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Article

Potential Bioenergy Production from Miscanthus × giganteus in Brandenburg: Producing Bioenergy and Fostering Other Ecosystem Services while Ensuring Food Self-Sufficiency in the Berlin-Brandenburg Region

by
Ehsan Tavakoli-Hashjini
1,*,
Annette Piorr
1,
Klaus Müller
1,2 and
José Luis Vicente-Vicente
1
1
Leibniz Centre for Agricultural Landscape Research (ZALF) e.V., 15374 Müncheberg, Germany
2
Faculty of Life Sciences, Humboldt University of Berlin, 10117 Berlin, Germany
*
Author to whom correspondence should be addressed.
Sustainability 2020, 12(18), 7731; https://doi.org/10.3390/su12187731
Submission received: 28 August 2020 / Revised: 14 September 2020 / Accepted: 15 September 2020 / Published: 18 September 2020
(This article belongs to the Special Issue Energy Modeling Related to Sustainability)

Abstract

:
Miscanthus × giganteus (hereafter Miscanthus) is a perennial crop characterized by its high biomass production, low nutrient requirements, its ability for soil restoration, and its cultivation potential on marginal land. The development of the bioenergy sector in the state of Brandenburg (Germany), with maize as the dominant crop, has recently drawn attention to its negative environmental impacts, competition with food production, and uncertainties regarding its further development toward the state’s bioenergy targets. This study aimed to estimate the potential bioenergy production in Brandenburg by cultivating Miscanthus only on marginal land, thereby avoiding competition with food production in the Berlin-Brandenburg city-region (i.e., foodshed), after using the Metropolitan Foodshed and Self-sufficiency Scenario (MFSS) model. We estimated that by 2030, the Berlin-Brandenburg foodshed would require around 1.13 million hectares to achieve 100% food self-sufficiency under the business as usual (BAU) scenario, and hence there would be around 390,000 ha land left for bioenergy production. Our results suggest that the region would require about 569,000 ha of land of maize to generate 58 PJ—the bioenergy target of the state of Brandenburg for 2030—which is almost 179,000 ha more than the available area for bioenergy production. However, under Miscanthus plantation, the required area would be reduced by 2.5 times to 232,000 ha. Therefore, Miscanthus could enable Brandenburg to meet its bioenergy target by 2030, while at the same time avoiding the trade-offs with food production, and also providing a potential for soil organic carbon (SOC) sequestration of around 255,200 t C yr-1, leading to an improvement in the soil fertility and other ecosystem services (e.g., biodiversity), compared with bioenergy generated from maize.

Graphical Abstract

1. Introduction

Bioenergy is widely regarded as a major source of renewable energy with numerous benefits including Greenhouse Gas (GHG) reduction and climate change mitigation [1,2] To address the climate change challenge, an ideal approach would be to replace fossil fuels with renewable energy sources combined with a rapid improvement in energy efficiency [3,4] Bioenergy was intended to mitigate climate change through lowering GHG emissions, nonetheless, many biofuels nowadays emit as much or even more GHGs than fossil fuels or lead to only small savings, considering their whole lifecycle and taking into account the negative impacts of indirect land-use changes [5].
Several factors are impeding bioenergy’s sustainability development pathways. The most controversial issue is the trade-off between the cultivation of bioenergy crops and food production (i.e., competition for land) [6,7,8]. In recent years, many fertile agricultural lands have been converted to bioenergy crops, mainly maize, rapeseed, and sugar beet [9,10].
The most common biofuel in Germany is biogas [11]. Maize as a bioenergy crop has been responsible for 70% biogas production input [12,13] Maize is usually planted as a monocrop and its cultivation is characterized by high nutrition requirements (i.e., fertilizers and/or good soil fertility properties) [14]. Biodiversity in maize monoculture farms is very low, and they are often called “grass deserts” [15]. Monoculture does not permit the reproduction of other species since only one species is planted and weeds are controlled by using pre- and post-emergence herbicides [16]. In this regard, the environmental effects of maize as a bioenergy crop is still a controversial topic [17]. Intensification in maize monoculture is recognized to result in soil erosion, groundwater contamination, and biodiversity loss, impacting all organisms that live in agricultural habitats [18]. In Germany, in almost all regions under intense agricultural practices, high nitrate contamination of groundwater can be expected [19]. N fertilizers contribute to various environmental issues such as contamination of groundwater and air pollution. Furthermore, nitrous oxide gas (N2O) emissions, also considered as GHG, contribute to climate change [20,21] In this line, the 2030 Biodiversity Strategy of the European Union (EU) [22] includes specific goals to restore, for example, damaged ecosystems to reduce risks from chemical pesticides, or mitigating the decline in farmland birds and insects.
Maize and other edible common energy crops such as wheat, sugarcane, and rapeseed are considered as the feedstock for the first generation (1G) of biofuels [23]. The problem regarding the use of these crops for bioenergy production is, first, they are either food or feed crops that directly generate negative effects on food security [24,25]. Such crops that could be part of the food cycle are being severely processed to be burnt as a fuel. Secondly, their production is competing with food production as they also require arable land [26,27]. While bioenergy production is attracting great attention as a renewable source of energy, the world’s population is rapidly increasing and consequently the demand for food is increasing [28]. According to the Food and Agriculture Organization of the United Nations (FAO), to feed the growing population by 2050, agricultural production will need to increase by 60% [29]. This raises the question of how to feed the world, which has become a major problem in facing bioenergy development in a regional decision-making context.
To alleviate these negative impacts on the environment and the competition with food production, one of the solutions suggested by many researchers is the use of marginal land for bioenergy cropping [30,31,32]. Thus, the fertile arable land could still be used for food production. Whereas 1G energy crops, the second generation of biofuels (2G), come from non-edible biomass plant species that contain lignocellulosic compounds [33], Miscanthus, black locust, switchgrass, and canary grass are common 2G bioenergy crops [34,35]. The other common alternative pathway towards the sustainability of the biofuels is to consider a shift to 2G bioenergy crops [36,37].
Miscanthus is a perennial C4 rhizomatous grass native to Southeast Asia, and with lignified stems similar to bamboo [33,38,39,40]. It has specific features such as large root systems and a dormant ability, resulting in higher stress resistance, higher survival rates, lower growth restrictions, and improved yield [41]. Miscanthus, as an energy crop with relatively low maintenance requirements and a high dry matter yield and energy content, may play a major role in the sustainable development of biofuels [42,43]. Furthermore, and more importantly, Miscanthus can enhance soil organic carbon (SOC) accumulation, which improves soil fertility and, consequently, crop yields [44] and, on the other hand, contributes to mitigating CO2 emissions to the atmosphere from the soil [45]. Under unfertilized Miscanthus, N2O emissions might be five times lower than annual crops, and up to 100 times lower than conventional pastures. In Miscanthus plantations, nitrogen (N) fertilizers are not usually required unless the soil is very poor. Herbicides are only needed for the establishment years, after that, due to its canopy closure, weed suppression happens naturally by shading [46]. Pesticides are also only required in the establishment period when the shoots are young and fragile, in most cases after the establishment period, pesticides can be avoided [38]. Due to these environmental benefits, it has been suggested to include this crop as a greening measure of the EU’s common agricultural policy (CAP) [47].
Because Miscanthus can be planted on marginal land, competition for land with food production can be avoided or significantly reduced [48]. Therefore, in order to evaluate the possibility of achieving the bioenergy goal of Brandenburg for 2030 and at the same time avoiding competition for land with food production, a backcasting methodology has been applied in the region for the first time.
Thus, the aim of this study is fourfold:
1)
Estimate the area required to meet Brandenburg’s bioenergy target for 2030 (58 PJ) by using silage maize and Miscanthus (backcasting process).
2)
Estimate the bioenergy potential production from maize and Miscanthus by using only the available area for bioenergy without occupying the estimated land for achieving 100% of food self-sufficiency in the Berlin-Brandenburg foodshed (forecasting process).
3)
Select the most suitable pathway by comparing the results from the backcasting and forecasting.
4)
Identify and, in some cases roughly measure, other ecosystem services beyond provisioning services that may be positively affected after Miscanthus plantation in degraded lands.

