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Summary of full report
A report for the RIRDC/Land & Water Australia/FWPRDC Joint Venture Agroforestry Program
by Ross J Peacock
January 2008
RIRDC Publication No 08/004 RIRDC Project No UMA-18A
Executive summary
What the report is about
Biodiversity surrogates
and related metrics are techniques which have been developed to rapidly
assess vegetation structural and compositional status and to score or rank
expected habitat biodiversity value.
The metrics include assessment of forest stands relative to regional benchmarks, and the connectivity to nearby remnant vegetation. This report examines the applicability of biodiversity surrogates and their compiled metric scoring systems to assessing forest condition, and hence the ecological sustainability, under different forest management inputs. Four private native forest case studies were examined in northern NSW, eastern Victoria and southern Tasmania.
The report provides recommendations for forest managers and regulators of the industry on those elements of the existing metrics which have value in a private native forestry context. It outlines a process for the development of surrogates and metrics which attempts to directly address the sustainability of private native forestry, rather than focusing on vegetation quality or condition as in the existing schemes.
Who is the report targeted
at?
The report has direct relevance
to private and public forest managers who are required to test, evaluate
or benchmark their forest management activities against sustainability
criteria which use biodiversity surrogates or metrics. It will also be
of interest to researchers, policy makers and policy administrators involved
in native forest and natural resource management. The metric scoring systems
assessed in this report have intended application through Commonwealth?State
natural resource management partnership agreements, and through implementation
by regional catchment authorities.
Background
Governments are increasingly
using biodiversity surrogates and their compiled metric scoring systems
to support national and state-based vegetation management frameworks, to
value and monitor market based investments in vegetation rehabilitation
or restoration, and to monitor compliance with environmental standards
and certification schemes.
Biodiversity surrogates offer a convenient means of assessing a forest stand’s structural and compositional status and its inferred ability to provide habitat and resources for local populations of plants and animals. Indices or metrics based on summarising these surrogates also offer a convenient way to rank or compare different stands and then translate those results into monitoring frameworks or onground actions. Habitat Hectares and Biometric are the two most widely used measures of vegetation quality or condition in Australia, with both schemes being customised to either formal policy frameworks or legislation. Biometric and Habitat Hectares were designed to implement vegetation policy instruments which seek to apply a ‘improve or maintain’, ‘no net loss’ or ‘net environmental benefit’ test to assessing vegetation change. These systems assess within a property vegetation type, the extent, condition and regional context where a landholder intends to clear native vegetation, to receive incentive management payments, or apply appropriate offset mechanisms for land use change.
The convenience of the above approaches and the tendency to relate index scores to stand management history and by inference a cause and effect relationship is problematic. Private native forests contribute a large component of hardwood supply in Australia as well as regional natural resource values, and are increasingly important as supplies from public native forests diminish – their management is important and occurs over long time periods. The suitability of the metric scoring systems to assess the ecological sustainability of different forest management actions such as clearfelling, thinning or selective harvesting, or measure the recovery of forest condition with time after these actions is debateable, when their primary focus is on the implications for vegetation condition of a change in land use.
Aims/Objectives
This study aimed to:
The study focuses on
the utility of the component biodiversity surrogate measures within each
metric for assessing forest vegetation quality and condition.
Methods used
Data from four case studies
was used to compare the performance of the site condition component of
Habitat Hectares, and the site value component of Biometric, as measures
of the sustainability of private native forestry.
The project methods were to:
In the four case studies,
the biodiversity surrogates were assessed against the known forest management
inputs, with a wide range of independent variables collected from detailed
vegetation, ecological, fauna and timber assessments. The assessment of
the Biometric and Habitat Hectares systems focussed more on their component
biodiversity surrogates (e.g. plant species richness, fallen log volume)
and less on their compiled metric scores, which are highly dependent on
vegetation landscape context and the form of the additive or multiplicative
terms used to derive the summary values. In order to provide a meaningful
comparison, the analyses presented are limited to those variables in common
across the studies, or those present in at least two of the studies.
Results/Key findings
The Biometric and Habitat
Hectare systems differ in the nature of their biodiversity surrogates,
and the degree to which the raw values for the biodiversity surrogates
are converted into information based on benchmark values or predicted values
over time or with a given management type (e.g. cattle grazing, weed control).
In Biometric, the biodiversity surrogates are weighted largely upon their
ease of replacement (e.g. hollow bearing trees or plant species richness);
in Habitat Hectares they are weighted by vegetation quality criteria such
as the existing cover and richness of plant life forms, the presence of
large trees and site weediness. The Biometric system places more emphasis
on vegetation and habitat condition using functional criteria, the Habitat
Hectares system places more emphasis on vegetation quality or compositional
criteria.
The empirical assessment of individual biodiversity surrogates often produced variable results or was highly context dependent. The majority of the surrogate attributes appeared insensitive to forest management, although their sensitivity was relative to the benchmark values adopted for the particular ecological community and the systems used to categorise and score the field values. A number of surrogates examined, for example hollow bearing trees, large trees in excess of the benchmark size class, and a small number of late successional faunal groups, were useful in discriminating between sites with different forest management treatments, that is, mature and regrowth forests.
The cumulative site metrics were able to demonstrate compliance with sustainability policy criteria such as the Victorian Native Vegetation Management Framework with relative ease. The implication was that harvesting systems which retain a component of mature forest stand structures, either via variable retention or patch retention systems, will be more likely to score highly in the offsets policy 10 year threshold. However this study does not interpret this as evidence that the forest management regime is sustainable or the policy requirement is appropriate. Too much uncertainty exists in the outcomes of forest management actions for a policy as simple as a site reaching 50% of the pre-harvest site quality score within 10 years to be considered ecological sustainable.
The highly variable results of the ecological surveys conducted in the regrowth and mature forest stands illustrates the difficulty of not only using surrogate attributes to predict species occurrences, but of interpreting complex species-environment relationships using additive or muliplicative biodiversity metric scores. Components of the site condition score of Habitat Hectares and the site value score of Biometric do however have the potential to form part of a reconfigured index or measure of the sustainability of private native forestry, once additional criteria such as stand structural diversity are included and ecologically sustainable forestry is elaborated in a form related directly to the individual surrogate measures and their benchmark values.
Implications for relevant
stakeholders
The studies reported here
represent some of the first available in eastern Australian to quantitatively
assess, using independent data, the value of biodiversity metrics in predicting
ecological change. The quantitative field data which was collected serves
to illustrate the value of underpinning land management decisions with
transparent metrics rather than expert-based systems or qualitative policies
or prescriptions that are not amenable to such direct examination. Having
documented, transparent and quantitative metrics means that the data can
be critically examined, a key feature of any public policy instrument.
The results of this study indicate that biodiversity surrogates and to a lesser extent compiled metrics have considerable potential in the assessment and monitoring of private native forestry – such as environmental and operating compliance with standards for vegetation and ecologically sustainable forest management.
Components of the metrics and scoring systems were useful in examining the sustainability of private native forestry; however the framework they were developed for (vegetation quality or condition) is not the same framework needed to examine native forests managed for, among other values, a flow of wood products. Critics of these metrics need to be mindful. Both Habitat Hectares and Biometric were developed with a specific suite of policy and operation criteria, and any metric developed for a private native forestry application would need to do the same.
For a new biodiversity metric
to be derived to assess the condition of managed private native forests,
clear objectives and operational setting are required. An approach could
be:
Recommendations
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