Relevant bibliographies by topics / Plant-snow relationships

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  1. Journal articles
  2. Dissertations / Theses
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  5. Conference papers

Academic literature on the topic 'Plant-snow relationships'

Author: Grafiati
Published: 4 June 2021
Last updated: 1 August 2024

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Journal articles on the topic "Plant-snow relationships"

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Gargano, Domenico, Giuseppe Vecchio, and Liliana Bernardo. "Plant–soil relationships in fragments of Mediterranean snow-beds: ecological and conservation implications." Plant Ecology 207, no. 1 (September 13, 2009): 175–89. http://dx.doi.org/10.1007/s11258-009-9663-7.

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Ferrari, C., and G. Rossi. "Relationships between plant communities and late snow melting on Mount Prado (Northern Apennines, Italy)." Vegetatio 120, no. 1 (September 1995): 49–58. http://dx.doi.org/10.1007/bf00033457.

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Maki, Teruya, Shogo Furumoto, Yuya Asahi, Kevin C. Lee, Koichi Watanabe, Kazuma Aoki, Masataka Murakami, et al. "Long-range-transported bioaerosols captured in snow cover on Mount Tateyama, Japan: impacts of Asian-dust events on airborne bacterial dynamics relating to ice-nucleation activities." Atmospheric Chemistry and Physics 18, no. 11 (June 8, 2018): 8155–71. http://dx.doi.org/10.5194/acp-18-8155-2018.

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Abstract. The westerly wind travelling at high altitudes over eastern Asia transports aerosols from the Asian deserts and urban areas to downwind areas such as Japan. These long-range-transported aerosols include not only mineral particles but also microbial particles (bioaerosols), that impact the ice-cloud formation processes as ice nuclei. However, the detailed relations of airborne bacterial dynamics to ice nucleation in high-elevation aerosols have not been investigated. Here, we used the aerosol particles captured in the snow cover at altitudes of 2450 m on Mt Tateyama to investigate sequential changes in the ice-nucleation activities and bacterial communities in aerosols and elucidate the relationships between the two processes. After stratification of the snow layers formed on the walls of a snow pit on Mt Tateyama, snow samples, including aerosol particles, were collected from 70 layers at the lower (winter accumulation) and upper (spring accumulation) parts of the snow wall. The aerosols recorded in the lower parts mainly came from Siberia (Russia), northern Asia and the Sea of Japan, whereas those in the upper parts showed an increase in Asian dust particles originating from the desert regions and industrial coasts of Asia. The snow samples exhibited high levels of ice nucleation corresponding to the increase in Asian dust particles. Amplicon sequencing analysis using 16S rRNA genes revealed that the bacterial communities in the snow samples predominately included plant associated and marine bacteria (phyla Proteobacteria) during winter, whereas during spring, when dust events arrived frequently, the majority were terrestrial bacteria of phyla Actinobacteria and Firmicutes. The relative abundances of Firmicutes (Bacilli) showed a significant positive relationship with the ice nucleation in snow samples. Presumably, Asian dust events change the airborne bacterial communities over Mt Tateyama and carry terrestrial bacterial populations, which possibly induce ice-nucleation activities, thereby indirectly impacting climate change.
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Happonen, Konsta, Juha Aalto, Julia Kemppinen, Pekka Niittynen, Anna-Maria Virkkala, and Miska Luoto. "Snow is an important control of plant community functional composition in oroarctic tundra." Oecologia 191, no. 3 (September 14, 2019): 601–8. http://dx.doi.org/10.1007/s00442-019-04508-8.

