Grazing capacity determination in short-term and long-term scales using MODIS and Sentinel-2 data in the southern rangelands of Zagros, Iran
F. Jafari A , R. Jafari A * and H. Bashari A
+ Author Affiliations
- Author Affiliations
A Department of Natural Resources, Isfahan University of Technology, Isfahan, Iran.
* Correspondence to: reza.jafari@iut.ac.ir
The Rangeland Journal 45(2) 67-80 https://doi.org/10.1071/RJ23004
Submitted: 18 January 2023 Accepted: 25 July 2023 Published: 17 August 2023
© 2023 The Author(s) (or their employer(s)). Published by CSIRO Publishing on behalf of the Australian Rangeland Society.
Abstract
Mapping and updating grazing capacity are necessary due to spatio-temporal variations of production in rangelands as a result of climatic and management changes. This study utilised short- and long-term grazing capacity mapping and monitoring by using satellite images in the rangelands of southern Zagros, Iran. In 2018, production of 16 rangeland types was estimated at spatial scales of 250 and 10 m from MODIS and Sentinel-2 images, and validated with field production data measured at 185 sampling sites through the R2 coefficient of determination. The production maps, along with the parameters of allowable utilisation of rangeland plant species, animal grazing area, animal daily requirement and length of grazing period, were used to calculate grazing capacity. In addition, the effect of climatic fluctuations on grazing capacity was investigated using the Standard Index of Annual Precipitation (SIAP) index from 2009 to 2018. The production obtained from satellite images varied between 2.4 and 393.2 kg ha−1 in 2018. The high correlation (80%) between image production maps and field measurements, as well as the significance of these relationships in all rangeland types (P < 0.05), allowed grazing capacity estimation by using satellite-based production. The minimum and maximum grazing capacities in a 100-day period were 1809 and 297 146 animal units (AU) respectively, in 258 387 ha. Grazing capacity monitoring from 2009 to 2018 showed that during a drought period, AUs were about 0.7 ha−1 below those in years of above-average rainfall. Use of satellite remote-sensing with different spatio-temporal scales therefore appears capable of mapping and monitoring grazing capacity, and can be used as a management tool by rangeland owners and related organisations.
Keywords: animal unit, drought, rangeland production, remote-sensing, spatial resolution, temporal resolution, vegetation type, Zagros mountains.
References
Amiraslani, F, and Dragovich, D (2011). Combating desertification in Iran over the last 50 years: an overview of changing approaches. Journal of Environmental Management 92, 1–13.| Combating desertification in Iran over the last 50 years: an overview of changing approaches.Crossref | GoogleScholarGoogle Scholar |
Amiri, F, and Arzani, H (2010). Rangeland management based on grazing capacity and vegetation index (case study: semi-arid region of Gharehaghach, Isfahan). The Rangeland 3, 680–698.
AREEO (2009) Agricultural Research, Education and Extension Organization (AREEO). Report, Ecological regions of Iran. 241 p. Research Institute of Forests and Rangelands, Yasouj, Iran.
Arzani, H, Jafarian Jelodar, Z, Nikkhah, A, Azanivand, H, and Ghorbani, M (2010). Determination of animal unit weight and daily animal requirement by metabolizable energy of Farahani sheep breed. Iranian Journal of Animal Science Research 2, 133–140.
| Determination of animal unit weight and daily animal requirement by metabolizable energy of Farahani sheep breed.Crossref | GoogleScholarGoogle Scholar |
Arzani, H, AslanPanjeh, B, ZareChahouki, MA, and Mohajeri, A (2014). Short-term and long-term grazing capacity of Semiram rangelands, Isfahan province. Journal of Rangeland 3, 1–20.
Asam S, Canova E, Thonfeld F, Orynbaikyzy A (2022) Estimating grassland biomass and livestock carrying capacity using Sentinel data to strengthen grazing management on local to national scales in Armenia. In ‘ESA Living Planet Symposium’, 23–27 May 2022, Bonn, Deutschland. (European Space Agency)
Babazekri, F, Nooripoor, M, and Sharifi, Z (2017). Identifying and prioritizing factors affecting degradation of rangelands and forests: the case of central district of Dena county. Journal of Zagros Forests Researches 3, 43–66.
