Climate-associated variation in the within-season dynamics of juvenile ticks in California
Data files
Oct 15, 2024 version files 183.46 KB
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drag_climate_lifestage.csv
14.76 KB
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drag_climate_nolifestage.csv
9.09 KB
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liz_climate_lifestage.csv
103.45 KB
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liz_climate_nolifestage.csv
49.10 KB
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README.md
7.07 KB
Abstract
Changing climate has driven shifts in species phenology, influencing a range of ecological interactions from plant-pollinator to consumer-resource. Phenological changes in host-parasite systems have implications for pathogen transmission dynamics. The seasonal timing, or phenology, of peak larval and nymphal tick abundance may be an important driver of tick-borne pathogen prevalence through its effect on cohort-to-cohort transmission. Tick phenology is tightly linked to climatic factors such as temperature and humidity. Thus, variation in climate within and across regions could lead to differences in phenological patterns. These differences may in turn explain regional variation in tick-borne pathogen prevalence of the Lyme disease-causing Borrelia bacteria in vector populations in the United States (US). For example, one factor thought to contribute to high Lyme disease prevalence in ticks in the eastern US is the asynchronous phenology of ticks in that region, where potentially infected nymphal ticks emerge earlier in the season than uninfected larval ticks. This allows the infected nymphal ticks to potentially transmit the pathogen to hosts that are subsequently fed upon by the next generation of larval ticks. In contrast, in the far western US where Lyme disease prevalence is generally much lower, tick phenology is thought to be more synchronous with uninfected larvae emerging slightly before, or at the same time as, potentially infected nymphs, reducing horizontal transmission potential. Yet sampling larval and nymphal ticks, and their host-feeding phenology, both across large spatial gradients and through time, is challenging, which hampers attempts to conduct detailed studies of phenology to link it with pathogen prevalence. In this study, we demonstrate through intensive within-season sampling that the relative abundance and seasonality of larval and nymphal ticks is highly variable along a latitudinal gradient and likely reflects the variable climate in the far western US with potential consequences for pathogen transmission. We find that feeding patterns were variable and synchronous feeding of juvenile ticks on key blood meal hosts was associated with mean temperature. By characterizing within-season phenological patterns of the Lyme disease vector throughout a climatically heterogeneous region, we can begin to identify areas with high potential for tick-borne disease risk and underlying mechanisms at a finer scale.
README: Climate-associated variation in the within-season dynamics of juvenile ticks in California
https://doi.org/10.5061/dryad.0p2ngf29d
Description of the data and file structure
This dataset was collected by a single individual from 11 field stations in California, USA between January through June in 2021. Field data collected includes questing ticks (i.e. collected via drag cloth method) and attached ticks (i.e. collected via surveillance of Sceloporous occidentalis lizards and removing attached ticks). Ticks have been identified to species and life stage in the laboratory with a dichotomous key. Only *Ixodes pacificus *ticks were used for this particular manuscript. Remotely sensed climate data comes from the Parameter-elevation Regression on Independent Slopes Model (PRISM Climate Group, Oregon State University) and can be freely accessed online (https://prism.oregonstate.edu).
Files and variables
File: drag_climate_lifestage.csv
Description: Ticks collected via drag cloth sampling merged with remotely sensed climate data. This format is easier for plotting.
Variables
- reserve: a unique site in the University of California Natural Reserve System
- date: date of collection
- life_stage: life stage of ticks (larva, nymph, adult)
- count: total ticks collected during a sampling period (reserve-plot-month)
- month_numeric: calendar months coded 1-12
- month_name: calendar months name
- ppt: precipitation (mm)
- tmax: maximum temperature (C) at reserve-plot-month (~4 k resolution)
- tmean: mean temperature (C) at reserve-plot-month (~4 k resolution)
- tmin: minimum temperature (C) at reserve-plot-month (~4 k resolution)
- vpdmax: maximum vapor pressure deficit (kPA) at reserve-plot-month (~4 k resolution)
- vpdmin: minimum vapor pressure deficit (kPA) at reserve-plot-month (~4 k resolution)
- ppt_month: total precipitation (mm) per month at reserve-plot-month (~4 k resolution)
- ppt_prior_month: total precipitation (mm) of previous month at reserve-plot-month (~4 k resolution)
- region: latitudinal region gradient (northern, central, southern)
- location: climatic location gradient (coastal, inland)
File: drag_climate_nolifestage.csv
Description: Ticks collected via drag cloth sampling merged with remotely sensed climate data. This format is easier for analysis.
