Your search found 9 records
1 McPhee, R. D.; Tompkins, R. D. (Eds.) 1985. Organizational communication: Traditional themes and new directions. Beverly Hills, CA, USA: Sage Publications. 296 p. (Sage annual reviews of communication research, vol. 13)
(Location: IWMI-HQ Call no: 302.35 G000 MCP Record No: H01788)
2 Cernea, M. M. Evaluation of farmers' reaction to extension advise: A comment. In M. M. Cernea; Coulter, J. K.; Russell, J. F. A. (Eds.), Agricultural extension by training and visit: The Asian experience. A World Bank and UNDP symposium. pp.132-139.
Farmers' attitudes ; Extension ; Research policy ; Network analysis ; Personnel ; Performance evaluation
(Location: IWMI-HQ Call no: 631 G000 CER Record No: H04120)
3 Nandalal, K. D. W.; Simonovic, S. P. (Ed.) 2003. State-of-the-art report on systems analysis methods for resolution of conflicts in water resources management: a report prepared for Division of Water Sciences UNESCO. Paris, France: UNESCO, IHP; Paris, France: World Water Assessment Programme. 127p. (Technical Documents in Hydrology PCCP Series 4)
Water resource management ; Conflict ; Network analysis ; Systems analysis ; Decision support systems ; Simulation models ; Case studies
(Location: IWMI HQ Call no: e-copy only Record No: H043302)
(3.01 MB) (3.01 MB)
4 Chaudhury, A. S.; Thornton, T. F.; Helfgott, A.; Ventresca, M. J.; Sova, C. 2017. Ties that bind: local networks, communities and adaptive capacity in rural Ghana. Journal of Rural Studies, 53:214-228. [doi: https://doi.org/10.1016/j.jrurstud.2017.05.010]
Climate change ; Rural communities ; Agriculture ; Adaptation ; Indicators ; Social structure ; Network analysis ; Households ; Socioeconomic environment ; Living standards ; Nongovernmental organizations ; Uncertainty / Ghana / Orbili
(Location: IWMI HQ Call no: e-copy only Record No: H048181)
(2.16 MB)
Current models of adaptation to climate change focus on common causes of vulnerability among individuals and communities in an attempt to improve their capacity to adapt. These models tend to neglect the impact on vulnerability of local relationships that include political and economic power structures. We use social network analysis to examine the connectivity and positions of vulnerable rural households and their capacity to adapt. We collected empirical data from a community of 58 smallholders in upper west Ghana on external relations with 'local actors' that are independent, operate beyond the community yet have direct relations with the community. These connections provide important resources and knowledge to build adaptive capacity that would not be generated from within the community. Our results highlight that certain external relations expose households to knowledge and other forms of capital, which in turn strengthen their ability to access and mobilise resources to respond to environmental change. However, not all external relations offer equal opportunities, which results in a stratified community and variation in the households’ capacity to adapt. The network approach also identifies points where local actors can link communities and households to remote agencies crucial for planning and implementing effective adaptation.
5 Distefano, T.; Riccaboni, M.; Marin, G. 2018. Systemic risk in the global water input-output network. Water Resources and Economics, 23:28-52. [doi: https://doi.org/10.1016/j.wre.2018.01.004]
Virtual water ; International trade ; Risk assessment ; Network analysis ; Water resources ; Water supply ; Water availability ; Water productivity ; Water use ; Economic aspects ; Models ; Databases
(Location: IWMI HQ Call no: e-copy only Record No: H048911)
(3.92 MB)
The issue of water access and security has been emphasized in the recent policy debate on sustainable development (Sustainable Development Goal No. 6) and adaptation to climate change (CoP21 in Paris, 2015). This study provides new evidence about the Blue Virtual Water Input-Output Network. The main novelty of our approach is the combination of Structural Decomposition Analysis (SDA) with Network Theory. SDA reveals that size-related, technological and structural components have contributed substantially to changes in virtual water use. Network analysis offers new insights about the vulnerability of the system to shocks through trade links across country-sector pairs. Our analysis highlights a possible trade-off in the increasing importance of virtual water trade: the efficiency improvement in granting access to virtual water might come at the cost of increasing systemic vulnerability.
Overall, the great unbalance between water availability and usage combined with rigidity of global consumption and production networks and the risk of cascade effects imply increasing vulnerability of the virtual water network to shocks propagation.
Overall, the great unbalance between water availability and usage combined with rigidity of global consumption and production networks and the risk of cascade effects imply increasing vulnerability of the virtual water network to shocks propagation.
