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Investigating net primary production in climate regions of Khuzestan Province, Iran using CASA model

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Abstract

This study aimed to investigate the vegetation production changes in Khuzestan province, Iran using MODIS data production, meteorological data, vegetation maps as well as topographic and field monitoring data in CASA model. The study area was divided into different climatic classes based on multivariate statistical method, so the vegetation of each climatic region was examined separately for changes in NPP values. Production changes due to degradation were calculated using the Miami model and subsequently, the rain use efficiency (RUE) and the light use efficiency (LUE) and correlation indices between the CASA model and ground data were determined. The results of this study (R2) showed that the accuracy of this model varies depending on the type of climatic regions (R2 = 0.80 to R2 = 0.15). In different climatic regions, the rate of NPP changes (very humid 68 gC/m2 to ultra-dry 15 gC/m2) varies in rangeland types. The highest rate of vegetation production is observed seasonally in May. Degradation conditions also reduced RUE and LUE. However, in hyper-arid regions, adaptations of plants in some different species (Hammada Spp.) increase their efficiency compared to other vegetation types. The results showed the importance of vegetation and climate classification in vegetation production studies.

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References

  • Bajgiran PR, Darvishsefat AA, Khalili A, Makhdoum MF (2008) Using AVHRR-based vegetation indices for drought monitoring in the Northwest of Iran. J Arid Environ 72(6):1086–1096

    Article  Google Scholar 

  • Bradford J, Hicke J, Lauenroth W (2005) The relative importance of light-use efficiency modifications from environmental conditions and cultivation for estimation of large-scale net primary productivity. Remote Sens Environ 96(2):246–255

    Article  Google Scholar 

  • Chen J, Liu J, Cihlar J, Goulden M (1999) Daily canopy photosynthesis model through temporal and spatial scaling for remote sensing applications. Ecol Model 124(2–3):99–119

    Article  CAS  Google Scholar 

  • Chen Z, Chen J, Xu G, Sha Z, Yin J, Li Z (2023) Estimation and Climate Impact Analysis of Terrestrial Vegetation Net Primary Productivity in China from 2001 to 2020. Land 12(6):1223

    Article  Google Scholar 

  • Costanza R (2012) Ecosystem health and ecological engineering. Ecol Eng 45:24–29

    Article  Google Scholar 

  • Cramer W, Bondeau A, Woodward FI, Prentice IC, Betts RA, Brovkin V, Cox PM, Fisher V, Foley JA, Friend AD (2001) Global response of terrestrial ecosystem structure and function to CO2 and climate change: results from six dynamic global vegetation models. Glob Change Biol 7(4):357–373

    Article  Google Scholar 

  • Darvish Sefat A, Zare A (1998) Assessment of Availability of satellite data for mapping of vegetation in arid and semi-arid regions. J Nat Resour Iran 50(20):47–52 (In Farsi)

    Google Scholar 

  • Dieguez H, Paruelo JM (2017) Disentangling the signal of climatic fluctuations from land use: changes in ecosystem functioning in South American protected areas (1982–2012). Remote Sens Ecol Conserv 3(4):177–189

    Article  Google Scholar 

  • Diouf A, Lambin E (2001) Monitoring land-cover changes in semi-arid regions: remote sensing data and field observations in the Ferlo, Senegal. J Arid Environ 48(2):129–148

    Article  Google Scholar 

  • Field CB, Randerson JT, Malmström CM (1995) Global net primary production: combining ecology and remote sensing. Remote Sens Environ 51(1):74–88

    Article  Google Scholar 

  • Fischer D, Chapman S, Classen AT, Gehring C, Grady K, Schweitzer J, Whitham T (2014) Plant genetic effects on soils under climate change. Plant Soil 379(1–2):1–19

    Article  CAS  Google Scholar 

  • Fu S, Zhou Y, Lei J, Zhou N (2023) Changes in the spatiotemporal of net primary productivity in the conventional lake chad basin between 2001 and 2020 based on CASA model. Atmosphere 14(2):232

    Article  Google Scholar 

  • Gao F, Hilker T, Zhu X, Anderson M, Masek J, Wang P, Yang Y (2015) Fusing Landsat and MODIS data for vegetation monitoring. IEEE Geosci Remote Sens Mag 3(3):47–60

    Article  Google Scholar 

  • Hadian F, Jafari R, Bashari H, Tartesh M, Clarke KD (2019) Estimation of spatial and temporal changes in net primary production based on Carnegie Ames Stanford Approach (CASA) model in semi-arid rangelands of Semirom County, Iran. J Arid Land 11(4):477–494

    Article  Google Scholar 

  • Han F, Yu C, Fu G (2023) Asymmetric warming among elevations may homogenize plant α-diversity and aboveground net primary production of alpine grasslands. Front Ecol Evol 11:1126651

    Article  Google Scholar 

  • Han F, Yu C, Fu G (2023) Non-growing/growing season non-uniform-warming increases precipitation use efficiency but reduces its temporal stability in an alpine meadow. Front Plant Sci 14:1090204

    Article  Google Scholar 

  • He Y, Piao S, Li X, Chen A, Qin D (2018) Global patterns of vegetation carbon use efficiency and their climate drivers deduced from MODIS satellite data and process-based models. Agric for Meteorol 256:150–158

    Article  Google Scholar 

  • He T, Dai Z, Li W, Zhou J, Zhang J, Li C, Dai T, Li W, Lu H, Ye Y, Xu L, Jiang Z (2023) Response of net primary productivity of vegetation to drought: A case study of Qinba Mountainous area, China (2001–2018). Ecol Ind 149:110148