Variables
- reserve: a unique site in the University of California Natural Reserve System
- date: date of collection
- count: total ticks collected during a sampling period (reserve-plot-month)
- month_numeric: calendar months coded 1-12
- month_name: calendar months name
- ppt: precipitation (mm)
- tmax: maximum temperature (C) at reserve-plot-month (~4 k resolution)
- tmean: mean temperature (C) at reserve-plot-month (~4 k resolution)
- tmin: minimum temperature (C) at reserve-plot-month (~4 k resolution)
- vpdmax: maximum vapor pressure deficit (kPA) at reserve-plot-month (~4 k resolution)
- vpdmin: minimum vapor pressure deficit (kPA) at reserve-plot-month (~4 k resolution)
- ppt_month: total precipitation (mm) per month at reserve-plot-month (~4 k resolution)
- ppt_prior_month: total precipitation (mm) of previous month at reserve-plot-month (~4 k resolution)
- region: latitudinal region gradient (northern, central, southern)
- location: climatic location gradient (coastal, inland)
File: liz_climate_nolifestage.csv
Description: Ticks collected via lizard surveillance where visible ticks were removed and labeled 'lizard_ticks' and merged with remotely sensed climate data. This format is easier for plotting.
Variables
- reserve: a unique site in the University of California Natural Reserve System
- month_numeric: calendar months coded 1-12
- lizard_num: individual lizard identifier collected at reserve-plot-month (up to 15 lizards were sampled per sampling)
- count: total attached ticks per lizard
- month_name: calendar months name
- date: date of collection
- ppt: precipitation (mm)
- tmax: maximum temperature (C) at reserve-plot-month (~4 k resolution)
- tmean: mean temperature (C) at reserve-plot-month (~4 k resolution)
- tmin: minimum temperature (C) at reserve-plot-month (~4 k resolution)
- vpdmax: maximum vapor pressure deficit (kPA) at reserve-plot-month (~4 k resolution)
- vpdmin: minimum vapor pressure deficit (kPA) at reserve-plot-month (~4 k resolution)
- ppt_month: total precipitation (mm) per month at reserve-plot-month (~4 k resolution)
- ppt_prior_month: total precipitation (mm) of previous month at reserve-plot-month (~4 k resolution)
- region: latitudinal region gradient (northern, central, southern)
- location: climatic location gradient (coastal, inland)
File: liz_climate_lifestage.csv
Description: Ticks collected via lizard surveillance where visible ticks were removed and labeled 'lizard_ticks' and merged with remotely sensed climate data. This format is easier for analysis.
Variables
- reserve: a unique site in the University of California Natural Reserve System
- date: collection date
- lizard_num: individual lizard identifier collected at reserve-plot-month (up to 15 lizards were sampled per sampling)
- count: total attached ticks per lizard
- lifestage: life stage of ticks (larva, nymph, adult)
- month_numeric: calendar months coded 1-12
- month_name: calendar months name
- ppt: precipitation (mm)
- tmax: maximum temperature (C) at reserve-plot-month (~4 k resolution)
- tmean: mean temperature (C) at reserve-plot-month (~4 k resolution)
- tmin: minimum temperature (C) at reserve-plot-month (~4 k resolution)
- vpdmax: maximum vapor pressure deficit (kPA) at reserve-plot-month (~4 k resolution)
- vpdmin: minimum vapor pressure deficit (kPA) at reserve-plot-month (~4 k resolution)
- ppt_month: total precipitation (mm) per month at reserve-plot-month (~4 k resolution)
- ppt_prior_month: total precipitation (mm) of previous month at reserve-plot-month (~4 k resolution)
- region: latitudinal region gradient (northern, central, southern)
- location: climatic location gradient (coastal, inland)
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Code/software
Data were cleaned and analyzed in RStudio version 4.1.0
The following R packages were used for cleaning and analysis: ggplot2, lme4, MASS, prism, tidyverse, psych.
Access information
Other publicly accessible locations of the data:
- data and code to run analyses and make figures can be found: https://github.com/sbsambado/UCNRS_Phenology
Data was derived from the following sources:
- Climate data for each reserve was accessed from the Parameter-elevation Regression on Independent Slopes Model (PRISM Climate Group, Oregon State University, https://prism.oregonstate.edu), which provides estimates of primary climate elements such as mean temperature (tmean, °C), precipitation (ppt, mm), and maximum vapor pressure deficit (vpdmax, kPA)
Methods
This dataset was collected by a single individual from 11 field stations in California, USA between January through June in 2021. Field data collected includes questing ticks (i.e. collected via drag cloth method) and attached ticks (i.e. collected via surveillance of Sceloporous occidentalis lizards and removing attached ticks). Ticks have been identified to species and life stage in the laborartory with a dichotomous key. Only Ixodes pacificus ticks were used for this particular manuscript. Remotely sensed climate data comes from the Parameter-elevation Regression on Independent Slopes Model (PRISM Climate Group, Oregon State University) and can be freely accessed online (https://prism.oregonstate.edu).