The Experts below are selected from a list of 55422 Experts worldwide ranked by ideXlab platform
Iadine Chadès - One of the best experts on this subject based on the ideXlab platform.
-
The value of understanding feedbacks from ecosystem functions to species for managing ecosystems
Nature Communications, 2019Co-Authors: Hui Xiao, Regis Sabbadin, Nathalie Peyrard, Eve Mcdonald-madden, Iadine ChadèsAbstract:Ecological systems are made up of complex and often unknown interactions and feedbacks. Uncovering these interactions and feedbacks among species, ecosystem functions, and ecosystem services is challenging, costly, and time-consuming. Here, we ask: for which ecosystem features does resolving the uncertainty about the feedbacks from ecosystem function to species improve management outcomes? We develop a dynamic value of information analysis for Risk-neutral and Risk-Prone managers on motif ecosystems and explore the influence of five ecological features. We find that learning the feedbacks from ecosystem function to species does not improve management outcomes for maximising biodiversity, yet learning which species benefit from an ecosystem function improves management outcomes for ecosystem services by up to 25% for Risk-neutral managers and 231% for Risk-Prone managers. Our general approach provides useful guidance for managers and researchers on when learning feedbacks from ecosystem function to species can improve management outcomes for multiple conservation objectives. Value of information analyses are a promising approach to decision-making in conservation. Here the authors develop a dynamic approach to show that knowing which species benefit from an ecosystem function improves ecosystem service and biodiversity management, particularly for Risk-Prone managers.
-
The value of understanding feedbacks from ecosystem functions to species for managing ecosystems
Nature Communications, 2019Co-Authors: Hui Xiao, Regis Sabbadin, Nathalie Peyrard, Eve Mcdonald-madden, Iadine ChadèsAbstract:Ecological systems are made up of complex and often unknown interactions and feedbacks. Uncovering these interactions and feedbacks among species, ecosystem functions, and ecosystem services is challenging, costly, and time-consuming. Here, we ask: for which ecosystem features does resolving the uncertainty about the feedbacks from ecosystem function to species improve management outcomes? We develop a dynamic value of information analysis for Risk-neutral and Risk-Prone managers on motif ecosystems and explore the influence of five ecological features. We find that learning the feedbacks from ecosystem function to species does not improve management outcomes for maximising biodiversity, yet learning which species benefit from an ecosystem function improves management outcomes for ecosystem services by up to 25% for Risk-neutral managers and 231% for Risk-Prone managers. Our general approach provides useful guidance for managers and researchers on when learning feedbacks from ecosystem function to species can improve management outcomes for multiple conservation objectives. Value of information analyses are a promising approach to decision-making in conservation. Here the authors develop a dynamic approach to show that knowing which species benefit from an ecosystem function improves ecosystem service and biodiversity management, particularly for Risk-Prone managers.
-
The value of understanding feedbacks from ecosystem functions to species for managing ecosystems.
Nature Communications, 2019Co-Authors: Hui Xiao, Regis Sabbadin, Nathalie Peyrard, Eve Mcdonald-madden, Iadine ChadèsAbstract:Ecological systems are made up of complex and often unknown interactions and feedbacks. Uncovering these interactions and feedbacks among species, ecosystem functions, and ecosystem services is challenging, costly, and time-consuming. Here, we ask: for which ecosystem features does resolving the uncertainty about the feedbacks from ecosystem function to species improve management outcomes? We develop a dynamic value of information analysis for Risk-neutral and Risk-Prone managers on motif ecosystems and explore the influence of five ecological features. We find that learning the feedbacks from ecosystem function to species does not improve management outcomes for maximising biodiversity, yet learning which species benefit from an ecosystem function improves management outcomes for ecosystem services by up to 25% for Risk-neutral managers and 231% for Risk-Prone managers. Our general approach provides useful guidance for managers and researchers on when learning feedbacks from ecosystem function to species can improve management outcomes for multiple conservation objectives.
Hui Xiao - One of the best experts on this subject based on the ideXlab platform.
