Skip to main content
Scientific Reports logoLink to Scientific Reports
. 2021 Feb 25;11:4571. doi: 10.1038/s41598-021-84120-0

Environmental impact of the cultivation of energy willow in Poland

Zbigniew Kowalczyk 1,, Dariusz Kwaśniewski 1
PMCID: PMC7907244  PMID: 33633322

Abstract

The purpose of the work is to analyze the structure of the environmental impact of energy willow cultivation (Salix spp.) on plantations of various sizes, divided per materials and processes. The research covered 15 willow plantations, ranging from 0.31 ha to 12 ha, located in southern Poland. It was found, among others, that the so-called processes, i.e. the use of technical means of production, dominate the structure of the environmental impact (EI) related to the cultivation of energy willow, and that the cultivation of energy willow on larger plantations has a much lower environmental impact compared to cultivation on smaller plantations. Also, in the case of the environmental impact of processes, the largest environmental impact was recorded in the human health category, which is mainly associated with the consumption of fuel, i.e. diesel. It was determined, e.g., that the cultivation of energetic willow on larger plantations is characterized by a much lower environmental impact (as per the cultivation area), at approx. 108 Pt, compared to the cultivation on smaller plantations, where the value of the environmental impact is 168 Pt. A decisively dominant position in the structure of the environmental impact (EI), related to the cultivation of energy willow, is held by the so-called processes, i.e. the use of technical means of production. Their share in the total environmental impact decreases from 148.5 Pt in the group of the smallest plantations to 77.9 Pt in the group of the largest plantations.

Subject terms: Ecology, Environmental sciences

Introduction

Growing concerns about climate change, geopolitical uncertainty associated with continuous energy supply, and increasing costs of fossil fuels motivate the search for clean and renewable conventional fuel substitutes13. One alternative to fossil fuels is the so-called bioenergy, the interest in which has increased significantly in recent years4. Bioenergy can be obtained from biomass used for the production of fuels, which in turn can be processed to obtain power, heat, and transport fuels5,6. As a source of renewable energy, biomass has enjoyed great interest for some time, also due to the postulates of the so-called sustainable energy management and the reduction of greenhouse gas emissions. The European Union has adopted several goals for the year 2020, e.g.: 20% reduction in greenhouse gas emissions, a 20% increase in energy efficiency, and reaching a 20% share of renewable energy in total energy produced7. Biomass for bioproducts and bioenergy can be obtained from forests, arable crops, various waste, and dedicated wood or herbaceous crops8,9. Work is currently underway on short rotation woody crops (SRWC) to provide a renewable raw material for bioenergy production10. SRWC, such as willow (Salix spp.), and poplar, are an important source of renewable energy and can be converted into electric power and/or heat using conventional or modern biomass processing technologies11.

SRWC is a fast-growing, high-yield energy plant that can not only be burned but also gasified to generate heat and energy11,12. There are about 450 varieties of willow globally13. This perennial energy plant is known for its high biomass yield in a short time and a broad genetic pool14. Moreover, willow shrubs are characterized by easy vegetative reproduction from dormant hardwood cuttings, easy cultivation, and the ability to regenerate after many harvests15,16. Its advantage is also that willow can be grown on arable land17.

According to Heller18, the production of biomass from willow plants requires the use of 0.018 MJ of non-renewable energy to produce 1 MJ of renewable energy in the form of wood fuel. In turn, the production of power from dedicated energy willow crops, 0.092 MJ of non-renewable energy is consumed per 1 MJ of generated power18. Many species of willow are a promising source of woody biomass, which can be very beneficial for the development of rural areas, apart from the environmental aspects19,20. Compared to annual cultivation systems, perennials, including willow are less susceptible to adverse weather conditions or epidemics of pests and diseases when it comes to crop yields21,22. The transformation of land into perennial bioenergy crops promotes the increase of some types of habitats of wild fauna and flora and reduces GHG emissions, depending on the nature and location of the plantation20,23. Moreover, it can contribute to soil organic carbon storage24 and in the short term, alleviate the effects of high CO2 concentrations25. Perennial willow plantations can effectively absorb groundwater and soil pollution and be used in land reclamation26. Agricultural biomass may be of interest for the purposes of energy production, especially in rural areas where end-users are in the vicinity of biomass farms. This would avoid problems with the transport of biomass, which generally has a low bulk density and low energy value in the unconcentrated state27. However, many researchers point out that, unfortunately, large-scale conversion of land to bioenergy production may have serious ecological effects2831 because it affects wildlife habitats32 and competes for arable land with food crops33. The use of agricultural land for the production of raw material energy crops can have an indirect negative environmental effect. This is due to a significant intensification or expansion of agricultural production elsewhere to compensate for the lost food production34. Land conversion can also disrupt ecosystem cycles such as the hydrolog35, soil storage of organic carbon3640, and nutritional cycles41,42. Potentially, changes in land use can also increase GHG emissions4345. Due to some unfavorable aspects of the use of biomass, opinions are also voiced that the production of energy crops should be minimized and the focus should be on the available, yet unused biomass resources46. After all, the use of biomass as an energy source can cause emissions that are harmful to human health and the environment, both on a local and global scale47.

In recent years, the life cycle assessment (LCA), which is increasingly used to assess the potential environmental impact of production systems4850, including the assessment of the environmental impact of energy crops, has enjoyed considerable interest22,5153. In LCA, the potential environmental impacts associated with the product/service life cycle are assessed based on the life cycle inventory (LCI), which includes the relevant input and output data, as well as emissions included in the system associated with the product/service54. LCA goals can include (1) comparison of alternative products, processes, or services; (2) comparison of alternative life cycles for a specific product or service; (3) identifying parts of the life cycle in which major improvements can be made1. Taking into account the entire life cycle, the life cycle assessment (LCA) reduces the risk of transferring problems from one production phase to another55 and is based on ISO 14,040 and ISO 14,044 standards. Unfortunately, the knowledge of the life cycle of energy willow biomass production is still limited10,56. Literature resources offer studies on the use of the LCA methodology in renewable energy production, but in the case of energy willow, unfortunately, the amount of the studies is relatively small. In many cases, the available research results were published many years ago, which depreciates them due to technological progress. Moreover, there are very few up-to-date results regarding the environmental impact of the very process of willow cultivation, and the published research results very often relate to the processes of converting willow biomass into various forms of energy (power, liquid fuels, heat). Moreover, the methodology used in individual studies of various authors is very different in terms of system boundaries and methods used, which means that they are not always comparable.

Comparing the positive and negative aspects of biomass utilization, there is a need for a comprehensive assessment of the impact of both the technologies related to the energy willow biomass production cycle and those related to processing technology as an energy source.

The purpose of the work was to analyze the structure of the environmental impact of the cultivation of energy willow on plantations of various sizes, divided per production materials and processes (Table 1).

Table 1.

Abbreviations/nomenclatures.

CFC-11 Chlorofluorocarbon-11
1,4-DB 1,4 dichlorobenzene
NMVOC Non-methane volatile organic compounds
PM10 Particulate matter formation
kBq U235 Equivalent uranium radiation measured in kilo Becquerel
EI Environmental impact
Pt One thousandth of the yearly environmental load of one average European inhabitant

Materials and methods

Research subject

The amounts of materials and energy included in each process have been calculated based on research carried out on energy willow farms. The research consisted of a detailed analysis of technologies related to willow cultivation. The research covered15 energy willow plantations located in southern Poland. The selection of willow plantations was deliberate, i.e. five plantations with a relatively small area (0.48 ha on average) were selected as Group I, five larger, with an average area of 2.08 ha, were included in Group II and five largest (average area—8.06 ha)—in Group III.

General information on energy willow plantations selected for testing is presented in Table 2. The yield of fresh biomass cut after the first year of cultivation ranged from 6.8 t·ha-1 (in Group I) to 9.4 t·ha-1 (in Group II). Energy willow plantations were located relatively close to the farm (from 0.6 km to 1.4 km on average), which impacted the scope of transportation works.

Table 2.

General information regarding the plantations included in the study57.

