Local to national, Dr Lee Belbin, ACEAS Grand 2014

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Local to national – the capacity for increasing the spatial scale of monitoring. Dr Lee Belbin, ACEAS Grand 2014

Environment Technology

Local To National
The Capacity For Increasing The Spatial Scale Of
Monitoring
Lee Belbin

Don Stevens, Tim Page, Simone Langhans, Melissa Dobbie,
Stuart Bunn, Lee Belbin, Peter Negus
Jon Olley, Janet Stein, Wayne Robinson, Bruce Chessman, Nick
Bond, Ben Stewart-Koster
Fran Sheldon, Erin Peterson and Trefor Reynoldson

Monitoring
• Monitoring is used for water supply, conservation planning,
water quality, state of environment reporting, management
and detecting disturbance
The Australian

Issue 1
• Monitoring happens at site or local scale but management
happens on catchment or regional scale

Issue 2
• Aggregation of local to regional information is currently
inconsistent
expatify.com)

Issue 3
• Assessment is difficult in areas of low or no data
expatify.com)

Question
• Can a spatial modelling approach predict ecosystem health
along stream networks for entire catchments?
The Australian

Indicator Selection
The spatial-temporal characteristics of
remotely derived covariates of an indicator
must be suitable for prediction
Seining for fish (photo: Fran Sheldon)

Survey Design
The survey design must ensure that the
locations of data are suitable for model-
based predictions and maintain statistical
integrity
Flinders River (photo: Fran Sheldon)

Assessment
Survey and model-based
data must be
quantitatively integrated
into the assessment
process
Data Collection
Set objectives
Spatially-explicit
Design- based Protocol
Fit Model, Make
Predictions, &
Quantify Uncertainty
Covariate data
(spatially extensive)
Model based
Conceptual Model
Development &
Indicator selection
±Havewemetourobjectives?
Isuncertaintyacceptable?
Reporting
Scenarios
1
2
3
4
5
Indicator data
Designbased
Identify the areas of
greatest uncertainty
and bias
Assessment
6
7
9
10
Data Collection
Set objectives
Spatially-explicit
Design- based Protocol
Fit Model, Make
Predictions, &
Quantify Uncertainty
Covariate data
(spatially extensive)
Model based
Conceptual Model
Development &
Indicator selection
±Havewemetourobjectives?
Isuncertaintyacceptable?
Reporting
Scenarios
1
2
3
4
5
Indicator data
Designbased
Identify the areas of
greatest uncertainty
and bias
Assessment
6
7
9
10

Uncertainty
Uncertainty must be accounted for during the
assessment and reporting process.
Uncertainty should also feedback into the survey-
design phase to identify areas where more or less
data are required
Murray River (photo: Doug Ward)

Scenarios
Spatially explicit management scenarios allow
cause-and-effect linkages to be explored
http://www.waterencyclopedia.com/Re-St/Stream-Ecology-Temperature-Impacts-on.html

Reporting
Design and model-based reporting using innovative
visualisation techniques (e.g. continuous maps of
condition, trend, and uncertainty) aid communication
with stakeholders.
http://alchemistclub.wikispaces.com/What+is+a+stream%3F

Summary
The workshop outcome maximises the use of data
from design-based assessments and provides a
framework for future monitoring programs that
combine design-based assessment with spatial-
modelling.
Getty images

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Environmental-economic accounting aims to integrate environmental data with economic metrics to provide a comprehensive assessment of the interrelated natural and economic systems. It draws on concepts from various disciplines to establish relationships between environmental stocks and flows and represent them physically and monetarily in standardized accounts. Countries have developed systems like the UN's System of Environmental-Economic Accounting to produce regular reports integrating these domains and identify information gaps. While complex, accounting benefits decision-making by making environmental and economic trade-offs more transparent.

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Three critical failures of soil science and opportunities to overcome them

Cobweb: Using citizen science data to support flood risk modelling

COBWEB Project

D1T3 enm workflows updated

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Updating Ecological Niche Modeling Methodologies

Soil and Water Conservation Society

qdata.ppt here its applications, intcator research

anvigyanag

Harmel - Monitoring to Support and Improve H/WQ Modeling

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Lowry colorado state address dataset data quality

GeCo in the Rockies

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tomensom

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David Clifford_Uncertainty of soil attribute estimates based on disaggregation

TERN Australia

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