Percorrer por autor "Ali, Haidar"
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- AI-driven conservation of the endangered twisted yew (Taxus contorta Griff.) in the western himalayaPublication . Din, Salahud; Ali, Haidar; Panagopoulos, Thomas; Alam, Jan; Malik, Saira; Sher, HassanConserving the threatened West Himalayan endemic T. contorta (Taxaceae) is critical due to extinction risks from skewed male- or female-only populations. This study employs ChatGPT-driven artificial intelligence (AI) analysis for textual synthesis and preliminary hypothesis generation to identify favorable propagation sites for T. contorta within the Swat district of Pakistan. Over three years (2019–2021), eleven male- or female-only populations of T. contorta were surveyed. Environmental data from NASA POWER were analyzed using ChatGPT 3.5 to predict suitable propagation sites, which were then mapped in Google Earth Pro. PCA and hierarchical clustering were applied to identify key environmental variables. Out of 63 generated points, 58 were accurately located in Swat with 92% geographic accuracy, while species-specific general knowledge accuracy was 100%. All points fell within the pre-established T. contorta spatial range in Pakistan, with 21 unique sites meeting optimal conditions. Field surveys confirmed 16 new populations. These findings underscore the promising role of AI-driven analysis in conservation planning by identifying and supporting habitat restoration efforts. A bidirectional integration of AI and SDM, combined with remote sensing technologies, represents a novel approach for the effective conservation of endangered plant species.
- Correction: Din et al. AI-driven conservation of the endangered twisted yew (Taxus contorta Griff.) in the western himalaya.Publication . Din, Salahud; Ali, Haidar; Panagopoulos, Thomas; Alam, Jan; Malik, Saira; Sher, Hassan
- Developing high-efficiency PCR mini-barcoding to enforce conservation efforts against illegal trade and habitat loss of endangered Taxus L. in the HimalayasPublication . Din, Salahud; Ali, Haidar; Panagopoulos, Thomas; Alam, Jan; Malik, Saira; Sher, HassanEnvironmental and ancient DNA are mostly present in degraded forms in nature. Plant forensics is necessary for plants like Taxus (Taxaceae), which is a medicinal, as well as poisonous, endangered plant. We designed a study to develop high-efficiency PCR mini-barcoding primers for the identification of Taxus. We collected environmental materials, fresh and old Taxus specimens from natural habitats, herbaria, and ex situ propagation sites. Taxon-specific mini-barcoding primers were prepared through primer3. All the primers were amplified onto Taxus specimens and environmental samples having Taxus DNA, while no amplification on fresh and herbarium specimens other than Taxus was noted. DNA sequencing of amplified regions of matK, ITS, and rbcL yielded lengths of 117, 175, and 200 bp. Blast taxonomy showed 100% identification power at the genus level, while 75–93% at the species level, and identified a total of 30 taxa within the genus Taxus, comprising 16 species, 5 varieties, 2 hybrids, and 7 variants. ITS was the most specific for genus identification, followed by matK and rbcL. Environmental, trade, socio-economic, and toxicological crimes were also identified. Our high-efficiency PCR mini-barcoding method can be useful in the prevention of Taxus illegal trade and habitat degradation to mitigate climate change in the Himalayan region of Pakistan.