Integrating single-species management and landscape conservation using regional habitat occurrence models: the northern goshawk in the Southwest, USA
Integrating single-species management and landscape conservation using regional habitat occurrence models: the northern goshawk in the Southwest, USA
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DOI：
10.1007/s10980-014-0013-3
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发表时间：
2014-05-01
影响因子：
5.2
通讯作者：
Rundall, Jill M.
中科院分区：
文献类型：
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作者：
Dickson, Brett G.;Sisk, Thomas D.;Rundall, Jill M.
在评估土地管理目标和物种保护之间的关系时，保护规划者和土地管理者经常面临与规模有关的挑战。单个物种的保护通常涉及对栖息地的现场级分析，而土地管理则侧重于更大的空间范围。需要新的模式来更明确地将特定物种的保护与景观或区域尺度结合起来。我们以北苍鹰（Accipiter gentilis）为例来解决这一挑战，北苍鹰是一种环极地分布的森林猛禽，是美国西南部公共土地上森林管理激烈辩论的焦点。为了解决亚利桑那州北部22800公里(2)管理区苍鹰特有栖息地的保护问题，我们关注的是领土规模而不是单个巢穴。我们编制了一个17年的895个鸟巢的数据库来估计领地的位置。然后，我们在专家驱动、空间平衡和信息理论框架内使用多重逻辑回归估计了整个管理区域领土发生的可能性。我们的发生模型结合了来自USFS森林清查和分析图和高分辨率卫星图像的森林结构变量。结果表明，高的冠层容重、中等的冠层基高和低的乔木密度变化是领土发生的强预测因子。我们使用这些变量的模型平均参数估计来绘制和探索跨多个土地管辖区和生态次区域的领土分布模式。我们的迭代建模方法补充了该地区以前的人口统计研究。它还为在当前和未来的区域规划工作中整合物种保护和景观管理提供了一个强有力的框架。
Conservation planners and land managers are often confronted with scale-associated challenges when assessing the relationship between land management objectives and species conservation. Conservation of individual species typically involves site-level analyses of habitat, whereas land management focuses on larger spatial extents. New models are needed to more explicitly integrate species-specific conservation with landscape or regional scales. We address this challenge with an example using the northern goshawk (Accipiter gentilis), a forest raptor with circumpolar distribution that is the focus of intense debate regarding forest management on public lands in the southwestern USA. To address goshawk-specific habitat conservation across a management area of 22,800-km(2) in northern Arizona, we focused on the territory scale rather than individual nest sites. We compiled a 17-year database of 895 nest sites to estimate territory locations. We then estimated the likelihood of territory occurrence for the entire management area using multiple logistic regression within an expert-driven, spatially balanced, and information-theoretic framework. Our occurrence model incorporated forest structure variables that were derived from USFS Forest Inventory and Analysis plots and high-resolution satellite imagery. Results indicated that high canopy-bulk density, intermediate canopy-base heights, and low variation in tree density were strong predictors of territory occurrence. We used model-averaged parameter estimates for these variables to map and explore patterns of territory distribution across multiple land jurisdictions and ecological subregions. Our iterative modeling approach complements previous demographic studies in the region. It also provides a robust framework for integrating species conservation and landscape management in ongoing and future regional planning efforts.