This study investigates black carbon (BC) concentrations in the seasonal snowpack on the Godwin-Austen Glacier and in surface snow at K2 Camps 1 and 2 (Karakoram Range), assessing their impact on snowmelt during the 2019 ablation season. Potential BC and moisture sources were identified through back-trajectory analysis and atmospheric reanalyses. Variations in water stable isotopes (δ1⁸O and δ2H) in the snowpack were analysed to confirm its representativeness as a climatic record for the 2018–19 accumulation season. The average BC concentration in the snow pits (12 ng g−1) generated 66 mm w.e. (or 53 mm w.e. excluding the basal zone) of meltwater. Surface snow at K2 Camp 1 showed BC concentrations of 7 ng g−1, consistent with those on the snowpack surface, suggesting it may reflect local BC levels in late February 2019. In contrast, higher concentrations at K2 Camp 2 (26 ng g−1) were potentially linked to expedition activities.

The Fedchenko Glacier in central Pamir is one of Asia’s longest glaciers and has been a focal point for scientific investigation spanning the 20th and 21st centuries. This study explores a time series of elevation changes from 1928 to 2021 using diverse data sources: historical maps, optical digital elevation models from various sensors (KH-9, SPOT5 and Pléiades), ICESat laser altimetry and GNSS surveys. The mean rate of elevation change along the glacier center line over this period of 93 years is $-0.46\ \mathrm{m\ yr}^{-1}$. The different sub-periods of elevation changes are investigated together with Fedchenko meteorological station data (1936–91) and ERA5 reanalysis (1950–2021). The most moderate thinning is observed during the earliest and coldest period (1928–58). The 1958–80 period is characterized by large thinning rates that can be partially explained by a dry anomaly and, locally, by a dynamic thinning related to a probable, but not directly observed, surge-like event. A wet anomaly in 1980–2010 potentially mitigated temperature-induced mass losses for this warm period, which is consistent with the observed moderate thinning. From 2010 to 2021, substantial thinning of $-0.31\,\mathrm{m\ yr}^{-1}$ was recorded in the accumulation area (>4800 m a.s.l.), in line with a broader trend of generalized mass losses in the Pamir region.

Currently, methods for mapping agricultural crops have been predominantly developed for a number of the most important and popular crops. These methods are often based on remote sensing data, scarce information about the location and boundaries of fields of a particular crop, and involve analyzing phenological changes throughout the growing season by utilizing vegetation indices, e.g., the normalized difference vegetation index. However, this approach encounters challenges when attempting to distinguish fields with different crops growing in the same area or crops that share similar phenology. This complicates the reliable identification of the target crops based solely on vegetation index patterns. This research paper aims to investigate the potential of advanced techniques for crop mapping using satellite data and qualitative information. These advanced approaches involve interpreting features in satellite images in conjunction with cartographic, statistical, and climate data. The study focuses on data collection and mapping of three specific crops: lavender, almond, and barley, and relies on various sources of information for crop detection, including satellite image characteristics, regional statistical data detailing crop areas, and phenological information, such as flowering dates and the end of the growing season in specific regions. As an example, the study attempts to visually identify lavender fields in Bulgaria and almond orchards in the USA. We test several state-of-the-art methods for semantic segmentation (U-Net, UNet++, ResUnet). The best result was achieved by a ResUnet model (96.4%). Furthermore, the paper explores how vegetation indices can be leveraged to enhance the precision of crop identification, showcasing their advanced capabilities for this task.

