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The effect of afforestation on water infiltration in the tropics, as ...

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Infiltrati<strong>on</strong> change after <str<strong>on</strong>g>afforestati<strong>on</strong></str<strong>on</strong>g><br />

<strong>in</strong> <strong>the</strong> <strong>tropics</strong><br />

Part <str<strong>on</strong>g>of</str<strong>on</strong>g> larger systematic review<br />

and meta analysis <strong>on</strong> forest<br />

land use changes <strong>in</strong> <strong>the</strong> <strong>tropics</strong><br />

and its <str<strong>on</strong>g>effect</str<strong>on</strong>g> <strong>on</strong> <strong>in</strong>filtrati<strong>on</strong><br />

Ulrik Ilstedt 1& 2 , Anders Malmer 2 , Elke Verbeeten 1 and Daniel Murdiyarso 1<br />

• Deforestati<strong>on</strong><br />

• Reforestati<strong>on</strong><br />

• Afforestati<strong>on</strong><br />

• (Selective)<br />

Logg<strong>in</strong>g<br />

1 Center for Internati<strong>on</strong>al Forestry Research (CIFOR)<br />

2 Department <str<strong>on</strong>g>of</str<strong>on</strong>g> Forest Ecology, Swedish University <str<strong>on</strong>g>of</str<strong>on</strong>g><br />

Agricultural Sciences (SLU)<br />

Swedish University <str<strong>on</strong>g>of</str<strong>on</strong>g> Agricultural Sciences<br />

Why <strong>the</strong> <strong>tropics</strong>?<br />

Why Infiltrati<strong>on</strong>?<br />

Important for:<br />

• Erosi<strong>on</strong> & <strong>water</strong><br />

quality<br />

• Ground<strong>water</strong><br />

recharge<br />

• Dry se<strong>as</strong><strong>on</strong> flow<br />

• Slow/quick flow<br />

Key variable for understand<strong>in</strong>g & modell<strong>in</strong>g green<br />

& blue <strong>water</strong> under climate and land use change<br />

Types <str<strong>on</strong>g>of</str<strong>on</strong>g> <strong>in</strong>filtrati<strong>on</strong> methods<br />

• Steady state/saturated c<strong>on</strong>diti<strong>on</strong><br />

• Field me<strong>as</strong>urements or undisturbed<br />

samples<br />

• Top soil (0-10cm)<br />

Systematic review is<br />

Protocol for:<br />

• Datab<strong>as</strong>es, search syntax and time<br />

• Criteria for selecti<strong>on</strong><br />

E<strong>as</strong>y to repeat by o<strong>the</strong>rs and <strong>in</strong> later<br />

follow up<br />

Less bi<strong>as</strong> than ‘narrative reviews’<br />

1


Afforestati<strong>on</strong> <strong>in</strong> a broad sense<br />

Literature Search<br />

Low tree density<br />

• Permanent agriculture<br />

• Agr<str<strong>on</strong>g>of</str<strong>on</strong>g>orestry<br />

• Short fallow shift<strong>in</strong>g<br />

cultivati<strong>on</strong><br />

• Gr<strong>as</strong>slands<br />

• Savann<strong>as</strong><br />

• P<strong>as</strong>tures<br />

Higher tree density<br />

• Agr<str<strong>on</strong>g>of</str<strong>on</strong>g>orestry<br />

• Plantati<strong>on</strong> forests<br />

• Successi<strong>on</strong> to ”climax”<br />

forests<br />

Datab<strong>as</strong>es used (30-11-2005):<br />

• Web <str<strong>on</strong>g>of</str<strong>on</strong>g> Science (1986-2005)<br />

• BIOSIS Previews (1989-2005)<br />

• CAB Abstracts (1973-2005)<br />

Search syntax:<br />

• Land uses from <strong>the</strong> objectives<br />

• Syn<strong>on</strong>yms <str<strong>on</strong>g>of</str<strong>on</strong>g> <strong>in</strong>filtrati<strong>on</strong><br />

