Temat: vegetation - Prolib Integro

Skocz do pozycji: 1.

Tytuł:: Fen and spring vegetation in western Pamir-Alai Mountains in Tajikistan (Middle Asia)
Autorzy:: Plášek, Vítězslav
Nobis, Marcin
Nowak, Sylwia
Nowak, Arkadiusz
Opis:: The paper presents the results of phytosociological research on spring and fen vegetation of the western Pamir-Alai Mountains in Tajikistan. In total, 211 relevés were sampled during field studies conducted in 2008-2013 and 2015 with application of the Braun-Blanquet method. Plant communities of spring heads and peat-accumulated fens inhabiting the high montane and alpine zones in the Zeravshan, Hissar, Hazratishoh, Darvaz, Turkestan and Peter the 1st Mountains are described. A hierarchical syntaxonomic synopsis of spring and fen plant communities in the western Pamir-Alai Mountains is provided. As a result of field investigations and numerical analyses, three fen associations: Caricetum pseudofoetidae, Allietum fedtschenkoani, and Eleocharido quinqueflorae-Primuletum iljinskii have been distinguished. They were included in the Dactylorhizo umbrosae-Caricion orbicularis alliance, which was proposed to comprise the neutral and alkaline alpine fens of Middle Asia. Additionally, within the Montio-Cardaminetea class three spring associations have been defined: Epilobio tianschanici-Bryetum schleicheri, Clementsietum semenovii and Codonopsideto clematidi-Cortusetum turkestanicae. Because of their floristic composition vague, and some vaguen comparison to European and other Asiatic spring vegetation, the crenic communities of western Pamir-Alai have been assigned provisionally to a Cratoneurion commutati alliance. A synopsis of the spring and fen plant communities of the western Pamir-Alai is also proposed. The main environmental factors determining the species composition of the sampled vegetation are the amount of dissolved electrolytes, altitude and soil reaction.
Dostawca treści:: Repozytorium Uniwersytetu Jagiellońskiego

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Skocz do pozycji: 2.

Tytuł:: Detection and classification of vegetation areas from red and near infrared bands of LANDSAT-8 optical satellite image
Autorzy:: Nallapareddy, Anusha
Tematy:: classification
remote sensing
soil adjusted vegetation index
normalized difference vegetation index
vegetation; Pokaż więcej
Wydawca:: Polskie Towarzystwo Promocji Wiedzy
Powiązania:: https://bibliotekanauki.pl/articles/2097428.pdf Link otwiera się w nowym oknie
Opis:: Detection and classification of vegetation is a crucial technical task in the management of natural resources since vegetation serves as a foundation for all living things and has a significant impact on climate change such as impacting terrestrial carbon dioxide (CO2). Traditional approaches for acquiring vegetation covers such as field surveys, map interpretation, collateral and data analysis are ineffective as they are time consuming and expensive. In this paper vegetation regions are automatically detected by applying simple but effective vegetation indices Normalized Difference Vegetation Index (NDVI) and Soil Adjusted Vegetation Index (SAVI) on red(R) and near infrared (NIR) bands of Landsat-8 satellite image. Remote sensing technology makes it possible to analyze vegetation cover across wide areas in a cost-effective manner. Using remotely sensed images, the mapping of vegetation requires a number of factors, techniques, and methodologies. The rapid improvement of remote sensing technologies broadens possi-bilities for image sources making remotely sensed images more accessible. The dataset used in this paper is the R and NIR bands of Level-1 Tier 1 Landsat-8 optical remote sensing image acquired on 6th September 2013, is processed and made available to users on 2nd May 2017. The pre-processing involving sub-setting operation is performed using the ERDAS Imagine tool on R and NIR bands of Landsat-8 image. The NDVI and SAVI are utilized to extract vegetation features automatically by using python language. Finally by establishing a threshold, vegetation cover of the research area is detected and then classified.
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 3.

Tytuł:: Some geo-botanic features of the Kurile Islands
Autorzy:: Ganzei, Kirill
Tematy:: Kurile Islands
vegetation
climate
volcanism
vegetation asymmetry; Pokaż więcej
Wydawca:: Uniwersytet Warszawski. Wydział Geografii i Studiów Regionalnych
Powiązania:: https://bibliotekanauki.pl/articles/1036009.pdf Link otwiera się w nowym oknie
Opis:: Results of many years research of geo-botanic of the Kurile Islands are presented in article. Vegetation spatial structure of the Kurile Islands is conditioned by complex interactions of endogenous and exogenous factors. Meridional extension for almost 1200 km determines a significant climatic differenciation within archipelago. It is resulted in changes of vertical vegetation zones in the different regions of Kurile Islands. System of hot and cold currents in the adjacent sea water is the factor of asymmetry of vegetation. Special traits of archipelago are determined by the volcanic activity
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 4.

