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Evaluation of mitigation effect from climate-change adapted forests

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(1)Evaluation of mitigation effect from climate-change adapted forests Denis Loustau, Simon Martel, Delphine Deshors-Picart, Christophe Moisy, Virginie Jacquet, David Achat. To cite this version: Denis Loustau, Simon Martel, Delphine Deshors-Picart, Christophe Moisy, Virginie Jacquet, et al.. Evaluation of mitigation effect from climate-change adapted forests. International Workshop of Task 38 IAEA, 2017, Angers, France. pp.22. �hal-02789344�. HAL Id: hal-02789344 https://hal.inrae.fr/hal-02789344 Submitted on 5 Jun 2020. HAL is a multi-disciplinary open access archive for the deposit and dissemination of scientific research documents, whether they are published or not. The documents may come from teaching and research institutions in France or abroad, or from public or private research centers.. L’archive ouverte pluridisciplinaire HAL, est destinée au dépôt et à la diffusion de documents scientifiques de niveau recherche, publiés ou non, émanant des établissements d’enseignement et de recherche français ou étrangers, des laboratoires publics ou privés..

(2) Evaluation of mitigation effect from climate-change adapted forests Loustau D. Martel S., Picart D., Achat D., Moisy C., Moreaux V.. [email protected]. Task 38 – Workshop , 7 Nov. 2017, Angers, France.

(3) Adapted to … what ? Data: CDIAC/GCP/IPCC/Fuss et al 2014. Références. The future of the forests environment (atmosphere, soil, hydrology) is not determined Forest management may rely upon: - (i) versatility: optimal combination of forest alternatives - (ii) diversity : species and provenances mixture ,… - (iii) resilience : plasticity, Task 38 – Workshop , 7 Nov. 2017, Angers, France.

(4) Criteria for biogeochemical and climatic sustainability  Negative or neutral radiative forcing Radiative balance Convective heat fluxes Greenhouse effect. « biophysical forcing » « biophysical forcing » « biogeochemical forcing ».  Negative ( C ) or neutral (N, P etc.) mass balance Carbon Water Nutrients.  Of the whole forest – wood products chain. Task 38 – Workshop , 7 Nov. 2017, Angers, France.

(5) Concerting management alternatives (projects: FOREVER, MACCAC, Evafora, Forêts-21). Management alternatives. 1. Managers, stakeholders. 3. Users. Climate scenarios. Other data (soil, inventories). Calcul. Simulations 8x8 km 2000-2100. Web Server. 2. Web services and model chain GO+ Biljou CAT GALES FWI. Task 38 – Workshop , 7 Nov. 2017, Angers, France.

(6) Forest management alternatives for biomass production Species selection. • Coniferous: Pinus p. , Pseudotsuga m., Pinus s. Pinus n. • Broadleaved : Fagus, Quercus,. Soil and stand management: • • • •. Soil preparation Stand regeneration Thinning regime Rotation duration. Species and age mixtures (Agroforestry). Task 38 – Workshop , 7 Nov. 2017, Angers, France.

(7) Predictive tool: process model of Forest WP chain Go+CAT Forcings SW. LW. H2O. Management: soil, vegetation, trees. CO2. Foliage Branches. Radiative & energy balances Plant water (ψ leaf). Photosynthesis. NPP Allocation. Soil water. Deep runoff. Harvest Mortality. Stem. Respiration Phenology Growth Senescence. Tap root. Soil C input. Coarse roots Small roots. DPM, RPM. Fine roots. BIO HUM. Groundwater. Mineralisation Task 38 – Workshop , 7 Nov. 2017, Angers, France.

(8) Go+ model in short Vegetation • Hourly time step / ha spatial unit, • 2 layers : Sun–Shade / Farquhar’ – Jarvis’ – Hydraulics – • Phenology, Allocation, Growth, Mortality. Soil • Roth-C, • 3 Soil layers, • Bucket model + Groundwater. Management • Soil preparation, • Vegetation management, • Tree stand management Task 38 – Workshop , 7 Nov. 2017, Angers, France.

(9) Management alternatives – 1. European Beech Standards. Intensive (« Biomass and Energy »). Standard (« Timber »). Self Thinning (« theoretical reference »). Target D = 60 cm Revolution = 10 y Competition Index = 0.35. D = 80 cm R = 15 y C = 0.35. Age = 150y R =3y C = 1.0. Historical climate. Task 38 – Workshop , 7 Nov. 2017, Angers, France.

(10) Management Alternatives – 2. Coniferous Standards. Douglas Fir. Pinus pinaster Intensive (« Biomass and Energy »). ha-1 t C ×500 400. BIOMASS. 59.7 tC.ha-1. 300 200. Standard (« Timber »). 100 0. 100. 200. 300. 400. SOIL. 1980. 86.2 tC.ha-1. 2000. 2020. 2040. 2060. 2080. 2100. (Historical climate) Task 38 – Workshop , 7 Nov. 2017, Angers, France.

