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Article

Identification of Suitable Sites for Jatropha curcas L. Bioenergy Plantation Using the AquaCrop Model

1
Department of Forestry and Wildlife Management, University of Haripur, Haripur 22620, Khyber Pakhtunkhwa, Pakistan
2
Department of Forestry, Shaheed Benazir Bhutto University, Sheringal 18000, Khyber Pakhtunkhwa, Pakistan
3
GIS and Space Applications in Geosciences Lab (GSAG-L), National Center of GIS and Space Application (NCGSA), Institute of Space Technology, Islamabad 44000, Punjab, Pakistan
4
Department of Economics, Lahore Campus, COMSATS University Islamabad (CUI), Lahore 54000, Punjab, Pakistan
5
Department of Zoology, Jinnah University for Women, Karachi 74600, Sindh, Pakistan
6
Department of Environmental Sciences, University of Haripur, Haripur 22620, Khyber Pakhtunkhwa, Pakistan
7
Department of Biochemistry, Jinnah University for Women, Karachi 74600, Sindh, Pakistan
8
Department of Microbiology, Jinnah University for Women, Karachi 74600, Sindh, Pakistan
*
Author to whom correspondence should be addressed.
Forests 2021, 12(12), 1772; https://doi.org/10.3390/f12121772
Submission received: 14 September 2021 / Revised: 17 November 2021 / Accepted: 23 November 2021 / Published: 14 December 2021
(This article belongs to the Section Forest Ecology and Management)

Abstract

:
Jatropha curcas (JC), as a biofuel plant, has been reported to have various desired characteristics such as high oil content seeds (27–40%), fast-growth, easy cultivation, drought tolerance, and can be grown on marginal soil and wasteland, requiring fewer nutrients and management and does not interfere with existing food crops, insects, and pest resistance. This investigation was the first study of its type to use climatological data, blue/green water footprints, and JC seed production to identify suitable sites for JC bioenergy plantation using the AquaCrop FAO model across the Khyber Pakhtunkhwa province in northwest Pakistan. The JC seed yield (10 ton/ha) was at a maximum in the districts of Bannu, Karak, Hangu, Kurram, North Waziristan, Lakki Marwat, South Waziristan, and Dera Ismail Khan, in addition to its frontier regions, Tank, Peshawar, Mohmand, Orakzai, Khyber, Kohat, Charsadda, Mardan, Swabi, and Nowshera, respectively. Green water footprint (264 m3/ton of JC seed) and blue water footprint (825 m3/ton) was less in these areas. Furthermore, the results revealed that, depending on climatological circumstances, the southern part of the Khyber Pakhtunkhwa province is more appropriate for JC bioenergy plantation than the northern region. The districts of Bannu, Karak, Hangu, Kurram, North Waziristan, Lakki Marwat, South Waziristan, Dera Ismail Khan, and its frontier regions, Tank, Peshawar, Mohmand, Orakzai, Khyber, and Kohat, in Khyber Pakhtunkhwa province were identified to be the most ideal places for JC bioenergy plantation. As a result, under the Billion Tree Afforestation Project (BTAP) and the Green Pakistan Project, the Forest Department of Khyber Pakhtunkhwa should consider planting JC species in the province’s southern region. Furthermore, this research will provide scientific information to government and private sector officials for better management and optimum yield of the JC biofuel crop, as well as for the promotion of energy forestry in Pakistan.

1. Introduction

The physic nut (Jatropha curcas L.) is a non-food seed and oil crop that is a well-known source for biodiesel production around the world [1]. This crop was first planted on the Indian subcontinent in the 16th century by Portuguese merchants [2]. The name Jatropha comes from the Latin words Jatros, meaning doctor, and trophe, meaning food, as it contains numerous medical qualities [3,4]. Jatropha curcas (JC) belongs to the Euphorbiaceae family and is a small tree (semi-perennial tree) or tall shrub, up to 5–7 m tall, with an average life duration equal to 50 years [5,6,7,8]. Initially, JC was a native plant of South American countries as well as Mexico, Meso-America, Central America, Africa, Brazil, Argentina, and Paraguay, but now it is grown in all tropical regions [5,9,10,11,12,13]. It is now found in all tropics and subtropics [9,14,15,16], and it has adapted to a wide range of precipitation and soil conditions [17]. It is currently grown on a 1.8 million ha area in Indonesia, China, Brazil, India, and Africa to satisfy the need for biodiesel production [18].
The fruit is a kernel that comprises three seeds each, but the yield of JC seed in various countries and regions varies from 0.1 to 15 tonnes/hectare/year (t/ha/yr) [19], and the production of JC is reported at 1590 kg/ha/yr [7,20]. By 2017, global biodiesel production is expected to reach 24 billion liters (Divakara et al., 2010). As a biofuel plant, JC has been reported to have various desired characteristics such as fast-growing, easy cultivation, drought tolerance, insect and pest resistance, high oil content seeds (27–40%), and good quality yields for biodiesel and bio kerosene fuel production performance [8,21,22,23]. Since JC oil is rich in unsaturated oily acids (equal to 3— oily acids in seeds) [24,25], it works as the best biodiesel feedstock in agreement with the worldwide standards [26]. Roughly 30% of protein by weight is contained in the seed kernel [27]. Since the 1970s oil crisis, JC has received major attention for making a recognizable alternative to the world’s oil resources [9,28]. The seeds contain about 30–35 percent non-edible oil [3,9,29,30]. One hectare of land will yield 158 to 396 gallons of oil. Depending on density [31], it is possible to extract 0.26 gallons of oil per 8.8 lbs [32] or around 11–12 lbs of seeds [33].
In addition to fuel, various parts of the plants have pharmaceutical qualities, and after the extraction of oil, they produce many important by-products that can be used commercially [22,34,35,36,37,38]. JC species’ oil content, physicochemical properties, fatty acid structure, and energy values have all been studied [35,39,40]. Jatropha cultivation is also important because mature crops consume approximately 18 lbs of carbon dioxide (CO2) per year [41]. Growing plants and trees on one hectare of land sequester produces 20 tonnes of CO2 per year [42]. JC crop is also easy to cultivate, a drought-resistant plant can be grown on marginal soil, and a wilderness plant needs fewer nutrients and management without interfering with an existing food crop [43,44,45,46]. Generally, the JC plant reaches maturity after 6 years, and the production of seeds continues for the next 30–40 years [47]. JC is a hardy tree with great oil that contains protein and little water demand [32]. It can be planted to recover degraded and desert soils [48].
Previous studies have focused on the biodiesel production potential of JC, with little attention given to the suitability of the site for its cultivation. Furthermore, no satellite-based study has been undertaken in Pakistan for this purpose. Field surveys are commonly used in JC plantation studies [49,50,51,52]. Some research studies assessed and selected potential JC plant sites using meteorological data, elevation, and slope [50,51,52,53,54] using remote sensing and GIS techniques [50,54,55]. The recent appearance of satellite technology has been shown to be quite useful in solving difficulties linked to ground features in a timely and cost-effective manner. As a result, some satellite data was used in the present study to identify suitable areas for JC plantations in the Khyber Pakhtunkhwa province of Pakistan. Using remote sensing data and geographic information system techniques, several climatic and topographic features, as well as the soil types of the study area, were investigated and examined to find the most suitable sites for JC cultivation in the Khyber Pakhtunkhwa province of Pakistan. Roughly 60% of the area of Pakistan is rangeland, and there is no accurate and reliable data on the yield of Jatropha curcas plantations under different environmental conditions. As a result, the goal of this study was to identify suitable sites for JC bioenergy plantation in Pakistan’s Khyber Pakhtunkhwa province using meteorological parameters, blue and green water footprint, and JC crop yield, as well as to provide scientific information to policymakers, government, and the private sector for better management and maximum yield of the JC crop in Pakistan.

