Stream Boundary Detection of a Hyper-Arid, Polar Region Using a U-Net Architecture: Taylor Valley, Antarctica

Convolutional neural networks (CNNs) are becoming an increasingly popular approach for classification mapping of large complex regions where manual data collection is too time consuming. Stream boundaries in hyper-arid polar regions such as the McMurdo Dry Valleys (MDVs) in Antarctica are difficult to locate because they have little hydraulic flow throughout the short summer months. This paper utilizes a U-Net CNN to map stream boundaries from lidar derived rasters in Taylor Valley located within the MDVs, covering ∼770 km2. The training dataset consists of 217 (300 × 300 m2) well-distributed tiles of manually classified stream boundaries with diverse geometries (straight, sinuous, meandering, and braided) throughout the valley. The U-Net CNN is trained on elevation, slope, lidar intensity returns, and flow accumulation rasters. These features were used for detection of stream boundaries by providing potential topographic cues such as inflection points at stream boundaries and reflective properties of streams such as linear patterns of wetted soil, water, or ice. Various combinations of these features were analyzed based on performance. The test set performance revealed that elevation and slope had the highest performance of the feature combinations. The test set performance analysis revealed that the CNN model trained with elevation independently received a precision, recall, and F1 score of 0.94±0.05, 0.95±0.04, and 0.94±0.04 respectively, while slope received 0.96±0.03, 0.93±0.04, and 0.94±0.04, respectively. The performance of the test set revealed higher stream boundary prediction accuracies along the coast, while inland performance varied. Meandering streams had the highest stream boundary prediction performance on the test set compared to the other stream geometries tested here because meandering streams are further evolved and have more distinguishable breaks in slope, indicating stream boundaries. These methods provide a novel approach for mapping stream boundaries semi-automatically in complex regions such as hyper-arid environments over larger scales than is possible for current methods.

Antarctic Permafrost Degassing Revealed By Extensive Soil Gas and Co2 Flux Survey in Taylor Valley

McMurdo Dry Valleys comprise 10% of the ice-free soil surface areas in Antarctica. Permafrost stability plays an important role in C-cycle as it potentially stores considerable quantities of greenhouse gases. While the geomorphology of the Dry Valleys reflects a long history of changing climate conditions, comparison with the rapidly warming Northern polar region suggests that future climate and ecosystems may change more rapidly from permafrost degradation. In Austral summer 2019/2020 a comprehensive sampling of soil gases and CO2 flux measurements was undertaken in the Taylor Valley, with the aims to identify potential presence of soil gases in the active layer. The results obtained show high concentrations of CH4, CO2, He and an increasing CO2 flux rate. We identify the likely source of the gas to be from dissolved gases in deep brine moving from inland (potentially underneath the Antarctic Ice Sheet) to the coast at depth beneath the permafrost layer.

Choosing an optimal β factor for relaxed eddy accumulation applications across vegetated and non-vegetated surfaces

<p>Understanding the source and transport behavior of atmospheric trace gases is important to better quantify, predict, and mitigate anthropogenic effects on the environment and climate. The relaxed eddy accumulation (REA) method enables measuring the fluxes of atmospheric compounds for which fast-response sensors are not available. In REA applications, air is sampled depending on the direction of the vertical wind w, into a reservoir for updrafts, and a reservoir for downdrafts, respectively. Deadbands are used to select only certain turbulent motions during sampling to obtain the concentration difference. The <em>β</em> factor is used to scale the measured concentration difference between both reservoirs to the flux.</p> <p>In this study, we evaluated a variety of different REA approaches with the goal of formulating recommendations applicable over a wide range of surfaces and meteorological conditions for an optimal choice of the <em>β</em> factor in combination with a suitable deadband. Observations with fast-response sensors were collected in three contrasting ecosystems offering stark differences in scalar transport and dynamics: a mid-latitude grassland ecosystem in Europe (Lindenberg, Germany), a loose gravel surface of the Dry Valleys of Antarctica, and a spruce forest site in the European mid-range mountains (Waldstein, Germany). REA applications were simulated using the high-frequency observations.</p>

Macroclimatic conditions as main drivers for symbiotic association patterns in lecideoid lichens along the Transantarctic Mountains, Ross Sea region, Antarctica

