首页> 外文期刊>Rangeland Ecology & Management >Comparing ecological site descriptions to habitat characteristics influencing greater sage-grouse nest site occurrence and success.
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Comparing ecological site descriptions to habitat characteristics influencing greater sage-grouse nest site occurrence and success.

机译:将生态场所描述与栖息地特征进行比较,以影响更多的鼠尾草巢穴发生和成功。

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We used 119 greater sage-grouse (Centrocercus urophasianus) nests located in the Powder River Basin of northeastern Wyoming during 2004-2007 to assess the ability of US Department of Agriculture-Natural Resource Conservation Service (USDA-NRCS) ecological site descriptions (ESDs) to predict nest occurrence and success. We used nesting data from a regional study in the Powder River Basin that documented effects of local and landscape scale habitat characteristics on nest occurrence and success. We compared ESD metrics to these predictive local and landscape habitat variables where NRCS ESD field surveys overlapped our regional nest data set. We specifically asked three questions: (1) Are ESDs useful in predicting sage-grouse nest site occurrence and success as a univariate explanatory variable? (2) Can ESD information refine predictions of local scale nest site occurrence and success models? (3) Can ESD information refine landscape scale nest site occurrence models by serving as a surrogate for local scale information that cannot be mapped in a geographic information system (GIS)? Our results demonstrated that all models using ESD information were within +or-2 Akaike's Information Criterion points of a constant only model (i.e., null model) for local-scale data, or a baseline model where local- and landscape-scale habitat metrics were held constant while allowing ESD models to compete for remaining variation. No ESD metrics were statistically significant at the 95% level (P<0.05), although some were significant at the 80-90% level (P=0.09-0.14). Our study does not support the use of ESDs to predict habitat use or base sage-grouse management decisions in the Powder River Basin, but in some instances the refutation was weak. Local and landscape based habitat metrics showed high discrimination between null models with highly significant relationships on the subset data.
机译:在2004-2007年间,我们使用了119个位于怀俄明州东北部粉河盆地的鼠尾草( Centrocercus urophasianus )巢来评估美国农业部自然资源保护局(USDA-NRCS)的能力。 )生态位点描述(ESD),以预测巢的发生和成功。我们使用了粉末河盆地地区研究的嵌套数据,该数据记录了局部和景观尺度栖息地特征对巢发生和成功的影响。我们将ESD指标与这些可预测的局部和景观栖息地变量进行了比较,其中NRCS ESD实地调查与我们的区域巢穴数据集重叠。我们专门问了三个问题:(1)ESD是否可以作为单变量解释变量来预测鼠尾草巢穴的发生和成功? (2)ESD信息能否完善局部规模巢穴发生和成功模型的预测? (3)ESD信息能否通过替代无法在地理信息系统(GIS)中映射的局部尺度信息来完善景观尺度巢穴发生模型?我们的结果表明,所有使用ESD信息的模型都在Akaike信息准则的+ or-2范围内,该准则仅用于局部数据的恒定模型(即null模型),或者是包含局部和景观尺度生境度量标准的基线模型保持不变,同时允许ESD模型竞争剩余的变化。在95%的水平( P <0.05)上,没有ESD度量具有统计学显着性,尽管在80-90%的水平上( P = 0.09-0.14)有显着性。我们的研究不支持使用ESD来预测粉河流域的生境使用或基本鼠尾草管理决策,但在某些情况下,反驳很弱。基于局部和景观的栖息地指标显示,在子集数据上具有高度显着关系的空模型之间存在高度区分。

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