TRADE-OFFS IN THE DESIGN OF SUSTAINABLE CROPPING SYSTEMS AT A REGIONAL LEVEL: A CASE STUDY ON THE NORTH CHINA PLAIN
Jeroen C. J. GROOT, Xiaolin YANG
TRADE-OFFS IN THE DESIGN OF SUSTAINABLE CROPPING SYSTEMS AT A REGIONAL LEVEL: A CASE STUDY ON THE NORTH CHINA PLAIN
● Impacts of 30 cropping systems practiced on the North China Plain were evaluated.
● Trade-offs were assessed among productive, economic and environmental indicators.
● An evolutionary algorithm was used for multi-objective optimization.
● Conflict exists between productivity and profitability versus lower ground water decline.
● Six strategies were identified to jointly mitigate the trade-offs between objectives.
Since the Green Revolution cropping systems have been progressively homogenized and intensified with increasing rates of inputs such as fertilizers, pesticides and water. This has resulted in higher crop productivity but also a high environmental burden due to increased pollution and water depletion. To identify opportunities for increasing the productivity and reducing the environmental impact of cropping systems, it is crucial to assess the associated trade-offs. The paper presents a model-based analysis of how 30 different crop rotations practiced in the North China Plain could be combined at the regional level to overcome trade-offs between indicators of economic, food security, and environmental performance. The model uses evolutionary multi-objective optimization to maximize revenues, livestock products, dietary and vitamin C yield, and to minimize the decline of the groundwater table. The modeling revealed substantial trade-offs between objectives of maximizing productivity and profitability versus minimizing ground water decline, and between production of livestock products and vitamin C yield. Six strategies each defining a specific combination of cropping systems and contributing to different extents to the various objectives were identified. Implementation of these six strategies could be used to find opportunities to mitigate the trade-offs between objectives. It was concluded that a holistic analysis of the potential of a diversity cropping systems at a regional level is needed to find integrative solutions for challenges due to conflicting objectives for food production, economic viability and environmental protection.
crop rotation / food security / multi-objective optimization / water use
[1] |
Khoury C K, Bjorkman A D, Dempewolf H, Ramirez-Villegas J, Guarino L, Jarvis A, Rieseberg L H, Struik P C. Increasing homogeneity in global food supplies and the implications for food security. Proceedings of the National Academy of Sciences of the United States of America, 2014, 111( 11): 4001–4006
CrossRef
Google scholar
|
[2] |
DeFries R, Fanzo J, Remans R, Palm C, Wood S, Anderman T L. Global nutrition. Metrics for land-scarce agriculture. Science, 2015, 349( 6245): 238–240
CrossRef
Google scholar
|
[3] |
Tilman D. Global environmental impacts of agricultural expansion: the need for sustainable and efficient practices. Proceedings of the National Academy of Sciences of the United States of America, 1999, 96( 11): 5995–6000
CrossRef
Google scholar
|
[4] |
Bhattacharyya P, Sinhababu D P, Roy K S, Dash P K, Sahu P K, Dandapat R, Neogi S, Mohanty S. Effect of fish species on methane and nitrous oxide emission in relation to soil C, N pools and enzymatic activities in rainfed shallow lowland rice-fish farming system. Agriculture, Ecosystems & Environment, 2013, 176 : 53–62
CrossRef
Google scholar
|
[5] |