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Abstract The functional composition of plant communities is a critical modulator of climate change impacts on ecosystems, but it is not a simple function of regional climate. In the Arctic tundra, where climate change is proceeding the most rapidly, communities have not shifted their trait composition as predicted by spatial temperature–trait relationships. Important causal pathways are thus missing from models of trait composition change. Here, we study causes of plant community functional variation in an oroarctic tundra landscape in Kilpisjärvi, Finland. We consider the community-weighted means of plant vegetative height, as well as two traits related to the leaf economic spectrum. Specifically, we model their responses to locally measured summer air temperature, snow conditions, and soil resource levels. For each of the traits, we also quantify the importance of intraspecific trait variation (ITV) for between-community functional differences and trait–environment matching. Our study shows that in a tundra landscape (1) snow is the most influential abiotic variable affecting functional composition, (2) vegetation height is under weak local environmental control, whereas leaf economics is under strong local environmental control, (3) the relative magnitude of ITV differs between traits, and (4) ITV is not very consequential for community-level trait–environment relationships. Our analyses highlight the importance of winter conditions for community functional composition in seasonal areas. We show that winter climate change can either amplify or counter the effects summer warming, depending on the trait.
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Amikishieva, Ruslana A., Vladimir F. Raputa, and Irina A. Solov ‘eva. "GROUND AND SATELLITE MONITORING OF POLLUTION PROCESSES ISKITIM-LINEVSK INDUSTRIAL ZONE." Interexpo GEO-Siberia 4, no. 1 (May 21, 2021): 60–65. http://dx.doi.org/10.33764/2618-981x-2021-4-1-60-65.

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The results of a numerical analysis of atmospheric pollution in the vicinity of the industrial site of the Chernorechensky cement plant (CCP) and the territory of Iskitim are presented. The research material was the results of sampling melted snow for 2019-20. The snow index (NDSI), calculated from high-resolution images from the Landsat and Sentinel satellites, was used as satellite data. Statistical relationships between ground-based and satellite observations are given. The general dynamics of changes in the impurity concentration in the snow and NDSI values are revealed. The concentration is calculated on the basis of low-parameter reconstruction models using ground-based measurements. For calculations and visualization, the means of the geographic information system, which was developed earlier, were used. These studies represent the basis for the development of a methodology for a comprehensive analysis of the process of atmospheric pollution using ground-based and satellite observations.
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Asam, Sarah, Mattia Callegari, Michael Matiu, Giuseppe Fiore, Ludovica De Gregorio, Alexander Jacob, Annette Menzel, Marc Zebisch, and Claudia Notarnicola. "Relationship between Spatiotemporal Variations of Climate, Snow Cover and Plant Phenology over the Alps—An Earth Observation-Based Analysis." Remote Sensing 10, no. 11 (November 7, 2018): 1757. http://dx.doi.org/10.3390/rs10111757.

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Alpine ecosystems are particularly sensitive to climate change, and therefore it is of significant interest to understand the relationships between phenology and its seasonal drivers in mountain areas. However, no alpine-wide assessment on the relationship between land surface phenology (LSP) patterns and its climatic drivers including snow exists. Here, an assessment of the influence of snow cover variations on vegetation phenology is presented, which is based on a 17-year time-series of MODIS data. From this data snow cover duration (SCD) and phenology metrics based on the Normalized Difference Vegetation Index (NDVI) have been extracted at 250 m resolution for the entire European Alps. The combined influence of additional climate drivers on phenology are shown on a regional scale for the Italian province of South Tyrol using reanalyzed climate data. The relationship between vegetation and snow metrics strongly depended on altitude. Temporal trends towards an earlier onset of vegetation growth, increasing monthly mean NDVI in spring and late summer, as well as shorter SCD were observed, but they were mostly non-significant and the magnitude of these tendencies differed by altitude. Significant negative correlations between monthly mean NDVI and SCD were observed for 15–55% of all vegetated pixels, especially from December to April and in altitudes from 1000–2000 m. On the regional scale of South Tyrol, the seasonality of NDVI and SCD achieved the highest share of correlating pixels above 1500 m, while at lower elevations mean temperature correlated best. Examining the combined effect of climate variables, for average altitude and exposition, SCD had the highest effect on NDVI, followed by mean temperature and radiation. The presented analysis allows to assess the spatiotemporal patterns of earth-observation based snow and vegetation metrics over the Alps, as well as to understand the relative importance of snow as phenological driver with respect to other climate variables.
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Rüstem, Gül. "Heavy Metal Content of the Keban Lead Plant Slag and Movement of Metals in Soil of the Surrounding Region." Water Quality Research Journal 29, no. 4 (November 1, 1994): 531–44. http://dx.doi.org/10.2166/wqrj.1994.033.

