scholarly journals The current state of the steppe vegetation classification system in the Volga region

2021 ◽  
Vol 818 (1) ◽  
pp. 012028
Author(s):  
T M Lysenko
Keyword(s):  
Classification System ◽  
Vegetation Classification ◽  
Volga Region ◽  
Steppe Vegetation ◽  
Current State

An Irish national vegetation classification system for aquatic river macrophytes

2018 ◽  
Vol 21 (2) ◽  
pp. 322-340 ◽  
Author(s):  
Lynda Weekes ◽  
Zygmunt Kącki ◽  
Úna FitzPatrick ◽  
Fiona Kelly ◽  
Ronan Matson ◽  
...  
Keyword(s):  
Classification System ◽  
Vegetation Classification ◽  
National Vegetation Classification

scholarly journals EIGR – knowledge base as a tool facilitating the management of groundwater resources in Europe

2017 ◽  
Vol 33 (4) ◽  
pp. 79-92
Author(s):  
Barbara Tomaszewska ◽  
Marta Dendys ◽  
Krzysztof Galos
Keyword(s):  
Water Management ◽  
Scientific Knowledge ◽  
Classification System ◽  
State Of The Art ◽  
Groundwater Resources ◽  
Knowledge Resources ◽  
Horizon 2020 ◽  
Knowledge Repository ◽  
Current State ◽  
Research Classification

Abstract The KINDRA project is being implemented within the framework of the Horizon 2020 programme. Its main purpose is to carry out an EU-wide assessment of existing practical and scientific knowledge related to groundwater on the basis of an innovative classification system - the Hydrogeological Research Classification System (HRC-SYS). This assessment will be based on the knowledge repository, the European Inventory of Groundwater Research (EIGR). The EIGR database is also intended as a functional tool that will provide knowledge resources to be used by individuals and representatives of all institutions whose activities involve groundwater and water management. The purpose of this article is to outline the main assumptions underlying the KINDRA project and to present the methodology for creating the EIGR database, placing particular emphasis on the experience of experts who represent Poland. The materials and information they prepared as contributions to the EIGR have made it possible to review and evaluate the current state of the art as well as the publications resulting from the water management activities undertaken in Poland.

scholarly journals A novel biome concept and classification system based on bioclimate and vegetation – a Neotropical assay

2021 ◽  
Vol 2 ◽  
pp. 159-175
Author(s):  
Gonzalo Navarro ◽  
José Antonio Molina
Keyword(s):  
Classification System ◽  
Vegetation Structure ◽  
Large Scale ◽  
Hierarchical Classification ◽  
Vegetation Classification ◽  
Classification Systems ◽  
Tropical Ecosystems ◽  
Bioclimatic Variables ◽  
Ecological Functionality

The knowledge of biomes as large-scale ecosystem units has benefited from advances in the ecological and evolutionary sciences. Despite this, a universal biome classification system that also allows a standardized nomenclature has not yet been achieved. We propose a comprehensive and hierarchical classification method and nomenclature to define biomes based on a set of bioclimatic variables and their corresponding vegetation structure and ecological functionality. This method uses three hierarchical biome levels: Zonal biome (Macrobiome), Biome and Regional biome. Biome nomenclature incorporates both bioclimatic and vegetation characterization (i.e. formation). Bioclimate characterization basically includes precipitation rate and thermicity. The description of plant formations encompasses vegetation structure, physiognomy and foliage phenology. Since the available systems tend to underestimate the complexity and diversity of tropical ecosystems, we have tested our approach in the biogeographical area of the Neotropics. Our proposal includes a bioclimatic characterization of the main 16 Neotropical plant formations identified. This method provides a framework that (1) enables biome distribution and changes to be projected from bioclimatic data; (2) allows all biomes to be named according to a globally standardized scheme; and (3) integrates various ecological biome approaches with the contributions of the European and North American vegetation classification systems. Taxonomic reference: Jørgensen et al. (2014). Dedication: This work is dedicated to the memory of and in homage to Prof. Dr. Salvador Rivas-Martínez.

scholarly journals A revised scheme of vegetation classification system of China

2020 ◽  
Vol 44 (2) ◽  
pp. 111-127 ◽  
Author(s):  
Ke GUO ◽  
Jing-Yun FANG ◽  
Guo-Hong WANG ◽  
Zhi-Yao TANG ◽  
Zong-Qiang XIE ◽  
...  
Keyword(s):  
Classification System ◽  
Vegetation Classification

scholarly journals Coastal marsh soils in Poland: characteristics and problems of classification

2016 ◽  
Vol 67 (1) ◽  
pp. 37-44 ◽  
Author(s):  
Piotr Hulisz
Keyword(s):  
Classification System ◽  
Small Area ◽  
Soil Classification ◽  
Coastal Marsh ◽  
Genetic Approach ◽  
Alluvial Sediments ◽  
Baltic Coast ◽  
Current State ◽  
Substantial Modification ◽  
Quantitative Genetic

AbstractThis paper presents the current state of knowledge concerning the genesis, properties and taxonomic position of soils developed from marine and marine-alluvial sediments in Poland, called “marsh soils”. They have not as yet been identified in the fifth edition of the Polish Soil Classification (2011). However, the author’s results demonstrate that, despite occupying only a small area along the Polish Baltic coast, these soils clearly show a distinct typological specificity. This confirms the need to include the marsh soils in the Polish classification system. Therefore, the creation a separate unit within the order of weakly-developed soils was proposed. This comprehensive proposal was fully compatible with the quantitative-genetic approach used in the fifth edition. However, this proposal may not be optimal in the context of a substantial modification of the Polish classification system, e.g. by the introduction of completely quantitative hierarchical key. Because of the close taxonomic relationships between marsh, alluvial and gley soils, it seems necessary to discuss the approach used in the current edition of the WRB classification (2015).

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