2. Materials and Methods

2.1. Study Case: Brandenburg

a)
Geography and pedoclimatic conditions
Brandenburg is located in the northeast of Germany (Figure 1), has a population of 2.5 million people, and covers an area of 29,478 km2. It is the fifth-largest German state by area and the tenth most populated. However, it is considered a populated area with very low density, as there are only 85 inhabitants per square kilometer. Brandenburg encircles Berlin—the national capital and city-state—and together they form the Berlin-Brandenburg Metropolitan Area, Germany’s third-largest metropolitan area, and a metropolitan city-region (i.e., foodshed). Brandenburg is formed by 14 districts plus 4 free district cities (Figure 1).
The agricultural land accounts for 45% of Brandenburg’s area, of which 75% is arable land. Nearly two-thirds of this is formed by sandy- and sandy-loam-texture soils, with a water holding capacity of less than 140 mm [49]. Brandenburg’s annual precipitation is 591 mm year−1, which is relatively low in comparison to the 750 mm year−1 average of the country [50]. These two factors, low water holding capacity and low annual rainfall make the agricultural activity difficult since the majority of the crops are rain-fed.
b)
Soil quality categories based on the M-SQR system
To determine the soil quality—or, inversely, the marginality—we applied the Muencheberg Soil Quality Rating (M-SQR) system [51] as a tool to ascertain the marginal land in Brandenburg. The M-SQR is a model developed at the Leibniz Centre for Agricultural Landscape Research (ZALF), which is designed based on 8 basic criteria as well as at least 12 hazard factors addressing features of soil texture, structure, topography, and climate. The scores are conducted using visual soil assessment methods and are supported by monthly climate data. A site manual is also used to offer scores based on indicator levels. Ultimately, the highest quality soil receives 100 and a score of 0 goes to the least favorable soil for agricultural activities. This rating is a long-term soil quality indicator that provides a reasonable estimate of the ability of the soil for delivering specific local crop yields. In detail, it divides the soil quality into 5 classes: 1) of <20 = Very poor, 2) 20–40 = Poor, 3) 40–60 = Moderate, 4) 60–80 = Good, and 5)> 80 = High. The M-SQR scores are limited to the suitability of the soil for crop and grazing. This method mainly focuses on the production of rain-fed crops in temperate zones [51]. Land accounting for an M-SQR < 40 can be considered as marginal land in terms of agricultural land use [32].
To select the marginal land in Berlin and Brandenburg, we applied the M-SQR in Geographic Information System (GIS) and depicted the map of the soil quality of the study area (Figure 2). The map shows the contrast in the soil quality between the different states of Germany, especially in the middle and the south, and Brandenburg, having the least amount of high-quality soil in the country (blue color in Figure 2). Furthermore, nearly half of the arable land (45%) in Brandenburg is considered as poor-quality, which can be classified as marginal land, and only 11% considered as good- or high-quality soil for agriculture (Figure 2B). In Germany, however, only 25% of arable land is considered as marginal land, where more than half the land is regarded as good-quality soil (51% with M-SQR over 60) (Figure 2A).

2.2. Calculation of the Potential Energy Production

a)
Potential energy production from maize for biogas
To visualize the spatial distribution of maize for biogas production as an example of the current bioenergy strategy, we created the map of the silage maize for biogas production in Brandenburg. Thereby we used, the Integrated Administration and Control System (IACS) (“Integriertes Verwaltungs- und Kontrollsystem,” InVeKoS, Brandenburg, Germany) database, to extract data on agricultural land and products. IACS provides spatially specific data at the land parcel level, such as crop type and planted area, providing for the analysis of spatial land-use trends. According to the IACS database (dataset 2018), there are four different maize categories in Brandenburg in total covering 212,144 ha land, which accounts for about 20% of the whole arable land in Brandenburg. In detail this included silage maize for biogas (34,682 ha), maize as fodder (106,418 ha), maize with wild boar hunting (51,324 ha), and maize without silage (19,720 ha).
We estimated the potential electricity generation of silage maize from the database of bioenergy in Germany [12] to be 18,731 kWh for 50 tons of fresh matter of silage maize. Therefore, we estimated that on average, 10,864 kWh electricity can be generated per hectare of arable land in Brandenburg under the cultivation of silage maize, considering its relatively low yield of 29 t FM ha−1yr−1 in the past five years [52]. To estimate the primary energy (i.e., energy contained in raw fuels that has not been subjected to any human engineered conversion process) [53] of silage maize, we considered the conversion factor given by [12] for combined heat and power (CHP), suggesting that 38% of the primary energy is expected to be converted to electricity.
b)
Potential energy production from Miscanthus
There are only a small number of Miscanthus fields in Brandenburg. According to the IACS database, there is about 75 ha of Miscanthus in the study area. We chose two existing farms to be named here, farm A and farm B, due to data privacy issues, as examples of Miscanthus fields since there has been a recent study by [54] on the yield performance of different energy crops in this area, including Miscanthus. More importantly, in this area, the soil quality is identified as poor in the M-SQR map, thus making it suitable as a representative of Miscanthus’ performance in Brandenburg soils (M-SQR < 40), and the data on yields serve, therefore, to estimate its potential energy production under these poor soils. We estimated the yield of Miscanthus based on the average yield over the entire 20 years cultivating the span of the crop. This includes the first 2 years-establishment phase in which there is no harvest available. Then, taking these two years into account, the average yield is calculated based on the mean yield of the third and fourth years, times 18 years of production and divided into the 20 years of the cultivation period (Equation (1)). Furthermore, since the leaves will have fallen by the winter harvest, they will remain on the field and serve as mulch on the soil surface and eventually go back into the soil as organic matter. The stems, therefore, are the only biomass that is usually harvested for bioenergy production.
Y 20 ( t   D M   h a 1 y r 1 ) = Y 3 4 20   × 18
The average yield of Miscanthus Y 20 is based on 20 years of productivity. Y3−4 is the average yield of the third and fourth years in tones of dry matter per hectare and year (t DM ha−1 yr−1).

2.3. Food Self-Sufficiency Assessment for the Berlin-Brandenburg City Region and Scenarios

This section aims to estimate the potential bioenergy production under different scenarios (forecasting) by using only the available area for bioenergy crops (AAB) (i.e., excluding the area needed to meet 100% self-sufficiency of the Berlin-Brandenburg population). The assessment of the food self-sufficiency has been carried out by using the Metropolitan Foodshed and Self-sufficiency Scenario (MFSS) model [55]. We have updated the results found by [55] for the Berlin-Brandenburg foodshed and used them as the starting point of our study. For this study, three scenarios have been selected depending on the consumption pattern and population (Table 1).
Briefly, we have estimated the area demand (i.e., area required to feed the population of the foodshed) and, then, after selecting the utilizable agricultural area (UAA) (i.e., the area suitable for agriculture and livestock), the food self-sufficiency is estimated as a percentage. The results show that for all the scenarios, self-sufficiency achieves 100% (Table 2). Therefore, the AAB would be the remaining area for each scenario (Equation (2)):
A A B = U A A A d e m a n d
where AAB is the available area for planting bioenergy crops (ha), UAA is the total utilizable agricultural area (ha) and Ademand is the area required to feed the population (ha), according to the specific diet and size of population.

2.4. Spatial Analysis

ArcGIS (10.5.1) (ESRI, Redlands, CA, USA) has been used either for the self-sufficiency assessment (more information on this in [55]) and for identifying the current existing maize and Miscanthus fields in Brandenburg, as well as for identifying and measuring the total surface of the soils with the lowest fertility properties.

3. Results

3.1. Current Bioenergy Production from Maize Plantations in Brandenburg

In Figure 3A, the location of silage maize fields for biogas is shown. After the spatial assessment, we found that 53% of maize for biogas production is being cultivated on fertile land (>40 M-SQR). More specifically, 43% of the maize is planted on moderate-quality soil (M-SQR between 40 and 60), 7% on good-quality soil (M-SQR between 60 and 80), and 3% on high-quality soil (M-SQR > 80). On the contrary, 47% of the silage maize for biogas is located in poor soil (M-SQR < 40) (Figure 3C).
Regarding the specific location of the maize plantations in Brandenburg, the districts accounting for the highest UAA of maize for biogas are Prignitz (8424 ha), Ostprignitz-Ruppin (6526 ha), and Märkisch-Oderland (4338 ha) (Figure 3B). Therefore, the districts in the North-West and Central-East of Brandenburg accounted for the highest proportion of maize for biogas plantations, being planted mainly under moderate-quality soil (green color). On the other hand, the district of Märkisch-Oderland presents some cultivation under good quality soils (pink color). Finally, some fields are also located in the area of high-quality soil (blue color), mainly in Teltow-Fläming.
In summary, the spatial assessment shows that more than half of the silage maize cultivation for biogas production occurs on soils of moderate-to-good quality.

3.2. Calculation of the Energy Potential and Available Area for Bioenergy (AAB)

a)
Maize for biogas
To estimate the energy potential of silage maize for biogas production in Brandenburg, we assumed the average yield of silage maize as the mean of the yield during the last 5 years (2015–2019), amounting to 29 t ha−1yr−1 (35% dry matter) [52]. To calculate the energy produced per hectare from silage maize in Brandenburg, we applied the conversion factor reported by [56], reporting that 50 t FM (fresh matter) of silage maize is estimated to generate 18,731 kWh electricity. It is assumed that this is 38% of the primary energy that could be converted to electricity in a CHP (combined heat and power) biogas plant. Therefore, we estimate that the primary energy of silage maize for 50 t FM would be around 49,292 kWh. Consequently, 1 ton of FM silage maize would have an energy potential of 986 kWh. Considering the estimated yield of 29 t ha−1yr−1 and the conversion factor (energy generated per hectare), we estimate the primary energy of silage maize to be 28,589 kWh ha−1, which could generate 10,863 kWh ha−1 electricity in Brandenburg (Table 3).
b)
Miscanthus
On the other hand, we calculated the yield of Miscanthus in Brandenburg soil quality by applying Equation (1), obtaining a value of 13.5 t DM ha−1 yr−1, which is 30% lower than the yield reported by [57] for Germany, which estimates a yield of 19 t DM ha−1 yr−1.
According to [58], 1 ton of dry matter of Miscanthus biomass produces around 2055 kWh (18.5 GJ) of energy. Therefore, after applying this conversion factor to the estimated average yield of Miscanthus in Brandenburg obtained previously, the potential energy per hectare is estimated to be 69,363 kWh ha−1 (250 GJ ha−1) (Table 3).