Lecideoid lichens as dominant vegetation-forming organisms in the climatically harsh areas of the southern part of continental Antarctica show clear preferences in relation to environmental conditions (i.e. macroclimate). 306 lichen samples were included in the study, collected along the Ross Sea coast (78°S–85.5°S) at six climatically different sites. The species compositions as well as the associations of their two dominant symbiotic partners (myco- and photobiont) were set in context with environmental conditions along the latitudinal gradient. Diversity values were nonlinear with respect to latitude, with the highest alpha diversity in the milder areas of the McMurdo Dry Valleys (78°S) and the most southern areas (Durham Point, 85.5°S; Garden Spur, 84.5°S), and lowest in the especially arid and cold Darwin Area (~ 79.8°S). Furthermore, the specificity of mycobiont species towards their photobionts decreased under more severe climate conditions. The generalist lichen species Lecanora fuscobrunnea and Lecidea cancriformis were present in almost all habitats, but were dominant in climatically extreme areas. Carbonea vorticosa, Lecidella greenii and Rhizoplaca macleanii were confined to milder areas. In summary, the macroclimate is considered to be the main driver of species distribution, making certain species useful as bioindicators of climate conditions and, consequently, for assessing the consequences of climate change.

Evaluating the Dominant Controls of Water Erosion in Three Dry Valley Types Using the RUSLE and Geodetector Method

The dry valley is a unique geographic phenomenon in Southwest China with severe water erosion. However, little is known regarding its dominant controls and the discrepancies between dry valley subtypes, leading to the poor management of water erosion. To solve these problems, the revised universal soil loss equation (RUSLE) and Geodetector method were used in a dry temperate (DT), dry warm (DW), and dry hot (DH) valley. Results indicated that dry valleys suffer severe water erosion with a value of 64.78, 43.85, and 33.81 t·ha−1·yr−1. The Geodetector method is proven to be an efficient tool to quantify the dominant factor of water erosion. It was established that land use types (LUT) have the closest relationship with water erosion. The controls for water erosion could be better explained by multi-factor interactions analysis, particularly for the combination of slope and LUT in DW (q = 0.71) and DH (q = 0.66). Additionally, regions at high risk of water erosion were characterized by steep slope (>30°) and low vegetation coverage (<50%) in DT, while the opposite is shown in DH. These findings could provide insight for guiding soil erosion management and ecological restoration strategies that balance economic and environmental sustainability.

Dry sedimentation processes in the high-elevation McMurdo Dry Valleys, Antarctica: A case study in University Valley

<p>The hyper-arid, cryotic, wind-dominated conditions in the high-elevation McMurdo Dry Valleys of Antarctica are among Earth’s most extreme environments and represent the closest terrestrial analog to the surface of Mars. These unique conditions result in complex surface processes that occur in the overall absence of liquid water. However, since water is typically believed to be required for these processes to occur, the mechanisms responsible for how these processes can persist in this environment are poorly understood. Previous studies that focused on individual processes of sedimentation in the Dry Valleys leave questions regarding the role of water in dry cryotic sedimentation as well as the rates at which these processes occur. This thesis addresses these questions by combining Optically Stimulated Luminescence (OSL) dating, meteoric Beryllium-10 (10Be) measurements, soil geochemistry analysis, and petrographic microscopy analysis on ice-cemented permafrost cores taken from University Valley, one of the high-elevation Dry Valleys, where the availability and effects of liquid water are minimal. These analyses were used to explore four main sedimentation processes that occur in the Dry Valleys: chemical weathering, fine particle translocation, eolian transport, and physical weathering. Analyzed together, findings from these analyses comprehensively describe the complex processes involved in dry cryotic sedimentation and determine the roles of different phases of water in this environment. Sediments in University Valley have accumulated at a rate of approximately 2.1 mm/ka for the last 200 ka, as dated by OSL, from erosion of the valley walls and deposition of windblown dust. Sediment accumulation is influenced by topography of the valley floor, depth of the ice table, aspect of the valley walls, wind direction, and mechanical breakdown of rocks due to solar heating. While persistent winds constantly remobilize fine particles and dust in the upper few cm of the dry ground, sediment grains that are sand-sized or larger do not undergo significant remobilization, and sediments in the ice-cemented ground are unaffected by remobilization and translocation processes. Rare clay bridges seen in thin section show that small, infrequent, transient surface wetting events have occurred over the last 200 ka. High anion concentrations associated with high surface meteoric 10Be measurements and clay bridges indicate that the source of these wetting events is the melting of wind-blown snow from coastal regions. Patterns in meteoric Be measurements show that these small transient wetting events are not sufficient to translocate fine particles through the soil profile, which suggests that the role of liquid water as a transporting agent is negligible in this environment. Chemical weathering in University Valley appears to be controlled by two main components: dolerite content of the sediments, and exposure to the atmosphere at the ground surface where condensation of water vapor onto grain surfaces readily leaches ions from dolerite grains under the oxidizing conditions of the Dry Valleys. In the absence of liquid water, chemical processes that occur in this environment rely on water vapor. Together, these results indicate that surfaces in University Valley are remarkably young and sedimentologically active. Because University Valley represents one of the closest terrestrial analogs to the surface of Mars, findings from this thesis may be applicable to understanding the timescales and the processes that control anhydrous sedimentation on the surface of Mars.</p>