Glacier and snow melt are the primary sources of water for streams, and rivers in upper Indus region of the western Himalaya. However, the magnitude of runoff from this glacierized basin is expected to vary with the available energy in the catchment. Here, we used a physically based energy balance model to estimate the surface energy and surface mass balance (SMB) of the upper Chandra Basin glaciers for 7 hydrological years from 2015 to 2022. A strong seasonality is observed, with net radiation being the dominant energy flux in the summer, while latent and sensible heat flux dominated in the winter. The estimated mean annual SMB of the upper Chandra Basin glaciers is −0.51 ± 0.28 m w.e. a−1, with a cumulative SMB of −3.54 m w.e during 7 years from 2015 to 2022. We find that the geographical factors like aspect, slope, size and elevation of the glacier contribute towards the spatial variability of SMB within the study region. The findings reveal that a 42% increase in precipitation is necessary to counteract the additional mass loss resulting from a 1°C increase in air temperature for the upper Chandra Basin glaciers.

Identifying early indicators of volcanic eruptions is a fundamental part of natural hazard management but is notoriously difficult. Here we consider whether monitoring changes in glacier velocity can help. We use satellite images to investigate changes in the surface velocity of Cone Glacier (Alaska) between November 2017 and January 2022, a period encompassing two eruptions of Mount Veniaminof on which the glacier sits. Our data show high glacier velocities months prior to these eruptions and low velocities immediately before, during and after the 2018 eruption, likely caused by volcanically triggered ice melt and associated changes in subglacial water pressures. Evidence for elevated velocities months prior to eruptions is particularly important and indicates that glacier speed-up might be an early indicator of volcanic unrest. Thus, glaciers could serve as tools for volcano monitoring and eruption forecasting since more than 2500 glaciers globally are located within 5 km of an active volcano.

The Vicissicaudata, a group of artiopods, originated and reached their highest diversity during the Cambrian period. However, relatively few vicissicaudatan species are known from the Paleozoic. Here we report a new species of vicissicaudatan arthropod, sister to the cheloniellids, from the Late Carboniferous Mazon Creek Lagerstätte. The two specimens preserve a small eyeless head, a trunk comprising seven tergites with wide pleural lobes, a narrower postabdomen bearing two long, posteriorly directed caudal appendages, and a short, shield-shaped telson. This new species not only extends the stratigraphic range of the Vicissicaudata into the Late Paleozoic but also represents an intermediate morphology between the cheloniellids and other vicissicaudatans.

The Antarctic Treaty System has put in place international agreements to provide comprehensive protection of the Antarctic environment. Despite this high degree of protection, human presence on the continent has resulted in environmental contamination, particularly at locations established prior to the development of the more stringent codes of conduct in recent decades. Rehabilitation of legacy contaminated sites is a priority for environmental management, and a framework for such efforts has been established. In this contribution, we re-evaluate the rehabilitation of the site of the former Vanda Station, a New Zealand outpost occupied from 1969 to 1991. We describe the design and implementation of the restoration, which included the removal of many tonnes of contaminated soils and groundwater, along with the post-action monitoring of the site. Our goal is to determine where challenges to the use of recent guidelines would have arisen. We found that while guidelines on clean-up of contaminated sites in Antarctica are valuable, challenges to implementation remain. These largely reflect a lack of understanding of the consequences of contamination on Antarctic ecosystems and the trajectory of natural rehabilitation. We present recommendations on how to address some of these challenges.

The Republic of Sakha (Yakutia) faces serious demographic challenges. One of the most important among them is the imbalance of population flows within internal migration. This paper examines the patterns of internal migration in the Republic, based on the distribution of municipal districts (uluses) by economic zones designated by the authorities for administrative purposes. The six most common indices characterising the intensity of migration of the population were used for the analysis. The homogeneity of Yakutia’s districts according to these indices was tested using the van der Waerden test. The article reveals that the intensity of migration in Yakutia has increased since 2011. The financial crisis of 2008–2009 and the COVID-19 pandemic had a significant but temporary impact on internal migration in Yakutia. Only Yakutsk has experienced population growth due to internal migration throughout the period studied. The intensity of migration in the Arctic uluses was not statistically different from central and eastern uluses, but differed from the most economically developed districts in southern and western Yakutia. The Republic was homogeneous with respect to the balance of migration inflows and outflows, but there was considerable heterogeneity in terms of the impact of migration on the size of the population.

