The Experts below are selected from a list of 156564 Experts worldwide ranked by ideXlab platform
Peter R Thompson - One of the best experts on this subject based on the ideXlab platform.
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predictor Species improving assessments of Rare Species occurrence by modeling environmental co responses
Ecology and Evolution, 2020Co-Authors: Peter R Thompson, William F Fagan, Phillip P A StaniczenkoAbstract:Designing an effective conservation strategy requires understanding where Rare Species are located. Because Rare Species can be difficult to find, ecologists often identify other Species called conservation surrogates that can help inform the distribution of Rare Species. Species distribution models typically rely on environmental data when predicting the occurrence of Species, neglecting the effect of Species' co-occurrences and biotic interactions. Here, we present a new approach that uses Bayesian networks to improve predictions by modeling environmental co-responses among Species. For Species from a European peat bog community, our approach consistently performs better than single-Species models and better than conventional multi-Species approaches that include the presence of nontarget Species as additional independent variables in regression models. Our approach performs particularly well with Rare Species and when calibration data are limited. Furthermore, we identify a group of "predictor Species" that are relatively common, insensitive to the presence of other Species, and can be used to improve occurrence predictions of Rare Species. Predictor Species are distinct from other categories of conservation surrogates such as umbrella or indicator Species, which motivates focused data collection of predictor Species to enhance conservation practices.
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predictor Species improving assessments of Rare Species occurrence by modelling environmental co responses
bioRxiv, 2019Co-Authors: Peter R Thompson, William F Fagan, Phillip P A StaniczenkoAbstract:ABSTRACT Designing an effective conservation strategy requires understanding where Rare Species are located. Although Species distribution models are primarily used to identify patterns at large spatial scales, their general methodology is relevant for predicting the occurrence of individual Species at specific locations. Here we present a new approach that uses Bayesian networks to improve predictions by modelling environmental co-responses among Species. For Species from a European peat bog community, our approach consistently performs better than single-Species models, and better than conventional multi-Species models for Rare Species when calibration data are limited. Furthermore, we identify a group of “predictor Species” that are relatively common, insensitive to the presence of other Species, and can be used to improve occurrence predictions of Rare Species. Predictor Species are distinct from other categories of conservation surrogates such as umbrella or indicator Species, which motivates focused data collection of predictor Species to enhance conservation practices.
Phillip P A Staniczenko - One of the best experts on this subject based on the ideXlab platform.
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predictor Species improving assessments of Rare Species occurrence by modeling environmental co responses
Ecology and Evolution, 2020Co-Authors: Peter R Thompson, William F Fagan, Phillip P A StaniczenkoAbstract:Designing an effective conservation strategy requires understanding where Rare Species are located. Because Rare Species can be difficult to find, ecologists often identify other Species called conservation surrogates that can help inform the distribution of Rare Species. Species distribution models typically rely on environmental data when predicting the occurrence of Species, neglecting the effect of Species' co-occurrences and biotic interactions. Here, we present a new approach that uses Bayesian networks to improve predictions by modeling environmental co-responses among Species. For Species from a European peat bog community, our approach consistently performs better than single-Species models and better than conventional multi-Species approaches that include the presence of nontarget Species as additional independent variables in regression models. Our approach performs particularly well with Rare Species and when calibration data are limited. Furthermore, we identify a group of "predictor Species" that are relatively common, insensitive to the presence of other Species, and can be used to improve occurrence predictions of Rare Species. Predictor Species are distinct from other categories of conservation surrogates such as umbrella or indicator Species, which motivates focused data collection of predictor Species to enhance conservation practices.
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predictor Species improving assessments of Rare Species occurrence by modelling environmental co responses
bioRxiv, 2019Co-Authors: Peter R Thompson, William F Fagan, Phillip P A StaniczenkoAbstract:ABSTRACT Designing an effective conservation strategy requires understanding where Rare Species are located. Although Species distribution models are primarily used to identify patterns at large spatial scales, their general methodology is relevant for predicting the occurrence of individual Species at specific locations. Here we present a new approach that uses Bayesian networks to improve predictions by modelling environmental co-responses among Species. For Species from a European peat bog community, our approach consistently performs better than single-Species models, and better than conventional multi-Species models for Rare Species when calibration data are limited. Furthermore, we identify a group of “predictor Species” that are relatively common, insensitive to the presence of other Species, and can be used to improve occurrence predictions of Rare Species. Predictor Species are distinct from other categories of conservation surrogates such as umbrella or indicator Species, which motivates focused data collection of predictor Species to enhance conservation practices.