Yu C, Huang X, Chen H, Godfray H C J, Wright J S, Hall J W, Gong P, Ni S, Qiao S, Huang G, Xiao Y, Zhang J, Feng Z, Ju X, Ciais P, Stenseth N C, Hessen D O, Sun Z, Yu L, Cai W, Fu H, Huang X, Zhang C, Liu H, Taylor J. Managing nitrogen to restore water quality in China. Nature, 2019, 567( 7749): 516–520
CrossRef
Google scholar
|
[6] |
Bhatt R, Kukal S S, Busari M A, Arora S, Yadav M. Sustainability issues on rice–wheat cropping system. International Soil and Water Conservation Research, 2016, 4( 1): 64–74
CrossRef
Google scholar
|
[7] |
Liu Z, Chen Z, Ma P, Meng Y, Zhou J. Effects of tillage, mulching and N management on yield, water productivity, N uptake and residual soil nitrate in a long-term wheat-summer maize cropping system. Field Crops Research, 2017, 213 : 154–164
CrossRef
Google scholar
|
[8] |
Lal R. Sustainable intensification of China’s agroecosystems by conservation agriculture. International Soil and Water Conservation Research, 2018, 6( 1): 1–12
CrossRef
Google scholar
|
[9] |
Jat R A, Jinger D, Kumar K, Singh R, Jat S L, Dinesh D, Kumar A, Sharma N K. Scaling-Up of Conservation Agriculture for Climate Change Resilient Agriculture in South Asia. In: Wani S P, Raju K V, Bhattacharyya T, eds. Scaling-up Solutions for Farmers. Cham: Springer, 2021, 351–380
|
[10] |
Zhai Y, Shen X, Quan T, Ma X, Zhang R, Ji C, Zhang T, Hong J. Impact-oriented water footprint assessment of wheat production in China. Science of the Total Environment, 2019, 689 : 90–98
CrossRef
Google scholar
|
[11] |
Wang W, Zhuo L, Li M, Liu Y, Wu P. The effect of development in water-saving irrigation techniques on spatial-temporal variations in crop water footprint and benchmarking. Journal of Hydrology, 2019, 577 : 123916
CrossRef
Google scholar
|
[12] |
Xiao G, Zhao Z, Liang L, Meng F, Wu W, Guo Y. Improving nitrogen and water use efficiency in a wheat-maize rotation system in the North China Plain using optimized farming practices. Agricultural Water Management, 2019, 212 : 172–180
CrossRef
Google scholar
|
[13] |
National Bureau of Statistics of China. China Statistical Yearbook 2018. Beijing: China Statistics Press, 2019 (in Chinese)
|
[14] |
Wang S, Hu Y, Yuan R, Feng W, Pan Y, Yang Y. Ensuring water security, food security, and clean water in the North China Plain—conflicting strategies. Current Opinion in Environmental Sustainability, 2019, 40 : 63–71
CrossRef
Google scholar
|
[15] |
Ministry of Water Resources of the People’s Republic of China. China Water Resources Bulletin 1975–2018. Beijing: Ministry of Water Resources of the People’s Republic of China (in Chinese)
|
[16] |
Gong H, Pan Y, Zheng L, Li X, Zhu L, Zhang C, Huang Z, Li Z, Wang H, Zhou C. Long-term groundwater storage changes and land subsidence development in the North China Plain (1971–2015). Hydrogeology Journal, 2018, 26( 5): 1417–1427
CrossRef
Google scholar
|
[17] |
Xu Z, Chen X, Wu S R, Gong M, Du Y, Wang J, Li Y, Liu J. Spatial-temporal assessment of water footprint, water scarcity and crop water productivity in a major crop production region. Journal of Cleaner Production, 2019, 224 : 375–383
CrossRef
Google scholar
|
[18] |
Sun C, Chen L, Zhai L, Liu H, Zhou H, Wang Q, Wang K, Shen Z. National-scale evaluation of phosphorus emissions and the related water-quality risk hotspots accompanied by increased agricultural production. Agriculture, Ecosystems & Environment, 2018, 267 : 33–41
CrossRef
Google scholar
|
[19] |
Xu R, Zhao H, Liu G, Li Y, Li S, Zhang Y, Liu N, Ma L. Alfalfa and silage maize intercropping provides comparable productivity and profitability with lower environmental impacts than wheat–maize system in the North China plain. Agricultural Systems, 2022, 195 : 103305
CrossRef
Google scholar
|
[20] |
