Climate change may make pine wilt disease more prevalent
收藏DataONE2024-09-24 更新2025-08-23 收录
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Pine wilt disease is one of the most severe and devastating diseases affecting pine forests worldwide, resulting in huge economic losses in many countries. The pinewood nematode, Bursaphelenchus xylophilus, is the causal agent of pine wilt disease and is obligately vectored by pine sawyer beetles, of the genus Monochamus. For the disease to be present, the habitat must be suitable for the pinewood nematode, and include at least one vector species, and at least one host species. To predict its potential distribution, a model must consider all three components. However, no comprehensive study has examined the influence of climatic suitability on the distribution of this 'biological complex'. This study addresses this gap by incorporating biotic interactions, specifically involving 13 vectors and 61 host plants, into projections based on the pinewood nematode model. We predicted the global potential distribution of pine wilt disease and compared it with the pinewood nematode model to highl..., , , # Climate change may make pine wilt disease more prevalent
**Data Description:**
The zip file **species_name.zip** contains the scientific names of the species used in the study. Within the folder, **hosts.csv** lists the scientific names of host species, **vectors.csv** lists the scientific names of vector species, and **pwn.csv** lists the scientific name of pinewood nematode.
**Code/Software:**
R is required to run the following R script; the script was created using version 4.3.0.
Annotations are provided throughout the script.
1. **get_pa_data.R:** This script generates pseudo-absence data for each species.
2. **get_pa_func.R:** This script contains the function used in the`get_pa_data.R`Â script to create pseudo-absence data.
3. **block_cv_data2.R:** This script splits the pseudo-absence data into training and test datasets.
4. **block_cv_func.R:** This script contains the function used in the `block_cv_data2.R` script for data splitting.
5. **get_or_func.R:** This script cal...
创建时间:
2025-08-05