(11) 2000-2100 radiative forcing of management alternatives at regional level Results 1.. • Aquitaine French Region (1Mha) • Impacts : • •. Albedo (8x8 km) (SW ↓ RCP,s α predicted by GO+, monthly τatm from NASA) Biogenic carbon sequestration. •. Fossil carbon. in situ: soil, tree and vegetation biomass C stored in 8 wood products categories. Forest operations. Products transformations. •. (GO+ model) (CAT model). (Gonzalez Garcia et al. 2014). (CAT model). Fossil carbon substitution f from 0.5 (energy) to 3.0 (timber). (Sathre et O’Connor, 2010). •. Attenuation of atmospheric variations by Earth model (Forster et al. 2007). •. Radiative forcing of CO2= f (concentration en CO2). (Boucher et al. 2007). Task 38 – Workshop , 7 Nov. 2017, Angers, France.

(12) 1. Carbon stocks in situ and in wood products 8.E+07. RCP 2.6. Aquitaine Pine C stocks (tC). Soil -Standard Soil - intensive Biomass - Standard Biomass - Intensive. 4.E+07. Harvested products Standard Harvested products Intensive. 0.E+00. 2000. 2020. 2040. 2060. 2080. 2100.  Soil and biomass stocks depleted in intensive aternatives. Task 38 – Workshop , 7 Nov. 2017, Angers, France.

(13) 2. Radiative forcing is negative only if substitution is accounted for.. (W.m-2). Standard. Intensive. RCP 2.6. 1.E-03. 0.E+00. -1.E-03. Wood products & Forest. Substitution. Albedo. NEE. Total. Task 38 – Workshop , 7 Nov. 2017, Angers, France.

(14) 3. The overall radiative forcing of standard management is cooler in colder scenarios 2.E-04. 0.E+00. RCP 2.6 -2.E-04. RCP 8.5. Difference in Radiative Forcing, Intensive - Standard (W.m-2). 2.E-04. 0.E+00. -2.E-04. 2000. 2050 Harvested Products. NEE. 2100 Albédo. Substitution. Total. Task 38 – Workshop , 7 Nov. 2017, Angers, France.

(15) 50. 10. 40. 20. 30. 30. 20. 40. 10. 50. 0. 60. B 60. 300. 50. 250. 40. 200. 30. 150. 20. 100. 10. 50. 0. N outputs (g m-2). 0. N stocks in trees (g m-2). 60. Soil organic N (g m-2). • Experiments at stand scale • Pinus, Fagus, Pseudotsuga • 4 to 8 management schemes tested. Pp-I2 / RCP2.6 / initial age class = 1 yr. A. Understorey N stocks (g m-2). 4. Dynamics of nutrients stocks in soil and biomass for different management alternatives predicted by Go+ (V. 26.51).. 0. Task 38 – Workshop , 7 Nov. 2017, Angers, France.

(16) 5. Biomass harvested and nutrients export over a 95 year period:. RCP 8.5 RCP 2.6. Intensification has a cost !. Task 38 – Workshop , 7 Nov. 2017, Angers, France.

(17) Few lessons from recent and ongoing R&D projects with ANR, ADEME, CNRS • The best management scheme is the one that can be implemented by managers • Intensification has environmental costs (climate, water, nutrients) • Climate-management interaction is substantial. Thank you for attention Task 38 – Workshop , 7 Nov. 2017, Angers, France.

(18) Acknowledgements Recent projects having supported the Go+ model development: - ORACLE (French ANR, N. De Noblet, CNRS, coord.) - MACCAC (French ANR, O. Roupsard, CIRAD, coord.) - Forever (CNRS, A. Dufour, coord.) - Evafora (Ademe, O. Picard coord.) - PROFOUND Cost action (COST, C. Reyer coord.). Task 38 – Workshop , 7 Nov. 2017, Angers, France.

(19) Evaluation (1/4). Fluxes and stocks of energy, COLLELONGO SITE. C and water.. LE BRAY SITE. Rn, λE. NEE. Basal area LAI. Soil water Task 38 – Workshop , 7 Nov. 2017, Angers, France.

(20) Evaluation (2/4) Daily fluxes at FLUXNET Sites. Statistics : • R², RMSE. • Systematic & Unsystematic errors. Task 38 – Workshop , 7 Nov. 2017, Angers, France.

(21) Evaluation (3/4) Growth, production and soil groundwater trajectories. 1. Coniferous. Task 38 – Workshop , 7 Nov. 2017, Angers, France.

(22) Evaluation (4/4) Growth and production trajectories. 2. Broadleaved. Task 38 – Workshop , 7 Nov. 2017, Angers, France.

(23) Acknowledgements Recent projects having supported the Go+ model development: - ORACLE (French ANR, N. De Noblet, CNRS, coord.) - MACCAC (French ANR, O. Roupsard, CIRAD, coord.) - Forever (CNRS, A. Dufour, coord.) - Evafora (Ademe, O. Picard coord.) - PROFOUND Cost action (COST, C. Reyer coord.) Data used for calibration or evaluation : - European carbon data cluster (L3 and L4 data from FR-Hes, FR-LBr, IT-Col, DK-Sor) - Fluxnet (Vancouver Douglas fir chronosequence, A.T. Black) - ISIMIP database (Solling, Collelongo, Soroe, Le Bray sites) - GIS Coop de données (Pompogne site, D. Merzeau) - INRA long-term forest inventory data (Vielle site, C. Meredieu et al.) - Forest Soil database (V. Badeau, INRA Nancy) - Historical series of meteorological data (Météo-France). Task 38 – Workshop , 7 Nov. 2017, Angers, France.

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