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Estimating Rangeland Production in Current and Future Conditions Using SSM-iCrop2 Model in Iran

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Abstract

The effect of climate change on rangelands production in Iran is an important issue. This study aimed at parameterization and evaluation of SSM-iCrop2 and predicting spring re-growth and production of rangelands in current and future (under RCP4.5 and RCP8.5 climate change scenarios in 2050) conditions in Iran. The dry matter production data of 46 sites and the initiation date for spring growth of 34 sites in five rangeland types (Sahara-Sindian, semi-desert, steppe, semi-steppe, and high-mountainous) and three rangeland conditions (good, fair and poor) were used for parameterization and evaluation of the model. The results demonstrated that the model performed well and could predict rangeland production with a coefficient of variation of 18% and a correlation coefficient of 0.96. Simulation runs showed that climate change will affect growth and production of rangelands. In a way that the current 10.86 million ton average rangeland production of the country was estimated 6.9 and 4.8 percent less in RCP4.5 and RCP8.5, respectively. Furthermore, the average spring re-growth decreased from 73 days after first of January in the current condition to 66 and 61 days after January in RCP4.5 and RCP8.5 scenarios, respectively. Growth and production were closely linked to temperature and precipitation changes. Also, the increase in CO2 concentration modulated the negative effects of climate change. Ultimately, it can be concluded that SSM-iCrop2 model has the ability to simulate large-scale rangeland production with a relatively simple approach.

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References

  1. Allen VG, Batello C, Berretta EJ, Hodgson J, Kothmann M, Li X, McIvor J, Milne J, Morris C, Peeters A, Sanderson M (2011) An international terminology for grazing lands and grazing animals. Grass Forage Sci 66:2–28

    Article  Google Scholar 

  2. Arzani H, Mirdavoodi H, Farahpour M et al (2005) Trends in vegetation change and production in Markazi Province during a 5-Year Period. IRDRQ 12:409–420

    Google Scholar 

  3. Askarizadeh D, Arzani H, Jaffari M, Bazrafshan J (2018) Surveying of the past, present and future of vegetation changes in the central Alborz ranges in relation to climate change. J GIS RS for Natur Res 3:1–18

    Google Scholar 

  4. Azimi M, Heshmati GA, Farahpour M et al (2013) Modeling the impact of rangeland management on forage production of sagebrush species in arid and semi-arid regions of Iran. Ecol Modell 250:1–14

    Article  Google Scholar 

  5. Backlund P, Janetos A, Schimel D (2008) The effects of climate change on agriculture, land resources, water resources, and biodiversity in the United States. Synthesis and Assessment Product 4.3. Washington, DC: US Environmental Protection Agency, Climate Change Science Program

  6. Badeck FW, Bondeau A, Bottcher K et al (2004) Responses of spring phenology to climate change. New Phytol 162:295–309

    Article  Google Scholar 

  7. Bork EW, Thomas T, McDougall B (2001) Herbage response to precipitation in central Alberta boreal grasslands. Rangel Ecol Manag 54:243–248

    Article  Google Scholar 

  8. Coppock DL, Fernández-Giménez M, Hiernaux P et al (2017) Rangeland systems in developing nations: conceptual advances and societal implications. Rangel Syst 2017:569–642

    Article  Google Scholar 

  9. Corson MS, Skinner RH, Rotz CA (2006) Modification of the SPUR rangeland model to simulate species composition and pasture productivity in humid temperate regions. Agric Syst 87:169–191

    Article  Google Scholar 

  10. CSIRO (2004) Report of natural resource models in the rangelands, A review undertaken for the national land and water resources audit. An Australian Government Initiative

  11. Daneshvar M, Ebrahimi M, Nejadsoleymani H (2019) An overview of climate change in Iran: facts and statistics. Environ Syst Res 8:1–10

    Google Scholar 

  12. de Dios MJ, Padilla FM, Pugnaire FI (2009) Response of a Mediterranean semiarid community to changing patterns of water supply. PPEES 11:255–266

    Google Scholar 

  13. Dile Y, Srinivasan R (2014) Evaluation of CFSR climate data for hydrologic prediction in data-scarce watersheds: an application in the Blue Nile River Basin. JAWRA 50(5):1226–1241

    Google Scholar 

  14. Dror D, Allen L (2011) The importance of milk and other animal-source foods for children in low-income countries. FNB 32:227–243

    Google Scholar 

  15. Ehleringer JR, Schwinning S, Gebauer R (1999) Water use in arid land ecosystems. J Plant Ecol 1999:347–365

    Google Scholar 

  16. Fakhimi E, Arzani H, Soltani M, Faramarzi G (2018) Investigating the efficiency of water balance model in estimating long-term rangeland production (Case study: steppe rangelands of Shir Kooh area of Yazd). Rangel J 12:519–531