3.3. Assessment of the Required Area for Planting Miscanthus and Maize According to Brandenburg’s Bioenergy Goal for 2030 (Backcasting)

To assess the feasibility of achieving Brandenburg’s bioenergy goal for 2030 (58 PJ), the backcasting methodology has been applied. In other words, the area required for maize and Miscanthus to meet this goal is estimated considering the energy factors for each crop already calculated (Table 4).
After calculating the potential energy production of each crop based on the crop yield and the energy yield in Brandenburg (Table 3), we estimate that the area required to meet the bioenergy goal would be 568,672 ha for maize and 232,000 ha for Miscanthus (Table 4). Thus, these results suggest that the area required to meet the bioenergy goal of Brandenburg for 2030 under silage maize would be around 2.5 times higher than the estimated area for Miscanthus.

3.4. Assessment of Potential Bioenergy Production from Miscanthus and Maize Using the Available Area for Bioenergy Production (Forecasting)

After running the MFSS model, the area required for achieving 100% food self-sufficiency was subtracted from the total UAA (Equation (2)) and the remaining agricultural area (i.e., area for agricultural use but not necessary to achieve 100% of food self-sufficiency) can be considered as the AAB and amounts to the highest value (428,666 ha) for the scenario considering conventional diets from regional and non-regional food in 2015 (BAU_15), followed by the same type of scenario, but in this case considering the projected population for 2030 (BAU_30) to amount to 389,690 ha (Table 5). However, the differences between these two scenarios were only around 10% for both area and energy produced. In the case of the scenario considering only organic and regional diets in 2030 (ORG_30), values were around half of that amounted in the BAU_30, where diets are conventional and food comes from regional and non-regional sources (Table 5).
Regarding the differences between the bioenergy potential of maize and Miscanthus, in all cases, Miscanthus amounted to a higher potential of energy value than maize, in the same proportion as the energy/ha factor for each crop calculated previously (Table 5).

3.5. Estimation of Soil Organic Carbon (SOC) Sequestration

Miscanthus, as a perennial crop, has positive effects on SOC dynamics, especially after the third year, when it is considered to achieve the commercial yield level. These positive effects are especially visible when shifting from conventional arable crops to Miscanthus. In this sense, it has been estimated that up to 1.1 t C ha−1 yr−1 could be sequestered by substituting conventional arable crops by Miscanthus [59]. Considering this C sequestration rate and that all the AAB is converted to be planted with Miscanthus, it would be possible to give an estimation on the potential C that could be sequestered in the soils of Brandenburg after planting Miscanthus. Importantly, the AAB selected for the study comprises only the area accounting for an M-SQR < 40. The M-SQR system does not consider pastures, since it only qualifies arable land. Therefore, the change in the management would always be from arable to perennial crops. This specification is of high importance, since the conversion of pastures to perennial crops might lead to SOC losses instead of gains.
The highest C sequestration is achieved in those scenarios accounting for the highest AAB. Therefore, the scenarios considering conventional diets in 2015 and 2030 were found to achieve the highest SOC sequestration potential (1.5–1.7 million tones CO2 per year). However, when shifting to more organic and regional diets, the AAB significantly decreases and so the SOC sequestration potential, to around half of the value achieved for the conventional diets (0.8 million tons CO2 per year), whereas for the scenario considering organic diets from domestic sources and imports, no SOC sequestration potential is achieved (Table 6).
Finally, in the backcasting scenario, it was ascertained that if only Miscanthus was planted to achieve the goal of 58 PJ, a total of around 0.9 million tons of CO2 per year would be sequestered into the soils (Table 6).