Area group Area min–max (average) (ha) Number of plantations Biomass yield (t·ha−1) Distance min–max (average) (km)
I 0.31–1.00 (0.48) 5 5.9–7.2 (6.8) 0.6–1.6 (1.2)
II 1.20–4.00 (2.08) 5 8.1–10.2 (9.4) 0.9–1.7 (1.4)
III 5.19–12.00 (8.06) 5 7.2–8.7 (7.8) 0.4–1.1 (0.8)

Upon analyzing Fig. 1, it can be observed that willow plantations were located in areas with rather low soil quality. In Group I, 66% of the total plantation area was located on soils of the 4th and 5th class, and in Group III, up to 95%.

Figure 1.

Figure 1

The structure of soil quality (bonitation) in particular area groups.

System boundaries

The system boundaries are shown in Fig. 2. The analysis covered only activities related to the establishment of the plantation, its cultivation for one year, as well as the collection and transport of cut biomass. The willow seedlings used were not included in the analysis, due to the lack of such an item in the catalogs of SimaPro software. Post-harvest operations related to the harvested biomass were also omitted. The analysis also excluded the transport of fuels, fertilizers, and pesticides from purchase points to the farm.

Figure 2.

Figure 2

System boundaries.

Impact assessment methodology

To assess the environmental impact of the cultivation of energy willow, the Life Cycle Assessment (LCA) method was used to determine the environmental relationships of all entrances and exits within the scope of the study, and to estimate the magnitude of their impact on the environment. The LCA method was applied using the SimaPro software, version 8.1.0.60. The detailed environmental impact assessment methods, ReCiPe Endpoint (H) V1.12/Europe ReCiPe H/A and ReCiPe Midpoint (H) V1.12/Europe Recipe H were used in the detailed calculations. The midpoint impact categories, the related indicators, and the key references were presented in Table 3. Endpoint indicators determine the environmental impact at three levels of aggregation, namely: (1) effect on human health (2) biodiversity, ecosystem and (3) resource scarcity. Environmental impact (EI) was calculated in the so-called units of general nuisance (Pt), used quite commonly in the LCA methodology, and related to one ton of fresh biomass yield and the cultivation area. The environmental impact of the use of production materials (materials) and the environmental impact of the use of technical means of production (processes) was estimated separately. The applied LCA methodology is based on the ISO 14,040 standard. The toxicity potential (TP), expressed in kg 1,4-dichlorobenzeneequivalents (1,4DCB-eq), is used as a characterization factor at the midpoint level for human toxicity, freshwater aquatic ecotoxicity, marine ecotoxicity and terrestrial ecotoxicity73.

Table 3.

Overview of the midpoint impact categories and related indicators58.

Midpoint impact category Indicator CFm Unit Key references
Climate change Infrared radiative forcing increase Global warming potential (GWP) kg C02-eq to air

IPCC59

Joos et al.60

Ozone depletion Stratospheric ozone decrease Ozone depletion potential (ODP) kg CFC-11-eq to air WMO 201161
Ionising radiation Absorbed dose increase Ionising radiation potential (IRP) kBq Co-60-eq to air Frischknecht et al.62
Fine particulate matter formation PM2.5 population intake increase Particulate matter formation potential (PMFP) kg PM2.5-eq to air Van Zelm et al.63
Photochemical oxidant formation: terrestrial ecosystems Tropospheric ozone increase Photochemical oxidant formation potential: ecosystems (EOFP) kg NOx-eq to air Van Zelm et al.63
Photochemical oxidant formation: human health Tropospheric ozone population intake increase Photochemical oxidant formation potential: humans (HOFP) kg NOx-eq to air Van Zelm et al.63
Terrestrial acidification Proton increase in natural soils Terrestrial acidification potential (TAP) kg S02-eq to air Roy et al.64
Freshwater eutrophication Phosphorus increase in freshwater Freshwater eutrophication potential (FEP) kg P-eq to freshwater Helmes et al.65
Human toxicity: cancer Risk increase of cancer disease incidence Human toxicity potential (HTPc) kg 1,4-DCB-eq to urban air Van Zelm et al.66
Human toxicity: non-cancer Risk increase of non-cancer disease incidence Human toxicity potential (HTPnc) kg 1,4-DCB-eq to urban air Van Zelm et al.66
Terrestrial ecotoxicity Hazard-weighted increase in natural soils Terrestrial ecotoxicity potential (TETP) kg 1,4-DCB-eq to industrial soil Van Zelm et al.66
Freshwater ecotoxicity Hazard-weighted increase in freshwaters Freshwater ecotoxicity potential (FETP) kg 1,4-DCB-eq to freshwater Van Zelm et al.66
Marine ecotoxicity Hazard-weighted increase in marine water Marine ecotoxicity potential (METP) kg 1,4-DCB-eq to marine water Van Zelm et al.66
Land use Occupation and time-integrated land transf Agricultural land occupation potential (LOP) m2 × year annual cropland-eq

De Baan et al.67

Curran et al.68

Water use Increase of water consumed Water consumption potential (WCP) m3 water-eq consumed

Doll and Siebert69

Hoekstra and Mekonnen70

Mineral resource scarcity Increase of ore extracted Surplus ore potential (SOP) kg Cu-eq Vieira et al.71
Fossil resource scarcity Upper heating value Fossil fuel potential (FFP) kg oil-eq Jungbluth and Frischknecht72

Life cycle inventory (LCI)

Table 4 summarizes the means of production used in willow cultivation technologies for each of the groups. The amounts of the so-called pure fertilizer component expressed as N, P2O5, and K2, prove that mineral fertilizers were relatively rarely used and only in selected plantations of Groups II and III. In turn, the largest consumption of pesticides (3.42 kg·ha-1 on average) was recorded in the group of the smallest plantations. The used pesticide was mainly the herbicide Roundup, applied before planting to destroy weeds. The willow plantations were not artificially irrigated, and the water consumption presented in Table 4 was only associated with performing chemical plant protection treatments.

Table 4.

Selected means of production used in the cultivation of energy willow in individual groups57.

Specification Group I Group II Group III
(kg·ha−1) (kg·t−1) (kg·ha−1) (kg·t−1) (kg·ha−1) (kg·t−1)
Mineral fertilizers
 N 0.00 0.00 2.77 0.29 0.79 0.10
 P2O5 0.00 0.00 8.32 0.89 2.38 0.31
 K2O 0.00 0.00 8.32 0.89 2.38 0.31
Pesticides 3.42 0.50 3.23 0.34 1.36 0.17
Diesel 116.34 20.37 122.30 13.01 113.31 14.53
Water 197.27 29.60 194.43 20.68 113.39 14.54

Results and discussion

Energy willow cultivation technologies were quite similar in all area groups. Preparation of the soil consisted of mechanical working, i.e. plowing, cultivating, and harrowing. Sometimes disking or tilling was also performed. The planting of the willow was done manually. Weeding was performed manually, or with tractor hoers. During the harvest, slat mowers were used only sporadically to cut willow, in the group of the larger plantations, while most often the harvesting was done manually, using pruning shears. The means of transport were used only partially during the harvesting as the harvested biomass was immediately loaded on trailers. The use of forestry harvesters could solve the problem to some degree as they could be relatively easily adjusted to biomass harvesting74. Transport of cut biomass and means of production, e.g. fertilizers or seedlings, was carried out using agricultural tractors and trailers. The low level of mechanization of the works resulted mainly from small areas of willow plantations, which is confirmed by research by Kwaśniewski75. He reports that in southern Poland the willow plantations are usually of small acreage, and scattered from each other, which is a certain economic barrier to the use of mechanized technologies.

Table 5 presents the results of the ReCiPe Midpoint analysis in individual area groups. Generally, it can be stated that as the area increased, the unit impact of processes decreased in all the analyzed categories. In the case of materials, in 13 out of 18 categories, an increase in the characterization factors was observed as the plantation area increased.

Table 5.

Characterization factors of the ReCiPe Midpoint environmental analysis in area groups.

