Bibliografie tematiche / Vegetation dynamics

Letteratura scientifica selezionata sul tema "Vegetation dynamics"

Autore: Grafiati
Pubblicato: 4 giugno 2021
Ultima modifica: 29 luglio 2024

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Articoli di riviste sul tema "Vegetation dynamics"

1

VAN DER MAAREL, EDDY. "Vegetation dynamics and dynamic vegetation science*". Acta Botanica Neerlandica 45, n. 4 (dicembre 1996): 421–42. http://dx.doi.org/10.1111/j.1438-8677.1996.tb00804.x.

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Marani, Marco, Tommaso Zillio, Enrica Belluco, Sonia Silvestri e Amos Maritan. "Non-Neutral Vegetation Dynamics". PLoS ONE 1, n. 1 (20 dicembre 2006): e78. http://dx.doi.org/10.1371/journal.pone.0000078.

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He, Dong, Xianglin Huang, Qingjiu Tian e Zhichao Zhang. "Changes in Vegetation Growth Dynamics and Relations with Climate in Inner Mongolia under More Strict Multiple Pre-Processing (2000–2018)". Sustainability 12, n. 6 (24 marzo 2020): 2534. http://dx.doi.org/10.3390/su12062534.

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Inner Mongolia Autonomous Region (IMAR) is related to China’s ecological security and the improvement of ecological environment; thus, the vegetation’s response to climate changes in IMAR has become an important part of current global change research. As existing achievements have certain deficiencies in data preprocessing, technical methods and research scales, we correct the incomplete data pre-processing and low verification accuracy; use grey relational analysis (GRA) to study the response of Enhanced Vegetation Index (EVI) in the growing season to climate factors on the pixel scale; explore the factors that affect the response speed and response degree from multiple perspectives, including vegetation type, longitude, latitude, elevation and local climate type; and solve the problems of excessive ignorance of details and severe distortion of response results due to using average values of the wide area or statistical data. The results show the following. 1. The vegetation status of IMAR in 2000-2018 was mainly improved. The change rates were 0.23/10° N and 0.25/10° E, respectively. 2. The response speed and response degree of forests to climatic factors are higher than that of grasslands. 3. The lag time of response for vegetation growth to precipitation, air temperature and relative humidity in IMAR is mainly within 2 months. The speed of vegetation‘s response to climate change in IMAR is mainly affected by four major factors: vegetation type, altitude gradient, local climate type and latitude. 4. Vegetation types and altitude gradients are the two most important factors affecting the degree of vegetation’s response to climate factors. It is worth noting that when the altitude rises to 2500 m, the dominant factor for the vegetation growth changes from precipitation to air temperature in terms of hydrothermal combination in the environment. Vegetation growth in areas with relatively high altitudes is more dependent on air temperature.
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Okin, Gregory S. "The contribution of brown vegetation to vegetation dynamics". Ecology 91, n. 3 (marzo 2010): 743–55. http://dx.doi.org/10.1890/09-0302.1.

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TELESCA, LUCIANO, ROSA LASAPONARA e ANTONIO LANORTE. "DISCRIMINATING FLUCTUATION DYNAMICS IN BURNED AND UNBURNED VEGETATIONAL COVERS". Fluctuation and Noise Letters 05, n. 04 (dicembre 2005): L479—L487. http://dx.doi.org/10.1142/s0219477505002914.

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Fluctuation dynamics of time series of satellite SPOT-VEGETATION Normalized Difference of Vegetation Index (NDVI) data from 1998 to 2003 were analyzed to discriminate fire-induced variability in the vegetational dynamics of shrub-land in southern Italy. We used detrended fluctuation analysis (DFA), which permits the detection of persistent properties in nonstationary signal fluctuations. We analyzed two shrub-land covers, one in "healthy conditions" (fire-unaffected) and the other in "ill conditions" (fire-affected). Our findings suggest that fires play an important role in the temporal evolution of the shrub-land, increasing the persistence of the vegetation dynamics.
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Seo, Hocheol, e Yeonjoo Kim. "Interactive impacts of fire and vegetation dynamics on global carbon and water budget using Community Land Model version 4.5". Geoscientific Model Development 12, n. 1 (29 gennaio 2019): 457–72. http://dx.doi.org/10.5194/gmd-12-457-2019.

