Integrating citizen‐science and planned‐survey data improves species distribution estimates
Integrating citizen‐science and planned‐survey data improves species distribution estimates
复制标题
整合公民科学和计划调查数据可改善物种分布估计
DOI：
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发表时间：
2021
期刊：
影响因子：
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通讯作者：
G. Ferraz
中科院分区：
文献类型：
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作者：
Viviane Zulian;David A. W. Miller;G. Ferraz
绘制物种分布图是野生动物管理的一项至关重要但具有挑战性的要求。频繁需要对大片潜在栖息地进行采样增加了计划调查的成本，并奖励了机会性观察的积累。在本文中，我们将栖息地计数的计划调查数据与来自 eBird、WikiAves 和 Xeno-canto 公民科学平台的机会样本相结合，以绘制濒临灭绝的酒胸鹦鹉的地理范围。我们展示了基于数据集成的物种发生的估计和绘图，同时考虑了每个数据集的细节，包括观测技术和观测的不确定性。
Mapping species distributions is a crucial but challenging requirement of wildlife management. The frequent need to sample vast expanses of potential habitat increases the cost of planned surveys and rewards accumulation of opportunistic observations. In this paper, we integrate planned‐survey data from roost counts with opportunistic samples from eBird, WikiAves and Xeno‐canto citizen‐science platforms to map the geographic range of the endangered Vinaceous‐breasted Parrot. We demonstrate the estimation and mapping of species occurrence based on data integration while accounting for specifics of each dataset, including observation technique and uncertainty about the observations.
影响因子：
4.6
作者：
Johnston, Alison;Hochachka, Wesley M.;Fink, Daniel
通讯作者：
Fink, Daniel