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HAL Id: hal-02793815

https://hal.inrae.fr/hal-02793815

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Sustainability issues related to forest soils

Grégory van der Heijden, Arnaud Legout, Karna Hansson, Jean-Paul Laclau, Laurent Augusto, Michel Vennetier, Antoine Versini, Jacques Ranger

To cite this version:

Grégory van der Heijden, Arnaud Legout, Karna Hansson, Jean-Paul Laclau, Laurent Augusto, et al.. Sustainability issues related to forest soils: Forest soil fertility: definition and management. Sustainable Intensification of Planted Forests: How far can we go?, Jun 2016, Biarritz, France. pp.33 slides. �hal-02793815�

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Sustainability issues related to forest soils

Forest soil fertility: definition and management

Gregory VAN DER HEIJDEN 1, Arnaud LEGOUT1, Karna HANSSON1, Jean Paul

LACLAU2, Laurent AUGUSTO3, Michel VENNETIER4, Antoine VERSINI5,

Jacques RANGER1

1. INRA Nancy, Unité Biogéochimie des écosystèmes forestiers, 54280 Champenoux

2. CIRAD, UMR Eco&Sols, Ecologie Fonctionnelle & Biogéochimie des Sols & Agro-écosystèmes, F34060 Montpellier 3. INRA Bordeaux, UMR Transfert sol-plante et Cycle des Eléments Minéraux, F33883 Villenave d’Ornon

4. IRSTEA Aix en Provence, Unité Ecosystèmes méditerranéens et risques, F13182 Aix en Provence Cedex 5 5. CIRAD, UR Recyclage et risque, F97743 Saint-Denis

International Scientific Seminar Sustainable Intensification of planted

forests: How Far can we go?

Monday June 13th 2016

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Layout

1. Definitions of Soil Fertility - towards a new concept

 Why do forest soils differ from agricultural soils

 Conventionnal approaches to soil fertility and their limits  The importance of nutrient fluxes

2. Impact of different silvicultural practices on forest soil fertility

 Effects of tree species change

 Effects of soil compaction from forest mechanization

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Forest soil characteristics

 Forest soils are very different from agricultural soils:  Acid soils, nutrient poor to very poor

 Higher carbon content  Waterlogged soils

 Higher stone content

 No or little fertilization/compensation

 Production cycles are much longer in Forest ecosystems

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Soil fertility definitions…

 Fertility = Capacity of a soil to produce (Barbier, 1955) – Capacity of the soil

to supply necessary resources for plant growth

 In forest ecosystems, fertility has been

characterized by dominante tree height at a given age

Forest soil fertility classes (from Bonneau, 1995)

 Forest soil fertility = reservoir of nutrients

availiable to plants

 Concepts derived from agronomy concepts Diagnosis Nutrient level

(kg/ha) Diagnosis Nutrient level (kg/ha) Diagnosis Nutrient level (kg/ha) K Very insufficient reserves. High risk of deficiency on the short-term 335 Insufficient reserves. High risk of deficiency on the mid-term 465 Optimal reserves compared to requirements 745 Ca 445 645 1785 Mg 120 180 300 P 180 260 480 w

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Physical fertility Chemical fertility Biological fertility

Soil fertility

How to define soil fertility for forest ecosystems ?

« The chemical fertility is only a component of global soil fertility which also depend on the soil water retention capacity, soil texture and structure, its properties enabling root prospection, presence and abundance of macro and microfauna, fungi » (Bonneau, 1995)

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Which fertility indicator to choose?

 Inversion of the gradient according to the indicator

EBC = Pool of exchangeable base cations (Ca+Mg+K+Na)

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Biogeochemical cycling

Sol Humus Leaching Biomass exportation Litterfall Weathering Uptake Foliar leaching Anthropogenic inputs (liming, fertilization) Minéralization Nitrification

+

Internal cycling Input-output fluxes Légende : Atmospheric inputs

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Aboveground biomass Humus Soil exchangeable pools (0-70cm)

Importance of the biological cycle

Breuil Chenue site Elevation: 650 m

Climate: continental

Species: Beech, 35 yr-old Soil: Alocrisol on granite

van der Heijden et al., 2013

33 kg.ha-1 61 kg.ha-1

25 kg.ha-1 148 kg.ha-1

12 kg.ha-1 55 kg.ha-1

2 kg.ha-1.yr-1 11 kg.ha-1.yr-1

Ca

Mg

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Short-term soil chemical fertility Long-term soil chemical fertility

 Soil reservoir of directly available nutrients  Nutrient fluxes originating from internal

sources : litterfall and decomposition, foliar

leaching, plant internal cycling

 Soil characteristics enabling the retention

of nutrients (cationic exchange capacity,

exchange site reactivity, soil particle surface exposure).

