Subject: "grouse" / Publication Year: 2013 / Subject: Tetrao urogallus

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Author:: Tornberg, Risto; Lindén, Andreas; Byholm, Patrik; Ranta, Esa; Valkama, Jari; Helle, Pekka; Lindén, Harto
Source:: Oecologia 2013 v.171 no.4 pp. 863-872
ISSN:: 0029-8549
Subject:: grouse, etc ; Accipiter gentilis; Tetrao urogallus; Tetrix; active sites; adverse effects; biomass; forests; models; population dynamics; predators; Finland; Show all 12 Subjects
Abstract:: ... Different prey species can vary in their significance to a particular predator. In the simplest case, the total available density or biomass of a guild of several prey species might be most relevant to the predator, but behavioural and ecological traits of different prey species can alter the picture. We studied the population dynamics of a predator–prey setting in Finland by fitting first-order l ...
DOI:: 10.1007/s00442-012-2448-z
PubMed:: 22961371
: http://dx.doi.org/10.1007/s00442-012-2448-z

Author:: Zellweger, Florian; Braunisch, Veronika; Baltensweiler, Andri; Bollmann, Kurt
Source:: Forest ecology and management 2013 v.307 pp. 303-312
ISSN:: 0378-1127
Subject:: grouse, etc ; Picoides; Tetrao urogallus; canopy; edge effects; forestry; forests; habitats; landscapes; leaves; lidar; managers; models; remote sensing; snags; species diversity; sympatry; trees; woodpeckers; Switzerland; Show all 20 Subjects
Abstract:: ... Along with plant species composition forest structural complexity is an important determinant of forest biodiversity, but difficult to predict in space from field data. We analyzed forest structural complexity based on a comprehensive set of variables derived from nationally available, area-wide remote sensing, particularly LiDAR data. We generated variables related to vertical and horizontal stru ...
DOI:: 10.1016/j.foreco.2013.07.023
: https://dx.doi.org/10.1016/j.foreco.2013.07.023