scholarly journals The Water Footprint Assessment of Agriculture in Banjar River Watershed

2019 ◽  
Vol 14 (3) ◽  
pp. 476-488
Author(s):  
J Himanshu Rao ◽  
Mahesh Kumar Hardaha ◽  
Hardikkumar Mansukhbhai Vora
Keyword(s):  
Crop Production ◽  
Management Practices ◽  
Crop Yields ◽  
Water Footprint ◽  
Fertilizer Application ◽  
Spatially Explicit ◽  
Total Water ◽  
River Watershed ◽  
Application Rates ◽  
On Farm

The water footprint (WF) is a spatially explicit character of water use in terms of consumption or pollution for producing a product, commodity or service. The WF of a crop may be defined as the amount of water required for producing the crop over the complete growing season. The present study was carried out to assess the WF of agriculture in Banjar river watershed (BRW) over the period 2000 - 2013. The WF of crops were evaluated and their further multiplication with production (ton/yr) in the watershed yielded the water footprint of crop production (WFCP) in Banjar river watershed whose further summation gave WF of agriculture in BRW. The findings depicted that the water footprint of rice was maximum (7848 m3/ton) followed by gram (5782 m3/ton) and wheat (5417 m3/ton). The crop with least WF was maize (2886 m3/ton). These values of WF are much higher than the national average WF for different crops grown in India. Lower crop yields due to improper irrigation practices, low fertilizer application rates and improper on farm water management practices are the primary reasons of such high values of WF of crops in BRW. The water footprint of agriculture in BRW was 690.37 million m3/yr with 59.74 % WFgreen, 39.69 % WFblue and 0.56 % WF grey. Rice was having maximum share in water footprint of agriculture in BRW with 87.38 % of total water footprint followed by gram (4.97 %), wheat (4.33 %) and maize (1.31%).

Carbon footprint of crop production in China: an analysis of National Statistics data

2014 ◽  
Vol 153 (3) ◽  
pp. 422-431 ◽  
Author(s):  
K. CHENG ◽  
M. YAN ◽  
D. NAYAK ◽  
G. X. PAN ◽  
P. SMITH ◽  
...  
Keyword(s):  
Carbon Footprint ◽  
Crop Production ◽  
Management Practices ◽  
Fertilizer Application ◽  
N Fertilization ◽  
Paddy Rice ◽  
N Fertilizer ◽  
Carbon Equivalent ◽  
Ghg Mitigation ◽  
Application Rates

SUMMARYAssessing carbon footprint (CF) of crop production in a whole crop life-cycle could provide insights into the contribution of crop production to climate change and help to identify possible greenhouse gas (GHG) mitigation options. In the current study, data for the major crops of China were collected from the national statistical archive on cultivation area, yield, application rates of fertilizer, pesticide, diesel, plastic film, irrigated water, etc. The CF of direct and indirect carbon emissions associated with or caused by these agricultural inputs was quantified with published emission factors. In general, paddy rice, wheat, maize and soybean of China had mean CFs of 2472, 794, 781 and 222 kg carbon equivalent (CE)/ha, and 0·37, 0·14, 0·12 and 0·10 kg CE/kg product, respectively. For dry crops (i.e. those grown without flooding the fields: wheat, maize and soybean), 0·78 of the total CFs was contributed by nitrogen (N) fertilizer use, including both direct soil nitrous oxide (N2O) emission and indirect emissions from N fertilizer manufacture. Meanwhile, direct methane (CH4) emissions contributed 0·69 on average to the total CFs of flooded paddy rice. Moreover, the difference in N fertilizer application rates explained 0·86–0·93 of the provincial variations of dry crop CFs while that in CH4 emissions could explain 0·85 of the provincial variation of paddy rice CFs. When a 30% reduction in N fertilization was considered, a potential reduction in GHGs of 60 megatonne (Mt) carbon dioxide equivalent from production of these crops was projected. The current work highlights opportunities to gain GHG emission reduction in production of crops associated with good management practices in China.

scholarly journals Long-Term Response of Groundwater Nitrate Concentrations to Management Regulations in Nebraska's Central Platte Valley

