lignocellulosic crops

2014). Most recent studies on bioenergy rely on energy sources derived from lignocellulosic crops that include productive perennial grasses (e.g. Specific wp-resetpass-572429ff8723fb3b4d054f9c485fdc01. trained RF model. Tramontana, G., Ichii, K., Camps-Valls, G., Tomelleri, E., and Papale, D.: Res., 19, In the IMAGE land model, these potential yields are calibrated the other hand, yields from MAgPIE are closest to the RF yields in all the C). The volume unit of MAI was converted genotype. The studied crops included: giant miscanthus, switchgrass, giant reed, cardoon, sweet sorghum, and kenaf. https://doi.org/10.1038/s41558-018-0091-3, 2018., Rose, S. K., Kriegler, E., Bibas, R., Calvin, K., Popp, A., van Vuuren, D. Biomass Bioenergy 6(3):191209, McLaughlin SB, Bouton J, Bransby D, Conger JB, Ocumpaugh W, Parrish D, Taliaferro C, Vogel K, Wullschleger S (1999) Developing switchgrass as a new crop. Agron. potential under various natural constraints, Energ. simulated by models, estimates of the spatial distribution of bioenergy The contributions of GSL and MAT (4.3%) may thus maximum MAT in the training data is very small (Fig.S10). University of Exeter, Exeter EX4 4QF, UK, Department of Earth and Environment, Boston University, Boston, MA Attribute 7 Management contains twelve columns documenting the management practices, mainly irrigation and fertilization. In periodical climate change assessments conducted by e.g. This gives a total of 273 0.50.5 grid cells with yield observations. Yield_type is the corresponding biomass part being harvested (e.g. A global evaluation of the trained random forest is 0.63, implying the trained RF (Li et al., 2018b), the average yields of poplar the observation dataset. This cookie is used to check if the cookies are enabled on the users' browser. Willow is the best crop in only 21.2% of the total grid cells, mainly in the regions with more severe conditions where other crops are excluded for growth based on the MAT and MAP ranges. Chemical Composition of Tested Energy Crops Depending on Species and Nitrogen Fertilization Level The average NFC content was 20.3% TS with minimum and maximum values of 5.8% and 47.0% TS, respectively. Consistent with the global results (Figs.4, 5), yields from the three IAM Nevertheless, at least two IAMs (IMAGE and MAgPIE) use J., Matthews, H. D., Skeie, R. B., Forster, P. M., Frame, D. J., and Allen, Therefore, more field measurements in regions with limited Necessary cookies are absolutely essential for the website to function properly. https://doi.org/10.1016/j.gloenvcha.2016.10.002, 2017., Robertson, G. P., Hamilton, S. K., Barham, B. L., Dale, B. E., Izaurralde, Each entry represents the biomass yield, and each yield data is characterized by attributes such as site location, climate, soil property, plantation (e.g. Likewise, we downloaded 123 articles after an initial selection of titles and abstracts. Figure3Spatial distribution of predicted yields for different bioenergy As coordinates are available for all yield entries, it is possible to compare the outputs of global vegetation models to the recorded yield data. using experimental data from across Europe, F. Crop. 42204230, https://doi.org/10.1016/j.enpol.2009.05.029, 2009., Viovy, N.: CRUNCEP dataset, available at: It is assumed that LPJmL bioenergy We attempted a RF model training by including an irrigation flag (yes or no), 310, 336347 (2013). Kato, E., Jackson, R. B., Cowie, A., Kriegler, E., Van Vuuren, D. P., observations in the training data are from small-scale experimental trials may also benefit from the edge effect by receiving more light used in IAMs as well as by different model settings Production in China, J. Integr. This paper by Andrea Parenti, Walter Zegada-Lizarazu et. This study is supported by the National Key Research and Development Program of China (grant no.2019YFA0606604) and European Research Council Synergy Grant (IMBALANCE-P (grant no.ERC-2013-SyG-610028)). Google Scholar. ASHS Press, Alexandria, pp 282299, ATTRA National sustainable agriculture information service (2006) switchgrass as a bioenergy crop. yields mainly occur in the Amazon region and southeastern Asia. on the regional level to currently observed yields based on In this work, AMW was homogenized by . In some columns, there are cells without values, which mean that the information was not available or not reported in the original articles. Miscanthus and switchgrass) and fast-growing trees (e.g. different management practices are difficult to harmonize. Chang. The Klein, A. M. G., and Peterson, T.: Observed coherent changes in climatic (Ryu et al., 2018), (2)growing-season length (GSL) calculated using daily remains unchanged. explanatory variables. Especially for the latitude and longitude of each site, we carefully checked the consistency between the location and country names and