4. Discussion

a)
The potential of Miscanthus to achieve Brandenburg’s bioenergy goals and avoiding competition for land to secure food self-sufficiency for the Berlin-Brandenburg population.
By allocating 74.4% of agricultural land to food production based on the food self-sufficiency baseline scenario (BAU_30), the state would afford to assign the other 25.6% of its agricultural land for bioenergy crop cultivation. Therefore, by 2030, there would be around 389,690 ha (AAB), which implies that the maximum amount of arable land may be allocated for bioenergy production (Table 5). To reach the 2030 bioenergy goal with maize as the main energy crop, the state would require 568,627 ha of land, while under Miscanthus, only 232,000 ha would be needed. Otherwise stated, under the cultivation of Miscanthus, Brandenburg would require around 2.5 times less the amount of land in comparison with silage maize. Hence, a transition from maize to Miscanthus could spare about 337,000 ha.
Considering the 2030 AAB as 389,690 ha, in the BAU scenario (BAU_30) of bioenergy production, silage maize as the main energy crop would only be able to provide 40.1 PJ of energy, which is only 69% of the bioenergy target of 2030 (Table 5). On the other hand, substituting Miscanthus as the main biomass crop would lead to much higher energy production besides the numerous positive environmental effects that this crop would bring. Because Miscanthus’ yield is considerably higher than that of maize (almost by 2.5 times) (Table 3), shifting toward a Miscanthus plantation could provide nearly twice the 2030 target (117 PJ energy) (Table 5). This means substituting maize with Miscanthus as the main energy crop could boost energy production by 245%, which can be relied on marginal land, as opposed to the current system, where almost 52% of biogas-maize cultivation is being planted on fertile land (Figure 3). Therefore, this shift not only could release productive land for food production while achieving food self-sufficiency, but could also produce double the energy of 2030 bioenergy targets.
Therefore, when keeping the same dietary patterns and considering the population growth until 2030, our results suggest that the selected pathway (BAU_30) would be suitable for achieving Brandenburg’s bioenergy potential goal and at the same time avoid competition for land. However, when shifting to organic and regional diets (ORG_30), the AAB would not be enough to achieve the goal.
b)
The importance of allocating bioenergy crops in marginal lands
One of the objectives of this study was to demonstrate the importance of spatial land resource allocation in sustainable development. Even though Brandenburg has a considerable amount of arable land, soil fertility is relatively low (45% classified as poor soil) and therefore, it is crucial to assign land for the best possible use. Our results suggest that with silage maize is the main bioenergy crop, the 2030 Brandenburg energy targets would not be reached unless the 568,627 ha land is allocated for bioenergy production (Table 5). However, to achieve 100% of food self-sufficiency by 2030 in the Berlin-Brandenburg region 1,132,611 ha arable land would be required (Table 2). Therefore, considering imposing no further land-use change, the available area for bioenergy production without affecting regional production to achieve 100% food self-sufficiency would be only around 389,690 ha (Table 5), which is only 68% of the required land for achieving 2030 bioenergy targets under the current silage maize scenario.
According to [60], defining marginal land is complex due to changes in land use and socio-economic impacts. Marginal land may be include a transitional phase of land resources, which is very susceptible to natural processes and different managements. The authors argue that the allocation of resources and the management practices can play an undeniable role in the productivity of land in which mismanagement of productive land may trigger soil degradation and in the long run, result in low productivity of the land, whereas marginal land can be improved and restored to a better quality level in the case of implementing sustainable management practices. Because Miscanthus is a perennial crop with a great ability to restore SOC levels, it can be expected that by allocating marginal land to Miscanthus production, the SOC depletion may be prevented and, in the long term, soil fertility properties would be improved.
Miscanthus is relatively tolerant of several environmental stressors, primarily salinity, drought, and flooding [57,61]. This special resilience encourages the growth of this perennial high yielding grass on marginal land [62]. Miscanthus plantation on suitable marginal land is regarded to have enormous potential to boost energy protection and to reduce GHG emissions. However, there is still a range of restrictions to the utilization of this capacity to the full. The major drawback is the confusion regarding the existence of the required marginal land owing to increased demand from other uses, such as land reclamation for food crops or other bioenergy crops [63,64].
Due to the high importance of defining and locating the marginal land in Brandenburg, maps of marginal land were created based on the M-SQR Index (Figure 2). Based on the assessment of [51], marginal land could be considered those soils resulting in an M-SQR level lower than 40. Therefore, according to the results and based on the currently available literature, soils under this value should be allocated for Miscanthus production and they should not be allocated for commercial food production.
To alleviate the land competition between food and energy crop production, cultivating bioenergy crops on marginal land should be considered as a suitable land policy. In the current policy scenario, however, 53% of maize as the main energy crop is being cultivated in fertile soil.
c)
The importance of regional food production
Recent concerns about climate change have triggered further justification for local and regional food systems [65,66]. Such issues have included the externalities of long-distance shipping of food and the vulnerability of centralized food production to climate change. Regional and organic food agricultural systems are continuously being considered as a significant step toward a more sustainable future [67]. Increased public awareness in linkages between food, safety, and the environment has driven rapid growth in regional and local food system projects. The associated improvement in the relevant scientific research has come alongside local development [68].
In the beginning of 2020, the COVID-19 has caused a global health and economic crisis, which has also led to an exacerbation in food security and a food crisis in many countries. In fewer than three months, COVID-19 has exposed risks, instabilities, and inequities in global food processes and has brought them to the point of collapse. The COVID-19 pandemic, along with lockdowns, has shown the fragility of the current food system and the dependency on global food supply chains [69]. In these turbulent times, food self-sufficiency can play an essential role since it has direct benefits for the capacity of a country or region to fulfill the nutritional needs of the people independently, despite the external situations [70]. Therefore, the concept of self-sufficiency can bring resilience to the food system and should be prioritized over bioenergy production. For this reason, in this study, the starting point of the calculation of the AAB is the remaining area after calculating the area needed to achieve 100% of food self-sufficiency in the Berlin-Brandenburg region.
d)
Environmental benefits and ecosystem services provided by Miscanthus
Miscanthus can be a multifunctional crop that not only offers a great amount of energy but also provides and supports other ecosystem services (ES) (Figure 4). In this section, these will be discussed and estimated values will be given for some of them (underlined ecosystem services in Figure 4). In this study, we specifically estimated the energy and food production (provisioning ES), C sequestration, and CO2 mitigation potential of Miscanthus (regulating ES).
1)
Provisioning Services: Energy and Food
According to our results, under Miscanthus, each hectare of marginal lands in Brandenburg can generate 250 GJ of energy (Table 3). This would allow the region to allocate more land for food production by up to 100% self-sufficiency (Table 2). Therefore, Miscanthus would provide energy, achieving Brandenburg’s bioenergy goal (direct provision of ES) and would avoid competition for land with food production (indirect provision of ES).
2)
Supporting Services
  • Soil restoration (soil formation, nutrient cycling, and water cycling)
The low requirements in agrochemical inputs make Miscanthus fields more environmentally friendly by reducing the common damage caused by these substances used in conventional farming. For the same reason, Miscanthus has been reported to reduce the negative impacts of conventional agricultural activities on groundwater resources (by reducing N runoffs). On the other hand, the relatively high above- and below-ground biomass production has led to high incoming organic C in the soil (leaves on the soil surface and rhizodeposition processes), thus increasing the SOC content and leading to an improvement in the soil quality [71,72,73].
  • Biodiversity
Studies have shown the positive effects of Miscanthus on biodiversity. Miscanthus can provide structural resources to agricultural landscapes, offer shelter, and improve the temporal variability that is obtained in different seasons by various bird species [74,75,76]. It increases the number and diversity of earthworms in arable land, similar to grasslands. Furthermore, [77] showed a considerable increase in bird species diversity in Miscanthus fields as well as a greater abundance of mammals, compared with arable lands, which cannot provide as much shelter as in the case of perennial crops allowing the growth of wild vegetation. These authors also assessed the diversity and abundance of invertebrates and revealed that “ground beetles, butterflies, and arboreal invertebrates were more abundant and diverse in the most floristically diverse Miscanthus fields” [78].
The spike in maize production in Brandenburg results in a reduction of the habitat area of bird species, such as corn bunting by 28.2% and Skylark by 21.3%. Miscanthus cultivation can be a suitable alternative to not only mitigate the loss of biodiversity, but also to foster it by providing shelter for them [49]. This specific characteristic of Miscanthus plantations allowing the growth of non-crop plant species could be of critical importance to increase the diversity of insects, birds, and small mammals in Brandenburg.
3)
Regulating services: climate regulation
  • Avoiding CO2 emissions from fossil fuel combustion
One tone of dry matter biomass through the pyrolysis process can produce 18.5 GJ energy, which is equal to the energy from one tone of coal [58]. However, the significant contrast is that coal releases 500 kg C to the atmosphere while Miscanthus only recycles it. According to our results, each hectare of Miscanthus in the marginal land of Brandenburg has 250 GJ of energy potential production (Table 3). Therefore, Miscanthus could save around 6,750 kg C ha−1 compared to coal.
  • Soil organic carbon (SOC) sequestration
In this study, we calculated the Miscanthus potential for SOC accumulation and the associated sequestered CO2 in soil under the different scenarios selected for the assessment (Table 6). According to [59], an average SOC sequestration rate after planting Miscanthus would be around 1.1 t C ha−1 yr−1. Since Miscanthus is mowed once a year, the effect on SOC sequestration can be compared to the effect of cover crops that are planted in the inter-row area of some woody crops. In this line, this value is very close to the 0.78 and 1.1 t C ha−1 yr−1 found by [79] in a meta-analysis for cover crops/spontaneous plant cover in vineyards and olive orchards, respectively, and the range of the 0.7–2.2 t C ha−1 yr−1 estimated by [74] for Miscanthus in the UK. An increase of 1.1 t C ha−1yr−1 would imply the sequestration of 4.0 t CO2 ha−1yr−1. Considering the cultivation of Miscanthus in AAB without affecting food production (389,690 ha) (Table 5), if all this area was planted with Miscanthus, the CO2 sequestration rate would be around 1.6 million t CO2 ha−1 yr−1.
However, these numbers must be taken carefully, since the organic carbon sequestration in soil is limited and is dependent on the soil texture [80] and the C sequestration rate decreases over time as the SOC content reaches the steady-state (i.e., equilibrium) [79,81]. On the other hand, not all the SOC would be really “sequestered” into the soil, since part of the accumulated SOC would be easily accessible to the microorganisms, thus being rapidly and easily mineralized (i.e., released into the atmosphere as CO2). Although there is a high level of uncertainty, the proportion of this non-protected SOC would range between 20–40% of the total accumulated SOC [82].
Actual levels of SOC in Brandenburg are relatively low and combine with the sandy texture, resulting in a soil poor quality (Figure 2B) (i.e., M-SQR < 40). However, precisely this very low SOC content (i.e., high SOC saturation deficit) leads to a high potential for SOC sequestration [80]. SOC accumulation rate is inversely proportional to the actual SOC content. In other words, the lower the SOC content is, the faster is the accumulation. Therefore, if Miscanthus is planted in the poor soils of Brandenburg, a rapid increase in the SOC is expected. However, the SOC saturation limit is expected to be lower due to the lower content of clay [80,83]. Therefore, during the first years after planting Miscanthus, the C sequestration rate of 1.1 t C ha−1 yr−1 might be reliable. More uncertainty remains over time, as SOC content increases.
4)
Other regulating services: Water regulation and pollination
Studies have shown that in comparison to maize fields, N leaching is considerably lower under unfertilized Miscanthus [74,84,85]. Leaching can be exacerbated in sandy soils due to low water-holding capacity [86]. In Brandenburg, this is a very common problem where approximately 85% of the lakes are extremely or severely polluted with nutrients, while significant parts of the banks have been damaged in almost all big still water bodies, and around 90% of the existing stocks of grasses have vanished in several lakes [87]. Therefore, Miscanthus cultivation instead of maize is expected to alleviate water contamination in the region. Moreover, in terms of water efficiency, if Miscanthus was planted instead of maize, one-third of the water could be saved [2]. This is an important issue especially for the next few decades, where climate change is expected to increase water stress in Germany.
Miscanthus is not a preferred source of food for most insects and animals, but for many invertebrates and pollinators, its residues left after harvest and canopy closure shade provide nesting, shelter, and breeding sites [88]. The increase in biodiversity, especially the diversity of insects, as a consequence of the increase in the wild vegetation, would improve the pollination activity in the crops placed in the surrounding areas of Miscanthus fields.
5)
Cultural and socio-economic services
According to [89], the attainable gross margins of producing Miscanthus for combustion would range from 400 to 1600 € ha−1, whereas these values would be somewhat higher, around 1300–2000 € ha−1, in the case of using Miscanthus for biogas production. Another key parameter is the labor requirements (e.g., labor peak seasons) of Miscanthus compared to other annual crops since it could be expected that farmers will not be dedicated entirely to Miscanthus cultivation, but also to other arable crops (cereals or maize). Thus, the labor peaks of the green harvest regime do not coincide with those of the other cereals or intermediate crops. However, some activities of the brown harvest regime overlap with those for other crops, but the only labor peak takes place in March, whereas for the rest of the year, the activity is less intensive. The total labor effort is estimated to be low, as between 4 and 15 h ha−1 for Miscanthus is already established, whereas the highest efforts take place in the establishing year [89]. Therefore, the combination of low peak times in the management of Miscanthus and the low labor requirements lead Miscanthus to be feasible to be combined with the production of other arable crops.
Furthermore, the facilities to transform Miscanthus into energy are also important in terms of quality job creation and population fixation [90,91]. Brandenburg is one of the least densely populated regions in Germany, and under increasing aging that might lead to an increase in land abandonment [92]. The integration of bioenergy crops into the landscape may stimulate the economy of rural areas and thus mitigate the negative impacts of land abandonment [93]. Therefore, to avoid or mitigate this, Miscanthus could be of high relevance.
6)
Limitations of the Study and Future Researches
To examine the sustainability of the current biogas production in Brandenburg on the wider scale of Germany, it is required to have official statistics of the exact amount of each crop, in this case, silage maize, which goes to biogas plants, and the specific locations of these bioenergy farms. However, it must be noted that the total amount of “maize for biogas” planted in Brandenburg is reported as only 34,682 ha, which is expected to be about one-third of the actual area of 110,000 ha, but due to lack of clear official statistics or reports, we only demonstrated and analyzed this amount, which is reported by the official IACS database.
We believe that the application of the backcasting methodology to assess the feasibility of achieving the 2030 bioenergy goal of Brandenburg and integrating it with the food self-sufficiency assessment establishes the first step in the assessment of the regional food–energy nexus and can be the basis for future research focused on some specific issues, like locating potential marginal lands to be planted by Miscanthus or the socio-economic impact of these plantations in the region of Brandenburg.

