Recent ecosystem dynamics in nine North African lakes in the CASSARINA Project

An integrated multi-disciplinary study of nine North African lakes (CASSARINA) aims to establish ecological baselines and to explore responses to 20th century human impacts on their ecosystems. Water chemistry measurements (1997–1998) demonstrate a wide range from dilute oligotrophic to calcareous freshwaters and from mildly brackish to hypersaline lagoons. The biota are consequently highly diverse. Aquatic ecosystem responses to environmental stress over the last 100–200 years in all nine lakes are summarised by detrended correspondence analysis (DCA) of plant and animal macrofossil, zooplankton, diatom, and pollen data from short sediment cores. DCA proved to be a powerful tool for summarising multi-proxy sediment records and ecosystem dynamics. Compositional changes measured by the DCAs have been very large and rapid, often over a few decades; as great as climate-controlled late-glacial changes over 2000 years and larger than most Holocene (11000 years) changes. These results emphasise the strength of human impact on the lakes and the surprisingly great resilience and dynamism of their ecosystems. The DCA summaries for the most recent decades indicate ecosystem disequilibrium in all the lakes, implying that their future stability is uncertain and that large or damaging changes may soon occur if the stresses are maintained. Thresholds have recently been passed in 3 lakes. During the project, Merja Bokka (Morocco) was drained and cultivated. The unique acid Megene Chitane (Tunisia) is in danger of drying up permanently due to water extraction. Freshwater diversion from Garaet El Ichkeul (Tunisia) has dramatically altered its wildlife habitat, as reed-marshes were replaced by salt-marsh and bare mud within 20 years. In contrast, the ecosystems of the Delta lakes (Egypt) have responded dramatically to the year-round inflow of fresh irrigation water controlled by Nile dams and the rise in the freshwater table due to inadequate drainage in the flat delta. The Project has demonstrated remarkably rapid responses by the lakes to environmental stresses. In particular, it highlights the threats to wetland-lake ecosystems in North Africa if uncontrolled exploitation continues.     

Measuring Functional Diversity in Plant Communities with MixedLife Forms: A Problem of Hardand Soft Attributes

This paper examines the functional relationships among species in an Australian rangeland community with mixed life forms. It follows a previous study (Walker and others 1999) that explored the role of dominant and minor species in maintaining functional diversity and resilience in a rangeland ecosystem. Unlike our previous results, which were based on estimates of five plant functional attributes, the dominant species in this second community apparently are functionally no more dissimilar to each other than to all other species. We suggest that the lack of clear results in mixed life form communities represents a confounding of the relationships between the “hard” attributes that actually govern how a plant performs in an ecosystem and the “soft” attributes that we use as surrogates. There are very few data on the hard functional attributes of plant species and consequently little information on precisely how the (soft) measurable traits are related to their imputed functions. What evidence there is shows that although the relationships are strong within life forms, they differ between life forms. This poses a problem for the development of research relating plant biodiversity to ecosystem function. Until such a database is developed, it will be very difficult to advance our understanding and measurement of functional diversity in mixed life form communities. Received 30 April 2001; Accepted 23 January 2002.     

An Overview of Coastal Environmental Health Indicators

Discussions of the coastal environment and its health can be improved by more precise use of terms and clarification of the relationship, if any, between the health of ecosystems and the risks to human health. Ecosystem health is seldom defined and, in any case, has to be regarded in different terms than human health. Ecosystem health should embody both the structure and function of the ecosystem. One attractive concept is to define the health of ecosystems in terms of their vigor, organization and resilience. From that perspective, the health of an ecosystem is reduced if it becomes a less vigorous producer of valuable living resources, less diverse and organized, and more susceptible to and slower to recover from stress. Useful indicators of ecosystem health should reflect these properties, but also be supported by understanding of cause and effect relationships generated through research. Significant challenges remain in the integration of indicators in terms of both their interrelationships and holistic significance. There is also a need to develop indicators that are relevant to emerging threats to coastal ecosystems.     

Differential effects of circadian typology on sleep-related symptoms,physical fatigue and psychological well-being in relation to resilience

Various physiological and psychological functions are influenced by circadian typology (CT), which was reported to be related to resilience. However, few studies have assessed the effects of CT in relation to resilience. The aim of the present study was to assess the influence of CT on sleep-related symptoms, physical fatigue and psychological well-being in relation to resilience. The present study included a total of 1794 healthy hospital employees, and they completed the Morningness–Eveningness Questionnaire, Connor–Davidson Resilience Scale, Pittsburgh Sleep Quality Index, Epworth Sleepiness Scale, Fatigue Severity Scale, Hospital Anxiety and Depression Scale and World Health Organization Quality of Life Scale Abbreviated Version. Subjects with evening type showed lower sleep quality, more daytime sleepiness and physical fatigue than neither types and morning types. Additionally, evening types were more depressed and anxious and reported a poorer quality of life. CT was found to be a significant predictor of sleep quality, but CT was minimally associated with physical fatigue and psychological well-being in the regression analysis. Instead, resilience was substantially related to all of the variables measured. In conclusion, CT independently predicts sleep quality, but the effects of CT on physical fatigue and psychological well-being are negligible compared to those of resilience.     