Midpoint indicators Unit Group I Group II Group III
Material Processes Material Processes Material Processes
Climate change kg CO2-eq 86.089 1344.508 141.465 1257.954 189.086 739.108
Ozone depletion kg CFC-11-eq 0.00007 0.00023 0.00007 0.00021 0.00008 0.00012
Terrestrial acidification kg SO2-eq 0.650 8.125 1.189 7.627 1.369 4.604
Freshwater eutrophication kg P-eq 0.044 0.111 0.077 0.104 0.076 0.071
Marine eutrophication kg N-eq 0.545 0.684 0.038 0.430 0.044 0.259
Human toxicity kg 1,4-DB-eq 22.719 214.968 63.518 201.119 75.311 125.964
Photochemical oxidant formation kg NMVOC 0.612 14.638 0.646 11.832 0.775 7.091
Particulate matter formation kg PM10-eq 0.217 3.770 0.415 3.521 0.463 2.197
Terrestrial ecotoxicity kg 1,4-DB-eq 0.504 0.486 0.028 0.130 0.027 0.070
Freshwater ecotoxicity kg 1,4-DB-eq 6.539 90.343 2.381 33.798 2.902 17.509
Marine ecotoxicity kg 1,4-DB-eq 0.909 36.541 2.177 30.367 2.684 15.799
Ionising radiation kBq U235-eq 30.664 105.811 35.736 98.075 38.217 57.547
Agricultural land occupation m2 yr 3.493 50.387 5.212 27.673 6.239 25.220
Urban land occupation m2 yr 2.640 37.193 3.562 13.583 4.276 8.809
Natural land transformation m2 0.359 9.585 0.134 0.421 0.147 0.243
Water depletion m3 9.389 30.080 3.813 3.387 2.913 2.094
Metal depletion kg Fe-eq 4.718 116.728 14.016 96.473 18.477 65.976
Fossil depletion kg oil-e 132.107 465.504 143.241 426.961 153.978 248.762

Table 6 shows the results of the ReCiPe Midpoint analysis of the used production materials, as per crop area. Diesel fuel was consumed in all treatments, while mineral fertilizers, pesticides, and water were additionally used during fertilization and chemical protection treatments. Upon analyzing the environmental impact of the materials used, the decisive share of mineral fertilizers can be observed, although they were not heavily used due to the relatively good quality of the soil. Significant environmental impacts are also associated with the cultivation procedures and transportation. Although the only production material used in soil cultivation and transport was diesel fuel, the relatively high unit fuel consumption (in soil cultivation) and the high yield of willow biomass (in transport) result in a significantly high diesel fuel consumption and thus, a significant environmental impact.

Table 6.

Characterization factors of the ReCiPe Midpoint environmental analysis for the used production materials (materials).

Midpoint indicators Unit Total Soil preparat Mineral fertilizat Chemical care Mechan. care Harvest Transport
Climate change kg CO2-eq 138.880 27.291 66.140 24.549 1.941 2.728 16.231
Ozone depletion kg CFC-11-eq 0.000 0.00003 0.00001 0.00001 0.00000 0.00000 0.00002
Terrestrial acidification kg SO2-eq 1.070 0.239 0.500 0.148 0.017 0.024 0.142
Freshwater eutrophication kg P-eq 0.066 0.003 0.036 0.025 0.000 0.000 0.002
Marine eutrophication kg N-eq 7.209 2.600 0.017 2.998 0.289 0.001 1.306
Human toxicity kg 1,4-DB-eq 53.849 4.172 36.695 9.787 0.297 0.417 2.481
Photochemical oxidant format kg NMVOC 0.678 0.195 0.225 0.112 0.015 0.017 0.114
Particulate matter format kg PM10-eq 0.365 0.070 0.185 0.057 0.005 0.007 0.041
Terrestrial ecotoxicity kg 1,4-DB-eq 1.820 0.652 0.011 0.757 0.072 0.000 0.328
Freshwater ecotoxicity kg 1,4-DB-eq 3.941 0.574 1.386 1.602 0.057 0.018 0.305
Marine ecotoxicity kg 1,4-DB-eq 1.923 0.168 1.297 0.333 0.013 0.015 0.098
Ionising radiation kBq U235-eq 34.872 12.608 7.121 5.489 0.897 1.260 7.498
Agricultural land occupation m2 yr 4.981 0.499 2.952 1.173 0.042 0.034 0.282
Urban land occupation m2 yr 3.493 0.417 2.113 0.662 0.034 0.030 0.237
Natural land transformation m2 0.213 0.083 0.012 0.058 0.007 0.006 0.048
Water depletion m3 5.372 1.496 1.501 1.412 0.154 0.030 0.779
Metal depletion kg Fe-eq 12.404 0.914 9.121 1.680 0.068 0.084 0.537
Fossildepletion kg oil-e 143.109 61.418 19.076 15.589 4.370 6.134 36.521

Table 7 shows the results of the ReCiPe Midpoint analysis of the used technical means of production, as per crop area. Among all impact categories, the processes related to the use of transport take by far the dominant position. As already mentioned, this is due to the high yield of energy willow biomass and the applied harvesting technology, which required using means of transport and significantly increased their working time. Murphy7 identifies transport as one of the three key processes in the production chain with the greatest environmental impact of all considered categories. Processes requiring the use of soil cultivation machinery rank second in terms of environmental impact, which results from the significant labor intensity of soil cultivation.

Table 7.

Characterization factors of the ReCiPe Midpoint environmental analysis for the used technical means of production (processes).

Midpoint indicators Unit Total Soil preparat Mineral fertilizat Chemical care Mechan. care Harvest Transport
Climate change kg CO2-eq 1113.857 209.420 4.849 10.275 9.822 5.850 873.641
Ozone depletion kg CFC-11-eq 0.00019 0.00003 0.00000 0.00000 0.00000 0.00000 0.00015
Terrestrial acidification kg SO2-eq 6.785 1.469 0.036 0.070 0.066 0.039 5.106
Freshwater eutrophication kg P-eq 0.095 0.029 0.001 0.003 0.002 0.001 0.059
Marine eutrophication kg N-eq 112.424 17.874 0.002 0.801 0.999 0.002 92.746
Human toxicity kg 1,4-DB-eq 180.684 41.234 1.223 3.697 3.355 1.613 129.561
Photochemical oxidant format kg NMVOC 11.187 2.340 0.055 0.108 0.102 0.056 8.528
Particulate matter format kg PM10-eq 3.163 0.805 0.018 0.034 0.033 0.021 2.252
Terrestrial ecotoxicity kg 1,4-DB-eq 28.162 4.466 0.000 0.201 0.250 0.000 23.245
Freshwater ecotoxicity kg 1,4-DB-eq 47.217 5.364 0.049 0.437 0.498 0.064 40.803
Marine ecotoxicity kg 1,4-DB-eq 27.569 1.927 0.046 0.152 0.161 0.061 25.222
Ionising radiation kBq U235-eq 87.144 16.157 0.383 0.851 0.786 0.463 68.505
Agricultural land occupation m2 yr 34.426 17.567 0.301 1.508 2.384 0.601 12.066
Urban land occupation m2 yr 19.862 4.229 0.059 0.353 0.519 0.114 14.587
Natural land transformation m2 3.416 0.267 0.001 0.016 0.020 0.002 3.110
Water depletion m3 11.854 2.073 0.016 0.115 0.127 0.024 9.499
Metal depletion kg Fe-eq 93.059 30.276 0.573 2.394 2.660 1.076 56.081
Fossil depletion kg oil-e 380.409 68.757 1.608 3.225 3.039 1.847 301.933

Table 8 shows the results of the Midpoint environmental analysis of the fertilizers and pesticides only, as per crop area. Mineral fertilizer use is dominant in this impact category, although it was used less frequently than the pesticides (mainly herbicides, to control weeds). The highest amount of pesticides as per crop area was used in Group I, while the highest amount of fertilizers was used in Group II (Table 4). The use of fertilizers results in a climate change impact of 36,107 kg CO2-eq, while the use of pesticides results in half the amount of kg CO2-eq. According to Keoleian and Volk14, fertilizer use is responsible for 75% of GHG emissions caused by agricultural inputs associated with energy willow cultivation.

Table 8.

Characterization factors of the ReCiPe Midpoint environmental analysis for the used fertilizers and pesticides.