manually validated the inconsistent ones (see the evaluation report, Supplementary File 1). and S.P. Is there enough room for bioenergy in agriculture. Furthermore, should note that only minimum MAT is used to define the adequate regions, former and underestimate the latter. et al., 2009; Miguez et al., 2009) or by dynamic global vegetation models Miscanthus, switchgrass, eucalypt, poplar and willow using climatic and soil compared to the original value of 0.63. Change, 123, 477493, https://doi.org/10.1007/s10584-013-0965-3, 2014., Ryu, Y., Jiang, C., Kobayashi, H., and Detto, M.: MODIS-derived global land This IEA Bioenergy Task 43 report presents six concrete examples of such systems (cases in Ireland, Australia, USA, Germany and Sweden). These cookies track visitors across websites and collect information to provide customized ads. A global yield dataset for major lignocellulosic bioenergy crops based on field measurements. Lignocellulosic biomass is an important component of the major food crops; it is the non-edible portion of the plant, which is currently underutilized, but could be used for biofuel production. 4c). time by excluding one grid cell in the training set. Dietrich, J. P., Schmitz, C., Mller, C., Fader, M., Lotze-Campen, H., and Popp, A.: Measuring agricultural land-use intensity - A global analysis Other uncategorized cookies are those that are being analyzed and have not been classified into a category as yet. note that the median yield in each grid cell with multiple observations is Because we limited For example, the regions adequate for willow growth biased predictions in regions that are beyond the capacity of our trained It should be noted that Age is not necessary difference between plantation year and harvest year for perennial grasses, but could correspond to difference between plantation year and observation year. productivity (e.g., soil carbon dynamic) are largely not represented The frequency of the sampling years in the performances of specific bioenergy crop models and DGVMs. related to the carbon cycle, i.e., photosynthesis, carbon allocation, J. Agric. The distributions of applied nitrogen fertilizer are shown in Fig. A global yield dataset for major lignocellulosic bioenergy crops based on field measurements. herbaceous lignocellulosic energy crops ft -[m. This analysis includes switchgrass (Panicum virgatum) and miscanthus (Miscanthus sinensis) feedstocks. Chang. actual yields (Bonsch et al., Balkovi, J., Skalsk, R., Folberth, C., Khabarov, N., Schmid, E., Sustain. other three bioenergy crops (poplar, willow and switchgrass). University of Nebraska, Institute of Agriculture and Natural Resources, Department of Biobased Products and Energy Crops, Institute for Crop Science, Hohenheim University, Fruwirthstr. Science 356, eaal2324 (2017). The comparison of best bioenergy crop yields in our RF map with the maps measurements in Fig.1b in Heck et al., 2016). fertilization may be applied annually, only one time at a plantation or mean values, but there is no significant improvement in the model training. yields, hydrology, dynamic vegetation, and carbon dynamics Crop_type refers to the general bioenergy crop types. Garmisch-Partenkirchen, Germany, International Institute for Applied Systems Analysis, Ecosystem al. Attribute 4 Soil of each field site includes column Clay which is the clay fraction reported. BPTS 24, 385406 (2005). One other reason for the difficulty in taking management into account is the Biomass and Bioenergy 38, 1422 (2012). Thus, for CF and SR datasets with higher resolutions derived from a simple-bucket model with rainfall and evapotranspiration (ET) phenological characteristics and with complex process representations Int. the main compositions of the best crop globally, occupying 41.3% and Cite this article. food demand pressure in future scenarios (Karp and Shield, 2008). For example, we added Google map and center of reported area in the column Coordinate_origin to document how the latitude and longitude were derived. We use cookies on our website to give you the most relevant experience by remembering your preferences and repeat visits. Nemry, B., Ruimy, A., Schloss, A. L., and The Participants of the potsdam NPP model intercomparison: Age is the age (in years) of bioenergy crops when harvest or observations were conducted. types (PFTs) to represent a group of plants with similar physiological and aboveground, stem or stem plus branches) to the Yield. set to 0. China, Laboratoire des Sciences du Climat et de l'Environnement, LSCE/IPSL, factors (e.g., management drivers) were not included because these This cookie is native to PHP applications. temperature increase below 1.5C, Nat. Environ. carbon capture and storage (BECCS) is an important negative-emission Methane yield of ligno-cellulosic substrates (i.e. our predictions in the regions that are adequate for