scholarly journals Classification of the forest vegetation of Colorado by habitat type and community type.

1987 ◽  
Author(s):  
R.R. Alexander
2019 ◽  
Vol 143 (5-6) ◽  
pp. 264-264
Author(s):  
Ivana Plišo Vusić ◽  
Irena Šapić ◽  
Joso Vukelić

Habitat type 91E0 in Croatia extends to approximately 80,000 ha. It contains 16 types according to the National habitat classification of Croatia (NHC). They are based on phytosociological principles and are aligned with the level of association. They are: E.1. Riparian alluvial willow forests (Salicion albae Soó 1930), poplar (Populion albae Br.-Bl. 1931) and white alder forests (Alnion incanae Pawl. in Pawl. et al. 1928) Riparian alluvial willow and poplar forests (Salicion albae, Populion albae) E.1.1.1. – Salicetum albae-fragilis Soó (1930) 1958 E.1.1.2. – Salicetum albae Isller 1926 E.1.1.3. – Salici-Populetum nigrae (R. Tx. 1931) Meyer Drees 1936 E.1.2.1. – Populetum albae (Br.-Bl.) Tchou 1947 E.1.2.2. – Populetum nigro-albae Slavnić 1952 Alluvial white alder forests (Alnion incanae) E.1.3.1. – Equiseto hyemali-Alnetum incanae M. Moor 1958 E.1.3.2. – Lamio orvalae-Alnetum incanae Dakskobler 2010 E.2. Floodplain forests of pedunculate oak, black alder and narrow-leaved ash (Alnion glutinosae Malcuit 1929, Alnion incanae) Swamp and floodplain forests of black alder narrow-leaved ash (Alnion glutinosae) E.2.1.4. – Frangulo-Alnetum glutinosae Rauš (1971) 1973 E.2.1.6. – Carici elongatae-Alnetum glutinosae W. Koch 1926 ex Tx. 1931 E.2.1.7. – Leucojo-Fraxinetum angustifoliae Glavač 1959 E.2.1.9. – Carici acutiformis-Alnetum glutinosae Scamoni 1935 Alluvial and wetland forests of black alder, elms, narrow-leaved and common ash (Alnion incanae) E.2.1.1. – Fraxino angustifoliae-Ulmetum laevis Slavnić 1952 E.2.1.2. – Carici remotae-Fraxinetum excelsioris W. Koch 1926 ex Faber 1936 E.2.1.3. – Carici brizoidis-Alnetum glutinosae Horvat 1938 E.2.1.5. – Pruno-Fraxinetum angustifoliae Glavač 1960 E.2.1.8. – Stellario nemorum-Alnetum glutinosae Lohmayer 1957 The article contains a description, area of distribution in Croatia, and diagnostic indicators for each type. For each type related types are listed, the corresponding code according to EUNIS-classification, and literature in which is described in more detail. This article has practical importance because it helps in the identification and mapping of forest habitat types, and these tasks are currently being implemented in the Croatian forestry.


2021 ◽  
Vol 78 (4) ◽  
Author(s):  
Tomasz Hycza ◽  
Przemysław Kupidura

Abstract • Key message The aim of the study was to distinguish orchards from other lands with forest vegetation based on the data from airborne laser scanning. The methods based on granulometry provided better results than the pattern analysis. The analysis based on the Forest Data Bank/Cadastre polygons provided better results than the analysis based on the segmentation polygons. Classification of orchards and other areas with forest vegetation is important in the context of reporting forest area to international organizations, forest management, and mitigating effects of climate change. • Context Agricultural lands with forest vegetation, e.g., orchards, do not constitute forests according to the forest definition formulated by the national and international definitions, but contrary to the one formulated in the Kyoto Protocol. It is a reason for the inconsistency in the forest area reported by individual countries. • Aims The aim of the study was to distinguish orchards from other lands with forest vegetation based on the data from airborne laser scanning. • Methods The study analyzed the usefulness of various laser scanning products and the various features of pattern and granulometric analysis in the Milicz forest district in Poland. • Results The methods based on granulometry provided better results than the pattern analysis. The analysis based on the Forest Data Bank/Cadastre polygons provided better results than the analysis based on the segmentation polygons. • Conclusion Granulometric analysis has proved to be a useful tool in the classification of orchards and other areas with forest vegetation. It is important in the context of reporting forest area to international organizations, forest management, and mitigating effects of climate change.


Author(s):  
Gianmaria Bonari ◽  
Federico Fernández‐González ◽  
Süleyman Çoban ◽  
Tiago Monteiro‐Henriques ◽  
Erwin Bergmeier ◽  
...  

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