Identification of emerging Categorising the Developing and using Derivation of levels of contaminants and chemicals and other transport, emerging contaminants of transformation and contaminants that potential impacts to enable proactive management concern and their source-to-sink models represent concerns to potential impacts on ecosystem health and Tracking and flora and fauna human health; their forecasting the sources and sinks chemical environment identified in district plans. Understanding Clear definition and Development, Good time-series data trajectories of change, examples of tipping guidance and use of and statistical thresholds and tipping points and thresholds interoperable models analyses are used in a points to better predict at the single-species within a threshold response to the state of fresh water and ecosystem scales, context inform policy and and its values so there is a consistent management approach to avoidance Linking these data to of such occurrences models of terrestrial and freshwater production systems and to desired environmental flow and water quality conditions in rivers, lakes, groundwater and wetlands Tools, processes and policies Improved knowledge Modelling Ecosystems are to scale up freshwater of restoration consequences of connected in policy ecosystem restoration that: trajectories in a of restoration actions for and management scales in time and ecosystems, species approaches (ki uta ki are cost-effective space, and the and economics tai) address the range of capability to measure pressures facing these change and responses systems (including to mitigation pressures) approaches deliver essential biodiversity outcomes (eg, habitat, taonga and threatened species) enhance ecosystem services Knowledge and tools for Identifying, classifying Use of tools Successful models of communities, iwi and hapū and prioritising (eg, Bayesian restoration are to best determine and ecological, cultural and Knowledge Networks) adapted and refined achieve the environmental social values (including and resulting according to conditions that meet their mātauranga Māori) in visualisations within a community and aspirations at the catchment freshwater bodies collaborative aspirations and results scale community context to incorporated into Identify key drivers of create and test local/regional policy change, eg, management scenarios sedimentation, nutrients, climate change Modelling, monitoring, data Identifying Developing Management and infrastructures, and data comparative sentinel interoperable models policy are informed systems for fresh water that sites and indicators that include economic dynamically by use of incorporate: across the range of consequences, indices a variety of models,
Identification of emerging contaminants and potential impacts to enable proactive management Categorising the chemicals and other contaminants of concern and their potential impacts on flora and fauna Developing and using transport, transformation and source-to-sink models Tracking and forecasting the chemical environment Derivation of levels of emerging contaminants that represent concerns to ecosystem health and human health; their sources and sinks identified in district plans. Understanding trajectories of change, thresholds and tipping points to better predict the state of fresh water and its values Linking these data to models of terrestrial and freshwater production systems and to desired environmental flow and water quality conditions in rivers, lakes, groundwater and wetlands Clear definition and examples of tipping points and thresholds at the single-species and ecosystem scales, so there is a consistent approach to avoidance of such occurrences Development, guidance and use of interoperable models within a context Good time-series data and statistical analyses are used in a threshold response to inform policy and management Tools, processes and policies to scale up freshwater ecosystem restoration that: are cost-effective address the range of pressures facing these systems (including pressures) deliver essential biodiversity outcomes (eg, habitat, taonga and threatened species) enhance ecosystem services Improved knowledge of restoration trajectories in a of scales in time and space, and the capability to measure change and responses to mitigation approaches Modelling consequences of restoration actions for ecosystems, species and economics Ecosystems are connected in policy and management approaches (ki uta ki tai) Knowledge and tools for communities, iwi and hapū to best determine and achieve the environmental conditions that meet their aspirations at the catchment scale Identifying, classifying and prioritising ecological, cultural and social values (including mātauranga Māori) in freshwater bodies Identify key drivers of change, eg, sedimentation, nutrients, climate change Use of tools (eg, Bayesian Knowledge Networks) and resulting visualisations within a collaborative community context to create and test management scenarios Successful models of restoration are adapted and refined according to community and aspirations and results incorporated into local/regional policy Modelling, monitoring, data infrastructures, and data systems for fresh water that incorporate: Identifying comparative sentinel sites and indicators across the range of Developing interoperable models that include economic consequences, indices Management and policy are informed dynamically by use of a variety of models,
conservation-and-environment-science-roadmap.docx