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Abstract. Fire plays an important role in terrestrial ecosystems. The burning of biomass affects carbon and water fluxes and vegetation distribution. To understand the effect of interactive processes of fire and ecological succession on surface carbon and water fluxes, this study employed the Community Land Model version 4.5 to conduct a series of experiments that included and excluded fire and dynamic vegetation processes. Results of the experiments that excluded the vegetation dynamics showed a global increase in net ecosystem production (NEP) in post-fire regions, whereas the inclusion of vegetation dynamics revealed a fire-induced decrease in NEP in some regions, which was depicted when the dominant vegetation type was changed from trees to grass. Carbon emissions from fires are enhanced by reduction in NEP when vegetation dynamics are considered; however, this effect is somewhat mitigated by the increase in NEP when vegetation dynamics are not considered. Fire-induced changes in vegetation modify the soil moisture profile because grasslands are more dominant in post-fire regions. This results in less moisture within the top soil layer than that in unburned regions, even though transpiration is reduced overall. These findings are different from those of previous fire model evaluations that ignored vegetation dynamics and thus highlight the importance of interactive processes between fires and vegetation dynamics in evaluating recent model developments.
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Арефьев, С. П., e S. P. Arefiev. "Model and Analysis of Vegetative Cover Climathogenic Dynamics on the Example of the Yamal Peninsula Data". Mathematical Biology and Bioinformatics 12, n. 2 (11 agosto 2017): 256–72. http://dx.doi.org/10.17537/2017.12.256.

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The rule of geoinformation design of vegetation cover dynamics model due to temperature variations is considered. The construction is based on the geobotanical map of vegetation formations that determines spatial analysis detail level, and on the table of the species quantity in the surveyed area. According to the postulated assumptions, with the warming the vegetation cover state vector of the northern zone will acquire values corresponding to the vegetative image of the formation of the conjugated southern zone if they belong to the same landscape-like group. The computational analysis results of the tundra vegetation dynamics are presented for the dominant plant species of the Yamal peninsula northern subarctic zone.
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Pott, Richard. "Palaeoclimate and vegetation - long-term vegetation dynamics in central Europe with particular reference to beech". Phytocoenologia 30, n. 3-4 (24 novembre 2000): 285–333. http://dx.doi.org/10.1127/phyto/30/2000/285.

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Thevs, Niels, Stefan Zerbe, Jan Peper e Michael Succow. "Vegetation and vegetation dynamics in the Tarim River floodplain of continental-arid Xinjiang, NW China". Phytocoenologia 38, n. 1-2 (25 agosto 2008): 65–84. http://dx.doi.org/10.1127/0340-269x/2008/0038-0065.

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Pastor, John. "Vegetation Dynamics and Climate Change". Ecology 75, n. 7 (ottobre 1994): 2145–46. http://dx.doi.org/10.2307/1941620.

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Tesi sul tema "Vegetation dynamics"

1

Street, Lorna Elizabeth. "Carbon dynamics in Arctic vegetation". Thesis, University of Edinburgh, 2011. http://hdl.handle.net/1842/5651.

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Rapid climate change in Arctic regions is of concern due to important feedbacks between the Arctic land surface and the global climate system. A large amount of organic carbon (C) is currently stored in Arctic soils; if decomposition is stimulated under warmer conditions additional release of CO2 could result in an accelerating feedback on global climate. The strength and direction of Arctic C cycle - climate feedbacks will depend on the growth response of vegetation; if plant growth increases some or all of the extra CO2 emissions may be offset. Currently the Arctic is thought to be a small net sink for CO2, the expected balance of terrestrial C sinks and sources in the future is unknown. In this thesis I explore some of the critical unknowns in current understanding of C cycle dynamics in Arctic vegetation. Quantifying gross primary productivity (GPP) over regional scales is complicated by large spatial heterogeneity in plant functional type (PFT) in Arctic vegetation. I use data from five Arctic sites to test the generality of a relationship between leaf area index (LAI) and canopy total foliar nitrogen (TFN). LAI and TFN are key drivers of GPP and are tightly constrained across PFTs in Low Arctic Alaska and Sweden, therefore greatly simplifying the task of up-scaling. I use data from Greenland, Barrow and Svalbard to asses the generality of the LAI-TFN relationship in predicting GPP at higher Arctic latitudes. Arctic ecosystems are unique among biomes in the large relative contribution of bryophytes (mosses, liverworts and hornworts) to plant biomass. The contribution of bryophytes to ecosystem function has been relatively understudied and they are poorly represented in terrestrial C models. I use ground based measurements in Northern Sweden to fill an existing data gap by quantifying CO2 fluxes from bryophytes patches in early spring and summer, and develop a simple model of bryophyte GPP. Using the model I compare bryophyte GPP to that of vascular plants before, during and after the summer growing season, finding that productive bryophyte patches can contribute up to 90 % of modelled annual GPP for typical vascular plant communities at the same site, and that the relative magnitude of bryophyte GPP is greatest in spring whilst the vascular plant canopy is still developing. Understanding how GPP relates to plant growth is important in relating remotely sensed increases in Arctic ‘greenness’ to changes in plant C stocks. I use a 13C pulselabelling techniques to follow the fate of recently fixed C in mixed vascular and bryophyte vegetation, with a focus on quantifying the contribution of bryophytes to ecosystem carbon use efficiency (CUE). I show that bryophytes contribute significantly to GPP in mixed vegetation, and act to increase ecosystem CUE. I highlight the importance of including bryophytes, which do not have roots, in aboveground: belowground partitioning schemes in C models. To further explore C turnover in bryophytes, I use the results of a second 13C labelling experiment to develop a model of C turnover in two contrasting Arctic mosses (Polytrichum piliferum and Sphagnum fuscum). I find significant differences in C turnover between Polytrichum piliferum which respires or translocates about 80 % of GPP, while Sphagnum fuscum respires 60 %. This analysis is the first to explicitly model differences in C partitioning between Arctic bryophyte species. Finally, I discuss the implications of each chapter for our understanding of Arctic C dynamics, and suggest areas for further research.
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Sadler, Rohan. "Image-based modelling of pattern dynamics in a semiarid grassland of the Pilbara, Australia /". Connect to this title, 2006. http://theses.library.uwa.edu.au/adt-WU2007.0155.