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Abstract The heavy metal content of the Keban lead plant (KLP) slag, its variation with time under rain and snow, the capacity of the Keban region soil to remove heavy metal ions, and the distribution of these metals in soil were investigated. For this purpose, the dilute acetic acid extraction test of the U.S. Environmental Protection Agency was applied to the slag samples and amounts of heavy metals extracted with hot (80°C) 4 M HNO3 from soil samples at different depths were determined. The concentrations of heavy metal ions in the soil varied with depth, and the heavy metal content of the slag changed with time, showing effects of rain and melt water from snow. From the observed relationships, which take into account the heavy metal content of the slag and the capacity of the soil to remove metal ions leached from the slag, it was concluded that KLP slag from different sites can be applied to land.
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Devadoss, Jashvina, Nicola Falco, Baptiste Dafflon, Yuxin Wu, Maya Franklin, Anna Hermes, Eve-Lyn S. Hinckley, and Haruko Wainwright. "Remote Sensing-Informed Zonation for Understanding Snow, Plant and Soil Moisture Dynamics within a Mountain Ecosystem." Remote Sensing 12, no. 17 (August 24, 2020): 2733. http://dx.doi.org/10.3390/rs12172733.

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In the headwater catchments of the Rocky Mountains, plant productivity and its dynamics are largely dependent upon water availability, which is influenced by changing snowmelt dynamics associated with climate change. Understanding and quantifying the interactions between snow, plants and soil moisture is challenging, since these interactions are highly heterogeneous in mountainous terrain, particularly as they are influenced by microtopography within a hillslope. Recent advances in satellite remote sensing have created an opportunity for monitoring snow and plant dynamics at high spatiotemporal resolutions that can capture microtopographic effects. In this study, we investigate the relationships among topography, snowmelt, soil moisture and plant dynamics in the East River watershed, Crested Butte, Colorado, based on a time series of 3-meter resolution PlanetScope normalized difference vegetation index (NDVI) images. To make use of a large volume of high-resolution time-lapse images (17 images total), we use unsupervised machine learning methods to reduce the dimensionality of the time lapse images by identifying spatial zones that have characteristic NDVI time series. We hypothesize that each zone represents a set of similar snowmelt and plant dynamics that differ from other identified zones and that these zones are associated with key topographic features, plant species and soil moisture. We compare different distance measures (Ward and complete linkage) to understand the effects of their influence on the zonation map. Results show that the identified zones are associated with particular microtopographic features; highly productive zones are associated with low slopes and high topographic wetness index, in contrast with zones of low productivity, which are associated with high slopes and low topographic wetness index. The zones also correspond to particular plant species distributions; higher forb coverage is associated with zones characterized by higher peak productivity combined with rapid senescence in low moisture conditions, while higher sagebrush coverage is associated with low productivity and similar senescence patterns between high and low moisture conditions. In addition, soil moisture probe and sensor data confirm that each zone has a unique soil moisture distribution. This cluster-based analysis can tractably analyze high-resolution time-lapse images to examine plant-soil-snow interactions, guide sampling and sensor placements and identify areas likely vulnerable to ecological change in the future.
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Gentilucci, Matteo, and Gilberto Pambianchi. "Prediction of Snowmelt Days Using Binary Logistic Regression in the Umbria-Marche Apennines (Central Italy)." Water 14, no. 9 (May 6, 2022): 1495. http://dx.doi.org/10.3390/w14091495.

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Snow cover in a mountain area is a physical parameter that induces quite rapid changes in the landscape, from a geomorphological point of view. In particular, snowmelt plays a crucial role in the assessment of avalanche risk, so it is essential to know the days when snowmelt is expected, in order to prepare operational alert levels. Moreover, melting of the snow cover has a direct effect on the recharge of the water table, as well as on the regulation of the vegetative cycle of mountain plants. Therefore, a study on snowmelt, its persistence on the ground, and the height of the snow cover in the Umbria-Marche Apennines in central Italy is of great interest, since this is an area that is extremely poorly sampled and analysed. This study was conducted on the basis of four mountain weather stations equipped with a recently installed sonar-based snow depth gauge, so that a relatively short period, 2010–2020, was evaluated. A trend analysis revealed non-significant decreases in snow cover height and snow persistence time, in contrast to the significant increasing trend of mean temperature, while parameters such as relative humidity and wind speed did not appear to have a dominant trend. Further analysis showed relationships between snowmelt and the climatic parameters considered, leading to the definition of a mathematical model developed using the binary logistic regression technique, and having a predictive power of 82.6% in the case of days with snowmelt on the ground. The aim of this study was to be a first step towards models aimed at preventing avalanche risk, hydrological risk, and plant species adaptation, as well as providing a more complete definition of the climate of the study area.
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Jacobs, J. D., A. R. Maarouf, and E. A. Perkins. "The recent record of climate on the range of the George River Caribou Herd, Northern Québec and Labrador, Canada." Rangifer 16, no. 4 (January 1, 1996): 193. http://dx.doi.org/10.7557/2.16.4.1242.

