Rethinking resilience and development: A coevolutionary perspective

The interdependence of social and ecological processes is broadly acknowledged in the pursuit to enhance human wellbeing and prosperity for all. Yet, development interventions continue to prioritise economic development and short-term goals with little consideration of social-ecological interdependencies, ultimately undermining resilience and therefore efforts to deliver development outcomes. We propose and advance a coevolutionary perspective for rethinking development and its relationship to resilience. The perspective rests on three propositions: (1) social-ecological relationships coevolve through processes of variation, selection and retention, which are manifest in practices; (2) resilience is the capacity to filter practices (i.e. to influence what is selected and retained); and (3) development is a coevolutionary process shaping pathways of persistence, adaptation or transformation. Development interventions affect and are affected by social–ecological relationships and their coevolutionary dynamics, with consequences for resilience, often with perverse outcomes. A coevolutionary approach enables development interventions to better consider social–ecological interdependencies and dynamics. Adopting a coevolutionary perspective, which we illustrate with a case on agricultural biodiversity, encourages a radical rethinking of how resilience and development are conceptualised and practiced across global to local scales.     

Climate change adaptation in the Schleswig-Holstein sector of the Wadden Sea: an integrated state governmental strategy

Anthropogenic climate change constitutes a main challenge for the Wadden Sea. Accelerated sea level rise, increasing temperatures and changing wind climate may strongly alter present structures and functions of the ecosystem with negative consequences both for nature conservation and for coastal risk management. Being aware of these challenges, Schleswig-Holstein State Government decided to establish an integrated climate change adaptation strategy for the Schleswig-Holstein sector of the Wadden Sea. The strategy was adopted in June 2015. It aims at the long-term maintenance of present functions and structures as well as the integrity of the Wadden Sea ecosystem in a changing climate. The strategy was prepared by a project group consisting of representatives from State authorities as well as from nature conservation organisations and local institutions. First outcome of the strategy is that extra adaptation measures will not be necessary in the coming decades. However, pending on the future rate of sea level rise, shoreline erosion and sediment deficits in the Wadden Sea will increase and sooner or later drowning of tidal flats and terrestrial habitats like beaches, primary dunes and salt marshes will start. At the time when management measures to counteract the negative developments become expedient from a nature conservation viewpoint as well as for coastal risk management, adequate actions with minimized ecological interferences are possible. It is assumed that balancing the sediment deficits as the main adaptation measure may be implemented most efficiently by concentrating sediment suppletion at locations where natural forces organize redistribution in the Wadden Sea. Local technical coastal risk management measures like the strengthening of sea defences will, nevertheless, remain necessary as well.     

Honey bee waggle dance communication: signal meaning and signal noise affect dance follower behaviour

Returning honey bee foragers perform waggle dances to inform nestmate foragers about the presence, location and odour of profitable food sources and new nest sites. The aim of this study is to investigate how the characteristics of waggle dances for natural food sources and environmental factors affect dance follower behaviour. Because food source profitability tends to decrease with increasing foraging distance, we hypothesised that the attractiveness of a dance, measured as the number of dance followers and their attendance, decreases with increasing distance to the advertised food location. Additionally, we determined whether time of year and dance signal noise, quantified as the variation in waggle run direction and duration, affect dance follower behaviour. Our results suggest that bees follow fewer waggle runs as the food source distance increases, but that they invest more time in following each dance. This is because waggle run duration increases with increasing foraging distance. Followers responded to increased angular noise in dances indicating more distant food sources by following more waggle runs per dance than when angular noise was low. The number of dance followers per dancing bee was also affected by the time of year and varied among colonies. Our results provide evidence that both noise in the message, that is variation in the direction component, and the message itself, that is the distance of the advertised food location, affect dance following. These results indicate that dance followers may pay attention to the costs and benefits associated with using dance information.     

Honeybees learn floral odors while receiving nectar from foragers within the hive

Recent studies showed that nectar odors brought back by honeybee foragers can be learned associatively inside the hive. In the present study, we focused on the learning abilities of bees, which directly interact via trophallaxis with the incoming nectar foragers: the workers that perform nectar-receiving tasks inside the hive. Workers that have received food directly from foragers coming back from a feeder offering either unscented or scented sugar solution [phenylacetaldehyde (PHE) or nonanal diluted] were captured from two observational hives, and their olfactory memories were tested using the proboscis extension response paradigm. Bees that have received scented solution from incoming foragers showed significantly increased response frequencies for the corresponding solution odor in comparison with those that have received unscented solution. No differences in the response frequencies were found between food odors and colonies. The results indicate that first-order receivers learn via trophallaxis the association between the scent and the sugar solution transferred by incoming foragers. The implications of these results should be considered at three levels: the operational cohesion of bees involved in foraging-related tasks, the information propagation inside the hive related to the floral type exploited, and the putative effect of these memories on future preferences for resources.     