Midpoint indicators Unit Mineral fertilizers Pesticides
Climate change kg CO2-eq 36.107 18.594
Ozone depletion kg CFC-11-eq 0.000003 0.000004
Terrestrial acidification kg SO2-eq 0.249 0.108
Freshwater eutrophication kg P-eq 0.014 0.024
Marine eutrophication kg N-eq 0.009 0.007
Human toxicity kg 1,4-DB-eq 16.527 9.081
Photochemical oxidant format kg NMVOC 0.107 0.065
Particulate matter format kg PM10-eq 0.086 0.042
Terrestrial ecotoxicity kg 1,4-DB-eq 0.005 0.008
Freshwater ecotoxicity kg 1,4-DB-eq 0.628 0.320
Marine ecotoxicity kg 1,4-DB-eq 0.589 0.294
Ionising radiation kBq U235-eq 3.062 3.381
Agricultural land occupation m2 yr 1.296 0.930
Urban land occupation m2 yr 0.809 0.259
Natural land transformation m2 0.006 0.004
Water depletion m3 0.899 0.45917
Metal depletion kg Fe-eq 4.189 1.370
Fossil depletion kg oil-e 9.671 6.039

Table 9 and Fig. 3 present the level of CO2 emissions in area groups calculated per the calorific value of fresh weight of the harvested willow. It can be observed that a decisively higher emission level, approx. 221 kg CO2· GJ-1, occurs in the smallest plantations, and in the group of the largest plantations, it decreases to 121 kg CO2· GJ-1. The decisive share in emissions (from 79 to 95%) belongs to processes.

Table 9.

Structure of CO2 emissions in area groups (kg CO2·GJ−1).

Specification Group I Group II Group III
Soil preparation Material 4.53 2.55 3.43
Processes 31.29 22.15 26.27
Mineral fertilization Material 0.00 7.56 17.48
Processes 0.00 0.57 1.26
Chemical care Material 5.05 2.61 1.73
Processes 1.35 1.36 1.08
Mechanical care Material 0.55 0.14 0.12
Processes 1.85 1.00 0.92
Harvesting Material 0.00 0.00 1.03
Processes 0.00 0.00 2.16
Transport Material 2.33 2.01 1.88
Processes 174.17 112.15 63.75

Figure 3.

Figure 3

Structure of CO2 emissions in area groups.

Energy willow cultivation doesn’t produce large CO2 emissions. Compared with the coal system, the combustion of just biomass pellets to generate 8,300 GWh of power can reduce global warming impacts by 7.9 million tons of CO2-eq, which is equivalent to an 85% reduction in GHG emissions, according to Wiloso et al.76. It should also be remembered that energy crops store CO2 in the soil and roots, which according to Yang and Tilman77 is a more important determinant in the climate change mitigation potential of biofuels than the above-ground biomass. According to Heller et al.78, power production from willow biomass is nearly GHG-neutral (40–50 kg CO2 eq./MWh of electric power produced).

Table 10 presents the environmental impact of the consumption of production materials used in the cultivation of energy willow as per the plantation area. The environmental impact of production materials was considered on three levels, namely: human health, ecosystems, and resources. In the case of chemical plant protection and mechanical weeding, the environmental impact associated with the use of production materials decreased as the group's area increased. This state of affairs results from a lower intensity of pesticide use per hectare of cultivation, which is confirmed by the data presented in Table 4, as well as from less frequent mechanical weeding operations on larger plantations (lower fuel consumption). Both chemical and mechanical procedures were not compensated in any way by the use of other methods of weed control in larger willow cultivation areas, which is reflected in the decrease in the fresh crop yield (Table 2). The environmental impact (EI) of material consumption is also quite unequivocal in the case of mineral fertilization, yet reversed: as the group area increases so does the EI, which is the result of increasing the unit consumption of fertilizers in the second group. In turn, in the group of the largest plantations, the doses of fertilizers per unit area were slightly lower than in Group II (Table 4), but higher power tractors were used for fertilization, which resulted in significantly higher fuel consumption. Plant life cycle research usually indicates fertilization as a treatment that generates the greatest environmental impact79. Other technological procedures are no longer so unequivocal in terms of environmental impact. The environmental impact associated with transportation is the highest in Group II and the lowest in Group III, which correlates with the transport distances shown in Table 1. In turn, the mechanical harvest was used only in the group of the largest plantations, hence the production materials (fuel) affected the environment in this group. Upon analyzing the structure of the environmental impact on three levels, i.e. human health, ecosystems, and resources (Table 10), it can be observed that for all technological procedures, except mineral fertilization, the structure is dominated by resources, which generally exceeds the value of other streams of environmental impact. Only in the case of mineral fertilization, the dominant impact is human health, which results from the properties of mineral fertilizers used. The level of environmental impact in the resources category ranges from 0.00 Pt for mineral fertilization in Group I and harvest in Groups I and II, to 7.54 Pt for soil preparation activities in Group I. The environmental impact level in terms of human health ranges from 0.00 Pt for mineral fertilization (Group I) and harvest (Groups I and II), to 5.94 Pt also for mineral fertilization in Group III. In turn, in the category of ecosystems, the magnitude of the environmental impact ranged between 0.00 Pt (mineral fertilization in Group I) to 2.60 Pt, also for activities related to mineral fertilization, but in Group III (Table 10).

Table 10.

The environmental impact of the consumption of production material, as per plantation area (Pt·ha−1).

Group Category Soil preparation Mineral fertilization Chemical care Mechanical care Harvesting Transport
I Human Health 1.343 0.000 1.609 0.149 0.000 0.674
Ecosystems 0.854 0.000 0.758 0.095 0.000 0.429
Resources 7.545 0.000 2.091 0.838 0.000 3.789
II Human Health 1.062 3.947 1.089 0.056 0.000 0.801
Ecosystems 0.675 1.579 0.527 0.036 0.000 0.509
Resources 5.965 3.449 1.768 0.317 0.000 4.499
III Human Health 1.127 5.941 0.590 0.046 0.353 0.625
Ecosystems 0.717 2.606 0.300 0.029 0.225 0.398
Resources 6.334 3.948 1.319 0.256 1.984 3.514

Table 11 presents the environmental impact of applying technical means of production (processes) in the cultivation technologies of energy willow, as per the plantation area. The environmental impact of machines and devices was considered on three levels: human health, ecosystems, and resources, similar to the case of production materials. In the case of all technological activities except chemical plant protection, the environmental impact of the use of machines and devices in particular groups is shaped quite clearly. As the plantation area increases in groups, it decreases (soil preparation, mechanical treatment, transportation) or increases (mineral fertilization, harvest). In the case of chemical protection, mechanical cultivation, and transport—the environmental impact resulting from processes per hectare of plantation decreases as the area increases. This is primarily due to the number of procedures performed or the transport distance. In their research,Goglioa80 and Kowalczyk57 indicate the great importance of the distance of biomass transport in the aspect of environmental protection. When analyzing technological procedures related to mineral fertilization and harvesting, the lowest environmental impact of EI processes was recorded in the group of plantations with the smallest acreage, and the highest—in Group III. In Group I, no mineral fertilization was used, and the harvest was done manually, hence the lack of an environmental impact of the use of technical means of production. The lesser environmental impact of chemical plant protection in the largest plantation group, as compared to Group II, is due to the lesser number of chemical sprayings. Upon analyzing the structure of the environmental footprint related to processes (the use of machinery and equipment) on the said three levels, i.e. human health, ecosystems, and resources (Table 11), it can be observed that for all technological procedures, the structure is dominated by the human health category, which generally exceeds significantly the value of the other environmental impact streams. The level of the environmental impact of processes in the human health category ranges between 0.00 Pt for mineral fertilization (Group I) and harvest (Groups I and II), to 47.76 Pt for transportation in Group I. The impact level in terms of resources ranges from 0.00 Pt for mineral fertilization (Group I) and harvest (Groups I and II), to 43.93 Pt for transportation in Group I. In turn, the magnitude of environmental impact for the ecosystems category ranged between 0.00 Pt (mineral fertilization category in Group I) and harvest (Groups I and II) to 21.81 Pt for transportation in Group I.

Table 11.

The environmental impact of the utilization of technical means of production (processes) as per plantation area (Pt·ha−1).

