A novel protocol for assessment of aboveground biomass in rangeland environments
Charity Mundava A B F , Antonius G. T. Schut C , Petra Helmholz A B , Richard Stovold B D , Graham Donald B E and David W. Lamb B E
+ Author Affiliations
- Author Affiliations
A Curtin University, Bentley, WA 6102, Australia.
B Cooperative Research Centre for Spatial Information, Carlton South, Vic. 3053, Australia.
C Wageningen University, Plant Production Systems Group, 6700 AK, Wageningen, The Netherlands.
D Western Australian Land Information Authority, Landgate, Floreat, WA 6014, Australia.
E Precision Agriculture Research Group, University of New England, Armidale, NSW 2351, Australia.
F Corresponding author. Email: cmundava@yahoo.com
The Rangeland Journal 37(2) 157-167 https://doi.org/10.1071/RJ14072
Submitted: 28 May 2014 Accepted: 11 October 2014 Published: 5 February 2015
Abstract
Current methods to measure aboveground biomass (AGB) do not deliver adequate results in relation to the extent and spatial variability that characterise rangelands. An optimised protocol for the assessment of AGB is presented that enables calibration and validation of remote-sensing imagery or plant growth models at suitable scales. The protocol combines a limited number of destructive samples with non-destructive measurements including normalised difference vegetation index (NDVI), canopy height and visual scores of AGB. A total of 19 sites were sampled four times during two growing seasons. Fresh and dry matter weights of dead and green components of AGB were recorded. Similarity of responses allowed grouping into Open plains sites dominated by annual grasses, Bunch grass sites dominated by perennial grasses and Spinifex (Triodia spp.) sites. Relationships between non-destructive measurements and AGB were evaluated with a simple linear regression per vegetation type. Multiple regression models were first used to identify outliers and then cross-validated using a ‘Leave-One-Out’ and ‘Leave-Site-Out’ (LSO) approach on datasets including and excluding the identified outliers. Combining all non-destructive measurements into one single regression model per vegetation type provided strong relationships for all seasons for total and green AGB (adjusted R2 values of 0.65–0.90) for datasets excluding outliers. The model provided accurate assessments of total AGB in heterogeneous environments for Bunch grass and Spinifex sites (LSO-Q2 values of 0.70–0.88), whereas assessment of green AGB was accurate for all vegetation types (LSO-Q2 values of 0.62–0.84). The protocol described can be applied at a range of scales while considerably reducing sampling time.
Additional keywords: rangeland management, remote sensing, spatial variation.
References
Brummer, J. E., Nichols, J. T., Engel, R. K., and Eskridge, K. M. (1994). Efficiency of different quadrat sizes and shapes for sampling standing crop. Journal of Range Management 47, 84–89.| Efficiency of different quadrat sizes and shapes for sampling standing crop.Crossref | GoogleScholarGoogle Scholar |
Carter, J. O., Hall, W. B., Brook, K. D., McKeon, G. M., Day, K. A., and Paull, C. J. (2000). AussieGRASS: Australian Grassland and Rangeland Assessment by Spatial Simulation. In: ‘Applications of Seasonal Climate Forecasting in Agricultural and Natural Ecosystems – the Australian Experience’. (Eds G. Hammer, N. Nicholls and C. Mitchell.) pp. 329–349. (Kluwer Academic Press: Dordrecht, The Netherlands.)
Catchpole, W. R., and Wheeler, C. J. (1992). Estimating plant biomass: a review of techniques. Australian Journal of Ecology 17, 121–131.
| Estimating plant biomass: a review of techniques.Crossref | GoogleScholarGoogle Scholar |
Correll, O., Isselstein, J., and Pavlu, V. (2003). Studying spatial and temporal dynamics of sward structure at low stocking densities: the use of an extended rising-plate-meter method. Grass and Forage Science 58, 450–454.
| Studying spatial and temporal dynamics of sward structure at low stocking densities: the use of an extended rising-plate-meter method.Crossref | GoogleScholarGoogle Scholar |
DAFWA (2014). Department of Food and Agriculture, Western Australia. Available at: www.agric.wa.gov.au/ (accessed 31 March 2014).
