Global Sustainable Bioenergy Initiative: geospatial & environmental analysis of pastureland intensification for bioenergy

• Grant number: 14/26767-9
• Support Opportunities: Research Projects - SPEC Program
• Start date: May 01, 2015
• End date: April 30, 2022
• Field of knowledge: Interdisciplinary Subjects
• Principal Investigator: John Joseph Sheehan
• Grantee: John Joseph Sheehan
• Visiting researcher institution: University of Minnesota (U of M), United States
• Host Institution: Faculdade de Engenharia Agrícola (FEAGRI). Universidade Estadual de Campinas (UNICAMP). Campinas , SP, Brazil
• Pesquisadores principais: Marcelo Valadares Galdos ; Rubens Augusto Camargo Lamparelli
• Associated researchers: David Shaner Lebauer ; Deepak Jaiswal ; Edemar Moro ; Eleanor Elizabeth Campbell ; Gleyce Kelly Dantas Araújo Figueiredo ; Jansle Vieira Rocha ; Lee Howard Lynd ; Michelle Cristina Araujo Picoli ; Rubens Augusto Camargo Lamparelli ; Stephen Patrick Long
• Associated research grant(s): 17/25023-4 - Daycent modeling of soil carbon and greenhouse gas emissions with pasture intensification and sugarcane production: geospatial & environmental analysis of pastureland intensification for bioenergy task II, AV.EXT; 16/20307-1 - Daycent modeling and comparisons with DNDC modeling approaches for GSB initiative: geospatial & environmental analysis of pastureland intensification for bioenergy Task II, AV.EXT; 15/19437-5 - Introducing interdisciplinary research on the human and environmental dynamics of biofuel production, climate change and related topics, AV.EXT
• Associated scholarship(s): 18/11052-5 - Development and preliminary application of a multi-crop global energy crop yield model on pastureland, BP.PD; 18/13295-2 - Application of different filters for smoothing and noise removal of satellite images time series, BP.IC; 18/10432-9 - N2O emission in livestock production: a meta-analysis study, BP.IC; + associated scholarships 18/10770-1 - Forage production estimation in intensified pasture, BP.IC; 17/08970-0 - Pasture potential and subsequent production of energy crops, BP.PD; 17/06037-4 - Global Sustainable Bioenergy initiative: geospatial and environmental analysis of pastureland intensification for bioenergy, BP.PD; 16/08742-4 - Post Doc on agave growth model, at the initiative "a global sustainable bioenergy (GSB)": environmental and spatial analysis of pastureland intensification for bioenergy, BP.PD; 16/08741-8 - Post Doc on pasture systems: potential for intensification around the globe, BP.PD - associated scholarships

Abstract

A research project is proposed focused on global-scale geospatial analysis relevant to bioenergy. This 3-year thematic project, conceived as a contribution to the Global Sustainable Bioenergy initiative, is structured into three tasks with objectives corresponding to targeted papers with tentative titles as follows: Task I. Potential for Pasture Intensification Subsequent Energy Crop Production. I.1. Ground truth analysis of pasture performance gap estimation using climate binning. I.2 The impact of soil, seasonal variability of precipitation, and climate change on pasture performance gap estimation using climate binning. 1.3. Development of a global yield model for agave. 1.4.Development and preliminary application of a multi-crop global energy crop yield model on pasture land. Task II. Sustainability of Pasture Intensification and Subsequent Energy Crop Production. II.1. Development of global scale biogeochemical model for pasture systems. II.2. Modeling of scenarios for intensified pastureland. Task III. Geospatial Analysis, Remote Sensing and Modeling. III.1. Geospatial analysis of pasture-based livestock productivity increases in Brazil. III.2. Mixed crop-livestock detection/mapping using remote sensing. Work will be led by Dr. John Sheehan and carried out by an international team. A detailed project management plan is presented, including a timeline and staffing plan. In addition to six senior scholars, the research team will include 4 post docs, 4 graduate students, and 4 undergraduate students. Task I builds on an in-review paper reporting the first geospatially explicit analysis estimating the intensification potential of global pastureland, appended to the proposal, led by Dr. Sheehan with authors including several project team members. Task I is further supported by the expertise of the Steve Long group at the University of Illinois in modeling energy crop yields and their response to climate change. Findings on the intensification and energy crop potential of pastureland from Task I will be used directly in Task II, which builds on the expertise of Task leader Dr. Marcelo Galdos (CTBE) and the group led by Keith Paustian at Colorado State University on ecosystem modeling of agriculture. Task 3 takes advantage of the particular attributes of Brazil's well-developed, pasture-dominated livestock system and associated data, and builds on the expertise in remote sensing and mixed crop-livestock systems in the group at the University of Campinas led by Task leader Jansle Rocha. Analyses under Tasks I and III offer opportunities for validation across the tasks. In addition, Task III will lay the groundwork for new techniques critical to identifying the performance and location of mixed crop-livestock systems, which represent a large fraction of global livestock production. Successful completion of the project will meaningfully extend intellectual frontiers in the domains of geospatial analysis of pasture land, potential pasture land productivity, bioenergy crop modeling, and opportunities to increase productivity through integration, improved land management and intensification, and the sustainability of these strategies The results will substantially advance understanding of the potential of bioenergy, establish a new team positioned to undertake further impactful analysis, and contribute to Brazilian human resource development. (AU)

Scientific publications

(9)

