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  • 1
    Electronic Resource
    Electronic Resource
    Palo Alto, Calif. : Annual Reviews
    Annual Review of Physiology 67 (2005), S. 177-201 
    ISSN: 0066-4278
    Source: Annual Reviews Electronic Back Volume Collection 1932-2001ff
    Topics: Medicine , Biology
    Notes: Recent meta-analyses have shown that the effects of climate change are detectable and significant in their magnitude, but these studies have emphasized the utility of looking for large-scale patterns without necessarily understanding the mechanisms underlying these changes. Using a series of case studies, we explore the potential pitfalls when one fails to incorporate aspects of physiological performance when predicting the consequences of climate change on biotic communities. We argue that by considering the mechanistic details of physiological performance within the context of biophysical ecology (engineering methods of heat, mass and momentum exchange applied to biological systems), such approaches will be better poised to predict where and when the impacts of climate change will most likely occur.
    Type of Medium: Electronic Resource
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  • 2
    Publication Date: 2021-02-08
    Description: Ecologists must understand how marine life responds to changing local conditions, rather than to overall global temperature rise, say Amanda E. Bates and 16 colleagues.
    Type: Article , PeerReviewed
    Format: text
    Format: audio
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  • 3
    Publication Date: 2022-01-31
    Description: The diversity of life in the sea is critical to the health of ocean ecosystems that support living resources and therefore essential to the economic, nutritional, recreational, and health needs of billions of people. Yet there is evidence that the biodiversity of many marine habitats is being altered in response to a changing climate and human activity. Understanding this change, and forecasting where changes are likely to occur, requires monitoring of organism diversity, distribution, abundance, and health. It requires a minimum of measurements including productivity and ecosystem function, species composition, allelic diversity, and genetic expression. These observations need to be complemented with metrics of environmental change and socio-economic drivers. However, existing global ocean observing infrastructure and programs often do not explicitly consider observations of marine biodiversity and associated processes. Much effort has focused on physical, chemical and some biogeochemical measurements. Broad partnerships, shared approaches, and best practices are now being organized to implement an integrated observing system that serves information to resource managers and decision-makers, scientists and educators, from local to global scales. This integrated observing system of ocean life is now possible due to recent developments among satellite, airborne, and in situ sensors in conjunction with increases in information system capability and capacity, along with an improved understanding of marine processes represented in new physical, biogeochemical, and biological models.
    Type: Article , PeerReviewed , info:eu-repo/semantics/article
    Format: text
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  • 4
    Publication Date: 2022-01-31
    Description: Rapid anthropogenic climate change is a major threat to ocean biodiversity, increasing the challenge for marine conservation. Strategic conservation planning, and more recently marine spatial planning (MSP) are among the most promising management tools to operationalize and enforce marine conservation. As yet, climate change is seldom incorporated into these plans, potentially curtailing the effectiveness of designated conservation areas under novel environmental conditions. Reliable assessment of current and future climate change threats requires the ability to map climate-driven eco-evolutionary changes and the identification of vulnerable and resistant populations. Here we explore the heretofore largely unrecognized value of information gained from physiological, ecological and evolutionary studies to MSP under ongoing climate change. For example, we explore how climate threats do not necessarily follow latitudinal gradients, such that both risk hotspots and refugia occur in mosaic distributions along species ranges - patterns that may be undetectable without knowledge of biological vulnerabilities at regional and local scales. Because co-occurring species can exhibit markedly different vulnerabilities to the same environmental changes, making ecological predictions requires, when possible, measuring the fundamental niches of key species (e.g., with the use of thermotolerance experiments). Forecasting also requires development of tools to identify the likelihood of community-level thresholds or tipping points (e.g., with the use of near-real world mesocosms), and assessment of the potential of populations for adaptation (e.g., with common garden experiments). Such research will facilitate better predictive models for the fate of populations, species, ecosystems and their functions. Ultimately, unfolding the complexity of the processes underlying climate change impacts will facilitate quantifying and reducing uncertainty in spatial planning decision processes and will enable the development of practical tools to validate adaptive conservation strategies.