Selecti<strong>on</strong> criteria<br />

Total search hits (3001 references)<br />

-Outside <strong>tropics</strong><br />

Title<br />

-Not a comparis<strong>on</strong> between any <str<strong>on</strong>g>of</str<strong>on</strong>g> <strong>the</strong><br />

specified land uses<br />

References<br />

from experts Abstract<br />

-Not a field experiment/treatment<br />

-Articles not available<br />

Articles from library<br />

-Not <strong>in</strong> English or French<br />

-Flawed designs/methods<br />

References lists<br />

-Means, N and SD not possible to estimate<br />

Meta Analysis (20 references <strong>in</strong>cl. 64 comparis<strong>on</strong>s/experiments)<br />

Meta analysis is<br />

Us<strong>in</strong>g data from several studies to have a<br />

higher number <str<strong>on</strong>g>of</str<strong>on</strong>g> observati<strong>on</strong>s to get a<br />

more secure mean with higher c<strong>on</strong>fidence.<br />

(resp<strong>on</strong>se means, number <str<strong>on</strong>g>of</str<strong>on</strong>g> observati<strong>on</strong>s and variance needed)<br />

Meta analysis is used for<br />

A global mean treatment <str<strong>on</strong>g>effect</str<strong>on</strong>g> for a larger<br />

set <str<strong>on</strong>g>of</str<strong>on</strong>g> criteria or a mean for a more<br />

specific treatment.<br />

More sound than ”study wote c<strong>on</strong>t<strong>in</strong>g” <strong>in</strong><br />

narrative reviews<br />

Resp<strong>on</strong>se ratio and 95% c<strong>on</strong>fidence <strong>in</strong>terval for <strong>in</strong>dividual<br />

experiments and <strong>the</strong> grand mean (LnR = Ln(After/Before)<br />

Grand mean<br />

Agr<str<strong>on</strong>g>of</str<strong>on</strong>g>orestry<br />

Resp<strong>on</strong>se ratios and 95% c<strong>on</strong>fidence<br />

<strong>in</strong>tervals for meta analysis<br />

(times <strong>in</strong>cre<strong>as</strong>e <strong>in</strong> <strong>in</strong>filtrati<strong>on</strong> by <str<strong>on</strong>g>afforestati<strong>on</strong></str<strong>on</strong>g> and agfr<str<strong>on</strong>g>of</str<strong>on</strong>g>orestry)<br />

Afforestati<strong>on</strong><br />

Studies<br />

Exp.<br />

mean<br />

Resp<strong>on</strong>se Ratio<br />

(after/before)<br />

lower CI upper CI<br />

Afforestati<strong>on</strong> 2 8 3.8 2.7 5.5<br />

Agr<str<strong>on</strong>g>of</str<strong>on</strong>g>orest 2 6 1.9 1.7 2.8<br />

Subtotal 4 14 3.2 2.4 4.7<br />

2


Range <str<strong>on</strong>g>of</str<strong>on</strong>g> studies - <str<strong>on</strong>g>afforestati<strong>on</strong></str<strong>on</strong>g><br />

Rejected studies<br />

• Two c<strong>on</strong>t<strong>in</strong>ents (Africa and<br />

Asia)<br />

• Ra<strong>in</strong>fall: 850-2500 mm<br />

• Alfisols and Ultisols<br />

• 8 different tree species<br />

• 1 – 12 yrs after plant<strong>in</strong>g<br />

-Too few studies to analyze<br />

<strong>the</strong> <strong>in</strong>fluence <str<strong>on</strong>g>of</str<strong>on</strong>g> species<br />

and sites<br />

• 12 <strong>in</strong> total<br />

• 7 design<br />

• 2 methodology<br />

• 3 statistics<br />

Mostly <strong>in</strong> peer review<br />

journals…<br />

But str<strong>on</strong>g pro<str<strong>on</strong>g>of</str<strong>on</strong>g> <str<strong>on</strong>g>of</str<strong>on</strong>g> soil improvement and <strong>in</strong>filtrati<strong>on</strong><br />

<strong>in</strong>cre<strong>as</strong>e 2 – 5 times from 3-47 mm/h shows relevance<br />

