- J.P. Fernández-Trujillo (1)
- P. Huntjens (1)
- A.M.J. Jaspers (1)
- M.M. Jowkar (1)
- P. Kabat (1)
- V. Krysanova (1)
- M. Martínková (1)
- A.J. Monforte (1)
- E. Moreno (3)
- J.M. Obando-Ulloa (2)
- C. Pahl-Wostl (1)
- J. Pedraza Carrera de (1)
- K. Pringle (1)
- C.W.J. Roest (1)
- N. Santos Don (1)
- M. Schlüter (1)
- R.E. Schouten (2)
- R. Slámová (1)
- L.M.M. Tijskens (2)
- J. Timmerman (1)
- C. Varela Ortega (1)
Cross-Comparison of Climate Change adaptation Strategies Across Large River Basins in Europe, Africa and Asia
Krysanova, V. ; Dickens, Ch. ; Timmerman, J. ; Varela Ortega, C. ; Schlüter, M. ; Roest, C.W.J. ; Huntjens, P. ; Jaspers, A.M.J. ; Buiteveld, H. ; Moreno, E. ; Pedraza Carrera, J. de; Slámová, R. ; Martínková, M. ; Blanco, I. ; Esteve, P. ; Pringle, K. ; Pahl-Wostl, C. ; Kabat, P. - \ 2010
Water Resources Management 24 (2010)14. - ISSN 0920-4741 - p. 4121 - 4160.
water-resources management - adaptive management - risk - vulnerability - regimes - impact
A cross-comparison of climate change adaptation strategies across regions was performed, considering six large river basins as case study areas. Three of the basins, namely the Elbe, Guadiana, and Rhine, are located in Europe, the Nile Equatorial Lakes region and the Orange basin are in Africa, and the Amudarya basin is in Central Asia. The evaluation was based mainly on the opinions of policy makers and water management experts in the river basins. The adaptation strategies were evaluated considering the following issues: expected climate change, expected climate change impacts, drivers for development of adaptation strategy, barriers for adaptation, state of the implementation of a range of water management measures, and status of adaptation strategy implementation. The analysis of responses and cross-comparison were performed with rating the responses where possible. According to the expert opinions, there is an understanding in all six regions that climate change is happening. Different climate change impacts are expected in the basins, whereas decreasing annual water availability, and increasing frequency and intensity of droughts (and to a lesser extent floods) are expected in all of them. According to the responses, the two most important drivers for development of adaptation strategy are: climate-related disasters, and national and international policies. The following most important barriers for adaptation to climate change were identified by responders: spatial and temporal uncertainties in climate projections, lack of adequate financial resources, and lack of horizontal cooperation. The evaluated water resources management measures are on a relatively high level in the Elbe and Rhine basins, followed by the Orange and Guadiana. It is lower in the Amudarya basin, and the lowest in the NEL region, where many measures are only at the planning stage. Regarding the level of adaptation strategy implementation, it can be concluded that the adaptation to climate change has started in all basins, but progresses rather slowly
Postharvest firmness behaviour of near-isogenic lines of melon
Tijskens, L.M.M. ; Dos-Santos, N. ; Jowkar, M.M. ; Obando-Ulloa, J.M. ; Moreno, E. ; Schouten, R.E. ; Monforte, A.J. ; Fernández-Trujillo, J.P. - \ 2009
Postharvest Biology and Technology 51 (2009)3. - ISSN 0925-5214 - p. 320 - 326.
fruit-quality traits - total soluble solids - nonclimacteric behavior - storage - cultivars - maturity - ethylene - texture - 1-methylcyclopropene - identification
In two consecutive seasons the firmness of 13¿15 near-isogenic lines (NILs) of melons (Cucumis melo L.) was followed during storage at 21 °C. Firmness was measured using non-destructive compression of whole melon fruit to a predefined compression distance of 2 mm. The same individuals (about 6 per near-isogenic line) were repeatedly measured over time. Integral statistical analysis of all individuals using non-linear mixed effects regression analysis revealed that the rate constant of the exponential firmness decrease was the same for all NILs irrespective of their differences in introgression in linkage III or in the other two linkage groups. The only difference observed was found in the (asymptotic) end value of softening. That would imply that the process of softening is very similar, although over a different range for each melon. Melons from some NILs were firmer and showed a higher end value of softening than those of other NILs. The percentage variance accounted for () was 94% (523 observations) for the 2005 season and 85% (829 observations) for the 2006 season. A small variation in asymptotic end value together with a low end value as to ascertain edibility could be a good indication of the usefulness of certain NILs for commercial application.
First attempts of linking modelling, Postharvest behaviour and Melon Genetics
Tijskens, L.M.M. ; Santos, N. Don; Obando-Ulloa, J.M. ; Moreno, E. ; Schouten, R.E. - \ 2008
Acta Horticulturae 802 (2008). - ISSN 0567-7572 - p. 401 - 407.
The onset of climacteric is associated with the end of melon fruit shelf-life. The aim of this research was to develop practical and applicable models of fruit ripening changes (hardness, moisture loss) also able to discriminate between climacteric and non-climacteric behaviour. The decrease in firmness was measured non-destructively by flat-plate compression; moisture loss was measured by weight loss. A set of 13-15 near-isogenic lines (NILs) derived from the climacteric line SC3-5 was used to verify the relationship among the climacteric behaviour and ripening related changes (weight loss, softening and color) during two consecutive seasons. The biological variance models for moisture loss and firmness followed a simple exponential behaviour that explained more than 90% of the total variance. Results of the analyses using these models could not be linked to properties of near-isogenic lines like climacteric behaviour, ethylene production or skin thickness. The results suggest that the phenotype is more important than genotype, when considering mean values. These results seem to suggest that relations may exist between the different processes and properties of NILs on an individual basis, not on mean values.