2010 ◽  
Vol 10 ◽  
pp. 286-297 ◽  
Author(s):  
Mary E. Exner ◽  
Hugo Perea-Estrada ◽  
Roy F. Spalding
Keyword(s):  
Crop Production ◽  
Management Practices ◽  
Sprinkler Irrigation ◽  
Fertilizer Application ◽  
Application Rates ◽  
Nitrate Concentrations ◽  
Management Area ◽  
Platte River Valley ◽  
N Management ◽  
The Impact

The impact of 16 years (1988–2003) of management practices on high groundwater nitrate concentrations in Nebraska's central Platte River valley was assessed in a 58,812-ha (145,215-ac) groundwater quality management area intensively cropped to irrigated corn (Zea maysL.). Crop production and groundwater nitrate data were obtained from ~23,800 producer reports. The terrace, comprising ~56% of the study area, is much more intensively cropped to irrigated corn than the bottomland. From 1987 to 2003, average groundwater nitrate concentrations in the primary aquifer beneath the bottomland remained static at ~8 mg N/l. During the same period, average groundwater nitrate concentrations in the primary aquifer beneath the terrace decreased from 26.4 to 22.0 mg N/l at a slow, but significant (p< 0.0001), rate of 0.26 mg N/l/year. Approximately 20% of the decrease in nitrate concentrations can be attributed to increases in the amount of N removed from fields as a consequence of small annual increases in yield. During the study, producers converted ~15% of the ~28,300 furrow-irrigated terrace hectares (~69,800 ac) to sprinkler irrigation. The conversion is associated with about an additional 50% of the decline in the nitrate concentration, and demonstrates the importance of both improved water and N management. Average N fertilizer application rates on the terrace were essentially unchanged during the study. The data indicate that groundwater nitrate concentrations have responded to improved management practices instituted by the Central Platte Natural Resources District.

scholarly journals Quantifying the impact of land degradation on crop production: the case of Senegal

Solid Earth ◽  
2016 ◽  
Vol 7 (1) ◽  
pp. 93-103 ◽  
Author(s):  
B. G. J. S. Sonneveld ◽  
M. A. Keyzer ◽  
D. Ndiaye
Keyword(s):  
Land Degradation ◽  
Crop Production ◽  
Crop Yields ◽  
Fertilizer Application ◽  
Yield Reduction ◽  
Sufficient Information ◽  
Persistent Problem ◽  
Confounding Variables ◽  
A Site ◽  
The Impact

Abstract. Land degradation has been a persistent problem in Senegal for more than a century and by now has become a serious impediment to long-term development. In this paper, we quantify the impact of land degradation on crop yields using the results of a nationwide land degradation assessment. For this, the study needs to address two issues. First, the land degradation assessment comprises qualitative expert judgements that have to be converted into more objective, quantitative terms. We propose a land degradation index and assess its plausibility. Second, observational data on soils, land use, and rainfall do not provide sufficient information to isolate the impact of land degradation. We, therefore, design a pseudo-experiment that for sites with otherwise similar circumstances compares the yield of a site with and one without land degradation. This pairing exercise is conducted under a gradual refining of the classification of circumstances, until a more or less stable response to land degradation is obtained. In this way, we hope to have controlled sufficiently for confounding variables that will bias the estimation of the impact of land degradation on crop yields. A small number of shared characteristics reveal tendencies of "severe" land degradation levels being associated with declining yields as compared to similar sites with "low" degradation levels. However, as we zoom in at more detail some exceptions come to the fore, in particular in areas without fertilizer application. Yet, our overall conclusion is that yield reduction is associated with higher levels of land degradation, irrespective of whether fertilizer is being applied or not.

scholarly journals Spatiotemporal dynamics of soil phosphorus and crop uptake in global cropland during the 20th century

