Remote Sensing Training in Ecology and Conservation – challenges and potential

Wegmann, Martin

doi:10.1002/rse2.40

Cited by 3 publications

(3 citation statements)

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“…Moreover, predictive power and accuracy may be further increased by incorporating data about population density, resource distribution and individual fitness. While the latter seems to be very difficult to assess, incorporating the first two may be possible in due time as high-throughput DNA sequencing, camera trapping and remote sensing rapidly becomes increasingly affordable and highly precise (Bush et al, 2017;Pettorelli et al, 2017;Wegmann, 2017). Despite lacking these potential methodological improvements, we could still demonstrate here that an increase of built-up areas by 40% may reduce the probability of juvenile foxes to experience CDV within their first year of age by 66%, a result suggesting a lower CDV infection risk in strongly urbanized areas.…”

Section: Discussionmentioning

confidence: 99%

Landscape Structures Affect Risk of Canine Distemper in Urban Wildlife

et al. 2018

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Section: Discussionmentioning

confidence: 99%

Landscape Structures Affect Risk of Canine Distemper in Urban Wildlife

et al. 2018

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“…Remotely sensed environmental products have different pixel resolution, commonly referred to as 'grain size'. Accessing and utilizing a plethora of remote sensing products can be facilitated through geoprocessing tools such as Google Earth Engine (further accessible through python and R packages), the Movebank Env-Data system and the R package getspatialdata (Aybar et al, 2020;Pettorelli et al, 2014;Wegmann, 2017;Wu, 2020). We list a collection of remote sensing products available to study ecosystem features across source and recipient locations in Table S1.…”

Section: Habitat Structure Within and Between Source And Recipient Locationsmentioning

confidence: 99%

A methodological roadmap to quantify animal‐vectored spatial ecosystem subsidies

Ellis-Soto

Ferraro

Rizzuto

et al. 2021

Journal of Animal Ecology

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Ecosystems are open systems connected through spatial flows of energy, matter, and nutrients.Predicting and managing ecosystem interdependence requires a rigorous quantitative understanding of the drivers and vectors that connect ecosystems across spatio-temporal scales. Animals act as such vectors when they transport nutrients across landscapes in the form of excreta, egesta, and their own bodies. Here, we introduce a methodological roadmap that combines movement, foraging, and ecosystem ecology to study the effects of animal-vectored nutrient transport on meta-ecosystems. The meta-ecosystem concept -the notion that ecosystems are connected in space and time by flows of energy, matter, and organisms across boundaries -provides a theoretical framework on which to base our understanding of animalvectored nutrient transport. However, partly due to its high level of abstraction, there are few empirical tests of meta-ecosystem theory, and while we may label animals as important mediators of ecosystem services, we lack predictive inference of their relative roles and impacts on diverse ecosystems. Recently developed technologies and methods -tracking devices, mechanistic movement models, diet reconstruction techniques and remote sensing -have the potential to facilitate the quantification of animal-vectored nutrient flows and increase the predictive power of meta-ecosystem theory. Understanding the mechanisms by which animals shape ecosystem dynamics may be important for ongoing conservation, rewilding, and restoration initiatives around the world, and for more accurate models of ecosystem nutrient budgets. We provide conceptual examples that show how our proposed integration of methodologies could help investigate ecosystem impacts of animal movement. We conclude by describing practical applications to understanding cross-ecosystem contributions of animals on the move.

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“…There hence is still a significant lag between the development of novel remote sensing techniques and their applications in ecological research. Closing this gap has the potential to significantly improve ecological analysis across spatial and temporal scales, yet requires further disciplinary coordination, including encouraging ecologists to pursue specialized training in remote sensing and vice versa (Bernd and others 2017;Wegmann 2017).…”

Section: Introductionmentioning

confidence: 99%

Seeing the System from Above: The Use and Potential of Remote Sensing for Studying Ecosystem Dynamics

Senf

2022

Ecosystems

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Remote sensing techniques are increasingly used for studying ecosystem dynamics, delivering spatially explicit information on the properties of Earth over large spatial and multi-decadal temporal extents. Yet, there is still a gap between the more technology-driven development of novel remote sensing techniques and their applications for studying ecosystem dynamics. Here, I review the existing literature to explore how addressing these gaps might enable recent methods to overcome longstanding challenges in ecological research. First, I trace the emergence of remote sensing as a major tool for understanding ecosystem dynamics. Second, I examine recent developments in the field of remote sensing that are of particular importance for studying ecosystem dynamics. Third, I consider opportunities and challenges for emerging open data and software policies and suggest that remote sensing is at its most powerful when it is theoretically motivated and rigorously ground-truthed. I close with an outlook on four exciting new research frontiers that will define remote sensing ecology in the upcoming decade.

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Remote Sensing Training in Ecology and Conservation – challenges and potential

Cited by 3 publications

References 14 publications

Landscape Structures Affect Risk of Canine Distemper in Urban Wildlife

Landscape Structures Affect Risk of Canine Distemper in Urban Wildlife

A methodological roadmap to quantify animal‐vectored spatial ecosystem subsidies

Seeing the System from Above: The Use and Potential of Remote Sensing for Studying Ecosystem Dynamics

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