Badjian, GR, Ismail, D, Othman, MS, and Mehrabi, AA (2006). Study of the factors influencing nutritional models of different feeding systems in Bakkan region, southern Iran. Livestock Research for Rural Development 18, 1–19.
Bazrafshan, J, and Khalili, A (2013). Spatial analysis of meteorological drought in Iran from 1965 to 2003. Desert 18, 63–71.
Bonham CD (1989) ‘Measurements for terrestrial vegetation.’ 2nd edn. (John Wiley and Sons: New York, NY, USA)
Bradford, JB, Lauenroth, WK, Burke, IC, and Paruelo, JM (2006). The influence of climate, soils, weather, and land use on primary production and biomass seasonality in the US great plains. Ecosystems 9, 934–950.
| The influence of climate, soils, weather, and land use on primary production and biomass seasonality in the US great plains.Crossref | GoogleScholarGoogle Scholar |
Chen, Y, Guerschman, JP, Cheng, Z, and Guo, L (2019). Remote sensing for vegetation monitoring in carbon capture storage regions: a review. Applied Energy 240, 312–326.
| Remote sensing for vegetation monitoring in carbon capture storage regions: a review.Crossref | GoogleScholarGoogle Scholar |
Cisneros, A, Fiorio, P, Menezes, P, Pasqualotto, N, Van Wittenberghe, S, Bayma, G, and Furlan Nogueira, S (2020). Mapping productivity and essential biophysical parameters of cultivated tropical grasslands from Sentinel-2 imagery. Agronomy 10, 711.
| Mapping productivity and essential biophysical parameters of cultivated tropical grasslands from Sentinel-2 imagery.Crossref | GoogleScholarGoogle Scholar |
Emadodin, I, and Bork, HR (2012). Degradation of soils as a result of long-term human-induced transformation of the environment in Iran: an overview. Journal of Land Use Science 7, 203–219.
| Degradation of soils as a result of long-term human-induced transformation of the environment in Iran: an overview.Crossref | GoogleScholarGoogle Scholar |
Gang, C, Zhang, Y, Wang, Z, Chen, Y, Yang, Y, Li, J, Cheng, J, Qi, J, and Odeh, I (2017). Modeling the dynamics of distribution, extent, and NPP of global terrestrial ecosystems in response to future climate change. Global and Planetary Change 148, 153–165.
| Modeling the dynamics of distribution, extent, and NPP of global terrestrial ecosystems in response to future climate change.Crossref | GoogleScholarGoogle Scholar |
Goldsmith FB (1991) ‘Monitoring for Conservation and Ecology.’ (Springer: Dordrecht, Netherlands)
Green, S, Cawkwell, F, and Dwyer, E (2016). Cattle stocking rates estimated in temperate intensive grasslands with a spring growth model derived from MODIS NDVI time-series. International Journal of Applied Earth Observation and Geoinformation 52, 166–174.
| Cattle stocking rates estimated in temperate intensive grasslands with a spring growth model derived from MODIS NDVI time-series.Crossref | GoogleScholarGoogle Scholar |
Hadian, F, Jafari, R, Bashari, H, Tartesh, M, and 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. Journal of Arid Land 11, 477–494.
| 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.Crossref | GoogleScholarGoogle Scholar |
Holechek JL, Pieper RD, Herbel CH (1989) ‘Range management; principles and practices.’ (Prentice-Hall)
Jafari, R, Lewis, MM, and Ostendorf, B (2007). Evaluation of vegetation indices for assessing vegetation cover in southern arid lands in South Australia. The Rangeland Journal 29, 39–49.
| Evaluation of vegetation indices for assessing vegetation cover in southern arid lands in South Australia.Crossref | GoogleScholarGoogle Scholar |
Jenkins, DG, Erb, K-H, and Haberl, H (2022). Socio-ecological predictors of global patterns in human appropriation of net primary production. Ecological Indicators 142, 109249.
| Socio-ecological predictors of global patterns in human appropriation of net primary production.Crossref | GoogleScholarGoogle Scholar |
Karami, A, and Feghhi, J (2012). Investigation of quantitative metrics to protect the landscape in land use by sustainable pattern (Case study: Kohgiluyeh and Boyer Ahmad). Journal of Environmental Studies 37, 79–88.
