Because New Zealand's ocean is vast, complex and dynamic we will probably never have all the information we need to fully understand marine functions and processes or the effects of our activities on the ocean. However, with smart planning and investment we can build a robust information base and sound tools to help us make the best possible decisions about how our ocean is used and managed into the future. The question is: what steps are needed to achieve this?
In Part 1 we explore the issues relating to the collection and distribution of information for priority setting, asking:
Current information needs are determined by a diverse range of existing management priorities and objectives, based on guidance set out in legislation, policies, strategies and plans. Many of these objectives have been determined without reference to an integrated set of priorities or objectives for national ocean management as a whole. Often they have been set without reference to:
Any national priorities set under the Oceans Policy will need to address key threats and opportunities for the management of our ocean - across social, cultural, economic and environmental dimensions of sustainable development. We can therefore expect the information needed to set these priorities to include both values-based information and empirical information.
Values-based information is needed about people's preferences for the management of our ocean - what aspects of the ocean are important to people. A large part of the Oceans Policy exercise to date has been the collation of information about how people would prefer the ocean to be managed and what things they value about it. The potential scope is reflected in the vision and high-level objectives and principles contained in the draft Oceans Policy, which were drawn from the document Healthy Sea, Healthy Society: Towards an Oceans Policy for New Zealand (Ministerial Advisory Committee on Oceans Policy, 2001).
Over time these values may need to be reviewed as people change their preferred uses and values. There may also be a need for more detailed values-based information in relation to specific ocean management issues.
Empirical information will be needed about the nature of the environment itself, including:
The Ocean Survey 20/20 project is embarking on the ambitious task of developing a comprehensive set of empirical data about our marine environment. The remainder of this section scopes the range of information that could be collected as part of the Ocean Survey 20/20 project and other complementary projects, to assist with Oceans Policy priority setting. It does not delve into the criteria for deciding what information should be collected first and where, because this is part of the Ocean Survey 20/20 work programme development. However, we anticipate that in order to maintain an adaptive approach to management, the information needs driven by Oceans Policy and the information gathered through the Ocean Survey 20/20 project will inform each other over time.
A model for detailing specific information needs is provided by the approach adopted by the National Oceans Office of Australia (2002) as part of its impact assessment work. As part of the project leading up to this report, we convened two workshops to test ways of modifying the Australian approach to better reflect the New Zealand context. A panel of technical experts was convened to identify and agree on appropriate categorisations for:
The categorisations were completed using expert professional judgement (and agency peer review) and did not involve assessing impacts per se, or evaluating actual changes in relation to specific environments, habitats, activities or uses.
The results of this process are set out in Tables 1-3 on pages 7-9. They provide a basic overview of the types of information that will be needed to make best use of our ocean in future. They could also provide the basis for future impact assessments, as part of a risk-based approach to setting national priorities. [A risk-based approach to setting national priorities is discussed further in Part 2.] However further work will be needed to refine these lists.
Workshop participants recommended, in particular, that:
Refining these lists will provide us with an agreed checklist of 'primary information needs' for the marine environment - basic information about where activities occur, the nature of biodiversity in different marine environments, and the nature of different changes that occur in those environments. However, to identify priorities for management, managers will also need information about the relationships between these data sets. For example, what types of change can be expected to occur in any specific ocean habitat over time? How might different ocean habitats be affected by specific activities or events (both natural and human-induced) into the future?
A second expert workshop was convened in June 2004 to test the extent of our current knowledge and information about these key relationships. The idea was to attempt to summarise, for the whole of New Zealand's Exclusive Economic Zone, the extent of current knowledge or information about where:
Again, the workshop adopted a simplified version of the approach taken by the Australian National Oceans Office during development of the South-East Regional Marine Plan (see Australian National Oceans Office, 2002). Participants used the matrices shown in Figures 2 and 3 (on pages 10 and 11) in an attempt to summarise, for the entire Exclusive Economic Zone, the extent of knowledge about the relationships between each specific environment or activity, and each type of change. Participants were asked to colour-code the matrices to indicate:
This exercise proved very difficult and was, on the whole, unhelpful because it confused two separate questions:
A revised approach is therefore needed to distinguish between these questions. Participants also indicated that a revised approach should be designed:
Table 1: Environment and habitat types
|
Environment/habitat |
Description |
Example(s) |
|---|---|---|
|
Enclosed water |
A body of water bounded on at least three sides by land |
Fiord, bay, lagoon, estuary, harbour |
|
Near shore |
The area of ocean within about 3 km of land, or where the seabed experiences wave energy sufficient to move sandy sediment during storms of normal annual frequency |
|
|
Shelf |
A shallow submarine plain adjacent to the near-shore zone, of varying width, and typically ending at a depth of about 200 m with a steep slope to a plateau, rise or the oceanic abyss |
There are wide shelves off the SW North Island (continuous with NW South Island) and off the Canterbury Bight, for example. The shelf is very narrow off the Kaikoura Coast and Fiordland. |
|
Slope |
A zone of steep gradient and generally irregular morphology (includes submarine canyons) between the shallower shelf and deeper plateau, rise or abyssal plain |
On some transects there are both 'inner' and 'outer' slopes (eg, going SE from Stewart Island); elsewhere a single feature (eg, going NNE from the Bay of Plenty) |
|
Plateau or rise |
A deep submarine plain (generally 500 to 1000 m) of varying width and typically ending in a steep slope to the oceanic abyss |
Campbell Plateau, Chatham Rise |
|
Abyssal depths |
The bottom waters of the ocean depths |
Table 2: Human activities and uses
View human activities and uses (large table).