Group Category Soil preparation Mineral fertilization Chemical care Mechanical care Harvesting Transport
I Human Health 13.833 0.000 0.631 0.894 0.000 47.763
Ecosystems 6.023 0.000 0.302 0.482 0.000 21.812
Resources 11.444 0.000 0.554 0.784 0.000 43.931
II Human Health 13.599 0.273 0.758 0.477 0.000 43.933
Ecosystems 5.840 0.115 0.363 0.257 0.000 20.063
Resources 11.139 0.224 0.665 0.418 0.000 40.408
III Human Health 10.296 0.455 0.421 0.397 0.654 21.133
Ecosystems 4.441 0.192 0.201 0.214 0.295 9.651
Resources 8.442 0.373 0.369 0.349 0.557 19.437

Table 12 presents the environmental impact of the consumption of production materials used in energy willow cultivation technologies, as per fresh biomass yield. As in the previous tables, the analysis of the environmental impact was carried out in three categories: human health, ecosystem, and resources. The environmental impact of material consumption (per biomass yield) for individual technological procedures is almost identical as it is for the crop area unit (Table 4). Only in the case of transportation works, the environmental impact decreases very slightly along with the increase of plantation area in the group. Similarly to Table 11, the structure of the environmental impact was also determined in the following categories: human health, ecosystems, and resources. Due to a different reference unit (fresh willow biomass yield), the level of environmental impact in the resources category ranges from 0.00 Pt for mineral fertilization in Group I and harvest (Groups I and II), to 1.09 Pt for soil preparation activities in Group I. The magnitude of environmental impact in the category of human health ranges from 0.00 Pt for mineral fertilization (Group I) and harvest (Groups I and II), to 0.82 Pt also for mineral fertilization in Group III. In turn, in the category of ecosystems, the level of environmental impact ranged from 0.00 Pt (mineral fertilization in Group I) to 2.60 Pt, for activities related to mineral fertilization, but in Group III.

Table 12.

The environmental impact of the consumption of production materials as per biomass yield (Pt·tonne−1).

Group Category Soil preparation Mineral fertilization Chemical care Mechanical care Harvesting Transport
I Human Health 0.195 0.000 0.226 0.024 0.000 0.100
Ecosystems 0.124 0.000 0.107 0.015 0.000 0.064
Resources 1.098 0.000 0.294 0.133 0.000 0.564
II Human Health 0.110 0.411 0.116 0.006 0.000 0.087
Ecosystems 0.070 0.165 0.056 0.004 0.000 0.055
Resources 0.618 0.359 0.188 0.033 0.000 0.487
III Human Health 0.148 0.825 0.077 0.005 0.044 0.081
Ecosystems 0.094 0.362 0.039 0.003 0.028 0.052
Resources 0.831 0.548 0.174 0.029 0.249 0.457

The environmental impact of the use of technical means of production (processes) in energy willow cultivation technologies, as per the fresh willow biomass yield, was presented in Table 13. Similarly to production materials, the environmental impact of processes was considered in three categories: human health, ecosystems, and resources. The dependence of the environmental impact on the use of machines and devices in individual plantation groups differs but slightly from the results analyzed in Table 11, the only exception being the chemical plant protection treatments. The structure of the environmental impact associated with processes (the use of machines and devices) on three levels: human health, ecosystems, and resources, is as in Table 11. The level of the environmental impact of processes in the category of human health ranges from 0.00 Pt for mineral fertilization (Group I) and harvest (Groups I and II), to 7.49 Pt for transportation in Group I. The level of environmental impact in the category of resources ranges from 0.00 Pt for mineral fertilization (Group I) and harvest (Groups I and II), to 6.89 Pt for transportation in Group I. In turn, in the category of ecosystems, the magnitude of the environmental impact ranged between 0.00 Pt (mineral fertilization category in Group I) and harvest (Groups I and II) to 3.42 Pt for transportation in Group I.

Table 13.

The environmental impact of the utilization of technical means of production (processes) as per biomass yield (Pt·tonne−1).

Group Category Soil preparation Mineral fertilization Chemical care Mechanical care Harvesting Transport
I Human Health 2.017 0.000 0.089 0.143 0.000 7.498
Ecosystems 0.879 0.000 0.043 0.077 0.000 3.424
Resources 1.668 0.000 0.078 0.125 0.000 6.896
II Human Health 1.424 0.028 0.081 0.050 0.000 4.828
Ecosystems 0.612 0.012 0.039 0.027 0.000 2.205
Resources 1.167 0.023 0.071 0.044 0.000 4.441
III Human Health 1.319 0.063 0.053 0.046 0.079 2.745
Ecosystems 0.569 0.027 0.026 0.025 0.036 1.253
Resources 1.081 0.052 0.047 0.040 0.067 2.524

Table 14 and Fig. 4 present the unit total environmental impact (as per plantation area) related to the energy willow cultivation technology, broken down into the impact of materials and processes. The total environmental impact in Groups I and II is very similar and amounts to 168 Pt and 164 Pt. The total environmental impact in the group of the largest plantations is the most favorable and amounts to only 108 Pt. To compare, the environmental impact in potato cultivation, estimated using the same methodology, is approx. 280 Pt48. Upon analyzing the results in Fig. 4, one observes a much greater environmental impact of processes, i.e. the use of machinery and tools, than of production materials. The processes in Group I affect 88% of the total environmental impact; in Group II it is 84%, and in the group of the largest plantations—72%. Materials, in turn, decide on the level of the total environmental impact, from 12% in Group I, to 16% in Group II, to 28% in the group of plantations with the largest area. Thus, a clear tendency of the impact of processes/materials on the overall environmental impact to increase/decrease can be observed along with the increase in the plantation area.

Table 14.

The structure of the total environmental impact as per plantation area (Pt·ha−1).

Specification Group I Group II Group III
Soil preparation Material 9.74 7.70 8.18
Processes 31.30 30.58 23.18
Mineral fertilization Material 0.00 8.98 12.50
Processes 0.00 0.61 1.02
Chemical care Material 4.46 3.38 2.21
Processes 1.49 1.78 0.99
Mechanical care Material 1.08 0.41 0.33
Processes 2.16 1.15 0.96
Harvesting Material 0.00 0.00 2.56
Processes 0.00 0.00 1.51
Transport Material 4.89 5.81 4.54
Processes 113.51 104.40 50.22

Figure 4.

Figure 4

The structure of the total environmental impact as per plantation area.

Table 15 and Fig. 5 show the structure of the unit total environmental impact (as per fresh biomass yield) related to the energy willow cultivation technology in individual area groups. This structure, similar to Fig. 4, relates to the interaction of materials and processes. The total environmental impact is at a completely different level than that observed in Fig. 4 (as per plantation area) and is calculated per yield of fresh willow biomass, from 14 Pt in the smallest plantation group to 18 Pt in the middle group and 26 Pt in the largest plantation group. Undoubtedly, the shaping of the above values is affected by biomass yields in individual groups. The results of the Endpoint analysis for particular area groups are consistent with the results of the Midpoint analysis, i.e. a lower environmental impact, both for the growing area and the biomass yield is observed in the cultivation of energy willow on large plantations. This state of affairs results, among other things, from better organization of work, especially related to the use of means of transport, which is evidenced by the results in Tables 14 and 15.

Table 15.

The structure of the total environmental impact as per biomass yield (Pt·tonne−1).

Specification Group I Group II Group III
Soil preparation Material 1.42 0.80 1.07
Processes 4.56 3.20 2.97
Mineral fertilization Material 0.00 0.94 1.74
Processes 0.00 0.06 0.14
Chemical care Material 0.63 0.36 0.29
Processes 0.21 0.19 0.13
Mechanical care Material 0.17 0.04 0.04
Processes 0.35 0.12 0.11
Harvesting Material 0.00 0.00 0.32
Processes 0.00 0.00 0.18
Transport Material 0.73 0.63 0.59
Processes 17.82 11.47 6.52

Figure 5.

Figure 5

The structure of the total environmental impact as per the biomass yield.

Conclusions and the further research

Based on the conducted research, it was found that:

  1. A decisively dominant position in the structure of the environmental impact (EI), related to the cultivation of energy willow, is held by the so-called processes, i.e. the use of technical means of production. Their share in the total environmental impact decreases from 148.5 Pt in the group of the smallest plantations, to 77.9 Pt in the group of the largest plantations. This state of affairs should prompt energy willow biomass producers to simplify the cultivation and reduce the number of technological treatments applied.

  2. The cultivation of energetic willow on larger plantations is characterized by a much lower environmental impact (as per the cultivation area), at approx. 108 Pt, compared to the cultivation on smaller plantations, where the value of the environmental impact is 168 Pt. This is due to, e.g. a certain simplification of production technology, as well as a reduction in the use of production materials (fertilizers, pesticides). Unfortunately, these adversely affect the volume of the harvested biomass.