5. Conclusions

Our study suggests that in order to produce bioenergy while avoiding competition for land with food production, it is important to move toward the 2G bioenergy crops that can be cultivated on marginal land. In Brandenburg, the agricultural land has been massively affected by the cultivation of maize for biogas production (300% increase in the past 10 years), thereby, the scarce productive land of the region has been under maize monoculture production, which has led to negative environmental repercussions (e.g., biodiversity reduction, soil degradation, or land-use change), which would nullify the potential GHG mitigation of bioenergy production. Thus, a shift from maize to Miscanthus as the main bioenergy crop could address almost all the negative environmental externalities caused by maize plantation, due to its perennial character and its low nutrient requirements which allow it to be cultivated on degraded areas.
On the other hand, our findings imply that substituting maize with Miscanthus for bioenergy production can ensure food production by releasing productive land for food production and providing a high yield of dry matter, which results in a reduction of land requirements for bioenergy production and, therefore, achieving the 2030 bioenergy goal of Brandenburg would be possible without negatively affecting the food self-sufficiency and in general the resilience of the food system of the Berlin-Brandenburg area.
Today, the world is experiencing a drastic health and economic crisis due to the emergence of COVID-19. This pandemic has shown the fragility of the world’s food systems, which is dependent upon international and complex food supply chains. This is another reason to highlight the significance of food self-sufficiency for regions and countries, especially in the events that strike food supply chains. Therefore, now more than ever before, food production should be prioritized over bioenergy production, particularly in regards to the allocation of fertile arable land.
Furthermore, the backcasting methodology applied in this study, which is one of the first studies to apply it in a specific study case in Germany, could be valuable to assess the current bioenergy goals and strategies of the state of Brandenburg. This is also reflected in the light of a city-regional food strategy launched by the Berlin Senate, which puts potentially competing pressure on land resources and consequently incentivizes the transformation of the food supply from Brandenburg by, for example, favoring organic and locally grown potatoes and vegetables for public procurement. On a more general level, we consider these trends and observations as indications of a general shift of paradigm, away from standardized global chain-oriented production to regionally tailored quality production oriented to specific individualized demands, or in other words, the transformation from cost competition to quality competition.
The approach and results of our study underline that for such a transition, integrated governance across sectors is required, particularly at state and regional levels, in order to better link bioenergy strategies with agricultural and food sectoral strategies and overarching environmental, climate and innovation strategies (e.g., climate change, biodiversity, agriculture, food production) and to create clear sustainable pathways to be achieved in 2030. Additionally, we believe that coherence between the different European strategies will be needed (e.g., the CAP, Green Deal, From Farm to Fork Strategy, or the 2030 Biodiversity Strategy).

Author Contributions

Conceptualization, A.P., J.L.V.-V., E.T.-H. and K.M.; validation, A.P., J.L.V.-V. and K.M.; formal analysis, E.T.-H. and J.L.V.-V.; resources, A.P.; writing—original draft preparation, E.T.-H., J.L.V.-V. and A.P.; writing—review and editing, A.P., K.M. and J.L.V.-V.; supervision, J.L.V.-V., A.P. and K.M. All authors have read and agreed to the published version of the manuscript.

Funding

This work has been carried out as part of the ongoing Project SUNEX (Formulating sustainable urban FWE strategy by optimizing the synergies between food, water, and energy systems) and as institutionally financed work of the Leibniz-Centre for Agricultural Landscape Research (ZALF) e.V. In the scope of the Belmont Forum and JPI Urban Europe Joint Research Program SUGI/FWE NEXUS (EU Horizon 2020, grant agreement No. 857160), the project SUNEX has received funding from the BMBF in Germany (grant agreement number 033WU003).