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McIntosh, Brian S. "Rule-based modelling of vegetation dynamics". Thesis, University of Edinburgh, 2002. http://hdl.handle.net/1842/12619.

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The corpus of available vegetation knowledge is characterised by its fragmented form and by the way in which relationships between different ecological quantities tend to be expressed non-quantitatively. Much of the corpus is only held informally and composed of deterministic factual or conditional statements. Despite its form, this thesis demonstrates that available ecological knowledge can be usefully employed for predictive modelling of vegetation dynamics under different conditions. The thesis concentrates on modelling Mediterranean vegetation dynamics. Using a mixture of concepts and techniques from deterministic state transition and functional attributes modelling. Qualitative Reasoning and knowledge-based systems, three ontological distinct modelling systems are developed to demonstrate the utility of available knowledge for modelling vegetation dynamics. All three systems use declarative, rule-based approaches based on first-order logic and are composed of a set of representational constructs along with a separate system for reasoning with these constructs to make predictions. A method for reasoning about change in non-quantitative model variables is developed based upon time and direction of change. This ‘temporal reasoning system’ provides a solution to the state variable problem and may offer a general way of modelling with non-quantitative knowledge. To illustrate, a different model of Mediterranean vegetation dynamics is developed and run under different conditions for each system. The capabilities and possible problems of each system in terms of ecological validity, knowledge representation and reasoning are discussed. The general utility of rule-based approaches to modelling vegetation dynamics are also discussed along with the implications of the modelling systems developed for the activities of decision-support and ecological theory development.
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Anand, Madhur. "Towards a unifying theory of vegetation dynamics". Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1997. http://www.collectionscanada.ca/obj/s4/f2/dsk2/tape16/PQDD_0002/NQ28471.pdf.

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Garcia-Carreras, Luis. "Atmospheric dynamics and convection over heterogeneous vegetation". Thesis, University of Leeds, 2011. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.535100.

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Mandzy, Herring Luba T. "Vegetation dynamics and emvironmental change in Mongolia". Thesis, University of Oxford, 2008. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.496582.

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Pollock, Meg L. "Vegetation dynamics in seasonally grazed upland systems". Thesis, University of Edinburgh, 2003. http://hdl.handle.net/1842/856.

