Network governance and climate change adaptation: collaborative responses to the Queensland floods

Abstract This research examines ways to build adaptive capacity to climate change, through a case study of organisations that participated in the response to Queensland’s major flood disaster in Queensland in 2010/11. The research applied a network governance approach, including social network analysis and qualitative investigations, to the communities of Rockhampton, Emerald and Brisbane. The study was designed to compare social networks across a range of different geographical; functional; and institutional and regulatory contexts.Primary data were obtained from organisations involved in disaster management and water management, through a telephone survey conducted March – September 2012. The network analyses examined collaboration and communication patterns; changes in the network structure from routine management to flood operations; similarities and differences between the geographic regions, and whether collaboration was correlated with trust. A cultural values analysis was then performed to identify the key values of the network actors in each region. Two workshops were conducted in Rockhampton and Brisbane to disseminate the findings to stakeholders, as well as to obtain feedback through group activities.A total of 63 organisations participated in the study. As the network analyses and visualisations indicated that the Rockhampton and Emerald networks were tightly interconnected, a single ‘Central Queensland’ (CQ) network was used for all subsequent analyses. In both Brisbane and CQ, slightly higher levels of collaboration amongst organisations were recorded during flood periods compared with routine operations; and organisations tended to provide, as well as receive, information and/or resources from their collaborators. Overall, both networks appeared to feature high trust, with only a low level of difficult ties (problematic relationships) being reported.The cultural analyses identified patterns of common values amongst participating organisations. In Brisbane, respondents placed a high value on shared information systems and resources; shared communication and language; as well as on collaboration and flexibility. In the CQ network, there was a greater emphasis on local solutions, community wellbeing and longitudinal issues (such as post-disaster supply chains for recovery). The workshop activities suggested that the current structure of Local Disaster Management Groups was heavily influential on broader network participation; and that defining an ‘effective’ disaster response was a complex issue.This study has demonstrated that a network governance approach can provide new ways of understanding the core elements of adaptive capacity, in areas such as enablers and barriers to adaptation, and translating capacity into adaptation. The key implications for policy and practice include the need for stakeholders to drive adaptation to climate change through collaboration and communication; the need for stakeholders to share a common goal and language; the need for better engagement with community, diversity and Indigenous organisations; the need to establish collaboration outside of disaster events; and the need for network governance systems to play an important role in helping to facilitate climate change adaptation. The areas identified for future research included further methodological development and longitudinal studies of social networks, understanding effective modes of communication, and the influence of the changing nature of regional Australian communities on climate change adaptation.Please cite this report as:Kinnear, S, Patison, K, Mann, J, Malone, E, Ross, V 2013, Network governance and climate change adaptation: collaborative responses to the Queensland floods, National Climate Change Adaptation Research Facility, Gold Coast, pp. 113.This research examines ways to build adaptive capacity to climate change, through a case study of organisations that participated in the response to Queensland’s major flood disaster in Queensland in 2010/11. The research applied a network governance approach, including social network analysis and qualitative investigations, to the communities of Rockhampton, Emerald and Brisbane. The study was designed to compare social networks across a range of different geographical; functional; and institutional and regulatory contexts.Primary data were obtained from organisations involved in disaster management and water management, through a telephone survey conducted March – September 2012. The network analyses examined collaboration and communication patterns; changes in the network structure from routine management to flood operations; similarities and differences between the geographic regions, and whether collaboration was correlated with trust. A cultural values analysis was then performed to identify the key values of the network actors in each region. Two workshops were conducted in Rockhampton and Brisbane to disseminate the findings to stakeholders, as well as to obtain feedback through group activities.A total of 63 organisations participated in the study. As the network analyses and visualisations indicated that the Rockhampton and Emerald networks were tightly interconnected, a single ‘Central Queensland’ (CQ) network was used for all subsequent analyses. In both Brisbane and CQ, slightly higher levels of collaboration amongst organisations were recorded during flood periods compared with routine operations; and organisations tended to provide, as well as receive, information and/or resources from their collaborators. Overall, both networks appeared to feature high trust, with only a low level of difficult ties (problematic relationships) being reported.The cultural analyses identified patterns of common values amongst participating organisations. In Brisbane, respondents placed a high value on shared information systems and resources; shared communication and language; as well as on collaboration and flexibility. In the CQ network, there was a greater emphasis on local solutions, community wellbeing and longitudinal issues (such as post-disaster supply chains for recovery). The workshop activities suggested that the current structure of Local Disaster Management Groups was heavily influential on broader network participation; and that defining an ‘effective’ disaster response was a complex issue.This study has demonstrated that a network governance approach can provide new ways of understanding the core elements of adaptive capacity, in areas such as enablers and barriers to adaptation, and translating capacity into adaptation. The key implications for policy and practice include the need for stakeholders to drive adaptation to climate change through collaboration and communication; the need for stakeholders to share a common goal and language; the need for better engagement with community, diversity and Indigenous organisations; the need to establish collaboration outside of disaster events; and the need for network governance systems to play an important role in helping to facilitate climate change adaptation. The areas identified for future research included further methodological development and longitudinal studies of social networks, understanding effective modes of communication, and the influence of the changing nature of regional Australian communities on climate change adaptation

