We can't find the internet
Attempting to reconnect
Something went wrong!
Hang in there while we get back on track
Introducing a temporal DPSIR (tDPSIR) framework and its application to marine pollution by PET bottles
AI summary Read the abstract
Researchers extended the standard Driver-Pressure-State-Impact-Response governance framework by explicitly modeling time lags and proposing an early-response "shift-left" mechanism, then applied the modified temporal DPSIR framework to the EU's management of plastic bottle pollution to reveal how large delays between the emergence of a pressure and effective policy are a systemic pattern in environmental governance.
Environmental governance is highly sensitive to temporal dynamics, due to the ever-accelerating rate of technological changes, the cumulative nature of environmental impacts and the complexity of multi-level environmental policy processes. Yet, temporality is generally only implicitly included in frameworks used for describing or assessing policy response in the broad context of social-ecological systems, such as the widely used Driver-Pressure-State-Impact-Response (DPSIR) framework. As a result, the application of such frameworks often does not give due attention to questions of temporality, with potential negative impacts on attaining environmental goals. The current work proposes to modify the DPSIR framework to explicitly incorporate temporal aspects. We suggest two extensions of the common framework to account for time lags and allow for early response through a “response shift-left” mechanism. The potential of the modified framework—temporal DPSIR (tDPSIR)—to shed light on these temporal aspects is demonstrated through analysis of the European Union’s response to pollution of the marine environment by plastic bottle waste. The analysis emphasizes the pronounced time lags between the initiation of this anthropogenic pressure and effective governance capable of curbing emissions. We discuss how tDPSIR can be applied to a range of environmental issues to populate databases of time lags in environmental governance, which, in turn, can be analysed for systemic patterns and chains of causality.
More Papers Like This
The Marine Plastic Litter Issue: A Social-Economic Analysis
AI summary Read the abstract
Using the DPSIR framework, this study analyzed marine plastic litter pollution as a social-economic issue, finding that fewer than 10 peer-reviewed studies had applied this policy-relevant analytical model to ocean plastics, and identifying management response gaps in food security, transport, and shelter contexts.
Beach pollution from marine litter: Analysis with the DPSIR framework (driver, pressure, state, impact, response) in Tuscany, Italy
AI summary Read the abstract
Researchers applied the DPSIR environmental analysis framework to understand the accumulation of litter and waste on beaches in Tuscany, Italy, finding that coastal ocean currents — not local waterways — were the main source of beach debris, while local sewage contaminated the sand with fecal bacteria at levels posing moderate health risks. The study demonstrates how a systems-level approach can help beach managers identify the true causes of marine litter and evaluate the effectiveness of existing cleanup measures.
Microplastics in the environment: A DPSIR analysis with focus on the responses
AI summary Read the abstract
This review applies a DPSIR (driving forces, pressures, states, impacts, responses) framework to organise current knowledge on microplastic pollution, covering sources, distribution across environmental compartments, and socio-economic impacts. The authors assess available response strategies including regulatory instruments, biodegradable plastics development, wastewater treatment, and environmental cleanup, while identifying key gaps in the literature.
Microplastics: An analysis using the DPSIR (Drivers, Pressures, State, Impacts, Responses) model: The situation of Brazil
AI summary Read the abstract
This review applies the DPSIR (Drivers, Pressures, State, Impacts, Responses) framework to analyze microplastic pollution specifically in the Brazilian context, structuring available evidence on sources, environmental accumulation, ecological and human health impacts, and current policy and technological response measures. The authors aim to provide a structured evidence base to guide large-scale solutions to microplastic pollution in Brazil.
Evolution strategies for collaborative governance of marine microplastic pollution from the industry-research integration perspective
AI summary Read the abstract
Using evolutionary game theory, this study modeled how polluting companies, research institutions, and environmental organizations interact in governing marine microplastic pollution, finding that strong and sustained financial penalties are the most effective policy lever for getting industry to comply. The model also revealed that government credibility and the engagement of research institutions are critical — without them, even stiff fines may fail to produce lasting change.
Research digests by email
When a large batch of papers lands in the Atlas, we read through it and send a short write-up of what stood out.