Residents’ Perception of Impact of Mass Tourism on Mountain Environment in Gilgit-Baltistan, Pakistan

This study seeks to explore and explain the perception of residents about the environmental impact of mountain mass tourism in three tourist destinations in Gilgit-Baltistan. This study is based on quantitative and qualitative data collected through a survey and group discussions with residents of three tourist destinations. Results revealed that the residents of the study area are highly concerned about the environmental impact of mass tourism. They highlighted air pollution, traffic congestion, pressure on land use change and infrastructure, and degradation of mountain ecosystem services. The study also found that communities in these tourist places expect governmental and non-governmental organizations to come up with a better plan for the management of mountain tourism on a sustainable basis. Reflecting critically on the perceptions of stakeholders about tourism impact, it is important to develop linkages between governmental and non-governmental organizations for environmental protection and sustainable quality tourism in the region while taking communities on board

A Comparison Between Schlumberger and Wenner Configurations in Delineating Subsurface Water Bearing Zones: A Case Study of Rawalakot Azad Jammu and Kashmir, Pakistan

The Schlumberger and Wenner Electrical Resistivity Survey techniques have been used in comparison for the determination of groundwater potential in District Rawalakot, Azad Jammu and Kashmir. The terameter SAS4000 with accessories was used for data acquisition. The data were processed by employing IPI2WIN software to determine the depth, thickness and true resistivity of the subsurface layers. The present study indicated the subsurface depth coverage of Schlumberger configuration is greater than Wenner configuration. The apparent resistivity maps using both Wenner and Schlumberger techniques at the same locations have been prepared at 3m, 4m, 9m, 10m, 27m, 30m, 50m, 51m, 100m, and 150m depths respectively for groundwater assessment. The differences in resistivity contour closures, in both types of maps, arise due to lateral variations of subsurface lithology. Longitudinal conductance, transverse resistance and anisotropic maps were also prepared. The different contour closures in the Wenner map were due to mixed lithology of alluvium with variable water contents. The subsurface geology i.e. clay, sandstone boulder clay, and dry sandy soil were interpreted which are in close agreement with the surface geology of the area. The aquifers of the project area are designated as confined and unconfined good water potential indicated by low values of resistivity. The water-bearing strata consist of sand, gravel, boulder clay and sandy clay

Patterns of livestock depredation and Human–wildlife conflict in Misgar valley of Hunza, Pakistan

Throughout the world, livestock predation by mammalian carnivores causes significant economic losses to poor farmers, and leads to human–wildlife conflicts. These conflicts result in a negative attitude towards carnivore conservation and often trigger retaliatory killing. In northern Pakistan, we investigated livestock depredation by large carnivores between 2014 and 2019, and subsequent Human–wildlife conflict, through questionnaire-based surveys (n = 100 households). We used a semi-structured questionnaire to collect data on livestock population, depredation patterns, predation count, and conservation approaches. We found a statistically significant increasing pattern of predation with influential factors such as age, gender, occupation, education of respondents, population of predators, threats index for predators and conservation efforts. Some 310 livestock heads with an average of 51 animals per year out of the total 9273 heads were killed by predators, and among them 168 (54%) were attributed to the wolf and 142 (45.8%) to snow leopard. Major threats to carnivores in the area included retaliatory killing, habitat destruction and climate change. Incentivization against depredation losses, guarded grazing and construction of predator-proof corral may reduce Human–wildlife conflict and both livelihood and predator can be safeguarded in the study area

Recent advances in molecular techniques for the identification of phytopathogenic fungi – a mini review

At present, 1.5 million species of fungi are estimated. Among these less than 5% have been described. Many fungal species cause disease in plants. These diseases cause major economic and production losses in the agricultural industry worldwide. Monitoring plant health and detecting the pathogen early are essential to reduce the disease spread, and facilitate effective management practices. DNA-based methods now provide essential tools for accurate plant disease diagnosis. Recently, effective amplification platforms, probe development, various quantitative PCR, DNA barcoding and RNA-Seq-based next-generation sequencing have revolutionized the research in fungal detection field, and differentiation area. Although the molecular diagnostics techniques have grown extensively over the last couple of decades but still there is a long way to go in the development and application of molecular diagnostics to assist the plant disease diagnosticians. Finally, molecular diagnostic techniques used in plant disease diagnostic clinics need to be robust, reliable, inexpensive and easy to be used that they can compete with, and complement traditional techniques. Challenge now remains residue with the researchers to develop the practical techniques used for diagnostic setting. Examples of the recent advancement in the molecular techniques for diagnosing the fungi causing plant disease are discussed in the review. Abbreviations: PCR: polymerase chain reaction; LAMP: loop-mediated isothermal amplification; RCA: rolling circle amplification; NASBA: nucleic acid sequence-based amplification; ITS: internal transcribed spacer; RT: reverse transcriptase; FEB: Fusarium ear blight; qPCR: real-time PCR; SNPs: single nucleotide polymorphism; HRCA: hyper-branched RCA; FIP: forward inner primer; BIP: backward inner primer; COX I: cytochrome c oxidase I; MBs: molecular beacons

The optimal CO2 concentrations for the growth of three perennial grass species

Abstract Background Grasslands are one of the most representative vegetation types accounting for about 20% of the global land area and thus the response of grasslands to climate change plays a pivotal role in terrestrial carbon balance. However, many current climate change models, based on earlier results of the doubling-CO2 experiments, may overestimate the CO2 fertilization effect, and as a result underestimate the potentially effects of future climate change on global grasslands when the atmospheric CO2 concentration goes beyond the optimal level. Here, we examined the optimal atmospheric CO2 concentration effect on CO2 fertilization and further on the growth of three perennial grasses in growth chambers with the CO2 concentration at 400, 600, 800, 1000, and 1200 ppm, respectively. Results All three perennial grasses featured an apparent optimal CO2 concentration for growth. Initial increases in atmospheric CO2 concentration substantially enhanced the plant biomass of the three perennial grasses through the CO2 fertilization effect, but this CO2 fertilization effect was dramatically compromised with further rising atmospheric CO2 concentration beyond the optimum. The optimal CO2 concentration for the growth of tall fescue was lower than those of perennial ryegrass and Kentucky bluegrass, and thus the CO2 fertilization effect on tall fescue disappeared earlier than the other two species. By contrast, the weaker CO2 fertilization effect on the growth of perennial ryegrass and Kentucky bluegrass was sustained for a longer period due to their higher optimal CO2 concentrations than tall fescue. The limiting effects of excessively high CO2 concentrations may not only associate with changes in the biochemical and photochemical processes of photosynthesis, but also attribute to the declines in stomatal conductance and nitrogen availability. Conclusions In this study, we found apparent differences in the optimal CO2 concentrations for the growth of three grasses. These results suggest that the growth of different types of grasses may respond differently to future elevated CO2 concentrations through the CO2 fertilization effect, and thus potentially alter the community composition and structure of grasslands. Meanwhile, our results may also be helpful for improving current process-based ecological models to more accurately predict the structure and function of grassland ecosystems under future rising atmospheric CO2 concentration and climate change scenarios