Drivers, pressures, and state responses to inform long-term oil sands wetland monitoring program objectives

Boreal peatlands provide numerous ecosystem services ranging from carbon sequestration to the provisioning of habitat for species integral to Indigenous communities. In the Oil Sands Region of Alberta, Canada, human development related to oil and gas extraction occurs in a wetland-dominated landscape. Wetland monitoring programs can determine the extent to which development impacts wetlands, but existing monitoring programs focus on characterizing biodiversity across the region and on compliance and regulatory monitoring that assumes impacts from oil sands development do not extend past lease boundaries. This is unlikely to be true since some impacts, such as particulate deposition, can extend over large areas contingent on local weather and topography. To inform the development of a new regional wetland monitoring program to assess the cumulative effects of oil sands development on wetlands, we synthesized information on the scope of wetland research across the Oil Sands Region, including the anthropogenic stressors that impact wetlands and the wetland characteristics sensitive to different disturbances. We developed a conceptual model linking human development with wetland ecology in the region to make explicit the relationships among oil sands development stressors and different components of wetland ecosystems. By highlighting testable relationships, this conceptual model can be used as a collection of hypotheses to identify knowledge gaps and to guide future research priorities. relationships among We found that the majority of studies are short-term (77% were ≤ 5 years) and are conducted over a limited spatial extent (82% were sub-regional). Studies of reclaimed wetlands were relatively common (18% of all tests); disproportionate to the occurrence of this wetland type. Results from these studies likely cannot be extrapolated to other wetlands in the region. Nevertheless, the impacts of tailings contaminants, wetland reclamation activities, and surface water chemistry are well-represented in the literature. Research on other types of land disturbance is lacking. A coordinated, regional monitoring program is needed to gain a complete understanding of the direct and indirect impacts of human development in the region and to address remaining knowledge gaps.

The internet of things in high andean wetland monitoring, historical review approach

The internet of things (IoT) has allowed important technological advances for monitoring and telemetry, thanks to the fact that IoT-based systems allow to obtain information in large areas, far from urban environments, and where low energy monitoring systems are required, features that are consistent with the requirements for high Andean wetlands telemetry. The monitoring of environmental variables, such as water quality in high Andean wetlands, is a topic of great importance for the scientific community, since, if the knowledge of the dynamics of the wetlands is improved, it is possible to optimize the decision making for their conservation. In that sense, to know the application of the IoT in this type of wetlands at a global level, this work presents a review of the literature related to the use of the IoT in the monitoring of high Andean wetlands. In order to carry out a historical review, a methodology was proposed under some guiding questions, which allowed designing a structure for background searches. Both the questions and the structure guided the search process from macro areas, such as IoT and environment, to micro areas, such as IoT applications in wetland monitoring. Finally, the review concluded that IoT has not been applied in high Andean wetland monitoring.

Environmental Engineering Research on Wetland Monitoring and Protection Based on Field Server

Observing and assurance of biological natural is the outskirts grassland and gone to by various diverse field researchers in the advanced occasions. This exploration is the soonest move up and establishes the idea of field worker framework model, in other words, through AI, make computerized video to syncretise with the WLAN strategy, and send the boundaries of wetland biological ecological elements to worker by LAN. This can take care of certain issues of simple microwave correspondence frameworks, for example, recurrence asset conveyance, recurrence possessing and radio waves obstruction. This is additionally ready to take care of issue of pre-treatment and rapidly extends video checking framework in some recurrence band, get great impact and stabile picture and information in the control community.