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| Titel |
Combining near infrared spectra of feces and geostatistics to generate forage nutritional quality maps across landscapes |
| VerfasserIn |
Pierre-Olivier Jean, Robert Bradley, Jean-Pierre Tremblay |
| Konferenz |
EGU General Assembly 2015
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| Medientyp |
Artikel
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| Sprache |
Englisch
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| Digitales Dokument |
PDF |
| Erschienen |
In: GRA - Volume 17 (2015) |
| Datensatznummer |
250101448
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| Publikation (Nr.) |
 EGU/EGU2015-591.pdf |
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| Zusammenfassung |
| An important asset for the management of wild ungulates is the ability to recognize the
spatial distribution of forage quality across heterogeneous landscapes. To do so
typically requires knowledge of which plant species are eaten, in what abundance they
are eaten, and what their nutritional quality might be. Acquiring such data may
be, however, difficult and time consuming. Here, we are proposing a rapid and
cost-effective forage quality monitoring tool that combines near infrared (NIR) spectra
of fecal samples and easily obtained data on plant community composition. Our
approach rests on the premise that NIR spectra of fecal samples collected within low
population density exclosures reflect the optimal forage quality of a given landscape.
Forage quality can thus be based on the Mahalanobis distance of fecal spectral scans
across the landscape relative to fecal spectral scans inside exclosures (referred to
as DISTEX). The Gi* spatial autocorrelation statistic can then be applied among
neighbouring DISTEX values to detect and map “hot-spots” and “cold-spots” of
nutritional quality over the landscape. We tested our approach in a heterogeneous boreal
landscape on Anticosti Island (Qu |
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