ArticleThe Journal of animal ecology2022
E-scape: Consumer-specific landscapes of energetic resources derived from stable isotope analysis and remote sensing.
Article in The Journal of animal ecology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
3 citing papers in PubMed.
- Remote sensing and foraging data illustrate landscape-scale considerations for coastal restoration and avian management.Ecological applications : a publication of the Ecological Society of America · 2025Article
- Trophic niche dynamics of two fish mesoconsumers in adjacent coastal habitats with varying nutrient regimes.Oecologia · 2025Article
- E-scape: Consumer-specific landscapes of energetic resources derived from stable isotope analysis and remote sensing.The Journal of animal ecology · 2022Article
Corrections and comments
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Energetic resources and habitat distribution are inherently linked. Energetic resource availability is a major driver of the distribution of consumers, but estimating how much specific habitats contribute to the energetic resource needs of a consumer can be problematic. We present a new approach that combines remote sensing information and stable isotope ecology to produce maps of energetic resources (E-scapes). E-scapes project species-specific resource use information onto the landscape to classify areas based on energetic importance. Using our E-scapes, we investigated the relationship between energetic resource distribution and white shrimp distribution and how the scale used to generate the E-scape mediated this relationship. E-scapes successfully predicted the size, abundance, biomass, and total energy of a consumer in salt marsh habitats in coastal Louisiana, USA at scales relevant to the movement of the consumer. Our E-scape maps can be used alone or in combination with existing models to improve habitat management and restoration practices and have potential to be used to test fundamental movement theory.
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Registered trials
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