Mapping Global Environmental Suitability for Sorghum bicolor (L.) Moench

Sorghum bicolor (L.) Moench, called sweet sorghum, is a drought-resistant and heat-tolerant plant used for ethanol bioenergy production, and is able to reduce the competition between growing crops for energy vs. growing crops for food. Quantitatively mapping the marginal lands of sweet sorghum is essential for the development of sorghum-based fuel ethanol production. However, knowledge of the contemporary marginal lands of sweet sorghum remains incomplete, and usually relies on sample data or is evaluated at a national or regional scale based on established rules. In this study, a novel method was demonstrated for mapping the global marginal lands of sweet sorghum based on a machine learning model. The total amount of global marginal lands suitable for sweet sorghum is 4802.21 million hectares. The model was applied to training and validation samples, and achieved high predictive performance, with the area under the receiver operating characteristic (ROC) curve (AUC) values of 0.984 and 0.978, respectively. In addition, the results illustrate that maximum annual temperature contributes more than do other variables to the predicted distribution of sweet sorghum and has a contribution rate of 40.2%.

[1]  Richard Heede,et al.  Tracing anthropogenic carbon dioxide and methane emissions to fossil fuel and cement producers, 1854–2010 , 2013, Climatic Change.

[2]  D. Jiang,et al.  Potential marginal land resources of cassava worldwide: A data-driven analysis , 2019, Renewable and Sustainable Energy Reviews.

[3]  J. M. Wet,et al.  THE ORIGIN OF SORGHUM BICOLOR. II. DISTRIBUTION AND DOMESTICATION , 1967, Evolution; international journal of organic evolution.

[4]  Dong Jiang,et al.  Could biofuel development stress China's water resources? , 2017 .

[5]  Bruno Gérard,et al.  Changes in the diversity and geographic distribution of cultivated millet (Pennisetum glaucum (L.) R. Br.) and sorghum (Sorghum bicolor (L.) Moench) varieties in Niger between 1976 and 2003 , 2009, Genetic Resources and Crop Evolution.

[6]  Andrea Monti,et al.  Are we ready to cultivate sweet sorghum as a bioenergy feedstock? A review on field management practices , 2012 .

[7]  D. Tilman,et al.  Carbon-Negative Biofuels from Low-Input High-Diversity Grassland Biomass , 2006, Science.

[8]  Mihaela M. Martis,et al.  The Sorghum bicolor genome and the diversification of grasses , 2009, Nature.

[9]  Dong Jiang,et al.  Spatial-temporal variation of marginal land suitable for energy plants from 1990 to 2010 in China , 2014, Scientific Reports.

[10]  D. Zhuang,et al.  Evaluating the Marginal Land Resources Suitable for Developing Bioenergy in Asia , 2014 .

[11]  J. Friedman.  Greedy function approximation: A gradient boosting machine. , 2001 .

[12]  D. Zhuang,et al.  Assessment of bioenergy potential on marginal land in China , 2011 .

[13]  Dong Jiang,et al.  Assessment of the biomass energy potentials and environmental benefits of Jatropha curcas L. in Southwest China , 2013 .

[14]  J. L. Parra,et al.  Very high resolution interpolated climate surfaces for global land areas , 2005 .

[15]  J. Rogelj,et al.  Paris Agreement climate proposals need a boost to keep warming well below 2 °C , 2016, Nature.

[16]  Andrew P. Bradley,et al.  The use of the area under the ROC curve in the evaluation of machine learning algorithms , 1997, Pattern Recognit..

[17]  Gareth Edwards-Jones,et al.  Biochar-mediated changes in soil quality and plant growth in a three year field trial , 2012 .

[18]  C. Murray,et al.  Mapping global environmental suitability for Zika virus , 2016, eLife.

[19]  Xuesong Zhang,et al.  Sustainable bioenergy production from marginal lands in the US Midwest , 2013, Nature.

[20]  Neil Hewitt,et al.  A Techno-economic assessment of the reduction of carbon dioxide emissions through the use of biomass co-combustion , 2011 .

[21]  Stefano Amaducci,et al.  Environmentally Sustainable Biogas? The Key Role of Manure Co-Digestion with Energy Crops , 2015 .

[22]  John A. Silander,et al.  Deciduous forest responses to temperature, precipitation, and drought imply complex climate change impacts , 2015, Proceedings of the National Academy of Sciences.

[23]  K. Boote,et al.  Effects of season-long high temperature growth conditions on sugar-to-starch metabolism in developing microspores of grain sorghum (Sorghum bicolor L. Moench) , 2007, Planta.

[24]  Joshua S Yuan,et al.  Plants to power: bioenergy to fuel the future. , 2008, Trends in plant science.

[25]  A. Classen,et al.  Climate change effects on plant biomass alter dominance patterns and community evenness in an experimental old‐field ecosystem , 2010 .

[26]  David L. Smith,et al.  Mapping the zoonotic niche of Ebola virus disease in Africa , 2014, eLife.

[27]  Ibrahim Dincer,et al.  Hydrogen as a renewable and sustainable solution in reducing global fossil fuel consumption , 2008 .

[28]  John S. Brownstein,et al.  The global distribution and burden of dengue , 2013, Nature.

[29]  S. Geleta,et al.  Sweet sorghum (Sorghum bicolor [L.] Moench) a potential biofuel feedstock: Analysis of cultivar performance in the Mid-Atlantic , 2018, Renewable Energy.

[30]  Guanghui Zhou,et al.  Carbon dioxide emissions and energy efficiency analysis of China's regional thermal electricity generation , 2014 .

[31]  B. E. Vaughan,et al.  Ethanol as Fuel: Energy, Carbon Dioxide Balances, and Ecological Footprint , 2005 .

[32]  I. F. Wardlaw,et al.  Phloem Transport and the Regulation of Growth of Sorghum bicolor (Moench) at Low Temperature. , 1981, Plant physiology.

[33]  P. Traoré,et al.  Ecogeographical distribution of wild, weedy and cultivated Sorghum bicolor (L.) Moench in Kenya: implications for conservation and crop-to-wild gene flow , 2010, Genetic Resources and Crop Evolution.

[34]  Xiangzheng Deng,et al.  Potential land for plantation of Jatropha curcas as feedstocks for biodiesel in China , 2010 .

[35]  B. Mary,et al.  Soil water uptake and root distribution of different perennial and annual bioenergy crops , 2015, Plant and Soil.

[36]  Barbara A. Han,et al.  Updates to the zoonotic niche map of Ebola virus disease in Africa , 2016, eLife.

[37]  Dong Jiang,et al.  Evaluating the Marginal Land Resources Suitable for Developing Pistacia chinensis-Based Biodiesel in China , 2012 .

[38]  Jacob J. Jacobson,et al.  Analyzing and Comparing Biomass Feedstock Supply Systems in China: Corn Stover and Sweet Sorghum Case Studies , 2015 .

[39]  Steven J. Phillips,et al.  Sample selection bias and presence-only distribution models: implications for background and pseudo-absence data. , 2009, Ecological applications : a publication of the Ecological Society of America.

[40]  G. De’ath.  Boosted trees for ecological modeling and prediction. , 2007, Ecology.

[41]  N. Forsell,et al.  Contribution of the G20 economies to the global impact of the Paris agreement climate proposals , 2016, Climatic Change.