Examples of opportunities and outcomes for research topics Outcomes Needs Opportunities Translation into policy and Research topics Basic knowledge Practical application management Examples of possible outcomes when knowledge Examples of types of Examples of models, needs and innovation knowledge needed to research approaches, or opportunities are achieved populate models, develop technologies that build on to inform management tools, and inform policy basic knowledge and policy Ongoing monitoring of Developing and Citizen science provides New technological deploying innovative opportunities for data developments will natural and managed ecosystems and tools for efficient and collection and provide user-friendly, services to track changes cost-effective engagement linked science/policy in physical conditions gathering of data response data for over time improved policy and Integrated, management Integrating data and remote metadata to generate sensing technology high-level, ecosystem-wide monitoring and reporting Delivery of data to stakeholders Using mātauranga Defining indicators and Developing data Ability to assess the Māori-based monitoring monitoring variables to products, delivery significance of the to inform research and capture mātauranga systems, and tools that environment from a citizen science to Māori and the state of incorporate mātauranga Māori perspective generate new insights mauri indicators Mātauranga indicators into trends support kaitiakitanga and help improve environmental outcomes overall Land-use data, Developing an official Linking data on farm Resource management classifications, and dataset with an practice and applications facilitate management appropriate level of environmental impact to optimal use of land to detail for both local financial and other achieve environmental and national coverage, relevant data, such as and economic using standard land- GIS and census data objectives, including classifications included through the water quality and integrated data climate change infrastructure. Improved and Access and availability Large scale datasets with More timely, robust and methods for data of data and metadata spatial granularity comprehensive data is gathering and utilising available to quantify the New tools and data management in the forms of state of the marine infrastructure for marine domain mapping and environment at a marine data interpretation national level monitoring including: Data allows improved ocean acidification assessment of impacts and warming of fishing and other native marine birds activities on coastal and and mammals open ocean ecosystems coastal habitats and species deep-water habitats and species
Examples of opportunities and outcomes for research topics Research topics Needs Basic knowledge Opportunities Practical application Outcomes Translation into policy and management Examples of types of knowledge needed to populate models, develop tools, and inform policy Examples of models, research approaches, or technologies that build on basic knowledge Examples of possible outcomes when knowledge needs and innovation opportunities are achieved to inform management and policy Ongoing monitoring of natural and managed ecosystems and services to track changes in physical conditions over time Integrating data and metadata to generate high-level, ecosystem-wide monitoring and reporting Delivery of data to stakeholders Developing and deploying innovative tools for efficient and cost-effective gathering of data Integrated, remote sensing technology Citizen science provides opportunities for data collection and engagement New technological developments will provide user-friendly, linked science/policy response data for improved policy and management Using mātauranga Māori-based monitoring to inform research and citizen science to generate new insights into trends Defining indicators and monitoring variables to capture mātauranga Māori and the state of mauri Developing data products, delivery systems, and tools that incorporate mātauranga indicators Ability to assess the significance of the environment from a Māori perspective Mātauranga indicators support kaitiakitanga and help improve environmental outcomes overall Land-use data, classifications, and management Developing an official dataset with an appropriate level of detail for both local and national coverage, using standard classifications Linking data on farm practice and environmental impact to financial and other relevant data, such as GIS and census data included through the integrated data infrastructure. Resource management applications facilitate optimal use of land to achieve environmental and economic objectives, including water quality and climate change Improved and methods for data gathering and management in the marine domain Access and availability of data and metadata New tools and data infrastructure for marine data monitoring including: ocean acidification and warming native marine birds and mammals coastal habitats and species deep-water habitats and species Large scale datasets with spatial granularity utilising forms of mapping and interpretation More timely, robust and comprehensive data is available to quantify the state of the marine environment at a national level Data allows improved assessment of impacts of fishing and other activities on coastal and open ocean ecosystems land-
conservation-and-environment-science-roadmap.docx