Monitoring Animal Behaviour and Environmental Interactions Using Wireless Sensor Networks, GPS Collars and Satellite Remote Sensing

Remote monitoring of animal behaviour in the environment can assist in managing both the animal and its environmental impact. GPS collars which record animal locations with high temporal frequency allow researchers to monitor both animal behaviour and interactions with the environment. These ground-based sensors can be combined with remotely-sensed satellite images to understand animal-landscape interactions. The key to combining these technologies is communication methods such as wireless sensor networks (WSNs). We explore this concept using a case-study from an extensive cattle enterprise in northern Australia and demonstrate the potential for combining GPS collars and satellite images in a WSN to monitor behavioural preferences and social behaviour of cattle

Exploring the social behaviour of cattle: the effect of the presence of familiar and unfamiliar individuals

© 2011 Dr. Kym Patricia PatisonThe social behaviour of cattle encompasses a large range of affiliative and agonistic behaviours. The collection of these behaviours contributes to the overall social structure, which influences how a group functions and survives. Dominance behaviour has been a large focus of the existing literature on cattle social behaviour, with less emphasis on the affiliative behaviours that contribute to group cohesion. Affiliative behaviours are displayed between familiar individuals with established social relationships, however, details on the process of familiarisation and the underlying social properties of a cattle relationship remain largely unexplored. Over a series of experiments, this thesis explored the affiliative behaviours involved in relationship development between unfamiliar steers in different social contexts. The first experiment presented in Chapter 5 examined the trade off individual steers make between a food-reward and maintaining close proximity to a peer with which they were either familiar or unfamiliar. This experiment analysed the impact of familiarity on an individual steer’s feeding motivation. It was found that the presence of an unfamiliar pen mate impacted on the test steer’s decision to move away and consume food, while steers paired with familiar pen mates were more willing to consume food at greater distances. It was suggested that the presence of an unfamiliar steer as well as isolation from familiar group mates in an artificial environment elicited a stress response that modified the steer’s behaviour. Chapter 6 describes a pair-wise experiment quantifying the changes in temporal and spatial associations between pairs of steers during familiarisation, where inter-individual distance, behaviour, movement and encounter patterns of pairs of familiar and unfamiliar steers were compared over a 5 day period. It was shown that unfamiliarity affected behaviour, movement, close proximity encounters and inter-individual distance. Relationships had begun to develop between the unfamiliar steers within 3 days, yet consistent treatment differences revealed that relationships had not stabilised after 5 days. Based on the findings from the first two experiments, it was concluded that the presence of an unfamiliar peer created stress, which affected the steer’s behavioural patterns in both artificial and natural physical environments. A triad based experiment is detailed in Chapter 7, where an unfamiliar steer was introduced into a pair of familiar steers and the resultant changes in social encounters were monitored over a 5.5 day period. It was found that the introduction of the unfamiliar steer led to an increase in close proximity encounters between the familiar pair due to social disruption. To analyse the data in greater detail the same experiment was re-analysed in Chapter 8 using a new social network related method: the relational event model. The model was used to analyse the sequences of social encounters between the three steers and identify patterns of encounters indicative of relationship development. The model identified the importance of pair-wise relationships and described characteristics of an established social bond between two steers. It was shown that familiarisation with the unfamiliar steer was hindered by the familiar peers providing social support for each other which led to the exclusion of the third steer. The model also revealed how social processes unfold in sub-groups of steers and structural differences between dyads and triads of steers were identified. A second application of the model presented in Chapter 9 described the encounter characteristics of a socially stable group of steers, where both dyadic and triadic encounters were identified as important features of the steers’ social system. The research demonstrates that relational event modelling provides a novel predictive tool to identify and analyse the complex encounter structures of steers during periods of social disruption as well as social stability. It was also shown that proximity logging devices can be used to quantify the social relationships of cattle and differentiate between the encounter patterns of familiar and unfamiliar steers. This thesis identified emergent properties of social relationships in steers and described the social properties of dyads and triads of steers. This work will enable future studies on cattle social systems to take into account the influence of dyadic and triadic pressures on social processes in order to interpret the higher order processes more clearly. Further work is required to investigate the importance of other sub-group sizes on the social dynamics of larger groups: such work would continue to develop an understanding of the underlying social principles of cattle social systems, which has the potential to provide benefits not only to scientists, but also producers and the welfare of domestic cattle