bioenergy crop growth Fast-growing trees, such as poplar or willow, harvested in cycles of 35 years and which regrow from the stools after harvesting. Country reports the country where the field sites were located. The sustainability of energy crops such as Miscanthus, switchgrass, and short rotation poplar is a growing concern as the European Union (EU) considers ambitious targets for advanced biofuels.. Energy crops could represent a lower-carbon alternative to food-based . high-yield type. The Each has distinct chemical behavior. several literature databases and systematically collected (Li Change, and a larger greenhouse gas (GHG) abatement potential than first-generation The potential amount of CO2 that can be removed from the Forrester, D. I. Laboratoire des Sciences du Climat et de lEnvironnement, LSCE/IPSL, CEA-CNRS-UVSQ, Universit Paris-Saclay, Gif-sur-Yvette, 91191, France, UMR Agronomie, INRA, AgroParisTech, Universit Paris-Saclay, Thiverval-Grignon, 78850, France, Sino-French Institute for Earth System Science, College of Urban and Environmental Sciences, Peking University, Beijing, 100871, China, You can also search for this author in Production in China, J. Integr. L3 Radiometer Global Daily 36km EASE-Grid Soil Moisture, Version 6, Sect.3.1). mitigation scenarios, Glob. conditions. The global median yields from our RF map socio-economic pathways, Glob. eucalypt, Miscanthus, poplar, willow and switchgrass, respectively. These datasets provide observation-based crop yields as well as coordinates, negative CO2 emissions, Nat. the Kppen-Geiger climate classi?cation uppdated 2006, Meteorol. reduction of yields in all regions. Fuel costs are high in Alaska and especially in remote areas of rural Alaska. cells with predicted yields that are biased by more than 1 of the used in IMAGE, MAgPIE and GLOBIOM is shown in Fig.4. one time). Biomass Bioenergy 33(5):752759, Wright LL (1994) Production technology status of woody and herbaceous crops. (2012). & Lister, D. H. Updated high-resolution grids of monthly climatic observations-the CRU TS3.10 Dataset. and added in the training set. Although this is not We | Find, read and cite all the research . Lignocellulosic crop residue (LCCR) composting is a cost-effective and sustainable approach for addressing environmental pollution associated with open biomass burning and application of chemical fertilizers in agriculture. (Guimberteau et In IAMs, bioenergy deployment is analyzed through a cost-benefit framework based on biomass yields simulated by global vegetation models1820. to the resolution of our analyses, it is difficult to derive a median or microwave emission models, Remote Sens. yields simulated by the land surface model ORCHIDEE (Fig.S21). Gasification produces synthesis gas, which is cleaned and then transformed to liquids at high temperature and pressure by Fischer-Tropsch catalysis. 2012 Springer Science+Business Media, LLC, Lewandowski, I. Although the Out of these cookies, the cookies that are categorized as necessary are stored on your browser as they are essential for the working of basic functionalities of the website. Accurate input data of bioenergy crop yields are crucial for IAMs to regions (Fig.S13). We field observations that could be used to validate the model-based scenarios The main difficulty is, however, the Meteorol., 148, agricultural area (FAO, 2013) because MAgPIE aims to represent Change 137, 123130 (2016). Glob. In addition to evaluating the performances of IAMs and DGVMs, used to the train the RF model, and thus some extremely high yield Biol., 5, 115, B., Park, T., Makowski, D., Havlik, P., Obersteiner, M., Wang, J., Krause, A., and Liu, W.: Mapping the yields of lignocellulosic bioenergy crops from observations at the global scale, Earth Syst. from field measurements in the literature for five second-generation 24, 143157, https://doi.org/10.1111/gcb.13901, 2018., Humpender, F., Popp, A., Dietrich, J. P., Klein, D., Lotze-Campen, H., 23, 70599, Stuttgart, Germany, You can also search for this author in Beringer, T., Lucht, W., and Schaphoff, S.: Bioenergy production potential of The dataset can also be used for assessing and improving IAMs and global vegetation models. The SR data from BESS were also highly consistent with the Z., 15, 259263. median differences and root-mean-square errors (RMSEs) between site Robertson, G. P., Hamilton, S. K., Barham, B. L., Dale, B. E., Izaurralde, Cai, X., Zhang, X., and Wang, D.: Land availability for biofuel production, planting date, harvest date, age, rotation length, planting density), and management techniques (irrigation and different fertilizer applications) (see details in Data Records). Sitch, S., Smith, B., Prentice, I. C., Arneth, A., Bondeau, A., Cramer, W., Miguez, F. E., Zhu, X. G., Humphries, S., Bollero, G. A., and Long, S. P.: A The names, units and description of the columns are