The potential distribution of Olea ferruginea was predicted by Maxent model for present and the upcoming hypothetical (2050) climatic scenario. O. ferruginea is an economically beneficial plant species. For predicting the potential distribution of O. ferruginea in Pakistan, Worldclim variables for current and future climatic change scenarios, digital elevation model (DEM) slope, and aspects with the occurrence point were used. Pearson correlation was used to reject highly correlated variables. A total of 219 sighting points were used in the Maxent modeling. The area under curve (AUC) value was higher than 0.98. The approach used in this study is considered useful in predicting the potential distribution of O. ferruginea species, and can be an effective tool in the conservation and restoration planning for human welfare. The results show that there is a significant impact under future bioclimatic scenarios on the potential distribution of O. ferruginea in Pakistan. There is a significant decrease in the overall distribution of O. ferruginea due to loss of habitats under current distribution range, but this will be compensated by gain of habitat at higher altitudes in the future climate change scenario (habitat shift). It is recommended that the areas predicted suitable for the O. ferruginea may be used for plantation of this species while the deforested land should be restored for human welfare.

Evaluation of existing operational and managerial provisions and identification of specific actions that fit and impact in a local context is key to find sustainable solutions. The study aims to develop an understanding of existing waste management practices for a medium sized city of Pakistan and to quantify the related environmental impacts using life cycle assessment (LCA). The existing waste management system in “Bahawalpur”, a city with predominant rural-urban infusion, is characterized by straining resources, low generation rates (0.424 kg/capita/day), prominent source separation, high scavenging activities and open dumping practices. The waste composition analysis proposes organic wastes as the largest constituent (64%) followed by recyclables (27%) and inerts (9%). The LCA model “EaseTech” used to quantify the environmental performance of existing waste management arrangements illustrated that existing waste management system in Bahawalpur City has tangible effects on climate change (3.16 × 10⁷ kg CO₂-Eq) and ecotoxicity (3.12 × 10⁶ CTU) categories, while depletion of abiotic resources fossil (−9.60 × 10⁷) category points up most environmental savings. Significant environmental compensations for different impact categories are offered due to high source separation and recycling trade off. The overview necessitates suitable modification in existing waste disposal practice that poses severe impacts on the environment.

Simple, single‐species approaches in distributional ecology leave open questions of possible roles of biotic interactions. We sought to understand impacts of climate change on current and future potential distributions of Olea europaea sensu lato (host) and Bactrocera oleae (parasite) in Europe, the Middle East, and Africa (EMEA), taking into account potential interspecific interactions. We used ecological niche modeling approaches: For biotic interactions, an initial host model was incorporated into the calibration of the parasite model and an initial parasite model was incorporated into calibration of the host model, as host and parasite populations may respond to the presence of the other species. Absence of olive fruits could reduce the flight ability of the fly parasite, whereas presence of the parasite may make a site less suitable for the olives. The host model was improved by inclusion of the parasite information; the converse was not true for the parasite model. Our results anticipated a significant reduction in the potential distribution of Olea europeae in Africa and Europe under future climate scenarios; in contrast, future climates appear more broadly favorable for the parasite species, which poses new and increasing risks for olive cultivation in the Mediterranean region.