Note: Front Cover -- Advanced Modelling Techniques Studying Global Changes in Environmental Sciences -- Copyright -- Contents -- Contributors -- Preface -- Chapter 1: Introduction: Global changes and sustainable ecosystem management -- 1.1. Effects of Global Changes -- 1.2. Sustainable Ecosystem Management -- 1.3. Outline of This Book -- 1.3.1. Review of ecological models -- 1.3.2. Ecological network analysis and structurally dynamic models -- 1.3.3. Behavioral monitoring and species distribution models -- 1.3.4. Ecological risk assessment -- 1.3.5. Agriculture and forest ecosystems -- 1.3.6. Urban ecosystems -- 1.3.7. Estuary and marine ecosystems -- References -- Chapter 2: Toward a new generation of ecological modelling techniques: Review and bibliometrics -- 2.1. Introduction -- 2.2. Historical Development of Ecological Modelling -- 2.3. Bibliometric Analysis of Modelling Approaches -- 2.3.1. Data Sources and Analysis -- 2.3.2. Publication Output -- 2.3.3. Journal Distribution -- 2.3.4. Country/Territory Distribution and International Collaboration -- 2.3.5. Keyword Analysis -- 2.4. Brief Review of Modelling Techniques -- 2.4.1. Structurally Dynamic Model -- 2.4.2. Individual-Based Models -- 2.4.3. Support Vector Machine -- 2.4.4. Artificial Neural Networks -- 2.4.5. Tree-Based Model -- 2.4.6. Evolutionary Computation -- 2.4.7. Ordination and Classification Models -- 2.4.8. k-Nearest Neighbors -- 2.5. Future Perspectives of Ecological Modelling -- 2.5.1. Big Data Age: Data-Intensive Modelling -- 2.5.2. Hybrid Models -- 2.5.3. Model Sensitivities and Uncertainties -- References -- Chapter 3: System-wide measures in ecological network analysis -- 3.1. Introduction -- 3.2. Description of system-wide Measures -- 3.3. Ecosystem Models Used for Comparison -- 3.4. Methods -- 3.5. Observations and Discussion -- 3.5.1. Clusters of Structure-Based Measures. , 3.5.2. Clusters of Flow-Based Measures -- 3.5.3. Clusters of Storage-Based Measures -- References -- Chapter 4: Application of structurally dynamic models (SDMs) to determine impacts of climate changes -- 4.1. Introduction -- 4.2. Development of SDM -- 4.2.1. The Number of Feedbacks and Regulations Is Extremely High and Makes It Possible for the Living Organisms and Populatio -- 4.2.2. Ecosystems Show a High Degree of Heterogeneity in Space and in Time -- 4.2.3. Ecosystems and Their Biological Components, the Species, Evolve Steadily and over the Long-Term Toward Higher Complexi -- 4.3. Application of SDMs for the Assessment of Ecological Changes due to Climate Changes -- 4.4. Conclusions -- References -- Chapter 5: Modelling animal behavior to monitor effects of stressors -- 5.1. Introduction -- 5.2. Behavior Modelling: Dealing with Instantaneous or Whole Data Sets -- 5.2.1. Parameter Extraction and State Identification -- 5.2.2. Filtering and Intermittency -- 5.2.3. Statistics and Informatics -- 5.3. Higher Moments in Position Distribution -- 5.4. Identifying Behavioral States -- 5.5. Data Transformation and Filtering by Integration -- 5.6. Intermittency -- 5.7. Discussion and Conclusion -- Acknowledgment -- References -- Chapter 6: Species distribution models for sustainable ecosystem management -- 6.1. Introduction -- 6.2. Model Development Procedure -- 6.3. Selected Models: Characteristics and Examples -- 6.3.1. Decision Trees -- 6.3.1.1. General characteristics -- 6.3.1.2. Examples -- 6.3.1.3. Additional remarks -- 6.3.2. Generalised Linear Models -- 6.3.2.1. General characteristics -- 6.3.2.2. Examples -- 6.3.2.3. Additional remarks -- 6.3.3. Artificial Neural Networks -- 6.3.3.1. General characteristics -- 6.3.3.2. Examples -- 6.3.3.3. Additional remarks -- 6.3.4. Fuzzy Logic -- 6.3.4.1. General characteristics -- 6.3.4.2. Examples. , 6.3.4.3. Additional remarks -- 6.3.5. Bayesian Belief Networks -- 6.3.5.1. General characteristics -- 6.3.5.2. Examples -- 6.3.5.3. Additional remarks -- 6.3.6. Summary of Advantages and Drawbacks -- 6.4. Future Perspectives -- References -- Chapter 7: Ecosystem risk assessment modelling method for emerging pollutants -- 7.1. Review of Ecological Risk Assessment Model Methods -- 7.2. The Selected Model Method -- 7.3. Case Study: Application of AQUATOX Models for Ecosystem Risk Assessment of Polycyclic Aromatic Hydrocarbons in Lake Ecos -- 7.3.1. Application of Models -- 7.3.2. Models -- 7.3.2.1. AQUATOX model -- 7.3.2.2. Parameterization -- 7.3.2.2.1. Biomass and physiological parameters of organisms -- 7.3.2.2.2. Characteristics of Baiyangdian Lake -- 7.3.2.2.3. PAHs model parameters -- 7.3.2.2.4. Determining PAHs water contamination -- 7.3.2.2.5. Sensitivity analysis -- 7.3.3. Results of Model Application -- 7.3.3.1. Model calibration -- 7.3.3.2. Sensitivity analysis -- 7.3.3.3. PAHs risk estimation -- 7.3.4. Discussion on the Model Application -- 7.3.4.1. Compare experiment-derived NOEC with model NOEC for PAHs -- 7.3.4.2. Compare traditional method with model method for ecological risk assessment for PAHs -- 7.4. Perspectives -- Acknowledgments -- References -- Chapter 8: Development of species sensitivity distribution (SSD) models for setting up the management priority with water qua -- 8.1. Introduction -- 8.2. Methods -- 8.2.1. BMC Platform Development for SSD Models -- 8.2.1.1. BMC structure -- 8.2.1.2. BMC functions -- 8.2.1.2.1. Fitting SSD models -- 8.2.1.2.2. Determining the best fitting model based on DIC -- 8.2.1.2.3. Uncertainty analysis -- 8.2.1.2.4. Calculating the eco-risk indicator: PAF and msPAF -- 8.2.2. Framework for Determination of WQC and Screening of PCCs -- 8.2.2.1. WQCs calculation -- 8.2.2.2. PCCs screening. , 8.2.3. Overview of BTB Areas, Occurrence of PTSs, and Ecotoxicity Data Preprocessing -- 8.3. Results and Discussion -- 8.3.1. Evaluation of the BMC Platform -- 8.3.1.1. Selection of the best SSD models -- 8.3.1.2. Priority and posterior distribution of SSDs parameters -- 8.3.1.3. CI for uncertainty analysis -- 8.3.1.4. Validation of SSD models -- 8.3.2. Eco-risks with Uncertainty -- 8.3.2.1. Generic eco-risks for a specific substance -- 8.3.2.2. Joint eco-risk for multiple substances based on response addition -- 8.3.3. Evaluation of Various WQC Strategies -- 8.3.3.1. Abundance of toxicity data -- 8.3.3.2. Limitation of toxicity data -- 8.3.3.3. Lack of toxicity data -- 8.3.3.4. Implication for improvement of the local WQC in BTB -- 8.3.4. Ranking and Screening Using Various PCC Strategies -- 8.3.4.1. PNEC -- 8.3.4.2. Eco-risk calculated by BMC -- 8.3.4.3. EEC/PNEC -- 8.3.4.4. PCC list in BTB area -- 8.3.4.5. Implication for update of the local PCC list in BTB -- 8.4. Conclusion -- Acknowledgments -- References -- Chapter 9: Modelling mixed forest stands: Methodological challenges and approaches -- 9.1. Introduction -- 9.2. Review Methodology -- 9.2.1. Literature Review on Modelling Mixed Forest Stands -- 9.2.2. Ranking of Forest Models -- 9.3. Results and Discussion -- 9.3.1. Patterns of Ecological Model Use in Mixed Forests -- 9.3.2. Model Ranking -- 9.3.2.1. FORMIX -- 9.3.2.2. FORMIND -- 9.3.2.3. SILVA -- 9.3.2.4. FORECAST -- 9.3.3. Comparison of the Top-Ranked Models -- 9.4. Conclusions -- Acknowledgments -- References -- Chapter 10: Decision in agroecosystems advanced modelling techniques studying global changes in environmental sciences -- 10.1. Introduction -- 10.2. Approaches Based on Management Strategy Simulation -- 10.2.1. Simulation of Discrete Events in Agroecosystem Dynamics -- 10.2.2. Simulation of Agroecosystem Control. , 10.3. Design of Agroecosystem Management Strategy -- 10.3.1. Hierarchical Planning -- 10.3.1.1. HTN planning concepts -- 10.3.1.2. Planning approach in HTNs -- 10.3.1.3. Illustration based on the problem of selecting an operating mode in agriculture -- 10.3.2. Planning as Weighted Constraint Satisfaction -- 