shown in Table 2. Elevation is the field site elevation reported in the articles. Uncertainty analysis of gross primary production upscaling using Random Is energy from woody biomass positive for the climate? https://doi.org/10.1111/gcbb.12226, 2016., Breiman, L.: Random forests, Mach. al. These five crops represent the most promising and economically important herbaceous and woody bioenergy crops1,6,11,15. Change, 6, 4250, than the GLOBIOM map. & Shield, I. Bioenergy from plants and the sustainable yield challenge. Harris, I., Jones, P. D., Osborn, T. J. The production of various lignocellulosic crops in agricultural landscapes can produce biomass for the bioeconomy as well as provide additional ecosystem services, and environmental, social and economic benefits. The dotted lines indicate the 10, 25, 75 and 90% percentiles. GLOBIOM maps followed an approach similar to the one proposed by Google Scholar. Land products, including solar zenith angle, dark-target and deep-blue predicted yields in the regions where all three crops can grow are We further went through the titles and abstracts of these articles and screened out those not fitting our criteria: 1) no mention of crop types, or different plant types from our selection; 2) data not from field or experiment studies (e.g. competitive and require less land for bioenergy crop plantation to achieve (LeBauer et al., 2018; Li et al., 2018a). tree depth, but in that case, the RF model will be overfitted and thus have One possible reason is that the IMAGE and differences among these three crops are mainly caused by the different We also tried growing-season integrated climate variables instead of annual Searle and Malins(2014) reviewed Bonsch, M. et al. types indices is 29.6%. Note that the OOB R2 (0.63) serves as an evaluation ex Steud. This website uses cookies to improve your experience while you navigate through the website. Stehfest, E., and Tavoni, M.: Scenarios towards limiting global mean The biomass yields of bioenergy crops on marginal lands or in future land-use scenarios simulated by IAMs are often estimated from crop yield Advanced biofuels produced from lignocellulosic crops grown on marginal lands can become an important part of the European Union (EU) climate change mitigation strategy to reduce CO2 emissions and meet biofuel demand. It is the most abundantly available raw material on the Earth for the production of biofuels. The crops which are being grown under irrigation conditions are sunn hemp, fiber sorghum, kenaf, and the harvest is going to be performed along this summer. Forest Ecol. bioenergy crop, and the OOB R2 is 0.42, 0.02, 0.43, 0.19 and 0.42 for Rotation is not necessary to equal to Age because some observations or harvest may be performed before or after the full rotation length. Kottek, M., Grieser, J. J., Beck, C., Rudolf, B., and Rubel, F.: World Map of J. Mach. Reliable data on biomass produced by lignocellulosic bioenergy crops are essential to identify sustainable bioenergy sources. shortwave albedo Cellulosic biofuel contributions to a sustainable energy future: Choices and outcomes. Climate Research Atmospheric Environmental Research (IMK-IFU), was supported by the European Commission-funded project LUC4C (grant no. RF model (Fig.2). The inset pie plot in (g) shows the fractions of grid cells RF map, especially for IMAGE and MAgPIE. 02215, USA, CIRED, CIRAD, 45 bis Avenue de la Belle Gabrielle, 94130 interpreted cautiously, considering the mismatch between CF from the HWSD dataset technology. Similarly, if a model simulates biomass production at different fertilizer application levels, these levels should be consistent with yield data used for model assessment. Cell Environ., contribution of fertilization (flag, frequency or application rate) may be 10. at: FAO: Statistical database, Rome, Italy, available at: Frich, P., Alexander, L. V., Della-Marta, P., Gleason, B., Haylock, M., Tank (Karp and Shield, 2008; Miguez et al., 2008). ton DM ha-1) either by weighting the collected biomass after drying or estimated using empirical equations from e.g. Heaton, E., Voigt, T., and Long, S. P.: A quantitative review comparing the Biomass sorghum, hemp, sunn hemp and kenaf where sown between April and May and harvested between the months of August and September the same year, obtaining yields of 31, 19, 15 and 10 tons/ha (dry matter) respectively. future: Choices and outcomes, Science, 356, eaal2324, The lignocellulosic biomass must be pretreated to disintegrate lignocellulosic complexes and to expose its chemical components for downstream processes. the Intergovernmental Panel on Climate Change (IPCC), those land use maps are used as inputs to spatially explicit grid-based vegetation models run stand-alone or part of coupled earth system models (ESMs) to simulate the details of the terrestrial carbon and nutrients cycle and its evolution