Evidence map›Paper›PMID 39696538›Full record

ArticleMovement ecology2024

Remote sensing reveals the role of forage quality and quantity for summer habitat use in red deer.

Thomas Rempfler, Christian Rossi, Jan Schweizer, Wibke Peters, Claudio Signer, Flurin Filli, Hannes Jenny, Klaus Hackländer, Sven Buchmann, Pia Anderwald

Abstract read
In one paragraph

Article in Movement ecology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

Thomas RempflerDepartment of Integrative Biology and Biodiversity Research, Institute of Wildlife Biology and Game Management, BOKU University, Vienna, Austria. thomas.rempfler@nationalpark.ch.
Christian RossiSwiss National Park, Chastè Planta-Wildenberg, Runatsch 124, 7530, Zernez, Switzerland.
Jan SchweizerSwiss National Park, Chastè Planta-Wildenberg, Runatsch 124, 7530, Zernez, Switzerland.
Wibke PetersResearch Unit Wildlife Biology and Management, Bavarian State Institute of Forestry, Freising, Germany.
Claudio SignerInstitute of Natural Resource Sciences, Wildlife Management Unit, Zurich University of Applied Sciences, Wädenswil, Switzerland.
Flurin FilliSwiss National Park, Chastè Planta-Wildenberg, Runatsch 124, 7530, Zernez, Switzerland.
Hannes JennyCanton of Grisons, Hunting and Fisheries Department, Chur, Switzerland.
Klaus HackländerDepartment of Integrative Biology and Biodiversity Research, Institute of Wildlife Biology and Game Management, BOKU University, Vienna, Austria.
Sven BuchmannSwiss National Park, Chastè Planta-Wildenberg, Runatsch 124, 7530, Zernez, Switzerland.
Pia AnderwaldSwiss National Park, Chastè Planta-Wildenberg, Runatsch 124, 7530, Zernez, Switzerland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe habitat use of wild ungulates is determined by forage availability, but also the avoidance of predation and human disturbance. They should apply foraging strategies that provide the most energy at the lowest cost. However, due to data limitations at the scale of movement trajectories, it is not clear to what extent even well-studied species such as red deer (Cervus elaphus) trade-off between forage quality and quantity, especially in heterogeneous alpine habitats characterized by short vegetation periods.

methodsWe used remote sensing data to derive spatially continuous forage quality and quantity information. To predict relative nitrogen (i.e. forage quality) and biomass (i.e. forage quantity), we related field data to predictor variables derived from Sentinel-2 satellite data. In particular, our approach employed random forest regression algorithms, integrating various remote sensing variables such as reflectance values, vegetation indices and optical traits derived from a radiative transfer model. We combined these forage characteristics with variables representing human activity, and applied integrated step selection functions to estimate sex-specific summer habitat selection of red deer in open habitats within and around the Swiss National Park, an alpine Strict Nature Reserve.

resultsThe combination of vegetation indices and optical traits greatly improved predictive power in both the biomass (R

conclusionsRed deer in summer habitats select forage quantity over quality with little difference between sexes. Females respond more strongly to human activities and thus prefer the Swiss National Park. Our results demonstrate the capability of satellite data to estimate forage quality and quantity separately for movement ecology studies, going beyond the exclusive use of conventional vegetation indices.

Indexed as

BiomassCervus elaphusForaging ecologyHabitat selectionIntegrated step selection functionsMachine learningNitrogenPROSAILSentinel-2

Identifiers

PMID39696538
PMCPMC11654361

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.