Seeing the tundra for the plants, on the eco-spiritual wholeness of arctic vegetation

2021 ◽  
pp. 003776862110436
Author(s):  
Sveta Yamin-Pasternak ◽  
Igor Pasternak

Drawing on ethnographic field research in Chukotka, Russia, this article explores ideas and practices connected with the Arctic tundra vegetation that speak to its place in Chukchi spirituality and cultural milieu. The ethnographic focus is on a Chukchi remembrance ceremony with other social contexts of human–plant interaction offered as comparative examples. Contributing novel insight for the considerations of sentient landscapes and ceremonial engagements with plants, the article turns to the Chukchi eco-spiritual relationships in the beyond-the-human world. It suggests that the vegetation cover is not merely an assemblage of fungi and plants, but an organismal membrane through which the tundra communicates and acts, while also facilitating integrations between the human and beyond-the-human worlds.

ARCTIC ◽  
2018 ◽  
Vol 71 (3) ◽  
Author(s):  
Rosemary A. Dwight ◽  
David M. Cairns

The Arctic tundra is undergoing many environmental changes in addition to increasing temperatures: these changes include permafrost degradation and increased shrubification. Disturbances related to infrastructure can also lead to similar environmental changes. The Trans-Alaska Pipeline System (TAPS) is an example of infrastructure that has made a major imprint on the Alaskan landscape. This paper assesses changes in shrub presence along the northernmost 255 km of the TAPS. We used historical satellite imagery from before construction of the TAPS in 1974 and contemporary satellite imagery from 2010 to 2016 to examine changes in shrub presence over time. We found a 51.8% increase in shrub presence adjacent to the pipeline compared to 2.6% in control areas. Additionally, shrub presence has increased significantly more in areas where the pipeline is buried, indicating that the disturbances linked to pipeline burial have likely created favorable conditions for shrub colonization. These results are important for predicting potential responses of tundra vegetation to disturbance, which will be crucial to forecasting the future of Arctic tundra vegetation.


1978 ◽  
Vol 5 (3) ◽  
pp. 171-182 ◽  
Author(s):  
Patrick J. Webber ◽  
Jack D. Ives

This paper makes a series of broad recommendations concerning the understanding of damage and recovery of tundra vegetation. It deals primarily with arctic vegetation and with principles rather than specific recommendations or instructions for restoration. Actual procedures for restoration or revegetation, although practised, are still in their experimental stages.Despite this lack of established methods in tundra vegetation restoration, much can be done to help offset some of the worst effects of the present surge of economic development that is occurring in certain sectors of the Arctic. First, a rational assessment of types and extent of damage that is likely to accrue from different kinds and degrees of impact should be attempted, based on existing experience and theory. This should be accompanied by similar assessments of degrees and rates of recovery.


2020 ◽  
Vol 12 (16) ◽  
pp. 2638
Author(s):  
Dedi Yang ◽  
Ran Meng ◽  
Bailey D. Morrison ◽  
Andrew McMahon ◽  
Wouter Hantson ◽  
...  

Changes in vegetation distribution, structure, and function can modify the canopy properties of terrestrial ecosystems, with potential consequences for regional and global climate feedbacks. In the Arctic, climate is warming twice as fast as compared to the global average (known as ‘Arctic amplification’), likely having stronger impacts on arctic tundra vegetation. In order to quantify these changes and assess their impacts on ecosystem structure and function, methods are needed to accurately characterize the canopy properties of tundra vegetation types. However, commonly used ground-based measurements are limited in spatial and temporal coverage, and differentiating low-lying tundra plant species is challenging with coarse-resolution satellite remote sensing. The collection and processing of multi-sensor data from unoccupied aerial systems (UASs) has the potential to fill the gap between ground-based and satellite observations. To address the critical need for such data in the Arctic, we developed a cost-effective multi-sensor UAS (the ‘Osprey’) using off-the-shelf instrumentation. The Osprey simultaneously produces high-resolution optical, thermal, and structural images, as well as collecting point-based hyperspectral measurements, over vegetation canopies. In this paper, we describe the setup and deployment of the Osprey system in the Arctic to a tundra study site located in the Seward Peninsula, Alaska. We present a case study demonstrating the processing and application of Osprey data products for characterizing the key biophysical properties of tundra vegetation canopies. In this study, plant functional types (PFTs) representative of arctic tundra ecosystems were mapped with an overall accuracy of 87.4%. The Osprey image products identified significant differences in canopy-scale greenness, canopy height, and surface temperature among PFTs, with deciduous low to tall shrubs having the lowest canopy temperatures while non-vascular lichens had the warmest. The analysis of our hyperspectral data showed that variation in the fractional cover of deciduous low to tall shrubs was effectively characterized by Osprey reflectance measurements across the range of visible to near-infrared wavelengths. Therefore, the development and deployment of the Osprey UAS, as a state-of-the-art methodology, has the potential to be widely used for characterizing tundra vegetation composition and canopy properties to improve our understanding of ecosystem dynamics in the Arctic, and to address scale issues between ground-based and airborne/satellite observations.