2. Materials and Methods

2.1. Study Area

Khyber Pakhtunkhwa is one of Pakistan’s four provinces, as can be seen in Figure 1. Khyber Pakhtunkhwa has a total area of 101,741 km2 and is located at 34.9526° N and 72.3311° E. The province is divided into two zones geographically: the northern zone, which stretches from the Hindu Kush mountains to the Peshawar basin’s borders, and the southern zone, which stretches from Peshawar to the Derajat basin [56,57]. With the exception of the Peshawar basin, which is hot in summer and cold in winter, the northern zone has cold and snowy winters, significant rains, and pleasant summers. It has a moderate amount of rainfall [58]. The southern zone is desert, with warm summers and chilly winters as well as little rain. Drought is common in the southern half of the province throughout the summer. The climate of Khyber Pakhtunkhwa is characterised by extremes and is indicative of most of Pakistan’s climate types. For the most part, it is usually dry [59], although the province’s eastern half is recognised for being the wettest in Pakistan, particularly during the monsoon season, which runs from June to mid-September. Khyber Pakhtunkhwa. The climate is extremely diverse for a territory of its size, including the majority of Pakistan’s climate types [60]. The province of Khyber Pakhtunkhwa, in Pakistan’s northwest region, is the country’s most forested area [61].

2.2. Site Suitability Modeling for JC Bioenergy Plantation

The site suitability investigation for JC bioenergy plantations in the Khyber Pakhtunkhwa province was performed in two steps, as shown in flow chart Figure 2. First, slope, elevation, soil types, rainfall, and temperature data were acquired for all the districts of the Khyber Pakhtunkhwa province of Pakistan. Second, the water footprint and yield of the JC crop were simulated through the AquaCrop FAO model as described in Section 2.3. The climatological parameters data were gathered from the National Centre for Environmental Prediction (NCEP) in Peshawar, the Pakistan Forest Institute (PFI) in Peshawar, and the Pakistan Meteorological Department (PMD) in Islamabad, and include information on maximum temperature, minimum temperature, and rainfall. Soil type information was obtained from the Harmonized World Soil Database (HWSB) (30 arc-second raster database) [62], and a soil type map was prepared using Arc GIS v.10.3 (ESRI, Redlands, CA, USA), as can be seen in Figure 3. The elevation and slope were derived from the Shuttle Radar Topography Mission (SRTM) with a spatial resolution of 30 m digital elevation model tiles as depicted in Figure 1 and Figure 4. The previous 30 years’ daily climate data (1986–2016) was further converted according to the study requirements into annual averages. Initially, criteria for a suitable site for JC bioenergy plantation in the Khyber Pakhtunkhwa province were developed, following [63] (Table 1). Based on meteorological parameters (temperature, soil, rainfall), elevation and slope, suitable sites were identified for JC bioenergy plantation in Khyber Pakhtunkhwa, Pakistan. Secondly, the water footprint and yield of the JC crop calculated in Section 2.2 were applied for the identification of suitable sites for JC bioenergy plantation in the Khyber Pakhtunkhwa province of Pakistan.

2.3. Estimation of Water Footprint and Yield of JC Bioenergy Plantation

The data for the JC cultivation stage, i.e., crop phenology, irrigation, and field management, were collected from field experiments that took place at the University of Science and Technology, Bannu, Pakistan. The meteorological data were collected from regional meteorological stations located in various districts of the Khyber Pakhtunkhwa province of Pakistan, as can be seen in Figure 5 and Table 2. The data regarding rainfall and the maximum and minimum temperature from each weather station was collected for the last 30 years (1986 to 2016). Soil type data of the Khyber Pakhtunkhwa province of Pakistan was obtained from Harmonized World Soil Database (HWSB) [62], and then a soil type map was generated with the help of ArcGIS version 10.3 software. The whole province was divided into various sub-regions based on climate and soil data by using the Thiessen polygon method [66] as depicted in (Figure 3). For the soil characteristics of the Khyber Pakhtunkhwa province of Pakistan, SPAW (soil-plant-air-water) computer software version 6.02.75 (United States Department of Agriculture (USDA), Washington, DC, US) was used [67]. The soil characteristics of the Khyber Pakhtunkhwa province were thickness (m), sand fraction (%), silt fraction, (%), clay fraction (%), bulk density (kg/dm3), organic matter (wt.%), salinity (ds/m) stoniness (%), soil water data, permanent wilting point (PWP volume %), field capacity (FC), and saturation (sat volume %) saturated hydraulic conductivity (Ksat) (mm/day), all of which are summarised in (Table 2). Crop data such as (crop density (plant/ha), canopy cover, duration of flower (days), maximum rooting depth (meter), harvest index (%), threshold temp (lower and upper °C, salinity (ds/m) and soil fertility stress, and irrigation data (irrigation schedule), e.g., irrigation water conductivity (ds/m) were also measured. All these data were entered in the AquaCrop FAO model, and software was run for every meteorological station in the Khyber Pakhtunkhwa province. The annual green/blue water footprint for the JC cultivation was estimated for the entire Khyber Pakhtunkhwa province using AquaCrop model version 6.1 developed by FAO (Food and Agriculture Organization) [68,69]. According to [70], blue water footprint is an indicator of freshwater use (surface and groundwater) for a person or community development of goods and services. In comparison, green water footprint is the utilisation of rainwater, which does not run off or refill the groundwater but is retained as soil moisture within the soil. The blue and green water footprint of the JC crop was estimated following the global water footprint accounting standards [70]. The AquaCrop model of FAO (version 6.1) was used to simulate the soil water balance and JC productivity [68,69]. This model estimates the evapotranspiration (ET) and JC yield by simulating the dynamic soil water balance and biomass growth (Equation (1)).
Si = Ri + Ii + CR − ROi – Dr − ET i
where S is soil water content (mm) on a day i, R is rainfall (mm), I is mean irrigation (mm), CR is the capillary rise (mm), RO is mean surface runoff, Dr is drainage (mm), and ET is evapotranspiration [71]. The output of the AquaCrop simulation-crop growth characteristics and water fluxes were divided into blue and green parts using the method introduced by [72]. The blue and green components of JC crop water use (CWU) were estimated by summing the blue and green ET over the JC crop growing period as shown in Equations (2) and (3).
CWU b = t = 1 T S bt S t ET t × 10
CWU g = t = 1 T S gt S t ET t × 10
where CWUb and CWUg are blue and green water consumption (m3), Sbt and Sgt are change in blue and green soil water stock over the growing season, and 10 is the conversion factor from mm to m3. Ti = first day and tT = last day of the run of the AquaCrop model, the model was run 30 times for 30 years from 1986–2016. The WFb and WFg were obtained by dividing CWU by the crop yield Y using Equations (4) and (5) [70].
WF b = CWU b Y
WF g = CWU g Y

3. Results and Discussion

The site suitability for JC plantation in Khyber Pakhtunkhwa, Pakistan, was determined by two methods, i.e., one is based on meteorological parameters (temperature, rainfall, soil), elevation, and slope, and the other is based on JC water footprint and yield. The results of both methods are explained below.