Analysis and evaluation of ecosystem resilience: an economic perspective with an application to the Venice lagoon

This paper focuses on the analysis and evaluation of resilience anchored in an economic perspective. Resilience, as well as most of the benefits provided by ecosystems, is not priced on current markets. However, this does not mean that resilience is of no value for humans. On the contrary, the interest of using an economic perspective, and the respective scientific methodology, will be put forward in terms of resilience relevance for ecosystem functioning, and its impact on human welfare. The economic perspective is anchored in an anthropocentric analysis evaluating resilience in terms of provision of natural capital benefits. These in turn are interpreted as insurance against the risk of ecosystem malfunctioning and the consequent interruption of the provision of goods and services to humans. For this analysis, we make use of a conceptual framework that identifies and describes the different value components of resilience. Finally, we present an illustration that discusses the economic analysis of resilience benefits in the context of the Venice Lagoon.     

Ecological thresholds: Concept,Methods and research outlooks

The concept of ecological thresholds was raised in the 1970s. However, it was subsequently given different definitions and interpretations depending on research fields or disciplines. For most scientists, ecological thresholds refer to the points or zones that link abrupt changes between alternative stable states of an ecosystem. The measurement and quantification of ecological thresholds have great theoretical and practical significance in ecological research for clarifying the structure and function of ecosystems, for planning sustainable development modes, and for delimiting ecological red lines in managing the ecosystems of a region. By reviewing the existing concepts and classifications of ecological thresholds, we propose a new concept and definition at two different levels: the ecological threshold points, i.e. the turning points of quantitative changes to qualitative changes, which can be considered as ecological red lines; the ecological threshold zones, i.e. the regime shifts of the quantitative changes among different stable states, which can be considered as the yellow and/or orange warning boundaries of the gradual ecological changes. The yellow thresholds mean that an ecosystem can return to a stable state by its self-adjustment, the orange thresholds indicate that the ecosystem will stay in the equilibrium state after interference factors being removed, whereas the red thresholds, as the critical threshold points, indicate that the ecosystem will undergo irreversible degradation or even collapse beyond those points. We also summarizes two types of popular Methods in determining ecological thresholds: statistical analysis and modeling based on data of field observations. The applications of ecological thresholds in ecosystem service, biodiversity conservation and ecosystem management research are also reviewed. Future research on ecological thresholds should focus on the following aspects: (1) methodological development for measurement and quantification of ecological thresholds; (2) emphasizing the scaling effect of ecological thresholds and establishment of national-scale observation system and network; and (3) implementation of ecological thresholds as early warning tools in ecosystem management and delimiting ecological red lines.     

Threshold response of Madagascar's littoral forest to sea-level rise

Aim Coastal biodiversity hotspots are globally threatened by sea‐level rise. As such it is important to understand how ecosystems resist, respond and adapt to sea‐level rise. Using pollen, geochemistry, charcoal and diatom records in conjunction with previously published palaeoclimatic records, we investigated the mechanism, interactions and ecosystem response and resilience of Madagascar's littoral forest to late Holocene sea‐level rise. Location Sediment sequences were collected along the south‐east coast of Madagascar in two adjacent habitats in Mandena; the highly diverse littoral forest fragment and species‐poor Erica‐matrix. Methods We used a multi‐proxy approach to investigate the relative influence of environmental changes on the littoral ecosystem. We reconstructed past vegetation and fire dynamics over the past 6500 years at two sites in the littoral forest using fossil pollen and macrofossil charcoal contained in sedimentary sequences. Alongside these records we reconstructed past marine transgressions from the same sedimentary sequences using geochemical analyses, and a salinity and drought index through the analysis of fossil diatoms. Results Our findings indicated that it was the synergistic effect of sea‐level rise coupled with rainfall deficits that triggered a threshold event with a switch from two types of littoral forest (an open Uapaca forest and a closed littoral forest fragment) to an Erica–Myrica heath/grassland occurring in approximately less than 100 years. Resilience to sea‐level rise differed in the two adjacent habitats, suggesting that the littoral forest fragment was more resilient to the impacts of sea‐level change and aridity than the open Uapaca woodland. Conclusions We demonstrated that the littoral ecosystem was influenced by late Holocene sea‐level rise and climatic desiccation. While climate change‐integrated conservation strategies address the effects of climate change on species distribution and dispersal, our work suggests that more attention should be paid to the impacts of interactive climatic variables that affect ecosystem thresholds.