Bushland Condition Monitoring Nature Conservation Society of SA
Bushland Condition Monitoring
Nature Conservation Society of SA
Why assess vegetation condition?• inform decision making- knowledge of vegetation
condition needed at multiple scales for decision making and prioritisation
• report on outcomes- condition monitoring needed to report on outcomes from management actions and investments
• understanding of causal links- improved understanding needed of causal links between threats, management actions and vegetation condition
Trade-offs
expertise
number of sites
data type
technical resources required
magnitude of change detectedhuge tiny
time & costextravagantshoe
string
absolutely anyone
trained expert
subjective
0 ∞
objective
readily available IT junkie
Considerations when designing BCM methodologyDevelop a method that:
• provides land managers with feedback relating to the impact of management action and threats
• can be implemented by NRM practitioners, community members and land managers, without the need for high level scientific research expertise
• reports on multiple vegetation condition parameters• allows flexibility to be applied at multiple spatial scales• requires minimal time, resources and equipment to implement whilst
retaining value of data collected• is complementary to existing datasets and survey methodology • has the ability to detect an appropriate degree of difference in vegetation
condition to inform NRM decisions and investment allocation and to report on the outcomes of investment
BCM methodology• Uses repeat measures to assess change over time• Well defined & permanently marked assessment site• Measurements largely based on 30 x 30m quadrat chosen
to be representative of the bushland area being assessed• Produces an individual score for each parameter or
indicator• Parameter scores can be compared to Vegetation
Community Benchmarks• Provides instant feedback/interpretation of assessment• Intensive 2 day training is required• ~2hrs-1/2 day per site
Indicators assessed1. Plant Species Diversity2. Weed Abundance and Threat3. Structural Diversity – Ground Cover & Plant Life
Forms4. Regeneration5. Tree & Shrub Health 6. Tree Habitat Features7. Feral Animals8. Total Grazing Pressure9. Fauna Species Diversity10. Bushland Degradation Risk
Vegetation Community Benchmarks• Values obtained for each indicator dependent on
both condition and the vegetation type being assessed
• Vegetation Communities are based on groups of Vegetation Associations with similar structure and composition of vegetation
• Comparison of field data to benchmark values for a particular community type thus allows for expected variation in indicators as a result of belonging to that vegetation community
• At the site scale, there is quick feedback of results that do not require further analysis
Current statusBCM used for biodiversity assessments in:Upper South East Biodiversity Trading, BushBids (eastern MLR)Candlebark woodlands (MLR), Bush for Life, On-ground works
assessment (NY NRM region)
Approximately 1500 sites established375 people trained
Manuals published: Southern Mt Lofty RangesSouthern Mt Lofty Ranges CoastalNorthern Agricultural and Yorke Peninsula regions
Eyre Peninsula and SA Murray-Darling Basin manuals published by Summer 08/09
Existing SABAT/BCM sites
Testing the methodologyTrial to gain insights into surveyor consistency as well as the ability of
surveyors to detect differences between different sites. This would provide an indication of the ability of the BCM method to detect
real change at a site, as compared to change that may be due to the skill or bias of different observers.
Five different practitioners who had been trained by NCSSA and had been using the BCMM in field situations independently scored four different sites that had been marked out within an area of the Waite Reserve in the Adelaide Hills.
Each site belonged to a similar vegetation association (Eucalyptus camaldulensis/Eucalyptus leucoxylon woodland) but sites were chosen to represent different condition classes in the poor to moderate range
Mean species richness scores for five observers
0
5
10
15
20
1 2 3 4
Site number
Spe
cies
Ric
hnes
s A
vera
ge S
core
(+-S
D)
Mean structural diversity scores for five observers
02468
1012
1 2 3 4
Site number
Str
uctu
ral D
iver
sity
P
lant
Life
For
ms
scor
e (+
-SD
)
Power to detect change in tree health
Degree of Change in Tree Health
Number of Trees Scored
Low (10% change in tree health)
High (30% change)
10 63% 85%
40 75% 98%
Table 1: Predicted power of tree health data to detect change (Note that α = β as discussed by Field et al 2007)
Compatibility with state and transition models• BCM does not assume a linear model for condition
trajectories (measuring multiple parameters) • 5 condition classes in 11 indicators allows for 511
possible condition states (approx 50 million)• Data collected could inform development and
refinement of state and transition models (eg BushBids predicted versus real response)
Prolonged Domestic Grazing has led to:Moderate species diversity, Moderate weed abundance & threat, Poor structural diversity, Lack of regeneration of woody trees & shrubs, High total grazing pressure
Reduced domestic grazing leads to:Higher weed abundance and threat Due to lack of competition:An increase in grazing feral animals Other Associated Consequences:Loss of species diversityReduction of structural diversity
Protection from grazing leads to:Increased species diversity
Lower total grazing pressureRegeneration of woody perennials
Increased structural diversityIncreased ground cover
Intended application of Bushland Condition Monitoring ToolDetect condition change over time, investigate causal factors, link to management regime
Comparison of condition information from 2 sites
Value of site based information• site based data needed to build and support
predictive spatial modeling• site based data forms a foundation for expert
opinion• collection of site based data can contribute
to building capacity of land managers and community
• guides investment decisions• used to report on outcomes
BCM was not designed to• provide information relating to the autecology of a
species eg:• spatial or temporal information on individual
species abundance • species interactions
BCM provides quantified measure and interpretation of universally accepted biodiversity surrogates that allows for valid comparison in these surrogates spatially or temporally
SABAT/Bushland Condition Monitoring Database
Species Diversity/ Richness Score Indicator Rating
Weed Abundance and Threat Score Indicator Rating
Structural Diversity Plant Life Forms Score Indicator Rating
Tree and Shrub Regeneration Score Indicator Rating
Total Grazing Pressure Score Indicator Rating
Tree Hollow Score Indicator Rating
Tree Health - Dieback Score Indicator Rating
Tree Health - Mistletoe Score Indicator Rating
Tree Habitat Value Score Indicator Rating