Earle, D., and McGowan, A. (1979). Evaluation and calibration of an automated rising plate meter for estimating dry matter yield of pasture. Australian Journal of Experimental Agriculture 19, 337–343.
| Evaluation and calibration of an automated rising plate meter for estimating dry matter yield of pasture.Crossref | GoogleScholarGoogle Scholar |
Fisher, A., Hunt, L., James, C., Landsberg, J., Phelps, D., Smyth, A., and Watson, I. (2004). ‘Review of Total Grazing Pressure Management Issues and Priorities for Biodiversity Conservation in Rangelands: A Resource to Aid NRM Planning.’ Desert Knowledge CRC Project Report No. 3. (Desert Knowledge and Tropical Savannas Management CRC: Alice Springs, NT.)
Ganguli, A. C., Vermeire, L. T., Mitchell, R. B., and Wallace, M. C. (2000). Comparison of four non-destructive techniques for estimating standing crop in shortgrass plains. Agronomy Journal 92, 1211–1215.
| Comparison of four non-destructive techniques for estimating standing crop in shortgrass plains.Crossref | GoogleScholarGoogle Scholar |
George, M. R., Barry, S. J., Larson, S. R., McDougald, N. K., Ward, T. A., Harper, J. M., Dudley, D. M., Ingram, R. S., and Laca, E. A. (2006). Comparison of comparative yield and stubble height for estimating herbage standing crop in annual rangelands. Rangeland Ecology and Management 59, 438–441.
| Comparison of comparative yield and stubble height for estimating herbage standing crop in annual rangelands.Crossref | GoogleScholarGoogle Scholar |
Gerber, L. (2000). Development of a ground truthing method for determination of rangeland biomass using canopy reflectance properties. African Journal of Range & Forage Science 17, 93–100.
| Development of a ground truthing method for determination of rangeland biomass using canopy reflectance properties.Crossref | GoogleScholarGoogle Scholar |
Golbraikh, A., and Tropsha, A. (2002). Beware of q2! Journal of Molecular Graphics & Modelling 20, 269–276.
| Beware of q2!Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DC%2BD3MXpt1art7o%3D&md5=23758574690cc092d127ae5eb49f4448CAS |
Gourley, C., and McGowan, A. (1991). Assessing differences in pasture mass with an automated rising plate meter and a direct harvesting technique. Australian Journal of Experimental Agriculture 31, 337–339.
| Assessing differences in pasture mass with an automated rising plate meter and a direct harvesting technique.Crossref | GoogleScholarGoogle Scholar |
Harmoney, K. R., Moore, K. J., George, J. R., Brummer, E. C., and Russell, J. R. (1997). Determination of pasture biomass using four indirect methods. Agronomy Journal 89, 665–672.
| Determination of pasture biomass using four indirect methods.Crossref | GoogleScholarGoogle Scholar |
Hassett, R. C., Wood, H. L., Carter, J. O., and Danaher, T. J. (2000). A field method for state-wide ground-truthing of a spatial pasture growth model. Australian Journal of Experimental Agriculture 40, 1069–1079.
| A field method for state-wide ground-truthing of a spatial pasture growth model.Crossref | GoogleScholarGoogle Scholar |
Haydock, K., and Shaw, N. (1975). The comparative yield method for estimating dry matter yield of pasture. Australian Journal of Experimental Agriculture 15, 663–670.
Heinisch, O. (1962). Basic problems and techniques in range research. Biometrische Zeitschrift 6, 213–214.
Huete, A., Didan, K., Miura, T., Rodriguez, E. P., Gao, X., and Ferreira, L. G. (2002). Overview of the radiometric and biophysical performance of the MODIS vegetation indices. Remote Sensing of Environment 83, 195–213.
| Overview of the radiometric and biophysical performance of the MODIS vegetation indices.Crossref | GoogleScholarGoogle Scholar |
Laca, E. A. (2009). New approaches and tools for grazing management. Rangeland Ecology and Management 62, 407–417.
| New approaches and tools for grazing management.Crossref | GoogleScholarGoogle Scholar |
Laca, E. A., Demment, M. W., Winckel, J., and Kie, J. G. (1989). Comparison of weight estimate and rising-plate meter methods to measure herbage mass of a mountain meadow. Journal of Range Management 42, 71–75.
| Comparison of weight estimate and rising-plate meter methods to measure herbage mass of a mountain meadow.Crossref | GoogleScholarGoogle Scholar |
Li, G. D., Helyar, K. R., Castleman, L. J., Norton, G., and Fisher, R. P. (1998). The implementation and limitations of using falling plate meter to estimate pasture yields. In: ‘Agronomy, growing a greener future? Proceedings 9th Australian Agronomy Conference’. Wagga Wagga, NSW. (Eds D. L. Michalk, J. E. Pratley.) Available at: www.regional.org.au/au/asa/1998/3/046li.htm (accessed 19 September 2014).
