Global spatial distribution of Prosopis juliflora - one of the world’s worst 100 invasive alien species under changing climate using multiple machine learning models-Reference-Cited by-同舟云学术

Global spatial distribution of Prosopis juliflora - one of the world’s worst 100 invasive alien species under changing climate using multiple machine learning models

Published:2024-01-24 Issue:2 Volume:196 Page:
ISSN:0167-6369
Container-title:Environmental Monitoring and Assessment
language:en
Short-container-title:Environ Monit Assess

Author:

Pasha S. Vazeed^ORCID,Reddy C. Sudhakar^ORCID

Publisher

Springer Science and Business Media LLC

Link

https://link.springer.com/content/pdf/10.1007/s10661-024-12347-1.pdf

Reference53 articles.

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2. Ahmad, R., Khuroo, A. A., Hamid, M., Charles, B., & Rashid, I. (2019). Predicting invasion potential and niche dynamics of Parthenium hysterophorus (Congress grass) in India under projected climate change. Biodiversity and Conservation, 28, 2319–2344.

3. Ahmed, N., Atzberger, C., & Zewdie, W. (2021). Species distribution modelling performance and its implication for Sentinel-2-based prediction of invasive Prosopis juliflora in lower Awash River basin, Ethiopia. Ecological Processes, 10(1), 1–16.

4. Amiri, M., Tarkesh, M., & Shafiezadeh, M. (2022). Modelling the biological invasion of Prosopis juliflora using geostatistical-based bioclimatic variables under climate change in arid zones of southwestern Iran. Journal of Arid Land, 14(2), 203–224.

5. Ashton, I. W., Hyatt, L. A., Howe, K. M., Gurevitch, J., & Lerdau, M. T. (2005). Invasive species accelerate decomposition and litter nitrogen loss in a mixed deciduous forest. Ecological Applications, 15(4), 1263–1272.

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