    Type: Article , PeerReviewed
    Format: text
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  • 5
    Publication Date: 2021-01-26
    Description: The diversity of life in the sea is critical to the health of ocean ecosystems that support living resources and therefore essential to the economic, nutritional, recreational, and health needs of billions of people. Yet there is evidence that the biodiversity of many marine habitats is being altered in response to a changing climate and human activity. Understanding this change, and forecasting where changes are likely to occur, requires monitoring of organism diversity, distribution, abundance, and health. It requires a minimum of measurements including productivity and ecosystem function, species composition, allelic diversity, and genetic expression. These observations need to be complemented with metrics of environmental change and socio-economic drivers. However, existing global ocean observing infrastructure and programs often do not explicitly consider observations of marine biodiversity and associated processes. Much effort has focused on physical, chemical and some biogeochemical measurements. Broad partnerships, shared approaches, and best practices are now being organized to implement an integrated observing system that serves information to resource managers and decision-makers, scientists and educators, from local to global scales. This integrated observing system of ocean life is now possible due to recent developments among satellite, airborne, and in situ sensors in conjunction with increases in information system capability and capacity, along with an improved understanding of marine processes represented in new physical, biogeochemical, and biological models.
    Repository Name: EPIC Alfred Wegener Institut
    Type: Article , isiRev
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  • 6
    Publication Date: 2022-05-18
    Description: A rapid assessment of biodiversity in the immediate wake of civil conflict and other ‎disasters is critical to inform recovery efforts. We report on the first surveys of aquatic ‎biodiversity in Khor Al-Zubair (KAZ) in southern Iraq, following the cessation of recent ‎violence in the region. This site is in the midst of ongoing environmental changes due to ‎climate change and reductions in water flow from the Tigris and Euphrates rivers, which ‎have led to increases in salinity in the KAZ. Monthly surveys of biodiversity were ‎conducted in 2017-2018 and compared to historical data from the site obtained from a ‎literature survey. Results indicate a loss of 80% of species richness, suggesting a ‎fundamental and potential catastrophic decline in species diversity resulting from largely ‎anthropogenic drivers.‎
    Description: Published
    Description: Refereed
    Keywords: biodiversity; Iraq; mudflat; warfare ecology ; Biodiversity ; ASFA_2015::M::Mud flats ; ASFA_2015::B::Biodiversity ; ASFA_2015::B::Brackishwater ecology
    Repository Name: AquaDocs
    Type: Journal Contribution
    Format: 76-95
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  • 7
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    Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu
    Publication Date: 2022-10-31
    Description: Dataset: rocky intertidal biomimic
    Description: At a proximal level, the physiological impacts of global climate change on ectothermic organisms are manifest as changes in body temperatures. Especially for plants and animals exposed to direct solar radiation, body temperatures can be substantially different from air temperatures. We deployed biomimetic sensors that mimic the thermal characteristics of intertidal mussels at 66 sites worldwide, from 1998-present. Loggers recorded temperatures at 10-15 minute intervals nearly continuously at multiple intertidal elevations. Comparisons against direct measurements of mussel tissue temperature suggest errors of ~2.0-2.5°C, during daily fluctuations that often exceed 15°-20°C. Geographic patterns in thermal stress based on biomimetic logger measurements were generally far more complex than anticipated based only on “habitat” level measurements, and show that animals are reaching temperatures far above air temperature on sunny days. This unique data set provides a means of assessing spatial and temporal variability in intertidal thermal stress, and links physiological measurements to field patterns. For a complete list of measurements, refer to the supplemental document 'Field_names.pdf', and a full dataset description is included in the supplemental file 'Dataset_description.pdf'. The most current version of this dataset is available at: http://www.bco-dmo.org/dataset/555780
    Description: NSF Division of Ocean Sciences (NSF OCE) OCE-0926581
    Keywords: Ecosystem ; Climate change ; Rocky intertidal ; Time series ; Water temperature ; Water depth ; Wind speed ; Wind direction ; Air temperature ; Air pressure ; Precipitation ; Relative humidity ; Solar radiation ; Body temperature ; Thermal stress
    Repository Name: Woods Hole Open Access Server
    Type: Dataset
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