  3. In the structure of the environmental impact of production materials used in the cultivation of energy willow, the dominant position (from 57% in Group III to 70% in Group I) is held by the category of resources. Its size depends largely on the level of diesel fuel consumption, i.e. the number of harvest runs and the technical equipment’s level of advancement.

  4. In the case of the environmental impact of processes (the use of technical means of production), the largest percentage, approx. 42%, was observed in the human health category, which is also mainly associated with the consumption of fuel, i.e. diesel.

  5. The unfavorable impact of production materials applies to the greatest extent to soil preparation and slightly less to mineral fertilization, which once again points to diesel oil as a means of production that is particularly important in the aspect of environmental protection. It is also an argument for the expediency of seeking alternative fuels, the use of which will significantly contribute to environmental protection.

  6. Further study of energy willow in subsequent years of cultivation is necessary to better understand its environmental impact and to balance the possible environmental benefits of producing various types of energy and heat from biomass. Further research will include a life cycle analysis on various willow biomass conversion technologies. An economic analysis of biofuel production in terms of the environmental impact of production will also be conducted.

Acknowledgements

Publication was supported with a grant from the Ministry for Higher Education for statutory activities.

Author contributions

Conceptualization, Z.K., and D.K.; methodology, Z.K., and D.K.; validation, Z.K., and D.K.; formal analysis, Z.K., and D.K.; investigation, Z.K., and D.K.; resources, Z.K., and D.K.; writing—original draft preparation, Z.K.; writing—review and editing, Z.K.

Competing interests

The authors declare no competing interests.

