Russian olive distribution and invasion dynamics along the Powder River, Montana and Wyoming, USA

The invasive shrub, Russian olive (Elaeagnus augustifolia), is widely established within riparian areas across the western United States (U.S.). Limited information on its distribution and invasion dynamics in northern regions has hampered understanding and management efforts. Given this lack of spatial and ecological information we worked with local stakeholders and developed two main objectives: 1) map the distribution of Russian olive along the Powder River (Montana and Wyoming, U.S.) with field data and remote sensing; and 2) relate that distribution to environmental variables to understand its habitat suitability and community/invasion dynamics. In the study watershed, field data showed Russian olive has reached near equal canopy cover (18.3%) to native plains cottonwood (Populus deltoides; 19.1%), with higher cover closer to the channel and over a broader range of elevations. At the basin scale, we modeled Russian olive distribution using field surveys, ocular sampling of aerial i..., Model Training Data
To predict Russian olive percent cover across the Powder River Basin, we created a spectral detection model for the year 2020. The model was trained using two different data collection methods: (1) field data and (2) ocular samples from NAIP 2019 aerial imagery. Field data were collected in June 2021 (Figure 1A). Ten meter radius plots were placed on transects (25 on the east bank and 17 on the west bank) perpendicular to the river and about 50 m apart, for a total of 276 plots (Figure 1A). Within each plot, vegetation cover was estimated for each woody species, including Russian olive, plains cottonwood (Populus deltoides), and tamarisk (Tamarix ramosissima), and height of the tallest woody plant was measured using a survey rod or clinometer.  Of the 276 field data plots, 185 contained Russian olive.
To increase the dataset size and spatial representation, we conducted randomized ocular image sampling using NAIP 2019 true and false color imagery following a similar..., , # Modeling the distribution of Russian olive and invasion dynamics: a case study from the Powder River, USA

[https://doi.org/10.5061/dryad.p8cz8w9z8](https://doi.org/10.5061/dryad.p8cz8w9z8)

Four datasets are included here. The first is field sampled plot data from the Powder River, used as training data in the Russian olive detection model. Second, is the ocular sampling data also included as training data in the detection model. Third, is the raster output of the final detection model for Russian olive in the study area. And finally, there is a shapefile of the field plot cover data with physiographic and grouping analysis in the attribute table (NAD_1983_UTM_Zone_13N).

## Description of the data and file structure

The field data has its own metadata sheet that has a table describing each species name abbreviation. Plots were placed on transects that ran perpendicular to the river to capture topographic gradient and temporal shifts of river over time. Plots were 10 m radius; cover...

入侵性灌木俄罗斯橄榄（Russian olive，*Elaeagnus augustifolia*）已在美国西部的河岸带区域广泛定植。目前针对其在北部区域的分布与入侵动态的相关研究较为匮乏，这极大阻碍了对该物种的认知与管理工作。鉴于此类空间与生态信息的缺失，我们联合当地利益相关方确立了两项核心研究目标：其一，借助野外调查数据与遥感技术，绘制美国蒙大拿州与怀俄明州境内鲍德河沿岸的俄罗斯橄榄分布情况；其二，将该分布与环境变量相关联，以解析其生境适宜性与群落/入侵动态。在本研究流域内，野外调查数据显示，俄罗斯橄榄的冠层盖度（18.3%）已接近原生树种平原杨（Populus deltoides；19.1%），且在靠近河道的区域以及更广的海拔范围内均呈现出更高的盖度。在流域尺度上，我们利用野外调查数据对俄罗斯橄榄的分布进行了建模，相关内容详见……（原文截断）

## 模型训练数据
为预测鲍德河流域内俄罗斯橄榄的冠层盖度，我们构建了适用于2020年的光谱检测模型。该模型采用两种不同的数据采集方式进行训练：（1）野外实测数据；（2）2019年NAIP航空影像的目视解译样本。野外数据采集于2021年6月（图1A）。我们在垂直于河道、间距约50米的样带上设置了半径为10米的样方（东岸25个，西岸17个），总计276个样方（图1A）。在每个样方内，我们对包括俄罗斯橄榄、平原杨（Populus deltoides）以及柽柳（Tamarix ramosissima）在内的各木本物种的盖度进行估算，并利用测杆或测斜仪测量样方内最高木本植物的高度。在276个野外样方中，有185个样方内分布有俄罗斯橄榄。

为扩充数据集规模与空间代表性，我们基于2019年NAIP真彩色与假彩色航空影像开展了随机目视图像采样，相关方案详见……

# 俄罗斯橄榄分布与入侵动态建模：以美国鲍德河流域为例
https://doi.org/10.5061/dryad.p8cz8w9z8

本数据集共包含四部分内容：其一为鲍德河流域的野外样方采样数据，用于俄罗斯橄榄检测模型的训练；其二为同样作为检测模型训练数据的目视解译采样数据；其三为研究区内俄罗斯橄榄最终检测模型的栅格输出结果；最后一部分为带有属性表的野外样方盖度数据形状文件，该属性表包含地形地貌与分组分析信息（坐标系为NAD_1983_UTM_Zone_13N）。

## 数据与文件结构说明
野外数据附带独立的元数据表，其中包含各物种种名缩写的说明表格。样方设置于垂直于河道的样带上，以捕捉地形梯度与河道随时间的动态变化。样方半径为10米；盖度……（原文截断）