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This thesis addresses the effects of seasonality of grazing on vegetation dynamics. Background to the thesis is provided by the Hill Sheep and Native Woodland (HSNW) project, a system-scale experiment with the long-term aim of integrating upland sheep husbandry within native woodlands. Sheep husbandry in the HSNW project has involved a change from year-round grazing to off-wintering (grazing on upland areas from April to October only). The potential impact of this change on individual plants, plant communities and the landscape is evaluated. A cutting experiment was run to simulate herbivory in different seasons at the level of the individual plant. In grassland communities, where most species are wintergreen graminoids, interaction between species and seasons in response to cutting was minimal. In mire communities, where species with a range of life-forms and phenologies are present, there was considerable interaction between species and lifeform in response to cutting in different seasons. Non-wintergreen graminoid species recovered more rapidly than wintergreen graminoid species following cutting in spring, but the reverse occurred following cutting in autumn. Dwarf shrubs and forbs were slow to recover from cutting in all seasons in both mires and grasslands. The impacts of three grazing treatments in the HSNW project (unchanged year-round grazing, change to off-wintering, and change to zero grazing) on sward structure and species abundance were monitored. Sward height increased in the ungrazed treatment, but changes in species relative abundance were minimal in the short time-scale of the study. Literature suggests that change in plant species abundance in grazed systems is driven by herbivore selection preference for (or avoidance of) plant species and plant responses to grazing. Experts were interviewed to generate a set of seasonal data on herbivore selection preferences and plant responses, and levels of agreement between experts were assessed. Information was also collated on plant response to herbivory from the cutting experiment (above) and plant trait information from the literature. A qualitative model was developed to predict change in species abundance. It was used to: i) explore patterns of interaction between herbivore preferences and plant responses to grazing; ii) compare short-term predictions of change in abundance made using each of the information sources available; iii) make longer-term predictions using plant trait information. The short-term predictions were tested against the small changes in species abundance that had occurred in the HSNW project. Predictions made with the plant trait information were more accurate than those made with other information. A study of levels of browsing on regeneration was carried out in mature sheep-grazed birch woodlands. It was rare to find regeneration at sites grazed only by sheep, but tree regeneration did occur in the presence of sheep. Seasonal variation in browsing was found to be more related to the presence of cattle than to the presence of sheep. Finally, the findings are collated to make management recommendations for the HSNW project and other systems where seasonal grazing regimes could be beneficial.
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Cohen, Yoav. "A comparison between vegetation indices for measuring vegetation dynamics resulting from climate variations /". [Beer Sheva] : Ben Gurion University of the Negev, 2008. http://aranne5.lib.ad.bgu.ac.il/others/CohenYoav.pdf.

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Cutler, Nick. "High-latitude vegetation dynamics : 850 years of vegetation development on Mt Hekla, Iceland". Thesis, University of Edinburgh, 2008. http://hdl.handle.net/1842/2485.

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The overall aim of this thesis is to investigate long-term (multi-century) vegetation development in a high-latitude setting, with a particular emphasis on the emergence and persistence of spatial structure in plant communities. The spatial distribution of plants within a community influences vegetation dynamics and the functioning of terrestrial ecosystems. Knowledge of the spatiotemporal dynamics of vegetation is therefore crucial to understanding ecosystem response to disturbance, and to successful ecosystem management. Studies of spatiotemporal dynamics from high-latitude settings are rare, despite these regions being among the most sensitive to warming and subject to ongoing environmental change. The study was based on a primary succession on Mt Hekla in south-central Iceland. The chronosequence approach was used to infer 850 years of vegetation development from a suite of 14 lava flows (five of which had been disturbed by the deposition of volcanic tephra). The thesis is organised around four main research themes: 1) Trajectories of development- How do the global (i.e. non-spatial) properties of a community (e.g. species diversity) change with terrain age in a primary succession? Plant species frequency data from 12 transect surveys (each comprising 400 contiguous 10 cm x 10 cm quadrats) were used to test the predictions of classical models of primary succession; 2) Initial colonisation- How do plants first establish on newly-created terrain? Photographic surveys and point-pattern analysis were used to assess the processes by which pioneer species colonised ‘safe sites’ on lava surfaces six and fifteen years old; 3) Spatial scale and structure- How and why does the spatial structure of vegetation vary over long timescales? Vegetation and soil data from transect surveys (item 1, above) were analysed using a variety of spatial statistics, in order to test three models of spatiotemporal dynamics; 4) Temporal changes in environmental gradients- To what extent does biotic reaction feed-back into the small- (metre-) scale distribution of plants? Randomised sampling of vegetation on 42 sites was combined with continuous microclimatic monitoring to assess the changing steepness of environmental gradients, and the impact this process had on vegetation development. The analyses revealed a robust, multi-century trajectory of vegetation development on undisturbed sites. The development of vegetation on newly-emplaced flows was rapid, as colonists randomly exploited small- (millimetre) scale surface irregularities in the lava. A thick (up to 20 cm), spatially homogeneous ‘carpet’ of moss formed within 50 years of flow emplacement. Thereafter, the vegetation became progressively more structured with increasing terrain age, as patches of vegetation formed and expanded. On the oldest sites, differentiation of the vegetation according to metre-scale variations in elevation was apparent. Overall, the results emphasise the limitations of classical models of succession in high-latitude habitats and suggest widespread applicability for the nucleation model of primary succession. The study also suggests that the spatiotemporal response of vegetation to environmental gradients is mediated by short-range positive feedback. These findings have implications for modelling vegetation development on other primary substrates (e.g. glacial forelands) and the response of spatially patchy, high-latitude vegetation to future climate change.
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Arain, Muhammad Altaf. "Spatial aggregation of vegetation parameters in a coupled land surface-atmosphere model". Thesis, The University of Arizona, 1994. http://etd.library.arizona.edu/etd/GetFileServlet?file=file:///data1/pdf/etd/azu_etd_hy0049_m_sip1_w.pdf&type=application/pdf.