Footnotes

Publisher's note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

References

  • 1.Roy P, Tokuyasu K, Orikasa T, Nakamura N, Shiixa T. A Review of life cycle assessment (LCA) of bioethanol from lignocellulosic biomass. JARQ. 2012;46:41–57. doi: 10.6090/jarq.46.41. [DOI] [Google Scholar]
  • 2.Palmer MM, Forrester JA, Rothstein DE, Mladenoff DJ. Establishment phase greenhouse gas emissions in short rotation woody biomass plantations in the Northern Lake States, USA. Biomass Bioenergy. 2014;62:26–36. doi: 10.1016/j.biombioe.2014.01.021. [DOI] [Google Scholar]
  • 3.González-García S, Iribarren D, Susmozas A, Dufour J, Murphy RJ. Life cycle assessment of two alternative bioenergy systems involving Salix spp. biomass: bioethanol production and power generation. Appl. Energy. 2012;95:111–122. doi: 10.1016/j.apenergy.2012.02.022. [DOI] [Google Scholar]
  • 4.Mizsey P, Racz P. Cleaner production alternatives: biomass utilisation options. J. Clean. Prod. 2010;18:767–770. doi: 10.1016/j.jclepro.2010.01.007. [DOI] [Google Scholar]
  • 5.Igliński B, Cichosz M, Skrzatek M, Buczkowski R. Potencjał energetyczny biomasy na gruntach ugorowanych i nieużytkach w Polsce. Inżynieria i Ochrona Środowiska. 2018;21:79–87. [Google Scholar]
  • 6.Stolarski M, Szczukowski S, Tworkowski J. Biopaliwa z biomasy wieloletnich roślin energetycznych. Energetyka. 2008;1:77–80. [Google Scholar]
  • 7.Murphy F, Devlin G, McDonnell K. Energy requirements and environmental impacts associated with the production of short rotation willow (Salix sp.) chip in Ireland. GCB Bioenergy. 2014;6:727–739. doi: 10.1111/gcbb.12111. [DOI] [Google Scholar]
  • 8.El Bassam, N. Handboook for Bioenergy Crops. Earthscan, London, 544 (2010).
  • 9.Eisenbies MH, Volk TA, Posselius J, Foster Ch, Shi S. Evaluation of a single-pass, cut and chip harvest system on commercial-scale, short-rotation shrub willow biomass crops. BioEnergy Res. 2014;7(4):1506–1518. doi: 10.1007/s12155-014-9482-0. [DOI] [Google Scholar]
  • 10.Nathan J, Sleight N, Volk TA. Recently Bred Willow (Salix spp.) Biomass crops show stable yield trends over three rotations at two sites. BioEnergy Res. 2016;9:782–797. doi: 10.1007/s12155-016-9726-2. [DOI] [Google Scholar]
  • 11.Djomo SN, Kasmioui OE, Ceulemans R. Energy and greenhouse gas balance of bioenergy production from poplar and willow: a review. GCB Bioenergy. 2011;3(3):181–197. doi: 10.1111/j.1757-1707.2010.01073.x. [DOI] [Google Scholar]
  • 12.Hammar T, Ericsson N, Sundberg C, Hansson PA. Climate impact of willow grown for bioenergy in Sweden. BioEnergy Res. 2014;7:1529–1540. doi: 10.1007/s12155-014-9490-0. [DOI] [Google Scholar]
  • 13.Argus GW. Infrageneric classification of Salix (Salicaceae) in the new world. Syst. Bot. Monogr. 1997;52:101–121. doi: 10.2307/25096638. [DOI] [Google Scholar]
  • 14.Keoleian GA, Volk TA. Renewable energy from willow biomass crops: life cycle energy, environmental, and economic performance. Crit. Rev. Plant Sci. 2005;24:385–406. doi: 10.1080/07352680500316334. [DOI] [Google Scholar]
  • 15.Christersson L, Sennerby-Forsse L, Zsuffa L. The role and significance of woody biomass plantations in Swedish agriculture. For. Chron. 1993;69:687–693. doi: 10.5558/tfc69687-6. [DOI] [Google Scholar]
  • 16.Schroeder W, Kort J, Savoie P, Preto F. Biomass harvest from natural willow rings around prairie wetlands. BioEnergy Res. 2009;2:99–105. doi: 10.1007/s12155-009-9040-3. [DOI] [Google Scholar]
  • 17.Abrahamson LP, Volk TA, Smart LP. Shrub Willow Producers Handbook. Syracuse: SUNY-ESF; 2010. [Google Scholar]
  • 18.Heller MC, Keoleian GA, Volk TA. Life cycle assessment of a willow bioenergy cropping system. Biomass Bioenerg. 2003;25:147–165. doi: 10.1016/S0961-9534(02)00190-3. [DOI] [Google Scholar]
  • 19.Volk TA, Verwijst T, Tharakan PJ, Abrahamson LP, White EH. Growing fuel: a sustainability assessment of willow biomass crops. Front. Ecol. Evol. 2004;2(8):411–418. doi: 10.1890/1540-9295(2004)002[0411:GFASAO]2.0.CO;2. [DOI] [Google Scholar]
  • 20.Rowe RL, Street NR, Taylor G. Identifying potential environmental impacts of large-scale deployment of dedicated bioenergy crops in the UK. Renew. Sustain. Energy Rev. 2009;13:271–290. doi: 10.1016/j.rser.2007.07.008. [DOI] [Google Scholar]
  • 21.Lippke B, Gustafson R, Venditti R, et al. Comparing life-cycle carbon and energy impacts for biofuel, wood product, and forest management alternatives. Forest Prod. J. 2012;62:247–257. doi: 10.13073/FPJ-D-12-00017.1. [DOI] [Google Scholar]
  • 22.Caputo J, Balogh SB, Volk TA, et al. Incorporating uncertainty into a life cycle assessment (LCA) model of short-rotation willow biomass (Salix spp) crops. BioEnergy Res. 2014;7(1):48–59. doi: 10.1007/s12155-013-9347-y. [DOI] [Google Scholar]
  • 23.Davis SC, Parton WJ, Del Grosso SJ, Keough C, Marx E, Adler PR, et al. Impact of second-generation biofuel agriculture on greenhouse-gas emissions in the corngrowing regions of the US. Front. Ecol. Environ. 2012;10:69–74. doi: 10.1890/110003. [DOI] [Google Scholar]
  • 24.Arevalo CBM, Bhatti JS, Chang SX, Skidders D. Land use change effects on ecosystem carbon balance: from agricultural to hybrid poplar plantation. Agric. Ecosyst. Environ. 2011;141:342–349. doi: 10.1016/j.agee.2011.03.013. [DOI] [Google Scholar]
  • 25.Pietrzykowski M, Woś B, Tylek P, Kwaśniewski D, Juliszewski T, Walczyk J, Tabor S. Carbon sink potential and allocation in above-and below-ground biomass in willow coppice. J. For. Res. 2020 doi: 10.1007/s11676-019-01089-3. [DOI] [Google Scholar]
  • 26.Langholtz M, Eaton L, Davis M, Shedden M, Brandt C, Volk T, Richard T. Economic comparative advantage of willow biomass in the Northeast USA. Biofuels Bioprod. Biorefin. 2019;13(1):74–85. doi: 10.1002/bbb.1939. [DOI] [Google Scholar]
  • 27.Kimming M, Sundberg C, Nordberg A, Baky A, Bernesson S, Nore´n O, Hansson PA, Biomass from agriculture in small-scale combined heat and power plants. Comp. Life Cycle Assess. Biomass Bioenergy. 2011;35:1572–1581. doi: 10.1016/j.biombioe.2010.12.027. [DOI] [Google Scholar]
  • 28.Fargione JE, Plevin RJ, Hill JD. The ecological impact of biofuels. Annu. Rev. Ecol. Evol. 2010;41:351–377. doi: 10.1146/annurev-ecolsys-102209-144720. [DOI] [Google Scholar]
  • 29.Zhao, F., Wu, J., Wang, L., Liu, S., Wei, X., Xiao, J., Qiu, L., & Sun, P. Multi-environmental impacts of biofuel production in the US Corn Belt: a coupled hydro-biogeochemical modeling approach. J. Clea. Prod.251, 119561, ISSN 0959-6526 (2020).
  • 30.Wu Y, Liu S, Li Z. Identifying potential areas for biofuel production and evaluating the environmental effects: a case study of the James River Basin in the Midwestern United States. Glob. Change Biol. Bioenergy. 2012;4:875–888. doi: 10.1111/j.1757-1707.2012.01164.x. [DOI] [Google Scholar]
  • 31.Wu Y, Zhao F, Liu S, et al. Bioenergy production and environmental impacts. Geosci. Lett. 2018;5:14. doi: 10.1186/s40562-018-0114-y. [DOI] [Google Scholar]
  • 32.Meehan TD, Hurlbert AH, Gratton C. Bird communities in future bioenergy landscapes of the Upper Midwest. Proc. Natl. Acad. Sci. 2010;107:18533–18538. doi: 10.1073/pnas.1008475107. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 33.Murphy R, Woods J, Black M, McManus M. Global developments in the competition for land from biofuels. Food Policy. 2011;36:52–61. doi: 10.1016/j.foodpol.2010.11.014. [DOI] [Google Scholar]
  • 34.Styles, D., Borjesson, P., d’Hertefeldt, T., Birkhofer, K., Dauber, J., Adams, P., & Vaneeckhaute, C. Climate regulation, energy provisioning and water purification (2019). [DOI] [PMC free article] [PubMed]
  • 35.Zhang YK, Schilling KE. Increasing streamflow and baseflow in Mississippi River since the 1940s: effect of land use change. J. Hydrol. 2006;324:412–422. doi: 10.1016/j.jhydrol.2005.09.033. [DOI] [Google Scholar]
  • 36.Pacaldo RS, Volk TA, Briggs RD. No significant differences in soil organic carbon contents along a chronosequence of shrub willow biomass crop fields. Biomass Bioenerg. 2013;58:136–142. doi: 10.1016/j.biombioe.2013.10.018. [DOI] [Google Scholar]
  • 37.Guo LB, Gifford RM. Soil carbon stocks and land use change: a meta-analysis. Glob. Change Biol. 2002;8:345–360. doi: 10.1046/j.1354-1013.2002.00486.x. [DOI] [Google Scholar]
  • 38.Gelfand I, Snapp SS, Robertson GP. Energy efficiency of conventional, organic, and alternative cropping systems for food and fuel at a site in the US Midwest. Environ. Sci. Technol. 2010;44:4006–4011. doi: 10.1021/es903385g. [DOI] [PubMed] [Google Scholar]
  • 39.Zenone T, Chen J, Deal M, Wilske B, Jasriota P, Xu J, et al. CO2 fluxes of transitional bioenergy crops: effect of land conversion during the first year of cultivation. Glob. Change Biol. Bioenergy. 2011;3:401–412. doi: 10.1111/j.1757-1707.2011.01098.x. [DOI] [Google Scholar]
  • 40.Henner, D., Smith, P., Davies, C., McNamara, N., Balkovic, J. Sustainable whole system: Miscanthus, Willow and Poplar bioenergy crops for carbon stabilisation and erosion control in agricultural systems. In Geophysical Research Abstracts21 (2019).
  • 41.Bouwman AF, van Grinsven JM, Eickhout B. Consequences of the cultivation of energy crops for the global nitrogen cycle. Ecol. Appl. 2010;20:101–109. doi: 10.1890/08-0608.1. [DOI] [PubMed] [Google Scholar]
  • 42.Galloway JN, Townsend AR, Erisman JW, Bekunda M, Cai Z, Freney JR, et al. Transformation of the nitrogen cycle: recent trends, questions, and potential solutions. Science. 2008;320:889–892. doi: 10.1126/science.1136674. [DOI] [PubMed] [Google Scholar]
