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Background Eastern Khyber Pakhtunkhwa is home to a vast range of medicinal and edible waterbird species due to its diverse geographical environment. Waterbird species have been used for various ailments and cultural practices since ancient times, while ethno-pharmacological applications and cultural uses of waterbird species in this area have seldom been documented. This study is the first ethnomedicinal and cultural assessment of waterbird species, and the first compilation and listing of all known data on these species in Eastern Khyber Pakhtunkhwa, Pakistan. Methods Interviews and questionnaires were used to collect data from native respondents ( N  = 100). To analyze the data, principal component analysis (PCA), relative frequency of citation (RFC), fidelity level (FL%), relative popularity level (RPL), rank order priority, and similarity index were used. Results In total, 64 waterbird species were utilized in cultural practices, of which 40 species are used to cure different infectious and chronic diseases such as cold, cough, flu, fever, respiratory disorders, asthma, TB, gastric ulcers, kidney stones, male impotency, obesity, paralysis, piles, cancer, arthritis, body pain, and weakness. PCA showed significant differences in the use of waterbird species among the local inhabitants of the study area, separated along the axis-2 ( p  < 0.05). The FL% of waterbird species varied from 12 to 100%. 100% FL was analyzed for four waterbird species, i.e., Charadrius mongolus (cold), Gallicrex cinerea (asthma), Anas platyrhynchos (cancer), and Esacus recurvirostris (body weakness). In this study, Mallard ( Anas platyrhynchos ) was the most popular species used in the healthcare system of Eastern Khyber Pakhtunkhwa, with high RFC (4.06), FL% (100), and RPL (1.0) values. Conclusion We concluded that waterbird species are more used for medicine and food purposes in the study area. However, in vitro/in vivo assessment of biochemical activities of waterbird species with a maximum FL% might be significant to produce novel drugs. Recent research shows important ethno-ornithological information about native people and their links with waterbird species, which might be helpful for the sustainable use of waterbird diversity in the research area.

As ecosystem engineers, earthworms play a significant role in maintaining soil health, fertility and ecosystem functioning by enhancing organic matter decomposition, nutrient cycling, and soil structure. Their diversity and distribution are shaped by land-use practices such as urbanization, agriculture, and forests. This study investigates earthworm species richness and spatial distribution across various land-use types in Hazara Division, Pakistan. Examine key ecological drivers including soil moisture, pH, organic carbon and potassium. The research explores how land-use practices affect earthworm diversity, providing insights essential for biodiversity conservation strategies in similar ecosystems. Sampling across six districts Haripur, Abbottabad, Mansehra, Kohistan, Batagram, and Tor Ghar 2697 individuals from 16 species belonging to three families: Lumbricidae, Megascolecidae, Moniligastridae. Eisenia fetida and Amynthas morrisi were the most abundant (12% each), while Drawida japonica (Gene bank ACESSION NOPV871406.1) was documented for the first time in Pakistan, highlighting the region’s unexplored biodiversity. Species richness showed a significant positive correlation with soil moisture ( r  = 0.472, p < 0.05 ) and neutral pH levels. Population densities were highest in Haripur and Mansehra, whereas Kohistan and Tor Ghar exhibited lower densities, likely due to poor soil structure and organic carbon content. The Shannon Diversity Index (H’) ranged from 2.55 in Tor Ghar to 2.61 in Kohistan, with overall earthworm abundance highest in Mansehra. Urban and industrial areas exhibited low species richness, possibly due to soil compaction and pollution. These findings highlight the ecological importance of earthworms in promoting soil health, enhancing ecosystem services, and reinforcing soil resilience amid environmental stressors.

ABSTRACT Study on food preference of Rhesus monkey (Macaca mulatta) was conducted from September 2019 to September 2020 in the Margalla Hills National Park (MHNP) near Islamabad ,which falls in Murree foothills between 450m--­­­­1500m elevation (N 330 44'25.5” E 0730 03'15.3”). Topography is rugged and the climate is sub-tropical semi-arid. The flora of the park is mainly subtropical evergreen scrub forest on the lower slopes and subtropical pine forest at higher elevations. The data were collected by direct field observations on five selected groups: A, B, C, D and E of rhesus monkey in various parts of the study area. Food remnants method was used in combination with fecal analysis and visual observation for food composition. Both macroscopic and microscopic fecal analysis were carried out using 150 fecal pellets, collected from study area. The microhistological fecal analysis showed the presence of 29 dietary plant species as compared to 30 plant species observed in the field. No animal derived food component was noticed in the diet. The results revealed that food composition consisted of 83% plants diet, 14% provisioned food items and 03% scavenging on garbage bins. To study food resource preference, the monkeys were classified into five age/sex classes: Adult males, adult females, sub adults, juveniles and infants. Analysis of food resources preference of five age/ sex classes of rhesus monkeys revealed that it mainly varied due to nutritional requirements and physiological conditions of monkeys. Rhesus monkeys preferred succulent foods to the non-succulents. Eight different feeding categories: arboreal, ground, provisioning, scavenging, begging, stealing, snatching and suckling were defined. A total of 540 observations were taken for all age and sex classes. The arboreal and ground feeding were widely used by the monkeys while stealing and snatching were little used. There is a need to conduct research on feeding ecology, parasitology, food preference based on nutritional requirements of Rhesus monkey in MHNP.