Yang X L, Chen Y Q, Steenhuis T S, Pacenka S, Gao W S, Ma L, Zhang M, Sui P. Mitigating Groundwater Depletion in North China Plain with Cropping System that Alternate Deep and Shallow Rooted Crops. Frontiers in Plant Science, 2017, 8 : 980
CrossRef
Google scholar
|
[21] |
Yang X, Steenhuis T S, Davis K F, van der Werf W, Ritsema C J, Pacenka S, Zhang F, Siddique K H M, Du T. Diversified crop rotations enhance groundwater and economic sustainability of food production. Food and Energy Security, 2021, 10( 4): e311
CrossRef
Google scholar
|
[22] |
Liu X, Guo P, Li F, Zheng W. Optimization of planning structure in irrigated district considering water footprint under uncertainty. Journal of Cleaner Production, 2019, 210 : 1270–1280
CrossRef
Google scholar
|
[23] |
Ren D, Yang Y, Hu Y, Yang Y. Evaluating the potentials of cropping adjustment for groundwater conservation and food production in the piedmont region of the North China Plain. Stochastic Environmental Research and Risk Assessment, 2021, 35( 1): 117–128
CrossRef
Google scholar
|
[24] |
Groot J C J, Rossing W A H, Tichit M, Turpin N, Jellema A, Baudry J, Verburg P H, Doyen L, van de Ven G W J. On the contribution of modelling to multifunctional agriculture: learning from comparisons. Journal of Environmental Management, 2009, 90(Suppl 2): S147–S160
|
[25] |
Morrison-Saunders A, Pope J. Conceptualising and managing trade-offs in sustainability assessment. Environmental Impact Assessment Review, 2013, 38 : 54–63
CrossRef
Google scholar
|
[26] |
Gibson R B. Sustainability assessment: basic components of a practical approach. Impact Assessment and Project Appraisal, 2006, 24( 3): 170–182
CrossRef
Google scholar
|
[27] |
Groot J C J, Rossing W A H. Model-aided learning for adaptive management of natural resources: an evolutionary design perspective. Methods in Ecology and Evolution, 2011, 2( 6): 643–650
CrossRef
Google scholar
|
[28] |
Martinez-Hernandez E, Leach M, Yang A. Understanding water-energy-food and ecosystem interactions using the nexus simulation tool NexSym. Applied Energy, 2017, 206 : 1009–1021
CrossRef
Google scholar
|
[29] |
Longo M, Dal Ferro N, Lazzaro B, Morari F. Trade-offs among ecosystem services advance the case for improved spatial targeting of agri-environmental measures. Journal of Environmental Management, 2021, 285 : 112131
CrossRef
Google scholar
|
[30] |
Doliente S S, Samsatli S. Integrated production of food, energy, fuels and chemicals from rice crops: multi-objective optimisation for efficient and sustainable value chains. Journal of Cleaner Production, 2021, 285 : 124900
CrossRef
Google scholar
|
[31] |
Zhang X, Vesselinov V V. Integrated modeling approach for optimal management of water, energy and food security nexus. Advances in Water Resources, 2017, 101 : 1–10
CrossRef
Google scholar
|
[32] |
Timler C, Alvarez S, DeClerck F, Remans R, Raneri J, Estrada Carmona N, Mashingaidze N, Abe Chatterjee S, Chiang T W, Termote C, Yang R, Descheemaeker K, Brouwer I D, Kennedy G, Tittonell P A, Groot J C J. Exploring solution spaces for nutrition-sensitive agriculture in Kenya and Vietnam. Agricultural Systems, 2020, 180 : 102774
CrossRef
Google scholar
|
[33] |
Otten J J, Hellwig J P, Meyers L D. Dietary Reference Intakes: the Essential Guide to Nutrient Requirements. Washington, D.C.: The National Academies Press, 2006
|
[34] |
He Y, Yang X, Xia J, Zhao L, Yang Y. Consumption of meat and dairy products in China: a review. Proceedings of the Nutrition Society, 2016, 75( 3): 385–391
CrossRef
Google scholar
|
[35] |
Shepon A, Eshel G, Noor E, Milo R. Energy and protein feed-to-food conversion efficiencies in the US and potential food security gains from dietary changes. Environmental Research Letters, 2016, 11( 10): 105002