Dry sedimentation processes in the high-elevation McMurdo Dry Valleys, Antarctica: A case study in University Valley

<p>The hyper-arid, cryotic, wind-dominated conditions in the high-elevation McMurdo Dry Valleys of Antarctica are among Earth’s most extreme environments and represent the closest terrestrial analog to the surface of Mars. These unique conditions result in complex surface processes that occur in the overall absence of liquid water. However, since water is typically believed to be required for these processes to occur, the mechanisms responsible for how these processes can persist in this environment are poorly understood. Previous studies that focused on individual processes of sedimentation in the Dry Valleys leave questions regarding the role of water in dry cryotic sedimentation as well as the rates at which these processes occur. This thesis addresses these questions by combining Optically Stimulated Luminescence (OSL) dating, meteoric Beryllium-10 (10Be) measurements, soil geochemistry analysis, and petrographic microscopy analysis on ice-cemented permafrost cores taken from University Valley, one of the high-elevation Dry Valleys, where the availability and effects of liquid water are minimal. These analyses were used to explore four main sedimentation processes that occur in the Dry Valleys: chemical weathering, fine particle translocation, eolian transport, and physical weathering. Analyzed together, findings from these analyses comprehensively describe the complex processes involved in dry cryotic sedimentation and determine the roles of different phases of water in this environment. Sediments in University Valley have accumulated at a rate of approximately 2.1 mm/ka for the last 200 ka, as dated by OSL, from erosion of the valley walls and deposition of windblown dust. Sediment accumulation is influenced by topography of the valley floor, depth of the ice table, aspect of the valley walls, wind direction, and mechanical breakdown of rocks due to solar heating. While persistent winds constantly remobilize fine particles and dust in the upper few cm of the dry ground, sediment grains that are sand-sized or larger do not undergo significant remobilization, and sediments in the ice-cemented ground are unaffected by remobilization and translocation processes. Rare clay bridges seen in thin section show that small, infrequent, transient surface wetting events have occurred over the last 200 ka. High anion concentrations associated with high surface meteoric 10Be measurements and clay bridges indicate that the source of these wetting events is the melting of wind-blown snow from coastal regions. Patterns in meteoric Be measurements show that these small transient wetting events are not sufficient to translocate fine particles through the soil profile, which suggests that the role of liquid water as a transporting agent is negligible in this environment. Chemical weathering in University Valley appears to be controlled by two main components: dolerite content of the sediments, and exposure to the atmosphere at the ground surface where condensation of water vapor onto grain surfaces readily leaches ions from dolerite grains under the oxidizing conditions of the Dry Valleys. In the absence of liquid water, chemical processes that occur in this environment rely on water vapor. Together, these results indicate that surfaces in University Valley are remarkably young and sedimentologically active. Because University Valley represents one of the closest terrestrial analogs to the surface of Mars, findings from this thesis may be applicable to understanding the timescales and the processes that control anhydrous sedimentation on the surface of Mars.</p>

A Machine Learning Based Downscaling Approach to Produce High Spatio-Temporal Resolution Land Surface Temperature of the Antarctic Dry Valleys from MODIS Data