The conservation of threatened species and the restoration of ecosystems have emerged as crucial ecological prerequisites in the context of a changing global environment. One such species of significant commercial value is the Bael tree, scientifically known as Aegle marmelos, which is native to semi-arid regions in Pakistan. However, the species faces threats in Pakistan due to overexploitation and changing land use. To support sustainable production practices and agricultural planning, it is important to investigate how climate change has affected the geographic distribution of Aegle marmelos. Additionally, the impact of climate change on its frequency and distribution remains uncertain. To address these concerns, we employed species distribution modeling techniques using MaxEnt and GIS to predict the present and future distribution of favorable habitats for Aegle marmelos. Based on our findings, several key bioclimatic variables were identified as significant influencers of Aegle marmelos distribution. These variables include soil bulk density (bdod), isothermality (bio03), precipitation during the warmest quarter (bio18), and mean temperature during the wettest quarter (bio08). Currently, the potential suitable habitat for Aegle marmelos spans an area of approximately 396,869 square kilometers, primarily concentrated in the regions of Punjab, Khyber Pakhtunkhwa, and Balochistan in Pakistan. The habitats deemed highly suitable for Aegle marmelos are predominantly found in upper and central Punjab. However, if climate change persists, the suitable habitats in Pakistan are likely to become more fragmented, resulting in a significant shift in the overall suitable area. Moreover, the distribution center of the species is expected to relocate towards the southeast, leading to increased spatial separation over time. The results of this research significantly contribute to our understanding of the geo-ecological aspects related to Aegle marmelos. Furthermore, they provide valuable recommendations for the protection, management, monitoring, and sustainable production of this species.

Pheasants play a distinctive and significant role in high altitudinal ecosystems. These are good indicators of environmental changes, and their presence determines the health and balance of the bio-network. Recent human pressure continues to degrade their populations, and some pheasant species are already extinct. Therefore, the current study focuses on pheasant abundance and emerging conservation issues. The pheasant population was assessed using “Call count methods” and analyzed by DISTANCE software. The results revealed that the valleys where human interference is minimum had significantly higher encounter rates and densities of pheasants. At the same time, the pheasant population was severely affected, whether found at lower or higher altitudes, showing seasonal migration toward human settlements. The habitat suitability modeling was performed using the MaxEnt model and showed that human activities overlap with the suitable natural habitats of pheasants. The threats were identified using a systematic questionnaire survey from the nearest villages of the potential habitat, and particular attention was paid to valleys where human pressures were found to be high. Major infrastructure development projects, illegal hunting, and deforestation were identified as the major threats to the pheasant population. The study concluded that proper conservation measures are required to protect pheasants in their potential habitats.

The impact of a changing climate, particularly global warming, often harms the distribution of pheasants, particularly those with limited endemic ranges. To effectively create plans of action aimed at conserving species facing threats such as the Western Tragopan, (Tragopan melanocephalus; Gray, 1829; Galliformes, found in the western Himalayas), it is crucial to understand how future distributions may be affected by anticipated climate change. This study utilized MaxEnt modeling to assess how suitable the habitat of the targeted species is likely to be under different climate scenarios. While similar studies have been conducted regionally, there has been no research on this particular endemic animal species found in the western Himalayas throughout the entire distribution range. The study utilized a total of 200 occurrence points; 19 bioclimatic, four anthropogenic, three topographic, and a vegetation variable were also used. To determine the most fitting model, species distribution modeling (SDM) was employed, and the MaxEnt calibration and optimization techniques were utilized. Data for projected climate scenarios of the 2050s and 2070s were obtained from SSPs 245 and SSPs 585. Among all the variables analyzed; aspect, precipitation of coldest quarter, mean diurnal range, enhanced vegetation index, precipitation of driest month, temperature seasonality, annual precipitation, human footprint, precipitation of driest quarter, and temperature annual range were recognized as the most influential drivers, in that order. The predicted scenarios had high accuracy values (AUC-ROC > 0.9). Based on the feedback provided by the inhabitants, it was observed that the livability of the selected species could potentially rise (between 3.7 to 13%) in all projected scenarios of climate change, because this species is relocating towards the northern regions of the elevation gradient, which is farther from the residential areas, and their habitats are shrinking. The suitable habitats of the Tragopan melanocephalus in the Himalayan region will move significantly by 725 m upwards, because of predicted climate change. However, the fact that the species is considered extinct in most areas and only found in small patches suggests that further research is required to avert a further population decline and delineate the reasons leading to the regional extinction of the species. The results of this study can serve as a foundation for devising conservation strategies for Tragopan melanocephalus under the changing climate and provide a framework for subsequent surveillance efforts aimed at protecting the species.

