Ottosenspence7760

Understanding factors affecting the distribution of vector-borne diseases in space and across species is of prime importance to conservation ecologists. Identifying the underlying patterns of disease requires a perspective encompassing large spatial scales. However, ARV-771 clinical trial have investigated disease ecology from a macroecological perspective. Hence, we use a global disease database to uncover worldwide infection patterns using avian malaria (Plasmodium) as a model for vector-borne disease transmission. Using data on 678 bird species from 442 locations, we show that environmental variables likely to synchronize bird and vector abundance are the key factors dictating infection risk for birds. Moreover, direct effects of host traits on exposure risk as well as potential trade-offs in resource allocation were also shown to affect disease susceptibility, with larger bird species being more prone to infection. Our results suggest that considering evolutionary strategies and factors influencing spatial overlap between hosts and vectors is crucial for understanding worldwide patterns of disease transmission success.Many source apportionment models have been applied to identify pollution sources, and differences often exist in the diagnostic results. The reasons causing these differences have not been fully elucidated. In this study, three receptor models, principal component analysis-multiple linear regression (PCA-MLR), positive matrix factorization (PMF), and factor analysis-nonnegative constraints (FA-NNC), were compared and applied for the analysis of 16 EPA priority polycyclic aromatic hydrocarbons (PAHs) adsorbed in street dust samples from Harbin City (China). The differences in the results were caused by different calculation approaches, including matrix decomposition, variable grouping extraction, and nonnegative constraints, especially between PCA-MLR and the other two models. PCA-MLR has no nonnegative constraints, making PCA-MLR less similar to the real world than the other two. Both PMF and FA-NNC have a nonnegative constraint process, which may be the main reason why their results were much more similar to each other than to those of PCA-MLR. PCA-MLR distinguishes variables into several groups that have the greatest variances from each other, whereas the other two methods find similarities among variables and extract them. In the case study of Harbin City, the contributions of mobile and industrial sources ranged from 47 to 69%, and the contributions of coal and other sources ranged from 30 to 52%. The recognized types of pollution sources were generally equivalent, but the proportional contributions were different. PCA-MLR performed best in calculating contributions, whereas PMF and FA-NNC were better in terms of source diagnosis.The results of surface snow monitoring in Vecherny Oasis, Thala Hills, East Antarctica, for evaluation of Belarusian Antarctic Station environmental impact are presented. Snow samples from the depth up to 15-20 cm were collected during 4-5th and 7-10th seasonal Belarusian Antarctic expeditions in the period from 2012 to 2018. Chemical-analytical study and determination of Ag, Al, As, Ba, Be, Ca, Cd, Co, Cr, Cu, Fe, K, Na, Mg, Mn, Mo, Ni, Pb, Sb, Se, Th, Tl, V, U, and Zn content were performed using ISP-MS method. Altogether 85 snow samples were analyzed. High spatial variability of trace elements content in the surface snow and differences between human impacted and non-impacted areas are shown. The elevated average content of trace elements in surface snow within the human impacted areas in comparison with ice sheet has been revealed. Based on the concentration of elements and EFc, the anthropogenic origin of Sb, Se, As, Cd, Zn, Cr, Cu, Mo, V, and Pb in the surface snow were suggested. Contribution of local sources of trace elements is considered to be more important for Vecherny Oasis than their regional or transboundary transfers. #link# The development of guidelines for unified procedure of snow sampling for the goal of local impact monitoring in Antarctica would be useful for data comparison across Antarctic.This study presents an effective approach to tackle the challenge of long-term monitoring of contaminated groundwater sites where remediation leaves residual contamination in the subsurface. Traditional long-term monitoring of contaminated groundwater sites focuses on measuring contaminant concentrations and is applicable to sites where contaminant mass is removed or degraded to a level below the regulatory standard. The traditional approach is less effective at sites where risk from metals or radionuclides continues to exist in the subsurface after remedial goals are achieved. We propose a long-term monitoring strategy for this type of waste site that focuses on measuring the hydrological and geochemical parameters that control attenuation or remobilization of contaminants while de-emphasizing contaminant-concentration measurements. We demonstrate how this approach would be more effective than traditional long-term monitoring, using a site in South Carolina, USA, where groundwater is contaminated by several radionuclides. A comprehensive enhanced attenuation remedy has been implemented at the site to minimize discharge of contamination to surface water. The immobilization of contaminants occurs in three locations by manipulation of hydrological and geochemical parameters, as well as by natural attenuation processes. Deployment of our proposed long-term monitoring strategy will combine subsurface and surface measurements using spectroscopic tools, geophysical tools, and sensors to monitor the parameters controlling contaminant attenuation. The advantage of this approach is that it will detect the potential for contaminant remobilization from engineered and natural attenuation zones, allowing potential adverse changes to be mitigated before contaminant attenuation is reversed.Land-use planning is an important policy instrument for governing landscapes to achieve multifunctionality in rural areas. This paper presents a case study conducted in Na Nhan commune in the northwest montane region of Vietnam to assess land-use strategies toward multiple ecosystem services, through integrated land-use planning. The assessment employed the Land-Use Planning for Multiple Ecosystem Services (LUMENS) framework and a number of methods and tools, including land-use mapping, GIS-based land-use change analysis, survey questionnaire, rapid carbon-stock appraisal for different land uses, qualitative ecosystem services assessment, and a backcasting technique. Our findings suggest that a lack of participation and acknowledgement of customary land-use practices inhibit successful implementation of current land-use planning and relevant policies such as payment for forest environmental services and the nationally determined contributions. The study also confirmed the contributions of forests and the land-use sector in achieving national emission reduction targets, especially when local stakeholders are involved early in the planning process.