Farmers value on-farm ecosystem services as important, but what are the impediments to participation in PES schemes?

Optimal participation in market-based instruments such as PES (payment for ecosystem services) schemes is a necessary precondition for achieving large scale cost-effective conservation goals from agricultural landscapes. However farmers' willingness to participate in voluntary conservation programmes is influenced by psychological, financial and social factors and these need to be assessed on a case-by-case basis. In this research farmers' values towards on-farm ecosystem services, motivations and perceived impediments to participation in conservation programmes are identified in two local land services regions in Australia using surveys. Results indicated that irrespective of demographics such as age, gender, years farmed, area owned and annual gross farm income, farmers valued ecosystem services important for future sustainability. Non-financial motivations had significant associations with farmer's perceptions regarding attitudes and values towards the environment and participation in conservation-related programmes. Farmer factors such as lack of awareness and unavailability of adequate information were correlated with non-participation in conservation-based programmes. In the current political context, government uncertainty regarding schemes especially around carbon sequestration and reduction was the most frequently cited impediment that could deter participation. Future research that explores willingness of farmers towards participation in various types of PES programmes developed around carbon reduction, water quality provision and biodiversity conservation, and, duration of the contract and payment levels that are attractive to the farmers will provide insights for developing farmer-friendly PES schemes in the region.

Analysis of gas exchange, stomatal behaviour and micronutrients uncovers dynamic response and adaptation of tomato plants to monochromatic light treatments.

Light spectrum affects the yield and quality of greenhouse tomato, especially over a prolonged period of monochromatic light treatments. Physiological and chemical analysis was employed to investigate the influence of light spectral (blue, green and red) changes on growth, photosynthesis, stomatal behaviour, leaf pigment, and micronutrient levels. We found that plants are less affected under blue light treatment, which was evident by the maintenance of higher A, gs, Tr, and stomatal parameters and significantly lower VPD and Tleaf as compared to those plants grown in green and red light treatments. Green and red light treatments led to significantly larger increase in the accumulation of Fe, B, Zn, and Cu than blue light. Moreover, guard cell length, width, and volume all showed highly significant positive correlations to gs, Tr and negative links to VPD. There was negative impact of monochromatic lights-induced accumulation of Mn, Cu, and Zn on photosynthesis, leaf pigments and plant growth. Furthermore, most of the light-induced significant changes of the physiological traits were partially recovered at the end of experiment. A high degree of morphological and physiological plasticity to blue, green and red light treatments suggested that tomato plants may have developed mechanisms to adapt to the light treatments. Thus, understanding the optimization of light spectrum for photosynthesis and growth is one of the key components for greenhouse tomato production.

[Development of APSIM (agricultural production systems simulator) and its application].

Soil-crop simulator model is an effective tool for providing decision on agricultural management. APSIM (Agricultural Production Systems Simulator) was developed to simulate the biophysical process in farming system, and particularly in the economic and ecological features of the systems under climatic risk. The current literatures revealed that APSIM could be applied in wide zone, including temperate continental, temperate maritime, sub-tropic and arid climate, and Mediterranean climates, with the soil type of clay, duplex soil, vertisol, silt sandy, silt loam and silt clay loam. More than 20 crops have been simulated well. APSIM is powerful on describing crop structure, crop sequence, yield prediction, and quality control as well as erosion estimation under different planting pattern.