Impact of climate on a host-hyperparasite interaction on Arabica coffee in its native range
Data files
Dec 27, 2023 version files 19.78 KB
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Coffee_leaf_rust_hyperparasite_climate_data.csv
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README.md
Abstract
Natural enemies of plant pathogens might play an important role in controlling plant disease levels in natural and agricultural systems. Yet, plant pathogen-natural enemy interactions might be sensitive to climatic changes. Understanding the relationship between climate, plant pathogens, and their natural enemies is thus important for developing climate-resilient, sustainable agriculture.
To this aim, we recorded shade cover, daily minimum and maximum temperature, relative humidity, coffee leaf rust, and its hyperparasite at 58 sites in southwestern Ethiopia during the dry and wet season for two years.
Coffee leaf rust severity was positively related to the maximum temperature. Hyperparasite severity was higher when the minimum temperature was low (i.e. in places with cold night temperatures). While canopy cover did not have a direct effect on rust severity, it reduced rust severity indirectly by lowering the maximum temperature. Canopy cover had a direct positive effect on the hyperparasite severity during one surveying period.
Synthesis and applications. Our findings highlight that coffee leaf rust and its hyperparasite are both affected by shade cover and temperature, but in different ways. On the one hand, these niche differences lead to the worrying prediction that levels of coffee leaf rust will increase, and its hyperparasite will decrease, with climate change. On the other hand, these niche differences between coffee leaf rust and its hyperparasite provide opportunities to develop strategies to manage the environment (such as shade cover and microclimate) in such a way that the rust is disfavored and the hyperparasite is favored.
README: Impact of climate on a host-hyperparasite interaction on Arabica coffee in its native range
https://doi.org/10.5061/dryad.zgmsbcck2
GENERAL INFORMATION
1. Title of Dataset: Impact of climate on a host-hyperparasite interaction on Arabica coffee in its native range
Ayalew, Biruk; Hylander, Kristoffer; Adugna, Girma; Zewdie, Beyene; Tack J.M, Ayco
2. Date of data collection: 2018–2020
3. Geographic location of data collection: Gomma and Gera districts, southwestern Ethiopia
4. Information about funding sources that supported the collection of the data: Swedish Research Council (2019-04493) and Bolin Centre for Climate Research
SHARING/ACCESS INFORMATION
1. Licenses/restrictions placed on the data: CC0 1.0 Universal (CC0 1.0) Public Domain
2. Links to other publicly accessible locations of the data: None
3. Links/relationships to ancillary data sets: None
4. Was the data derived from another source? No
5. Recommended citation for this dataset:
Ayalew, B., Hylander, K., Adugna, G., Zewdie, B., & Tack, A. J. M. (2023). Data from: Impact of climate on a host-hyperparasite interaction on Arabica coffee in its native range. Dryad Digital Repository, https://doi.org/10.5061/dryad.zgmsbcck2
DATA & FILE OVERVIEW
1. Number of variables: 29
2. Number of cases/rows: 58
3. Variable List:
- Site_ID: coffee farms (site) where data collected
- Elevation: the geocoordinates of study sites
- Canopy_cover (%): canopy cover
- Min_temp_Wet_season_2018: Wet season minimum temperature (°C) during 2018
- Max_temp_Wet_season_2018: Wet season maximum temperature (°C) during 2018
- RH_Wet_season_2018: Wet season relative humidity (%) during 2018
- Min_temp_Dry_season_2019: Dry season minimum temperature (°C) during 2019
- Max_temp_Dry_season_2019: Dry season maximum temperature (°C) during 2019
- RH_Dry_season_2019: Dry season relative humidity (%) during 2019
- Min_temp_Wet_season_2019: Wet season minimum temperature (°C) during 2019
- Max_temp_Wet_season_2019: Wet season maximum temperature (°C)during 2019
- RH_Wet_season_2019: Wet season relative humidity (%)during 2019
- Min_temp_Dry_season_2020: Dry season minimum temperature (°C)during 2020
- Max_temp_Dry_season_2020: Dry season maximum temperature (°C)during 2020
- RH_Dry_season_2020: Dry season relative humidity (%) during 2020
- CLR_Sev_Dry_Season_2018: Coffee leaf severity (%) during dry season 2018
- CLR_Sev_Wet_Season_2018: Coffee leaf severity (%) during wet season 2018
- CLR_Sev_Dry_Season_2019: Coffee leaf severity (%) during dry season 2019
- CLR_Sev_Wet_Season_2019: Coffee leaf severity (%) during wet season 2019
- CLR_Sev_Dry_Season_2020: Coffee leaf severity (%) during dry season 2020
- Hyper_to_rust_ratio_Dry_2018_Log: Hyperparasite-to-rust ratio (%) during dry season 2018 (log transformed)
- Hyper_to_rust_ratio_Wet_2018_Log: Hyperparasite-to-rust ratio (%) during wet season 2018 (log transformed)
- Hyper_to_rust_ratio_Dry_2019_Log: Hyperparasite-to-rust ratio (%) during dry season 2019 (log transformed)
- Hyper_to_rust_ratio_Wet_2019_Log: Hyperparasite-to-rust ratio (%) during wet season 2019 (log transformed)
- Hyper_Sev_Dry_Season_2018_Log: Hyperparasite severity (%) during dry season 2018 (log transformed)
- Hyper_Sev_Wet_Season_2018_Log: Hyperparasite severity (%) during wet season 2018 (log transformed)
- Hyper_Sev_Dry_Season_2019_Log: Hyperparasite severity (%) during dry season 2019 (log transformed)
- Hyper_Sev_Wet_Season_2019_Log: Hyperparasite severity (%) during wet season 2019 (log transformed)
- Hyper_Sev_Dry_Season_2020_Log: Hyperparasite severity (%) during dry season 2020 (log transformed)
4. Missing data codes: NA
5. Specialized formats or other abbreviations used: None
# For more information on the data set:
Contact: biruk.ayalew2@gmail.com
Methods
Usage Notes
These datasets were collected in Gomma and Gera districts in southwestern Ethiopia at 58 sites during the dry and rainy seasons (2018–2020).
Details for each dataset are provided in the README file.
Datasets included:
1) Microclimate variables
- Average daily minimum temperature (°C): for each year was calculated by averaging the minimum temperature for both the dry (November to February) and rainy (April to July) seasons.
- Average daily maximum temperature (°C): for each year was calculated by averaging the maximum temperature for both the dry (November to February) and rainy (April to July) seasons.
- Monthly average of the daily mean relative humidity (%): for each year was calculated by averaging the relative humidity for both the dry (November to February) and rainy (April to July) seasons.
2) Coffee leaf rust and its hyperparasite
- Coffee leaf rust severity (%): the percentage of rust on a per-leaf basis of all leaves for both the dry and rainy seasons.
- Hyperparasite-to-rust ratio (%): the average percentage of rust covered by the hyperparasite for both the dry and rainy seasons.
- Hyperparasite severity (%): the percentage of hyperparasite on a per-leaf basis of all leaves, irrespective of whether they had rust or not, both for the dry and rainy seasons.
3) Canopy cover (%): was assessed based on five canopy pictures taken above coffee height and analysed using ImageJ software as the percentage of black pixels. The average of the five canopy cover percentages was used as a canopy cover (%) per site.
4) Elevation (m.a.s.l): was measured using Garmin GPS at the center of each plot.