CrossRef
Google scholar
|
[36] |
Alexander P, Brown C, Arneth A, Finnigan J, Rounsevell M D A. Human appropriation of land for food: the role of diet. Global Environmental Change, 2016, 41 : 88–98
CrossRef
Google scholar
|
[37] |
Storn R, Price K. Differential evolution—a simple and efficient Heuristic for global optimization over continuous spaces. Journal of Global Optimization, 1997, 11( 4): 341–359
CrossRef
Google scholar
|
[38] |
Groot J C J, Jellema A, Rossing W A H. Designing a hedgerow network in a multifunctional agricultural landscape: balancing trade-offs among ecological quality, landscape character and implementation costs. European Journal of Agronomy, 2010, 32( 1): 112–119
CrossRef
Google scholar
|
[39] |
Groot J C J, Oomen G J M, Rossing W A H. Multi-objective optimization and design of farming systems. Agricultural Systems, 2012, 110 : 63–77
CrossRef
Google scholar
|
[40] |
Goldberg D E. Genetic algorithms in search, optimization and machine learning. 1st ed. Boston: Addison-Wesley Longman Publishing Co., Inc., 1989
|
[41] |
Deb K, Agrawal S, Pratap A, Meyarivan T. A fast elitist non-dominated sorting genetic algorithm for multi-objective optimization: NSGA-II. In: Schoenauer M, Deb K, Rudolph G, Yao X, Lutton E, Merelo J J, Schwefel H-P, eds. Parallel Problem Solving from Nature PPSN VI. Berlin, Heidelberg: Springer, 2000, 849–858
|
[42] |
Yu W, Yue Y, Wang F. The spatial-temporal coupling pattern of grain yield and fertilization in the North China plain. Agricultural Systems, 2022, 196 : 103330
CrossRef
Google scholar
|
[43] |
Almekinders C J M, Elings A. Collaboration of farmers and breeders: participatory crop improvement in perspective. Euphytica, 2001, 122( 3): 425–438
CrossRef
Google scholar
|
[44] |
Dwivedi S L, Lammerts van Bueren E T, Ceccarelli S, Grando S, Upadhyaya H D, Ortiz R. Diversifying food systems in the pursuit of sustainable food production and healthy diets. Trends in Plant Science, 2017, 22( 10): 842–856
CrossRef
Google scholar
|
[45] |
Xia L, Ti C, Li B, Xia Y, Yan X. Greenhouse gas emissions and reactive nitrogen releases during the life-cycles of staple food production in China and their mitigation potential. Science of the Total Environment, 2016, 556 : 116–125
CrossRef
Google scholar
|
[46] |
Brauns B, Jakobsen R, Song X, Bjerg P L. Pesticide use in the wheat-maize double cropping systems of the North China Plain: assessment, field study, and implications. Science of the Total Environment, 2018, 616-617 : 1307–1316
CrossRef
Google scholar
|
[47] |
Tilman D, Clark M. Global diets link environmental sustainability and human health. Nature, 2014, 515( 7528): 518–522
CrossRef
Google scholar
|
[48] |
Queenan K, Garnier J, Nielsen L R, Buttigieg S, De Meneghi D, Holmberg M, Zinsstag J, Rüegg S, Häsler B, Kock R. Roadmap to a one health agenda 2030. CAB Reviews: Perspectives in Agriculture, Veterinary Science, Nutrition and Natural Resources, 2017, 12 : 014
|
[49] |
Green A, Nemecek T, Chaudhary A, Mathys A. Assessing nutritional, health, and environmental sustainability dimensions of agri-food production. Global Food Security, 2020, 26 : 100406
CrossRef
Google scholar
|
[50] |
Estrada-Carmona N, Raneri J E, Alvarez S, Timler C, Chatterjee S A, Ditzler L, Kennedy G, Remans R, Brouwer I, den Berg K B, Talsma E F, Groot J C J. A model-based exploration of farm-household livelihood and nutrition indicators to guide nutrition-sensitive agriculture interventions. Food Security, 2020, 12( 1): 59–81
CrossRef
Google scholar
|
[51] |