2021 ◽  
Author(s):  
Marta Magnani ◽  
Ilaria Baneschi ◽  
Mariasilvia Gaimberini ◽  
Antonello Provenzale

<p>Arctic regions are extreme environments where ecosystems are undergoing significant changes induced by the temperature rise, that is progressing about twice faster than in the rest of the world. In the high-Arctic, the Critical Zone (CZ) has a thin above-ground component, consisting of tundra vegetation, and a highly seasonal below-ground component, with varying extension and chemical-physical characteristics. The complexity of this system makes future projections of the Arctic CZ a challenging goal. In particular, it is still unclear whether the system will turn from a carbon sink to a carbon source. On the one hand, the uptake of carbon dioxide (CO<sub>2</sub>) by vegetation is expected to increase in future years owing to the widening growing season and the shift in community composition but, on the other, increasing soil temperatures are fostering carbon release by thawing permafrost and degradation of organic matter through heterotrophic respiration in deglaciated soils. In this work, we identified the main biotic and abiotic drivers of CO<sub>2 </sub>emissions (Ecosystem Respiration, ER), and CO<sub>2 </sub>uptake (Gross Primary Production, GPP), in the Arctic tundra biome. During summer 2019 we extensively measured CO<sub>2</sub> fluxes at the soil-vegetation-atmosphere interface, basic meteoclimatic variables and ecological descriptors at the Critical Zone Observatory of Bayelva river basin (CZO@Bayelva), Spitzbergen, in the Svalbard Archipelago (NO). Flux measurements were obtained by a portable accumulation chamber, allowing for the statistical analysis of fluxes variability at small scale. Together with flux measurements, we sampled soil temperature and humidity at the chamber base and local air temperature, pressure and humidity. In addition, the vegetation cover was obtained from digital RGB pictures of the sampled surfaces. By means of multi regression models, we related flux data to environmental parameters, vegetation cover extent and vegetation type, thus obtaining empirical data-driven models that describe the coupled dynamics of soil, vegetation, water and atmosphere that contribute to the present budgeting of the carbon cycle in the arctic CZ. This work may help in assessing the possible future evolution of high-Arctic environment under projected changes in vegetation community composition and abiotic parameters.</p>


2011 ◽  
pp. 98-102
Author(s):  
V. Yu. Neshataeva ◽  
V. Yu. Neshataev

Last year marked 100 years since the birth of geobotany, bright, talented, erudite scientist, one of the greatest connoisseurs of the vegetation of the Arctic — Vera D. Alexandrova.