3.1. Site Suitability for JC Plantation Based on Meteorological Parameters, Elevation and Slope

The site suitability for JC plantation is divided into three classes, i.e., “more suitable,” “moderately suitable”, and “less suitable” in the Khyber Pakhtunkhwa province of Pakistan. This suitability was computed carefully using meteorological analysis based on parameters including the temperature, elevation, slope, rainfall, and soil type information of different sites in the Khyber Pakhtunkhwa province of Pakistan [54,63]. The temperature is an important aspect that limits JC plantations [54]. The most suitable temperature for JC bioenergy plantation was (20–28 °C), the moderately suitable temperature was (17–20 °C), and the least suitable temperature was (17 °C and >28 °C), as shown in Table 3 [53,54,65,73,74,75,76,77]. Second is soil quality, which has some impact on JC site suitability. The more suitable soil types were loamy, sandy, or gravelly well-drained soil, while moderately suitable soil types were stony or rocky soil or a little bit of clay/salt, and less suitable soil was clay soil or waterlogged, as listed in Table 3 [65,77]. Rainfall is another factor that affects the JC plantation. Table 3 show the more suitable rainfall (1000 mm–3000 mm), moderately suitable rainfall (250 mm–1000 mm), and less suitable rainfall (250 mm and >3000 mm) for JC bioenergy plantation. The slope is one more factor that affects the JC bioenergy plantation. The most suitable slope was <15°, the moderately suitable slope was 15°–30°, and the least suitable slope was >30° for JC bioenergy plantation, as summarised in Table 3 [30,78]. Elevation also affects the suitable site for JC bioenergy plantation. As shown in Table 3 [26,50,54,65,77], the most suitable elevation for JC bioenergy plantation was 1500 m, the moderately suitable elevation was (1500 m–2100 m), and the least suitable elevation was (0 and >2150). On the basis of meteorological parameters (temperature, rainfall, soil), elevation and slope, the most suitable areas for JC bioenergy plantation in the Khyber Pakhtunkhwa province were found to be the Bannu, Karak, Hangu, Kurram, North Waziristan, Lakki Marwat, South Waziristan, D.I Khan, FR D.I Khan, Tank, Peshawar, Mohmand, Orakzai, Khyber, Kohat, Charsadda, Mardan, Swabi, and Nowshera districts, as summarized in Table 4 and can be seen in Figure 6. In comparison, Buner, Mansehra, Haripur, and Abbottabad were found to be the moderately suitable sites for JC bioenergy plantation, as summarized in Table 4. Based on climatological parameters, Lower Dir, Malakand, Bajaur, Upper Dir, Swat, Shangla, Batagram, Kohistan, and Chitral were those areas which showed the least suitability for JC bioenergy plantation as summarised in Table 4 and can be seen in Figure 6. Based on these findings, the southern part of the Khyber Pakhtunkhwa province is more suitable for JC bioenergy plantation than its northern part.

3.2. Site Suitability for JC Plantation Based on Water Footprint (WF) and Yield of JC Seeds

A suitable site identified for JC plantation in Khyber Pakhtunkhwa is based on the water footprint and yield of the JC seeds. The results of the AquaCrop FAO model showed the yield and water footprint (WF green and WF blue) of JC crops in different districts of the Khyber Pakhtunkhwa province of Pakistan, as can be seen in Table 5. The yield and WF in the Bannu, Karak, Hangu, Kurram Agency, North Waziristan, Lakki Marwat, and South Waziristan districts were found to be the same as, in these districts, the temperature, soil, elevation, slope, and rainfall are almost similar. Therefore, the yield and WF for each district is 10 tonnes/ha, WF green 264 m3/ton, and WF blue 825 m3/ton, respectively. The yield in Dera Ismail Khan and its frontier regions and Tank were also found to be similar (10 tonnes/ha) and the WF result for each district was also the same (WF green 214 m3/ton and WF blue 846 m3/ton) because these three districts have the same climatic conditions, edaphic factors, elevation, and slope. In Peshawar, Mohmand, Orakzai, Khyber, Kohat, and Charsadda, due to having similar meteorological conditions, the yield was239 m3/ton and WF blue 869 m3/ton) were also the same for each district. The yield in the Buner district was 5 tonnes/ha, WF green was 757 m3/ton, and WF blue was 926 m3/ton. The yield and WF in Balakot Mansehra were the same as in Buner. The same yield (4 ton/ha) and the same WF (WF green 799 m3/ton and WF blue 1016 m3/ton) were calculated for the districts of Mansehra, Haripur, and Abbottabad. For the districts of Lower Dir, Malakand, and Bajaur, the yield (3 ton/ha) and WF (WF green 384 m3/ton and WF blue 1688 m3/ton) were also similar for these areas. In Upper Dir, the yield was 3 tons/ha, and the WF was (WF green 941 m3/ton and WF blue 1528 m3/ton). The same yield (3 tonnes/ha) and the same WF (WF green 384 m3/ton and WF blue 1528 m3/ton) were assessed for the districts of Swat, Shangla, Batagram, Kohistan, and Chitral, because these areas have similar meteorological conditions, such as the same soil type, same frequent slope, and elevation. The yield was at a maximum in the districts of Bannu, Karak, Hangu, Kurram, North Waziri-stan, Lakki Marwat, South Waziristan, and Dera Ismail Khan and its frontier regions, Tank, Peshawar, Mohmand, Orakzai, Khyber, Kohat, Charsadda, Mardan, Swabi, and Nowshera whereas less WF (Green and Blue) was reported, respectively. Therefore, these are the areas that are most suitable for JC bioenergy plantation, because in these areas the yield is maximum with less WF (green and blue). The yield in Buner, Mansehra, Haripur, and Abbottabad were less than the above district and WF (Green and Blue) were high confirming that these are areas which are moderately suitable for JC bioenergy plantation. Based on JC crop yield and WF (green and blue), Lower Dir, Malakand, Bajaur, Upper Dir, Swat, Shangla, Batagram, Kohistan, and Chitral are areas that showed less JC seed yield and high-water footprint as compared to the most suitable site. Consequently, these areas are less suitable for JC bioenergy plantation in the Khyber Pakhtunkhwa province of Pakistan. The results also exhibited that the yield of the JC crop was decreasing from the southern part of Khyber Pakhtunkhwa province to the northern part, whereas WF was increasing accordingly. This indicated that the southern part of the Khyber Pakhtunkhwa is more suitable as compared to its northern part. Moreover, based on climatological conditions such as temperature, soil, slope, elevation, and rainfall, the northern part is less suitable for JC bioenergy plantation than the southern part. The yield and WF (green and blue) also revealed the same trend. Thus, results of both the criteria for identification of suitable site (climatological parameters and yield and water footprints of the JC crop) proved that the southern part of the Khyber Pakhtunkhwa province is more suitable for JC bioenergy plantation than its northern part.

4. Discussion

JC as a biofuel plant has been reported to have various desired characteristics such as fast-growing, easy cultivation, drought tolerance, insect and pest resistance, and high oil content seeds (27–40%) that are good quality for biodiesel and bio kerosene fuel production. The JC is a hardy tree with great oil, protein, and little water demand, so it can be planted to recover desert and degraded soils. The JC crop is easy to cultivate. The drought-resistant plant can be grown on marginal soil and wilderness areas without interfering with existing food crops. The JC plant could provide a percentage of the present sustainable biofuel demand with minimal environmental impacts [78]. The crude oil from JC has potential for the manufacturing of biodiesel, with little acidity and more oxidation stability in contrast to soybean oil. It has a lower viscosity than castor oil and has better cold qualities than oil from palm [79]. Therefore, JC oil is able to be directly used in diesel engines [80]. Biofuels such as biodiesel are used by several countries, such as Italy, Australia, the United States, Germany, Austria, and Brazil, as this trend is predicted to develop continuously and has been leading to more biofuel consumption [81,82]. Biodiesel has perhaps gained the greatest interest of all the biofuels because of its chemical structure and energy content [83]. Pakistan, with a population of over 200 million people, is an emerging, developing, and densely populated country [84]. Total energy demand in Pakistan has risen in recent years and is expected to follow the same pattern as many developing economies [85]. Main energy supplies have increased by more than 90% in recent decades, from 34 million tonnes of oil equivalent (MTOE) in 1992, to 64.7 in 2012 [86]. Pakistan is an energy deficient country, and an alternate source of energy is an urgent need. Biodiesel is a prototype in Pakistan and is a good source of renewable energy. Pakistan’s desire to blend biodiesel into fossil diesel up to 2025 and a huge amount of large-scale research work has been dedicated to this topic in different universities and organisations throughout the country. Considering the deadline of the year 2025 for blending biodiesel into fossil diesel, the government of Pakistan has mandated that 10% of the country’s use of fossil diesel be replaced by biodiesel [87]. However, to achieve this target, huge quantities of biomass feedstock will be needed, such as JC seeds, castor seeds, soya bean seeds, etc.
Therefore, the major goal of the present study was to identify suitable sites for JC bioenergy plantation in the province of Khyber Pakhtunkhwa, Pakistan, using meteorological parameters, elevation, slope, blue-green water footprint, and the yield of the JC plant, to provide scientific information to policymakers, the government, and the private sector in order to improve JC crop and yield management. Our results were in line with the previous research, where similar environmental parameters were considered for the identification of suitable sites for JC plantation [30,53,54,63,65,66,73,74,76,77,88]. These studies indicated more suitable, moderately suitable, and less suitable temperatures, soil quality, rainfall, slope, and elevation for JC bioenergy plantations in different countries. [89] in Southwest China, [53] in Mexico and continental Central America, [76] in Zimbabwe, [73] in Yunnan province, [77] in Brazil, [54] in China, and [64] in Rajasthan, India, conducted studies on site suitability for JC bioenergy plantations globally. Temperature, soil quality, rainfall, slope, and elevation are the basic environmental factors that have a tremendous effect on suitable sites for JC bioenergy plantations. Ref. [63] conducted a similar study, indicating the same suitability criteria for JC bioenergy plantations in Thatta tehsil of Pakistan’s Sindh province. The results showed that when we go to the northern part of the Khyber Pakhtunkhwa province, the yield is decreasing, and the WF is increasing, as summarised and shown in Table 5. According to Refs. [32,90,91,92], the water consumption is mostly due to the irrigation of the JC bioenergy plantation, which is necessary to sustain high productivity throughout the cultivation phase of JC crop growth. Ref. [93] calculated the water footprint of bioenergy plantations. Wani et al. [94] also conducted studies on the hydrological consequences of cultivating Jatropha crops in degradable wastelands and ecosystem trade-offs at a watershed scale in India. Ref. [95] conducted a comprehensive study on a field assessment of the agronomic performance and water use of JC in South Africa. Ref. [96] conducted a study on the water footprint of bioenergy from Jatropha curcas. Similar studies were conducted on the water footprint of JC by [53,70,93,97,98,99,100,101,102] in different countries. Our results were in accordance with the findings of these studies. A similar study was conducted by [55] on suitability analysis for JC cultivation in Ethiopia using a spatial modelling approach. Suitable locations for JC cultivation in Ethiopia were identified using GIS (Geographical Information Systems) and the Spatial Analytical Hierarchy Process (SAHP). Weighted overlay analysis results for biophysical suitability evaluation using spatial modelling methods identified 15.07 percent (166,082 km2), 76.57 percent (844,040 km2), and 8.36 percent (km2) of the land as highly suitable, moderately suitable, and not suitable for JC cultivation, respectively. Ref. [50] conducted a comprehensive study in China on the assessment of bioenergy potential on marginal land. According to the findings, the total area of marginal land usable for significant energy plant development was around 43.75 million ha. Similarly, Ref. [77] also conducted a study on the agro-climatic zoning of JC as a subside for crop planning and implementation in Brazil. Ref. [73] conducted a comprehensive survey on the investigation of the geographical distribution and evaluation of JC in Yunnan province, China. Another study was carried out by [75] on the division of suitable arable planting areas for JC in Sichuan Province, China.

