Geospatial analysis for utilizing the marginal land in regional biofuel industry: A case study in Guangdong Province, China

Wang, Fang; Shi, Xun

doi:10.1016/j.biombioe.2015.10.005

Cited by 14 publications

(14 citation statements)

References 23 publications

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“…Other data sources correspond to dedicated location information providers such as the Environmental Systems Research Institute (ESRI 1 ), Openstreetmap 2 , and Google [11], [12], [17], [24], [44], [45], [47]- [50], [52], [54], [55], [60], [64], [76], [78], [80]- [85], [87]- [93], [95]- [97], [107], [108], [111]- [114], [117], [118], [121], [126], [127], [129], [132], [137], [138], [143], [147], [149]- [154], [156], [157], [159], [168], [169], [171], [175]- [184], [192], [197], [199]...…”

Section: Data Component Findingsmentioning

confidence: 99%

Location Data Analytics in the Business Value Chain: A Systematic Literature Review

2020

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Section: Data Component Findingsmentioning

confidence: 99%

Location Data Analytics in the Business Value Chain: A Systematic Literature Review

2020

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“…To map the spatial distribution of potential biomass production, an increasing number of studies have applied some Geographic Information System (GIS)‐based models to quantify and locate marginal land for energy crops in China. Some studies have focused on a specific region with one or more types of energy crops on marginal lands (He, ; Liu, Yan, Li, & Sang, ; Tian, Guo, & Liu, ; Tian et al, ; Wang & Shi, ; Wang, Su, Wang, & Li, ; Wu, Huang, & Deng, ; Yan, Zhang, Wang, & Hu, ; Yuan et al, ). Other studies have evaluated the potential of energy crops on marginal land on a national scale, while only one typical energy crop was considered.…”

Section: Introductionmentioning

confidence: 99%

Modeled spatial assessment of biomass productivity and technical potential ofMiscanthus × giganteus,Panicum virgatumL., andJatrophaon marginal land in China

et al. 2020

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This article identifies marginal land technically available for the production of energy crops in China, compares three models of yield prediction for Miscanthus × giganteus, Panicum virgatum L. (switchgrass), and Jatropha, and estimates their spatially specific yields and technical potential for 2017. Geographic Information System (GIS) analysis of land use maps estimated that 185 Mha of marginal land was technically available for energy crops in China without using areas currently used for food production. Modeled yields were projected for Miscanthus × giganteus, a GIS-based Environmental Policy Integrated Climate model for switchgrass and Global Agro-Ecological Zone model for Jatropha. GIS analysis and MiscanFor estimated more than 120 Mha marginal land was technically available for Miscanthus with a total potential of 1,761 dry weight metric million tonne (DW Mt)/year. A total of 284 DW Mt/year of switchgrass could be obtained from 30 Mha marginal land, with an average yield of 9.5 DW t ha −1 year −1 . More than 35 Mha marginal land was technically available for Jatropha, delivering 9.7 Mt/year of Jatropha seed. The total technical potential from available marginal land was calculated as 31.7 EJ/year for Miscanthus, 5.1 EJ/year for switchgrass, and 0.13 EJ/year for Jatropha. A total technical bioenergy potential of 34.4 EJ/year was calculated by identifying best suited crop for each 1 km 2 grid cell based on the highest energy value among the three crops. The results indicate that the technical potential per hectare of Jatropha is unable to compete with that of the other two crops in each grid cell. This modeling study provides planners with spatial overviews that demonstrate the potential of these crops and where biomass production could be potentially distributed in China which needs field trials to test model assumptions and build experience necessary to translate into practicality. K E Y W O R D S biomass, energy crop, Jatropha, marginal land, Miscanthus × giganteus, switchgrass, technical potential, yield modeling | 329 ZHANG et Al. SUPPORTING INFORMATIONAdditional supporting information may be found online in the Supporting Information section.How to cite this article: Zhang B, Hastings A, Clifton-Brown JC, Jiang D, Faaij APC. Modeled spatial assessment of biomass productivity and technical potential of Miscanthus × giganteus, Panicum virgatum L., and Jatropha on marginal land in China. GCB Bioenergy.

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“…) or basic site suitability at high resolution (Reisner et al. , Wang and Shi ). In addition, most previous studies assume a fixed discount rate (i.e., the time value of money), which limits generalization of results.…”

Section: Introductionmentioning

confidence: 99%

“…Merging high-resolution site suitability and profitability analyses enable us to move beyond previous studies of coarse-scale profitability (Yemshanov et al 2007, Frey et al 2010 or basic site suitability at high resolution (Reisner et al 2007, Wang andShi 2015). In addition, most previous studies assume a fixed discount rate (i.e., the time value of money), which limits generalization of results.…”

Section: Introductionmentioning

confidence: 99%

Black walnut alley cropping is economically competitive with row crops in the MidwestUSA

Wolz

DeLucia

2018

Ecological Applications

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The maize–soybean rotation (MSR) dominates the Midwest United States and degrades many ecological functions. Black walnut (Juglans nigra L.) plantation forestry (PF) and alley cropping (AC) are two alternative land‐uses that can enhance productivity and restore ecosystem services. Given the lack of robust market mechanisms to monetize ecosystems services, we tested whether the profitability of PF and AC could drive adoption in the Midwest. Publically available data on black walnut soil suitability, timber prices, crop productivity, and cash rents were combined in a high‐resolution spatial analysis to identify regions where these alternatives can outcompete MSR. To avoid selecting an arbitrary discount rate at which to make comparisons, we determined the threshold discount rate necessary to make PF or AC economically competitive with MSR. We show that, with a 5% discount rate, PF and AC could be more profitable on 17.0% and 23.4% of MSR land, respectively. Contrary to the common assumption that woody agricultural alternatives should first be adopted in marginal row crop areas, the economic competitiveness of PF and AC was not correlated with MSR productivity. Instead, black walnut growth rate was the central driver of PF and AC competitiveness, underscoring a necessary shift away from the current MSR‐centric perspective in defining target regions for land‐use alternatives. Results reveal major opportunities for landowners and investors to increase profitability by investing in PF and AC on both “marginal” and productive MSR land.

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Geospatial analysis for utilizing the marginal land in regional biofuel industry: A case study in Guangdong Province, China

Cited by 14 publications

References 23 publications

Location Data Analytics in the Business Value Chain: A Systematic Literature Review

Location Data Analytics in the Business Value Chain: A Systematic Literature Review

Modeled spatial assessment of biomass productivity and technical potential ofMiscanthus × giganteus,Panicum virgatumL., andJatrophaon marginal land in China

Black walnut alley cropping is economically competitive with row crops in the MidwestUSA

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