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Records from permanent meteorological stations in and around the range of the George River Caribou Herd have been analyzed for the 1950-1991 period in order to identify climatic factors potentially influencing the numbers, condition, and distribution of caribou. Winter conditions identified include a significant temperature decrease over the period and some years of extreme snowfall. Spatial variations in snow cover may be responsible for shifts in winter range. Indications are that summer climate has not varied significantly, but spring and summer conditions may not have been particularly favourable for plant productivity in the summer range of females and calves. Climatological observations more representative of the summer range are needed for a better understanding of ecological relationships there.
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Dissertations / Theses on the topic "Plant-snow relationships"

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Storck, Pascal. "Trees, snow, and flooding : an investigation of forest canopy effects on snow accumulation and melt at the plot and watershed scales in the Pacific Northwest /." Thesis, Connect to this title online; UW restricted, 2000. http://hdl.handle.net/1773/10103.

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Scott, Matthew B., and n/a. "Fine-scale ecology of alpine patterned ground, Old Man Range, Central Otago, New Zealand." University of Otago. Department of Botany, 2007. http://adt.otago.ac.nz./public/adt-NZDU20080130.093120.

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This study is an interdisciplinary ecological study addressing the fine-scale relationships between plants, invertebrates and the environment in an alpine ecosystem. Alpine environments are marked by steep environmental gradients and complex habitat mosaics at various spatial scales. Regular forming periglacial patterned ground landforms on the Old Man Range, Central Otago, South Island, New Zealand present an ideal medium for studying plant-invertebrate-environment relationships due to their partitioning of the landscape into discrete units of contrasting environmental conditions, and the existence of some baseline knowledge of the soil, microclimate, vegetation and flora. The study was conducted in three types of patterned ground (hummocks, stripes and solifluction terraces) on the Old Man Range. Each component of the study was sampled at the same spatial scale for comparison. Temperature was recorded in the soil and ground surface from April 2001 to March 2004 in microtopographic subunits (microsites) of each patterned ground landform. Plant species cover was sampled within each microsite; invertebrates were sampled from soil cores taken from the same locations as plant samples in April 2001 and September 2001. The two sampling occasions coincided with autumn before the soil freezes, and winter when maximum freezing was expected. Fine-scale changes in the topographic relief of the patterned ground led to notable differences in the timing and duration of snow. The steepest environmental gradients existed during periods of uneven snow distribution. The soil in exposed or south-facing microsites froze first, beginning in May, and typically froze to more than 40cm depth. Least exposed microsites rarely froze. Within the microtopography, patterns of freezing at specific locations were consistent between years with only minor differences in the timing or depths of freezing; however, notable variation in freezing existed between similar microsites. Within the microtopography, different assemblages of organisms were associated with different microsites. In total, 84 plant and lichen species were recorded, grouping into six community types. Species composition was best explained by growing degree-days, freeze-thaw cycles, time frozen and snow-free days; species diversity and richness increased with increasing environmental stress as indicated by freeze-thaw cycles, time frozen and exposure. In total 20,494 invertebrates, representing four Phyla, 12 Classes, 23 Orders and 295 morpho-taxa were collected from 0.17m� of soil. Acari, Collembola and Pseudococcidae were the most abundant invertebrates. Over 95% of the invertebrates were found in the plant material and first 10cm depth of soil. Few significant relationships were found between diversity, richness or abundance of invertebrate taxa and the microsites; however, multivariate analyses identified distinct invertebrate assemblages based on abundance. Invertebrate composition was best explained by recent low temperature and moisture, particularly in winter; however, plant composition also explained invertebrate composition, but more so in autumn. This research has shown that organisms in the alpine environment of the Old Man Range are sensitive to fine-scale changes in their environment. These results have implications as to how historical changes to the ecosystem may have had long-lasting influences on the biota, as well as how a currently changing climate may have further impacts on the composition and distribution of organisms.
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Plasencia, Douglas Jon. "Effects of Arizona mixed conifer forests on snow pack dynamics." 1988. http://ezproxy.library.arizona.edu/login?url=.