Loague, K., and Green, R. E. (1991). Statistical and graphical methods for evaluating solute transport models: overview and application. Journal of Contaminant Hydrology 7, 51–73.
| Statistical and graphical methods for evaluating solute transport models: overview and application.Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DyaK3MXktFCru74%3D&md5=916fa7199d3fedd22947aedc54b16277CAS |
López Díaz, J. E., and González-Rodríguez, A. (2003). Measuring grass yield by non-destructive methods. In: ‘Optimal forage systems for animal production and the environment. Proceedings of the 12th Symposium of the European Grassland Federation’. Pleven, Bulgaria, 26–28 May 2003. (Eds A. Kirilov, N. Todorov, I. Katerov.) pp. 569–572.
Lu, D. (2006). The potential and challenge of remote sensing-based biomass estimation. International Journal of Remote Sensing 27, 1297–1328.
| The potential and challenge of remote sensing-based biomass estimation.Crossref | GoogleScholarGoogle Scholar |
Manley, W. A., Hart, R. H., Samuel, M. J., Smith, M. A., Waggoner, J. W., and Manley, J. T. (1997). Vegetation, cattle, and economic responses to grazing strategies and pressures. Journal of Range Management 50, 638–646.
| Vegetation, cattle, and economic responses to grazing strategies and pressures.Crossref | GoogleScholarGoogle Scholar |
Marsett, R. C., Qi, J., Heilman, P., Biedenbender, S. H., Watson, M. C., Am, S., Weltz, M., Goodrich, D., and Marsett, R. (2006). Remote sensing for grassland management in the arid south-west. Rangeland Ecology and Management 59, 530–540.
| Remote sensing for grassland management in the arid south-west.Crossref | GoogleScholarGoogle Scholar |
Martin, R. C., Astatkie, T., Cooper, J. M., and Fredeen, A. H. (2005). A comparison of methods used to determine biomass on naturalized swards. Journal of Agronomy & Crop Science 191, 152–160.
| A comparison of methods used to determine biomass on naturalized swards.Crossref | GoogleScholarGoogle Scholar |
Muir, J., Schmidt, M., Tindall, D., Trevithick, R., Scarth, P., and Stewart, J. B. (2011). ‘Field Measurement of Fractional Ground Cover: A Technical Handbook Supporting Ground Cover Monitoring for Australia.’ (ABARES: Canberra, ACT.)
Murphy, W. M., Silman, J. P., and Barreto, A. D. M. (1995). A comparison of quadrat, capacitance meter, HFRO sward stick, and rising plate for estimating herbage mass in a smooth-stalked, meadowgrass-dominant white clover sward. Grass and Forage Science 50, 452–455.
| A comparison of quadrat, capacitance meter, HFRO sward stick, and rising plate for estimating herbage mass in a smooth-stalked, meadowgrass-dominant white clover sward.Crossref | GoogleScholarGoogle Scholar |
O’Reagain, P. O., Bushell, J., Holloway, C., and Reid, A. (2009). Managing for rainfall variability: effect of grazing strategy on cattle production in a dry tropical savanna. Animal Production Science 49, 85–99.
| Managing for rainfall variability: effect of grazing strategy on cattle production in a dry tropical savanna.Crossref | GoogleScholarGoogle Scholar |
Orr, D. M., and O’Reagain, P. J. (2011). Managing for rainfall variability: impacts of grazing strategies on perennial grass dynamics in a dry tropical savanna. The Rangeland Journal 33, 209–220.
| Managing for rainfall variability: impacts of grazing strategies on perennial grass dynamics in a dry tropical savanna.Crossref | GoogleScholarGoogle Scholar |
Orr, D. M., and Phelps, D. G. (2013). Impacts of level of utilisation by grazing on an Astrebla (Mitchell grass) grassland in north-western Queensland between 1984 and 2010. 1. Herbage mass and population dynamics of Astrebla spp. The Rangeland Journal 35, 1–15.