2017 ◽  
Vol 14 (8) ◽  
pp. 2055-2068 ◽  
Author(s):  
Jie Zhang ◽  
Arthur H. W. Beusen ◽  
Dirk F. Van Apeldoorn ◽  
José M. Mogollón ◽  
Chaoqing Yu ◽  
...  
Keyword(s):  
Crop Production ◽  
Soil Phosphorus ◽  
Fertilizer Application ◽  
P Uptake ◽  
Vital Role ◽  
Spatially Explicit ◽  
Explicit Model ◽  
Spatially Explicit Model ◽  
Soil P ◽  
Crop Uptake

Abstract. Phosphorus (P) plays a vital role in global crop production and food security. In this study, we investigate the changes in soil P pool inventories calibrated from historical countrywide crop P uptake, using a 0.5-by-0.5° spatially explicit model for the period 1900–2010. Globally, the total P pool per hectare increased rapidly between 1900 and 2010 in soils of Europe (+31 %), South America (+2 %), North America (+15 %), Asia (+17 %), and Oceania (+17 %), while it has been stable in Africa. Simulated crop P uptake is influenced by both soil properties (available P and the P retention potential) and crop characteristics (maximum uptake). Until 1950, P fertilizer application had a negligible influence on crop uptake, but recently it has become a driving factor for food production in industrialized countries and a number of transition countries like Brazil, Korea, and China. This comprehensive and spatially explicit model can be used to assess how long surplus P fertilization is needed or how long depletions of built-up surplus P can continue without affecting crop yield.

scholarly journals The green, blue and grey water footprint of crops and derived crop products

2011 ◽  
Vol 8 (1) ◽  
pp. 763-809 ◽  
Author(s):  
M. M. Mekonnen ◽  
A. Y. Hoekstra
Keyword(s):  
Water Balance ◽  
River Basin ◽  
Crop Production ◽  
Water Footprint ◽  
Grid Cell ◽  
Blue Water ◽  
Total Water ◽  
Grey Water ◽  
Global Average ◽  
Average Water

Abstract. This study quantifies the green, blue and grey water footprint of global crop production in a spatially-explicit way for the period 1996–2005. The assessment is global and improves upon earlier research by taking a high-resolution approach, estimating the water footprint of 126 crops at a 5 by 5 arc min grid. We have used a grid-based dynamic water balance model to calculate crop water use over time, with a time step of one day. The model takes into account the daily soil water balance and climatic conditions for each grid cell. In addition, the water pollution associated with the use of nitrogen fertilizer in crop production is estimated for each grid cell. The crop evapotranspiration of additional 20 minor crops is calculated with the CROPWAT model. In addition, we have calculated the water footprint of more than two hundred derived crop products, including various flours, beverages, fibres and biofuels. We have used the water footprint assessment framework as in the guideline of the water footprint network. Considering the water footprints of primary crops, we see that global average water footprint per ton of crop increases from sugar crops (roughly 200 m3 ton−1), vegetables (300 m3 ton−1), roots and tubers (400 m3 ton−1), fruits (1000 m3 ton−1), cereals} (1600 m3 ton−1), oil crops (2400 m3 ton−1) to pulses (4000 m3 ton−1). The water footprint varies, however, across different crops per crop category and per production region as well. Besides, if one considers the water footprint per kcal, the picture changes as well. When considered per ton of product, commodities with relatively large water footprints are: coffee, tea, cocoa, tobacco, spices, nuts, rubber and fibres. The analysis of water footprints of different biofuels shows that bio-ethanol has a lower water footprint (in m3 GJ−1) than biodiesel, which supports earlier analyses. The crop used matters significantly as well: the global average water footprint of bio-ethanol based on sugar beet amounts to 51 m3 GJ−1, while this is 121 m3 GJ−1 for maize. The global water footprint related to crop production in the period 1996–2005 was 7404 billion cubic meters per year (78% green, 12% blue, 10% grey). A large total water footprint was calculated for wheat (1087 Gm3 yr−1), rice (992 Gm3 yr−1) and maize (770 Gm3 yr−1). Wheat and rice have the largest blue water footprints, together accounting for 45% of the global blue water footprint. At country level, the total water footprint was largest for India (1047 Gm3 yr−1), China (967 Gm3 yr−1) and the USA (826 Gm3 yr−1). A relatively large total blue water footprint as a result of crop production is observed in the Indus River Basin (117 Gm3 yr−1) and the Ganges River Basin (108 Gm3 yr−1). The two basins together account for 25% of the blue water footprint related to global crop production. Globally, rain-fed agriculture has a water footprint of 5173 Gm3 yr−1 (91% green, 9% grey); irrigated agriculture has a water footprint of 2230 Gm3 yr−1 (48% green, 40% blue, 12% grey).