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Libri sul tema "Vegetation dynamics"

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Bachelet, Dominique, e David Turner, a cura di. Global Vegetation Dynamics. Hoboken, NJ: John Wiley & Sons, Inc, 2015. http://dx.doi.org/10.1002/9781119011705.

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Gunin, Peter D., Elizabeth A. Vostokova, Nadezhda I. Dorofeyuk, Pavel E. Tarasov e Clanton C. Black, a cura di. Vegetation Dynamics of Mongolia. Dordrecht: Springer Netherlands, 1999. http://dx.doi.org/10.1007/978-94-015-9143-0.

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1943-, Solomon Allen M., e Shugart H. H, a cura di. Vegetation dynamics & global change. New York: Chapman & Hall, 1993.

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Dmitrievich, Gunin Petr, a cura di. Vegetation dynamics of Mongolia. Dordrecht: Kluwer Academic Publishers, 1999.

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J, Cooper David. Mountain wetland vegetation dynamics. S.l: s.n, 1988.

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Solomon, Allen M., e Herman H. Shugart, a cura di. Vegetation Dynamics & Global Change. Boston, MA: Springer US, 1993. http://dx.doi.org/10.1007/978-1-4615-2816-6.

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Byler, James W. Development of vegetation dynamics pathways. Place of publication not identified]: [U.S. Forest Service], 1996.

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International Institute for Aerospace Survey and Earth Sciences. e Netherlands Institute of Ecology, a cura di. Dynamics of salt marsh vegetation. Enschede, The Netherlands: ITC, 1992.

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Burrows, C. J. Processes of vegetation change. London: Unwin Hyman, 1990.

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1941-, Miles John, Schmidt W e Maarel E. van der, a cura di. Temporal and spatial patterns of vegetation dynamics. Dordrecht: Kluwer Academic, 1989.

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Capitoli di libri sul tema "Vegetation dynamics"

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Pickett, Steward T. A., Mary L. Cadenasso e Scott J. Meiners. "Vegetation Dynamics". In Vegetation Ecology, 107–40. Oxford, UK: John Wiley & Sons, Ltd, 2013. http://dx.doi.org/10.1002/9781118452592.ch4.

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Gilbert, O. L. "Vegetation Dynamics". In The Ecology of Urban Habitats, 55–67. Dordrecht: Springer Netherlands, 1989. http://dx.doi.org/10.1007/978-94-009-0821-5_5.

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Gilbert, O. L. "Vegetation Dynamics". In The Ecology of Urban Habitats, 55–67. Dordrecht: Springer Netherlands, 1991. http://dx.doi.org/10.1007/978-94-011-3068-4_5.

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Wang, Zhao-Yin, Joseph H. W. Lee e Charles S. Melching. "Vegetation-Erosion Dynamics". In River Dynamics and Integrated River Management, 53–122. Berlin, Heidelberg: Springer Berlin Heidelberg, 2015. http://dx.doi.org/10.1007/978-3-642-25652-3_3.

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Zonneveld, I. S. "Monitoring Vegetation and Surveying Dynamics". In Vegetation mapping, 331–34. Dordrecht: Springer Netherlands, 1988. http://dx.doi.org/10.1007/978-94-009-3083-4_29.

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Bradshaw, Richard H. W. "Spatially-precise studies of forest dynamics". In Vegetation history, 725–51. Dordrecht: Springer Netherlands, 1988. http://dx.doi.org/10.1007/978-94-009-3081-0_20.

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Bachelet, Dominique. "History and General Description of the Dynamic Global Vegetation Model MC1". In Global Vegetation Dynamics, 1–16. Hoboken, NJ: John Wiley & Sons, Inc, 2015. http://dx.doi.org/10.1002/9781119011705.ch1.

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Halofsky, Joshua S., Jessica E. Halofsky, David R. Conklin, Dominique Bachelet, Miles A. Hemstrom, Becky K. Kerns e Anita T. Morzillo. "Using a Dynamic Global Vegetation Model to Help Inform Management Decisions". In Global Vegetation Dynamics, 151–70. Hoboken, NJ: John Wiley & Sons, Inc, 2015. http://dx.doi.org/10.1002/9781119011705.ch10.

