“…Scientific studies of effects of single pressures on the marine environment are already wellembedded in assessments but Halpern et al (2008) was the first to assess cumulative human activities and their potential impact at high spatial resolution. This triggered a series of national and regional studies on the effect of multiple stressors on ecosystem components (Crain et al, 2008;Ban et al, 2010;Coll et al, 2012;Korpinen et al, 2012;Micheli et al, 2013;Marcotte et al, 2015;Piggott et al, 2015;Nõges et al, 2016), with each one also aiming to improve the method and bridge caveats of the method (Halpern and Fujita, 2013).…”
Section: Measuring the Response Of Marine Systems To Human Pressuresmentioning
confidence: 99%
“…In the North Sea, Andersen et al (2013) introduced the probability of species occurrence to the index, which is particularly suitable for highly mobile species such as seabirds, marine mammals, and big fish. With regards to pressure data, fuzzy logic was used in the U.K. sea area (Stelzenmüller et al, 2010) and in Hong Kong (Marcotte et al, 2015) to estimate the occurrence of pressures and spatial extent of adverse effects in the grid cells. In the Dutch sea area, the effects on species populations have been linked to the population demography, which allowed ecologically more realistic impact assessments (de Vries et al, 2011).…”
Section: Measuring the Response Of Marine Systems To Human Pressuresmentioning
Traditional and emerging human activities are increasingly putting pressures on marine ecosystems and impacting their ability to sustain ecological and human communities. To evaluate the health status of marine ecosystems we need a science-based, integrated Ecosystem Approach, that incorporates knowledge of ecosystem function and services provided that can be used to track how management decisions change the health of marine ecosystems. Although many methods have been developed to assess the status of single components of the ecosystem, few exist for assessing multiple ecosystem components in a holistic way. To undertake such an integrative assessment, it is necessary to understand the response of marine systems to human pressures. Hence, innovative monitoring is needed to obtain data to determine the health of large marine areas, and in an holistic way. Here we review five existing methods that address both of these needs (monitoring and assessment): the Ecosystem Health Assessment Tool; a method for the Marine Strategy Framework Directive in the Bay of Biscay; the Ocean Health Index (OHI); the Marine Biodiversity Assessment Tool, and the Nested Environmental status Assessment Tool. We have highlighted their main characteristics and analyzing their commonalities and differences, in terms of: use of the Ecosystem Approach; inclusion of multiple components in the assessment; use of reference conditions; use of integrative assessments; use of a range of values to capture the status; weighting ecosystem components when integrating; determine the uncertainty; ensure spatial and temporal comparability; use of robust monitoring approaches, and address pressures and impacts. Ultimately, for any ecosystem assessment to be effective it needs to be: transparent and repeatable and, in order to inform marine management, the results should be easy to communicate to wide audiences, including scientists, managers, and policymakers.
“…Scientific studies of effects of single pressures on the marine environment are already wellembedded in assessments but Halpern et al (2008) was the first to assess cumulative human activities and their potential impact at high spatial resolution. This triggered a series of national and regional studies on the effect of multiple stressors on ecosystem components (Crain et al, 2008;Ban et al, 2010;Coll et al, 2012;Korpinen et al, 2012;Micheli et al, 2013;Marcotte et al, 2015;Piggott et al, 2015;Nõges et al, 2016), with each one also aiming to improve the method and bridge caveats of the method (Halpern and Fujita, 2013).…”
Section: Measuring the Response Of Marine Systems To Human Pressuresmentioning
confidence: 99%
“…In the North Sea, Andersen et al (2013) introduced the probability of species occurrence to the index, which is particularly suitable for highly mobile species such as seabirds, marine mammals, and big fish. With regards to pressure data, fuzzy logic was used in the U.K. sea area (Stelzenmüller et al, 2010) and in Hong Kong (Marcotte et al, 2015) to estimate the occurrence of pressures and spatial extent of adverse effects in the grid cells. In the Dutch sea area, the effects on species populations have been linked to the population demography, which allowed ecologically more realistic impact assessments (de Vries et al, 2011).…”
Section: Measuring the Response Of Marine Systems To Human Pressuresmentioning
Traditional and emerging human activities are increasingly putting pressures on marine ecosystems and impacting their ability to sustain ecological and human communities. To evaluate the health status of marine ecosystems we need a science-based, integrated Ecosystem Approach, that incorporates knowledge of ecosystem function and services provided that can be used to track how management decisions change the health of marine ecosystems. Although many methods have been developed to assess the status of single components of the ecosystem, few exist for assessing multiple ecosystem components in a holistic way. To undertake such an integrative assessment, it is necessary to understand the response of marine systems to human pressures. Hence, innovative monitoring is needed to obtain data to determine the health of large marine areas, and in an holistic way. Here we review five existing methods that address both of these needs (monitoring and assessment): the Ecosystem Health Assessment Tool; a method for the Marine Strategy Framework Directive in the Bay of Biscay; the Ocean Health Index (OHI); the Marine Biodiversity Assessment Tool, and the Nested Environmental status Assessment Tool. We have highlighted their main characteristics and analyzing their commonalities and differences, in terms of: use of the Ecosystem Approach; inclusion of multiple components in the assessment; use of reference conditions; use of integrative assessments; use of a range of values to capture the status; weighting ecosystem components when integrating; determine the uncertainty; ensure spatial and temporal comparability; use of robust monitoring approaches, and address pressures and impacts. Ultimately, for any ecosystem assessment to be effective it needs to be: transparent and repeatable and, in order to inform marine management, the results should be easy to communicate to wide audiences, including scientists, managers, and policymakers.
