Mapping the potential for Payments for Ecosystem Services schemes to improve water quality in agricultural catchments: A multi-criteria approach based on the supply and demand concept.

Payments for Ecosystem Services (PES) schemes are an increasingly popular form of catchment management for improving surface water and groundwater quality. In these schemes, downstream water users who are impacted by agricultural diffuse pollution incentivise upstream farmers to adopt better practices. However, this type of scheme will not be successful in all situations, in part, due to a lack of potential for agriculture to improve the suuply of good water quality and/or a lack in demand from downstream users for good water quality. As such, this study aims to present a flexible approach to mapping the potential for PES schemes to improve water quality in agricultural catchments. The approach is based on multi-criteria analysis, with supply and demand as key criteria. It uses expert judgement or current guidance on PES to select supply and demand sub-criteria, expert judgement to weight all criteria through pairwise comparisons and readily available, national datasets to indicate criteria. Once indicator data are normalized, it combines them in a weighted sums analysis and presents results spatially at the national scale, all within a geographical information system. The approach can easily be applied to the country or region of interest by using locally relevant criteria, expert judgement and data. For example, when applied to the situation for river waterbodies in England, supply sub-criteria were the contribution of agriculture to loads of the major pollutants (nitrogen, phosphorus and sediments) and demand sub-criteria were the different downstream water users present (water companies and, tourist and local recreational users). Experts assigned equal weight to supply and demand criteria and the highest weights to sediments and water companies for sub-criteria, respectively. When national scale datasets to indicate these criteria were combined in a weighted sums analysis, it was possible to identify areas of high potential for PES. This would hopefully motivate more detailed research at the individual catchment level into the constraints in linking supply and demand. Three case-study schemes were also examined to show how some of these constraints are being identified and overcome. As such, the approach forms the first tier in a two-tier framework for establishing PES schemes to improve water quality in agricultural catchments.

Improvement of waste management practices in a fast expanding sub-megacity in Pakistan, on the basis of qualitative and quantitative indicators.

This paper deals with an analysis of waste management practices in the fast-growing city of Gujranwala with 2.6 million inhabitants, with a fast growing middle income group of 56%, and an urbanization rate of 3.49% per annum. This city is like many other cities in the developing world, characterised by hardly any waste management infrastructure. The study comprises: (1) an inventory of current waste flows, per income group as well as per season, (2) an inventory of waste management shortcomings, (3)) a what-if analysis on the carbon footprint of three waste treatment techniques. The inventory of current waste flows is based on a comprehensive site study involving 776 samples in total. The waste management shortcomings have been qualitatively analysed by Wasteaware model, which deals with physical aspects (public health, environmental control, resource management) as well as governance factors (user & provider inclusivity, financial stability, institutions & policies). The what-if analysis of the carbon footprint has been based on an LCA-based tool. The findings of this study are that: (1) the optimum choice of waste treatment scenario differs for the seasons, (2) the high and middle income groups have nearly half of the share of the waste (3) the Wasteaware system appears to be a powerful tool to communicate the weak spots and to make stakeholders aware of the opportunities for improvement. The novelty of this paper is that it focused on the impact of household income groups in combination with seasonal differences while comparing different waste disposal scenarios.

Impact assessment of energy utilization in agriculture for India and Pakistan.

Sustainable food production is a key concern across countries in South Asia. Most assessments of sustainable agriculture in this region focus on the availability and affordability of resource inputs. However, studies accounting for environmental footprint of agricultural activities in South Asian countries are limited in the existing literature. This paper analyzed the environmental impact of energy utilization in agriculture in India and Pakistan. More specifically, the study analyzes the trends of fuel and electricity consumption for crop production in these countries during a ten-year period between the years 2002 and 2011. Life cycle impact assessment categories including global warming potential, human toxicity, acidification and eutrophication were used to holistically analyze the end-user impact of energy consumption. Results indicated an increase in these impacts for both countries during the study period. On a per hectare basis, the assessed impacts were relatively greater in India than in Pakistan during the study period. The main reason behind larger impacts in India was its significantly greater use of coal for electricity generation. Overall, this study showed that further electrification of agriculture will not necessarily lead to cleaner environment in these countries. Due to high population growth rates, energy consumption for agriculture is expected to grow in these countries in the future. Unless cleaner sources of electricity are used, further energy intensification in agriculture will be detrimental to ecosystem and human health, which in turn will be counterproductive for sustainable agriculture.