-
The value of understanding feedbacks from ecosystem functions to species for managing ecosystems
Nature Communications, 2019Co-Authors: Hui Xiao, Regis Sabbadin, Nathalie Peyrard, Eve Mcdonald-madden, Iadine ChadèsAbstract:Ecological systems are made up of complex and often unknown interactions and feedbacks. Uncovering these interactions and feedbacks among species, ecosystem functions, and ecosystem services is challenging, costly, and time-consuming. Here, we ask: for which ecosystem features does resolving the uncertainty about the feedbacks from ecosystem function to species improve management outcomes? We develop a dynamic value of information analysis for Risk-neutral and Risk-Prone managers on motif ecosystems and explore the influence of five ecological features. We find that learning the feedbacks from ecosystem function to species does not improve management outcomes for maximising biodiversity, yet learning which species benefit from an ecosystem function improves management outcomes for ecosystem services by up to 25% for Risk-neutral managers and 231% for Risk-Prone managers. Our general approach provides useful guidance for managers and researchers on when learning feedbacks from ecosystem function to species can improve management outcomes for multiple conservation objectives. Value of information analyses are a promising approach to decision-making in conservation. Here the authors develop a dynamic approach to show that knowing which species benefit from an ecosystem function improves ecosystem service and biodiversity management, particularly for Risk-Prone managers.
-
The value of understanding feedbacks from ecosystem functions to species for managing ecosystems
Nature Communications, 2019Co-Authors: Hui Xiao, Regis Sabbadin, Nathalie Peyrard, Eve Mcdonald-madden, Iadine ChadèsAbstract:Ecological systems are made up of complex and often unknown interactions and feedbacks. Uncovering these interactions and feedbacks among species, ecosystem functions, and ecosystem services is challenging, costly, and time-consuming. Here, we ask: for which ecosystem features does resolving the uncertainty about the feedbacks from ecosystem function to species improve management outcomes? We develop a dynamic value of information analysis for Risk-neutral and Risk-Prone managers on motif ecosystems and explore the influence of five ecological features. We find that learning the feedbacks from ecosystem function to species does not improve management outcomes for maximising biodiversity, yet learning which species benefit from an ecosystem function improves management outcomes for ecosystem services by up to 25% for Risk-neutral managers and 231% for Risk-Prone managers. Our general approach provides useful guidance for managers and researchers on when learning feedbacks from ecosystem function to species can improve management outcomes for multiple conservation objectives. Value of information analyses are a promising approach to decision-making in conservation. Here the authors develop a dynamic approach to show that knowing which species benefit from an ecosystem function improves ecosystem service and biodiversity management, particularly for Risk-Prone managers.
-
The value of understanding feedbacks from ecosystem functions to species for managing ecosystems.
Nature Communications, 2019Co-Authors: Hui Xiao, Regis Sabbadin, Nathalie Peyrard, Eve Mcdonald-madden, Iadine ChadèsAbstract:Ecological systems are made up of complex and often unknown interactions and feedbacks. Uncovering these interactions and feedbacks among species, ecosystem functions, and ecosystem services is challenging, costly, and time-consuming. Here, we ask: for which ecosystem features does resolving the uncertainty about the feedbacks from ecosystem function to species improve management outcomes? We develop a dynamic value of information analysis for Risk-neutral and Risk-Prone managers on motif ecosystems and explore the influence of five ecological features. We find that learning the feedbacks from ecosystem function to species does not improve management outcomes for maximising biodiversity, yet learning which species benefit from an ecosystem function improves management outcomes for ecosystem services by up to 25% for Risk-neutral managers and 231% for Risk-Prone managers. Our general approach provides useful guidance for managers and researchers on when learning feedbacks from ecosystem function to species can improve management outcomes for multiple conservation objectives.
Anders Berglund - One of the best experts on this subject based on the ideXlab platform.
-
No terminal investment in pipefish males: only young males exhibit Risk-Prone courtship behavior
Behavioral Ecology, 2007Co-Authors: Anna Maria Billing, Gunilla Rosenqvist, Anders BerglundAbstract:Animals are expected to trade-off current and future reproduction in order to maximize lifetime reproductive success. Old individuals may accept higher Risks during courtship and mate choice as their residual reproductive value (RRV) diminishes (the terminal investment hypothesis). Alternatively, young individuals may be forced to take higher Risks during courtship to compensate for their lower competitiveness and/or attractiveness (the compensation hypothesis). In this study, we used the sex-role reversed pipefish Syngnathus typhle to test how mate choice and courtship behavior of males with different RRV were affected by an increase in predation Risk. Males of different ages were given the opportunity to court and choose between 2 partners. In half of the trials, a predator was present in a separate aquarium. We found no support for the terminal investment hypothesis: no difference in response to the increased predation Risk by males of different ages was evident. In agreement with the compensation hypothesis, young males invested more in courtship behavior compared with older males. In addition, in the absence of a predator, we found that a high female activity was important for male mate choice decisions. During increased predation Risk, this relationship was, however, reversed and males preferred less active, and thus less conspicuous, partners. This suggests that both female activity and size are important factors for male mating decisions in this species and that these decisions mainly are affected by predation Risk and advantages in mate acquisition. Copyright 2007, Oxford University Press.
