Review and analysis of strengths and weaknesses of agro-ecosystem models for simulating C and N fluxes

被引：166

作者：

Brilli, Lorenzo ^{[1
,15
]}

Bechini, Luca ^{[2
]}

Bindi, Marco ^{[1
]}

Carozzi, Marco ^{[3
]}

Cavalli, Daniele

Conant, Richard ^{[2
,4
]}

Dorich, Cristopher D. ^{[4
]}

Doro, Luca ^{[5
,16
]}

Ehrhardt, Fiona ^{[6
]}

Farina, Roberta ^{[7
]}

Ferrise, Roberto ^{[1
]}

Fitton, Nuala ^{[8
]}

Francaviglia, Rosa ^{[7
]}

Grace, Peter ^{[9
]}

Iocola, Ileana ^{[5
]}

Klumpp, Katja ^{[14
]}

Leonard, Joel ^{[10
]}

Martin, Raphael ^{[14
]}

Massad, Raia Silvia ^{[3
]}

Recous, Sylvie ^{[11
]}

Seddaiu, Giovanna ^{[5
]}

Sharp, Joanna ^{[12
]}

Smith, Pete ^{[7
]}

Smith, Ward N. ^{[13
]}

Soussana, Jean-Francois ^{[6
]}

Bellocchi, Gianni ^{[14
]}

机构：

[1] Univ Florence, Dept Agri Food Prod & Environm Sci, I-50144 Florence, Italy

[2] Univ Milan, Dept Agr & Environm Sci, Milan, Italy

[3] INRA, AgroParisTech, UMR EcoSys 1402, F-78850 Thiverval Grignon, France

[4] Colorado State Univ, NREI, Ft Collins, CO 80523 USA

[5] Univ Sassari, Dept Agr Sci, Desertificat Res Ctr, I-07100 Sassari, Italy

[6] INRA, F-63039 Paris, France

[7] Res Ctr Soil Plant Syst, CREA RPS, Via Navicella 2-4, I-00184 Rome, Italy

[8] Univ Aberdeen, Inst Biol & Environm Sci, St Machar Dr, Aberdeen AB24 3UU, Scotland

[9] Queensland Univ Technol, Brisbane, Qld, Australia

[10] INRA, UR AgroImpact 1158, Site Laon, F-02000 Barenton Bugny, France

[11] INRA, FARE Lab, F-51100 Reims, France

[12] New Zealand Inst Plant & Food Res, Lincoln 7608, New Zealand

[13] Agr & Agri Food Canada, Ottawa, ON K1A 0C6, Canada

[14] INRA, UREP, F-63039 Clermont Ferrand, France

[15] CNR, IBIMET, Via Caproni 8, Florence, Italy

[16] Blackland Res & Extens Ctr, Texas A&M AgriLife Res, Temple, TX USA

来源：

SCIENCE OF THE TOTAL ENVIRONMENT | 2017年 / 598卷

基金：

英国生物技术与生命科学研究理事会;

关键词：

Biogeochemical models; C cycle; N cycle; Management Pedo-climate; SOIL ORGANIC-MATTER; NITROUS-OXIDE EMISSIONS; LONG-TERM EXPERIMENTS; GREENHOUSE-GAS EMISSIONS; CARBON-USE EFFICIENCY; N2O EMISSIONS; DNDC MODEL; ROTHC-MODEL; AGRICULTURAL MANAGEMENT; MICROBIAL BIOMASS;

D O I：

10.1016/j.scitotenv.2017.03.208

中图分类号：

X [环境科学、安全科学];

学科分类号：

08 ; 0830 ;

摘要：

Biogeochemical simulation models are important tools for describing and quantifying the contribution of agricultural systems to C sequestration and GHG source/sink status. The abundance of simulation tools developed over recent decades, however, creates a difficulty because predictions from different models show large variability. Discrepancies between the conclusions of different modelling studies are often ascribed to differences in the physical and biogeochemical processes incorporated in equations of C and N cycles and their interactions. Here we review the literature to determine the state-of-the-art in modelling agricultural (crop and grassland) systems. In order to carry out this study, we selected the range of biogeochemical models used by the CN-MIP consortium of FACCE-JPI (http://www.faccejpi.com): APSIM, CERES-EGC, DayCent, DNDC, DSSAT, EPIC, PaSim, RothC and STICS. In our analysis, these models were assessed for the quality and comprehensiveness of underlying processes related to pedo-climatic conditions and management practices, but also with respect to time and space of application, and for their accuracy in multiple contexts. Overall, it emerged that there is a possible impact of ill-defined pedo-climatic conditions in the unsatisfactory performance of the models (46.2%), followed by limitations in the algorithms simulating the effects of management practices (33.1%). The multiplicity of scales in both time and space is a fundamental feature, which explains the remaining weaknesses (i.e. 20.7%). Innovative aspects have been identified for future development of C and N models. They include the explicit representation of soil microbial biomass to drive soil organic matter turnover, the effect of N shortage on SOM decomposition, the improvements related to the production and consumption of gases and an adequate simulations of gas transport in soil. On these bases, the assessment of trends and gaps in the modelling approaches currently employed to represent biogeochemical cycles in crop and grassland systems appears an essential step for future research. (C) 2017 Elsevier B.V. All rights reserved.

引用

页码：445 / 470

页数：26

共 234 条

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