View types of change (large table).
Figure 2: Matrix showing the extent of current knowledge about the relationships between environments/habitats and types of change
Figure 3: Matrix showing the extent of current knowledge about the relationships between human activities/uses and types of change
Once the range of data needs is identified, the next step is to document, using standard descriptions, the data sets that are currently available and identify where some of the gaps might lie. This section summarises easily available information and explores some of the gaps and issues relating to the collation of currently available information.
There have already been a number of reports and projects undertaken over the past few years to summarise the range of marine data and information held by various agencies throughout New Zealand. Chief among these are.
To add to this body of knowledge, we undertook a data collation exercise for this report culminating in a series of illustrative maps of biodiversity and activities in New Zealand's marine environment (see the maps at the end of this section). The maps were developed for this report to illustrate:
The maps were compiled over a short period (about two months) using data sourced free of charge from a range of groups, organisations and individuals. They may not represent the best available information or the full range of information that might be useful for setting future national ocean priorities, but they are a start. In the future, better information might be aggregated from distributed sources (such as regional councils) or transformed from non-GIS formats (such as hard-copy charts). Section 1.3 of this report discusses the options for improving access and aggregating information already available.
Electronic copies of maps 1-20 are provided on the CD-ROM that accompanies this report. Further information about the data used in the maps, and where it was sourced, is contained in Appendix 1 (and in an electronic copy on the CD-ROM).
As noted above, other policy initiatives (such as development of the National Aquatic Biodiversity Information Strategy, Oceans Policy, and the proposed Coastal Resources Atlas) have revealed a number of key gaps in the availability of information for management purposes. The process of compiling the maps in this section also revealed a number of gaps in, and barriers to accessing, spatial information that might be needed to set future national ocean priorities. Table 4 below provides a full assessment of the issues we faced in collecting the data for each map, which can be summarised as follows.
Table 4: Information gaps and barriers identified through map compilation
View information gaps and barriers identified through map compilation (large table).Map 1: Administrative and jurisdictional boundaries
Map 2: Seabed, rivers and estuaries
Map 3: Inshore marine protected areas
Map 4: Seamounts closed to trawling
Map 5: Marine mammals and seabirds
Map 6: Benthic invertebrate, algal, and plant biodiversity
Map 8: Recreation - boating and diving
Map 9: Ocean discharges and dumping
Map 10: Petroleum industry seismic surveys
Map 11: Mining, petroleum and undersea cables
Map 12: Mining and petroleum in Taranaki
Map 14: Commercial fishing - snapper catch
Map 15: Commercial fishing - orange roughy catch
Map 16: Commercial fishing - snapper distribution
Map 17: Commercial fishing - orange roughy distribution
Map 18: Commercial fishing - red rock lobster distribution
Map 19: Commercial fishing industry employment
Map 20: Title extending below mean high water
The limitations of our information base, such as those discussed in section 1.2, mean that tools and models for interpreting and extrapolating from information that we do have are vital.
Three different types of information-based tools are needed in setting national priorities for ocean management:
A number of information-based tools have been, or are being, developed that can help decision-makers source, access and interpret existing marine data and information. These include the following.
Together, these initiatives offer a valuable platform for future work.
Data and information can be made available to those who need it in a number of formats: eg, reports and articles, spreadsheets, relational databases, lists, pictures, maps, and co-ordinates. And it can be conveyed in a variety of ways: in hard copy files, or in electronic files down-loaded from discs, e-mails or the internet.
A significant problem that often faces people wishing to access existing data is that they must approach a large number of different sources to obtain it - which poses considerable costs in terms of both time and expense. They then have to figure out how to aggregate data presented in a range of different formats and to a variety of standards - a technical exercise at best.