-
No terminal investment in pipefish males: only young males exhibit Risk-Prone courtship behavior
Behavioral Ecology, 2007Co-Authors: Anna Maria Billing, Gunilla Rosenqvist, Anders BerglundAbstract:Animals are expected to trade-off current and future reproduction in order to maximize lifetime reproductive success. Old individuals may accept higher Risks during courtship and mate choice as their residual reproductive value (RRV) diminishes (the terminal investment hypothesis). Alternatively, young individuals may be forced to take higher Risks during courtship to compensate for their lower competitiveness and/or attractiveness (the compensation hypothesis). In this study, we used the sex-role reversed pipefish Syngnathus typhle to test how mate choice and courtship behavior of males with different RRV were affected by an increase in predation Risk. Males of different ages were given the opportunity to court and choose between 2 partners. In half of the trials, a predator was present in a separate aquarium. We found no support for the terminal investment hypothesis: no difference in response to the increased predation Risk by males of different ages was evident. In agreement with the compensation hypothesis, young males invested more in courtship behavior compared with older males. In addition, in the absence of a predator, we found that a high female activity was important for male mate choice decisions. During increased predation Risk, this relationship was, however, reversed and males preferred less active, and thus less conspicuous, partners. This suggests that both female activity and size are important factors for male mating decisions in this species and that these decisions mainly are affected by predation Risk and advantages in mate acquisition.
Eve Mcdonald-madden - One of the best experts on this subject based on the ideXlab platform.
-
The value of understanding feedbacks from ecosystem functions to species for managing ecosystems
Nature Communications, 2019Co-Authors: Hui Xiao, Regis Sabbadin, Nathalie Peyrard, Eve Mcdonald-madden, Iadine ChadèsAbstract:Ecological systems are made up of complex and often unknown interactions and feedbacks. Uncovering these interactions and feedbacks among species, ecosystem functions, and ecosystem services is challenging, costly, and time-consuming. Here, we ask: for which ecosystem features does resolving the uncertainty about the feedbacks from ecosystem function to species improve management outcomes? We develop a dynamic value of information analysis for Risk-neutral and Risk-Prone managers on motif ecosystems and explore the influence of five ecological features. We find that learning the feedbacks from ecosystem function to species does not improve management outcomes for maximising biodiversity, yet learning which species benefit from an ecosystem function improves management outcomes for ecosystem services by up to 25% for Risk-neutral managers and 231% for Risk-Prone managers. Our general approach provides useful guidance for managers and researchers on when learning feedbacks from ecosystem function to species can improve management outcomes for multiple conservation objectives. Value of information analyses are a promising approach to decision-making in conservation. Here the authors develop a dynamic approach to show that knowing which species benefit from an ecosystem function improves ecosystem service and biodiversity management, particularly for Risk-Prone managers.
-
The value of understanding feedbacks from ecosystem functions to species for managing ecosystems
Nature Communications, 2019Co-Authors: Hui Xiao, Regis Sabbadin, Nathalie Peyrard, Eve Mcdonald-madden, Iadine ChadèsAbstract:Ecological systems are made up of complex and often unknown interactions and feedbacks. Uncovering these interactions and feedbacks among species, ecosystem functions, and ecosystem services is challenging, costly, and time-consuming. Here, we ask: for which ecosystem features does resolving the uncertainty about the feedbacks from ecosystem function to species improve management outcomes? We develop a dynamic value of information analysis for Risk-neutral and Risk-Prone managers on motif ecosystems and explore the influence of five ecological features. We find that learning the feedbacks from ecosystem function to species does not improve management outcomes for maximising biodiversity, yet learning which species benefit from an ecosystem function improves management outcomes for ecosystem services by up to 25% for Risk-neutral managers and 231% for Risk-Prone managers. Our general approach provides useful guidance for managers and researchers on when learning feedbacks from ecosystem function to species can improve management outcomes for multiple conservation objectives. Value of information analyses are a promising approach to decision-making in conservation. Here the authors develop a dynamic approach to show that knowing which species benefit from an ecosystem function improves ecosystem service and biodiversity management, particularly for Risk-Prone managers.
-
The value of understanding feedbacks from ecosystem functions to species for managing ecosystems.
