From models to management: Implementing the climate-change refugia conservation cycle in national parks of the northeastern United States
Data files
Jan 16, 2026 version files 230.86 KB
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Nadeau_et_al-2025-CodeAndData.zip
226.12 KB
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README.md
4.73 KB
Abstract
Managing climate-change refugia is a commonly recommended strategy for conserving biodiversity. However, few efforts have moved beyond the modeling phase of refugia science to management. Here, we present two case studies that move beyond modeling to testing models and management. In the first case study, we model refugia for two plant species (three-toothed cinquefoil [Sibbaldia tridentata] and black crowberry [Empetrum nigrum]) in Acadia National Park, Maine, United States, and use greenhouse experiments, common-garden experiments, and participatory science to evaluate the output of those models. Our results suggest that three-toothed cinquefoil growth and survival is reduced under increased temperatures as models predict. However, other variables (e.g., soil moisture and salinity) might also be important to modeling and managing refugia for both species. National Park Service staff and partners have been directing restoration for both species to refugia, but are also exploring other adaptation strategies. In the second case study, we demonstrate that existing prioritization processes for habitat restoration in national parks of the northeastern United States rarely incorporate refugia for two indicator species: Jefferson salamander (Ambystoma jeffersonianum) and grasshopper sparrow (Ammodramus savannarum). Our work demonstrates that moving beyond modeling can improve models and lead to new management insights.
Dataset DOI: 10.5061/dryad.4qrfj6qqj
Description of the data and file structure
The data contains code and csv files associated with:
- A common garden experiment used to evaluate the sensitivity of three-toothed cinquefoil to high temperature.
- A greenhouse experiment used to evaluate the sensitivity of three-toothed cinquefoil to high temperature under different water regimes.
- An observational study evaluating whether three-toothed cinquefoil and black crowberry perform different in and out of predicted climate change refugia.
Files and variables
File: Nadeau_et_al-2025-CodeAndData.zip
CommonGarden/code
analyze_garden_data.R: R code used to format the data, perform statistical analyses, and produce the figures presented in the paper for the three-toothed cinquefoil common garden experiment.
CommonGarden/data
garden_cover_data.csv: measurements of percent cover for three-tooth cinquefoil in 3 common gardens from 2021 to 2024
- garden: garden where the plants were grown
- plot: unique identifier for populations in each garden
- block: unique identifier for the date plants were planted
- year: year cover was measured
- cover: percent cover of three-toothed cinquefoil
garden_light_data.csv: light measurements in each garden
- date: date of measurement
- garden: garden where the plants were grown
- mon: month of measurement
- year: year of measurement
- lux.mean: average daily light to value (lux)
garden_soil_moisture_data.csv: soil moisture measurements in each garden
- garden: garden where the plants were grown
- date: date of measurement
- year: year of measurement
- mon: month of measurement
- vwc_soil.mean: average daily volumetric water content
garden_temperature_data.csv: temperature in measurements in each garden
- garden: garden where the plants were grown
- date: date of measurement
- year: year of measurement
- mon: month of measurement
- tem_air.max: maximum daily air temperature (°C)
Greenhouse/code
analyze_greenhouse_data: R code used to format the data, perform statistical analyses, and produce the figures presented in the paper for the three-toothed cinquefoil
Greenhouse/data
greenhouse_cadillac_precip_data.csv: precipitation data from the climate station located on Cadillac Mountain, in Acadia National Park, Maine, USA.
- date: date of measurement
- precip_cm: total daily precipitation (cm)
- week: week of the measurement
- mon: month of measurement
- year: year of measurement
greenhouse_plant_data.csv: weekly plant measurements
- plant_id: unique measurement for each pot
- source: location where the plant was collected
- trt: irrigation treatment
- date: date plant was measured
- day: day in the experiment when plant was measured, negative days are the acclamation period
- alive: whether the plant was considered alive (1) or dead (0)
- num_green_leaves: the number of green leaves on the plant
greenhouse_temperature_data.csv: temperature measurements in the greenhouse during the experiment
- date_time: date and time of the measurement
- day: day in the experiment when plant was measured, negative days are the acclamation period
- temp_c: temperature in the greenhouse (°C)
Monitoring/code
analyze_monitoring_data.R: R code used to format the data, perform statistical analyses, and produce the figures presented in the paper for monitoring cinquefoil and crowberry in and out of refugia
Monitoring/data
monitiring_data.csv: monitoring data for cinquefoil and crowberry
- site.code: code for the site where measurements were taken
- survey.date: date measurements were taken
- year: your measurements were taken
- [sp].present: whether the focal species was present (1) or not (0)
- num.cells.[sp]: number of cells within a quadrat with focal species present
- num.cells.[so].flower: number of cells within a quadrat where focal species has flowers
- num.cells.[sp].fruit: number of cells within a quadrat where focal species has fruit
- num.cells.[sp].brleaves: number of cells within a quadrat where focal species has brown leaves
- site: site where measurements were taken
- refugia.[sp]: whether the site was a refugee for the focal species (1) or not (0)
- doy: the day of year that the measurements were taken
- prop.brown.[sp]: the proportion of cells containing the focal species that had brown leaves
- prop.fruit.crow: the proportion of cells containing crowberry that had fruit
- prop.flower.cinq: the proportion of cells containing cinquefoil that had flowers
Code/software
R Software Environment