C<strong>on</strong>clusi<strong>on</strong>s<br />

• Meta-analysis promis<strong>in</strong>g tool<br />

• Afforestati<strong>on</strong> 2 to 5-fold<br />

<strong>in</strong>cre<strong>as</strong>e<br />

• No s<strong>in</strong>gle study <strong>on</strong> rubber, oil<br />

palm, etc.<br />

• Too few studies for:<br />

-Some important land uses<br />

-Analyz<strong>in</strong>g factors (climate,<br />

species, methods etc.)<br />

Wish list…<br />

• More b<strong>as</strong>ic soil physical data<br />

• Grey literature?<br />

• More languages (cooperati<strong>on</strong> needed)<br />

• Multivariate analysis: soil type, texture, ra<strong>in</strong>fall, methods<br />

etc.<br />

• Ple<strong>as</strong>e make randomized designs & report statistics<br />

Thank you!<br />

Let´s widen our horiz<strong>on</strong>s<br />

Table 1. Descripti<strong>on</strong> <str<strong>on</strong>g>of</str<strong>on</strong>g> <strong>the</strong> data and experiments used for a meta-analysis <str<strong>on</strong>g>of</str<strong>on</strong>g> <strong>the</strong> <str<strong>on</strong>g>effect</str<strong>on</strong>g> <strong>on</strong> <strong>in</strong>filtrati<strong>on</strong> from <str<strong>on</strong>g>afforestati<strong>on</strong></str<strong>on</strong>g> and<br />

agr<str<strong>on</strong>g>of</str<strong>on</strong>g>orestry <strong>on</strong> former deforested land. <str<strong>on</strong>g>The</str<strong>on</strong>g> mean <strong>in</strong>filtrati<strong>on</strong>, standard deviati<strong>on</strong>, and number <str<strong>on</strong>g>of</str<strong>on</strong>g> replicates (N) before and<br />

after treatment is reported, <strong>as</strong> well <strong>as</strong> <strong>the</strong> country <str<strong>on</strong>g>of</str<strong>on</strong>g> <strong>the</strong> study, <strong>the</strong> mean annual ra<strong>in</strong>fall, texture, soil type and vegetati<strong>on</strong><br />

before and after treatment.<br />

Infiltrati<strong>on</strong> Standard<br />

Source<br />

(mm/h)<br />

dev. N Country Latitude Ra<strong>in</strong>fall Texture Soil Vegetati<strong>on</strong><br />