Geographic Information Systems (GIS) offer a powerful way around these problems. GIS essentially involves mapping different data layers (eg, species distribution, infrastructure, commercial activities) to provide a combined picture of information relevant to a specific management question. The maps at the end of section 1.2 provide examples using real data about New Zealand's marine environment.
GIS technology has not been widely or consistently used by government departments to date. This is due mainly to cost, data access constraints, [For example, the Maritime Safety Authority has had a challenging and, at times, frustrating experience in trying to build a Coastal Resources Atlas to support planning and management of oil spills.] and the fragmentation of ocean management functions.
However, several valuable GIS tools are being developed to provide access to existing data in formats that assist interpretation (ie, map formats). The National Aquatic Biodiversity Information System (NABIS) has recently been launched, and a number of other tools are under development, but not yet in place - including the proposed Coastal Resources Atlas and the Marine Environments Classification system. Also, the Department of Conservation is using GIS-based tools to map marine protected areas (see for example Froude and Smith, 2004), and a number of councils are in the process of mapping marine ecosystems [In a recent survey (Ministry for the Environment, 2004) the Ministry for the Environment asked councils whether they had mapped marine ecosystems on paper or using GIS. The results show that:
using GIS.
These systems are being designed to meet a range of different purposes. For example, NABIS is designed mainly to assist fisheries management, the Coastal Resources Atlas to assist with planning for oil spill responses, and the Marine Environments Classification system has been designed as an environment-based tool for planning, environmental monitoring and reporting and management. Together, however, they comprise valuable layers of information for informing a range of management purposes. In combination they could provide a powerful system to draw information together and make it available to a range of decision-makers.
GIS technology is already sufficiently advanced that, in future, customised maps such as those at the end of section 1.2 could be generated through a web-based portal that draws on data distributed throughout New Zealand. Such a portal would be accessible to everyone, and provide a powerful means to integrate across a wide range of existing data held by various institutions nationwide. Further benefits would include the ability for:
Preliminary work by the Australian National Oceans Office to build a national Oceans Portal provides a useful model for potential adaptation to the New Zealand context. [See http://www.oceans.gov.au/oceans_portal.jsp for more information about the Australian Oceans Portal proposal.] Several issues would need to be addressed in order for the development of a national ocean portal to be feasible, however. These include the need for:
Decision-makers often face difficulties in determining what data is available to assist them in making the best decisions about the use and management of the ocean. This can result in decisions being made in the absence of the best available information, or duplication of effort and cost to collate data that already exists elsewhere.
Meta-databases provide a solution to these problems. They index information about where existing data is held, by whom, in what format, and to what quality standards. They help decision-makers identify which existing data is best suited to their purposes, and who they can contact to negotiate terms for its use.
There is currently no comprehensive meta-database of information about New Zealand's marine environment and its uses. However, several initiatives do offer a platform on which a future marine meta-database could be built. These include:
To provide a platform for a more comprehensive, web-based meta-database of marine data and information in future, these databases and inventories would need to be enhanced with other key data sources to support decisions across the full spectrum of ocean issues. A whole-of-government approach - and preferably co-operation from agencies outside government - would be needed to achieve this.
Interpretive tools provide the means for decision-makers to aggregate and analyse across a number of data and information sets, and to extrapolate from information-rich to information-poor areas or issues. They are therefore vital tools for managing in the context of uncertainty and limited information about the marine environment, how it functions and the impacts of human activities on it.
Key examples of interpretive tools being developed in the context of New Zealand's marine environment have been discussed earlier in this section, and include:
The Marine Environments Classification system is a valuable tool for marine ecosystem depiction. Figure 4 (page 24) illustrates the eight data layers used to derive the EEZ-scale classification, and illustrates the draft classification at the 20 group (EEZ) and regional (Hauraki) scales. Maps of the draft EEZ-scale classification are provided at the end of section 1.3; and a detailed explanation of those maps is contained in Appendix 2.
Since these draft maps were produced, the classification system has been completed, and is now available from the Ministry for the Environment in DVD format (Ministry for the Environment, 2005). It will be made available to marine managers and decision-makers for application across a range of management questions. A whole-of-government approach will be needed for any new work to further develop or improve the classification. A report on the potential for improving the Marine Environments Classification has been completed as part of the classification project to inform decisions about further work.
The Marine Environment Classification system could provide a valuable platform for the web-based national ocean portal proposed earlier in this section, due to the key data layers that comprise it and its power as a model for ecosystem depiction.
Figure 4: The draft Marine Environments Classification
See figure at its full size (including the text description).
Draft Marine Environments Classification - 4 Class Level