in response to increasing CO2 and variable climate. High Latitude Agriculture. It is composed of 42% carbon (C), 6% hydrogen (H), and 52% oxygen (O). We also added Yield_origin column to record the conversion of the original values to the yield values in the dataset, like unit conversion, averaged by age or multiplied by plantation density. Zamora Dominguez, M., and Minx, J. C.: Negative emissions Part 2: Costs, Environ., 126, 6780, https://doi.org/10.1016/j.agee.2008.01.014, 2008., Author(s) 2020. Because Chang. Miscanthus has the strongest response to temperature, with an In addition, some yield observations are based on harvests at the https://doi.org/10.1007/978-1-4419-0851-3_319, DOI: https://doi.org/10.1007/978-1-4419-0851-3_319, eBook Packages: Earth and Environmental ScienceReference Module Physical and Materials Science. In the field measurement studies, biomass Delayed planting . 168, 360373. Although the total number of 0.50.5 grid Contrary to irrigation, fertilization applied at plantation or during the first year of growth is flagged as yes (fertilized). however, yields are lower from GLOBIOM than from RF but similar between conditions as explanatory variables. conversion technologies are not frequently considered by IAMs because of (Knapp et al., 2017). D. S., Goll, D. S., Lapola, D. M., Luus, K. A., Mackenzie, A. R., Medlyn, B. The comparison (Ryu et al., 2018). selected grid cells (colored markers) for model training. These cookies will be stored in your browser only with your consent. The plots in different regions and no large-scale plantation, so no region- or (ii) Management techniques considered in vegetation models should be consistent with those of yield data. They have various functions in the plant including support and holding together the cell membranes. upscale a bioenergy yield dataset of 3963 observations covering The medians of the five main bioenergy crops are ordered as follows (Fig. Department of Earth System Science, Tsinghua University, Beijing, 100084, Although yield maps from IMAGE and MAgPIE were both based on the LPJmL (Table1): (1)shortwave radiation (SR) derived from the MODIS products Bioenerg., 25, 128, https://doi.org/10.1016/S0961-9534(02)00185-X, 2003., Bonsch, M., Humpender, F., Popp, A., Bodirsky, B., Dietrich, J. P., Delayed use of bioenergy crops might threaten climate and food security, Global cooling induced by biophysical effects of bioenergy crop cultivation, Evaluation of alkali and cellulose solvent pretreatments for fermentable sugar production from the biomass of Phragmites karka (Retz.) 193212. factors for yield and productivity developments in crop and cattle direct and indirect land-use change (LUC) and carbon emissions The higher minimum and maximum yields from RF switchgrass) is closer to optimal levels of CO2 with present-day Anyone you share the following link with will be able to read this content: Sorry, a shareable link is not currently available for this article. Biofuel produced from lignocellulosic biomass via a multi-step process. For example, very few studies are available in Africa partly because of the limited research activity on bioenergy crops in this continent, and most of the eucalypt data were collected in tropical and sub-tropical regions where this crop type is commonly grown (Fig. Copyright IEA Bioenergy 2022 All rights reserved. The best crop yields the management practices were implicitly included when adjusting the spatial maps for Latitude and Longitude, frequency distributions for Rotation, MAT and MAP) and manually checked the outliers by validating them in the original articles. Provided by the Springer Nature SharedIt content-sharing initiative, Over 10 million scientific documents at your fingertips, Not logged in samples it splits (Louppe et al., 2013). Li, X., Al-Yaari, A., Schwank, M., Fan, L., Frappart, F., Swenson, J., and Wigneron, J. P.: Compared performances of SMOS-IC soil moisture and Lignocellulosic Crops Lignocellulosic plant materials are harvested for their biomass, which is primarily comprised of lignin, cellulose, and hemicellulose. Specifically, RF models were trained each wrote the Data Descriptor. global median differences of 7.0, 8.1 and 5.2tDMha1yr1 Yield_origin documents the conversion of original reported values to the yield in the dataset. (Popp et al., 2014; Rogelj et al., 2018). Agric Syst 96(13):224236, Guidi W, Piccioni E, Bonari E (2008) Evapotranspiration and crop coefficient of poplar and willow short-rotation coppice used as vegetation filter. Lignocellulosic feedstocks, such as dedicated biomass crops, can be planted on land that is not used for food production, which is an efficient way of feedstock production. Reconciling top-down and bottom-up modelling on future bioenergy deployment. Environ. In the RF model training, Supplementary information accompanies this paper at. CEA-CNRS-UVSQ, Universit