dynamicSDM : An R package for species geographical distribution and abundance modelling at high spatiotemporal resolution
dynamicSDM : An R package for species geographical distribution and abundance modelling at high spatiotemporal resolution
复制标题
DynamicSDM：用于高时空分辨率下物种地理分布和丰度建模的 R 包
DOI：
10.1111/2041-210x.14101
复制
发表时间：
2023
影响因子：
6.6
通讯作者：
Dobson R
中科院分区：
文献类型：
--
作者：
Dobson R
物种分布模型（SDM）被广泛应用于了解物种地理分布和丰度格局的变化。然而，现有的SDM工具本质上是静态的，不足以模拟由动态环境条件驱动的物种分布。dynamicsdm提供了在关键SDM阶段明确考虑时间维度的新工具，包括以下功能：(a)根据空间和时间质量清理和过滤物种发生记录；(b)通过空间和时间生成伪缺席记录；(c)提取时空缓冲的解释变量；(d)拟合SDMs，同时考虑时间偏差和自相关；(e)以高时空分辨率预测年际和年际地理分布和丰度。包功能的设计是：灵活的针对特定的研究物种；与其他SDM工具兼容；利用谷歌Earth Engine和谷歌Drive，降低计算能力和存储需求。我们以非洲南部的一种游牧鸟类——红嘴queleaaquelea quelea为例来说明动力学sdm的功能。由于动态sdm函数具有灵活性和易于应用的特点，我们建议这些工具可以很容易地应用于全球其他分类群和系统。
Species distribution models (SDM) are widely applied to understand changing species geographical distribution and abundance patterns. However, existing SDM tools are inherently static and inadequate for modelling species distributions that are driven by dynamic environmental conditions.dynamicSDMprovides novel tools that explicitly consider the temporal dimension at key SDM stages, including functions for: (a) Cleaning and filtering species occurrence records by spatial and temporal qualities; (b) Generating pseudo‐absence records through space and time; (c) Extracting spatiotemporally buffered explanatory variables; (d) Fitting SDMs whilst accounting for temporal biases and autocorrelation and (e) Projecting intra‐ and inter‐ annual geographical distributions and abundances at high spatiotemporal resolution.Package functions have been designed to be: flexible for targeting specific study species; compatible with other SDM tools; and, by utilising Google Earth Engine and Google Drive, to have low computing power and storage needs. We illustratedynamicSDMfunctions with an example of a nomadic bird in southern Africa, the red‐billed queleaQuelea quelea.AsdynamicSDMfunctions are flexible and easily applied, we suggest that these tools could be readily applied to other taxa and systems globally.