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首页> 外文期刊>The Journal of Raptor Research >FACTORS AFFECTING BREEDING-SITE SELECTION OF NORTHERN GOSHAWKS AT TWO SPATIAL SCALES IN URBANIZED AREAS
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FACTORS AFFECTING BREEDING-SITE SELECTION OF NORTHERN GOSHAWKS AT TWO SPATIAL SCALES IN URBANIZED AREAS

机译:影响城市化地区两种空间鳞片北方羊毛养殖场选择的因素

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We determined breeding-site selection of Northern Goshawks (Accipiter gentilis) by comparing 33 breeding sites to 40 nonbreeding sites at the small (nest tree and vegetation structure within an 11.3-m radius of the nest) and the large scale (biomass of prey species and landscape structure within a 500-m radius from the nest) in the urbanized area of Kanagawa Prefecture, Japan. Goshawks selected primarily Japanese cedar (Cryptomeria japonica) trees over 50-cm diameter at breast height (DBH) as nest trees. Trees smaller than 35-cm DBH were avoided. We used univariate logistic regression to assess vegetation structure of the nesting area. At the small scale, canopy trees in the nest plots were larger and taller, with more canopy cover, than those in non-nesting plots, and nests were farther from human habitations. In addition, nest plots had fewer understory trees than non-nest plots. In multivariate logistic regression, the DBH of canopy trees, number of understory trees, and distance to human habitation were highest in importance. At the large scale, nest plots had a greater percentage of forest area, smaller percentage of built area, more forest edge facing open land, and more forest edge facing PCDRS (parks, cemeteries, developed land, recreational fields, and small-scale vegetated areas &0.01 km(2) in a matrix of &= 30% residential areas). In the multivariate model, the length of forest edge facing open land and the percentage of built area were of highest importance.
机译:我们通过将33种繁殖网站与巢穴内的小(巢树和植被结构内的植被结构中的40个非繁殖部位进行比较,确定北羊毛饼(Accipiter Gentilis)的繁殖站选择。巢中500米半径范围内的景观结构在日本神奈川县城市化地区。 Goshawks主要选择日本雪松(Cryptomeria japonica)树木,直径超过50厘米的直径(dbh),作为巢树。避免了小于35厘米DBH的树。我们使用单变量的逻辑回归来评估嵌套区域的植被结构。在小规模中,巢图中的树冠树更大,更高,具有更多的顶篷覆盖,而不是非筑巢地块,巢穴远离人类居住。此外,巢图具有比非巢图更少的林下树木。在多变量逻辑回归中,冠层树木的DBH,林下树的数量和与人类居住的距离的重要性最高。在大规模的范围内,巢穴绘图占森林面积的比例更大,较小的内置面积比例,面对开放的土地森林边缘,以及更多森林边缘面向PCDR(公园,墓地,发达的土地,休闲场和小规模的小规模区域& 0.01 km(2)在&amp的矩阵中; = 30%的住宅区)。在多变量模型中,面向开放土地的森林边缘的长度和内置区域的百分比具有最高的重要性。

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