Nature Communications, 2019Co-Authors: Hui Xiao, Regis Sabbadin, Nathalie Peyrard, Eve Mcdonald-madden, Iadine ChadèsAbstract:Ecological systems are made up of complex and often unknown interactions and feedbacks. Uncovering these interactions and feedbacks among species, ecosystem functions, and ecosystem services is challenging, costly, and time-consuming. Here, we ask: for which ecosystem features does resolving the uncertainty about the feedbacks from ecosystem function to species improve management outcomes? We develop a dynamic value of information analysis for Risk-neutral and Risk-Prone managers on motif ecosystems and explore the influence of five ecological features. We find that learning the feedbacks from ecosystem function to species does not improve management outcomes for maximising biodiversity, yet learning which species benefit from an ecosystem function improves management outcomes for ecosystem services by up to 25% for Risk-neutral managers and 231% for Risk-Prone managers. Our general approach provides useful guidance for managers and researchers on when learning feedbacks from ecosystem function to species can improve management outcomes for multiple conservation objectives.
Nathalie Peyrard - One of the best experts on this subject based on the ideXlab platform.
-
The value of understanding feedbacks from ecosystem functions to species for managing ecosystems
Nature Communications, 2019Co-Authors: Hui Xiao, Regis Sabbadin, Nathalie Peyrard, Eve Mcdonald-madden, Iadine ChadèsAbstract:Ecological systems are made up of complex and often unknown interactions and feedbacks. Uncovering these interactions and feedbacks among species, ecosystem functions, and ecosystem services is challenging, costly, and time-consuming. Here, we ask: for which ecosystem features does resolving the uncertainty about the feedbacks from ecosystem function to species improve management outcomes? We develop a dynamic value of information analysis for Risk-neutral and Risk-Prone managers on motif ecosystems and explore the influence of five ecological features. We find that learning the feedbacks from ecosystem function to species does not improve management outcomes for maximising biodiversity, yet learning which species benefit from an ecosystem function improves management outcomes for ecosystem services by up to 25% for Risk-neutral managers and 231% for Risk-Prone managers. Our general approach provides useful guidance for managers and researchers on when learning feedbacks from ecosystem function to species can improve management outcomes for multiple conservation objectives. Value of information analyses are a promising approach to decision-making in conservation. Here the authors develop a dynamic approach to show that knowing which species benefit from an ecosystem function improves ecosystem service and biodiversity management, particularly for Risk-Prone managers.
-
The value of understanding feedbacks from ecosystem functions to species for managing ecosystems
Nature Communications, 2019Co-Authors: Hui Xiao, Regis Sabbadin, Nathalie Peyrard, Eve Mcdonald-madden, Iadine ChadèsAbstract:Ecological systems are made up of complex and often unknown interactions and feedbacks. Uncovering these interactions and feedbacks among species, ecosystem functions, and ecosystem services is challenging, costly, and time-consuming. Here, we ask: for which ecosystem features does resolving the uncertainty about the feedbacks from ecosystem function to species improve management outcomes? We develop a dynamic value of information analysis for Risk-neutral and Risk-Prone managers on motif ecosystems and explore the influence of five ecological features. We find that learning the feedbacks from ecosystem function to species does not improve management outcomes for maximising biodiversity, yet learning which species benefit from an ecosystem function improves management outcomes for ecosystem services by up to 25% for Risk-neutral managers and 231% for Risk-Prone managers. Our general approach provides useful guidance for managers and researchers on when learning feedbacks from ecosystem function to species can improve management outcomes for multiple conservation objectives. Value of information analyses are a promising approach to decision-making in conservation. Here the authors develop a dynamic approach to show that knowing which species benefit from an ecosystem function improves ecosystem service and biodiversity management, particularly for Risk-Prone managers.
-
The value of understanding feedbacks from ecosystem functions to species for managing ecosystems.
Nature Communications, 2019Co-Authors: Hui Xiao, Regis Sabbadin, Nathalie Peyrard, Eve Mcdonald-madden, Iadine ChadèsAbstract:Ecological systems are made up of complex and often unknown interactions and feedbacks. Uncovering these interactions and feedbacks among species, ecosystem functions, and ecosystem services is challenging, costly, and time-consuming. Here, we ask: for which ecosystem features does resolving the uncertainty about the feedbacks from ecosystem function to species improve management outcomes? We develop a dynamic value of information analysis for Risk-neutral and Risk-Prone managers on motif ecosystems and explore the influence of five ecological features. We find that learning the feedbacks from ecosystem function to species does not improve management outcomes for maximising biodiversity, yet learning which species benefit from an ecosystem function improves management outcomes for ecosystem services by up to 25% for Risk-neutral managers and 231% for Risk-Prone managers. Our general approach provides useful guidance for managers and researchers on when learning feedbacks from ecosystem function to species can improve management outcomes for multiple conservation objectives.