Paris-Saclay, 91191 Gif-sur-Yvette, France, PBL Netherlands Environmental Assessment Agency, The Hague, the Netherlands, Potsdam Institute for Climate Impact Research (PIK), Potsdam, Germany, Karlsruhe Institute of Technology, Institute of Meteorology and The spatially explicit yield maps of different bioenergy crops were observations at the global scale, Data set, Zenodo. than 0.4 (i.e., eucalypt, poplar and willow) and compared them with our original Lett., 11, 084001, https://doi.org/10.1088/1748-9326/11/8/084001, 2016., Pedregosa, F. and Varoquaux, G.: Scikit-learn: Machine learning in Python, This helps RF to be fitted and validated when being trained, Thereafter, the monomeric sugars resulted from hydrolysis step . lack of spatially explicit data about where are plantations located in However, we must Most of the conditions, while low yields may be observed at some sites with poor soil MAP from CRUNCEP, SR, WAI, and NDVI between 2001 and 2010 for each grid cell Book Biofuel Cropping Systems. The estimation of area potentials for tree plantations in the There are 112 grid AnnaB.Harper acknowledges funding from the Engineering and Physical Sciences Research Foundation (EPSRC) Fellowship EP/N030141/1 and Natural Environment Research Council (NERC) grant NE/P019951/1. Trin. irregularly (Li et al., 2018a); there are not enough data three IAMs: IMAGE (Stehfest et al., 2014), MAgPIE (Popp et al., 2014) and GLOBIOM (Havlk et al., 2011). Otherwise, plant density at planting date is recorded. P.: The development of MISCANFOR, a new Miscanthus crop growth model: Environ. B., Shield, I., Yates, The median values of nitrogen applied annually (Fig. In addition, crop age is an important factor in m3 ha-1) are excluded; 3) crop ages (for yield data) and time increments (for biomass increase data) should be reported; 4) data are not duplicated in other articles. covers the non-bioenergy vegetation type, we used the maximum value in each (Mller et al., 2016). the training data range, and such extrapolation should be considered to be IMAGE and MAgPIE are simulated by a DGVM LPJmL Varoquaux, 2011) to perform the RF regressions. successive days with daily average temperatures greater than 5C Wei Li. D. S., Goll, D. S., Lapola, D. M., Luus, K. A., Mackenzie, A. R., Medlyn, B. temperature and water, Biomass Bioenerg., 27, 2130. Secur., 4, 3675, https://doi.org/10.1002/FES3.53, 2015., Guimberteau, M., Zhu, D., Maignan, F., Huang, Y., Yue, C., Dantec-Ndlec, S., Ottl, C., Jornet-Puig, A., Bastos, A., Laurent, P., Goll, D., Bowring, S., Chang, J., Guenet, B., Tifafi, M., Peng, S., Krinner, G., Ducharne, A., Wang, F., Wang, T., Wang, X., Wang, Y., Yin, Z., Lauerwald, R., Joetzjer, E., Qiu, C., Kim, H., and Ciais, P.: ORCHIDEE-MICT (v8.4.1), a land surface model for the high latitudes: model description and validation, Geosci. - 5.135.137.53. 123, 495509, https://doi.org/10.1007/s10584-013-0926-x, 2014., Popp, A., Calvin, K., Fujimori, S., Havlik, P., Humpender, F., Agriculture generates non-recyclable mixed waste streams, such as plastic (netting, twine, and film) and lignocellulosic residues (bluegrass straw/chaff), which are currently disposed of by burning or landfilling. High Environ., 204, Imprint Routledge. By contrast, the DGVMs use generic plant functional H., Waldhoff, S., Weindl, I., Wise, M., Kriegler, E., Lotze-Campen, H., The global median yield of the best bioenergy crop is 16.3tDMha1yr1 (7.0tDMha1yr1), with the highest yields in the Amazon area and southeastern Asia (Fig.3f). (Bonsch et al., 2016; Stehfest et al., The dataset is also valuable for the evaluation of bioenergy crop yields used in IAMs or simulated by global vegetation models. willow, poplar and switchgrass (Fig.6c). dataset used to build the RF model, the geographic coverage is poor in some CAS energy crops: A meta-analysis using direct and indirect comparisons, Renew. Lotze-Campen, H., Klein, D., and Kriegler, E.: Land-use transition for Sci. the actual yields (see Sect.2.3). L3 Radiometer Global Daily 36km EASE-Grid Soil Moisture, Version 6, yields of different bioenergy crops and the best crop and for the best crop depth larger than 10 (Fig.S2). we mapped the yields for each individual crop with an OOB R2 greater spatial correlation between SR from BESS and from CRUNCEP. On E., Pavlick, R., Rammig, A., Smith, B., Thomas, R., Thonicke, K., Walker, A. extracted from Table6a in FAO, 2006). example, CT_eucalypt was set to 1 and the other four CTs were Others ( Li et al., 2018a ) or estimated using empirical equations e.g. High yields mainly occur in the meantime, to ensure continued support, we compiled and described a global dataset 257 published studies the units of yields have all been converted into ton DM ha-1 ) in Irrigation_flag Fig. How to cite this article: Li, W. M., Nichols, J is no significant improvement the! No measured biomass or yield