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Bachelet, Dominique. "Bringing MC1 Model Results to Data Basin to Facilitate Access, Distribution, and Interpretation". In Global Vegetation Dynamics, 171–76. Hoboken, NJ: John Wiley & Sons, Inc, 2015. http://dx.doi.org/10.1002/9781119011705.ch11.

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Lenihan, James M., e Dominique Bachelet. "Historical Climate and Suppression Effects on Simulated Fire and Carbon Dynamics in the Conterminous United States". In Global Vegetation Dynamics, 17–30. Hoboken, NJ: John Wiley & Sons, Inc, 2015. http://dx.doi.org/10.1002/9781119011705.ch2.

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Atti di convegni sul tema "Vegetation dynamics"

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Gavrilyeva, L. D. "Dynamics of species composition of alas vegetation during demutation". In Problems of studying the vegetation cover of Siberia. TSU Press, 2020. http://dx.doi.org/10.17223/978-5-94621-927-3-2020-9.

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Piles, M., G. Camps-Valls, D. Chaparro, D. Entekhabi, A. G. Konings e T. Jagdhuber. "Remote sensing of vegetation dynamics in agro-ecosystems using smap vegetation optical depth and optical vegetation indices". In 2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS). IEEE, 2017. http://dx.doi.org/10.1109/igarss.2017.8127964.

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Golyukov, A. S., A. S. Shushpanov e I. A. Petrov. "Spatial-temporal dynamics of tree line in the Southern Siberia Mountains". In Problems of studying the vegetation cover of Siberia. TSU Press, 2020. http://dx.doi.org/10.17223/978-5-94621-927-3-2020-11.

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In recent decades, the tree line has been moving along the entire territory of the boreal forests due to climatic changes. In this work, the dynamics of the tree line and the area of closed stands in the Southern Siberian Mountains are analyzed. At all objects of the study, the advancement of the tree line is observed with an average advance rate of ~ 0.6 – 0.9 m per year. A significant relationship was found between the advancement of the tree line and the air temperature.
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MIYAMOTO, HITOSHI, e KENGO KATAOKA. "COMPARISON OF VEGETATION OVERGROWTH TENDENCY IN SEVERAL RIVER CHANNELS USING A VEGETATION DYNAMICS MODEL". In 38th IAHR World Congress. The International Association for Hydro-Environment Engineering and Research (IAHR), 2019. http://dx.doi.org/10.3850/38wc092019-1233.

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Gupta, Aditya, Manasa R. Behera e Amin Heidarpour. "Numerical Modeling of Wave Damping Induced by Emerged Moving Vegetation". In ASME 2020 39th International Conference on Ocean, Offshore and Arctic Engineering. American Society of Mechanical Engineers, 2020. http://dx.doi.org/10.1115/omae2020-18588.

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Abstract The unprecedented risk of global warming has put the coastal population at greater risk from coastal hazards due to an increase in sea level and other storm-related activities. Coastal vegetations are one of the soft solutions that can be implemented for wave mitigation. This study aims to investigate the wave damping effect of a regular wave by emergent moving coastal vegetation. Smoothed Particle Hydrodynamics (SPH), a particle-based method is used for generating fluid particles and Differential Variational Inequality (DVI) is coupled with SPH to deal with the dynamics of moving vegetation. The 3-D numerical model is simulated using an open-source tool DualSPHysics 4.4. The model is tested for regular wave height (H) of 0.08 m, wave period (T) of 2 seconds in a water depth (d) of 0.40 and 0.45 m for two relative vegetation height (h/d) of 1.25 and 1.11 respectively. The results are validated with the experimental study for the rigid vegetation and then the model is extended for moving vegetation. The results indicate that the wave damping is overestimated in the case of rigid vegetation. Further, the application of this study can be extended for studying the tsunami hazard mitigation in the presence of coastal forest.
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Рахматуллин, З. З., И. Р. Рахматуллина, А. К. Габделхаков, М. В. Мартынова e Р. Р. Султанова. "NDVI DYNAMICS OF VEGETATION COVER IN BASHKORTOSTAN URBAN FOREST". In Лесные экосистемы в условиях изменения климата: биологическая продуктивность и дистанционный мониторинг. Crossref, 2019. http://dx.doi.org/10.25686/6157.2019.5.58821.