    Article  Google Scholar 

  • Imhoff ML, Bounoua L, Ricketts T, Loucks C, Harriss R, Lawrence WT (2004) Global patterns in human consumption of net primary production. Nature 429(6994):870

    Article  CAS  Google Scholar 

  • Ke J, Zhou D, Hai C, Yu Y, Jun H, Li B (2022) Temporal and spatial variation of vegetation in net primary productivity of the Shendong coal mining area, Inner Mongolia Autonomous Region. Sustainability 14(17):10883

    Article  Google Scholar 

  • Khajeddin SJ (1995) A survey of the plant communities of the Jazmorian, Iran, using Landsat MSS data. University of Reading, Pages

    Google Scholar 

  • Liu S, Bliss N, Sundquist E, Huntington TG (2003) Modeling carbon dynamics in vegetation and soil under the impact of soil erosion and deposition. Glob Biogeochem Cycles 17(2):1–24

    Article  Google Scholar 

  • Peng J, Shen H, Wu W, Liu Y, Wang Y (2016) Net primary productivity (NPP) dynamics and associated urbanization driving forces in metropolitan areas: A case study in Beijing City, China. Landsc Ecol 31(5):1077–1092

    Article  Google Scholar 

  • Ruimy A, Saugier B, Dedieu G (1994) Methodology for the estimation of terrestrial net primary production from remotely sensed data. J Geophys Res Atmos 99(D3):5263–5283

    Article  Google Scholar 

  • Ruimy A, Kergoat L, Bondeau A, Intercomparison TPOTPNM (1999) Comparing global models of terrestrial net primary productivity (NPP): Analysis of differences in light absorption and light-use efficiency. Glob Change Biol 5(S1):56–64

    Article  Google Scholar 

  • United Nations Statistics Division (2020) Sustainable Development Goals (SDGs) Report. https://unstats.un.org/sdgs/report/2020/

  • Wang J, Li M, Fu G (2022) The change in environmental variables linked to climate change has a stronger effect on aboveground net primary productivity than does phenological change in alpine grasslands. Front Plant Sci 12:798633

    Article  Google Scholar 

  • Xiao F, Liu Q, Xu Y (2022) Estimation of terrestrial net primary productivity in the Yellow river basin of China using light use efficiency model. Sustainability 14:7399

    Article  CAS  Google Scholar 

  • Yaghmaei L, Soltani S, Jafari R (2020) Spatiotemporal Response of Rangeland NPP to Drought in Central Iran based on SPDI Index. Contemp Probl Ecol 13(6):694–707

    Article  Google Scholar 

  • Yaghmaei L, Jafari R, Soltani S (2021) Investigating net primary production in climate regions of central Zagros, Iran, using MODIS and meteorological data. Clim Res 83:173–186

    Article  Google Scholar 

  • Yu D, Shi P, Shao H, Zhu W, Pan Y (2009) Modelling net primary productivity of terrestrial ecosystems in East Asia based on an improved CASA ecosystem model. Int J Remote Sens 30(18):4851–4866

    Article  Google Scholar 

  • Yuan J, Niu Z, Wang C (2006) Vegetation NPP distribution based on MODIS data and CASA model—A case study of northern Hebei Province. Chin Geogra Sci 16(4):334–341

    Article  Google Scholar 

  • Zarei A, Chemura A, Gleixner S, Hoff H (2021) Evaluating the grassland NPP dynamics in response to climate change in Tanzania. Ecol Ind 125:107600

    Article  Google Scholar 

  • Zha X, Niu B, Li M, Duan C (2022) Increasing impact of precipitation on alpine-grassland productivity over Last two decades on the Tibetan Plateau. Remote Sens 14(14):3430

    Article  Google Scholar 

  • Zhang L, Lü Y, Fu B, Dong Z, Zeng Y, Wu B (2017) Mapping ecosystem services for China’s ecoregions with a biophysical surrogate approach. Landsc Urban Plan 161:22–31

    Article  Google Scholar 

Download references

Acknowledgements

This study was funded by Iran National Science Foundation (INSF). We are grateful to the INSF for financial supporting of the research with the grant No. 99011835.

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Authors and Affiliations

  1. Department of Environment, Faculty of Natural Resources and Earth Sciences, University of Kashan, Kashan, Iran

    Afsaneh Afzali

  2. Department of Natural Resources, Isfahan University of Technology, Isfahan, Iran

    Fatemeh Hadian & Leila Yaghmaei

  3. Center for Spatial Data Infrastructures and Land Administration, The University of Melbourne, Melbourne, Australia

    Soheil Sabri

Authors
  1. Afsaneh Afzali
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  2. Fatemeh Hadian
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  3. Soheil Sabri
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  4. Leila Yaghmaei
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Contributions

A.A. was the supervisor. A.A. and F. H. were the designer of the hypotheses, wrote the text of the article and interpreted the data. S.S. and L.Y. helped to interpret part of data and all authors substantively revised the text. A.A. and S.S. edited the English language.

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Correspondence to Afsaneh Afzali.

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The authors of the manuscript titled “Investigating Net Primary Production in Climate Regions of Khuzestan Province, Iran using CASA model” declare that they have no competing interests.

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Afzali, A., Hadian, F., Sabri, S. et al. Investigating net primary production in climate regions of Khuzestan Province, Iran using CASA model. Int J Biometeorol (2024). https://doi.org/10.1007/s00484-024-02671-z

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  • DOI: https://doi.org/10.1007/s00484-024-02671-z

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