California steelhead abundance and environmental conditions timeseries

Weather extremes, such as drought, are predicted to be a strong determinant of species persistence under climate change. Yet predictions often fail to consider that variation in streamflow responses, variation in population dynamics, or adaptations to drought could buffer species against extremes. In this study we examined the responses of eight California (USA) steelhead populations to a severe drought from 2012 to 2016. We observed that streamflows were highly synchronous across the region in all seasons and did not appear to buffer drought impacts. Population dynamics were variable across the region and did appear to buffer the region from drought impacts. Some populations had very low productivity for four years associated with the drought, while others had slightly below-average productivity for only two years. Population synchrony was associated with spring-smolt flow, temperature and drought over time, but was not associated with winter-spawner or summer-juvenile conditions, sugg..., Data were collected from a variety of sources. See Ohms et al. 2024 for data source details., , # California steelhead abundance and environmental covariates

[https://doi.org/10.7291/D19975](https://doi.org/10.7291/D19975)

**The data is contained in two .xlsx files: EnvironmenalCovariates.xlsx and SpawnerCounts.xlsx.**

EnvironmenalCovariates.xlsx contains all of the environmental covariate data we used in the analysis.

All parameters, units, and original data sources are described in Ohms et al. 2024.

There are no missing data in this file. NA values in the month field for \"pinksalmon_Asia\"*, \"*pinksalmon_NorthPacific\" and \"pinksalmon_NorthAmerica\" are present because these are annual data that are not associated with a month.

SpawnerCounts.csv contains the estimated number of spawners in a given population by year.

Years with missing data are excluded from the dataset.

**SpawnerCounts.xlsx**

***Fields***: Year, Total, PopName, CountType

Year: the primary year in which fish returned (i.e., were counted). For example, fish returning in winter 2018/2019 have a year assig...

极端天气事件（如干旱）被预测为气候变化背景下物种存续的关键决定因素。然而现有预测往往未考虑径流响应差异、种群动态变化或对干旱的适应性，或可缓冲物种面临极端事件时的影响。本研究针对2012至2016年的严重干旱，分析了美国加利福尼亚州的8个钢头鳟种群的响应。我们观测到，该区域各季节的径流均呈现高度同步性，似乎无法缓冲干旱的影响；而区域内种群动态存在显著差异，确实能够缓解干旱带来的冲击。部分种群在干旱持续的4年间生产力极低，而另一些种群仅在2年内生产力略低于平均水平。种群同步性与春季降海幼鲑流量、水温及随时间变化的干旱程度相关，但与冬季产卵亲体或夏季幼体生存条件无关联，相关推论暂未完整表述。数据来源于多种渠道，具体数据源细节参见Ohms等人2024年的研究。

# 加利福尼亚州钢头鳟种群丰度与环境协变量
https://doi.org/10.7291/D19975

本数据集包含两个.xlsx文件：EnvironmenalCovariates.xlsx与SpawnerCounts.xlsx。

EnvironmenalCovariates.xlsx包含本研究分析中使用的全部环境协变量数据。所有参数、单位及原始数据源的详细信息均见于Ohms等人2024年的研究。该文件无缺失数据；其中"pinksalmon_Asia"、"pinksalmon_NorthPacific"及"pinksalmon_NorthAmerica"的月份字段存在NA值，原因在于这些数据为年度数据，未关联具体月份。

SpawnerCounts.csv包含各研究种群在对应年份的估算产卵亲体数量。存在数据缺失的年份已从数据集中排除。

**SpawnerCounts.xlsx**
***字段说明***：Year, Total, PopName, CountType
Year：鱼类洄游（即被计数）的主要年份。例如，2018/2019年冬季洄游的鱼类将被归为该年度。