(References retrieved automatically from Web of Science and SciELO through information on FAPESP grants and their corresponding numbers as mentioned in the publications by the authors)

CANTARELLA, HEITOR; OTTO, RAFAEL; SOARES, JOHNNY RODRIGUES; DE BRITO SILVA, AIJANIO GOMES. Agronomic efficiency of NBPT as a urease inhibitor: A review. JOURNAL OF ADVANCED RESEARCH, v. 13, n. SI, p. 19-27, SEP 2018. (14/05591-0, 15/50305-8, 16/08741-8, 13/50365-5, 14/26767-9)

FIELD, JOHN L.; RICHARD, TOM L.; SMITHWICK, ERICA A. H.; CAI, HAO; LASER, MARK S.; LEBAUER, DAVID S.; LONG, STEPHEN P.; PAUSTIAN, KEITH; QIN, ZHANGCAI; SHEEHAN, JOHN J.; et al. Robust paths to net greenhouse gas mitigation and negative emissions via advanced biofuels. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, v. 117, n. 36, p. 21968-21977, SEP 8 2020. (14/26767-9)

FIGUEIREDO, GLEYCE K. D. A.; SANTOS, ROBERTO B.; OLIVEIRA, JULIANNE C.; LAMPARELLI, RUBENS A. C.; NEALE, CMU; MALTESE, A. Analysis of land surface temperature on pastureland areas with different management using Landsat 8. REMOTE SENSING FOR AGRICULTURE, ECOSYSTEMS, AND HYDROLOGY XXI, v. 11149, p. 7-pg., 2019-01-01. (14/26767-9)

CANTARELLA, HEITOR; OTTO, RAFAEL; SOARES, JOHNNY RODRIGUES; DE BRITO SILVA, AIJANIO GOMES. Agronomic efficiency of NBPT as a urease inhibitor: A review. JOURNAL OF ADVANCED RESEARCH, v. 13, p. 9-pg., 2018-09-01. (14/26767-9, 15/50305-8, 14/05591-0, 13/50365-5, 16/08741-8)

OLIVEIRA, JULIANNE; CAMPBELL, ELEANOR E.; LAMPARELLI, RUBENS A. C.; FIGUEIREDO, GLEYCE K. D. A.; SOARES, JOHNNY R.; JAISWAL, DEEPAK; MONTEIRO, LEONARDO A.; VIANNA, MURILO S.; LYND, LEE R.; SHEEHAN, JOHN J.. Choosing pasture maps: An assessment of pasture land classification definitions and a case study of Brazil. International Journal of Applied Earth Observation and Geoinformation, v. 93, DEC 2020. (17/08970-0, 17/06037-4, 14/26767-9, 18/11052-5, 16/08741-8)

SOARES, JOHNNY R.; SOUZA, BRUNA R.; MAZZETTO, ANDRE M.; GALDOS, MARCELO V.; CHADWICK, DAVE R.; CAMPBELL, ELEANOR E.; JAISWAL, DEEPAK; OLIVEIRA, JULIANNE C.; MONTEIRO, LEONARDO A.; VIANNA, MURILO S.; et al. Mitigation of nitrous oxide emissions in grazing systems through nitrification inhibitors: a meta-analysis. NUTRIENT CYCLING IN AGROECOSYSTEMS, v. N/A, p. 19-pg., 2023-01-28. (17/08970-0, 19/15819-1, 16/08741-8, 19/14333-8, 18/11052-5, 14/26767-9, 17/06037-4, 16/08742-4, 18/10432-9)

MONTEIRO, LEONARDO A.; RAMOS, RAFAEL M.; BATTISTI, RAFAEL; SOARES, JOHNNY R.; OLIVEIRA, JULIANNE C.; FIGUEIREDO, GLEYCE K. D. A.; LAMPARELLI, RUBENS A. C.; NENDEL, CLAAS; LANA, MARCOS ALBERTO. Potential Use of Data-Driven Models to Estimate and Predict Soybean Yields at National Scale in Brazil. INTERNATIONAL JOURNAL OF PLANT PRODUCTION, v. 16, n. 4, p. 13-pg., 2022-09-07. (14/26767-9, 17/08970-0)

GONZAGA, LEANDRO CAROLINO; NUNES CARVALHO, JOAO LUIS; DE OLIVEIRA, BRUNA GONSALVES; SOARES, JOHNNY RODRIGUES; CANTARELLA, HEITOR. Crop residue removal and nitrification inhibitor application as strategies to mitigate N2O emissions in sugarcane fields. BIOMASS & BIOENERGY, v. 119, p. 206-216, DEC 2018. (17/02299-4, 14/26767-9)

MONTEIRO, LEONARDO A.; ALLEE, ANDREW M.; CAMPBELL, ELEANOR E.; LYND, LEE R.; SOARES, JOHNNY R.; JAISWAL, DEEPAK; DE CASTRO OLIVEIRA, JULIANNE; DOS SANTOS VIANNA, MURILO; MORISHIGE, ASHLEY E.; FIGUEIREDO, GLEYCE K. D. A.; et al. Assessment of yield gaps on global grazed-only permanent pasture using climate binning. GLOBAL CHANGE BIOLOGY, v. 26, n. 3, JAN 2020. (17/08970-0, 16/08742-4, 16/20307-1, 18/11052-5, 17/25023-4, 17/06037-4, 16/08741-8, 14/26767-9)