Peter H. Adler - One of the best experts on this subject based on the ideXlab platform.
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Spatial distributions of common and Rare Species in a widespread group of stream insects
Freshwater Science, 2019Co-Authors: John W. Mccreadie, Peter H. AdlerAbstract:AbstractThe phenomenon of rarity is understudied in freshwater systems compared with terrestrial systems. We examined whether spatial distributions of Rare Species of black flies (Diptera: Simuliid...
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Spatial distribution of Rare Species in lotic habitats
Insect Conservation and Diversity, 2008Co-Authors: John W. Mccreadie, Peter H. AdlerAbstract:. 1 Species rarity is a common phenomenon in the biological world. Although Rare Species have always interested biologists, the meaning of ‘Rare’ has not always been clear with the definition of rarity often arbitrary. 2 In the current study, we investigate rarity in stream ecosystems using black flies (Diptera: Simuliidae). We defined Rare Species a priori as those Species found ≤ 10% of stream sites examined (n = 111 streams for ‘summer collections’; n = 88 collection for ‘spring’ collections). Hence, we are exploring only one axis of rarity, restricted range. 3 We first consider the distribution of each Rare Species separately to determine if the mean (euclidian) distance among streams (habitats) for each Rare Species differs from a random model. We next took a collective approach by pooling all Rare Species to determine the influence of stream conditions, niche breadth, and distance among habitats on rarity. 4 Even within this biologically uniform group of flies, dispersal, range limits, and stream conditions all might play a role in rarity, and the importance of each of these factors appear to vary among Species. Rather than looking for broad causes of rarity, future studies might be more fruitful if they looked at Species-specific causes.
Daniel E Bunker - One of the best experts on this subject based on the ideXlab platform.
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the importance of Rare Species a trait based assessment of Rare Species contributions to functional diversity and possible ecosystem function in tall grass prairies
Ecology and Evolution, 2014Co-Authors: Meha Jain, Caroline Devan, Farshid Ahrestani, Dan F B Flynn, Case M Prager, Georgia M Hart, Matthew I Palmer, Daniel E BunkerAbstract:The majority of Species in ecosystems are Rare, but the ecosystem consequences of losing Rare Species are poorly known. To understand how Rare Species may influence ecosystem functioning, this study quantifies the contribution of Species based on their relative level of rarity to community functional diversity using a trait-based approach. Given that rarity can be defined in several different ways, we use four different definitions of rarity: abundance (mean and maximum), geographic range, and habitat specificity. We find that Rarer Species contribute to functional diversity when rarity is defined by maximum abundance, geographic range, and habitat specificity. However, Rarer Species are functionally redundant when rarity is defined by mean abundance. Furthermore, when using abundance-weighted analyses, we find that Rare Species typically contribute significantly less to functional diversity than common Species due to their low abundances. These results suggest that Rare Species have the potential to play an important role in ecosystem functioning, either by offering novel contributions to functional diversity or via functional redundancy depending on how Rare Species are defined. Yet, these contributions are likely to be greatest if the abundance of Rare Species increases due to environmental change. We argue that given the paucity of data on Rare Species, understanding the contribution of Rare Species to community functional diversity is an important first step to understanding the potential role of Rare Species in ecosystem functioning.