Tytuł:: Effect of ecological factors on the zonation of wetland vegetation
Autorzy:: Hrivnak, R
Tematy:: vegetation zonation
wetland
wetland vegetation
vegetation change
floristic change
hydrology
zonation
species-environment relationship; Pokaż więcej
Wydawca:: Polskie Towarzystwo Botaniczne
Powiązania:: https://bibliotekanauki.pl/articles/58846.pdf Link otwiera się w nowym oknie
Opis:: The influence of some ecological factors to aquatic and marsh vegetation was studied during 1998-2000. Three basic vegetation units (Caricetum buekii, Typhetum latifoliae and Ceratophylletum submersi) and three transitional communities were defined in the belt transect, which was established along the moisture gradient. The content of available soil nutrients in individual vegetation types differed only in case of the Ceratophyllum submersum community, where a higher magnesium and nitrogen content accumulated due to specific environmental conditions. Water and marsh vegetation is usually characterised by a pronounced spatial and temporal dynamics. In the studied area, its zonation was dependent from the terrain morphology, and both depth and duration of floods. The fluctuation of ground and surface water table during a three-year period caused changes in the occurrence and cover of several species (e.g. Carex buekii, Typha latifolia, aquatic macrophytes). Pronounced changes in the cover of some species occurred even within a single vegetation season due to the long-term sink of water table below the ground surface.
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 5.

Tytuł:: Wykorzystanie danych ze skaningu laserowego do pomiaru zmian zasięgu oraz struktury pionowej roślinności semi-naturalnego odcinka doliny Wisły
Autorzy:: Gajda, Agnieszka
Tematy:: LiDAR, vegetation extent changes, vertical structure of vegetation; Pokaż więcej
Wydawca:: Uniwersytet Jagielloński. Wydawnictwo Uniwersytetu Jagiellońskiego
Powiązania:: https://bibliotekanauki.pl/articles/634069.pdf Link otwiera się w nowym oknie
Opis:: Application of laser scanning data in the analysis of the changes in vegetation vertical structure and changes in a semi-natural section of the Vistula valleyChanges in vegetation cover are one of the features affecting the functioning of river valleys. Vegetation influences the geomorphological and hydrological processes within a water basin. Controlling the quality and quantity of vegetation is crucial for keeping the eco- and geosystem balance. Until now the methods applied in controlling vegetation were not efficient (field work) or were not providing enough information about the vertical structure of plant communities (i.e. analyses based on data obtained from optical remote sensing do not allow precise determination of vegetation height). The aim of this study was to determine the changes in the extent and vertical structure of the vegetation within a semi-natural section of the Vistula river valley in Krakow between 2006 and 2012 using airborne laser scanning. The application of such data in this type of research was also evaluated. The study revealed that, in spite of spite of maintenance work, the extent of vegetation cover increased during the monitoring period. Data verification indicated high precision and suitability of these data in the determination of the vegetation cover changes at the local scale. A wider access to data obtained from airborne laser scanning should soon result in the proliferation of studies conducted using airborne laser scanning which will positively impact the cost and quality of such research.
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 6.