Raven P H, Wagner D L. Agricultural intensification and climate change are rapidly decreasing insect biodiversity. Proceedings of the National Academy of Sciences of the United States of America, 2021, 118( 2): e2002548117
CrossRef
Google scholar
|
[52] |
Nie Y, Avraamidou S, Xiao X, Pistikopoulos E N, Li J, Zeng Y, Song F, Yu J, Zhu M. A Food-Energy-Water Nexus approach for land use optimization. Science of the Total Environment, 2019, 659 : 7–19
CrossRef
Google scholar
|
[53] |
Khoshnevisan B, Rafiee S, Pan J, Zhang Y, Liu H. A multi-criteria evolutionary-based algorithm as a regional scale decision support system to optimize nitrogen consumption rate; a case study in North China plain. Journal of Cleaner Production, 2020, 256 : 120213
CrossRef
Google scholar
|
[54] |
Uen T S, Chang F J, Zhou Y, Tsai W P. Exploring synergistic benefits of Water-Food-Energy Nexus through multi-objective reservoir optimization schemes. Science of the Total Environment, 2018, 633 : 341–351
CrossRef
Google scholar
|
[55] |
Ji L, Zheng Z, Wu T, Xie Y, Liu Z, Huang G, Niu D. Synergetic optimization management of crop-biomass coproduction with food-energy-water nexus under uncertainties. Journal of Cleaner Production, 2020, 258 : 120645
CrossRef
Google scholar
|
[56] |
Choi H J, Mcdowell D L, Allen J K, Mistree F. An inductive design exploration method for hierarchical systems design under uncertainty. Engineering Optimization, 2008, 40( 4): 287–307
CrossRef
Google scholar
|
[57] |
Crespo O, Bergez J E, Garcia F. Multiobjective optimization subject to uncertainty: Application to irrigation strategy management. Computers and Electronics in Agriculture, 2010, 74( 1): 145–154
CrossRef
Google scholar
|
[58] |
Kanter D R, Musumba M, Wood S L R, Palm C, Antle J, Balvanera P, Dale V H, Havlik P, Kline K L, Scholes R J, Thornton P, Tittonell P, Andelman S. Evaluating agricultural trade-offs in the age of sustainable development. Agricultural Systems, 2018, 163 : 73–88
CrossRef
Google scholar
|
[59] |
Ditzler L, Klerkx L, Chan-Dentoni J, Posthumus H, Krupnik T J, Ridaura S L, Andersson J A, Baudron F, Groot J C J. Affordances of agricultural systems analysis tools: a review and framework to enhance tool design and implementation. Agricultural Systems, 2018, 164 : 20–30
CrossRef
Google scholar
|
[60] |
Parra-López C, Groot J C J, Carmona-Torres C, Rossing W A H. An integrated approach for ex-ante evaluation of public policies for sustainable agriculture at landscape level. Land Use Policy, 2009, 26( 4): 1020–1030
CrossRef
Google scholar
|
[61] |
Adelhart Toorop R, Ceccarelli V, Bijarniya D, Jat M L, Jat R K, Lopez-Ridaura S, Groot J C J. Using a positive deviance approach to inform farming systems redesign: a case study from Bihar, India. Agricultural Systems, 2020, 185 : 102942
CrossRef
Google scholar
|
[62] |
Scheffer M, Brock W, Westley F. Socioeconomic mechanisms preventing optimum use of ecosystem services: an interdisciplinary theoretical analysis. Ecosystems, 2000, 3( 5): 451–471
CrossRef
Google scholar
|
[63] |
Li S, Lei Y, Zhang Y, Liu J, Shi X, Jia H, Wang C, Chen F, Chu Q. Rational trade-offs between yield increase and fertilizer inputs are essential for sustainable intensification: a case study in wheat-maize cropping systems in China. Science of the Total Environment, 2019, 679 : 328–336
CrossRef
Google scholar
|
[64] |
Wang C, Zang H, Liu J, Shi X, Li S, Chen F, Chu Q. Optimum nitrogen rate to maintain sustainable potato production and improve nitrogen use efficiency at a regional scale in China. A meta-analysis. Agronomy for Sustainable Development, 2020, 40( 5): 37
CrossRef
Google scholar
|
/
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