 Soil capacity to sustain or even restaure short-term soil chemical fertility (buffer capacity) in a given environmental and management context

 Nutrient fluxes originating from the weathering of nutrient bearing minerals, when existant, and

atmospheric inputs.

The potential or capacity to produce should be considered conjointly with:

The hydrological constraints (water table, dry season, water excess, deficit…), Nutrient requirements of tree species (fonction of autecology, growth rates)

Nutrient uptake strategies (soil water type, soil depth…) root prospection according to soil physical constraints (compaction, hypoxia, hydromorphic soils…)

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Impact of different silvicultural

practices on forest soil fertility

 Tree species change

 Increased biomass exportation

 Forest mechanization and soil compaction  Forest liming

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Tree species effects on soil fertility

Douglas

fir Silver fir

European Beech Laricio pine Douglas fir Oak Norway Spruce Norway spruce Laricio pine Silver fir Norway spruce Silver fir Laricio pine Norway spruce Douglas fir Native forest (coppice with standards) N a tiv e fo res t (c o p p ic e w it h st a n d a rd s) Native forest (coppice with standards) Silver fir Laricio pine European Beech Douglas fir 50 m Forest road Bloc 1 Bloc 2 Weather station Legend:

Common garden experiment (Burgundy, France) 6 species planted in 1976 – monospecific stands

 C mean residence time in humus layer

 Net Uptake fluxes

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Tree species effects on soil fertility

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Effects of increased biomass exportation

 Distribution of biomass and nutrients in aboveground biomass

+ 21% biomass + 83% N

+ 28% biomass + 87% N

 Impact on soil nutrient pools

1 2 3

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Effects of increased biomass exportation

 Example of a litter manipulation experiment in Eucalyptus plantations in

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Effects of increased biomass exportation

 Example of a litter manipulation experiment in Eucalyptus plantations in

Republic of the Congo

 Consequences on biomass productivity of plantations

Essai CIFOR, Deleporte et al., 2008

0 10 20 30 40 50 40 120 160 200 Amount of litter (t ha-1) V o lu me at t h e en d o f th e ro ta tion (m 3) y = 1,7x + 85,5 R2 = 0,98 0 80

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Soil compaction from forest mechanization

Causes for soil compaction

Forest mechanization inescapable to optimize forest operations:

 80% of coniferous stands

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Soil compaction from forest mechanization

Better to go over a path 100 times than once over a 100 paths!

Consequences of soil compaction

 Increased bulk density and resistance to root penetration

 Loss of macroporosity and soil structure

Soil compaction and number of skidding cycles

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Soil compaction from forest mechanization

After clear-cut:

 Soil compaction plots  Control plots

 Compaction +

restauration (e.g. liming) Plots planted with oak

Effect on tree growth

Years after soil compaction

M ea n t ree he ig ht ( m ) in pl an ted pl ots

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Compensating for the export of nutrients and restoration of degraded soils

 Forest liming with a carbonate rock

Soil solution pH Dep th Stream concentrations Limed Control

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Compensating for the export of nutrients and restoration of degraded soils

 Long-term improvement of forest nutrition

 Long-term improvement of forest growth

Humont state forest, Vosges Mountains

Potées state forest, Ardennes

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Thank you!

Increasing biomass exportations? Bio-energy

production…

Context of high N deposition and decreasing Ca, Mg, K

atmospheric inputs Silvicultural practices: production cycles, species

change, mechanization… In most low fertility forest

ecosystems, the natural resilience is weak

The restauration of the chemical fertility of the soil can be costly, best adapt silviculture

to site conditions Soil Humus Leaching Biomass exportation Atmospheric inputs Weathering Anthropogenic inputs (liming, fertilization) Physical fertility Chemical fertility Biological fertility Soil fertility

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Relation entre la fertilité chimique et le poids des

composantes BIO/GEO dans les cycles

Cycle biochimique Translocations internes Cycle géochimique Altération, drainage Cycle biologique Litières, récrétion, minéralisation, prélèvement, exportation Type I – sol pauvre

chimiquement:

cycle

BIO

géochimique

Type II – sols riches chimiquement :

cycle bio

GEO

chimique

+ -

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pF 4,2

Eau gravitaire Eau + ou - liée

Eau utilisable par les plantes Temps de résidence Vitesse d’écoulement Prélèvement 0,2 2 10 30 50 80 Ø pores (µm) Phase organique Phase minérale 13

Les différents types d’eau du sol

Richesse chimique

?

La biodisponibilité est à géométrie variable

? ?

