer place.”

They found that 17 of the 24 butterfly species would experience a net decoupling from their host plants, with shared habitat area decreasing between 6% and 39%. As expected, the decoupling in lowland areas was primarily driven by butterflies fleeing to cooler, higher-elevation areas.

“I don’t think there’s any situation [in which] a butterfly will prefer to go a warmer place,” Chen said.

But the model also predicted significant habitat decoupling in those cooler, higher-elevation regions, which was unexpected. The loss of shared highland habitat was primarily driven by the host plants not being able to thrive there, and as a result, the butterflies had no support system when they arrived. Butterfly species that are pickier about their plants experienced the biggest coupled habitat losses.

“The hot spots of this decoupling are mostly in the mountain regions of tropical Asia, including Borneo and the boundary of Laos, Vietnam, and Cambodia,” Chen said, as well as “the north of Myanmar close to the Himalayas.”

The model did predict that seven butterfly species would gain shared habitat with plants, with net gains of 1%–42%. Those gains were a result of several host plants expanding their ranges significantly in a warmer climate. The butterflies that relied on those plants had more options despite their own habitat shifts.

The team presented their results on 15 December at AGU’s Annual Meeting 2025 in New Orleans.

“There’s a lot of uncertainty in how butterflies are responding or will respond to climate change globally—and this is especially true in the tropics where data are generally sparse and species interactions complex,” said Timothy Bonebrake, a conservation scientist at the University of Hong Kong who was not involved with this research. “But yes, there is evidence that Asian species are shifting their distributions in response to warming and other environmental changes.”

“What role host plants play in such movements is less clear and needs further investigation,” he added. “So studies like this that model host and butterfly responses are a useful first step for understanding such impacts.”

Fluttering Away

“Modeling species interactions under global change can provide important perspectives for managers and conservation planners by emphasizing key linkages in the ecosystem,” Bonebrake said. “Indeed, for many butterfly species, host plant availability will be a key limiting factor that constrains distribution tracking. Research like this can help to identify which types of species might need attention or active intervention under rapid warming.”

Chen noted that because the team’s model used only climate change as a predictive factor, it might not have fully captured how plant ranges will change. Although temperature shifts, driven by climate change, are the most important factor for butterflies, plants also respond to land use changes, she said. Future modeling will include predicted land use change under different emissions scenarios and thus will provide more precise predictions about which butterfly species could thrive or falter.

“Hopefully, this ability will also give species an additional avenue for persisting in rapidly changing environments.”

Still, these initial models provide clues about which species are under more threat than others and can spark ideas about how humans can intervene to protect vulnerable pollinators. People living in cooler areas to which butterflies are fleeing can help support the insects by protecting their host plants from destructive land use and by planting more pollinator-friendly plants to support butterflies’ life cycles.

“We sometimes underestimate the ability of butterflies to switch host plants or otherwise alter their life histories to cope with climate change,” Bonebrake said. “When they do shift hosts, it introduces an additional element of complexity with respect to climate change projections. But hopefully, this ability will also give species an additional avenue for persisting in rapidly changing environments.”

—Kimberly M. S. Cartier (@astrokimcartier.bsky.social), Staff Writer

Correction 19 December 2025: The photo caption has been corrected to identify the butterfly as Idea leuconoe, not Idea stolli.

Citation: Cartier, K. M. S. (2025), Climate change could drive butterflies and plants apart, Eos, 106, https://doi.org/10.1029/2025EO250481. Published on 19 December 2025. Text © 2025. AGU. CC BY-NC-ND 3.0
Except where otherwise noted, images are subject to copyright. Any reuse without express permission from the copyright owner is prohibited.

An Ecosystem Never Forgets

EOS - Fri, 12/19/2025 - 14:31
Source: AGU Advances

The low-latitude highlands region of southwestern China experienced two major climate events in recent years: a severe drought in 2009–2010 and an extreme heat wave in 2019. Though both sprang from similar large-scale atmospheric circulation patterns, the events produced different responses, raising questions about how multiple stressors can push ecosystems toward contrasting outcomes.

Southwestern China’s highlands system offered scientists a chance to study the ways a sensitive ecosystem reacted to both a once-in-a-century drought and an exceptional heat wave. Pan et al. analyzed soil moisture, vegetation productivity, and temperature using remote sensing data and nonlinear structural equation modeling. They discovered a distinct “personality switch” in the way the ecosystem responded to the second event versus the first.

In 2010, when drought left the soil very dry, the ecosystem’s productivity was limited by the amount of available water. During that drought, plant growth slowed as vegetation operated in survival mode and restricted water to its roots. In 2019, when the soil was moistened by previous rains, water was not a limiting factor. Instead, the hot temperatures served as an energy source and caused plant growth to thrive.