Khalili, A, and Bazrafshan, J (2003). Assessing the efficiency of several drought indices in different climatic regions of Iran. Nivar Journal 48, 79–93.
Majidi Karani N (2014) ‘Historical and natural geoghraphy of Kohgiluyeh and Boyer-Ahmad province.’ (Aroon Press: Tehran, Iran)
Martínez-Valderrama, J, Ibáñez, J, Del Barrio, G, Alcalá, FJ, Sanjuán, ME, Ruiz, A, Hirche, A, and Puigdefábregas, J (2018). Doomed to collapse: why Algerian steppe rangelands are overgrazed and some lessons to help land-use transitions. Science of the Total Environment 613–614, 1489–1497.
| Doomed to collapse: why Algerian steppe rangelands are overgrazed and some lessons to help land-use transitions.Crossref | GoogleScholarGoogle Scholar |
Martínez-Valderrama, J, Ibáñez, J, Ibáñez, MA, Alcalá, FJ, Sanjuán, ME, Ruiz, A, and del Barrio, G (2021). Assessing the sensitivity of a Mediterranean commercial rangeland to droughts under climate change scenarios by means of a multidisciplinary integrated model. Agricultural Systems 187, 103021.
| Assessing the sensitivity of a Mediterranean commercial rangeland to droughts under climate change scenarios by means of a multidisciplinary integrated model.Crossref | GoogleScholarGoogle Scholar |
McKeon, GM, Stone, GS, Syktus, JI, Carter, JO, Flood, NR, Ahrens, DG, Bruget, DN, Chilcott, CR, Cobon, DH, Cowley, RA, Crimp, SJ, Fraser, GW, Howden, SM, Johnston, PW, Ryan, JG, Stokes, CJ, and Day, KA (2009). Climate change impacts on northern Australian rangeland livestock carrying capacity: a review of issues. The Rangeland Journal 31, 1–29.
| Climate change impacts on northern Australian rangeland livestock carrying capacity: a review of issues.Crossref | GoogleScholarGoogle Scholar |
Mesdaghi M (2010) ‘Range Management in Iran.’ 6th edn. 333 p. (Imam Reza University Press: Iran)
Meteorological Organization (2018) Kohgiluyeh and Boyer-Ahmad meteorological organization, climate data. (CD-ROM) Yasuj, Iran.
Milchunas, DG, Lauenroth, WK, Chapman, PL, and Kazempour, MK (1989). Effects of grazing, topography, and precipitation on the structure of a semiarid grassland. Vegetatio 80, 11–23.
| Effects of grazing, topography, and precipitation on the structure of a semiarid grassland.Crossref | GoogleScholarGoogle Scholar |
Mishra, AK, and Singh, VP (2010). A review of drought concepts. Journal of Hydrology 391, 202–216.
| A review of drought concepts.Crossref | GoogleScholarGoogle Scholar |
Moghaddam M (2007) ‘Range and Range management’. 5th edn. (University of Tehran Press: Tehran, Iran)
Momeni, M, Jalalian, A, Kalbasi, M, and Khademi, H (2010). Nitrogen and organic loss following land use change and overgrazing in Soolegan catchment. Iranian Journal of Forest and Range Protection Research 7, 59–72.
Motamedi J, Arzani H, Jafari M (2021) Determination short-term grazing capacity in rangeland projects. Report, 33 p. Research Institute of Forests and Rangelands, Tehran, Iran.
NRC (1985) ‘Nutritrient requirements of domestic animals. Nutrient requirements of sheep.’ 6th edn. (National Academy of Science, National Research Council: Washington, DC, USA)
NRWMA (2018) ‘Field Data and Information.’ (CD-ROM) (Natural Resources and Watershed Mangement Administration: Kohgiluyeh and Boyer-Ahmad Province, Yasuj, Iran)
NRWMO (2018) ‘Field data and Information, Natural Resources and Watershed Mangement Organization, Land Use and Land Cover Map Extracted from Landsat TM and ETM + Sensors.’ (CD-ROM) (Kohgiluyeh and Boyer-Ahmad Province, Iran)
Parker, KW (1954). Application of ecology in the determination of range condition and trend. Journal of Range Management 7, 14–23.
