EconPapers    
Economics at your fingertips  
 

Predicting the Suitable Current and Future Potential Distribution of the Native Endangered Tree Tecomella undulata (Sm.) Seem. in Pakistan

Fahim Arshad, Muhammad Waheed, Kaneez Fatima, Nidaa Harun, Muhammad Iqbal, Kaniz Fatima and Shaheena Umbreen
Additional contact information
Fahim Arshad: Department of Botany, University of Okara, Okara 56300, Pakistan
Muhammad Waheed: Department of Botany, University of Okara, Okara 56300, Pakistan
Kaneez Fatima: Department of Botany, University of Okara, Okara 56300, Pakistan
Nidaa Harun: Department of Botany, University of Okara, Okara 56300, Pakistan
Muhammad Iqbal: Department of Botany, University of Okara, Okara 56300, Pakistan
Kaniz Fatima: Department of Botany, University of Okara, Okara 56300, Pakistan
Shaheena Umbreen: Department of Botany, University of Okara, Okara 56300, Pakistan

Sustainability, 2022, vol. 14, issue 12, 1-10

Abstract: The burgeoning human population exhibited a rapid amplification in demand for timber and fuelwood and as a result, the natural population of the native tree Tecomella undulata reduced rapidly due to its high economic and medicinal significance. The recognition of appropriate regions for threatened plants in the climate change scenario is a fundamental step for the restoration and conservation of biodiversity. The current study predicts the potentially suitable areas in Pakistan for T. undulata restoration. This research identifies the highly appropriate regions for vulnerable T. undulata through the maximum entropy model from MaxEnt software. The model’s Area Under Curve 0.968 suggested its accuracy. The mean temperature of the wettest quarter, precipitation of the warmest quarter, and mean temperature in the driest quarter significantly shaped the T. undulata distribution. Future suitable areas for T. undulata were made by using RCP (4.5 and 8.5) for the years 2050 and 2070 through 19 bioclimatic variables and 66 occurrence points. The current highly suitable area for T. undulata is approximately 135,749 km 2 (15.4%) while the unsuitable area identified is approximately 404,917 km 2 (45.91%). The highly suitable area for T. undulata increases by 3.6–7% under climate change regimes (RCP 4.5 and RCP 8.5). The Central Punjab (District Faisalabad, Nankana sahib, Jhang, Kasur, and Okara), Salt Range, Western Khayber Pakhtunkhwa (KPK), FATA area, Eastern Balochistan, and Thar and Tharparker in Sindh are the current appropriate habitats for T. undulata . Under all future climatic circumstances, the extremely appropriate area for T. undulata was anticipated to expand, whereas the unsuitable zones would all shrink. The research would be significant for the further development of T. undulata management and conservation techniques.

Keywords: climate change; conservation; management techniques; maxent modeling; suitable habitats (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (5)

Downloads: (external link)
https://www.mdpi.com/2071-1050/14/12/7215/pdf (application/pdf)
https://www.mdpi.com/2071-1050/14/12/7215/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jsusta:v:14:y:2022:i:12:p:7215-:d:837441

Access Statistics for this article

Sustainability is currently edited by Ms. Alexandra Wu

More articles in Sustainability from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().

 
Page updated 2025-03-19
Handle: RePEc:gam:jsusta:v:14:y:2022:i:12:p:7215-:d:837441