Acknowledgments

The authors want to thank the anonymous reviewers for their diligent work and their helpful advice.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Chum, H.; Faaij, A.; Moreira, J.; Berndes, G.; Dhamija, P.; Dong, H.; Gabrielle, B.; Eng, A.G.; Lucht, W.; Mapako, M.; et al. Bioenergy. In Renewable Energy Sources and Climate Change Mitigation: Special Report of the Intergovernmental Panel on Climate Change; Edenhofer, O., Pichs-Madruga, R., Sokona, Y., Seyboth, K., Matschoss, P., Kadner, S., Zwickel, T., Eickemeier, P., Hansen, G., Schloemer, S., et al., Eds.; Cambridge University Press: Cambridge, UK; New York, NY, USA, 2011; pp. 209–332. [Google Scholar]
  2. Zhuang, Q.; Qin, Z.; Chen, M. Biofuel, land and water: Maize, switchgrass or Miscanthus? Environ. Res. Lett. 2013, 8, 15020. [Google Scholar] [CrossRef]
  3. Core Writing Team; Pachauri, R.K.; Reisinger, A. (Eds.) Climate Change 2007: Synthesis Report. Contribution of Working Groups I, II and III to the Fourth Assessment Report of the Intergovernmental Panel on Climate Change; IPCC, WMO: Geneva, Switzerland, 2008. [Google Scholar]
  4. Schorling, M.; Enders, C.; Voigt, C.A. Assessing the cultivation potential of the energy crop Miscanthus × giganteus for Germany. Glob. Chang. Biol. Bioenergy 2015, 7, 763–773. [Google Scholar] [CrossRef]
  5. Webb, A.; Coates, D. Biofuels and Biodiversity; CBD Technical Series No. 65; Secretariat of the Convention on Biological Diversity: Montreal, QC, Canada, 2012. [Google Scholar]
  6. Faaij, A. Biomass Resources, Worldwide. In Encyclopedia of Sustainability Science and Technology; Meyers, R.A., Ed.; Springer: New York, NY, USA, 2019; pp. 1–53. [Google Scholar]
  7. Delucchi, M.A. Impacts of biofuels on climate change, water use, and land use. Ann. N. Y. Acad. Sci. 2010, 1195, 28–45. [Google Scholar] [CrossRef]
  8. Popp, J.; Lakner, Z.; Harangi-Rákos, M.; Fári, M. The effect of bioenergy expansion: Food, energy, and environment. Renew. Sustain. Energy Rev. 2014, 32, 559–578. [Google Scholar] [CrossRef] [Green Version]
  9. Brendes, G.; Bird, N.; Cowle, A. Bioenergy, Land Use Change and Climate Change Mitigation Background Technical Report; Technical Report NO. IEA Bioenergy: ExCo: 2010:03; IEA Bioenergy: Rotorua, New Zealand, 2010; Available online: http://www.ieabioenergy.com/wp-content/uploads/2013/10/Bioenergy-Land-Use-Change-and-Climate-Change-Mitigation-Background-Technical-Report.pdf (accessed on 5 May 2020).
  10. Kandziora, M.; Dörnhöfer, K.; Oppelt, N.M.; Müller, F. Detecting land use and land cover changes in Northern German agricultural landscapes to assess ecosystem service dynamics. Landsc. Online 2014, 35, 1–24. [Google Scholar] [CrossRef]
  11. Theuerl, S.; Herrmann, C.; Heiermann, M.; Grundmann, P.; Landwehr, N.; Kreidenweis, U.; Prochnow, A. The Future Agricultural Biogas Plant in Germany: A Vision. Energies 2019, 12, 396. [Google Scholar] [CrossRef] [Green Version]
  12. FNR. Basisdaten Bioenergie Deutschland 2019; German Ministry for food and agriculture: Berlin, Germany, 2019; Available online: https://www.fnr.de/fileadmin/allgemein/pdf/broschueren/basisdaten_bioenergie_2019_web.pdf (accessed on 10 January 2020).
  13. Grundmann, P.; Ehlers, M.-H.; Uckert, G. Responses of agricultural bioenergy sectors in Brandenburg (Germany) to climate, economic and legal changes: An application of Holling’s adaptive cycle. Energy Policy 2012, 48, 118–129. [Google Scholar] [CrossRef]
  14. Komarek, A.M.; Koo, J.; Haile, B.; Msangi, S.; Azzarri, C. Trade-offs and synergies between yield, labor, profit, and risk in Malawian maize-based cropping systems. Agron. Sustain. Dev. 2018, 38, 1–10. [Google Scholar] [CrossRef] [Green Version]
  15. Nakata, G.T. Mono-a-Mono: The Threat of Today’s “Green Deserts” to Tomorrow’s Food Production. Available online: https://www.nature.org/en-us/what-we-do/our-insights/perspectives/todays-green-deserts-to-tomorrows-food-production/ (accessed on 27 March 2020).
  16. Tissier, M.L.; Handrich, Y.; Robin, J.-P.; Weitten, M.; Pevet, P.; Kourkgy, C.; Habold, C. How maize monoculture and increasing winter rainfall have brought the hibernating European hamster to the verge of extinction. Sci. Rep. 2016, 6, 25531. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  17. Aguilar, J.; Gramig, G.G.; Hendrickson, J.R.; Archer, D.W.; Forcella, F.; Liebig, M.A. Crop Species Diversity Changes in the United States: 1978–2012. PLoS ONE 2015, 10, e0136580. [Google Scholar] [CrossRef]
  18. Butler, S.J.; Vickery, J.A.; Norris, K. Farmland biodiversity and the footprint of agriculture. Science 2007, 315, 381–384. [Google Scholar] [CrossRef] [PubMed]
  19. Wendland, F.; Albert, H.; Bach, M.; Schmidt, R. Potential nitrate pollution of groundwater in Germany: A supraregional differentiated model. Environ. Geol. 1994, 24, 1–6. [Google Scholar] [CrossRef]
  20. Mosier, A.; Syers, J.K.; Freney, J.R. (Eds.) Agriculture and the Nitrogen Cycle. Assessing the Impacts of Fertilizer Use on Food Production and the Environment; Island Press: Chicago, IL, USA, 2013; Available online: https://www.goodreads.com/book/show/6490505-agriculture-and-the-nitrogen-cycle (accessed on 15 October 2019).
  21. Byrnes, B.H. Environmental effects of N fertilizer use? An overview. Fertil. Res. 1990, 26, 209–215. [Google Scholar] [CrossRef]
  22. European Commission. EU Biodiversity Strategy for 2030. 2020. Available online: https://ec.europa.eu/environment/nature/biodiversity/strategy/index_en.htm (accessed on 9 September 2020).
  23. Naik, S.N.; Goud, V.V.; Rout, P.K.; Dalai, A.K. Production of first and second generation biofuels: A comprehensive review. Renew. Sustain. Energy Rev. 2010, 14, 578–597. [Google Scholar] [CrossRef]
  24. Naylor, R.L.; Liska, A.J.; Burke, M.B.; Falcon, W.P.; Gaskell, J.C.; Rozelle, S.D.; Cassman, K.G. The Ripple Effect: Biofuels, Food Security, and the Environment. Environment. Sci. Policy Sustain. Dev. 2007, 49, 30–43. [Google Scholar] [CrossRef] [Green Version]
  25. Hein, L.; Leemans, R. The impact of first-generation biofuels on the depletion of the global phosphorus reserve. Ambio 2012, 41, 341–349. [Google Scholar] [CrossRef] [Green Version]
  26. Gasparatos, A.; Stromberg, P. Socioeconomic and Environmental Impacts of Biofuels. Evidence from Developing Nations; Cambridge University Press: Cambridge, UK; New York, NY, USA, 2012. [Google Scholar]
  27. Boddiger, D. Boosting biofuel crops could threaten food security. Lancet 2007, 370, 923–924. [Google Scholar] [CrossRef]
  28. Roser, M.; Ritchie, H.; Ortiz-Ospina, E. World Population Growth; Our World in Data: Oxford, UK, 2013; Available online: https://ourworldindata.org/world-population-growth (accessed on 22 September 2019).
  29. McLeod, A. World livestock 2011; Food and Agriculture Organization of the United Nations: Rome, Italy, 2012. [Google Scholar]
  30. Skevas, T.; Hayden, N.J.; Swinton, S.M.; Lupi, F. Landowner willingness to supply marginal land for bioenergy production. Land Use Policy 2016, 50, 507–517. [Google Scholar] [CrossRef]
  31. Feng, Q.; Chaubey, I.; Cibin, R.; Engel, B.; Sudheer, K.P.; Volenec, J.; Omani, N. Perennial biomass production from marginal land in the Upper Mississippi River Basin. Land Degrad Dev. 2018, 29, 1748–1755. [Google Scholar] [CrossRef]
  32. Gerwin, W.; Repmann, F.; Galatsidas, S.; Vlachaki, D.; Gounaris, N.; Baumgarten, W.; Volkmann, C.; Keramitzis, D.; Kiourtsis, F.; Freese, D. Assessment and quantification of marginal lands for biomass production in Europe using soil-quality indicators. SOIL 2018, 4, 267–290. [Google Scholar] [CrossRef] [Green Version]
  33. Anderson, E.; Arundale, R.; Maughan, M.; Oladeinde, A.; Wycislo, A.; Voigt, T. Growth and agronomy of Miscanthus x giganteus for biomass production. Biofuels 2011, 2, 71–87. [Google Scholar] [CrossRef]
  34. Westensee, D.K.; Rumbold, K.; Harding, K.G.; Sheridan, C.M.; van Dyk, L.D.; Simate, G.S.; Postma, F. The availability of second generation feedstocks for the treatment of acid mine drainage and to improve South Africa′s bio-based economy. Sci. Total Environ. 2018, 637–638, 132–136. [Google Scholar] [CrossRef] [PubMed]
  35. Vries, S.C.D.; Ven, G.W.J.V.D.; Ittersum, M.K.V. First or second generation biofuel crops in Brandenburg, Germany? A model-based comparison of their production-ecological sustainability. Eur. J. Agron. 2014, 52, 166–179. [Google Scholar] [CrossRef]
  36. Peer, M.S.; Skye, R.T.; Stephens, E.; Ute, C.M.; Jan, H.M.; Posten, C.; Kruse, O.; Hankamer, B. Second Generation Biofuels: High-Efficiency Microalgae for Biodiesel Production. Bioenergy Res. 2008, 1, 20–43. [Google Scholar] [CrossRef]
  37. Havlík, P.; Schneider, U.A.; Schmid, E.; Böttcher, H.; Fritz, S.; Skalský, R.; Aoki, K.; Cara, S.D.; Kindermann, G.; Kraxner, F.; et al. Global land-use implications of first and second generation biofuel targets. Energy Policy 2011, 39, 5690–5702. [Google Scholar] [CrossRef]
  38. Caslin, B.; Finnan, J.; Easson, L. Miscanthus Best Practice Guidelines 2010. Available online: https://www.agriculture.gov.ie/media/migration/ruralenvironment/environment/bioenergyscheme/MiscanthusBestPracticeManual190913.pdf (accessed on 21 December 2019).
  39. Miscanthus Growers’ Handbook. 2007. Available online: https://www.google.com/url?sa=t&rct=j&q=&esrc=s&source=web&cd=&ved=2ahUKEwjOoNed6O_rAhUE-6QKHTm4CHcQFjAAegQIBBAB&url=https%3A%2F%2Fwww.forestresearch.gov.uk%2Fdocuments%2F2055%2FFR_BEC_Planting_and_growing_Miscanthus_2007.pdf&usg=AOvVaw23qU40UaBae4obQ5UiZ4xv (accessed on 10 November 2019).
  40. Kiesel, A.; Wagner, M.; Lewandowski, I. Environmental Performance of Miscanthus, Switchgrass and Maize: Can C4 Perennials Increase the Sustainability of Biogas Production? Sustainability 2017, 9, 5. [Google Scholar] [CrossRef] [Green Version]
  41. Greef, J.M.; Deuter, M. Syntaxonomy of Miscanthus x giganteus GREEF et DEU. Angew. Bot. 1993, 67, 87–90. [Google Scholar]
  42. Brosse, N.; Dufour, A.; Meng, X.; Sun, Q.; Ragauskas, A. Miscanthus: A fast-growing crop for biofuels and chemicals production. Biofuels, Bioprod. Biofuels Bioprod. Bioref. 2012, 6, 580–598. [Google Scholar] [CrossRef]
  43. Mishra, U.; Torn, M.S.; Fingerman, K. Miscanthus biomass productivity within US croplands and its potential impact on soil organic carbon. GCB Bioenergy 2013, 5, 391–399. [Google Scholar] [CrossRef]
  44. Nijsen, M.; Smeets, E.; Stehfest, E.; van Vuuren, D.P. An evaluation of the global potential of bioenergy production on degraded lands. GCB Bioenergy 2012, 4, 130–147. [Google Scholar] [CrossRef]
  45. Lal, R. Soil carbon sequestration impacts on glob. Climate change and food security. Science 2004, 304, 1623–1627. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  46. Clifton-brown, J.C.; Stampfl, P.F.; Jones, M.B. Miscanthus biomass production for energy in Europe and its potential contribution to decreasing fossil fuel carbon emissions. Glob. Chang. Biol. 2004, 10, 509–518. [Google Scholar] [CrossRef]
  47. Emmerling, C.; Pude, R. Introducing Miscanthus to the greening measures of the EU Common Agricultural Policy. GCB Bioenergy 2017, 9, 274–279. [Google Scholar] [CrossRef]
  48. Lewandowski, I.; Clifton-Brown, J.; Trindade, L.M.; van der Linden, G.C.; Schwarz, K.-U.; Müller-Sämann, K.; Anisimov, A.; Chen, C.-L.; Dolstra, O.; Donnison, I.S.; et al. Progress on Optimizing Miscanthus Biomass Production for the European Bioeconomy: Results of the EU FP7 Project OPTIMISC. Front. Plant Sci. 2016, 7, 1620. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  49. Gutzler, C.; Helming, K.; Balla, D.; Dannowski, R.; Deumlich, D.; Glemnitz, M.; Knierim, A.; Mirschel, W.; Nendel, C.; Paul, C.; et al. Agricultural land use changes—A scenario-based sustainability impact assessment for Brandenburg, Germany. Ecol. Indic. 2015, 48, 505–517. [Google Scholar] [CrossRef] [Green Version]
  50. Statista. Average Monthly Temperature 2019/2020 Germany|Statista. Available online: https://www.statista.com/statistics/982472/average-monthly-temperature-germany/ (accessed on 20 March 2020).
  51. Mueller, L.; Schindler, U.; Behrendt, A.; Eulenstein, F.; Dannowski, R. The Muencheberg Soil Quality Rating (SQR). 2007. Available online: https://orgprints.org/30579/ (accessed on 3 October 2019).
  52. Deutsches, M. Yields from Grain Maize and Silage Maize in Germany-Deutsches Maiskomitee e. V. (DMK). Available online: https://www.maiskomitee.de/Fakten/Statistik/Deutschland/Fl%C3%A4chenertr%C3%A4ge (accessed on 5 March 2020).
  53. EIA. Glossary-U.S. Energy Information Administration (EIA). Available online: https://www.eia.gov/tools/glossary/index.php?id=Primary%20energy (accessed on 18 August 2020).
  54. ForBio. Fostering Sustainable Feedstock Production for Advanced Biofuels on underutilised Land in Europe; D2.3 Feasibility Study Germany Agronomic Feasibility; European Commission: Brussels, Belgium, 2018; Available online: https://cordis.europa.eu/project/id/691846 (accessed on 15 December 2019).
  55. Zasada, I.; Schmutz, U.; Wascher, D.; Kneafsey, M.; Corsi, S.; Mazzocchi, C.; Monaco, F.; Boyce, P.; Doernberg, A.; Sali, G.; et al. Food beyond the city–Analysing foodsheds and self-sufficiency for different food system scenarios in European metropolitan regions. City Cult. Soc. 2019, 16, 25–35. [Google Scholar] [CrossRef]
  56. FNR. FNR-Pflanzen: Miscanthus. Available online: https://pflanzen.fnr.de/energiepflanzen/pflanzen/miscanthus/ (accessed on 19 February 2020).
  57. Jones, M.B.; Walsh, M. Miscanthus for Energy and Fibre; James & James: London, UK, 2001. [Google Scholar]
  58. Cannell, M.G.R. Carbon sequestration and biomass energy offset: Theoretical, potential and achievable capacities globally, in Europe and the UK. Biomass Bioenergy 2003, 24, 97–116. [Google Scholar] [CrossRef]