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Link, Timothy E. "Seasonal snowcover dynamics beneath boreal forest canopies." Thesis, 1998. http://hdl.handle.net/1957/33932.

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The accurate simulation of snowpack deposition and ablation beneath forested areas is confounded by the fact that the vegetation canopy strongly affects the snow surface energy balance. The canopy alters the radiation balance of the snowcover, and reduces the wind speed at the snow surface. Data collected as part of the BOREAS experiment are used to analyze the effects of a variety of forest canopies on the climate at the snow surface. Simple algorithms are developed and used to adjust climate data collected above forest canopies to the snow surface. A 2-layer coupled energy- and mass-balance snowmelt model is used to simulate the deposition and ablation of the snowpack at five forested sites within the Canadian boreal forest for the 1994-1995 snow season. Results of the snowcover simulations indicate that the net snowcover energy balance remains close to zero for the winter months, but exhibits a sharp increase in the spring months. The rapid energy gain in the spring is strongly controlled by canopy cover, and is dominated by net radiation fluxes, with minor contributions from sensible, latent, soil, and advected energy fluxes. Net snowcover irradiance dominates during the spring months due to increased solar intensity and longer day lengths, coupled with increased radiation transmission through canopies at high sun angles, and reduced snowcover albedo resulting from the deposition of fine organic debris. Turbulent (sensible and latent) energy fluxes comprise a relatively minor portion of the net snowcover energy exchange, indicating that the sub-canopy snowcover is relatively insensitive to the meteorological parameters controlling these fluxes. The low thermal conductivity of organic-rich boreal soils must be considered for studies focusing on snowcover development when soil heat flux comprises a large portion of the snowcover energy balance. Model outputs at all sites generally show good agreement with measured snow depths, indicating that the techniques used in these investigations accurately simulate both the deposition and ablation of seasonal snowcovers. Results indicate that snowcovers in the boreal environment may be more sensitive to land-use transitions, rather than climate shifts, due to the strong control exerted by vegetation canopies on radiation transfer processes. The results also suggest that simple canopy adjustment algorithms may be effectively applied to spatially distributed snowcover simulations. More data is required to evaluate the accuracy of these methods for computing energy transfer within canopies having significantly different structures than the sites used in this study.
Graduation date: 1999
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Books on the topic "Plant-snow relationships"

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Kolumban, Hutter, and Decker Rand, eds. Papers from the International Symposium on Snow, Avalanches, and Impact of the Forest Cover, Innsbruck, Austria, 22-26 May 2000. Cambridge, U.K: International Glaciological Society, 2001.

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Norio, Iriki, Hokkaido National Agricultual Experiment Station., and Lethridge Research Centre, eds. Low temperature plant microbe interactions under snow. Hitsujigaoka, Japan: Hokkaido National Agricultural Experiment Station, 2001.

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Żarnowiecki, Grzegorz. Związki pomiędzy pokrywą śnieżną a roślinnością na przykładzie grądów Białowieskiego Parku Narodowego. Warszawa: PAN IGiPZ, 2008.

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Megahan, Walter F. A field guide for predicting snow damage to ponderosa pine plantations. Ogden, Utah]: U.S. Dept. of Agriculture, Forest Service, Intermountain Research Station, 1988.

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Coffin, Bengt A. Effects of forest cover on volume of water delivery to soil during rain-on-snow: Final report for Project SH-1 (Rain-on-snow field study). Seattle, WA: The Committee, 1992.

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Link, Timothy E. Seasonal snowcover dynamics beneath boreal forest canopies. 1998.