| Impacts of level of utilisation by grazing on an Astrebla (Mitchell grass) grassland in north-western Queensland between 1984 and 2010. 1. Herbage mass and population dynamics of Astrebla spp.Crossref | GoogleScholarGoogle Scholar |
Psomas, A., Kneubühler, M., Huber, S., Itten, K., and Zimmermann, N. E. (2011). Hyperspectral remote sensing for estimating above-ground biomass and for exploring species richness patterns of grassland habitats. International Journal of Remote Sensing 32, 9007–9031.
| Hyperspectral remote sensing for estimating above-ground biomass and for exploring species richness patterns of grassland habitats.Crossref | GoogleScholarGoogle Scholar |
Reeves, M. C., Winslow, J. C., and Running, S. W. (2001). Mapping weekly rangeland vegetation productivity using MODIS algorithms. Journal of Range Management 54, A90–A105.
Ritchie, M., and Anderson, E. (1996). Monitoring grazing lands in Northern Australia. In: ‘Proceedings of Workshop’. 15–17 October 1996, Gatton, Queensland. (Eds J. Tothill, I. Partridge.) pp. 44–56.
Schut, A. G. T., Stephens, D. J., Stovold, R. G. H., Adams, M., and Craig, R. L. (2009). Improved wheat yield and production forecasting with a moisture stress index, AVHRR and MODIS data. Crop & Pasture Science 60, 60–70.
| Improved wheat yield and production forecasting with a moisture stress index, AVHRR and MODIS data.Crossref | GoogleScholarGoogle Scholar |
Shilling, D. (1948). The birds of Upper Liveringa Station, Western Australia. Emu 48, 64–72.
| The birds of Upper Liveringa Station, Western Australia.Crossref | GoogleScholarGoogle Scholar |
Starks, P. J., Zhao, D., Phillips, W. A., and Coleman, S. W. (2006). Development of canopy reflectance algorithms for real-time prediction of Bermudagrass pasture biomass and nutritive values. Crop Science 46, 927–934.
| Development of canopy reflectance algorithms for real-time prediction of Bermudagrass pasture biomass and nutritive values.Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DC%2BD28XjtV2kt70%3D&md5=035d2bd4431426ca0ad5664246d76dadCAS |
t’Mannetje, L., and Haydock, K. P. (1963). The dry-weight-rank method for the botanical analysis of pasture. Grass and Forage Science 18, 268–275.
| The dry-weight-rank method for the botanical analysis of pasture.Crossref | GoogleScholarGoogle Scholar |
t’Mannetje, L., and Jones, R. M. (2000‘Field and Laboratory Methods for Grassland and Animal Production Research.’ (CAB International: Wallingford, UK.)). , .
Tothill, J. C., McDonald, C. K., Jones, R. M., and Hargreaves, J. N. G. (1992). ‘BOTANAL: a comprehensive sampling procedure for estimating pasture yield and composition. Field sampling.’ Tropical Agronomy Technical Memorandum. (CSIRO Division of Tropical Crops and Pastures: Brisbane, Qld.)
Tropsha, A. (2010). Best practices for QSAR model development, validation, and exploitation. Molecular Informatics 29, 476–488.
| Best practices for QSAR model development, validation, and exploitation.Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DC%2BC3cXpslWktrw%3D&md5=2bebed4782afb89fd3d77a6e3eeab45eCAS |
Trotter, M. G., Lamb, D. W., Donald, G. E., and Schneider, D. A. (2010). Evaluating an active optical sensor for quantifying and mapping green herbage mass and growth in a perennial grass pasture. Crop & Pasture Science 61, 389–398.
| Evaluating an active optical sensor for quantifying and mapping green herbage mass and growth in a perennial grass pasture.Crossref | GoogleScholarGoogle Scholar |
Williamson, H. D., and Eldridge, D. J. (1993). Pasture status in a semi-arid grassland. International Journal of Remote Sensing 14, 2535–2546.
| Pasture status in a semi-arid grassland.Crossref | GoogleScholarGoogle Scholar |
Zhou, Q., Robson, M., and Pilesjo, P. (1998). On the ground estimation of vegetation cover in Australian rangelands. International Journal of Remote Sensing 19, 1815–1820.
| On the ground estimation of vegetation cover in Australian rangelands.Crossref | GoogleScholarGoogle Scholar |