scholarly journals An improved method for calculating regional crop water footprint based on hydrological process analysis

2018 ◽  
Author(s):  
Xiao-Bo Luan ◽  
Ya-Li Yin ◽  
Pu-Te Wu ◽  
Shi-Kun Sun ◽  
Yu-Bao Wang ◽  
...  
Keyword(s):  
Water Resources ◽  
Water Use ◽  
Crop Production ◽  
Water Footprint ◽  
Process Analysis ◽  
Irrigation District ◽  
Hydrological Process ◽  
Total Water ◽  
Crop Water ◽  
Total Consumption

Abstract. Fresh water is consumed during agricultural production. With the shortage of water resources, assessing the water use efficiency is crucial to effectively managing agricultural water resources. The water footprint is a new index for water use evaluation, and it can reflect the quantity and types of water usage during crop growth. This study aims to establish a method for calculating the region-scale water footprint of crop production based on hydrological processes. This method analyzes the water-use process during the growth of crops, which includes irrigation, precipitation, underground water, evapotranspiration, and drainage, and it ensures a more credible evaluation of water use. As illustrated by the case of the Hetao irrigation district (HID), China, the water footprints of wheat, corn and sunflower were calculated using this method. The results show that canal water loss and evapotranspiration were responsible for most of the water consumption and accounted for 47.9 % and 41.8 % of the total consumption, respectively. The total water footprints of wheat, sunflower and corn were 1380–2888 m3/t, 942–1774 m3/t, and 2095–4855 m3/t, respectively, and the blue footprint accounts for more than 86 %. The spatial distribution pattern of the green, blue and total water footprint for the three crops demonstrated that higher values occurred in the eastern part of the HID, which had more precipitation and was further from the irrigating gate. This study offers a vital reference for improving the method used to calculate the crop water footprint.

Future global crop production increases by adapting crop phenology to local climate change

2021 ◽  
Author(s):  
Sara Minoli ◽  
Jonas Jägermeyr ◽  
Senthold Asseng ◽  
Christoph Müller
Keyword(s):  
Climate Change ◽  
Crop Production ◽  
Management Practices ◽  
Crop Yields ◽  
Crop Productivity ◽  
Global Scale ◽  
Adaptation Strategies ◽  
Systematic Evaluation ◽  
Management Scenarios ◽  
Crop Phenology

&lt;p&gt;Broad evidence is pointing at possible adverse impacts of climate change on crop yields. Due to scarce information about farming management practices, most global-scale studies, however, do not consider adaptation strategies.&lt;/p&gt;&lt;p&gt;Here we integrate models of farmers' decision making with crop biophysical modeling at the global scale to investigate how accounting for adaptation of crop phenology affects projections of future crop productivity under climate change. Farmers in each simulation unit are assumed to adapt crop growing periods by continuously selecting sowing dates and cultivars that match climatic conditions best. We compare counterfactual management scenarios, assuming crop calendars and cultivars to be either the same as in the reference climate &amp;#8211; as often assumed in previous climate impact assessments &amp;#8211; or adapted to future climate.&lt;/p&gt;&lt;p&gt;Based on crop model simulations, we find that the implementation of adapted growing periods can substantially increase (+15%) total crop production in 2080-2099 (RCP6.0). In general, summer crops are responsive to both sowing and harvest date adjustments, which result in overall longer growing periods and improved yields, compared to production systems without adaptation of growing periods. Winter wheat presents challenges in adapting to a warming climate and requires region-specific adjustments to pre and post winter conditions. We present a systematic evaluation of how local and climate-scenario specific adaptation strategies can enhance global crop productivity on current cropland. Our findings highlight the importance of further research on the readiness of required crop varieties.&lt;/p&gt;