The conservation of threatened species and the restoration of ecosystems have emerged as crucial ecological prerequisites in the context of a changing global environment. One such species of significant commercial value is the Bael tree, scientifically known as Aegle marmelos, which is native to semi-arid regions in Pakistan. However, the species faces threats in Pakistan due to overexploitation and changing land use. To support sustainable production practices and agricultural planning, it is important to investigate how climate change has affected the geographic distribution of Aegle marmelos. Additionally, the impact of climate change on its frequency and distribution remains uncertain. To address these concerns, we employed species distribution modeling techniques using MaxEnt and GIS to predict the present and future distribution of favorable habitats for Aegle marmelos. Based on our findings, several key bioclimatic variables were identified as significant influencers of Aegle marmelos distribution. These variables include soil bulk density (bdod), isothermality (bio03), precipitation during the warmest quarter (bio18), and mean temperature during the wettest quarter (bio08). Currently, the potential suitable habitat for Aegle marmelos spans an area of approximately 396,869 square kilometers, primarily concentrated in the regions of Punjab, Khyber Pakhtunkhwa, and Balochistan in Pakistan. The habitats deemed highly suitable for Aegle marmelos are predominantly found in upper and central Punjab. However, if climate change persists, the suitable habitats in Pakistan are likely to become more fragmented, resulting in a significant shift in the overall suitable area. Moreover, the distribution center of the species is expected to relocate towards the southeast, leading to increased spatial separation over time. The results of this research significantly contribute to our understanding of the geo-ecological aspects related to Aegle marmelos. Furthermore, they provide valuable recommendations for the protection, management, monitoring, and sustainable production of this species.

The total density/Km2 area in 2016 was 4.438 individuals/km2 and average sex and age wise ratios; male to female ratio (M·: F··) was 1:4.75 and kids to female (K·····: F··) ratio was 1:1.727. The total density/Km2 area in 2018 was 6.063 individuals/km2 and Average sex and age wise ratios; male to female ratio (M·: F··) was 1:5 and kids to female (K·····: F··) ratio was 1:1.9. Zoological diversity in Pakistan is benefited due to Huge Mountains, snow covered peaks and hills, ravines, different range valleys and streams with dry alpine scrub vegetation represents a predominantly cold arid and mountainous climate. The critical aspect, regardless of population size, is to ensure that sufficient mature males are left for normal reproduction rates to be achieved and that the long-term survival of the population is not jeopardized [14]. Objectives of research were to find out current population, estimate age and sex ratios of Markhor and document the contribution of trophy hunting for the conservation and development of Markhor in Kiagah valley.

The Himalayan pheasants are under the greatest threat due to habitat degradation, and loss. Quantifying geographical range and suitable habitat of a species can help in better management and conservation decisions. Himalayan Monal (Lophophorus impejanus) and Koklass (Pucrasia macrolopha) are endemic to the Himalayas and Hindukush mountains. This study aims to investigate habitat suitability of these pheasants in the western Himalayas and Hindukush. MaxEnt and Cringing models were used to document habitat suitability and to identify valleys with most suitable habitat. MaxEnt model displayed excellent predictive performance showing a strong prediction of the probability distribution and habitat. The area under cover (AUC) values quantified for the replicate runs were 0.994 (±0.001) and 0.991 (±0.005) for Himalayan Monal and Koklass pheasant respectively. The climatic parameters including temperature, precipitation of the warmest quarter (bio_18) contributed the maximum 21.3% and 23.5%, followed by annual precipitation (bio_12) 12.3% and 8.9% for habitat prediction of Monal and Koklass. The topographical variables, altitude, slope, and distance to settlements contributed 15.2%, 2.6%, and 16% in the Monal habitat prediction model while 8.4%, 10.5%, and 15.8% for the Koklass habitat prediction model respectively. We quantified highly suitable (844.4 sq. km), moderately suitable (2819.42 sq. km), and less suitable (3933.09 sq. km) habitat for Monal pheasant. Whereas, highly suitable habitat for Koklass pheasant was (611.5 sq. km), followed by moderately suitable (2551.3 sq. km), and less suitable (4494.11 sq. km). Bar Palas region of Koli Palas district, Jalkot and Kandia valley of district upper Kohistan and Kayal valley of district lower Kohistan were identified as core zones or hot spots for these pheasant species. Areas identified as core zone/hotspot and suitable habitat for the pheasant species should be legally protected for the conservation of pheasants. Competing Interest Statement The authors have declared no competing interest.

Highly nutritious lentil proteins (LP) have recently attracted interest in the food industry. However, due to their low solubility, extensive application of LP is severely limited. This study describes a new and successful method for overcoming this challenge by improving the nutritional–functional properties of LP, particularly their solubility and protein quality. By combining protein complexation with water kefir-assisted fermentation, the water solubility of native LP (~58%) increases to over 86% upon the formation of lentil–casein protein complexes (LCPC). Meanwhile, the surface charge increases to over −40 mV, accompanied by alterations in secondary and tertiary structures, as shown by Fourier-transform infrared and UV-vis spectra, respectively. In addition, subjecting the novel LCPC to fermentation increases the protein digestibility from 76% to over 86%, due to the reduction in micronutrients that have some degree of restriction with respect to protein digestibility. This approach could be an effective and practical way of altering plant-based proteins.