before after before (mm) after<br />

before after after before<br />

Tect<strong>on</strong>ia grandis (12yrs)<br />

26 57 12 12 15 15 2500 Gr<strong>as</strong>s<br />

1. Mapa (1995) Sri Lanka 7 N Clay Ultisol<br />

Tect<strong>on</strong>ia grandis (12yrs)<br />

2. Mapa (1995) 29 57 12 12 15 15 Sri Lanka 7 N 2500 Clay Ultisol Crops<br />

C<strong>as</strong>sia Spectabilis +<br />

3. Hulugalle and Ndi (1993) 3 5.5 1.0 1.0 3 3 Camero<strong>on</strong> 3 N 1522 Clay Ultisol Crops<br />

crops (1yr)<br />

C<strong>as</strong>sia Spectabilis +<br />

4. Hullugale and Ndi (1993) 3.3 5.5 1.0 1.0 3 3 Camero<strong>on</strong> 3 N 1522 Clay Ultisol Crops<br />

crops (1yr)<br />

Sesbania sesban (3yrs)<br />

5. Chirwa et al. (2003) 13 95 6.8 6.8 3 3 Zambia 14 S 850 Clay Alfisol Crops<br />

6. Chirwa et al. (2003) 13 44 6.8 6.8 3 3 Zambia 15 S 850 Clay Alfisol Crops Gliricidia sepium (3yrs)<br />

7. Chirwa et al. (2003) 13 37 6.8 6.8 3 3 Zambia 16 S 850 Clay<br />

Leucaena leucocephala<br />

Alfisol Crops<br />

(3yrs)<br />

8. Chirwa et al. (2003) 13 55 6.8 6.8 3 3 Zambia 17 S 850 Clay<br />

Acacia angustissima<br />

Alfisol Crops<br />

(3yrs)<br />

9. Chirwa et al. (2003) 13 71 6.8 6.8 3 3 Zambia 18 S 850 Clay<br />

Acacia + Sesbania<br />

Alfisol Crops<br />

(3yrs)<br />

10. Chirwa et al. (2003) 13 119 6.8 6.8 3 3 Zambia 19 S 850 Clay<br />

Gliricidia + Sesbania<br />

Alfisol Crops<br />

(3yrs)<br />

11. Hulugalle and Kang<br />

Gliricidia sepium + crops<br />

47 152 127 127 3 3 Nigeria 7 N 1250 loamy Alfisol Crops<br />

(1990)<br />

(8yrs)<br />

12. Hulugalle and Kang<br />

Alchornea cordifolia +<br />

47 118 127 127 3 3 Nigeria 8 N 1250 loamy Alfisol Crops<br />

(1990)<br />

crops (8yrs)<br />

13. Hulugalle and Kang<br />

Leucaena leucocephala<br />

47 95 127 127 3 3 Nigeria 9 N 1250 loamy Alfisol Crops<br />

(1990)<br />

+ crops (8yrs)<br />

14. Hulugalle and Kang<br />

Acioa barterii + crops<br />

47 172 127 127 3 3 Nigeria 10 N 1250 loamy Alfisol Crops<br />

(1990)<br />

(8yrs)<br />

3


Cl<strong>as</strong>sificati<strong>on</strong> <str<strong>on</strong>g>of</str<strong>on</strong>g> designs<br />

1) True time series<br />

2) Randomized treatments (blocked,<br />

factorial etc.)<br />

3) False time series with good<br />

randomizati<strong>on</strong><br />

4) Flawed designs, e.g. no replicati<strong>on</strong><br />

(excluded)<br />

Literature Search<br />

Datab<strong>as</strong>es used (30-11-2005):<br />

• Web <str<strong>on</strong>g>of</str<strong>on</strong>g> Science (1986-2005)<br />

• BIOSIS Previews (1989-2005)<br />

• CAB Abstracts (1973-2005)<br />

Search syntax:<br />

• topic=((hydraulic c<strong>on</strong>ductivit* or Infiltra* or<br />

permeabilit*) and soil* and <strong>water</strong> and (forest* or<br />

afforest* or reforest* or deforest* or agro$forest* or<br />

oil palm* or palm oil* or rubber* or tree* or<br />

shift<strong>in</strong>g$cultivat* or sl<strong>as</strong>h$burn or shift<strong>in</strong>g$cultivat*<br />

or sl<strong>as</strong>h* or logg<strong>in</strong>g* or clear$fell<strong>in</strong>g or clear<strong>in</strong>g* or<br />

skid* or burn* or haul<strong>in</strong>g* or woodland* or savan*))<br />

Resp<strong>on</strong>se ratios and 95% C<strong>on</strong>fidence Intervals<br />

Afforestati<strong>on</strong><br />

C<strong>on</strong>fidence Intervals for Resp<strong>on</strong>se Ratio<br />

(after/before)<br />

0.00 1.00 2.00 3.00 4.00 5.00 6.00<br />

Stud/Exp.<br />

Reforestati<strong>on</strong><br />

Selective<br />

Logg<strong>in</strong>g<br />

Tracks<br />

Between tracks<br />

Subtotal<br />

5 11<br />

3 7<br />

6 18<br />

Deforestati<strong>on</strong><br />

Selective logg<strong>in</strong>g<br />

Reforestati<strong>on</strong><br />

Deforestati<strong>on</strong><br />

Tracks<br />

Between tracks<br />

Subtotal<br />

Permanent cropps<br />

Shift<strong>in</strong>g cultivati<strong>on</strong><br />

Savanah<br />

Subtotal<br />

1 3<br />

2 3<br />

3 6<br />

5 10<br />

4 11<br />

1 2<br />

8 23<br />

Afforerstati<strong>on</strong><br />

Plantati<strong>on</strong><br />

Agr<str<strong>on</strong>g>of</str<strong>on</strong>g>orest<br />

Subtotal<br />

2 8<br />

3 6<br />

4 14<br />

higher after<br />

Steps <str<strong>on</strong>g>of</str<strong>on</strong>g> a meta-analysis<br />

Treatments<br />

Effect sizes<br />

Comb<strong>in</strong>ed<br />

<str<strong>on</strong>g>effect</str<strong>on</strong>g> size<br />

Systematic review<br />

Study 1<br />

Study 2<br />

Study 3<br />

etc ...<br />

-means<br />

-variances<br />

-number <str<strong>on</strong>g>of</str<strong>on</strong>g> samples<br />

-<str<strong>on</strong>g>effect</str<strong>on</strong>g> sizes<br />

-c<strong>on</strong>fidence <strong>in</strong>tervals<br />

4

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