“…Moreover, our case study shows high variability in CEA/MUC scores between western and eastern coastal areas, this is related to higher number and intensities of human activities along the Italian coasts compared to Slovenian and Croatian ones, but also due to a high heterogeneity in human activities (especially Oil and Gas extraction, aquaculture and shipping) and the number of datasets available from different countries. Concerning the environmental components, higher resolved geospatial datasets on habitats, benthic communities and species (Certain et al, 2015;Marcotte et al, 2015) should be integrated considering their potential sensitivity towards specific anthropogenic pressures (Eno et al, 2013) and with proper classification schemes. While the current dataset incorporates a multitude of endogenic pressures, generated within the system and that can be managed (Elliott, 2011), there is the need to incorporate as well exogenic pressures such as climate change in order to align the methodology to other CEA assessments around the globe (Halpern et al, 2015;Clarke Murray et al, 2015).…”
Addressing cumulative effects, maritime conflicts and ecosystem services threats through MSPoriented geospatial webtools.
AbstractTo solve conservation and planning challenges in the marine environment, researchers are increasingly developing geospatial tools to address impacts of anthropogenic activities on marine biodiversity. The paper presents a comprehensive set of built-in geospatial webtools to support Maritime Spatial Planning (MSP) and environmental management objectives implemented into the Tools4MSP interoperable GeoPlatform. The webtools include cumulative effects assessment (CEA), maritime use conflict (MUC) analysis, MSFD pressure-driven CEA and a CEA-based marine ecosystem service threat analysis (MES-Threat) . The tools are tested for the Northern Adriatic (NA) Sea, one of the most industrialized sea areas of Europe using a case study driven modelling strategy. Overall results show that coastal areas within 0-9 nm in the Gulf of Trieste, Grado-Marano and Venice lagoon and Po Delta outlet are subjected to intense cumulative effects and high sea use conflicts mainly from port activities, fishery, coastal and maritime tourism and maritime shipping. Linking MES into CEA provided novel information on locally threatened high MES supporting and provisioning habitats such Cymodocea beds and infralittoral fine sands, threats to cultural MES are most pronounced in coastal areas. Results are discussed for their geospatial relevance for regional planning, resource management and their applicability within MSP and environmental assessment. 45 50 55 60 65 70 75
“…The method has been widely applied for assessing impacts on marine habitats at global (Halpern et al 2008;Halpern et al 2015) and regional scales (Halpern et al 2009;Ban, Alidina, and Ardron 2010;Korpinen et al 2012;Micheli et al 2013;Batista et al 2014;Holon et al 2015) and has been adapted to assess cumulative impacts to species (Maxwell et al 2013;Marcotte, Hung, and Caquard 2015). The approach is flexible in that it can be used to identify spatial patterns of low and high impact (Halpern et al 2008;2015), inform marine spatial planning (Longley and Lipsky 2013), examine impacts under future scenarios of development and climate change (Clarke Murray, Agbayani, and Ban 2015b), and compare impacts between protected and unprotected areas (Ban, Alidina, and Ardron 2010).…”
Section: Introductionmentioning
confidence: 99%
“…A review of 40 cumulative impact assessments by Korpinen and Andersen (2016) found a majority of the assessments based off the global assessment (Halpern et al 2008) maintain a similar overall framework with some model innovations. While a few assessments have looked at impacts over time (Marcotte, Hung, and Caquard 2015;Halpern et al 2015), none of the assessments have examined seasonal impacts.…”
Introduction: Human impacts on Arctic marine ecosystems are increasing in extent and intensity as sea ice shrinks and utilization of marine resources expands. The effects of climate change are being felt across the arctic while stressors such as commercial fishing and shipping continue to grow as the Arctic becomes more accessible. Given these emerging changes, there is need for an assessment of the current cumulative impact of human activities to better anticipate and manage for a changing Arctic. Cumulative human impacts (CHI) assessments have been widely applied around the world in a variety of ecosystem types but have yet to incorporate temporal dynamics of individual stressors. Such dynamics are fundamental to Arctic ecosystems. Outcomes: Here, we present the first CHI assessment of an Arctic ecosystem to incorporate sea ice as a habitat and assess impact seasonality, using the Bering Strait Region (BSR) as a case study. We find that cumulative impacts differ seasonally, with lower impacts in winter and higher impacts in summer months. Large portions of the BSR have significantly different impacts within each season when compared to a mean annual cumulative impact map. Cumulative impacts also have great spatial variability, with Russian waters between 2.38 and 3.63 times as impacted as US waters. Conclusion: This assessment of seasonal and spatial cumulative impacts provides an understanding of the current reality in the BSR and can be used to support development and evaluation of future management scenarios that address expected impacts from climate change and increasing interest in the Arctic.
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