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Front Cover -- Ecosystem Services: From Biodiversity to Society, Part 1 -- Copyright -- Contents -- Contributors -- Preface: Ecosystem Services: From Biodiversity to Society, Part 1 -- Acknowledgements -- Chapter One: 10 Years Later: Revisiting Priorities for Science and Society a Decade After the Millennium Ecosystem Assessment -- 1. Introduction -- 2. Impact of the MEA -- 3. Functional Attributes and Networks as Frames for Ecosystems and Societies -- 4. Network Approaches to ESs as a Means of Implementing the MEA -- 5. Research Priorities One Decade After the MEA -- 5.1. Underpinning Knowledge: From Functioning to Services -- 5.2. Regulating Services -- 5.3. Provisioning Services -- 5.4. Supporting Services -- 5.5. Cultural and Aesthetic Services -- 5.6. Synergies Among Services and Multiple Drivers: How Can We Quantify Main Effects and Interactions Among ESs and Their ... -- 5.7. How Are Services Linked in Different Realms? -- 5.8. How Do We Prioritize the `Value of Services? -- 5.9. Coupling Models to Data: How Do We Develop a Better Predictive Understanding? -- 5.10. How Can We Manage Systems for Sustainable Delivery of ESs? -- 5.11. What is the Role of Global Connections in ESs Delivery, and How Should This Impact Our Management and Understanding ... -- 6. Preliminary Conclusions -- Acknowledgements -- References -- Chapter Two: Linking Biodiversity, Ecosystem Functioning and Services, and Ecological Resilience: Towards an Integrative ... -- 1. Introduction -- Glossary -- 2. Drivers of Ecosystem Functioning -- 2.1. Abiotic Factors -- 2.2. Biodiversity as a Driver of Ecosystem Functioning at Multiple Scales of Organisation -- 2.2.1. Species Traits: A Crucial Link Between Diversity and Ecosystem Functioning -- 2.2.2. Biodiversity and the Effects of Species Interactions on Ecosystem Functioning -- 2.2.3. Integrating Food Web Theory.

The theme of this volume is to discuss the Ecological Networks in an Agricultural World. The volume covers important topics such Networking Agroecology, Construction and Validation of Food-webs using Logic-based Machine Learning and Text-mining and Eco-evolutionary dynamics in agricultural networks. Updates and informs the reader on the latest research findings Written by leading experts in the field Highlights areas for future investigation

SPE GESTAD INRA CT3 ; International audience ; Weeds remain a major obstacle to increased yields. Past reliance on herbicides is no longer sufficient with increasing concerns about environmental effects, regulation and resistance. This has led to the development of integrated weed management (IWM) which includes herbicides as part of a broader array of cultural, physical and biological methods of control. This volume reviews key research on the use of IWM in sustainable agriculture. Parts 1 and 2 introduce weed ecology and IWM principles, including surveillance, risk assessment and planning an IWM programme. Part 3 summarise the role of herbicides in IWM whilst Part 4 reviews the range of cultural and physical methods of weed control. The final part of the book surveys biological techniques for weed control. With its eminent editor and international range of expert authors, this will be a standard reference for weed scientists, the agricultural community and the pesticide industry as well as government and non-governmental agencies supporting a more sustainable agriculture.

SPE GESTAD INRA CT3 ; International audience ; Weeds remain a major obstacle to increased yields. Past reliance on herbicides is no longer sufficient with increasing concerns about environmental effects, regulation and resistance. This has led to the development of integrated weed management (IWM) which includes herbicides as part of a broader array of cultural, physical and biological methods of control. This volume reviews key research on the use of IWM in sustainable agriculture. Parts 1 and 2 introduce weed ecology and IWM principles, including surveillance, risk assessment and planning an IWM programme. Part 3 summarise the role of herbicides in IWM whilst Part 4 reviews the range of cultural and physical methods of weed control. The final part of the book surveys biological techniques for weed control. With its eminent editor and international range of expert authors, this will be a standard reference for weed scientists, the agricultural community and the pesticide industry as well as government and non-governmental agencies supporting a more sustainable agriculture.

