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Enhancing species distribution modeling by characterizing predator-prey interactions

机译:通过描述捕食者与猎物之间的相互作用来增强物种分布模型

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摘要

Niche theory is a well-established concept integrating a diverse array of environmental variables and multispecies interactions used to describe species geographic distribution. It is now customary to employ species distribution models (SDMs) that use environmental variables in conjunction with species location information to characterize species’ niches and map their geographic ranges. The challenge remains, however, to account for the biotic interactions of species with other community members on which they depend. We show here how to connect species spatial distribution and their dependence with other species by modeling spatially explicit predator-prey interactions, which we call a trophic interaction distribution model (TIDM). To develop the principles, we capitalized on data from Canada lynx (Lynx canadensis) reintroduced into Colorado. Spatial location information for lynx obtained from telemetry was used in conjunction with environmental data to construct an SDM. The spatial locations of lynx-snowshoe hare encounters obtained from snow-tracking in conjunction with environmental data were used to construct a TIDM. The environmental conditions associated with lynx locations and lynx-hare encounters identified through both SDM and TIDM revealed an initial transient phase in habitat use that settled into a steady state. Nevertheless, despite the potential for the SDM to broadly encompass all lynx hunting and nonhunting spatial locations, the spatial extents of the SDM and TIDM differed; about 40% of important lynx-snowshoe hare locations identified in the TIDM were not identified in the lynx-only SDM. Our results encourage greater effort to quantify spatial locations of trophic interactions among species in a community and the associated environmental conditions when attempting to construct models aimed at projecting current and future species geographic distributions.
机译:生态位理论是一个公认的概念,它融合了用于描述物种地理分布的各种环境变量和多物种相互作用。现在习惯采用物种分布模型(SDM),该模型将环境变量与物种位置信息结合使用来表征物种的生态位并绘制其地理范围。然而,要解决物种与它们所依赖的其他社区成员之间的生物相互作用仍然是挑战。我们在这里展示如何通过对空间上明确的捕食者与被捕食者之间的相互作用进行建模,从而将物种的空间分布及其对其他物种的依赖性联系起来,我们称之为营养相互作用分布模型(TIDM)。为了开发该原理,我们利用了重新引入科罗拉多州的加拿大(Lynx canadensis)的数据。从遥测获得的山猫的空间位置信息与环境数据一起用于构建SDM。从积雪跟踪获得的山猫-雪鞋野兔的空间位置结合环境数据被用于构建TIDM。通过SDM和TIDM识别出的与天猫座位置和天猫座野兔相遇相关的环境条件表明,栖息地使用过程已进入一个稳定的初始过渡阶段。尽管如此,尽管SDM可能广泛地涵盖所有天猫狩猎和非狩猎空间位置,但SDM和TIDM的空间范围却有所不同。 TIDM中确定的大约40%的重要天猫-雪兔位置未在仅天猫的SDM中识别。我们的结果鼓励人们在尝试构建旨在预测当前和未来物种地理分布的模型时,更加努力地量化社区中物种之间的营养相互作用的空间位置以及相关的环境条件。

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