Highly dynamic, ephemeral ice cliffs are melting hotspots on debris-covered glaciers. While the seasonal evolution of Himalayan ice cliffs is well documented, short-term changes on hourly to daily scales and their driving factors are rarely investigated. This study reports hourly backwasting rates of a supraglacial ice cliff at Machoi Glacier ($34.29^{\circ}\,\mathrm{N}$, $75.53^{\circ}\,\mathrm{E}$) in the western Himalaya, measured over 3 days in June 2022 using a terrestrial laser scanner (TLS). An energy-balance model, incorporating the ice cliff’s topography, solar positions and radiation components, analyses the drivers of variability in backwasting rates. Within a single day (29 June), we observed very large variability in hourly mean backwasting rates, rising from $0.38 \pm 0.05\ \mathrm{cm\,hr}^{-1}$ (1430–1530 hours) to 1.06 ± $0.13\ \mathrm{cm\ h}^{-1}$ (1530–1630 hours), driven by direct solar radiation (solar elevation angle ∼50∘). Subsequently, rates declined to $0.68 \pm 0.03\ \mathrm{cm\ h}^{-1}$ (1730–1830 hours) influenced by diffuse shortwave and net longwave radiation. The mean daily backwasting rate ($7.7 \pm 0.13\ \mathrm{cm\ d}^{-1}$) resulted in the complete melting of the ice cliff within 2 months. This study highlights the potential of TLS to estimate short-term variations in ice cliff dynamics and controlling processes.

Jordan’s mammalian fauna has experienced significant declines due to intensified hunting since the early twentieth century, leading to the extinction of six species and threatening 39% of the remaining species. This research evaluates the evolution of Jordan’s hunting laws across three historical stages – the Ottoman period, the establishment of Jordan and the modern era – highlighting their impacts on mammalian diversity and identifying legislative gaps contributing to species declines. Using Arabic-based legal databases and historical archives, we found that inadequate legal frameworks, political instability, economic pressures and weak enforcement often accelerated species depletion. Notably, the 1957 Hunting Law permitted hunting of vulnerable species with a licence and of predators without a licence, worsening species decline. Although the 1962 Defense Law aimed to protect nature, its expiration hindered progress. The 1966 Hunting Law largely duplicated the 1957 law, perpetuating these problems, and then hunting regulations were absorbed into agricultural law, undermining conservation efforts. Despite these legal shortcomings, Jordan’s modernization vision provides hope for reform, including the potential restoration of the Hunting Law under the Ministry of Environment and incorporating the right to a healthy environment into Jordan’s constitution to help prevent a mass extinction of mammals.

Noeggerathiales were until recently a group of plants with uncertain systematic position that existed in the Carboniferous and Permian times. Recent discoveries classify them as heterosporous progymnosperms. Despite the discovery of additional specimens, the group still remains highly artificial because their reproductive organs are rarely preserved in organic connection. Within the Carboniferous of Iberian Massif, the noeggerathialeans are poorly represented. Here, we describe Palaeopteridium andrenelii sp. nov. from the uppermost Carboniferous of Portugal. This is the second representative of Noeggerathiales reported in the Portuguese Carboniferous after Carlos Teixeira have described the noeggerathialean Rhacopteris gomesiana in the 1940s from Douro Carboniferous Basin (Stephanian C/lower Gzhelian, Upper Pennsylvanian). Palaeopteridium andrenelii was found in upper Asturian (upper Moscovian, Middle Pennsylvanian) strata from the classical Westphalian outcrops of Ervedosa, located in the region of Alto da Serra (Fânzeres), Gondomar, in northwestern Portugal. Two reproductive structures are associated with the frond of the new fossil species. Although not organically linked, both structures could belong to parent plant (frond) and represent possible detached macrosporangia. This reenforces the Palaeopteridium as a noeggerathialean and the first reproductive structures found for this genus.