TY - JOUR
T1 - Global invasion risk assessment of prosopis juliflora at biome level
T2 - Does soil matter?
AU - Dakhil, Mohammed A.
AU - El-Keblawy, Ali
AU - El-Sheikh, Mohamed A.
AU - Halmy, Marwa Waseem A.
AU - Ksiksi, Taoufik
AU - Hassan, Walaa A.
N1 - Funding Information:
Funding: The work was supported by a research project (ID: 150428) for A.E.-K. funded by both Sharjah Research Academy and the Research Office of the University of Sharjah. The author M.A.El-Sheikh extends his appreciation to the Researchers Supporting Project Number (RSP-2020/182), King Saud University, Riyadh, Saudi Arabia.
Funding Information:
The work was supported by a research project (ID: 150428) for A.E.-K. funded by both Sharjah Research Academy and the Research Office of the University of Sharjah. The author M.A.El-Sheikh extends his appreciation to the Researchers Supporting Project Number (RSP-2020/182), King Saud University, Riyadh, Saudi Arabia.
Publisher Copyright:
© 2021 by the authors. Licensee MDPI, Basel, Switzerland.
PY - 2021/3
Y1 - 2021/3
N2 - Prosopis juliflora is one of the most problematic invasive trees in tropical and subtropical regions. Understanding driving forces affecting the potential global distribution would help in managing its current and future spread. The role of climate on the global spatial distribution of P. juliflora has been well studied, but little is known about the role of soil and human impacts as potential drivers. Here, we used maximum entropy (MaxEnt) for species distribution modelling to understand the role of climate (C), soil (S) and human impacts (H), C+S, and C+S+H in controlling the potential invasion range of P. juliflora, and to project its global potential invasive risk. We defined the top threatened global biomes, as predicted by the best-selected model. The incorporation of the edaphic factors improved the model performance and enhanced the accuracy of the outcome. Our findings revealed that the potential invasion risk increases with increases in mean temperature of the driest quarter (Bio9), soil alkalinity and clay fractions. Arid and semi-arid lands are at the highest risk of invasion than other moist biomes.
AB - Prosopis juliflora is one of the most problematic invasive trees in tropical and subtropical regions. Understanding driving forces affecting the potential global distribution would help in managing its current and future spread. The role of climate on the global spatial distribution of P. juliflora has been well studied, but little is known about the role of soil and human impacts as potential drivers. Here, we used maximum entropy (MaxEnt) for species distribution modelling to understand the role of climate (C), soil (S) and human impacts (H), C+S, and C+S+H in controlling the potential invasion range of P. juliflora, and to project its global potential invasive risk. We defined the top threatened global biomes, as predicted by the best-selected model. The incorporation of the edaphic factors improved the model performance and enhanced the accuracy of the outcome. Our findings revealed that the potential invasion risk increases with increases in mean temperature of the driest quarter (Bio9), soil alkalinity and clay fractions. Arid and semi-arid lands are at the highest risk of invasion than other moist biomes.
KW - Conservation priority
KW - Global biomes
KW - Habitat suitability
KW - Invasion risk assessment
KW - MaxEnt
KW - Temperature variability
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U2 - 10.3390/biology10030203
DO - 10.3390/biology10030203
M3 - Article
AN - SCOPUS:85103054278
SN - 2079-7737
VL - 10
JO - Biology
JF - Biology
IS - 3
M1 - 203
ER -