Weeds remain a major obstacle to increased yields. Past reliance on herbicides is no longer sufficient with increasing concerns about environmental effects, regulation and resistance. This has led to the development of integrated weed management (IWM) which includes herbicides as part of a broader array of cultural, physical and biological methods of control. This volume reviews key research on the use of IWM in sustainable agriculture. Parts 1 and 2 introduce weed ecology and IWM principles, including surveillance, risk assessment and planning an IWM programme. Part 3 summarise the role of herbicides in IWM whilst Part 4 reviews the range of cultural and physical methods of weed control. The final part of the book surveys biological techniques for weed control. With its eminent editor and international range of expert authors, this will be a standard reference for weed scientists, the agricultural community and the pesticide industry as well as government and non-governmental agencies supporting a more sustainable agriculture.

Intro -- The Future of Agricultural Landscapes, Part I -- Copyright -- Contents -- Contributors -- Preface -- Acknowledgement -- References -- Chapter One: Landscape-scale expansion of agroecology to enhance natural pest control: A systematic review -- 1. Introduction -- 2. Methods -- 3. Research effort and relative amount of evidence that agroecological practices promote natural pest control at the fiel ... -- 3.1. Organic farming -- 3.2. Conservation tillage -- 3.3. Crop diversification -- 3.4. Adjacent non-crop habitats -- 3.5. Summary of findings -- 4. The modulation of natural pest control response to agroecological practices by the landscape context -- 4.1. The role of landscape complexity -- 4.2. The landscape-scale expansion of agroecological practices -- 5. Modelling approaches to forecast natural pest control in agroecological landscapes -- 5.1. An overview of existing models at field and landscape scales -- 5.2. Some current modelling limitations to overcome -- 6. Integrating the socio-economical drivers of a landscape-scale transition -- 6.1. Comparative approaches between South and North -- 6.2. The agricultural landscape as a system, not just as an aggregation of farms and farmers -- 6.3. Considering the collective level in an integrated multi-level approach -- 6.4. Towards transformative transdisciplinary landscapes research -- 7. Conclusions -- Acknowledgements -- References -- Chapter Two: Invasive bees and their impact on agriculture -- 1. Introduction -- 2. Plant-pollinator interaction as a benefit-cost relation -- 2.1. Direct costs -- 2.2. Indirect costs -- 3. Invasive bees -- 3.1. The western honey bee -- 3.2. Bumble bees -- 3.3. Other bees -- 4. Drivers of bee invasion success -- 4.1. Bee introductions and trade -- 4.2. Ecological opportunities and displacement of native bees -- 4.3. Anthropogenic disturbance.

Front Cover -- Networks of Invasion: A Synthesis of Concepts -- Copyright -- Contents -- Contributors -- Preface -- Acknowledgements -- References -- Chapter One: Impacts of Invasive Species on Food Webs: A Review of Empirical Data -- 1. Introduction -- 2. Definitions and Limits -- 2.1. Invasive Species: An ``Anthropocentric Concept´´ -- 2.2. Measuring Impacts on Food Webs: Objects of Study and Methodology -- 3. Local Effects: Effect of Invaders at One or Two Steps of Distance -- 3.1. Top-Down Effects -- 3.1.1. Invasive Predators May Have Large Impacts on Resident Species -- 3.1.2. Ecological and Evolutionary Naïveté Exacerbate the Impact of Invasive Predators -- 3.1.3. Top-Down Effect of Invasions May Result in Trophic Cascades -- 3.2. Lateral Effects of Invaders: Exploitative Competition -- 3.2.1. Exploitative Competition is Expressed as a Two-Step Path in a Food Web -- 3.2.2. Extinctions by Competition Between Introduced and Native Species Are Relatively Rare -- 3.2.3. Asymmetry in Competition Impacts, Lack of Coevolutionary History, and Invasion Filter -- 3.2.4. Exploitative Competition May Be Mixed With Other Interactions -- 3.2.5. The Case of Invasive Fruit Flies Illustrates Asymmetric Competitive Interactions Between Invaders and Residents -- 3.3. Bottom-Up Effects of Invaders -- 3.3.1. Invaders Provide Direct Benefits but Indirect Costs to Local Predators -- 3.3.2. Coevolutionary History and Invasion Filter Underlie Enemy Release -- 3.4. Apparent Competition Between Invaders and Residents -- 3.5. Facilitation, Mutualisms, and Engineering: Nontrophic Indirect Interactions -- 4. Global Effects: Invasions at Food Web Scale -- 4.1. Food Web Structure as a Biotic Filter -- 4.1.1. Species Diversity Might Increase Food Web Resistance to Invasion -- 4.1.2. Effects of Food Web Structure on Invasion: Beyond Diversity.