| Application of ecology in the determination of range condition and trend.Crossref | GoogleScholarGoogle Scholar |
Qin, P, Sun, B, Li, Z, Gao, Z, Li, Y, Yan, Z, and Gao, T (2021). Estimation of grassland carrying capacity by applying high spatiotemporal remote sensing techniques in Zhenglan Banner, Inner Mongolia, China. Sustainability 13, 3123.
| Estimation of grassland carrying capacity by applying high spatiotemporal remote sensing techniques in Zhenglan Banner, Inner Mongolia, China.Crossref | GoogleScholarGoogle Scholar |
Rondeaux, G, Steven, M, and Baret, F (1996). Optimization of soil-adjusted vegetation indices. Remote Sensing of Environment 55, 95–107.
| Optimization of soil-adjusted vegetation indices.Crossref | GoogleScholarGoogle Scholar |
Sainnemekh, S, Barrio, IC, Densambuu, B, Bestelmeyer, B, and Aradóttir, ÁL (2022). Rangeland degradation in Mongolia: a systematic review of the evidence. Journal of Arid Environments 196, 104654.
| Rangeland degradation in Mongolia: a systematic review of the evidence.Crossref | GoogleScholarGoogle Scholar |
Salehi, H, Rezapoor, Z, and Namjoo, K (2018). Climatic zoning of Kohgiluyeh & Boyerahmad Province using factor and cluster analysis. Journal of Climate Research 8, 137–149.
Thornton, CM, and Elledge, AE (2021). Heavy grazing of buffel grass pasture in the Brigalow Belt bioregion of Queensland, Australia, more than tripled runoff and exports of total suspended solids compared to conservative grazing. Marine Pollution Bulletin 171, 112704.
| Heavy grazing of buffel grass pasture in the Brigalow Belt bioregion of Queensland, Australia, more than tripled runoff and exports of total suspended solids compared to conservative grazing.Crossref | GoogleScholarGoogle Scholar |
Tueller, PT (1992). Overview of remote sensing for range management. Geocarto International 7, 5–10.
| Overview of remote sensing for range management.Crossref | GoogleScholarGoogle Scholar |
Umuhoza, J, Jiapaer, G, Yin, H, Mind’je, R, Gasirabo, A, Nzabarinda, V, and Umwali, ED (2021). The analysis of grassland carrying capacity and its impact factors in typical mountain areas in Central Asia—A case of Kyrgyzstan and Tajikistan. Ecological Indicators 131, 108129.
| The analysis of grassland carrying capacity and its impact factors in typical mountain areas in Central Asia—A case of Kyrgyzstan and Tajikistan.Crossref | GoogleScholarGoogle Scholar |
Wei, L, Hai-Zhou, H, Zhi-Nan, Z, and Gao-Lin, W (2011). Effects of grazing on the soil properties and C and N storage in relation to biomass allocation in an alpine meadow. Journal of Soil Science and Plant Nutrition 11, 27–39.
| Effects of grazing on the soil properties and C and N storage in relation to biomass allocation in an alpine meadow.Crossref | GoogleScholarGoogle Scholar |
Wu, C, Chen, K, E, C, You, X, He, D, Hu, L, Liu, B, Wang, R, Shi, Y, Li, C, and Liu, F (2022). Improved CASA model based on satellite remote sensing data: simulating net primary productivity of Qinghai Lake basin alpine grassland. Geoscientific Model Development 15, 6919–6933.
| Improved CASA model based on satellite remote sensing data: simulating net primary productivity of Qinghai Lake basin alpine grassland.Crossref | GoogleScholarGoogle Scholar |
Yu, D, Shi, P, Shao, H, Zhu, W, and Pan, Y (2009). Modelling net primary productivity of terrestrial ecosystems in East Asia based on an improved CASA ecosystem model. International Journal of Remote Sensing 30, 4851–4866.
| Modelling net primary productivity of terrestrial ecosystems in East Asia based on an improved CASA ecosystem model.Crossref | GoogleScholarGoogle Scholar |
Zhang, YJ, Zhang, XQ, Wang, XY, Liu, N, and Kan, HM (2014). Establishing the carrying capacity of the grasslands of China: a review. The Rangeland Journal 36, 1–9.
| Establishing the carrying capacity of the grasslands of China: a review.Crossref | GoogleScholarGoogle Scholar |