  59. Felten, D.; Fröba, N.; Fries, J.; Emmerling, C. Energy balances and greenhouse gas-mitigation potentials of bioenergy cropping systems (Miscanthus, rapeseed, and maize) based on farming conditions in Western Germany. Renew. Energy 2013, 55, 160–174. [Google Scholar] [CrossRef]
  60. Kang, S.; Post, W.M.; Nichols, J.A.; Wang, D.; West, T.O.; Bandaru, V.; Izaurralde, R.C. Marginal Lands: Concept, Assessment and Management. JAS 2013, 5. [Google Scholar] [CrossRef] [Green Version]
  61. Heaton, E.A.; Dohleman, F.G.; Miguez, A.F.; Juvik, J.A.; Lozovaya, V.; Widholm, J.; Zabotina, O.A.; McIsaac, G.F.; David, M.B.; Voigt, T.B.; et al. Miscanthus. In Advances in Botantical Research; Kader, J.-C., Delseny, M., Eds.; Elsevier Science & Technology Books: San Diego, CA, USA, 2011; pp. 75–137. [Google Scholar]
  62. Lauren, D.Q.; Kaitlin, C.S.; Guo, J.; Kim, S.; Thapa, S.; Kling, G.; Lee, D.K.; Thomas, B.V. Stress-Tolerant Feedstocks for Sustainable Bioenergy Production on Marginal Land. Bioenergy Res. 2015, 8, 1081–1100. [Google Scholar] [CrossRef] [Green Version]
  63. Xue, S.; Lewandowski, I.; Wang, X.; Yi, Z. Assessment of the production potentials of Miscanthus on marginal land in China. Renew. Sustain. Energy Rev. 2016, 54, 932–943. [Google Scholar] [CrossRef]
  64. Zhuang, D.; Jiang, D.; Liu, L.; Huang, Y. Assessment of bioenergy potential on marginal land in China. Renew. Sustain. Energy Rev. 2011, 15, 1050–1056. [Google Scholar] [CrossRef]
  65. Vermeulen, S.J.; Campbell, B.M.; Ingram, J.S.I. Climate Change and Food Systems. Annu. Rev. Environ. Resour. 2012, 37, 195–222. [Google Scholar] [CrossRef] [Green Version]
  66. Clancy, K.; Ruhf, K. Is Local Enough? Some Arguments for Regional Food Systems. Choices 2010, 25. [Google Scholar] [CrossRef]
  67. Feenstra, G.; Campbell, D. Local and Regional Food Systems. Available online: https://humanecology.ucdavis.edu/sites/g/files/dgvnsk161/files/inline-files/Local%20and%20Regional%20Food%20Systems.pdf (accessed on 20 February 2020).
  68. Campbell, D.; Carlisle-Cummins, I.; Feenstra, G. Community Food Systems: Strengthening the Research-to-Practice Continuum. J. Agric. Food Syst. Communitys Dev. 2013, 121–138. [Google Scholar] [CrossRef]
  69. Barrett, C.B. Actions now can curb food systems fallout from COVID-19. Nat. Food 2020, 1, 319–320. [Google Scholar] [CrossRef]
  70. Teixeira, P. COVID-19: A Catalyst for Greater Food Self-Sufficiency? Mycorena AB. Available online: https://mycorena.com/covid-19-a-catalyst-for-greater-food-self-sufficiency (accessed on 7 June 2020).
  71. Cosentino, S.L.; Copani, V.; Scalici, G.; Scordia, D.; Testa, G. Soil Erosion Mitigation by Perennial Species Under Mediterranean Environment. Bioenergy Res. 2015, 8, 1538–1547. [Google Scholar] [CrossRef]
  72. Ruf, T.; Makselon, J.; Udelhoven, T.; Emmerling, C. Soil quality indicator response to land-use change from annual to perennial bioenergy cropping systems in Germany. GCB Bioenergy 2018, 10, 444–459. [Google Scholar] [CrossRef]
  73. Emmerling, C.; Schmidt, A.; Ruf, T.; von Francken-Welz, H.; Thielen, S. Impact of newly introduced perennial bioenergy crops on soil quality parameters at three different locations in W-Germany. J. Plant Nutr. Soil Sci. 2017, 180, 759–767. [Google Scholar] [CrossRef]
  74. McCalmont, J.P.; Hastings, A.; McNamara, N.P.; Richter, G.M.; Robson, P.; Donnison, I.S.; Clifton-Brown, J. Environmental costs and benefits of growing Miscanthus for bioenergy in the UK. Glob. Chang. Biol. Bioenergy 2017, 9, 489–507. [Google Scholar] [CrossRef]
  75. Silviu, O.P.; Dixie, J.; Yapp, E.; Philip, M.W. Bioenergy crops and farmland biodiversity: Benefits and limitations are scale-dependant for a declining mammal, the brown hare. Eur. J. Wildl. Res. 2017, 63, 1–8. [Google Scholar] [CrossRef] [Green Version]
  76. Clapham, S.J. The Abundance and Diversity of Small Mammals and Birds in Mature Crops of the Perennial Grasses Miscanthus × Giganteus and Phalaris Arundinacea Grown for Biomass Energy. Ph.D. Thesis, Cardiff University, Cardiff, UK, 30 March 2016. [Google Scholar]
  77. Semere, T.; Slater, F. Invertebrate populations in miscanthus (Miscanthus × giganteus) and reed canary-grass (Phalaris arundinacea) fields. Biomass Bioenergy 2007, 31, 30–39. [Google Scholar] [CrossRef]
  78. Semere, T.; Slater, F. Ground flora, small mammal and bird species diversity in miscanthus (Miscanthus × giganteus) and reed canary-grass (Phalaris arundinacea) fields. Biomass Bioenergy 2007, 31, 20–29. [Google Scholar] [CrossRef]
  79. Vicente-Vicente, J.L.; García-Ruiz, R.; Francaviglia, R.; Aguilera, E.; Smith, P. Soil carbon sequestration rates under Mediterranean woody crops using recommended management practices: A meta-analysis. Agric. Ecosyst. Environ. 2016, 235, 204–214. [Google Scholar] [CrossRef] [Green Version]
  80. Six, J.; Conant, R.T.; Paul, E.A.; Paustian, K. Stabilization mechanisms of soil organic matter: Implications for C-saturation of soils. Plant Soil 2002, 241, 155–176. [Google Scholar] [CrossRef]
  81. Stewart, C.E.; Paustian, K.; Conant, R.T.; Plante, A.F.; Six, J. Soil carbon saturation: Concept, evidence and evaluation. Biogeochemistry 2007, 86, 19–31. [Google Scholar] [CrossRef]
  82. Vicente-Vicente, J.L.; Gómez-Muñoz, B.; Hinojosa-Centeno, M.B.; Smith, P.; Garcia-Ruiz, R. Carbon saturation and assessment of soil organic carbon fractions in Mediterranean rainfed olive orchards under plant cover management. Agric. Ecosyst. Environ. 2017, 245, 135–146. [Google Scholar] [CrossRef] [Green Version]
  83. Hassink, J. The capacity of soils to preserve organic C and N by their association with clay and silt particles. Plant Soil 1997, 191, 77–87. [Google Scholar] [CrossRef]
  84. Curley, E.M.; O’Flynn, M.G.; McDonnell, K.P. Nitrate Leaching Losses from Miscanthus x giganteus Impact on Groundwater Quality. J. Agron. 2009, 8, 107–112. [Google Scholar] [CrossRef]
  85. Christian, D.G.; Riche, A.B. Nitrate leaching losses under Miscanthus grass planted on a silty clay loam soil. Soil Use Manag. 1998, 14, 131–135. [Google Scholar] [CrossRef]
  86. Zotarelli, L.; Scholberg, J.M.; Dukes, M.D.; Muñoz-Carpena, R. Monitoring of nitrate leaching in sandy soils: Comparison of three methods. J. Environ. Qual. 2007, 36, 953–962. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  87. BMU. Federal Ministry for the Environment, Nature Conservation and Nuclear Safety (BMU): National Strategy on Biological Diversity 2007. Available online: https://www.preventionweb.net/files/12951_brochureikienbf1.pdf (accessed on 25 March 2020).
  88. Nsanganwimana, F.; Pourrut, B.; Mench, M.; Douay, F. Suitability of Miscanthus species for managing inorganic and organic contaminated land and restoring ecosystem services. A review. J. Environ. Manag. 2014, 143, 123–134. [Google Scholar] [CrossRef] [PubMed]
  89. Winkler, B.; Mangold, A.; Cossel, M.v.; Clifton-Brown, J.; Pogrzeba, M.; Lewandowski, I.; Iqbal, Y.; Kiesel, A. Implementing miscanthus into farming systems: A review of agronomic practices, capital and labour demand. Renew. Sustain. Energy Rev. 2020, 132, 110053. [Google Scholar] [CrossRef]
  90. Krück, S.; Joschko, M.; Schultz-Sternberg, R.; Kroschewski, B.; Tessmann, J. A classification scheme for earthworm populations (Lumbricidae) in cultivated agricultural soils in Brandenburg, Germany. J. Plant Nutr. Soil Sci. 2006, 169, 651–660. [Google Scholar] [CrossRef]
  91. EURES. EURES-Labour Market Information-Brandenburg-European Commission. Available online: https://ec.europa.eu/eures/main.jsp?catId=372&acro=lmi&lang=en&countryId=DE&regionId=DE4&nuts2Code=null&nuts3Code=null&regionName=Brandenburg (accessed on 8 September 2020).
  92. Preissel, S.; Zander, P.; Knierim, A. Sustaining Farming on Marginal Land: Farmers’ Convictions, Motivations and Strategies in Northeastern Germany. Sociol. Rural. 2017, 57, 682–708. [Google Scholar] [CrossRef] [Green Version]
  93. Dauber, J.; Cass, S.; Gabriel, D.; Harte, K.; Åström, S.; O’Rourke, E.; Stout, J.C. Yield-biodiversity trade-off in patchy fields of Miscanthus × giganteus. GCB Bioenergy 2015, 7, 455–467. [Google Scholar] [CrossRef]
Figure 1. Location of Germany (green) and Brandenburg (yellow) (left). Districts forming of the Berlin-Brandenburg metropolitan city-region or foodshed (right).
Figure 1. Location of Germany (green) and Brandenburg (yellow) (left). Districts forming of the Berlin-Brandenburg metropolitan city-region or foodshed (right).
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Figure 2. Map of soil quality categories based on the M-SQR index (0–100) for Germany (A) and Brandenburg (B). Soil quality is divided into five classes: (1) of < 20 = Very poor, (2) 20–40 = Poor, (3) 40–60 = Moderate, (4) 60–80 = Good, and (5)> 80 = High. The proportion of soil quality categories in Germany (C) and in Brandenburg (D). Maps of own elaboration based on [51].
Figure 2. Map of soil quality categories based on the M-SQR index (0–100) for Germany (A) and Brandenburg (B). Soil quality is divided into five classes: (1) of < 20 = Very poor, (2) 20–40 = Poor, (3) 40–60 = Moderate, (4) 60–80 = Good, and (5)> 80 = High. The proportion of soil quality categories in Germany (C) and in Brandenburg (D). Maps of own elaboration based on [51].
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Figure 3. Map of “silage maize for biogas” production based on soil quality in Brandenburg (A), distribution of “silage maize for biogas” in districts of Brandenburg (B), and percentage distribution of “silage maize for biogas” production based on soil quality in Brandenburg (C). Map and figures of own elaboration based on data from the IACS database.
Figure 3. Map of “silage maize for biogas” production based on soil quality in Brandenburg (A), distribution of “silage maize for biogas” in districts of Brandenburg (B), and percentage distribution of “silage maize for biogas” production based on soil quality in Brandenburg (C). Map and figures of own elaboration based on data from the IACS database.
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Figure 4. Scheme of the ES delivered after planting Miscanthus for bioenergy in marginal lands in Brandenburg. Underlined ES refers to those that have been specifically estimated in this study, whereas the non-underlined ones are those that have been identified but not estimated because of the lack of enough scientific knowledge or because they were out of the scope of this research.
Figure 4. Scheme of the ES delivered after planting Miscanthus for bioenergy in marginal lands in Brandenburg. Underlined ES refers to those that have been specifically estimated in this study, whereas the non-underlined ones are those that have been identified but not estimated because of the lack of enough scientific knowledge or because they were out of the scope of this research.
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Table 1. Description of scenarios.
Table 1. Description of scenarios.
ScenarioDescription
BAU_15Conventional, current diet, 2015 (Business as Usual/Baseline)
BAU_30Conventional current diet (population of 2030)
ORG_30Organic but regional (population 2030)
Table 2. Utilizable agricultural area (UAA), area demand, and the percentage of food self-sufficiency in the three different scenarios. Updated and adapted from [55]
Table 2. Utilizable agricultural area (UAA), area demand, and the percentage of food self-sufficiency in the three different scenarios. Updated and adapted from [55]
ScenarioUAA (ha)Area Demand (ha)Food Self-Sufficiency (%)
BAU_151,522,301 1,093,635139
BAU_301,522,301 1,132,611134
ORG_301,522,301 1,328,367115
Table 3. Estimated dry matter yield, (t ha−1yr−1), primary energy, and electricity (kWh ha−1) (in GJ ha−1 in brackets) for Miscanthus and silage maize in Brandenburg.
Table 3. Estimated dry matter yield, (t ha−1yr−1), primary energy, and electricity (kWh ha−1) (in GJ ha−1 in brackets) for Miscanthus and silage maize in Brandenburg.
Bioenergy CropYield (t ha−1yr−1)Primary Energy per Hectare (kWh ha−1) (in GJ ha−1 in Brackets)Electricity per Hectare (kWh ha−1) (in GJ ha−1 in Brackets)
Miscanthus13.5 DM69,363 (250)27,742 (100)
Silage Maize33.0 FM28,589 (103)10,864 (39)
Table 4. Brandenburg’s bioenergy target for 2030 (58 PJ), the area required to meet the goal (ha), and primary energy of Miscanthus and maize. Note that only Miscanthus is estimated to achieve the goal.
Table 4. Brandenburg’s bioenergy target for 2030 (58 PJ), the area required to meet the goal (ha), and primary energy of Miscanthus and maize. Note that only Miscanthus is estimated to achieve the goal.
CropBioenergy Target (58 PJ)Area Required to Meet the Goal (ha)Primary ENERGY per Hectare (kWh ha−1) (in GJ ha−1 in Brackets)
Miscanthus58232,00069,363 (250)
Silage Maize58568,62728,589 (103)
Table 5. Utilizable agricultural area (UAA) (ha), area demand (ha), available area for bioenergy (AAB) (ha), potential energy generation (PJ) for Miscanthus, and silage maize in the three scenarios.
Table 5. Utilizable agricultural area (UAA) (ha), area demand (ha), available area for bioenergy (AAB) (ha), potential energy generation (PJ) for Miscanthus, and silage maize in the three scenarios.
ScenarioUAA (ha)Area Demand (ha)AAB (ha)Potential Energy Generation Miscanthus (PJ)Potential Energy Generation Silage Maize (PJ)
BAU_15 1,522,301 1,093,635428,66610744.1
BAU_301,522,301 1,132,611389,69097.440.1
ORG_301,522,301 1,328,367193,93448.520.0
Table 6. Potential soil organic carbon (SOC) sequestration of Miscanthus in different scenarios.
Table 6. Potential soil organic carbon (SOC) sequestration of Miscanthus in different scenarios.
ScenarioAvailable Area for Bioenergy (AAB) (ha)Potential SOC Sequestration (t C yr−1)Potential CO2 Sequestration (t CO2 yr−1)
BAU_15428,666471,5331,728,953
BAU_30389,690428,6591,571,750
ORG_30193,934213,327782,200
Backcasting232,000255,200935,733