10.3.2.1. Constraint satisfaction problem -- 10.3.2.2. Networks of weighted constraints -- 10.3.2.3. Illustration based on crop allocation -- 10.3.3. Planning Under Uncertainty with Markov Decision Processes -- 10.3.3.1. Markov decision processes -- 10.3.3.2. Illustration using a forest management problem -- 10.4. Strategy Design by Simulation and Learning -- 10.5. Illustrations -- 10.5.1. SAFIHR: Modelling a Farming Agent -- 10.5.1.1. Decision problem -- 10.5.1.2. SAFIHR: Continuous planning -- 10.5.1.3. Overview of the overall operation -- 10.6. Conclusion -- References -- Chapter 11: Ecosystem services in relation to carbon cycle of Asansol-Durgapur urban system, India -- 11.1. Introduction -- 11.2. Methods -- 11.2.1. Study Area -- 11.2.2. Urban Forest -- 11.2.3. Agriculture -- 11.2.4. Anthropogenic Activities -- 11.2.5. Cattle Production -- 11.3. Analysis and Discussion -- 11.3.1. Ecosystem Services and Disservices of Urban Forest -- 11.3.2. Ecosystem Services and Disservices of Agricultural Field -- 11.3.3. Ecosystem Services and Disservices Through Anthropogenic Activities -- 11.3.4. Ecosystem Services and Disservices Through Cattle Production -- 11.3.5. Impact on Biodiversity -- 11.3.6. Cultural Services and Disservices -- 11.3.7. Future Perspective of Ecosystem Services -- 11.4. Conclusions -- Acknowledgments -- References -- Chapter 12: Modelling the effects of climate change in estuarine ecosystems with coupled hydrodynamic and biogeochemical mode -- 12.1. Introduction -- 12.2. Coupled Hydrodynamic and Biogeochemical Models. , 12.3. Models as Effective Tools to Support Estuarine Climate Change Impacts Assessment.

Note: Intro -- Adaptation and Evolution in Marine Environments,Volume 2 -- Preface -- Letter from the Editorial Team -- Editorial Introduction -- Contents -- Contributors -- Part I Biodiversity Evolution and DataManagement -- 1 The Census of Antarctic Marine Life: The First Available Baseline for Antarctic Marine Biodiversity -- 1.1…History of the Project -- 1.1.1 The IPY Proposal -- 1.1.2 CAML Organization -- 1.1.3 CAML Scientific Targets -- 1.2…CAML Coordination Effort -- 1.2.1 CAML Main Expeditions -- 1.3…CAML Main Results -- 1.3.1 Distributional Records -- 1.3.2 Coordination with SCAR-MarBIN -- 1.3.3 DNA Barcoding -- 1.3.4 Published Results and Journal Special Issues -- 1.3.5 Workshop Organisation -- 1.4…The CAML Legacy -- 1.5…Concluding Remarks -- Acknowledgments -- 2 Connecting Biodiversity Data During the IPY: The Path Towards e-Polar Science -- 2.1…IPY and the Need for Data Sharing -- 2.2…The Antarctic Biodiversity Data Ecosystem -- 2.3…Findings and Motivations -- 2.4…The Biodiversity Data Paper Concept -- 2.5…The Future: Towards True Integration -- 2.6…Summary -- Acknowledgments -- References -- Part II Evolution: A Molecular Perspective -- 3 Southern Ocean Evolution in a Global Context: A Molecular Viewpoint -- 3.1…A Brief Climatic, Oceanographic and Tectonic History of the Southern Ocean -- 3.2…The Antarctic Circumpolar Current as a Barrier -- 3.3…Connectivity with Other Oceans -- 3.3.1 Southern Ocean: Source and Sink? -- 3.3.2 Difficulties in Dating Evolutionary Events to Relate Them to Climate Change -- 3.3.3 Cosmopolitan Species -- 3.3.4 Bipolar Species -- 3.4…Connectivity within the Southern Ocean -- 3.4.1 The Southern Ocean as a Biodiversity Hotspot -- 3.4.2 Cryptic Species -- 3.4.3 Eurybathy and Circumpolarity -- 3.5…Summary and Future Directions for Molecular Work -- Acknowledgments -- References. , 4 Pole-to-Pole Gene Flow in Protozoan Ciliates -- 4.1…Backgrounds -- 4.2…Ciliate Biodiversity at the Poles -- 4.3…Ciliate Mating Systems -- 4.4…Collection Sites and Polar Euplotes Species -- 4.5…Phylogenetic Relationships -- 4.6…Mating and Breeding Interactions -- 4.7…Preliminary Evidence of Pole-to-Pole Gene Flow in Nature -- 4.8…Concluding Remarks -- Acknowledgments -- References -- 5 Excess Oxygen in Polar