Electromagnetic induction sensing of soil identifies constraints to the crop yields of north-eastern Australia

Soil Research ◽  
2011 ◽  
Vol 49 (7) ◽  
pp. 559 ◽  
Author(s):  
Y. P. Dang ◽  
R. C. Dalal ◽  
M. J. Pringle ◽  
A. J. W. Biggs ◽  
S. Darr ◽  
...  
Keyword(s):  
Grain Yield ◽  
Electromagnetic Induction ◽  
Crop Production ◽  
Crop Yields ◽  
Yield Potential ◽  
Management Options ◽  
Soil Constraints ◽  
Eastern Australia ◽  
North Eastern ◽  
On Farm

Salinity, sodicity, acidity, and phytotoxic concentrations of chloride (Cl–) in soil are major constraints to crop production in many soils of north-eastern Australia. Soil constraints vary both spatially across the landscape and vertically within the soil profile. Identification of the spatial variability of these constraints will allow farmers to tune management to the potential of the land, which will, in turn, bring economic benefit. For three cropping fields in Australia’s northern grains region, we used electromagnetic induction with an EM38, which measures apparent electrical conductivity of the soil (ECa) and soil sampling to identify potential management classes. Soil Cl– and soluble Na+ concentrations, EC of the saturated extract (ECse), and soil moisture were the principal determinants of the variation of ECa, measured both at the drained upper limit of moisture (UL) and at the lower limit (LL) of moisture extracted by the crop. Grain yield showed a strong negative relation with ECa at both UL and LL, although it was stronger for the latter. We arrive at a framework to estimate the monetary value of site-specific management options, through: (i) identification of potential management classes formed from ECa at LL; (ii) measurement of soil attributes generally associated with soil constraints in the region; (iii) grain yield monitoring; and (iv) simple on-farm experiments. Simple on-farm experiments suggested that, for constrained areas, matching fertiliser application to realistic yield potential, coupled to gypsum amelioration, could potentially benefit growers by AU$14–46/ha.year (fertiliser) and $207/ha.3 years (gypsum).

Size of subsoil clods affects soil-water availability in sand–clay mixtures

Soil Research ◽  
2016 ◽  
Vol 54 (3) ◽  
pp. 276 ◽  
Author(s):  
Giacomo Betti ◽  
Cameron D. Grant ◽  
Robert S. Murray ◽  
G. Jock Churchman
Keyword(s):  
Hydraulic Conductivity ◽  
Soil Water ◽  
Best Management Practices ◽  
Water Availability ◽  
Water Retention ◽  
Management Practices ◽  
Crop Yields ◽  
Root Zone ◽  
Soil Water Availability ◽  
Application Rates

Clay delving in strongly texture-contrast soils brings up subsoil clay in clumps ranging from large clods to tiny aggregates depending on the equipment used and the extent of secondary cultivation. Clay delving usually increases crop yields but not universally; this has generated questions about best management practices. It was postulated that the size distribution of the subsoil clumps created by delving might influence soil-water availability (and hence crop yield) because, although the clay increases water retention in the root-zone, it can also cause poor soil aeration, high soil strength and greatly reduced hydraulic conductivity. We prepared laboratory mixtures of sand and clay-rich subsoil in amounts considered practical (10% and 20% by weight) and excessive (40% and 60% by weight) with different subsoil clod sizes (<2, 6, 20 and 45 mm), for which we measured water retention, soil resistance, and saturated hydraulic conductivity. We calculated soil water availability by traditional means (plant-available water, PAW) and by the integral water capacity (IWC). We found that PAW increased with subsoil clay, particularly when smaller aggregates were used (≤6 mm). However, when the potential restrictions on PAW were taken into account, the benefits of adding clay reached a peak at ~40%, beyond which IWC declined towards that of pure subsoil clay. Furthermore, the smaller the aggregates the less effective they were at increasing IWC, particularly in the practical range of application rates (<20% by weight). We conclude that excessive post-delving cultivation may not be warranted and may explain some of the variability found in crop yields after delving.

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