loweswater: a case study on the importance of ‘local’ scale for ecosystem management lisa...
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Loweswater: a case study on the importance of ‘local’ scale for ecosystem management
Lisa Norton, Claire Waterton, Judith Tsouvalis, Stephen Maberly, Linda May,
Alex Elliott, Nigel Watson, Ken Bell, John Rockliffe, Leslie Webb, and the Loweswater Care Project.
RELU aims to help deliver
• Modern, sustainable and competitive farming• Protection of the environment• Beneficial social and economic outcomes
Interdisciplinary science
Stakeholder engagement
Knowledge transfer
Introduction to the Rural Economy and Land Use programme
Co-sponsored by Defra and SEERAD
http://www.esrc.ac.uk/relu
Understanding and acting within Loweswater – Community catchment management
Soil – nutrient cycling, climate regulation, air quality, biodiversity
Landscape – cultural, recreationaesthetics, inspirations, heritage etc
Fresh water – quality and quantity
Food production
Loweswater
Loweswater
A small dispersed rural community of ~100 residents, predominantly over 50 years old including 8 farmers and a high proportion of ‘incomers’ choosing to live in a beautiful landscape.
Loweswater Care Project
The Loweswater Care Project (LCP) is a grassroots organisation made up of local
residents, businesses, farmers, ecologists, sociologists, agronomists,
environmental agencies and other interested parties. We work collectively to
identify and address catchment-level problems in an inclusive and open manner.
The LCP’s vision is to gain a better understanding of the diverse challenges faced
by the Loweswater catchment and together to seek economically, socially and
ecologically viable ways forward and put them into practice.
An experiment in rural catchment management
Mission statement
Land management
Biodiversity on land
Biodiversity in water
Nutrients on land
Nutrients lost to water
Economic viability
Community
Landscape structure
Lake structure
Natural England/Defra(CAP)
Environment Agency(WFD)
Lake District National Park Authority
National Trust
Ecological research at the catchment scale
Farmers
Model objectivesTo understand how what is done in the catchment is
related to the algal blooms in the lake
What are the building blocks for the Loweswater model?
Land cover information Land management information and soil P levels for farmed land (local data) Numbers of people (local data) Septic tank condition, use and management (local data) Rainfall (local data) Lake discharge Wind speed Air temperature/humidity Cloud cover Lake data for validation
Loweswater catchment model
Modelling strategy
Collect farm data
Create farm nutrient budget
(PLANET)
Calculate farm nutrient excess
Collect rainfall & flow data
Calibrate rainfall/runoff
model (GWLF)
Generate daily runoff values
Calculate nutrient runoff concentrations
(= nutrient excess/flow)
Generate daily nutrient inputs to lake
(GWLF)
Predict lake response (PROTECH)
Adjust for soil P deficit
Add P losses from septic tank
(as point or diffuse)
Create farm management scenario data
Status quo
Scenario testingLocal weather
Land cover
0
100
200
300
400
S1
S1A
S2
S2A
S3
S3A
S4
S4A
S5
S5A
Phosphorus-load (kg y-1)
Scen
ario
P-loads predicted by the different scenarios
Scenario Description
S1Current land cover & stocking densities(A = Septic tanks as point sources)
S2All farmland changed to deciduous forest(A = Septic tanks as point sources)
S3All improved grassland changed to natural grassland(A = Septic tanks as point sources)
S4No cattle; double sheep(A = Septic tanks as point sources)
S5Double cattle; half sheep(A = Septic tanks as point sources)
Collect farm data
Create farm nutrient budget
(PLANET)
Calculate farm nutrient excess
Collect rainfall & flow data
Calibrate rainfall/runoff
model (GWLF)
Generate daily runoff values
Calculate nutrient runoff concentrations
(= nutrient excess/flow)
Generate daily nutrient inputs to lake (GWLF)
Predict lake response (PROTECH)
Adjust for soil P deficit
Add P losses from septic tank (as point or diffuse)
Create farm management scenario data
Status quo
Scenario testingLocal weather
Land cover
0
2
4
6
8
10
12
14
0 100 200 300 400
An
nu
al m
ea
n c
hlo
rop
hy
ll a
(mg
m-3
)
Phosphorus load (kg SRP y-1)
H:G
G:M
M:P
Chlorophyll production vs SRP load for the scenarios
0
2
4
6
8
10
12
14
0 100 200 300 400
An
nu
al m
ea
n c
hlo
rop
hy
ll a
(mg
m-3
)
Phosphorus load (kg SRP y-1)
H:G
G:M
M:P
S3
S2
S3A
S2A
S1
S1AS5
S4
S5A S4A
Collect farm data
Create farm nutrient budget
(PLANET)
Calculate farm nutrient excess
Collect rainfall & flow data
Calibrate rainfall/runoff
model (GWLF)
Generate daily runoff values
Calculate nutrient runoff concentrations
(= nutrient excess/flow)
Generate daily nutrient inputs to lake (GWLF)
Predict lake response (PROTECH)
Adjust for soil P deficit
Add P losses from septic tank (as point or diffuse)
Create farm management scenario data
Status quo
Scenario testingLocal weather
Land cover
What the modelling shows
• Despite simplifications the three models, PLANET (farm), GWLF (hydrological) and PROTECH (algal) were successfully linked to produce a reasonable simulation of the effect of the land on the lake
• Currently, the lake will need to improve to reach Good Ecological Status for the WFD
• The models suggests that if the load was halved, the lake could be brought to good ecological status (time……). The model could be used as a tool to inform future land-management decisions.
• Septic tanks have a relatively small effect on P and phytoplankton today, but- they can be improved without major changes to way of life and would become increasingly important if P-losses from the land were reduced.
Data/information that is likely to be important but which we don’t have/ haven’t been able to incorporate
Slurry tank/midden stead condition Yard water /waste arrangements Connectivity between waste storage
and water bodies (under normal conditions)
Connectivity between waste storage and water bodies (under extreme weather conditions)
Locations of animal feeders in relation to water bodies
Animal access to water bodies in lake feeder streams
Data limitations, even at this scale
Advantages of working at a local scale with local governance
• Local engagement with ecological problems
• Increased potential to understand the causes of those problems and find solutions (NT/farmers)
• Better understanding and integration between local and national actors, in particular farmers and bodies responsible for environmental quality
• Better understanding within the community itself (residents/farmers)
• Local empowerment
• Improved access to potential funding sources – HLS, LEADER+
Questions
• Is the political system as we know it, with it’s current processes an structures, ready for more radical approaches to public participation in environmental governance?
•Are publics ready to participate having got used to thenotion that the Government will solve ‘things’ for them?
Other aspects of ecosystem management
0 20 40 60 80 100 120
1
2
3
4
5
6
7
8
Fence only
Wall only
Hedge
Lines of trees
Ecological
• Most farmers have diversified • Agricultural income ranges from 32-58% of farm income, • The remaining % is from the Single Payment Scheme or agri-environment schemes. • Total farming profit in the year of the survey was on average £7k.• High variability between the 8 farmers in the catchment in terms of ; farm size, field size, stocking rate, boundary types and management, income and labour• 6 farmers in the catchment are over 50 yrs old, 3 of those have potential inheritors
Economic