Using walk-over-weighing technology for parturition date determination in beef cattle

The northern Australian beef industry is dominated by cow-calf operations where reproductive efficiency is a major profit driver. The postpartum anoestrus interval is a major contributor to an animal's reproductive efficiency and is influenced by genetic selection. The genetic trait that measures an animal's postpartum anoestrus interval is the days to calving estimated breeding value and a key requirement is knowledge of the cow's calving date. Traditionally calving date is recorded using laborious and costly methods that are impeding the recording and hence the accuracy of genetic predictions for this trait by the northern Australian seedstock industry. The present experiment used Walk-over-Weighing technology to automatically record animal weights as cattle enter a restricted area where they access water. With the use of a novel method to accurately assess weights, the growth paths of cows were tracked from late gestation to post-calving. The calving date was visualised in the growth paths of most cows (78.3%) and a custom algorithm was able to automatically detect the calving date within 10 days of the observed calving period for 63% of cows. The use of Walk-over-Weighing to record calving date provides the opportunity to increase the recording of the days to calving estimated breeding value in the northern seedstock industry, thereby increasing reproductive efficiency and improving the profitability of northern beef producers. © CSIRO 2018 Open Access

A scoping study to assess the precision of an automated radiolocation animal tracking system

The spatial precision of a new automated radiolocation animal tracking system (ARATS) was studied in a small-scale (5 ha) trial site. Twelve static tags, in a four by three grid, transmitted for 28 days. The 12 tags recorded 36,452 transmissions with a mean transmission per tag of 3037. Each transmission included the tag number, date and time and the calculated longitude and latitude. The mean location and then the Euclidean distance from the mean location for each tag were calculated in order to derive location precision per tag. The overall precision for the 12 tags was ±22 m with a SD of 49 m with the most and least precise tags having precisions of ±8 m and ±51 m, respectively. As with other geolocation technologies, it would appear that structures in the environment cause signal propagation effects including multipath and non-line-of-sight, which result in errors in the derived locations. The distance from the mean data was log transformed (log10) and summarised in order to present all data over a 24-h period. There was a statistically significant decrease in precision between 11:00 and 17:00 h. These data were correlated with meteorological parameters for the period of the trial, again summarised over 24 h, with temperature, humidity, wind speed and pressure all having significant correlations with the precision data. The variance between individual tag transmissions were compared to see whether the distance between derived locations increased as time between transmissions increased. The means for each tag showed the same variance as the mean precision values, that is the more precise tags had lower means and the less precise tags had higher means. However, no tags showed a trend towards an increase in the distance between locations as the time between transmissions increased. In order to assess whether there was any spatial variability in the derived locations, the variability in distance between tags was compared for all tag combinations. Tags that were proximal to each other had shorter distances between the mean derived locations and less variance, whereas tags farther apart had large distances and large variance in the mean derived locations. The ARATS assessed in this static evaluation showed a lower level of spatial precision than commercially available global positioning systems. However the system could still have application when used to derive proximal associations between animals in low stocking-rate, extensive grazing situations such as are present in northern Australia

Using walk-over-weighing technology for parturition date determination in beef cattle

Corbet, NJ ORCiD: 0000-0002-7468-2177The northern Australian beef industry is dominated by cow-calf operations where reproductive efficiency is a major profit driver. The postpartum anoestrus interval is a major contributor to an animal's reproductive efficiency and is influenced by genetic selection. The genetic trait that measures an animal's postpartum anoestrus interval is the days to calving estimated breeding value and a key requirement is knowledge of the cow's calving date. Traditionally calving date is recorded using laborious and costly methods that are impeding the recording and hence the accuracy of genetic predictions for this trait by the northern Australian seedstock industry. The present experiment used Walk-over-Weighing technology to automatically record animal weights as cattle enter a restricted area where they access water. With the use of a novel method to accurately assess weights, the growth paths of cows were tracked from late gestation to post-calving. The calving date was visualised in the growth paths of most cows (78.3%) and a custom algorithm was able to automatically detect the calving date within 10 days of the observed calving period for 63% of cows. The use of Walk-over-Weighing to record calving date provides the opportunity to increase the recording of the days to calving estimated breeding value in the northern seedstock industry, thereby increasing reproductive efficiency and improving the profitability of northern beef producers. © CSIRO 2018 Open Access