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Book chapters on the topic "Plant-snow relationships"

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Ali, Sareen, Margherita Paola Poto, and Emily Margaret Murray. "Arctic Vulnerability: Examining Biosecurity Risks Amidst Climate Change." In Emotional and Ecological Literacy for a More Sustainable Society, 157–69. Cham: Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-56772-8_8.

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AbstractBuilding on the objectives of a working paper, this chapter explores the intricate relationship between the Arctic Circle, climate change, and One Health. The Arctic is exceptionally susceptible to climate change, warming three times faster than the global average, leading to increased melting of snow, ice sheets, and permafrost. These changes heighten the vulnerability of flora, fauna, and Indigenous communities that thrive in this ecosystem. Additionally, thawing permafrost releases numerous toxins and revives dormant microorganisms, increasing biosecurity risks to human, animal, and plant health. Urgent enhancement of health surveillance is essential to identify and contain potential zoonotic disease outbreaks promptly. Informed by the One Health approach which emphasises the interconnection of environmental, animal, and human well-being, this working paper aims to enrich existing literature by systems mapping diverse One Health surveillance systems in this region. The overarching goal is to improve public health outcomes in the Arctic Circle by fostering transdisciplinary collaborations and addressing challenges associated with implementing the One Health framework in this vast and unique landscape. Aligned with the United Nations 2030 Agenda for Sustainable Development, emphasising transformative actions for planet protection, this paper advocates for the successful integration of the One Health framework to improve the holistic health of the ecosystem. In doing so, it supports ecological education and contributes to the overall goal of safeguarding the planet.
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Walker, Marilyn D., and Donald A. Walker. "The Vegetation: Hierarchical Species-Environment Relationships." In Structure and Function of an Alpine Ecosystem. Oxford University Press, 2001. http://dx.doi.org/10.1093/oso/9780195117288.003.0012.

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The vegetation of Niwot Ridge has a rich history of study, beginning with phytosociological studies directly on the Ridge and in the surrounding mountains and incorporating more experimental and dynamic approaches in later years. This chapter provides an overview of the spatial patterns of Niwot Ridge plants and plant communities relative to the primary controlling environmental gradients at scales from the individual to the landscape. The spatial patterns of vegetation at all scales are dominated by physical forces, particularly the interaction of wind, snow, and topography. The controls of biotic factors on the distribution and abundance of plant species on Niwot Ridge have received considerably less attention than have physical factors, but recent studies have revealed the importance of competition and certain mutualisms in structuring community composition. Community research on Niwot Ridge has been organized around a hierarchy of spatial scales, from the plot to the region. Plot-based studies have focused on physiological and ecological dynamics of specific species and communities, and more spatially extensive studies have provided a hierarchical framework for the plot studies. In this chapter, we first present an overview of the broader patterns in the vegetation, followed by descriptions of the communities, and then the specifics of physical and biotic controls on species and plant growth that drive the community patterns. The landscape-scale patterns in the Niwot vegetation are driven by a complex elevation gradient, which is a combination of temperature and snow regime, with wind modifying and interacting with temperature and snow at all points along the gradient (chapter 2). Certainly the most critical boundary in the system is the upper tree limit, which defines the alpine system and which lies roughly between 3400 and 3600 m elevation on Niwot Ridge. Billings (1988) provided a climatic-floristic-physiographic review of major North American alpine systems that helps to place Niwot Ridge into a larger perspective. Climatically, Niwot is intermediate between the dry Sierras, which have greater precipitation but almost none of it falling during the summer, and the wetter northern Appalachians (Mt. Washington), which have fairly even annual precipitation and no drought.
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Conference papers on the topic "Plant-snow relationships"

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Amikishieva, R. A., V. F. Raputa, and A. A. Lezhenin. "Ground and satellite monitoring of atmospheric pollution processes in urban areas." In Spatial Data Processing for Monitoring of Natural and Anthropogenic Processes 2021. Crossref, 2021. http://dx.doi.org/10.25743/sdm.2021.12.66.046.

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The results of the analysis of atmospheric pollution processes in the vicinity of the Chernorechensky cement plant and the Iskitim city were presented. Snow cover samples and high-resolution satellite images were used as research materials. The reconstruction of the fields of impurity concentration was carried out on the basis of low-parameter models. Statistical relationships were identified between ground-based and satellite observations.
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