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Sites d’études utilisés

http://www.gip-ecofor.org/f-ore-t/ Sites Alt. (m) Pluvio. annuelle (mm) Temp. annuelle (C°)

Roche mère Type de sol (WRB)

Abreschviller, Vosges 400 1250 8,5° Vosgian sandstone Dystric cambisol

Monthermé, Ardennes 390 1100 8° Blue-grey phyllites Dystric cambisol

Aubure 1, Vosges 1080 1400 8,5° Brézouard granite Dystric cambisol

Aubure 2, Vosges 1080 1400 8,5° Brézouard granite Podzolic cambisol

Bonhomme, Vosges 1100 1544 5° Valtin leucocrate granite Podzolic cambisol

Breuil, Morvan 650 1280 9° Vire type granite Dystric cambisol

Fougères, Bretagne 175 868 12,9° Vire type granite Dystric cambisol

Gemaingoutte, Vosges 650 1120 8,5° Varied lithology gneiss Dystric cambisol

Vauxrenard, Beaujolais 770 1000 7° Vosges Volcanic tuf Dystric cambisol

Itatinga, São Paulo, Brazil 850 1370 19,2° Detritic sands Ferralsol

Kondi, Pointe-Noire, Congo 100 1200 25° Continental sands Ferralic Arenosols

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0 500 1000 1500 2000 2500 3000 3500

Abreschviller Ardennes Aubure 1 Aubure 2 Bonhomme Breuil Fougères Gemaingoutte Itatinga Kondi Vauxrenard

E B C (K g h a -1) EBC 0-70 EBC 0- Root95% 0 50 100 150 200 250 300 350 400 450 R o o tin g d e p th (c m ) 95% rooting depth 70 cm depth

Taille du réservoir à considérer pour évaluer la

fertilité chimique

 Pools de cations échangeables (kg.ha-1) : Ca+Mg+K+Na

 réservoir : de 0 à 70 cm et de 0 à 95% de l’enracinement maximum

(racines fines <2mm)

La présence de racines n’implique pas forcément un prélèvement effectif de nutriments…. Sol ‘bulk’ vs ‘sol rhizosphérique’….

5

Il est difficile de définir la taille du ‘réservoir’ de nutriment à disposition….

Pr of ondeur d’ enr aci neme n t (c m) Pools de ca ti ons éc ha ng eabl es ( kg. ha -1 )

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3 3.5 4 4.5 5 5.5 6 6.5 0.5 0.6 0.7 0.8 0.9 1 pH H0:Hmax pH LFH 0-10 10-30 30-70 70-100 0 5 10 15 20 25 30 35 40 45 50 0.5 0.6 0.7 0.8 0.9 1 C :N H0:Hmax C:N 0 10000 20000 30000 40000 50000 60000 70000 80000 0.5 0.6 0.7 0.8 0.9 1 C (k g ha -1) H0:Hmax C 0 1000 2000 3000 4000 5000 6000 7000 8000 9000 10000 0.5 0.6 0.7 0.8 0.9 1 N (k g ha -1) H0:Hmax N 1 10 100 1000 10000 0.5 0.6 0.7 0.8 0.9 1 Exc ha ng e abl e C a (k g ha -1) H0:Hmax Exchangeable Ca 1 10 100 1000 0.5 0.6 0.7 0.8 0.9 1 Exc h M g (k g ha -1) H0:Hmax Exhchangeable Mg 1 10 100 1000 10000 0.5 0.6 0.7 0.8 0.9 1 A va ila b le P2 O5 (k g h a -1) H0:Hmax Available P2O5 1 10 100 1000 0.5 0.6 0.7 0.8 0.9 1 Exc ha ng e abl e K ( kg ha -1) H0:Hmax Exchangeable K

Relation between soil fertility indicators & forest growth (H0:Hmax)

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Lucash MS et al. (2012) Soil Sci. Soc. Am. J. 76(2): 674-683

Effet de l’indicateur choisi sur le gradient de

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Cours de Henry à l’Ecole Nationale des Eaux et Forêts, 1894

Le maintien de la fertilité en forêt n’est pas une

préoccupation récente…..

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Example of the importance of

soil depth

 Different exchangeable Ca pools in the soil profile

 Similar Ca foliar concentrations:

 AZ – 1743 ± 484 µg.g-1

 CA – 2089 ± 312 µg.g-1

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Effects of increased biomass exportation

 Example of a litter manipulation experiment in Eucalyptus plantations in

Republic of the Congo No litter Double litter

Forest floor 15 cm 50 cm 100 cm 200 cm 400 cm Rainfall 62% 190% 21% 24% 120% 79% 0 Mg2+ (g m -2 an-1) 2 1 3 4 Ca2+ (g m-2 an-1) 2 0 1 3 4 K+ (g m-2 an-1) 8 12 4

 Nutrient fluxes (year 1)

% litter mineralmass

% of superficial soil (0-50 cm) exchangeable pools

Double litter

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Soil compaction from forest mechanization

After clear-cut:

 Soil compaction plots  Control plots

 Compaction +

restauration (e.g. liming) Plots planted with oak

Control plot Trafficked plot

Effect on tree growth

Years after soil compaction

M ea n t ree he ig ht ( m ) in pl an ted pl ots

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