DOI: 10.1016/j.foreco.2016.09.007
Scopus记录号: 2-s2.0-84987653495
论文题名: Forest structure as a determinant of grouse brood occurrence – An analysis linking LiDAR data with presence/absence field data
作者: Melin M. ; Mehtätalo L. ; Miettinen J. ; Tossavainen S. ; Packalen P.
刊名: Forest Ecology and Management
ISSN: 0378-1127
出版年: 2016
卷: 380 起始页码: 202
结束页码: 211
语种: 英语
英文关键词: Ecology
; Forest structure
; Grouse
; Habitat
; Lidar
; Remote sensing
Scopus关键词: Animals
; Ecology
; Ecosystems
; Optical radar
; Remote sensing
; Timber
; Vegetation
; Forest structure
; Forestry operations
; Grouse
; Habitat
; Habitat management
; Structural feature
; Vegetation structure
; Wildlife habitats
; Forestry
; abundance
; airborne sensor
; canopy architecture
; forest inventory
; forest management
; gamebird
; habitat management
; habitat quality
; lidar
; remote sensing
; satellite data
; understory
; vegetation structure
; Finland
; Bonasa bonasia
; Tetrao tetrix
; Tetraonidae
英文摘要: Forest-dwelling grouse, and especially their broods, are highly dependent on forest and vegetation structure. In countries with intense forest management, it follows that the quality of their habitats is directly affected by forestry operations. Therefore, we must know which structural features of forests define a good grouse habitat and how the abundance of these features is affected by the forestry operations. Nowadays, airborne lidar (light detection and ranging) is being frequently used for forest inventories and terrain mapping. These data is becoming more and more publicly available and it holds detailed information about the forests and the vegetation structure; a key component of wildlife habitats. In this study, we integrated lidar data with grouse brood presence/absence data. Through GLMM modelling, we aimed (1) to identify the structural features of forests that mostly determine grouse brood occurrence and (2) to assess how they are affected by forest management. The three species assessed were capercaillie, hazel grouse and black grouse. Depending on species, the brood presence was positively (and significantly) affected by denser shrub layer cover, denser canopy cover, higher canopies, or all of these features. The results indicate that grouse broods are highly susceptible to changes in forest structure. In countries like Finland, game management is almost always implemented in managed forests, which in the light of our results creates a need to integrate habitat management into forest management. Our results suggest that when managing grouse brood habitats, attention should be given to maintain both, protective canopy cover and a good understorey cover. It is fair to assume that the removal of these components will significantly decrease brood occurrence. Further, the study showed that a dataset (lidar) collected more for the purposes of forestry can also be used to study wildlife habitats occurring often in the same forests. © 2016 Elsevier B.V. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/64721
Appears in Collections: 影响、适应和脆弱性
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作者单位: University of Eastern Finland, School of Forest Sciences, P.O. Box 111, Joensuu, Finland; University of Eastern Finland, School of Computing, P.O. Box 111, Joensuu, Finland; Finnish Wildlife Agency, Ratatie 41, Muhos, Finland; Finnish Wildlife Agency, Vanamokatu 3D, Rovaniemi, Finland
Recommended Citation:
Melin M.,Mehtätalo L.,Miettinen J.,et al. Forest structure as a determinant of grouse brood occurrence – An analysis linking LiDAR data with presence/absence field data[J]. Forest Ecology and Management,2016-01-01,380