6 Horvath, S.- M.; Muhr, M. M.; Kirchner, M.; Toth, W.; Germann, V.; Hundscheid, L.; Vacik, H.; Scherz, M.; Kreiner, H.; Fehr, F.; Borgwardt, F.; Guhnemann, A.; Becsi, B.; Schneeberger, A.; Gratzer, G. 2022. Handling a complex agenda: a review and assessment of methods to analyse SDG entity interactions. Environmental Science and Policy, 131:160-176. (Online first) [doi: https://doi.org/10.1016/j.envsci.2022.01.021]
Sustainable Development Goals ; Assessment ; Interactions ; Indicators ; Synergism ; Policy coherence ; Statistical methods ; Collaboration ; Models ; Network analysis
(Location: IWMI HQ Call no: e-copy only Record No: H050937)
https://www.sciencedirect.com/science/article/pii/S1462901122000351/pdfft?md5=092037f5be9c77a2b4475bab596c75c6&pid=1-s2.0-S1462901122000351-main.pdf
https://vlibrary.iwmi.org/pdf/H050937.pdf
https://vlibrary.iwmi.org/pdf/H050937.pdf
(2.78 MB) (2.78 MB)
The interlinked character of the 2030 Agenda poses both a challenge and an opportunity in terms of coherent policy making. Accordingly, different methods have been used in approaching the interactions between SDG entities (goals, targets, indicators, policies, external entities) in several recent publications.
In this paper, we provide a review and assessment of methods used for analysing SDG entity interactions. Specifically, we assess the suitability of these methods for addressing policy coherence at different levels and from different perspectives.
A total of 30 methods are categorised into argumentative, literature, linguistic, simulation, statistical, and other quantitative methods and are examined with expert elicitation applying a range of criteria on the basis of the following factors: the ability to give detailed information about effects between SDG entities, practicability, sensitivity to interdisciplinarity, and collaboration and systems thinking.
No single method, category, or research tradition (i.e. quantitative or qualitative) can be regarded as the most suitable for analysing SDG entity interactions. Quantitative methods (i.e. statistical, simulation, and other quantitative) are most frequently applied in the scientific context, although assessment results suggest that argumentative methods are particularly useful for obtaining information about effects while enabling interdisciplinarity and collaboration. In contrast, literature, linguistic, and quantitative methods can not be used to process different kinds of information. However, regarding the effort required, quantitative methods (except simulation methods) seem to require fewer resources. Although argumentative methods are evaluated best overall in our assessment, different implementation contexts and the importance assigned to the criteria may justify the application of most other methods as well.
In this paper, we provide a review and assessment of methods used for analysing SDG entity interactions. Specifically, we assess the suitability of these methods for addressing policy coherence at different levels and from different perspectives.
A total of 30 methods are categorised into argumentative, literature, linguistic, simulation, statistical, and other quantitative methods and are examined with expert elicitation applying a range of criteria on the basis of the following factors: the ability to give detailed information about effects between SDG entities, practicability, sensitivity to interdisciplinarity, and collaboration and systems thinking.
No single method, category, or research tradition (i.e. quantitative or qualitative) can be regarded as the most suitable for analysing SDG entity interactions. Quantitative methods (i.e. statistical, simulation, and other quantitative) are most frequently applied in the scientific context, although assessment results suggest that argumentative methods are particularly useful for obtaining information about effects while enabling interdisciplinarity and collaboration. In contrast, literature, linguistic, and quantitative methods can not be used to process different kinds of information. However, regarding the effort required, quantitative methods (except simulation methods) seem to require fewer resources. Although argumentative methods are evaluated best overall in our assessment, different implementation contexts and the importance assigned to the criteria may justify the application of most other methods as well.