2020 ◽  
pp. 75-99
Author(s):  
O. I. Sumina

One of the thermokarst relief forms is baidzharakh massif — the group of mounds separated by trenches formed as a result of the underground ice-wedge polygonal networks melting (Fig. 1). Study of baidzharakh vegetation took place on the northeast coast of the Taimyr Peninsula (the Pronchishcheva Bay area) and on the New Siberian Islands (the Kotelny Island) in 1973–1974 (Sumina, 1975, 1976, 1977a, b, 1979 et al.). The aim of this paper is to produce the classification of baidzharakh mound and trenches communities according to the Brown-Blanquet approach (Westhoff, Maarel, 1978) and to compare these data with the community types earlier established on domination principle (Sumina, 1975 et al.). The information obtained in the 1970s could be helpful in a comparative assessment of the thermokarst process dynamics over the past 4 decades, as well as for comparing these processes in other regions of the Arctic. Both studied areas are located in the northern part of the arctic tundra subzone. On the Taimyr Peninsula (and in particular in the Pronchishcheva Bay area) the plakor (zonal) communities belong to the ass. Salici polaris–Hylocomietum alaskani Matveyeva 1998. Our relevés of plakor tundra on the Kotelny Island demonstrate similarity with the zonal communities of the northeast coast of the Taimyr Peninsula (Table 2). Relevés of communities of thermokarst mounds were made within their boundaries, the size of ~ 30 m². In trenches sample plots of the same area had rectangular shape according to trench width. Relevés of plakor tundra were made on 5x6 m plots. There were marked: location in relief, moistening, stand physiognomy, nanorelief, the percent of open ground patches and degree of their overgrowing, total plant cover, that of vascular plants, mosses, and lichens (especially — crustose ons), and cover estimates for each species. The shape of thermokarst mounds depends on the stage of thermodenudation processes. Flat polygons about 0.5 m height with vegetation similar to the plakor tundra are formed at the beginning of ice melting (Fig. 3, a), after which the deformation of the mounds (from eroded flat polygon (Fig. 3, b) to eroded conical mound (Fig. 3, c). Such mounds of maximal height up to 5 m are located on the middle part of steep slopes, where thermodenudation is very active. The last stage of mound destruction is slightly convex mound with a lumpy surface and vegetation, typical to snowbed sites at slope foots (Fig. 3, d, and 5). Both on watersheds and on gentle slopes mounds are not completely destroyed; and on such elongated smooth-conical mounds dense meadow-like vegetation is developed (Fig. 6). On the Kotelny Island thermokarst mounds of all described shapes occur, while in the Pronchishcheva Bay area only flat polygons, eroded flat polygons, and elongated smooth-conical mounds are presented. Under the influence of thermodenudation the plakor (zonal) vegetation is being transformed that allows to consider the most of mound and trench communities as the variants of zonal association. On the base of 63 relevés, made in 14 baidzharakh massifs, 2 variants with 7 subvariants of the ass. Salici polaris–Hylocomietum alaskani Matveyeva 1998 were established, as well as 1 variant of the azonal ass. Poo arcticae– Dupontietum fisheri Matveyeva 1994, which combines the vegetation of wet trenches with dense herbmoss cover. A detailed description of each subvariant is done. All these syntaxa are compared with the types of mound and trenh communities established previously by the domination principle (Sumina, 1975, 1976, 1979 et al.) and with Brown-Blanquet’ syntaxa published by other authors. The Brown-Blanquet approach in compare with domination principle, clearly demonstrates the similarity between zonal and baidzharakh massifs vegetation. Diagnostic species of syntaxa of baidzharakh vegetation by other authors (Matveyeva, 1994; Zanokha, 1995; Kholod, 2007, 2014; Telyatnikov et al., 2017) differ from ours. On the one hand, this is due to the fact that all mentioned researchers worked in another areas, and on the other, with different hierarchial levels of syntaxa, which are subassociations (or vicariants) in cited works or variants and subvariants in the our. Communities of mounds as well as of trenches in different regions have unlike species composition, but similar apearance, which depends on the similarity of the life form composition and community pattern, stage of their transformation and environmental factors. This fact is a base to group communities by physiognomy in order to have an opportunity of comparative analysis of baidzharakh vegetation diversity in different regions of the Arctic. In total, 6 such groups for thermokarst mounds and trenches are proposed: “tundra-like” ― vegetation of flat polygonal mounds (or trenches) is similar to the plakor (zonal) communities; “eroded tundra-like” ― tundra-like vegetation is presented as fragments, open ground occupies the main part of flat polygonal mounds; “eroded mounds with nonassociated vegetation” ― eroded mounds of various shapes up to sharp conical with absent vegetation at the top and slopes, sparse pioneer vascular plants on a bare substrate and crustose lichens and chionophilous grasses at foots; “meadow-like” ― herb stands with a participation of tundra dwarf-shrubs, mosses, and lichens on elongated smooth-conical mounds and in moderately moist trenches; “communities in snowbeds” ― thin plant cover formed by small mosses, liverworts, crustose lichens, and sparse vascular plants in snowbed habitats on destroyed slightly convex mounds with a lumpy surface and in trenches; “communities of cotton grass” or others, depending on the dominant species ― in wet trenches where vegetation is similar to the arctic hypnum bogs with dominant hygrophyte graminoids as Eriophorum scheuchzeri, E. polystachion, Dupontia fischeri et al. This sheme according to physiognomic features of thermokarst mound and trench communities, as a simplier way to assess the current dynamic stage of the baidzharakh massifs, may be useful for monitoring the thermodenudation activity in different areas of the Arctic, particularly in connection with observed climate changes (ACIA, 2004) and a possible dramatic “cascade of their environmental consequences” (Fraser et al., 2018).