    Google Scholar 

  17. Farokhi H, Mohtashamnia M, Abbasizade M (2020) Production is estimated using significant steppe rangelands of Yazd Case Study (Sadrabad pastures Nodoushan Yazd). Plant ecoph 12:86–94

    Google Scholar 

  18. Foy JK, Teague R, Hanson JD (1999) Evaluation of the upgraded SPUR model (SPUR2.4). Ecol Modell 118:149–165

    Article  Google Scholar 

  19. FRWMOI (2020) http://www.frw.ir/02/En/default.aspx Accessed 8 Jul 2020.

  20. Fuka DR, MacAllister CA, Degaetano AT, Easton ZM (2013) Using the climate forecast system reanalysis dataset to improve weather input data for watershed models. Hydrol 5623:5613–5623

    Google Scholar 

  21. Godde C, Boone RB, Ash AJ et al (2020) Global rangeland production systems and livelihoods at threat under climate change and variability. Environ Res Lett 15:044021

    Article  Google Scholar 

  22. Godde C, Dizyee K, Ash A et al (2019) Climate change and variability impacts on grazing herds: insights from a system dynamics approach for semi-arid Australian rangelands. Glob Chang Biol 25:3091–3109

    Article  PubMed  PubMed Central  Google Scholar 

  23. Headey D, Hirvonen K, Hoddinott J (2018) Animal sourced foods and child stunting. J Agric Econ 100:1302–1319

    Article  Google Scholar 

  24. Hoogenboom G, Jones JW, Wilkens PW et al (2004) Decision support system for agrotechnology transfer version 4.0. University of Hawaii, Honolulu, HI (CD-ROM)

  25. Hounet Y, Brisebarre AM, Guinand S (2016) The cultural heritage of pastoralism—local knowledge, state identity and the global perspective: the example of local breeds in Morocco. Rev sci tech 35:357–370

    PubMed  Google Scholar 

  26. Howden SM, Crimp SJ, Stokes CJ (2008) Climate change and its effect on Australian livestock systems. Aust J Exp Agric 48:780–788

    Article  Google Scholar 

  27. IPCC (2007) Climate change 2007: the physical science basis. Agenda 6:333

    Google Scholar 

  28. Jaberalansar Z, Tarkesh M, Bassiri M, Pourmanafi S (2017) Modelling the impact of climate change on rangeland forage production using a generalized regression neural network: a case study in Isfahan Province, Central Iran. J Arid Land 9:489–503

    Article  Google Scholar 

  29. Jones MO, Robinson NP, Naugle DE (2021) Annual and 16-day rangeland production estimates for the western United States. Rangel Ecol Manag 77:112–117

    Article  Google Scholar 

  30. Koo J, Dimes J (2013) HC27 generic soil profile database. Harvard Dataverse Ver. 4. International Food Policy Research Institute: Washington, DC, USA

  31. Laflen JM, Elliot WJ, Simanton JR et al (1991) WEPP: Soil erodibility experiments for rangeland and cropland soils. JSWC 46:39–44

    Google Scholar 

  32. Liu J, Wiberg D, Zehnder AJB, Yang H (2007) Modeling the role of irrigation in winter wheat yield, crop water productivity and production in china. Irrig Sci 26:21–33

    Article  Google Scholar 

  33. Marshall NA (2015) Adaptive capacity on the northern Australian rangelands. Rangel J 37:617–622

    Article  Google Scholar 

  34. Ministry Of Agriculture Jahad (2017) https://www.maj.ir/index.aspx?tempname=NewEnMain&lang=2&sub=0 Accessed 10 Jul 2020

  35. Mo X, Liu S, Lin Z et al (2005) Predicting of crop yield, water consumption and water use efficiency with a SVAT-crop growth model using remotely sensed data on the North China Plain. Ecol Modell 183:301–322

    Article  Google Scholar 

  36. Mohtar R, Buckmaster DR, Fales SL (1997) A grazing simulation model: GRASIM, a model development. Trans ASAE 40:1483–1493

    Article  Google Scholar 

  37. Mohtar R, Zhai T, Chen X (2000) A world wide web-based grazing simulation model (GRASIM). Comput Electron Agric 29:243–250

    Article  Google Scholar 

  38. Moqimi J (2019) Introducing and criticizing the collection of books related to the national plan for determining harvestable forage from rangelands in Iran. INJ 4:115–120

    Google Scholar 

  39. Morgan JA, Pataki DE, Körner C et al (2004) Water relations in grassland and desert ecosystems exposed to elevated atmospheric CO2. Oecologia 140:11–25

    Article  CAS  PubMed  Google Scholar 

  40. Munkhtsetseg E, Kimura R, Wang J, Shinoda M (2007) Pasture yield response to precipitation and high temperature in Mongolia. J Arid Environ 70:94–110