5. Conclusions and Recommendations

This study was conducted on site suitability for Jatropha curcas (JC) bioenergy plantation in northwest Pakistan. The site suitability for JC plantation in Khyber Pakhtunkhwa was found based on meteorological parameters (temperature, rainfall, and soil), elevation, slope, JC water footprint, and seed yield. Globally, numerous studies have been conducted on site suitability for bioenergy plantations. However, no study has been conducted on the site suitability of bioenergy plantations such as JC in Pakistan. The results of the site suitability modelling of the present study found that the southern part of the Khyber Pakhtunkhwa province of Pakistan is more suitable for JC bioenergy plantation than its northern part. The present study provides a benchmark or baseline for future research work to investigate suitable sites for other bioenergy plants based on the climatological conditions, water footprint, and yield in Pakistan. The JC plant is a multipurpose, fast-growing tree that is easy to cultivate and has good pest and drought resistance. From the above results and the importance of the JC plant, it is highly recommended that it should be planted under the Billion Tree Afforestation Project (BTAP), Ten Billion Tree Afforestation Project (10-BTAP), and Green Pakistan Project recently launched by the Federal government of Pakistan.

Author Contributions

Conceptualization, T.K., F.I. and M.H.; Data curation, F.K., F.R. and D.A.F.; Formal analysis, F.K., T.K., F.I. and M.H.; Funding acquisition, S.U. and F.K.; Investigation, S.U., R.H., F.I. and S.G.N.; Methodology, M.H., S.U., T.K., F.R., F.A. and D.A.F.; Project administration, R.H. and F.A.; Resources, S.U. and D.A.F.; Software, T.K., S.U., M.H., N.K. and D.A.F.; Supervision, M.H.; Validation, S.U., T.K., N.K. and S.G.N.; Visualization, S.U., F.R., N.K. and F.A.; Writing—original draft, F.K., S.U. and M.H.; Writing—review & editing, S.U., R.H., S.G.N. and M.H. All authors have read and agreed to the published version of the manuscript.

Funding

The authors are very thankful to the GIS and Space Applications in Geosciences Laboratory for providing financial and technical support. This Centre is recently established at the National Centre of Excellence in Geology, University of Peshawar with the partnership of the Shaheed Benazir Bhutto University, Sheringal, Dir Upper, an affiliated laboratory of the National Centre of GIS and Space Applications (NCGSA), Institute of Space Technology, Islamabad, established under a PC1 project of the Higher Education Commission of Pakistan.

Data Availability Statement

Not applicable.

Conflicts of Interest

The authors have declared no conflict of interest in the publication of this article.