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The importance of Rare Species: a trait‐based assessment of Rare Species contributions to functional diversity and possible ecosystem function in tall‐grass prairies
Ecology and evolution, 2013Co-Authors: Meha Jain, Caroline Devan, Farshid Ahrestani, Dan F B Flynn, Case M Prager, Georgia M Hart, Matthew I Palmer, Daniel E Bunker, Johannes M. H. Knops, Claire JouseauAbstract:The majority of Species in ecosystems are Rare, but the ecosystem consequences of losing Rare Species are poorly known. To understand how Rare Species may influence ecosystem functioning, this study quantifies the contribution of Species based on their relative level of rarity to community functional diversity using a trait-based approach. Given that rarity can be defined in several different ways, we use four different definitions of rarity: abundance (mean and maximum), geographic range, and habitat specificity. We find that Rarer Species contribute to functional diversity when rarity is defined by maximum abundance, geographic range, and habitat specificity. However, Rarer Species are functionally redundant when rarity is defined by mean abundance. Furthermore, when using abundance-weighted analyses, we find that Rare Species typically contribute significantly less to functional diversity than common Species due to their low abundances. These results suggest that Rare Species have the potential to play an important role in ecosystem functioning, either by offering novel contributions to functional diversity or via functional redundancy depending on how Rare Species are defined. Yet, these contributions are likely to be greatest if the abundance of Rare Species increases due to environmental change. We argue that given the paucity of data on Rare Species, understanding the contribution of Rare Species to community functional diversity is an important first step to understanding the potential role of Rare Species in ecosystem functioning.
Georgia M Hart - One of the best experts on this subject based on the ideXlab platform.
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the importance of Rare Species a trait based assessment of Rare Species contributions to functional diversity and possible ecosystem function in tall grass prairies
Ecology and Evolution, 2014Co-Authors: Meha Jain, Caroline Devan, Farshid Ahrestani, Dan F B Flynn, Case M Prager, Georgia M Hart, Matthew I Palmer, Daniel E BunkerAbstract:The majority of Species in ecosystems are Rare, but the ecosystem consequences of losing Rare Species are poorly known. To understand how Rare Species may influence ecosystem functioning, this study quantifies the contribution of Species based on their relative level of rarity to community functional diversity using a trait-based approach. Given that rarity can be defined in several different ways, we use four different definitions of rarity: abundance (mean and maximum), geographic range, and habitat specificity. We find that Rarer Species contribute to functional diversity when rarity is defined by maximum abundance, geographic range, and habitat specificity. However, Rarer Species are functionally redundant when rarity is defined by mean abundance. Furthermore, when using abundance-weighted analyses, we find that Rare Species typically contribute significantly less to functional diversity than common Species due to their low abundances. These results suggest that Rare Species have the potential to play an important role in ecosystem functioning, either by offering novel contributions to functional diversity or via functional redundancy depending on how Rare Species are defined. Yet, these contributions are likely to be greatest if the abundance of Rare Species increases due to environmental change. We argue that given the paucity of data on Rare Species, understanding the contribution of Rare Species to community functional diversity is an important first step to understanding the potential role of Rare Species in ecosystem functioning.
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The importance of Rare Species: a trait‐based assessment of Rare Species contributions to functional diversity and possible ecosystem function in tall‐grass prairies
Ecology and evolution, 2013Co-Authors: Meha Jain, Caroline Devan, Farshid Ahrestani, Dan F B Flynn, Case M Prager, Georgia M Hart, Matthew I Palmer, Daniel E Bunker, Johannes M. H. Knops, Claire JouseauAbstract:The majority of Species in ecosystems are Rare, but the ecosystem consequences of losing Rare Species are poorly known. To understand how Rare Species may influence ecosystem functioning, this study quantifies the contribution of Species based on their relative level of rarity to community functional diversity using a trait-based approach. Given that rarity can be defined in several different ways, we use four different definitions of rarity: abundance (mean and maximum), geographic range, and habitat specificity. We find that Rarer Species contribute to functional diversity when rarity is defined by maximum abundance, geographic range, and habitat specificity. However, Rarer Species are functionally redundant when rarity is defined by mean abundance. Furthermore, when using abundance-weighted analyses, we find that Rare Species typically contribute significantly less to functional diversity than common Species due to their low abundances. These results suggest that Rare Species have the potential to play an important role in ecosystem functioning, either by offering novel contributions to functional diversity or via functional redundancy depending on how Rare Species are defined. Yet, these contributions are likely to be greatest if the abundance of Rare Species increases due to environmental change. We argue that given the paucity of data on Rare Species, understanding the contribution of Rare Species to community functional diversity is an important first step to understanding the potential role of Rare Species in ecosystem functioning.