Wetter antecedent conditions helped the ecosystem better weather the heat, the research showed. This concept of “hydrological memory” helps explain why the ecosystem reacted so differently to two extreme events. Such a nonlinear effect can be hard to capture in traditional modeling, so these findings have important implications for future modeling and climate change projections, the authors say. Untangling seemingly unpredictable ecosystem behaviors, they continue, could help improve understanding of our planet and its future. (AGU Advances, https://doi.org/10.1029/2025AV001973, 2025)

—Rebecca Owen (@beccapox.bsky.social), Science Writer

Citation: Owen, R. (2025), An ecosystem never forgets, Eos, 106, https://doi.org/10.1029/2025EO250472. Published on 19 December 2025. Text © 2025. AGU. CC BY-NC-ND 3.0
Except where otherwise noted, images are subject to copyright. Any reuse without express permission from the copyright owner is prohibited.

Warming May Make Tropical Cyclone “Seeds” Riskier for Africa

EOS - Fri, 12/19/2025 - 14:31
Source: Journal of Advances in Modeling Earth Systems (JAMES)

An existing body of research indicates that climate change is making tropical cyclones wetter and more powerful.

Now, new research is indicating the same thing may be happening to the precursors of these storms: the wet weather systems that sometimes give rise to destructive hurricanes and often cause hazardous rain and flooding.

Tropical cyclones don’t spring into existence fully formed. Around 85% of Atlantic hurricanes, for instance, originate from African easterly waves, westward-moving disturbances of low pressure over Africa in which warm, humid air rises into the atmosphere from below and forms rain clouds. Despite these weather systems’ critical role as “seeds” for tropical cyclones, however, it’s not fully understood how climate change may affect their development.

Núñez Ocasio et al. recently investigated how African easterly waves might behave differently in the future because of climate change. To do this, Núñez Ocasio first developed a new regional weather model configuration that allowed for more realistic representation of possible rainfall extremes. Using this improved model, the team focused on the formation period of the wave that would become 2006’s Hurricane Helene and simulated how the storm might have played out differently in a warmer, more humid environment.

Under a scenario of high greenhouse gas emissions, the researchers found that by the end of the century, waves like the one that became Helene will grow significantly more intense, spinning faster and holding a greater amount of water vapor relative to their surroundings. At the same time, the waves will travel more slowly across Africa. Altogether, this means they will linger for longer periods while dumping heavier rain over affected areas, exacerbating the risk of extreme flooding.

Given that risk, the authors call for the use of high-resolution models like those in the present study to further research how African easterly waves will respond to climate change. Such studies may provide vulnerable communities with the information they need to prepare for extreme weather.

The authors also note that although forecasts with short lead times—the time between a weather forecast and the actual weather event—tend to offer higher accuracy, longer lead times may better account for the slower movement of future African easterly waves. (Journal of Advances in Modeling Earth Systems (JAMES), https://doi.org/10.1029/2025MS005146, 2025)

—Sean Cummings, Science Writer

Citation: Cummings, S. (2025), Warming may make tropical cyclone “seeds” riskier for Africa, Eos, 106, https://doi.org/10.1029/2025EO250468. Published on 19 December 2025. Text © 2025. AGU. CC BY-NC-ND 3.0
Except where otherwise noted, images are subject to copyright. Any reuse without express permission from the copyright owner is prohibited.

Researchers find trees could spruce up future water conservation efforts

Phys.org: Earth science - Fri, 12/19/2025 - 10:38
Trees contain valuable information about Earth's past, so much so that studying their rings may help fill in hidden gaps in Ohio's environmental history.

Could strategic river sensors have forewarned of Texas Camp flood disaster?

Phys.org: Earth science - Fri, 12/19/2025 - 10:07
Camp Mystic in Texas flooded on July 4, killing 27 people, including 25 children. Over 200 millimeters (over seven inches) of rain fell over the area in 12 hours, and the Guadalupe River rose nearly 8 meters (26 feet) in just 45 minutes.

Q&A: New method measures how quickly heat spreads through mountain permafrost

Phys.org: Earth science - Fri, 12/19/2025 - 00:20
Mountain permafrost is warming and thawing worldwide due to climate change, with ground temperature being a key control of its mechanical stability. Heat conduction is the dominant mode of heat transfer in frozen ground, and thermal diffusivity governs the rate at which temperature changes propagate through the subsurface. Despite its relevance, there are few field-based estimates of thermal diffusivity.

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