References

  1. Grover, A.; Singh, S.; Singh, A.; Bala, M. Jatropha: From Seed to Plant, Seed, Oil, and Beyond. In Jatropha, Challenges for a New Energy Crop; Springer: Singapore, 2019; pp. 323–346. [Google Scholar]
  2. Mantri, V.A.; Parmar, D.R.; Rao, P.N.; Ghosh, A. Observations on ecosystem services in Jatropha curcas plantations established in degraded lands in India. Int. J. Environ. Stud. 2014, 71, 1–6. [Google Scholar] [CrossRef]
  3. Henning, R.K. The Jatropha Booklet. A Guide to the Jatropha System and Its Dissemination in Zambia, 1st ed.; Bagani GbR: Weissensberg, Germany, 2000. [Google Scholar]
  4. Achten, W. Sustainability Evaluation of Biodiesel from Jatropha curcas L. A life Cycle-Oriented Study, Belgium. 2010. Available online: https://perswww.kuleuven.be/u0053809/PhD/WA_PhDmanuscript_Final.pdf (accessed on 10 October 2020).
  5. Divakara, B.N.; Upadhyaya, H.D.; Wani, S.P.; Gowda, C.L. Biology and genetic improvement of Jatropha curcas L.: A review. Appl. Energy 2010, 87, 732–742. [Google Scholar] [CrossRef] [Green Version]
  6. Karmakar, A.; Karmakar, S.; Mukherjee, S. Properties of various plants and animals feedstocks for biodiesel production. Bioresour. Technol. 2010, 101, 7201–7210. [Google Scholar] [CrossRef] [PubMed]
  7. Mofijur, M.; Masjuki, H.H.; Kalam, M.A.; Hazrat, M.A.; Liaquat, A.M.; Shahabuddin, M.; Varman, M. Prospects of biodiesel from Jatropha in Malaysia. Renew. Sustain. Energy Rev. 2012, 16, 5007–5020. [Google Scholar] [CrossRef]
  8. Defence Institute of Bio-Energy Research (DIBER); Defence Research and Development Organization (DRDO). Army Bio Diesel Programme; Technical Report; Defence Institute of Bio-Energy Research (DIBER): Haldwani, India; Defence Research and Development Organization (DRDO): New Delhi, India, 2017. [Google Scholar]
  9. Heller, J. Physic nut. Jatropha curcas L. Promoting the Conservation and Use of Underutilized and Neglected Crops; Institute of Plant Genetics and Crop Plant Research: Gatersleben, Germany; International Plant Genetic Resources Institute: Rome, Italy, 1996. [Google Scholar]
  10. Hambali, E. Prospek Pengembangan Tanaman Jarak Pagar Untuk Biodiesel dan Produk Turunan Lainnya; Bogor Agricultural University: Bogor, Indonesia, 2006. [Google Scholar]
  11. Achten, W.; Muys, B.; Mathijs, E.; Singh, V.P.; Verchot, L. Life-cycle assessment of Bio-diesel from Jatropha curcas L. energy balance, impact on global warming, land use impact. In Proceedings of the 5th International Conference LCA in Foods, Gothenburg, Sweden, 25–26 April 2007; pp. 96–102. [Google Scholar]
  12. Parawira, W. Biodiesel production from Jatropha curcas: A review. Acad. J. Sci. Res. Essays 2010, 5, 1796e808. [Google Scholar]
  13. Silitonga, A.S.; Atabani, A.E.; Mahlia, T.M.I.; Masjuki, H.H.; Badruddin, I.A.; Mekhilef, S. A review on prospect of Jatropha curcas for biodiesel in Indonesia. Renew. Sustain. Energy Rev. 2011, 15, 3733–3756. [Google Scholar] [CrossRef]
  14. Akbar, E.; Yaakob, Z.; Kamarudin, S.K.; Ismail, M.; Salimon, J. Characteristic and Composition of Jatropha Curcas Oil Seed from Malaysia and Its Potential as Biodiesel Feedstock Feedstock. Eur. J. Sci. Res. 2009, 29, 396–403. [Google Scholar]
  15. Misra, M.; Misra, A.N. Jatropha: The biodiesel plant biology, tissue culture and genetic transformation—A review. Int. J. Pure Appl. Sci. Technol. 2010, 1, 11–24. [Google Scholar]
  16. Gudeta, T.B. Chemical Composition, Bio-Diesel Potential and Uses of Jatropha curcas L. (Euphorbiaceae). Am. J. Agric. For. 2016, 4, 35–48. [Google Scholar]
  17. Francis, G.; Edinger, R.; Becker, K. A concept for simultaneous wasteland reclamation, fuel production, and socio-economic development in degraded areas in India: Need, potential and perspectives of Jatropha plantations. Nat. Resour. Forum 2005, 29, 12–24. [Google Scholar] [CrossRef]
  18. Carels, N. Towards the Domestication of Jatropha: The Integration of Sciences. In Jatropha, Challenges for a New Energy Crop: Volume 2: Genetic Improvement and Biotechnology; Bahadur, B., Sujatha, M., Carels, N., Eds.; Springer: New York, NY, USA, 2013; pp. 263–299. ISBN 978-1-4614-4915-7. [Google Scholar]
  19. Ong, H.C.; Mahlia, T.M.I.; Masjuki, H. A review on emissions and mitigation strategies for road transport in Malaysia. Renew. Sustain. Energy Rev. 2011, 15, 3516–3522. [Google Scholar] [CrossRef]
  20. Lu, W.; Zhang, T. Life-Cycle Implications of Using Crop Residues for Various Energy Demands in China. Environ. Sci. Technol. 2010, 44, 4026–4032. [Google Scholar] [CrossRef] [PubMed]
  21. Dias, L.; Missio, R.; Dias, D. Review Antiquity, botany, origin and domestication of Jatropha curcas (Euphorbiaceae), a plant species with potential for biodiesel production. Genet. Mol. Res. 2012, 11, 2719–2728. [Google Scholar] [CrossRef] [PubMed]
  22. Pandey, V.C.; Singh, K.; Singh, J.S.; Kumar, A.; Singh, B.; Singh, R.P. Jatropha curcas: A potential biofuel plant for sustainable environmental development. Renew. Sustain. Energy Rev. 2012, 16, 2870–2883. [Google Scholar] [CrossRef]
  23. Edrisi, S.A.; Dubey, R.K.; Tripathi, V.; Bakshi, M.; Srivastava, P.; Jamil, S.; Singh, H.B.; Singh, N.; Abhilash, P.C. Jatropha curcas L.: A crucified plant waiting for resurgence. Renew. Sustain. Energ. Rev. 2015, 41, 855–862. [Google Scholar] [CrossRef]
  24. Sarin, R.; Sharma, M.; Sinharay, S.; Malhotra, R. Jatropha–Palm biodiesel blends: An optimum mix for Asia. Fuel 2007, 86, 1365–1371. [Google Scholar] [CrossRef]
  25. Maghuly, F.; Laimer, M. Jatropha curcas, a biofuel crop: Functional genomics for understanding metabolic pathways and genetic improvement. Biotechnol. J. 2013, 8, 1172–1182. [Google Scholar] [CrossRef] [Green Version]
  26. Tiwari, A.K.; Kumar, A.; Raheman, H. Biodiesel production from jatropha oil (Jatropha curcas) with high free fatty acids: An optimized process. Biomass-Bioenergy 2007, 31, 569–575. [Google Scholar] [CrossRef]
  27. Marasabessy, A. Valorization of Jatropha Fruit Biomass for Energy Applications. Ph.D. Thesis, Wageningen University, Wageningen, The Netherlands, 2015. [Google Scholar]
  28. Yaqoob, H.; Teoh, Y.; Sher, F.; Ashraf, M.; Amjad, S.; Jamil, M.; Jamil, M.; Mujtaba, M. Jatropha Curcas Biodiesel: A Lucrative Recipe for Pakistan’s Energy Sector. Processes 2021, 9, 1129. [Google Scholar] [CrossRef]
  29. Gubitz, G.; Mittelbach, M.; Trabi, M. Exploitation of the tropical oil seed plant Jatropha curcas L. Bio. Res. Technol. 1999, 67, 73–82. [Google Scholar] [CrossRef]
  30. Deng, X.; Han, J.; Yin, F. Net Energy, CO2 Emission and Land-Based Cost-Benefit Analyses of Jatropha Biodiesel: A Case Study of the Panzhihua Region of Sichuan Province in China. Energies 2012, 5, 2150–2164. [Google Scholar] [CrossRef]
  31. Chawla, P.; Chawla, V.; Maheshwari, R.; Saraf, S.A.; Saraf, S.K. Fullerenes: From Carbon to Nanomedicine. Mini-Rev. Med. Chem. 2010, 10, 662–677. [Google Scholar] [CrossRef]
  32. Achten, W.; Verchot, L.; Franken, Y.; Mathijs, E.; Singh, V.; Aerts, R.; Muys, B. Jatropha bio-diesel production and use. Biomass-Bioenergy 2008, 32, 1063–1084. [Google Scholar] [CrossRef] [Green Version]