2007 ◽  
pp. 13-22 ◽  
Author(s):  
T. K. Yurkovskaya

I have focused only on some features of structure in the taiga vegetation cover. In conclusion I would like to tell some words about the causes of complicated space structure of the taiga and tundra vegetation cover. The causes of latitudinal differentiation are climatic undoubtedly, but heterogeneity of vegetation cover within the limits of tundra and taiga subzones is accounted for different factors. In tundra abiogenic factors prevail, first of all the permafrost processes. That is the reason why tundra vegetation cover is so sensible to any disturbances and so hard regenerates after various transformations. In taiga the space structure is mostly the result of self-regulation and self- restoration of biota. The abiotic factors, certainly, play significant role, but they recede to the second plan. So we showed that in the north and middle taiga the structure of vegetation cover, during the Holocene up to present time, is determined in many respects by the increasing role of mires. Suffice it to look at the map of distribution of mires in order to estimate their role in vegetation cover of the easteuropean taiga (Yurkovskaya, 1980). So, the increase of mire area on the Russian Plain in m2/year per 1000 ha varies between 200 and 700, the average increas is ca 300—400 m2/year (Elina et all., 2000). The mires favour peniplenization and unite the separate areas of forest communities into the whole by means of forming the buffer paludificated territories (various hydrophilous variants of forest communities). But if mires, at all their stability, after destroying practically don't restore, the forests even after continuous cuttings restore their structure and composition through the series of successional stages unless an ecotope is damaged completely. Hence the space structure of taiga is the result, first of all, self development and self regulation of its vegetation cover. But, as it is known, at present time the process of destruction of natural biota has gone too far that the question arises not only about supporting its state and structure but also about the survival of the mankind itself. In this regard the vegetation map of Europe is the invaluable basis, which gives the starting point for all conservational, ecological and economical measures. But it is important to learn reading and using the map. And this is one of our actual goals.


The Holocene ◽  
2020 ◽  
Vol 30 (7) ◽  
pp. 1091-1096 ◽  
Author(s):  
Eleanor MB Pereboom ◽  
Richard S Vachula ◽  
Yongsong Huang ◽  
James Russell

Wildfires in the Arctic tundra have become increasingly frequent in recent years and have important implications for tundra ecosystems and for the global carbon cycle. Lake sediment–based records are the primary means of understanding the climatic influences on tundra fires. Sedimentary charcoal has been used to infer climate-driven changes in tundra fire frequency but thus far cannot differentiate characteristics of the vegetation burnt during fire events. In forested ecosystems, charcoal morphologies have been used to distinguish changes in fuel type consumed by wildfires of the past; however, no such approach has been developed for tundra ecosystems. We show experimentally that charcoal morphologies can be used to differentiate graminoid (mean = 6.77; standard deviation (SD) = 0.23) and shrub (mean = 2.42; SD = 1.86) biomass burnt in tundra fire records. This study is a first step needed to construct more nuanced tundra wildfire histories and to understand how wildfire will impact the region as vegetation and fire change in the future.


2012 ◽  
Vol 9 (4) ◽  
pp. 4543-4594 ◽  
Author(s):  
A. D. McGuire ◽  
T. R. Christensen ◽  
D. Hayes ◽  
A. Heroult ◽  
E. Euskirchen ◽  
...  

Abstract. Although arctic tundra has been estimated to cover only 8% of the global land surface, the large and potentially labile carbon pools currently stored in tundra soils have the potential for large emissions of carbon (C) under a warming climate. These emissions as radiatively active greenhouse gases in the form of both CO2 and CH4 could amplify global warming. Given the potential sensitivity of these ecosystems to climate change and the expectation that the Arctic will experience appreciable warming over the next century, it is important to assess whether responses of C exchange in tundra regions are likely to enhance or mitigate warming. In this study we compared analyses of C exchange of Arctic tundra between 1990–1999 and 2000–2006 among observations, regional and global applications of process-based terrestrial biosphere models, and atmospheric inversion models. Syntheses of the compilation of flux observations and of inversion model results indicate that the annual exchange of CO2 between arctic tundra and the atmosphere has large uncertainties that cannot be distinguished from neutral balance. The mean estimate from an ensemble of process-based model simulations suggests that arctic tundra acted as a sink for atmospheric CO2 in recent decades, but based on the uncertainty estimates it cannot be determined with confidence whether these ecosystems represent a weak or a strong sink. Tundra was 0.6 °C warmer in the 2000s compared to the 1990s. The central estimates of the observations, process-based models, and inversion models each identify stronger sinks in the 2000s compared with the 1990s. Similarly, the observations and the applications of regional process-based models suggest that CH4 emissions from arctic tundra have increased from the 1990s to 2000s. Based on our analyses of the estimates from observations, process-based models, and inversion models, we estimate that arctic tundra was a sink for atmospheric CO2 of 110 Tg C yr−1 (uncertainty between a sink of 291 Tg C yr−1 and a source of 80 Tg C yr−1) and a source of CH4 to the atmosphere of 19 Tg C yr−1 (uncertainty between sources of 8 and 29 Tg C yr−1). The suite of analyses conducted in this study indicate that it is clearly important to reduce uncertainties in the observations, process-based models, and inversions in order to better understand the degree to which Arctic tundra is influencing atmospheric CO2 and CH4 concentrations. The reduction of uncertainties can be accomplished through (1) the strategic placement of more CO2 and CH4 monitoring stations to reduce uncertainties in inversions, (2) improved observation networks of ground-based measurements of CO2 and CH4 exchange to understand exchange in response to disturbance and across gradients of hydrological variability, and (3) the effective transfer of information from enhanced observation networks into process-based models to improve the simulation of CO2 and CH4 exchange from arctic tundra to the atmosphere.


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