Evolution: A Whole Organism Perspective -- 5.1…Living Conditions in Antarctic Marine Waters -- 5.2…A Unifying Concept: Oxygen and Capacity Limitation of Thermal Tolerance -- 5.3…Antarctic Challenges: Physiological Pathways of Adapting to Cold -- 5.3.1 Marine Crustaceans -- 5.3.2 At the Doorstep to Antarctica: Sub-Antarctic Stone Crabs -- 5.4…Perspectives -- Acknowledgments -- References -- 6 Catalysis and Protein Folding in Extreme Temperature Environments -- 6.1…Introduction -- 6.2…The Thermophiles -- 6.2.1 The Stability Problem -- 6.2.2 Activity and Stability -- 6.2.3 Folding at High Temperature -- 6.2.3.1 GroEL/GroES -- 6.2.3.2 DnaK/DnaJ/GrpE -- 6.2.3.3 The Trigger Factor -- 6.2.4 Partial Conclusion -- 6.3…The Psychrophiles -- 6.3.1 Enzyme Activity at Low Temperatures -- 6.3.2 Folding at Low Temperatures -- 6.4…Conclusions -- References -- Part III Monitoring and Management -- 7 Changing the Look on Seals from Pole to Pole with Satellite Technology -- 7.1…Satellites in Seal Research -- 7.2…Antarctic Seals -- 7.2.1 Crabeater Seal (Lobodon carcinophagus) -- 7.2.2 Ross Seal (Ommatophoca rossii) -- 7.2.3 Leopard Seal (Hydrurga leptonyx) -- 7.2.4 Spatial Segregation of Antarctic Phocid Seals -- 7.3…Arctic Seals -- 7.3.1 Harp Seal (Pagophilus groenlandicus) -- 7.3.1.1 Greenland Sea -- 7.3.1.2 White Sea -- 7.3.2 Hooded Seal (Cystophora cristata) -- 7.4…Adaptations to Diving -- References. , 8 Environmental Processes, Biodiversity and Changes in Admiralty Bay, King George Island, Antarctica -- 8.1…Introduction -- 8.2…Environmental Processes -- 8.2.1 Atmosphere -- 8.2.2 Terrestrial Environment -- 8.2.3 Marine Environment -- 8.2.3.1 Physical Setting -- 8.2.3.2 Hydrochemistry -- 8.2.3.3 Geophysics and Geochemistry -- 8.2.3.4 Marine Life -- 8.3…Concluding Remarks -- Acknowledgments -- References -- 9 Environmental Assessment of Admiralty Bay, King George Island, Antarctica -- 9.1…Introduction -- 9.2…Study Area -- 9.3…Environmental Assessment -- 9.3.1 Atmospheric Environment -- 9.3.2 Terrestrial Environment -- 9.3.3 Marine Environment -- 9.4…Monitoring Strategy Proposal -- 9.4.1 Terrestrial Environment Indicators -- 9.4.2 Marine Environment Indicators -- 9.5…Final Considerations -- Acknowledgments -- References -- 10 Anthropogenic Impacts on Sub-Antarctic and Antarctic Islands and the Adjacent Marine Environments -- 10.1…Introduction -- 10.2…Southern Ocean: Anthropogenic Pressures -- 10.2.1 Climate Change -- 10.2.2 Human Activity in Antarctica -- 10.2.3 Sealing, Whaling and Fisheries -- 10.2.4 Tourism -- 10.2.5 Invasive Species -- 10.2.6 Offshore Exploration, Military and Scientific Activities -- 10.3…Marine Environmental Management -- 10.4…Concluding Remarks -- Acknowledgments -- References -- 11 Polar Monitoring: Seabirds as Sentinels of Marine Ecosystems -- 11.1…The Global Importance of Polar Monitoring -- 11.2…Seabirds as Bio-Indicators -- 11.2.1 High Trophic Level Position -- 11.2.2 Diversity of Species and Food Web Interactions -- 11.2.3 Wide Sampling Range -- 11.2.4 Autonomous Environmental Samplers -- 11.3…Understanding Seabird Responses to Environmental Patterns Can Help Us Gauge the Adaptive Capacities to Future Climate Changes -- 11.3.1 Phenotypic Flexibility and Plasticity -- 11.3.1.1 Phenology -- 11.3.1.2 Foraging Strategies. , 11.3.1.3 Dispersal -- 11.3.2 Microevolutionary Processes -- 11.3.2.1 Selection -- 11.3.2.2 Genetic Drift -- 11.3.2.3 Genetic Flow -- 11.3.3 Integrating Phenotypic and Microevolutionary Approaches -- 11.4…Polar Life Observatories to Track Changes of Polar Ecosystems -- 11.4.1 What are Life Observatories? -- 11.4.1.1 Demographic Monitoring -- 11.4.1.2 Genetic Assessment and Monitoring -- 11.4.1.3 Bio-Monitoring Pollution -- 11.4.1.4 Foraging Monitoring -- 11.4.2 Innovative Technology Development and Ethics -- 11.5…Concluding Remarks -- Acknowledgments -- References -- Conclusions -- Perspectives and Implications.