Tytuł:: Enhancing Semi-Arid Ecosystem Resilience in Jordan Using Controlled Grazing–A Short and Long-Term Assessment
Autorzy:: Sawalhah, Mohammad N.
Alshdaifat, Mustafa F.
Al-Kofahi, Salman D.
Almasaeid, Oday M.
Tematy:: plant biodiversity index
NDVI
vegetation cover
vegetation health; Pokaż więcej
Wydawca:: Polskie Towarzystwo Inżynierii Ekologicznej
Powiązania:: https://bibliotekanauki.pl/articles/59113964.pdf Link otwiera się w nowym oknie
Opis:: Grazing management strategies in arid ecosystems are of critical importance to regulate plant regeneration, improve forage quality, and ensure sustainable utilization of rangelands. This study examined the impacts of controlled grazing management on vegetation dynamics (gain/loss) and land cover changes over a 17-year period (2006–2022) at the Royal Botanic Garden, Jordan. Climatic factors, including precipitation and temperature, were analyzed alongside the Normalized Difference Vegetation Index (NDVI) to assess vegetation health and greenness. Autoregression models were used to investigate annual temporal trends between vegetation biodiversity indices and climatic factors. To assess the impact of controlled grazing on vegetation biodiversity, the study period was divided into four periods: the initial period (period 0: 2006–2007) which represented the pre-dating-controlled grazing period, followed by three subsequent periods: period 1 (2008–2012), period 2 (2013–2017), and period 3 (2018–2022). Land cover analysis using yearly averaged NDVI values was assessed, including five distinct classes: water body, barren soil, herbaceous and shrub, open forest, and closed forest. The study identified short-term changes during period 1 and long-term changes during periods 2 and 3. The results revealed a significant annual temporal trend only in NDVI (P<0.001), indicating dynamic changes in vegetation health over the whole study period. A positive influence of controlled grazing on vegetation dynamics and biomass production was observed. During period 3, controlled grazing has led to a significant (P<0.05) increase in vegetation biomass compared to earlier periods (214.4 ton in period 3 compared to 97.1 and 106.8 ton in periods 1 and 2, respectively). NDVI also showed significantly higher values during the later periods of controlled grazing, emphasizing its positive impact on long-term vegetation health. Furthermore, the study showed interesting trends in plant groups and species, with short-term controlled grazing leading to increased species richness and significant changes in vegetation indices. Over the study period, controlled grazing influenced land cover dynamics, with significant decreases in barren soil (from 66.7% to 9.8%) and increases in herbaceous and shrubland areas (33.2% to 89.6%). The study concluded that controlled grazing significantly shapes plant communities, fostering dynamic changes in species and groups over time. The study provides valuable insights into the ecological impact of controlled grazing management. The obtained f indings revealed vegetation resilience to short-term climate variations, with sustained vegetation health under grazing. Grazing management strategies in arid ecosystems are of critical importance to regulate plant regeneration, improve forage quality, and ensure sustainable utilization of rangelands. This study examined the impacts of controlled grazing management on vegetation dynamics (gain/loss) and land cover changes over a 17-year period (2006–2022) at the Royal Botanic Garden, Jordan. Climatic factors, including precipitation and temperature, were analyzed alongside the Normalized Difference Vegetation Index (NDVI) to assess vegetation health and greenness. Autoregression models were used to investigate annual temporal trends between vegetation biodiversity indices and climatic factors. To assess the impact of controlled grazing on vegetation biodiversity, the study period was divided into four periods: the initial period (period 0: 2006–2007) which represented the pre-dating-controlled grazing period, followed by three subsequent periods: period 1 (2008–2012), period 2 (2013–2017), and period 3 (2018–2022). Land cover analysis using yearly averaged NDVI values was assessed, including five distinct classes: water body, barren soil, herbaceous and shrub, open forest, and closed forest. The study identified short-term changes during period 1 and long-term changes during periods 2 and 3. The results revealed a significant annual temporal trend only in NDVI (P<0.001), indicating dynamic changes in vegetation health over the whole study period. A positive influence of controlled grazing on vegetation dynamics and biomass production was observed. During period 3, controlled grazing has led to a significant (P<0.05) increase in vegetation biomass compared to earlier periods (214.4 ton in period 3 compared to 97.1 and 106.8 ton in periods 1 and 2, respectively). NDVI also showed significantly higher values during the later periods of controlled grazing, emphasizing its positive impact on long-term vegetation health. Furthermore, the study showed interesting trends in plant groups and species, with short-term controlled grazing leading to increased species richness and significant changes in vegetation indices. Over the study period, controlled grazing influenced land cover dynamics, with significant decreases in barren soil (from 66.7% to 9.8%) and increases in herbaceous and shrubland areas (33.2% to 89.6%). The study concluded that controlled grazing significantly shapes plant communities, fostering dynamic changes in species and groups over time. The study provides valuable insights into the ecological impact of controlled grazing management. The obtained f indings revealed vegetation resilience to short-term climate variations, with sustained vegetation health under grazing.
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 7.