Validation of accelerometer use to measure suckling behaviour in northern Australian beef calves

Knowledge of suckling behaviour in beef calves is important for understanding the health and wellbeing of both cows and calves. The present study was conducted to explore the use of tri-axial accelerometers to identify suckling bouts and suckling duration per bout in beef calves under free-range conditions. Three experiments were conducted: Experiment 1 was conducted to develop a model to characterise suckling in calves; Experiments 2 and 3 were conducted to apply the model when cattle were managed in pastoral paddock conditions. One Holstein Friesian and one Droughtmaster cow-calf pair were used in Experiment 1 for 2 days. The tri-axial accelerometer was fitted to a neck collar of the Droughtmaster calf and at the bottom and the right side of a halter on a Holstein Friesian calf on consecutive days. The initial model was developed using data collected from one calf for one day only to classify accelerometer data into suckling and non-suckling periods. In Experiment 2, 24 Belmont Red calves with accelerometers attached on the right side of the halters were visually observed for 10 days. The model was applied to raw data obtained through use of the accelerometers and the model could be used to successfully identify 98.8% of suckling bouts when compared with visually recorded behavioural data. The average suckling duration per bout recorded by accelerometers was 9.72 ± 0.20 min, whereas visually it was 9.32 ± 0.19 min. In Experiment 3, 20 Brahman calves fitted with accelerometers were visually observed for 6 h for 3 consecutive days. The model could be used to identify 95% of suckling bouts from the accelerometer data, corresponding to total number of suckling bouts observed visually. The average suckling duration per bout recorded by accelerometers was 13.69 ± 1.82 min, while with visual observations was 12.23 ± 1.77 min. The results indicate that accelerometers are a very effective tool to record suckling behaviour in beef calves in pastoral paddock conditions. © 2018 Elsevier B.V

Using temporal associations to determine postpartum oestrus in tropical beef cows

The radio frequency identification (RFID) technology introduced with the National Livestock Identification System has increased the precision of livestock management. Tag readers incorporated in walk-over-weighing systems have enabled automated collection of daily RFID sequential data as cattle access water. The temporal sequence of individuals accessing a watering point in a rangeland grazing system could potentially provide knowledge of key aspects of animal behaviour. The current study investigated the use of the shortest daily average interval of time from cow to bull (TTB) coming to water over a 29-day period to predict postpartum oestrus events. Fifteen Brahman and 15 Belmont Red cows mated to bulls of the same breed in separate paddocks were fitted with proximity loggers, heat-mount detectors and were ovarian-scanned with ultrasonics to determine the timing of postpartum oestrus. The data collected from these devices were compared with RFID sequence data of the bulls following cows to water to evaluate whether TTB alone could predict oestrus activity. At the start of the experimental period, mean (±s.d.) weight and days postpartum of the Brahman cows were 527 (±43.4) kg and 89 (±18.4) days respectively, and of the Belmont Red cows 513 (±54.1) kg and averaged 66 (±19.6) days postpartum. Six of the 15 Brahman cows and 9 of the 15 Belmont Red cows displayed oestrus activity, as indicated by increased contact with the bull, an activated heat-mount detector and the presence of an ovarian corpus luteum. The sensitivity and specificity of TTB as an indicator of oestrus events across the groups were 0.65 and 0.60 respectively. Temporal sequence data have the potential to contribute to the determination of oestrus and date of conception. © 2018 CSIRO

Using temporal associations to determine maternal parentage in extensive beef herds

The assignment of maternal parentage, although time-consuming and expensive using traditional methods, is essential for genetic improvement. Within the sheep industry the recording of time-based (temporal) associations without human intervention has been routinely used to derive maternal parentage, however it has not been researched in extensive beef production systems. To determine whether temporal associations could be used to assign maternal parentage, cows and calves had their identity recorded as they walked to water over a 27-day trial. Two methods of association were investigated, being the half-weight index and the time difference between a cow and calf having their identity recorded. The half-weight index, which is a measure of the number of times two individuals are recorded together, correctly assigned greater than 90% of maternal pairs. When investigating the duration of data recording it was shown that 85% of maternal parentage could be achieved within only 21 days. Further work is required to determine the effect of calf age, herd and paddock size; however, the results showed that the half-weight index method of determining maternal associations is a labour-saving and accurate alternative to traditional methods used to identify maternal parentage