  33. Jongschaap, R.E.E.; Corre, W.J.; Bindraban, P.S.; Brandenburg, W.A. Claims and Facts on Jatropha curcas L.: Global Jatropha curcas Evaluation, Breeding and Propagation Programme; Report 158; Plant Research International BV: Wageningen, The Netherlands; Stichting Het Groene Woudt: Laren, The Netherlands, 2007. [Google Scholar]
  34. Jones, N.; Miller, J.H. Jatropha Curcas: A Multipurpose Species for Problematic Sites; World Bank, Asia Technical Dept.: Washington DC, WA, USA, 1992. [Google Scholar]
  35. Kumar, A.; Sharma, S. An evaluation of multipurpose oil seed crop for industrial uses (Jatropha curcas L.): A review. Ind. Crop. Prod. 2008, 28, 1–10. [Google Scholar] [CrossRef]
  36. Contran, N.; Chessa, L.; Lubino, M.; Bellavite, D.; Roggero, P.P.; Enne, G. State-of-the-art of the Jatropha curcas productive chain: From sowing to biodiesel and by-products. Ind. Crop. Prod. 2013, 42, 202–215. [Google Scholar] [CrossRef]
  37. Che Hamzah, N.H.; Khairuddin, N.; Siddique, B.M.; Hassan, M.A. Potential of Jatropha curcas L. as biodiesel feedstock in Malaysia: A concise review. Processes 2020, 8, 786. [Google Scholar] [CrossRef]
  38. Najafi, F.; Sedaghat, A.; Mostafaeipour, A.; Issakhov, A. Location assessment for producing biodiesel fuel from Jatropha curcas in Iran. Energy 2021, 236, 121446. [Google Scholar] [CrossRef]
  39. Pramanik, K. Properties and use of Jatropha curcas oil and diesel fuel blends in compression ignition engine. Renew. Energy 2003, 28, 239–248. [Google Scholar] [CrossRef]
  40. Shah, S.; Sharma, A.; Gupta, M. Extraction of oil from Jatropha curcas L. seed kernels by enzyme assisted three phase partitioning. Ind. Crop. Prod. 2004, 20, 275–279. [Google Scholar] [CrossRef]
  41. Nahar, K.; Sunny, S.A. Biodiesel, Glycerin and Seed-cake Production from Roof-top Gardening of Jatropha curcas L. Curr. Environ. Eng. 2016, 3, 18–31. [Google Scholar] [CrossRef]
  42. Muok, B. Feasibility Study of Jatropha curcas as a Biofuel Feedstock in Kenya; African Centre for Technology Studies (ACTS): Nairobi, Kenya, 2008. [Google Scholar]
  43. Grimm, C. The Jatropha project in Nicaragua. Bagani Tulu 1996, 1, 10–14. [Google Scholar]
  44. Skutsch, M.; Rios, E.D.L.; Solis, S.; Riegelhaupt, E.; Hinojosa, D.; Gerfert, S.; Gao, Y.; Masera, O. Jatropha in Mexico: Environmental and Social Impacts of an Incipient Biofuel Program. Ecol. Soc. 2011, 16, 11–27. [Google Scholar] [CrossRef]
  45. Abobatta, W.F. Jatropha curcas: An overview. J. Adv. Agric. 2019, 10, 1650–1656. [Google Scholar] [CrossRef] [Green Version]
  46. Li, C.; Xiao, Z.; He, L.; di Serio, M.; Xie, X. Industrial Oil Plant; Springer: Singapore, 2020. [Google Scholar]
  47. Ahmad, S.; Sultan, S.M. Physiological changes in the seeds of Jatropha curcas L. at different stages of fruit maturity. Braz. Arch. Biol. Technol. 2015, 58, 118–123. [Google Scholar] [CrossRef] [Green Version]
  48. Ogunwole, J.O.; Alabi, O.; Ugbabe, O.; Birhanu, B.Z. Promoting Jatropha Agriculture for Sustainable Soil Capital Improvement: A Win-Win Technology for Rehabilitating Degraded Lands in Africa. In New Frontiers in Natural Resources Management in Africa; Springer: Cham, Switzerland, 2019; pp. 27–39. [Google Scholar]
  49. Chaudhary, D.R.; Ghosh, A.; Chikara, J.; Patolia, J.S. Soil Characteristics and Mineral Nutrient in Wild Jatropha Population of India. Commun. Soil Sci. Plant Anal. 2008, 39, 1476–1485. [Google Scholar] [CrossRef]
  50. 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]
  51. Iiyama, M.; Newman, D.; Munster, C.; Nyabenge, M.; Sileshi, G.W.; Moraa, V.; Onchieku, J.; Mowo, J.G.; Jamnadass, R. Productivity of Jatropha curcas under smallholder farm conditions in Kenya. Agrofor. Syst. 2013, 87, 729–746. [Google Scholar] [CrossRef]
  52. Mimien, H.; Almughfirah, C.; Irwan, D.; Oktanis, E.; Taizo, M.; Kazuyuki, N.; Tomio, I. Evaluation of land suitability and potential production of Jatropha (Jatropha curcas L.): A biodiesel resource in Solok Regency, West Sumatra, Indonesia. J. Environ. Res. Dev. 2013, 7, 1165–1173. [Google Scholar]
  53. Maes, W.; Achten, W.; Muys, B. Use of inadequate data and methodological errors lead to a dramatic overestimation of the water footprint of Jatropha curcas. Proc. Natl. Acad. Sci. USA 2009, 106, E91. [Google Scholar] [CrossRef] [Green Version]
  54. Wu, W.G.; Huang, J.K.; Deng, X.Z. Potential land for plantation of Jatropha curcas as feedstocks for biodiesel in China. Sci. China Ser. D Earth Sci. 2010, 53, 120127. [Google Scholar] [CrossRef]
  55. Taddese, H. Suitability analysis for Jatropha curcas production in Ethiopia-a spatial modeling approach. Environ. Syst. Res. 2014, 3, 1–13. [Google Scholar] [CrossRef] [Green Version]
  56. Sadiq, N. Thunderstorm and rainfall activity over Khyber Pakhtunkhwa (KPK), Pakistan. Nucleus 2012, 49, 231–237. [Google Scholar]
  57. Khan, A.; Ahmad, S.S. Application of GAINS model for assessing selected air pollutants in Khyber Pakhtunkhwa and Baluchistan, Pakistan. Arab. J. Geosci. 2018, 11, 1–10. [Google Scholar] [CrossRef]
  58. Gul, S.; Hussain, I.; Shad, M.Y.; Faisal, M.; Shoukry, A.M.; Adnan, S. Nonparametric trend analysis of reference evapotranspiration for Khyber Pakhtunkhwa, Pakistan. Int. J. Glob. Warm. 2018, 14, 313–329. [Google Scholar] [CrossRef]
  59. Shah, A.A.; Ye, J.; Abid, M.; Ullah, R. Determinants of flood risk mitigation strategies at household level: A case of Khyber Pakhtunkhwa (KP) province, Pakistan. Nat. Hazards 2017, 88, 415–430. [Google Scholar] [CrossRef]
  60. Khan, A.; Mushtaq, M.H.; Hussain, A.; Khan, A.; Khan, A.; Nabi, H. Incidence of repeat breeding in varying breeds of buffaloes and cattle in different climatic conditions in Khyber Pakhtunkhwa (Pakistan). Buffalo Bull. 2016, 35, 445–454. [Google Scholar]
  61. Saqib, R.; Tachibana, S. Contribution of agricultural and forestry extension services to inclusive extension system in North-West Pakistan: A case study of Mansehra and Swat districts of Khyber Pakhtunkhwa Province. J. Agric. Ext. Rural. Dev. 2014, 6, 175–187. [Google Scholar]
  62. International Institute for Applied Systems Analysis IIASA; International Soil Reference and Information Centre ISRIC; Institute of Soil Science, Chinese Academy of Sciences ISSCAS; Food and Agriculture Organization FAO; Joint Research Centre JRC. Harmonized World Soil Database; Version 1.2; Food and Agriculture Organization FAO: Rome, Italy; International Institute for Applied Systems Analysis IIASA: Laxenburg, Austria, 2018; Available online: http://www.fao.org/soils-portal/soil-survey/soil-maps-anddatabases/harmonized-world-soil-database-v12/en/ (accessed on 11 October 2020).
  63. Arslan, M.; Zaidi, A.Z.; Malik, S. Identification of Suitable Sites for Plantation of Biofuel Source Jatropha C. using Geospatial Techniques. J. Space Technol. 2015, 5, 55–62. [Google Scholar]
  64. Poonia, M.P.; Jethoo, A.S. Jatropha plantation for biodiesel production in Rajasthan: Climate, economics and employment. Univers. J. Environ. Res. Technol. 2012, 2, 14–20. [Google Scholar]