    Article  Google Scholar 

  41. Nehbandani A, Soltani A, Taghdisi Naghab R et al (2020) Assessing HC27 soil database for modeling plant production. IJPP 14:679–687

    Google Scholar 

  42. Noy-Meir I (1973) Desert ecosystems: environment and producers. Annu Rev Ecol Evol Syst 4:25–51

    Article  Google Scholar 

  43. Parsch LD, Loewer OJ (1995) GRAZE Beef-Forage Simulation Model: User Guide Leditors. University of Arkansas

  44. Polley HW, Bailey DW, Nowak RS, Stafford-Smith M (2017) Ecological consequences of climate change on rangelands. Rangel Syst 2017:229–260

    Article  Google Scholar 

  45. Riahi K, Rao S, Krey V et al (2011) RCP 8.5—A scenario of comparatively high greenhouse gas emissions. Clim Change 109:33–43

    Article  CAS  Google Scholar 

  46. Rotz CA, Corson MS, Chianese DS et al (2012) The integrated farm system model reference manual, Version 3.6. USDA-Agricultural Research Service

  47. Ruane AC, Winter JM, McDermid SP, Hudson NI (2015) AgMIP climate data and scenarios for integrated assessment. Handbook of Climate Change and Agroecosystems: The Agricultural Model Intercomparison and Improvement Project 45–78

  48. Sayre NF, McAllister RR, Bestelmeyer BT, Moritz M, Turner MD (2013) Earth Stewardship of rangelands: coping with ecological, economic, and political marginality. Front Ecol Environ 11:348–354

    Article  Google Scholar 

  49. Sharifi J, Akbarzadeh M (2013) Investigation of vegetation changes under precipitation in semi-steppic rangelands of Ardebil province (Case study: Arshagh Rangeland Research Site). J Watershed Manag Res 65:507–516

    Google Scholar 

  50. Shaw MR, Pendleton L, Cameron DR et al (2011) The impact of climate change on California’s ecosystem services. Clim Change 109:465–484

    Article  Google Scholar 

  51. Soltani A, Alimagham SM, Nehbandani A et al (2020) Future food self-sufficiency in Iran: a model-based analysis. Glob Food Sec 24:100351

    Article  Google Scholar 

  52. Soltani A, Sinclair TR (2012) Modeling physiology of crop development, growth and yield. CABi

  53. Soltani A, Alimagham SM, Nehbandani A et al (2020) SSM-iCrop2: A simple model for diverse crop species over large areas. Agric Syst 182:102855

    Article  Google Scholar 

  54. Souri M, Bayat M, Arzani H, Khodagholi M (2020) Estimation of long-term forage production of steppe rangelands of Fars province based on climatic factors parameters. J Watershed Manag Res 72:995–1009

    Google Scholar 

  55. Thomson AM, Calvin KV, Smith SJ et al (2011) RCP4. 5: a pathway for stabilization of radiative forcing by 2100. Clim Change 109:77–94

    Article  CAS  Google Scholar 

  56. Torell LA, McDaniel KC, Koren V (2011) Estimating grass yield on blue grama range from seasonal rainfall and soil moisture measurements. Rangel Ecol Manag 64:56–66

    Article  Google Scholar 

  57. Van Wart J, van Bussel LGJ, Wolf J et al (2013) Use of agro-climatic zones to upscale simulated crop yield potential. Field Crops Res 143:44–55

    Article  Google Scholar 

  58. Wei Y, Ruiqing G, Xuebiao P, Buju L (2008) The effect of climate change on livestock carrying capacity of Inner Mongolia. Multifunctional Grasslands in a Changing World

  59. Williams JR (1995) The EPIC model. computer models of watershed hydrology. Water Resourc Publ Highl Ranch 25:909–1000

    Google Scholar 

  60. Yahdjian L, Sala OE (2008) Climate change impacts on South American rangelands. Rangelands 30:34–39

    Article  Google Scholar 

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Authors and Affiliations

  1. Department of Agronomy, Gorgan University of Agricultural Sciences and Natural Resources, Gorgan, 49138-15739, Iran

    Alireza Nehbandani, Afshin Soltani & Benjamin Torabi

  2. Department of Rangeland Sciences, Gorgan University of Agricultural Sciences and Natural Resources, Gorgan, 49138-15739, Iran

    Hossein Barani & Abolfazl Sharifian Bahraman

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  1. Alireza Nehbandani
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Correspondence to Alireza Nehbandani.

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Nehbandani, A., Barani, H., Soltani, A. et al. Estimating Rangeland Production in Current and Future Conditions Using SSM-iCrop2 Model in Iran. Agric Res 12, 346–355 (2023). https://doi.org/10.1007/s40003-023-00652-z

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