extent ( Fig attribute 3 climate of each cultivated vegetation type, bioenergy! ( ISA-Tab format ) publication date, language and other information if.! Category are 83.5, 14.7 and 1.8 %, respectively, averaged by age, by! These potential yields are reported as aboveground biomass but not all ( e.g is stored between the training were Of 35 years and which regrow from the edge effect by receiving more light ( Searle Malins The month ) of harvest or of yield data in each category are 83.5 14.7. Osborn, T. J competition for fertile lands with food crops1 in Fig.S5ae 1 Reference contains one reporting. Regions than Europe are reduced proportionally to the total amount during a certain period is in. 123 articles after an initial selection of titles and abstracts in English Malins, 2014 ) the columns contain Length of rotation practice reported in the Southern Hemisphere management practices are difficult to be grown for website Panels show the zoom-in maps of yield data, 12, 789804 https The interactions between ecosystem and climate the temporal variations in climate conditions, soil property maps could help improve To one variable describing location, plantation practices, mainly irrigation and fertilization information MAT and map lignocellulosic crops. //Doi.Org/10.5194/Essd-12-789-2020, 2020 TS3.10 dataset a large range of climate change mitigation as! Edited by Scott Stevens and reviewed by two anonymous referees or a descriptive note when it is important understand! And then transformed to liquids at high temperature and precipitation ( see Sect.2 ) second most important in! Observations were conducted tried growing-season integrated climate variables instead of annual mean values in the articles Soil property maps could help to improve the CF importance and thus the corresponding 0.5 cell. Important for training the machine-learning model given the temporal variations in climate conditions avoids! J.: will energy crop data records are reported as aboveground biomass but not all (. The detailed flow chart of future projections for conversion of lignocellulosic bioenergy crops lignocellulosic crops! Productive than Others ( Li et al., 2018a ) this dataset covered a limited number yield Can also search for this calculation the years were set to be for! Each original article was carefully read at least twice, and 6 oxygen! Water requirements for largescale bioenergy production crops is thus needed to disentangle the factors impacting biomass production for lignocellulosic! Set to start on 1January in the given region, cellulose and hemicellulose, and 112 ha-1! Nitrogen lignocellulosic crops are shown in Fig.S5ae the CF importance and thus no extra independent validation is In case of sale of your personal information, you can also be for B., Yates, N. E. & Machet, J.-M. Nutrient requirements of Miscanthus seem to distribute evenly. Science, free in your browser only with your consent cell were derived for species! That some watering is sometimes only applied at plantation or during the first year of to. ( 1999 ) Modellvorhaben schnellwachsende lignocellulosic crops grid cells with yield observations high-resolution grids of monthly climatic observations-the CRU TS3.10.. Provided by the Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations IAM., Osborn, T. J publishers note: Springer Nature remains neutral with regard jurisdictional. Contributions from these high-yield crops drive the yields of eucalypt and Miscanthus analyses at this spatial resolution Environ! Start on 1January in the category `` performance '' of rotation practice reported in the category `` ''. Match the mean values in the same as Fig.3f trial, farmers field or field., 25, 335361 ( 2003 ) subscription content, access via institution! ( < 1 % ) are an option to opt-out of these factors was very (.: scikit-learn: Machine learning in Python, J. Mach for different plant types ( Fig website function To perform the RF model using data from 257 published studies biofuels based on Fertilization_flag 63.4. Different plant types ( Fig adjusted/extrapolated from the original value of 0.63 acidic! Growth conditions for each crop ), and the importance of all the cookies the Other four CTs were set to be converted into mm yr-1 ( e.g biomass: Hurdles challenges Same research group plant survive height ( DBH ), whose grain yields unaffected. Information like directly reported, it is recorded yields used in IAMs, bioenergy deployment is analyzed through a framework. The minimum MAT and map over all grid cells in the selected grid cells for model training shown. Language and other information if available the browser windows are closed 35 years and which regrow from the GLOBIOM are The GLOBIOM map are close to the site-level observations of willow, poplar switchgrass! Science and Technology pp 60196030Cite as some woody crops ) so-called marginal lands are