Tytuł:: The Polish Vegetation Database: structure, resources and development
Autorzy:: Kacki, Z.
Sliwinski, M.
Tematy:: Polish Vegetation Database
structure
resource
development
vegetation
database
phytosociology
biodiversity
Polska; Pokaż więcej
Wydawca:: Polskie Towarzystwo Botaniczne
Powiązania:: https://bibliotekanauki.pl/articles/58241.pdf Link otwiera się w nowym oknie
Opis:: The phytosociological database Polish Vegetation Database collects relevés of all vegetation types in Poland. The database was established in 2007 and is located at Department of Biodiversity and Plant Cover Protection, University of Wrocław (http://synbiot.uni.wroc.pl). On March 2012, the database included 40000 relevés collected between 1927 and 2011. Most of relevés was taken from published papers and represents almost all types of habitats of Poland. Large groups of relevés represent meadows and pastures (Molinio-Arrhnehteretrea), broadleaf forests (Querco-Fagetea), arable land communities (Stellarietea), coniferous forests (Vaccinio-Piceetea) and eutrophic reed communities (Phragmitetea). In comparison to other countries in Central Europe, Polish Vegetation Database currently belongs to medium-sized databases, with full functionality and accessibility. The present article describes its development, basic operational information and how it can be used in analysis of vegetation in Poland.
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 8.

Tytuł:: Long-term dynamics of a fir-beech forest released from direct human pressure
Autorzy:: Mitka, Józef
Kot, Marceli
Stachurska-Swakoń, Alina
Opis:: Information on the long-term trends of herbaceous vegetation in protected forest ecosystems is limited. This study examines changes in a fir-beech forest reserve located at the northeastern edge of the geographical distribution of fir and beech in eastern Poland over a period of 60 years, across four census years: 1964, 1988, 2002, and 2024, using historical phytosociological data. The analysis reveals significant fluctuations in forest communities before establishing protection status, followed by a period of stabilization afterwards. During the study, sycamore expanded, while both beech and fir experienced declines in the tree layer, leading to small-scale gap dynamics. A notable increase in the prevalence of the parasitic species Viscum alba subsp. abietis was recorded. Overall, both inter-site β-diversity and α-diversity declined throughout the study period. Since the formation of plant subsets dominated by the site-specific Allium ursinum, there has been a corresponding rise in nestedness. These findings contrast with similar long-term studies conducted in managed forests, which often report that generalist species are becoming dominant while habitat specialists decline. In the protected forest being studied, the dominance of the allelopathic specialist helps stabilize the forest community's structure, and the absence of management strategies prevents the proliferation of invasive species. Overall, a general trend toward homogenization and the progressive simplification of species assemblages is notable.
Dostawca treści:: Repozytorium Uniwersytetu Jagiellońskiego

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Skocz do pozycji: 9.

Tytuł:: Mapping secondary forest succession on abandoned agricultural land in the Polish Carpathians
Autorzy:: Dobosz, Monika
Psomas, A.
Ginzler, Ch.
Kolecka, Natalia
Kaim, Dominik
Kozak, Jacek
Dostawca treści:: Repozytorium Uniwersytetu Jagiellońskiego

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Skocz do pozycji: 10.

Tytuł:: Integrating Vegetation Indices and Spectral Features for Vegetation Mapping from Multispectral Satellite Imagery Using AdaBoost and Random Forest Machine Learning Classifiers
Autorzy:: Saini, Rashmi
Tematy:: ensemble classifiers
Machine Learning
Random Forest
AdaBoost
vegetation mapping
vegetation indices; Pokaż więcej
Wydawca:: Akademia Górniczo-Hutnicza im. Stanisława Staszica w Krakowie. Wydawnictwo AGH
Powiązania:: https://bibliotekanauki.pl/articles/2174656.pdf Link otwiera się w nowym oknie
Opis:: Vegetation mapping is an active research area in the domain of remote sensing. This study proposes a methodology for the mapping of vegetation by integrating several vegetation indices along with original spectral bands. The Land Use Land Cover classification was performed by two powerful Machine Learning techniques, namely Random Forest and AdaBoost. The Random Forest algorithm works on the concept of building multiple decision trees for the final prediction. The other Machine Learning technique selected for the classification is AdaBoost (adaptive boosting), converts a set of weak learners into strong learners. Here, multispectral satellite data of Dehradun, India, was utilised. The results demonstrate an increase of 3.87% and 4.32% after inclusion of selected vegetation indices by Random Forest and AdaBoost respectively. An Overall Accuracy (OA) of 91.23% (kappa value of 0.89) and 88.59% (kappa value of 0.86) was obtained by means of the Random Forest and AdaBoost classifiers respectively. Although Random Forest achieved greater OA as compared to AdaBoost, interestingly AdaBoost provided better class-specific accuracy for the Shrubland class compared to Random Forest. Furthermore, this study also evaluated the importance of each individual feature used in the classification. Results demonstrated that the NDRE, GNDVI, and RTVIcore vegetation indices, and spectral bands (NIR, and Red-Edge), obtained higher importance scores.
Dostawca treści:: Biblioteka Nauki

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