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Дистанционные методы зондирования Земли (ДЗЗ) в условиях большого объема данных о состоянии природных объектов и значительного усложнения теоретических проблем, требующих пространственного решения, приобретают все большее значение. Оценка природных систем на основе ДЗЗ позволяет провести всесторонний, системный анализ и синтез упорядоченных в пространстве и времени данных о населении, экономике, социальной сфере, природно-климатических, экологических и других разнообразных факторах. Целью исследования было проанализировать существующее состояние и динамику вегетационного индекса NDVI на примере лесопарка имени Лесоводов Башкирии. Для этого были использованы космические снимки Landsat за 1988 и 2017 гг., по которым определены NDVI растительного покрова исследуемого парка. Индексное изображение NDVI было получено с помощью инструмента Vegetation Index в программном пакете со свободной лицензией SAGA 7.2.0. Вегетационный индекс NDVI на полученной тематической карте сгруппирован в 8 классов с градацией от 0,25 до 0,8. Полученные результаты свидетельствуют о росте NDVI в нескольких классах за рассматриваемый период на исследуемой территории. Это можно объяснить увеличением со временем фитомассы насаждений и сомкнутости крон деревьев. Зависимости динамики вегетационного индекса от происхождения насаждений и их породного состава не выявлено. Тем не менее, увеличение распределения NDVI по площади на 2 и более классов прослеживается преимущественно в лиственных насаждениях в хвойные насаждения за исследуемый период увеличение NDVI по площади произошло на 1 класс. Уменьшение этого вегетационного индекса в основном связано с проведенными в последние годы мероприятиями по благоустройству лесопарка. Earth remote sensing methods in the conditions of the large amounts of data on the state of natural objects and a significant complication of theoretical problems that require direct solutions, come to the foreground of current research. Remote sensing of the natural systems provides a comprehensive and systematic analysis of the temporary and spatially ordered data on population, economy, social sphere, climate, environment and other factors. The purpose of our research was to analyze the current state and dynamics of the vegetation index NDVI in Bashkortostan urban forest. For this purpose we used Landsat satellite images for 1988 and 2017, and calculated vegetation indices of the area under study. NDVI index image was obtained using the Vegetation Index software package with free SAGA 7.2.0 license. The vegetation index NDVI on the resulting thematic map has been grouped into 8 classes with a gradation varying from 0.25 to 0.8. The obtained results indicate the growth of NDVI in several classes over the reference period and on the area under study. This can be explained by gradual increase in phytomass of plantations and the closeness of tree crowns over time. The dependence of the dynamics of the vegetation index on the origin of 105 plantations and their species composition has not been revealed. However, the increase in the distribution of NDVI by 2 or more classes has been registered mainly on deciduous plantations while on coniferous plantations the increase in NDVI occurred over the study period by 1 class. The decrease in the vegetation index is observed primarily as a result of landscaping activities carried out in recent years in the urban forest.
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Kannan, D. P. "Grass Vegetation Dynamics in Wetlands with Different Utilization". In XXV International Grassland Congress. Berea, KY 40403: International Grassland Congress 2023, 2023. http://dx.doi.org/10.52202/071171-0040.

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Kannan, D. P. "Grass Vegetation Dynamics in Wetlands with Different Utilization". In XXV International Grassland Congress. Berea, KY 40403: International Grassland Congress 2023, 2023. http://dx.doi.org/10.52202/071171-0124.

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Wan, Hongxiu, Zhandong Sun e Yongming Xu. "Monitoring vegetation dynamics with SPOT-VEGETATION NDVI time-series data in Tarim Basin, Xinjiang, China". In SPIE Europe Remote Sensing, a cura di Ulrich Michel e Daniel L. Civco. SPIE, 2009. http://dx.doi.org/10.1117/12.830276.

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Kononova, N. A., e Т. М. Zorkina. "Dynamics of meadow-bog vegetation because of flooding of the coastal zone of the salt lake Kurinka (Koybalskay steppe, Khakasia)". In Problems of studying the vegetation cover of Siberia. TSU Press, 2020. http://dx.doi.org/10.17223/978-5-94621-927-3-2020-19.

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The paper presents the results of long-term studies of the structural and functional organization of the vegetation of the coastal zone of the salt lake Kurinka (Koybalskay steppe, Khakasia). It is shown that the structure of coastal vegetation changes due to abnormal weather conditions of the year. As a result of a prolonged drought and a decrease in the area of the lake surface, the dominant Phragmites australis fell out from the coastal zone, and community Bolboschoenus maritimus was formed. The restoration of a stable typical community was noted, when a favorable weather conditions in subsequent years were established.
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Rapporti di organizzazioni sul tema "Vegetation dynamics"

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Xu, Chonggang, Youzuo Lin, Nishant Panda, Monty Vesselinov e Humberto Vazquez. Process-based Neural Network to Forecast Vegetation Dynamics. Office of Scientific and Technical Information (OSTI), aprile 2021. http://dx.doi.org/10.2172/1769768.