  • 43.Fargione J, Hill J, Tilman D, Polasky S, Hawthorne P. Land clearing and the biofuel carbon debt. Science. 2008;319:1235–1238. doi: 10.1126/science.1152747. [DOI] [PubMed] [Google Scholar]
  • 44.Searchinger T, Heimlich R, Houghton RA, Dong F, Elobeid A, Fabiosa J, et al. Use of US croplands for biofuels increases greenhouse gases through emissions from land use change. Science. 2008;319:1238–1240. doi: 10.1126/science.1151861. [DOI] [PubMed] [Google Scholar]
  • 45.Sikora J, Niemiec M, Szelag-Sikora A, et al. The impact of a controlled-release fertilizer on greenhouse gas emissions and the efficiency of the production of Chinese cabbage. Energies. 2020;8(13):2063. doi: 10.3390/en13082063. [DOI] [Google Scholar]
  • 46.Tonini D, Astrup T. LCA of biomass-based energy systems: a case 2008 study for Denmark. Appl. Energy. 2012;99:234–246. doi: 10.1016/j.apenergy.2012.03.006. [DOI] [Google Scholar]
  • 47.Caserini S, Livio S, Giugliano M, Grosso M, Rigamonti L. LCA of domestic and centralized biomass combustion: the case of Lombardy (Italy) Biomass Bioenerg. 2010;34:474–482. doi: 10.1016/j.biombioe.2009.12.011. [DOI] [Google Scholar]
  • 48.Kowalczyk, Z. Environmental impact of potato cultivation on plantations covering areas of various sizes. In Web of Conferences, E3S Web Conferences, 2019, XXII International Scientific Conference POLSITA, Progress of Mechanical Engineering Supported by Information Technology Vol. 132 (2019).
  • 49.Kowalczyk, Z. Life cycle assessment (LCA) of potato production. In Web of Conferences, E3S Web Conferences, 2019, XXII International Scientific Conference POLSITA Progress of Mechanical Engineering Supported by Information Technology Vol. 132 (2019).
  • 50.Roy P, Nei D, Orikasa T, Xu Q, Okadome H, Nakamura N, Shiina T. A review of life cycle assessment (LCA) on some food products. J. Food Eng. 2009;90:1–10. doi: 10.1016/j.jfoodeng.2008.06.016. [DOI] [Google Scholar]
  • 51.Klein D, Wolf Ch, Schulz Ch, Weber-Blaschke G. 20 years of life cycle assessment (LCA) in the forestry sector: state of the art and a methodical proposal for the LCA of forest production. Int. J. Life Cycle Assess. 2015;20:556–575. doi: 10.1007/s11367-015-0847-1. [DOI] [Google Scholar]
  • 52.Cherubini F. GHG balances of bioenergy systems—overview of key steps in the production chain and methodological concerns. Renew. Energy. 2010;35(7):1565–1573. doi: 10.1016/j.renene.2009.11.035. [DOI] [Google Scholar]
  • 53.Supasri T, Itsubo N, Gheewala SH, et al. Life cycle assessment of maize cultivation and biomass utilization in northern Thailand. Sci. Rep. 2020;10:3516. doi: 10.1038/s41598-020-60532-2. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 54.Turconi R, Boldrin A, Astrup T. Life cycle assessment (LCA) of electricity generation technologies: overview, comparability and limitations. Renew. Sustain. Energy Rev. 2013;28:555–565. doi: 10.1016/j.rser.2013.08.013. [DOI] [Google Scholar]
  • 55.Finnveden G, Hauschild M, Ekvall T, Guinee J, Heijungs R, Hellweg S, et al. Recent developments in life cycle assessment. J. Environ. Manage. 2009;91(1):1–21. doi: 10.1016/j.jenvman.2009.06.018. [DOI] [PubMed] [Google Scholar]
  • 56.Guidi Nissim W, Pitre FE, Teodorescu TI, Labrecque M. Long-term biomass productivity of willow bioenergy plantations maintained in southern Quebec Canada. Biomass Bioenergy. 2013;56:361–369. doi: 10.1016/j.biombioe.2013.05.020. [DOI] [Google Scholar]
  • 57.Kowalczyk Z, Kwaśniewski D. Life cycle assessment (LCA) in energy willow cultivation on plantations with varied surface area. Agric. Eng. 2019;23(4):11–19. [Google Scholar]
  • 58.Huijbregts MAJ, Steinmann ZJN, Elshout PMF, et al. ReCiPe2016: a harmonised life cycle impact assessment method at midpoint and endpoint level. Int. J. Life Cycle Assess. 2017;22:138–147. doi: 10.1007/s11367-016-1246-y. [DOI] [Google Scholar]
  • 59.IPCC Climate change 2013: the physical science basis. In: Stocker TF, QinD, PlattnerGK, TignorM, Allen SK, Boschung J, Nauels A, Xia Y, Bex V, Midgley PM (eds) Contribution of Working Group I to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change. Cambridge, Cambridge University Press, 1535 (2013).
  • 60.Joos F, Roth R, Fuglestvedt JS, Peters GP, Enting IG, Von Bloh W, Brovkin V, Burke EJ, Eby M, Edwards NR, Friedrich T, Frölicher TL, Halloran PR, Holden PB, Jones C, Kleinen T, Mackenzie FT, Matsumoto K, Meinshausen M, Plattner GK, Reisinger A, Segschneider J, Shaffer G, Steinacher M, Strassmann K, Tanaka K, Timmermann A, Weaver AJ. Carbon dioxide and climate impulse response functions for the computation of greenhouse gas metrics: a multi-model analysis. Atmos. Chem. Phys. 2013;13:2793–2825. doi: 10.5194/acp-13-2793-2013. [DOI] [Google Scholar]
  • 61.WMO Scientific assessment of ozone depletion . 2010, Global Ozone Research and Monitoring Project-Report 52. Geneva: World Meteorological Organization; 2011. [Google Scholar]
  • 62.Frischknecht R, Braunschweig A, Hofstetter P, Suter P. Human health damages due to ionising radiation in life cycle impact assessment. Environ. Impact Asses Rev. 2000;20:159–189. doi: 10.1016/S0195-9255(99)00042-6. [DOI] [Google Scholar]
  • 63.Van Zelm R, Preiss P, Van Goethem T, Van Dingenen R, Huijbregts MAJ. Regionalized life cycle impact assessment of air pollution on the global scale: damage to human health and vegetation. Atmos. Environ. 2016;134:129–137. doi: 10.1016/j.atmosenv.2016.03.044. [DOI] [Google Scholar]
  • 64.Roy PO, Azevedo LB, Margni M, Van Zelm R, Deschênes L, Huijbregts MAJ. Characterization factors for terrestrial acidification at the global scale: a systematic analysis of spatial variability and uncertainty. Sci. Total Environ. 2014;500:270–276. doi: 10.1016/j.scitotenv.2014.08.099. [DOI] [PubMed] [Google Scholar]
  • 65.Helmes RJK, Huijbregts MAJ, Henderson AD, Jolliet O. Spatially explicit fate factors of phosphorous emissions to freshwater at the global scale. Int. J. Life Cycle Assess. 2012;17:646–654. doi: 10.1007/s11367-012-0382-2. [DOI] [Google Scholar]
  • 66.VanZelm R, Huijbregts MAJ, VandeMeent D. USES-LCA 2.0: aglobal nested multi-media fate, exposure and effects model. Int. J. Life Cycle Assess. 2009;14(30):282–284. doi: 10.1007/s11367-009-0066-8. [DOI] [Google Scholar]
  • 67.De Baan L, Alkemade R, Köllner T. Land use impacts on biodiversity in LCA: a global approach. Int. J. Life Cycle Assess. 2013;18:1216–1230. doi: 10.1007/s11367-012-0412-0. [DOI] [Google Scholar]
  • 68.Curran M, Hellweg S, Beck J. Is there any empirical support for biodiversity offset policy? Ecol. Appl. 2014;24:617–632. doi: 10.1890/13-0243.1. [DOI] [PubMed] [Google Scholar]
  • 69.Döll P, Siebert S. Global modelling of irrigation water requirements. Water Resour. Res. 2002;38:1037. doi: 10.1029/2001WR000355. [DOI] [Google Scholar]
  • 70.Hoekstra AY, Mekonnen MM. The water footprint of humanity. PNAS. 2012;109:3232–3237. doi: 10.1073/pnas.1109936109. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 71.Vieira MDM, Ponsioen TC, Goedkoop M, Huijbregts MAJ. Surplus ore potential as a scarcity indicator for resource extraction. J. Indus. Ecol. 2016;21(2):381–390. doi: 10.1111/jiec.12444. [DOI] [Google Scholar]
  • 72.Jungbluth, N., & Frischknecht, R. Cumulative energy demand. In Hischier, R., Weidema, B. (Eds) Implementation of Life Cycle Impact Assessment Methods, St Gallen Ecoinvent Centre, pp. 33–40.
  • 73.Huijbregts, M. A. J., Steinmann, Z. J. N., Elshout, P. M. F. et al. ReCiPe 2016: a harmonized life cycle impact assessment method at midpoint and endpoint level report I. Charact. RIVM Rep.2016–0104 (2016).
  • 74.Spinelli R, Schweier J, De Francesco F. Harvesting techniques for non-industrial biomass plantations. Biosyst. Eng. 2012;113:319–324. doi: 10.1016/j.biosystemseng.2012.09.008. [DOI] [Google Scholar]
  • 75.Kwaśniewski D, Mudryk K, Wróbel M. Zbiór wierzby energetycznej z użyciem piły łańcuchowej. Inżynieria Rolnicza. 2006;13:271–277. [Google Scholar]
  • 76.Wiloso EI, Setiawan AAR, Prasetia H, Muryanto WAR, Subyakto SIM, Lestari R, Nugroho S, Hermawan D, Fang K, Heijungs R. Production of sorghum pellets for electricity generation in Indonesia: a life cycle assessment. Biofuel Res. J. 2020;27:1178–1194. doi: 10.18331/BRJ2020.7.3.2. [DOI] [Google Scholar]
  • 77.Yang Y, Tilman D. Soil and root carbon storage is key to climate benefits of bioenergy crops. Biofuel Res. J. 2020;26:1143–1148. doi: 10.18331/BRJ2020.7.2.2. [DOI] [Google Scholar]
  • 78.Heller MC, Keoleian GA, Mann MK, Volk TA. Life cycle energy and environmental benefits of generating electricity from willow biomass. Renew. Energy. 2004;29(7):1023–1042. doi: 10.1016/j.renene.2003.11.018. [DOI] [Google Scholar]
  • 79.Fernandez-Tirado F, Parra-Lo´pez C, Calatrava-Requena JA, methodological proposal for life cycle inventory of fertilization in energy crops: the case of Argentinean soybean and Spanish rapeseed. Biomass Bioenergy. 2013;58:104–116. doi: 10.1016/j.biombioe.2013.07.022. [DOI] [Google Scholar]
  • 80.Goglioa P, Owende PMO. A screening LCA of short rotation coppice willow (Salix sp.) feedstock production system for small-scale electricity generation. Biosyst. Eng. 2009;103:389–394. doi: 10.1016/j.biosystemseng.2009.03.003. [DOI] [Google Scholar]

Articles from Scientific Reports are provided here courtesy of Nature Publishing Group

RESOURCES