To monitor environmental and biological processes, Land Surface Temperature (LST) is a central variable, which is highly variable in space and time. This particularly applies to the Antarctic Dry Valleys, which host an ecosystem highly adapted to the extreme conditions in this cold desert. To predict possible climate induced changes on the Dry Valley ecosystem, high spatial and temporal resolution environmental variables are needed. Thus we enhanced the spatial resolution of the MODIS satellite LST product that is sensed sub-daily at a 1 km spatial resolution to a 30 m spatial resolution. We employed machine learning models that are trained using Landsat 8 thermal infrared data from 2013 to 2019 as a reference to predict LST at 30 m resolution. For the downscaling procedure, terrain derived variables and information on the soil type as well as the solar insolation were used as potential predictors in addition to MODIS LST. The trained model can be applied to all available MODIS scenes from 1999 onward to develop a 30 m resolution LST product of the Antarctic Dry Valleys. A spatio-temporal validation revealed an R2 of 0.78 and a RMSE of 3.32 ∘C. The downscaled LST will provide a valuable surface climate data set for various research applications, such as species distribution modeling, climate model evaluation, and the basis for the development of further relevant environmental information such as the surface moisture distribution.

Greater loss and fragmentation of savannas than forests over the last three decades in Yunnan Province, China

Yunnan Province, southwest China, has a monsoonal climate suitable for a mix of fire-driven savannas and fire-averse forests as alternate stable states, and has vast areas with savanna physiognomy. Presently, savannas are only formally recognised in the dry valleys of the region, and a no-fire policy has been enforced nationwide since the 1980s. Misidentification of savannas as forests may have contributed to their low protection level and fire-suppression may be contributing to vegetation change towards forest states through woody encroachment. Here, we present an analysis of vegetation and land-use change in Yunnan for years 1986, 1996, 2006, and 2016 by classifying Landsat imagery using a hybrid of unsupervised and supervised classification. We assessed how much savanna area had changed over the three decades (area loss, fragmentation), and of this how much was due to direct human intervention versus vegetation transition. We also assessed how climate (mean annual temperature, aridity), landscape accessibility (slope, distance to roads), and fire had altered transition rates. Our classification yielded accuracy values of 77.89%, 82.16%, 94.93%, and 86.84% for our four maps, respectively. In 1986, savannas had the greatest area of any vegetation type in Yunnan at 40.30%, whereas forest cover was 30.78%. Savanna coverage declined across the decades mainly due to a drop in open parkland savannas, while forest cover remained stable. Savannas experienced greater fragmentation than forests. Savannas suffered direct loss of coverage to human uses and to woody encroachment. Savannas in more humid environments switched to denser vegetation at a higher rate. Fire slowed the rate of conversion away from savanna states and promoted conversion towards them. We identified remaining savannas in Yunnan that can be considered when drafting future protected areas. Our results can inform more inclusive policy-making that considers Yunnan’s forests and savannas as distinct vegetation types with different management needs.

Physicochemical Parameters Limiting Growth of Debaryomyces hansenii in Solutions of Hygroscopic Compounds and Their Effects on the Habitability of Martian Brines

The availability of liquid water is a prerequisite for all lifeforms on Earth. In hyperarid subzero environments like the Dry Valleys in Antarctica or the near-subsurface of Mars liquid water might be provided temporarily by hygroscopic substances that absorb water from the atmosphere and lower the freezing point of water. To evaluate the potential of hygroscopic compounds to serve as a habitat, it is necessary to explore the microbial tolerances towards these substances and their life-limiting properties. Here we present a study investigating the tolerances of the halotolerant yeast Debaryomyces hansenii to various solutes. Growth experiments were conducted via counting colony forming units (CFUs) after inoculation of a liquid growth medium containing a specific solute concentration. The lowest water activities (aw) enabling growth were determined to be ~0.83 in glycerol and fructose-rich media. For all other solutes the growth-enabling aw was higher, due to additional stress factors such as chaotropicity and ionic strength. Additionally, we found that the solute tolerances of D. hansenii correlate with both the eutectic freezing point depressions and the deliquescence relative humidities of the respective solutes. Our findings strongly impact our understanding of the habitability of solute-rich low aw environments on Earth and beyond.