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Clark, James, Lara Kueppers, Daniel Stover e Peter Wyckoff. Disturbance and Vegetation Dynamics in Earth System Models: Workshop Report. Office of Scientific and Technical Information (OSTI), novembre 2018. http://dx.doi.org/10.2172/1616531.

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von Behren, Christa. Composition and Dispersal Dynamics of Vegetation Communities in Urban Riparian Forests. Portland State University Library, gennaio 2000. http://dx.doi.org/10.15760/etd.6293.

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Jackson, Samuel, Christina Saltus, Molly Reif e Glenn Suir. During Nearshore Event Vegetation Gradation (DUNEVEG) : geospatial tools for automating remote vegetation extraction. Engineer Research and Development Center (U.S.), settembre 2023. http://dx.doi.org/10.21079/11681/47649.

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Monitoring and modeling of coastal vegetation and ecosystems are major challenges, especially when considering environmental response to hazards, disturbances, and management activities. Remote sensing applications can provide alternatives and complementary approaches to the often costly and laborious field-based collection methods traditionally used for coastal ecosystem monitoring. New and improved sensors and data analysis techniques have become available, making remote sensing applications attractive for evaluation and potential use in monitoring coastal vegetation properties and ecosystem conditions and changes. This study involves the extraction of vegetation metrics from airborne lidar and hyperspectral imagery (HSI) collected by the US Army Corps of Engineers (USACE) National Coastal Mapping Program (NCMP) to quantify coastal dune vegetation characteristics. A custom geoprocessing toolbox and associated suite of tools were developed to allow inputs of common NCMP lidar and imagery products to help automate the workflow for extracting prioritized dune vegetation metrics in an efficient and repeatable way. This study advances existing coastal ecosystem knowledge and remote sensing techniques by developing new methodologies to classify, quantify, and estimate critical coastal vegetation metrics which will ultimately improve future estimates and predictions of nearshore dynamics and impacts from disturbance events.
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Walker, D. A., e M. D. Walker. Landscape dynamics in the Arctic foothills: Landscape evolution and vegetation succession on disturbances. Office of Scientific and Technical Information (OSTI), ottobre 1990. http://dx.doi.org/10.2172/6179258.

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Akasbi, Zakia. Pastoral systems and their interaction with spatiotemporal vegetation dynamics in the Atlas Mountains, Southern Morocco. BEE-Press, ottobre 2012. http://dx.doi.org/10.7809/thesis.phd.002.

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Gonzalez-Meler, Miquel A., Jeffrey M. Welker e Neil C. Sturchio. Permafrost Thawing and Vegetation Change Effects on Cryoturbation Rates and C and CH4 Dynamics. Final Report. Office of Scientific and Technical Information (OSTI), novembre 2016. http://dx.doi.org/10.2172/1374443.

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Roessler, Sebastian, Andreas Dietz e Samuel Schilling. Time series analysis of remotely sensed snow cover data: revealing permafrost thermal state and vegetation dynamics. International Permafrost Association (IPA), giugno 2024. http://dx.doi.org/10.52381/icop2024.158.1.

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Keane, Robert E., Rachel A. Loehman e Lisa M. Holsinger. The FireBGCv2 landscape fire and succession model: a research simulation platform for exploring fire and vegetation dynamics. Ft. Collins, CO: U.S. Department of Agriculture, Forest Service, Rocky Mountain Research Station, 2011. http://dx.doi.org/10.2737/rmrs-gtr-255.

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Eisemann, Eve, Catherine Thomas, Matthew Balazik, Damarys Acevedo-Mackey e Safra Altman. Environmental factors affecting coastal and estuarine submerged aquatic vegetation (SAV). Engineer Research and Development Center (U.S.), ottobre 2021. http://dx.doi.org/10.21079/11681/42185.

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Submerged aquatic vegetation (SAV) growing in estuarine and coastal marine systems provides crucial ecosystem functions ranging from sediment stabilization to habitat and food for specific species. SAV systems, however, are sensitive to a number of environmental factors, both anthropogenic and natural. The most common limiting factors are light limitation, water quality, and salinity, as reported widely across the literature. These factors are controlled by a number of complex processes, however, varying greatly between systems and SAV populations. This report seeks to conduct an exhaustive examination of factors influencing estuarine and coastal marine SAV habitats and find the common threads that tie these ecosystems together. Studies relating SAV habitats in the United States to a variety of factors are reviewed here, including geomorphological and bathymetric characteristics, sediment dynamics, sedimentological characteristics, and water quality, as well as hydrologic regime and weather. Tools and methods used to assess each of these important factors are also reviewed. A better understanding of fundamental environmental factors that control SAV growth will provide crucial information for coastal restoration and engineering project planning in areas populated by SAVs.
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