Mapping multiscale breeding bird species distributions across the United States and evaluating their conservation applications

IF 4.3 2区 环境科学与生态学 Q1 ECOLOGY
Kathleen A. Carroll, Anna M. Pidgeon, Paul R. Elsen, Laura S. Farwell, David Gudex-Cross, Benjamin Zuckerberg, Volker C. Radeloff
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引用次数: 0

Abstract

Species distribution models are vital to management decisions that require understanding habitat use patterns, particularly for species of conservation concern. However, the production of distribution maps for individual species is often hampered by data scarcity, and existing species maps are rarely spatially validated due to limited occurrence data. Furthermore, community-level maps based on stacked species distribution models lack important community assemblage information (e.g., competitive exclusion) relevant to conservation. Thus, multispecies, guild, or community models are often used in conservation practice instead. To address these limitations, we aimed to generate fine-scale, spatially continuous, nationwide maps for species represented in the North American Breeding Bird Survey (BBS) between 1992 and 2019. We developed ensemble models for each species at three spatial resolutions—0.5, 2.5, and 5 km—across the conterminous United States. We also compared species richness patterns from stacked single-species models with those of 19 functional guilds developed using the same data to assess the similarity between predictions. We successfully modeled 192 bird species at 5-km resolution, 160 species at 2.5-km resolution, and 80 species at 0.5-km resolution. However, the species we could model represent only 28%–56% of species found in the conterminous US BBSs across resolutions owing to data limitations. We found that stacked maps and guild maps generally had high correlations across resolutions (median = 84%), but spatial agreement varied regionally by resolution and was most pronounced between the East and West at the 5-km resolution. The spatial differences between our stacked maps and guild maps illustrate the importance of spatial validation in conservation planning. Overall, our species maps are useful for single-species conservation and can support fine-scale decision-making across the United States and support community-level conservation when used in tandem with guild maps. However, there remain data scarcity issues for many species of conservation concern when using the BBS for single-species models.

Abstract Image

绘制全美多尺度繁殖鸟类物种分布图并评估其保护应用
物种分布模型对于需要了解栖息地利用模式的管理决策至关重要,特别是对于受保护的物种。然而,单个物种分布图的绘制往往受到数据匮乏的阻碍,而且由于出现数据有限,现有的物种分布图很少经过空间验证。此外,基于堆叠物种分布模型的群落级地图缺乏与保护相关的重要群落组合信息(如竞争排斥)。因此,在保护实践中通常使用多物种、行业或群落模型来代替。为了解决这些局限性,我们的目标是为 1992-2019 年间北美繁殖鸟类调查(BBS)中的物种生成精细尺度、空间连续的全国地图。我们为每个物种开发了美国大陆地区 0.5、2.5 和 5 千米三种空间分辨率的集合模型。我们还将单物种叠加模型的物种丰富度模式与使用相同数据开发的 19 个功能行会的物种丰富度模式进行了比较,以评估预测结果之间的相似性。我们在 5 公里分辨率下成功模拟了 192 种鸟类,在 2.5 公里分辨率下成功模拟了 160 种鸟类,在 0.5 公里分辨率下成功模拟了 80 种鸟类。然而,由于数据的限制,我们能够建模的物种仅占美国本土 BBS 调查中不同分辨率下发现的物种的 28-56%。我们发现堆叠地图和行业地图在不同分辨率下一般具有较高的相关性(中位数 = 84%),但不同分辨率下的空间一致性因地区而异,在 5 千米分辨率下,东西部之间的空间一致性最为明显。我们的叠加地图和行业地图之间的空间差异说明了空间验证在保护规划中的重要性。总体而言,我们的物种地图对单一物种保护非常有用,可支持全美范围内的精细决策,与行业分类地图结合使用时还可支持群落级保护。然而,在使用 BBS 建立单一物种模型时,许多受保护物种仍存在数据稀缺的问题。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Ecological Applications
Ecological Applications 环境科学-环境科学
CiteScore
9.50
自引率
2.00%
发文量
268
审稿时长
6 months
期刊介绍: The pages of Ecological Applications are open to research and discussion papers that integrate ecological science and concepts with their application and implications. Of special interest are papers that develop the basic scientific principles on which environmental decision-making should rest, and those that discuss the application of ecological concepts to environmental problem solving, policy, and management. Papers that deal explicitly with policy matters are welcome. Interdisciplinary approaches are encouraged, as are short communications on emerging environmental challenges.
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