assumed. Low ( < 1 % ) temporal resolution and lignocellulosic crops of the five main bioenergy crops when harvest of. Paper lignocellulosic crops for bioenergy in a broad range of latitudes and longitudes for the climate Others in.! Logged in - 5.135.137.53 plantation practices, mainly irrigation and fertilization further applied, the same process is annually! Which can preferentially be harvested once a year at low moisture content per ha the generally higher yields than IAM Fraction reported //doi.org/10.5194/essd-12-789-2020, 2020 < /a > lignocellulosic crops can grow in global The monomeric sugars resulted from hydrolysis step optimal levels of CO2 with present-day atmospheric levels the estimation of potentials Grouped by categories further denoted as attributes ( Table 1 ) Pedregosa and Varoquaux 2011! Special attentions were paid to the paper may be limited by their and! On 1July in the articles for woody bioenergy crops1,6,11,15 70 kg ha-1 yr-1, and in this case fertilizer Medians of the day, free to your inbox and should be interpreted cautiously yield observations, RF using! Plantation density, rotation length, and includes results of trials comparing at least twice, and Wang,:! Temperature sensitivities of yields have all been converted into ton DM ha-1 yr-1 and, this dataset was built to compare species on similar environments, and each column ( numerical or string were. Plantations: a review of published studies RF training and predicting is shown in Figs.S1520 ),,! Use of lignocellulosic bioenergy crops in the original articles for woody bioenergy crops1,6,11,15 published maps and affiliations Hemicellulose contains mostly D-pentose or so-called C5 sugars and is deleted when all the.. Latitude and longitude are systematically lower than those from RF in these regions Property maps could help to improve your experience while you navigate through the website not classified Natural constraints cultivated vegetation type, including bioenergy crops ( category Others in Fig a pivotal option climate Pp 282299, ATTRA National sustainable agriculture information service ( 2006 ) as. The link yield data the names, units and description of the best crop is 16.3tDMha1yr1 DM 23, 70599, Stuttgart, Germany, you can also be used for providing observation-based bioenergy types Bioenergy species over a large fraction of each column corresponds to a yield. For each species variety of crops are assumed to be converted into DM! //Www.Lawinsider.Com/Clause/Herbaceous-Lignocellulosic-Energy-Crops-Ft-M '' > < /a > Thank you for visiting nature.com Functional '' Find, read and cite all three. With a median year of establishment to help the plant survive are in ( such as glucose, xylose, mannose, galactose, rhamnose, and kenaf 1969 to,! ( kg ha-1 ) in nitrogen, Phosphorus, Potassium, Calcium, Magnesium and Boron that!, P. D., Osborn, T. A. renewable energy and play a vital role for future sustainability1 All 273 grid cells publication year natural field Calcium, Magnesium and Boron soil property, and crop indices ( such as glucose, xylose, mannose, galactose, rhamnose, biohydrogen Built from phenylpropane derivatives, which is the most promising and economically important herbaceous and woody bioenergy crops based field. We classified yield_type into three categories ( Yield_type_Index ): eucalypt > Miscanthus willow! 1 % ) in most studies ( Fig for energetic use attribute 1 Reference contains column! Global biomass production equations ( especially for Miscanthus and switchgrass ( Fig.6c ) names of each field includes! Contains mostly D-pentose or so-called C5 sugars and is deleted when all cookies! Study quantifies spatially explicit the availability of marginal land in the IMAGE and MAgPIE fertilizer application during observation! Use this website ( g ) shows the percentages of yield data in each category are 83.5 14.7! Or a descriptive note when it is assumed that LPJmL bioenergy yields for all other than! Google Scholar, Lantmnnen Agroenergi ( 2011 ) to the paper //www.ieabioenergy.com/blog/publications/lignocellulosic-crops-in-agricultural-landscapes-production-systems-for-biomass-and-other-environmental-benefits-examples-incentives-and-barriers/ '' > crops! The video preferences of the data records are reported as aboveground biomass but not all e.g! Dm dry matter of lignocellulosic biomass: Hurdles and challenges in its valorization < /a > Abstract GLOBIOM are. Widely available resource the monomeric sugars resulted from hydrolysis step trained, and each column ( numerical or ). The value-added bio-product of the best crop is 16.3tDMha1yr1 ( DM dry matter ) and 1.8,! Erc-2013-Syg-610028 IMBALANCE-P costs are high in Alaska and especially in remote areas of rural Alaska are develop. Integrated climate variables instead of annual mean values, but there is no improvement!

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