resilience in working agricultural landscape
TRANSCRIPT
Evidence of Regime Shifts in Agro-ecosystems
Alex O. Awiti1 and Markus G. Walsh2
1The Aga Khan University, Faculty of Arts and Science (East Africa) 2The Earth Institute at Columbia University, New York
Water for Food Global Conference May 5-8, 2013
Lincoln, Nebraska, USA
Why Regime Shifts in Agro-ecosystems?
Regime Shift: Large and lasting changes in structure/function
Emphasis on sustainable food production systems and recognition of the scarcity of vital resources such as water, soil and biodiversity.
Understanding the functioning of agro-ecosystems and how their health and performance can be measured and monitored over time and managed.
30 m
30 m
Control-Impact pair design
Random Cluster Research Design
Stratification Forest, Recent Conversation, Historical Conversion
30m by 30m plots (900m2);
Land use: land use history, land use/land cover, time since conversion, tenure
Soil properties: topsoil and subsoil; standard soil chemical, physical assessments, stable carbon isotopes
Soil hydraulic properties : infiltration; water retention
Field Sampling
Out of 544 samples 94% were correctly classified.
Wilks’ Lambda used to test the null hypothesis that class means are identicalValue = 0.015, F= 12.63, p <0.0001
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0 0.5 1 1.5 2 2.5 3
Wavelength (μm)
Rel
ativ
e re
flect
ance
Recently Converted Forest Historically Converted
Spectral Regimes
Soil chemical properties and particle size distribution measured in Chronosequence age classes
Soil chemical properties and particle size distribution Regimes
Exploratory graphical assessment of the dynamics of total SOC, C3- and C4-derived carbon with time since conversion of forest soils to cropland. Zero (0) on the X-axis denotes forest.
A model of decay patterns of total SOC, C3-derived SOC and accretion C4-derived SOC.
Awiti et al., 2008- Agric Ecosys Env
SOC Regimes
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0 50 100 150
Time(min)
Infil
tratio
n (cm
/min
)
Forest RC HC
S
A
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1 10 100 1000 10000 100000
Suction pressure (pa)
Moi
stur
e co
nten
t(vV-
1)
Forest RC HC
Inflection points
Infiltration and Water retention Regimes
-0.1200
-0.0800
-0.0400
0.0000
0.0400
0.0800
RC HC Forest
ln(R
oot:S
hoot
)
Primary productivity
Regimes
1968 1973 1978 1983 19880
10000
20000
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50000
60000
70000
80000
Tilapine
Haplochromine
R.argentea
L.nilotica
Year
Cat
ch (
ton
s)
Terrestrial and Aquatic Regime Shifts
Integrating trees and woody perennials with agricultural crops, pastures and/or livestock on the same land management unit to maintain structure and function
An approach to building Agro-ecosystem Resilience
Maize grain yield (t ha-1) from 2-year coppicing mixed fallow species treatments at Msekera, Eastern Zambia (Adapted from Mafongoya et al., 2006)
Increase of 1 ton of soil carbon pool in degraded cropland soils increases maize yield by 10 -20 kg ha-1 .Carbon sequestration can potentially offset fossil fuel emissions by 0.4 to 1.2 gigatons of carbon per year (Lal, 2004)
SOC increase in tropical soils following IF with different tree species in the sub-humid tropics (Adapted from Albrecht & Kandji, 2003)
Rapidly growing plantations
Planted Fallows
Plantation with shade crop
AF with cover crops
No till with residuemulch
Traditional cropping
Improved land use mgt
Conversion of TFE to cropland
Rel
ativ
e S
OC
Po
ol
His
tori
c lo
ss o
f S
OC
eq
ual
s si
nk
po
ten
tial
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SOC pool under natural forest
0 20 40Time (yrs)
Dynamics of soil organic carbon in TFEs. The rate of increase in the SOC pool depends on the restorative land use (from Lal, 2005)
Carbon Storage in Agroforestry systems (from Albrecht & Kandji, 2003)
Diagnostic Indicators of Soil Condition (DISC) – characteristic soil spectral profiles relative to benchmark sites biomass
allocation patterns
– hydraulic properties-water retention curves could revolutionize how we evaluate and communicate soil quality to policy makers, farmers and extension workers
Strategic library of spectral baselines at watershed scale and/or AEZ for development of Benchmark Similarity Index (BSI).– Starting conditions and pathways and extent of degradation
Establish optimal or allowable ranges for soil health and site index for crop performance– essential ingredients for monitoring and Anticipatory Management of soil
quality or timely intervention.
Advancing Agro-ecosystem Resilience