Front Cover -- Next Generation Biomonitoring: Part 2 -- Copyright -- Contents -- Contributors -- Preface -- References -- Acknowledgements -- Chapter One: Bioinformatics for Biomonitoring: Species Detection and Diversity Estimates Across Next-Generation Sequencin ... -- 1. Introduction -- 2. Materials and Methods -- 2.1. Mock Communities -- 2.2. Library Preparation for Roche 454 -- 2.3. Library Preparation for Illumina MiSeq -- 2.4. Bioinformatics and Data Analysis -- 2.5. Assigning Taxonomy to OTUs and Dereplicated Sequences -- 3. Results -- 3.1. Sequence and Read Depth -- 3.2. OTU Clustering and the Effect of Singletons -- 3.3. Species Detection -- 3.4. OTU Precision -- 3.5. Impact of Merging and Appending MiSeq Reads on Species Detection and OTU Estimates -- 4. Discussion -- 4.1. Read Depth and Singletons -- 4.2. OTU Clustering -- 4.3. Experimental Design -- 4.4. Implications for Biomonitoring -- 5. Conclusions -- Acknowledgements -- References -- Chapter Two: Linking DNA Metabarcoding and Text Mining to Create Network-Based Biomonitoring Tools: A Case Study on Borea ... -- 1. Introduction -- 1.1. Ecological Networks as Biomonitoring Tools -- 1.2. New Tools to Rapidly Assess Biodiversity and Annotate It With Ecological Information -- 1.3. Freshwater Biodiversity Hotspots as Candidates for Exploring Novel Approaches for Biodiversity Assessment -- 1.4. Exploring the Generation of DNA Ecological Networks for Aquatic Biomonitoring -- 2. Building Heuristic Food Webs for Wetland Biomonitoring: A Case Study -- 2.1. DNA Sample Collection, Metabarcoding, and Bioinformatics Pipeline -- 2.2. Development of Text-Mining Pipeline for Traits of Freshwater Organisms -- 2.3. Evaluation, and Iterative Refinements to Text-Mining Pipeline for Body Size -- 2.4. Rule-Based Procedure for Retrieving Trait Information for Heuristic Food Web Construction

Front Cover -- Next Generation Biomonitoring: Part 1 -- Copyright -- Contents -- Contributors -- Preface -- Acknowledgements -- Chapter One: Biomonitoring for the 21st Century: Integrating Next-Generation Sequencing Into Ecological Network Analysis -- 1. Introduction -- 2. How Are Ecological Networks Useful for Biomonitoring? -- 2.1. Traditional Biomonitoring Is Typically Descriptive and Rarely Provides an Understanding of the Underlying Mechanisms ... -- 2.2. Ecological Networks Provide a Framework to Describe and Monitor Ecological Processes and Ecosystem Functions -- 2.3. Ecological Network Structure Characterizes Ecosystem Properties -- 2.4. Knowledge of Ecological Networks Helps to Assess the Effect(s) of Environmental Changes on Ecosystem Processes and A ... -- 2.5. The Robustness of Networks of Ecological Networks: Applications for Understanding Species and Habitat Loss, Restorat ... -- 3. Ecological Networks Can Be Challenging to Build Using Conventional Approaches -- 4. Combining NGS With ENA: Opportunities and Challenges -- 4.1. Using NGS to Construct Ecological Networks -- 4.2. PCR Bias and Abundance Estimation in NGS Community Analyses -- 4.3. NGS Without a Prior PCR Step -- 4.4. Detection of Species Interactions Using Molecular Tools -- 4.5. How to Deal With Interactions Not Directly Resolved by NGS: Are Species Association Networks Species Interaction Net ... -- 5. Machine Learning as a Way to Rapidly Build Molecular Ecological Networks in a Rapid and Reliable Way? -- 5.1. Learning Ecological Networks From Data -- 5.2. Exploiting eDNA-Derived Information as a Source for Network Data -- 6. NGS Network Data Sharing -- 6.1. The Importance of a Dedicated NGS Network Database: Linking DNA Sequences and Ecological Interactions to Limit Speci