  65. Shiotsu, Y. Microwave Assisted Jatropha Biodiesel Production. Available online: https://digital.wpi.edu/downloads/bc386k78z (accessed on 12 October 2020).
  66. Schumann, A.H. Thiessen polygon. In Encyclopedia of Hydrology and Lakes; Encyclopedia of Earth Science; Springer: Dordrecht, The Netherlands, 1998; ISBN 978-1-4020-4497-7. [Google Scholar] [CrossRef]
  67. Saxton, K.; Rawls, W.J.; Romberger, J.; Papendick, R. Estimating generalized soil water characteristics from texture. Soil Sci. Soc. Am. J. 1986, 50, 1031–1036. [Google Scholar] [CrossRef]
  68. Steduto, P.; Hsiao, T.C.; Fereres, E. On the conservative behavior of biomass water productivity. Irrig. Sci. 2007, 25, 189–207. [Google Scholar] [CrossRef] [Green Version]
  69. Steduto, P.; Hsiao, T.C.; Raes, D.; Fereres, E. AquaCrop—The FAO Crop Model to Simulate Yield Response to Water: I. Concepts and Underlying Principles. Agron. J. 2009, 101, 426–437. [Google Scholar] [CrossRef] [Green Version]
  70. Hoekstra, A.Y.; Chapagain, A.K.; Aldaya, M.M.; Mekonnen, M.M. The Water Footprint Assessment Manual; Routledge: London, UK, 2011; ISBN 978-1-84971279-8. [Google Scholar]
  71. Nouri, H.; Borujeni, S.C.; Hoekstra, A.Y. The blue water footprint of urban green spaces: An example for Adelaide, Australia. Landsc. Urban Plan. 2019, 190, 103613. [Google Scholar] [CrossRef]
  72. Chukalla, A.D.; Krol, M.S.; Hoekstra, A.Y. Green and blue water footprint reduction in irrigated agriculture: Effect of irrigation techniques, irrigation strategies and mulching. Hydrol. Earth Syst. Sci. 2015, 19, 4877–4891. [Google Scholar] [CrossRef] [Green Version]
  73. Yuan, L.; Zhao, Q.; Kang, P.; Yang, L.; Zhao, J.; Gou, P.; Wu, K.; Yang, F.; Yang, X.; Li, W.; et al. Investigation of geographical distribution and evaluation of Jatropha curcas in Yunnan province. Southwest China J. Agric. Sci. 2007, 20, 1283–1286. [Google Scholar]
  74. Luo, J.X.; Feng, Z.S.; Tang, P.; Gu, Y.J.; Cao, X.J.; Cai, X.H. Preliminary Study on Distribution Characteristics of Jatropha curcas and Selection of Its Suitable Habitat in Sichuan Province. J. Southwest For. Coll. 2007, 3, 6–10. [Google Scholar]
  75. Yu, B.; He, S.B.; He, C.J.; Tang, X.Z.; Zhu, Z.Z. Division of Suitable Arable Planting Area for Jatropha curcas in Sichuan Province. For. Inventory Plan. 2008, 1, 010. [Google Scholar]
  76. Jingura, R.M. Technical options for optimization of production of Jatropha as a biofuel feedstock in arid and semi-arid areas of Zimbabwe. Biomass-Bioenergy 2011, 35, 2127–2132. [Google Scholar] [CrossRef]
  77. Yamada, E.S.M.; Sentelhas, P.C. Agro-climatic zoning of Jatropha curcas as a subside for crop planning and implementation in Brazil. Int. J. Biometeorol. 2014, 58, 19952010. [Google Scholar] [CrossRef]
  78. Jepsen, J.K.; Henning, R.K.; Nyathi, B. Jatropha curcas in Zimbabwe. Generative Propagation of Jatropha curcas L. on Kalahari Sand. Environment Africa. Zimbabwe. Available online: https://en.calameo.com/read/0013653961c27b053a890 (accessed on 16 October 2020).
  79. Castro Gonzales, N.F. Food security and biofuel: A case study of Jatropha curcas in Bolivia. Int. J. Therm. Environ. Eng. 2012, 4, 57–64. [Google Scholar]
  80. Brittaine, R.; Lutaladio, N. Jatropha: A Smallholder Bioenergy Crop: The Potential for Pro-Poor Development; Food and Agriculture Organization of the United Nations (FAO): Rome, Italy, 2010; Volume 8. [Google Scholar]
  81. Dorado, M.P.; Cruz, F.; Palomar, J.M.; Lopez, F.J. An approach to the economics of two vegetable oil-based biofuels in Spain. Renew. Energy 2006, 31, 1231–1237. [Google Scholar] [CrossRef]
  82. Haas, M.J.; McAloon, A.J.; Yee, W.C.; Fogilia, T.A. A process model to estimate biodiesel production costs. Bioresour. Technol. 2006, 97, 671–678. [Google Scholar] [CrossRef]
  83. Yusuf, N.N.A.N.; Kamarudin, S.K.; Yaakub, Z. Overview on the current trends in biodiesel production. Energy Convers. Manag. 2011, 52, 2741–2751. [Google Scholar] [CrossRef]
  84. Hussain, G.; Rasul, A.; Anwar, H.; Sohail, M.U.; Kamran, S.K.S.; Baig, S.M.; Shabbir, A. Epidemiological data of neurological disorders in Pakistan and neighboring countries: A review. Pak. J. Neurol. Sci. 2017, 12, 52–70. [Google Scholar]
  85. Aslam, W.; Soban, M.; Akhtar, F.; Zaffar, N. Smart meters for industrial energy conversation and efficiency optimization in Pakistan: Scope, technology and applications. Renew. Sustain. Energy Rev. 2015, 44, 933–943. [Google Scholar] [CrossRef]
  86. Shakeel, S.R.; Takala, J.; Shakeel, W. Renewable Energy Sources in Power Generation in Pakistan. Renew. Sustain. Energy Rev. 2016, 64, 421–434. [Google Scholar] [CrossRef]
  87. Chakrabarti, M.H.; Ali, M.; Baroutian, S.; Saleem, M. Technoeconomic comparison between B10 of Eruca sativa L. and other indigenous seed oils in Pakistan. Proc. Saf. Env. Protect. 2011, 89, 165–171. [Google Scholar] [CrossRef]
  88. Tewari, D.N. Jatropha & Bio-Diesel; Prabhat Prakashan: New Delhi, India, 2007. [Google Scholar]
  89. Liu, L.; Zhuang, D.; Jiang, D.; Fu, J. Assessment of the biomass energy potentials and environmental benefits of Jatropha curcas L. in Southwest China. Biomass- Bioenergy 2013, 56, 342–350. [Google Scholar] [CrossRef]
  90. Almeida, J.; Moonen, P.; Soto, I.; Achten, W.M.; Muys, B. Effect of farming system and yield in the life cycle assessment of Jatropha-based bioenergy in Mali. Energy Sustain. Dev. 2014, 23, 258–265. [Google Scholar] [CrossRef]
  91. Kumar, A.; Patil, N.; Kumar, R.; Mandal, D. Irrigation Scheduling and Fertilization Improves Production Potential of Jatropha (Jatropha curcas L.): A Review. Int. J. Curr. Microbiol. Appl. Sci. 2017, 6, 1703–1716. [Google Scholar] [CrossRef]
  92. Gmünder, S.; Singh, R.; Pfister, S.; Adheloya, A.; Zah, R. Environmental Impacts ofJatropha curcasBiodiesel in India. J. Biomed. Biotechnol. 2012, 2012, 1–10. [Google Scholar] [CrossRef] [Green Version]
  93. Hoekstra, A.Y.; Gerbens-Leenes, P.W.; van der Meer, T.H. The Water Footprint of Bio-Energy. Climate Change and Water: International Perspectives on Mitigation and Adaptation; American Water Works Association: Denver, CO, USA; IWA Publishing: London, UK, 2010; pp. 81–95. [Google Scholar]
  94. Wani, S.P.; Garg, K.K.; Patil, M.D. Hydrological Consequences of Cultivating Jatropha crop in Degradable Waste Lands of India and Ecosystem Trade-Offs at Watershed Scale; European Commission: Luxembourg, 2013. [Google Scholar]
  95. Everson, C.; Mengistu, M.; Gush, M. A field assessment of the agronomic performance and water use of Jatropha curcas in South Africa. Biomass-Bioenergy 2013, 59, 59–69. [Google Scholar] [CrossRef]
  96. Jongschaap, R.E.E.; Blesgraaf, R.A.R.; Bogaard, T.; van Loo, E.N.; Savenije, H. The water footprint of bioenergy from Jatropha curcas L. Proc. Natl. Acad. Sci. USA 2009, 106, E92. [Google Scholar] [CrossRef] [Green Version]
  97. Hoekstra, A.Y.; Gerbens-Leenes, W.; van der Meer, T.H. Reply to Jongschaap et al.: The water footprint of Jatropha curcas under poor growing conditions. Proc. Natl. Acad. Sci. USA 2009, 106, E119. [Google Scholar] [CrossRef] [Green Version]