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Tavakoli-Hashjini, E.; Piorr, A.; Müller, K.; Vicente-Vicente, J.L. Potential Bioenergy Production from Miscanthus × giganteus in Brandenburg: Producing Bioenergy and Fostering Other Ecosystem Services while Ensuring Food Self-Sufficiency in the Berlin-Brandenburg Region. Sustainability 2020, 12, 7731. https://doi.org/10.3390/su12187731

AMA Style

Tavakoli-Hashjini E, Piorr A, Müller K, Vicente-Vicente JL. Potential Bioenergy Production from Miscanthus × giganteus in Brandenburg: Producing Bioenergy and Fostering Other Ecosystem Services while Ensuring Food Self-Sufficiency in the Berlin-Brandenburg Region. Sustainability. 2020; 12(18):7731. https://doi.org/10.3390/su12187731

Chicago/Turabian Style

Tavakoli-Hashjini, Ehsan, Annette Piorr, Klaus Müller, and José Luis Vicente-Vicente. 2020. "Potential Bioenergy Production from Miscanthus × giganteus in Brandenburg: Producing Bioenergy and Fostering Other Ecosystem Services while Ensuring Food Self-Sufficiency in the Berlin-Brandenburg Region" Sustainability 12, no. 18: 7731. https://doi.org/10.3390/su12187731

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