Results 211 to 220 of about 25,048 (251)

Rising Temperatures Advance Start and End of the Breeding Season of an Alpine Bird. [PDF]

Ecol Evol
Niffenegger CA, Hille SM, Schano C, Korner-Nievergelt F.   +3 more
europepmc   +1 more source

Tundra Vegetation Community Type, Not Microclimate, Controls Asynchrony of Above- and Below-Ground Phenology. [PDF]

Glob Chang Biol
Gallois EC, Myers-Smith IH, Iversen CM, Salmon VG, Turner LL, An R, Elmendorf SC, Collins CG, Anderson MJR, Young A, Pilkinton L, Blume-Werry G, Grenier M, Fälthammar-de Jong G, Althuizen IHJ, Christiansen CT, Lang SI, Elphinstone C, Henry GHR, Rammell N, Mack MC, See C, Rixen C, Hollister RD.   +23 more
europepmc   +1 more source

The impacts of anthropogenic linear features on the space-use patterns of two sympatric ungulates. [PDF]

Mov Ecol
Hart RB, Picardi S, Avgar T.
europepmc   +1 more source

Autumn leaf color brightness of Japanese alpine vegetation is projected to decrease under future climate change. [PDF]

Sci Rep
Koide D, Ide R, Oguma H, Suzuki K, Ohashi H, Kominami Y.   +5 more
europepmc   +1 more source

Multiannual environmental forcing shapes breeding phenology and success in a sub-Antarctic seabird. [PDF]

Sci Adv
Bardon G, Barracho T, Durant JM, Lecomte N, Le Maho Y, Stenseth NC, Cristofari R, Le Bohec C.   +7 more
europepmc   +1 more source

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Disentangling remotely-sensed plant phenology and snow seasonality at northern Europe using MODIS and the plant phenology index

Remote Sensing of Environment, 2017
Land surface phenology is frequently derived from remotely sensed data. However, over regions with seasonal snow cover, remotely-sensed land surface phenology may be dominated by snow seasonality, rather than showing true plant phenology.
Hongxiao Jin, Anna Maria Jonsson, Kjell Bolmgren   +2 more
exaly   +2 more sources

Spatiotemporal variations of alpine climate, snow cover and phenology

2017 9th International Workshop on the Analysis of Multitemporal Remote Sensing Images (MultiTemp), 2017
Understanding the relationships between vegetation phenology and its seasonal drivers under varying site conditions is of high interest in mountain areas, since alpine ecosystems are assumed to be particularly sensitive to climatic changes. Through the joint analysis of NDVI, snow metrics, and climate data at 250 m and 2 km spatial resolution ...
Sarah Asam, Mattia Callegari, Ludovica De Gregorio, Alexander W. Jacob, Claudia Notarnicola, Marc Zebisch, Michael Matiu, Annette Menzel, Giuseppe Fiore   +8 more
openaire   +1 more source