Reproductive cycles and larval morphology of three Recent species of Argyrotheca (Terebratellacea: Brachiopoda) from Mediterranean submarine caves

Although the three examined species of Argyrotheca are quite common in the Mediterranean, little is known about their reproductive cycles. This study shows that Argyrotheca cordata and Argyrotheca cistellula have continuous breeding activity, indicated by the occurrence of ripe eggs and larvae in their brood pouches throughout the year. The absolute number of larvae found in the brood pouches of both species corresponds to the adult's size. The third species examined, Argyrotheca cuneata, tends to breed in autumn, with larvae only present in September and November, but the sample-size was small. Larval development is very similar in all three Argyrotheca species, each embryo going through a gastrula stage, a two-lobed and a three-lobed stage. Before leaving the brood pouch, the larvae have an apical lobe with a girdle of elongated cilia, a mantle lobe with a midventral band of cilia and a pedicle lobe without ciliation. The larvae of A. cordata and A. cuneata possess four bundles of larval setae, whereas A. cistellula shows no setae at all. Received: 6 November 1998 / Accepted: 15 March 1999     

Simulation of the influence of industrial wastewater on a municipal sewage treatment plant—a case study

Purpose  

Industrial wastewater flow caused operational difficulties in the wastewater treatment plant in Debrecen, Hungary. Bioaugmentation was successfully applied to maintain effluent quality in the periods when wastewater of high starch content was accepted, but, at the end of 2008, the nitrification capacity of the plant decreased considerably due to improperly pre-treated pharmaceutical wastewater.     

Grinding and sieving soil affects the availability of organic contaminants: a kinetic analysis

Field contaminated soils are often homogenized before application in bioassays and chemical assays that estimate the (bio)availability of their contaminants. The homogenization of the soil might affect the availability, and thereby the outcome of a bioassay might not reflect field situations. In this study, uptake kinetics of polycyclic aromatic hydrocarbons (PAH) by a negligible depletive passive sampler exposed to a ground and non-ground field contaminated soil were tested. The measurements illustrate how freely dissolved pore water concentrations of contaminants can be affected by soil treatment. It took more than a month, and over a year to reach steady state in the passive sampler exposed to the ground and non-ground soil, respectively. The uptake rate seemed to be limited by desorption from the soil, even though the fiber only extracted 0.2% of the soil-sorbed PAH at maximum. If these observations are translated to the field situation, where contaminants are not homogeneously distributed and disappear by (bio)degradation or physical transport processes, it is unlikely that pore water concentrations are solely determined by a thermodynamic equilibrium. Hence, exposure of organisms in these soils cannot always be estimated by sorption studies and an equilibrium partitioning approach.     

A framework for adaptive monitoring of the cumulative effects of human footprint on biodiversity

Effective ecological monitoring is imperative in a human-dominated world, as our ability to manage functioning ecosystems will depend on understanding biodiversity responses to anthropogenic impacts. Yet, most monitoring efforts have either been narrowly focused on particular sites, species and stressors — thus inadequately considering the cumulative effects of multiple, interacting impacts at scales of management relevance — or too unfocused to provide specific guidance. We propose a cumulative effects monitoring framework that integrates multi-scaled surveillance of trends in biodiversity and land cover with targeted evaluation of hypothesized drivers of change. The framework is grounded in a flexible conceptual model and uses monitoring to generate and test empirical models that relate the status of diverse taxonomic groups to the nature and extent of human “footprint” and other landscape attributes. An adaptive cycle of standardized sampling, model development, and model evaluation provides a means to learn about the system and guide management. Additional benefits of the framework include standardized data on status and trend for a wide variety of biodiversity elements, spatially explicit models for regional planning and scenario evaluation, and identification of knowledge gaps for complementary research. We describe efforts to implement the framework in Alberta, Canada, through the Alberta Biodiversity Monitoring Institute, and identify key challenges to be addressed.