  98. Gerbens-Leenes, W.; Hoekstra, A.Y.; van der Meer, T.H. Reply to Maes et al.: A global estimate of the water footprint of Jatropha curcas under limited data availability. Proc. Natl. Acad. Sci. USA 2009, 106, E113. [Google Scholar] [CrossRef] [Green Version]
  99. Xie, X.; Zhang, T.; Wang, L.; Huang, Z. Regional water footprints of potential biofuel production in China. Biotechnol. Biofuels 2017, 10, 95. [Google Scholar] [CrossRef]
  100. Aldaya, M.M.; Chapagain, A.K.; Hoekstra, A.Y.; Mekonnen, M.M. The Water Footprint Assessment Manual: Setting the Global Standard; Routledge: London, UK, 2012. [Google Scholar]
  101. Alherbawi, M.; AlNouss, A.; McKay, G.; Al-Ansari, T. Optimum sustainable utilisation of the whole fruit of Jatropha curcas: An energy, water and food nexus approach. Renew. Sustain. Energy Rev. 2021, 137, 110605. [Google Scholar] [CrossRef]
  102. Karanam, K.R.; Bhavanasi, J.K. Cultivation technology for Jatropha curcas. In Jatropha, Challenges for a New Energy Crop; Springer: New York, NY, USA, 2012; pp. 165–174. [Google Scholar]
Figure 1. Location map of the study area along with elevation.
Figure 1. Location map of the study area along with elevation.
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Figure 2. Flow chart diagram of the modeling approach.
Figure 2. Flow chart diagram of the modeling approach.
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Figure 3. Khyber Pakhtunkhwa soil map.
Figure 3. Khyber Pakhtunkhwa soil map.
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Figure 4. Khyber Pakhtunkhwa slope.
Figure 4. Khyber Pakhtunkhwa slope.
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Figure 5. Khyber Pakhtunkhwa meteorological stations.
Figure 5. Khyber Pakhtunkhwa meteorological stations.
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Figure 6. More suitable, moderate suitable and less suitable sites for JC bioenergy plantation in Khyber Pakhtunkhwa, Pakistan.
Figure 6. More suitable, moderate suitable and less suitable sites for JC bioenergy plantation in Khyber Pakhtunkhwa, Pakistan.
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Table 1. Site suitability criteria for JC plantation [63].
Table 1. Site suitability criteria for JC plantation [63].
S.#ParameterRange/LimitationSuitability ClassesData SourceReference
More SuitableModerate SuitableLess Suitable
1Elevation0–1800 m<1500 m1500 m–2100 m<0 and >2150SRTM DEM[54]
2SlopeNot exceed 30°<15°15°–30°>30°SRTM DEM[30]
4Rainfall250 mm–3000 mm1000 mm–3000 mm250 mm–1000 mm<250 mm and >3000 mmNCEP Data[64]
5Temperature18 °C–28 °C20 °C–28 °C17 °C–20 °C<17 °C and >28 °CNCEP Data[65]
6Soil TypeAerated sandy, gravelly, loamy or soil without/a little clay contentsandy or Loamy, gravelly, well-drained soilStony or rocky soil or a little part of clay/saltClay soil or waterloggedHarmonised World Soil data based (HWSB)[62,63]
Table 2. Details of meteorological stations in Khyber Pakhtunkhwa, Pakistan.
Table 2. Details of meteorological stations in Khyber Pakhtunkhwa, Pakistan.
Name of Meteorological StationLatitudeLongitude
Chitral35.8571.78
Drosh35.5771.78
Dir35.271.85
Pattan35.0673
Timergara34.8371.84
Saidu Shaif34.7372.35
Balakot34.5572.35
Abbottabad34.1873.25
Resal pur34.0771.97
Peshawar34.0271.56
Bannu32.9870.6
D.I.K31.8270.93
Table 3. Soil characteristics of Khyber Pakhtunkhwa province, Pakistan.
Table 3. Soil characteristics of Khyber Pakhtunkhwa province, Pakistan.
Soil TypeHorizonsTexture USDAThickness
(m)
Sand Fraction
(%)
Silt Fraction
(%)
Clay Fraction (%)Bulk Density (kg/dm3)Organic Matter (wt.%)Salinity (ds/m)Stoniness
(%)
Soil Water
PWPFCSATKsat
(Volume %)(mm/day)
CalcisolsTop soilLoam0.33940211.320.71.6413.52746196.5
Sub soilLoam0.73640241.420.291.63152941131.5
CambisolsTop soilLoam0.34236221.3710.19142742100
Sub soilLoam0.74035251.390.40.11215.32841116
Rock OutcropTop soilLoam0.34334231.31.40.12614.72843151.2
Sub soilClay loam0.74230281.370.30.7317.12941118.56
LiptosolsTop soilLoam0.34334231.380.370.12615.428.745.6189.12
Sub soilClay loam0.653042281.340.290.130183347.762.64
FluvisolsTop soilLoam0.33547181.390.60.71012.628.246.5211.2
Sub soilLoam13745181.410.40.51111.62641.9221.28
RegosolsTop soilLoam0.34335221.40.770.31714.828.245.6179.28
Sub soilLoam13836261.520.530.31816.229.542.8115.44
Table 4. More suitable, moderate suitable and less suitable districts for JC bioenergy plantation in Khyber Pakhtunkhwa, Pakistan.
Table 4. More suitable, moderate suitable and less suitable districts for JC bioenergy plantation in Khyber Pakhtunkhwa, Pakistan.
More Suitable AreasModerate Suitable AreasLess Suitable Areas
D.I. KhanBunerLower Dir
FR DIKBalakotMalakand Agency
TankMansehraBajaur Agency
PeshawarHaripurUpper Dir
Mohmand AgencyAbbottabadSwat
Orakzai Agency Chitral
Khyber Agency Shangla
Kohat Batagram
Charsadda Drosh
Mardan Kohistan
Swabi
Nowshera
Table 5. Water footprint and yield of JC in different districts of Khyber Pakhtunkhwa, Pakistan.
Table 5. Water footprint and yield of JC in different districts of Khyber Pakhtunkhwa, Pakistan.
District NameWFgreen (m3/ton)WFblue (m3/ton)Yield (ton/ha)
Bannu26482510
Karak26482510
Hangu26482510
Kurram Agency26482510
North Waziristan26482510
Lakki Marwat26482510
South Waziristan26482510
D.I.Khan21484610
FR DIK21484610
Tank21484610
Peshawar2588518
Mohmand Agency2588518
Orakzai Agency2588518
Khyber Agency2588518
Kohat2588518
Charsada2588518
Mardan2398698
Swabi2398698
Nowshehra2398698
Buner7579265
Balakot7579265
Mansehra79910164
Haripur79910164
Abbottabad79910164
Lower Dir38416883
Malakand Agency38416883
Bajaur Agency38416883
Upper Dir94115283
Swat38416883
Shangla38416883
Batagram38416883
Kohistan38416883
Drosh38416883
Chitral38416883
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Khalid, F.; Ullah, S.; Rehman, F.; Hadi, R.; Khan, N.; Ibrahim, F.; Khan, T.; Aziz, F.; Feroz, D.A.; Nadeem, S.G.; et al. Identification of Suitable Sites for Jatropha curcas L. Bioenergy Plantation Using the AquaCrop Model. Forests 2021, 12, 1772. https://doi.org/10.3390/f12121772

AMA Style

Khalid F, Ullah S, Rehman F, Hadi R, Khan N, Ibrahim F, Khan T, Aziz F, Feroz DA, Nadeem SG, et al. Identification of Suitable Sites for Jatropha curcas L. Bioenergy Plantation Using the AquaCrop Model. Forests. 2021; 12(12):1772. https://doi.org/10.3390/f12121772

Chicago/Turabian Style

Khalid, Faisal, Sami Ullah, Fariha Rehman, Rana Hadi, Nasreen Khan, Farzana Ibrahim, Tariq Khan, Farha Aziz, Dania Aeema Feroz, Syeda Ghufrana Nadeem, and et al. 2021. "Identification of Suitable Sites for Jatropha curcas L. Bioenergy Plantation Using the AquaCrop Model" Forests 12, no. 12: 1772. https://doi.org/10.3390/f12121772

APA Style

Khalid, F., Ullah, S., Rehman, F., Hadi, R., Khan, N., Ibrahim, F., Khan, T., Aziz, F., Feroz, D. A., Nadeem, S. G., & Hussain, M. (2021). Identification of Suitable Sites for Jatropha curcas L. Bioenergy Plantation Using the AquaCrop Model. Forests, 12(12), 1772. https://doi.org/10.3390/f12121772

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