7 Carneiro, B.; Resce, G.; Laderach, P.; Schapendonk, F.; Pacillo, G. 2022. What is the importance of climate research? An innovative web-based approach to assess the influence and reach of climate research programs. Environmental Science and Policy, 133:115-126. (Online first) [doi: https://doi.org/10.1016/j.envsci.2022.03.018]
Climate change ; Research programmes ; CGIAR ; Food security ; Climate-smart agriculture ; Diffusion of information ; Innovation ; Internet ; Social media ; Digital technology ; Network analysis ; Text mining ; Stakeholders ; Policies
(Location: IWMI HQ Call no: e-copy only Record No: H051061)
https://www.sciencedirect.com/science/article/pii/S1462901122001058/pdfft?md5=ed4fd9f06b7706fcb16a0699d66ba94d&pid=1-s2.0-S1462901122001058-main.pdf
https://vlibrary.iwmi.org/pdf/H051061.pdf
https://vlibrary.iwmi.org/pdf/H051061.pdf
(7.72 MB) (7.72 MB)
Many parts of the world are increasingly experiencing the effects of climate change, making climate adaptation of rural livelihoods crucial to secure social and economic resilience. While the past two decades have witnessed a significant evolution in climate adaptation policy, evaluating the impact of climate science on policy has remained a challenge. This study employs the Digital Methods epistemology to explore the dynamics of agriculture-focused climate science and changes in attitude towards Climate Smart Agriculture (CSA) and climate change, using the CGIAR Research Program on Climate Change, Agriculture and Food Security (CCAFS) as a case study. By considering online networks and narratives as evidence of “offline” influence, it effectively repurposes publicly available data from digital sources such as social media and websites by employing text mining and social network analysis to assess the influence and reach of the program among stakeholder at various levels. Results show that CCAFS has supported increased public awareness of CSA; that it actively engages with key actors within a network of stakeholders with more than 60 thousand members; that it has positively shifted the debate on climate adaptation among strategic partners through increased message alignment and space in the policy agenda; and that the program’s reach is potentially amplified to 5.8 M users on Twitter.
8 Nogues, Q.; Baulaz, Y.; Clavel, J.; Araignous, E.; Bourdaud, P.; Lasram, F. B. R.; Dauvin, J.-C.; Girardin, V.; Halouani, G.; Le Loc’h, F.; Loew-Turbout, F.; Raoux, A.; Niquil, N. 2023. The usefulness of food web models in the ecosystem services framework: quantifying, mapping, and linking services supply. Ecosystem Services, 63:101550. (Online first) [doi: https://doi.org/10.1016/j.ecoser.2023.101550]
Ecosystem services ; Food chains ; Models ; Mapping ; Ecosystem management ; Network analysis ; Climate change ; Wind farms ; Resilience ; Biodiversity ; Indicators ; Anthropogenic factors / France
(Location: IWMI HQ Call no: e-copy only Record No: H052205)
(8.03 MB)
Coastal ecosystems provide a wide range of valuable ecosystem services (ES) for human wellbeing. Such services depend on the functioning and structure of ecosystems. Unfortunately, these ecosystems are threatened by humans, directly impairing their ability to provide these services. In order to predict such changes, we used a food web model to forecast potential spatial changes in ES supply in the Seine Bay (English Channel), due to climate change effects (CC) and the setup of an offshore wind farm (OWF). Three ES were studied, food production from fishing, top predator production for cultural purposes and the potential resistance of the ecosystem inferred from its organization. The ability of the Seine Bay ecosystem to produce food appears to be negatively impacted by the effect of climate change. Because of the important economic role of fishing in Normandy, such changes could percolate on the entire social and economic system of the bay. The Courseulles-sur-Mer offshore wind farm appears to increase the supply of services and limit the impact of climate change at the local spatial scale, which could give stakeholders insights into mitigating the effects of climate change. Such ecosystem approach enables for a more integrative view of ES supply, through the characterization of the entire system functioning.
9 Yu, S.; Peng, J.; Xia, P.; Wang, Q.; Grabowski, R. C.; Azhoni, A.; Bala, B.; Shankar, V.; Meersmans, J. 2023. Network analysis of water-related ecosystem services in search of solutions for sustainable catchment management: a case study in Sutlej-Beas River systems, India. Ecosystem Services, 63:101557. [doi: https://doi.org/10.1016/j.ecoser.2023.101557]
Ecosystem services ; Watershed management ; Network analysis ; Land use ; Flooding ; Mitigation ; Stakeholders ; Water conservation ; Water power ; Case studies / India / Sutlej-Beas River
(Location: IWMI HQ Call no: e-copy only Record No: H052352)
(8.57 MB)
Hydrological processes and ecosystem interactions are instrumental in sustaining local populations by providing various water-related ecosystem services (ES). Numerous studies gave priority to the theories and methods of building networks that emphasized different stakeholders. However, little study has examined the complex relationships among water-related ES themselves and how relevant human activities affect ES networks. To narrow this gap, in this study we quantified four critical water-related ES (flood mitigation, hydropower production, soil retention, and water conservation), set up six ES network types based on the synergy relationship, and further explored the effect of human activities on these networks. The results showed that among six ES network categories, networks with four fully linked ES occupied a large percentage of 23.20% while the network with one central ES linking two others accounted for the lowest percentage (9.28%). Compared with other ES, soil retention tended to be less centralized within the networks. In addition, land use intensity was found to greatly influence the ES networks compared with other indicators, especially for less complex networks. Our results highlighted the importance of network analysis in searching solutions for sustainable catchment management.
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