Results 251 to 260 of about 137,720 (348)
Assessment of Paleo-hydrology and Paleo-inundation Conditions: The Process
Pingping Luo +8 more
openalex +1 more source
Sympatric bat species can co‐exist and avoid interspecific competition via niche differentiation e.g. diet. Detecting dietary differences can be achieved by comparing dietary niches of sympatric and allopatric populations. If dietary overlap is higher in sympatry versus allopatry, co‐occurrence may be altering the dietary niche of the species.
Heather Wood +3 more
wiley +1 more source
Sentinel-3 Altimetry Thematic Products for Hydrology, Sea Ice and Land Ice. [PDF]
Aublanc J +13 more
europepmc +1 more source
Below the leaves: Integrating above‐ and below‐ground phenology for earth‐system predictability
Read the free Plain Language Summary for this article on the Journal blog. Abstract Almost every aspect of biological systems has phenology—a pattern in activity or function linked to annual cycles. Most terrestrial phenology research focusses on leaves, the onset of leaf out or senescence.
Kendalynn Morris, Richard Nair
wiley +1 more source
Forecasting Dengue: Evaluating the Role of Hydroclimate Information in Subseasonal to Seasonal Prediction. [PDF]
Beal MRW +4 more
europepmc +1 more source
Trait distributions provide insight into how niches overlap within a broader trait space. By integrating individual‐level trait observations from different communities, we can explore how facets of trait dimensionality vary across environmental conditions.
Alicia McGrew +6 more
wiley +1 more source
Multidimensional Datasets Supporting Vulnerability Assessments of Riverine Bridges in Peru. [PDF]
Espinoza Vigil AJ +8 more
europepmc +1 more source
Changes to mean early‐life phenotypes are fundamentally driven by joint dynamics of plasticity and selection, but such effects are rarely quantified. We show that cross‐cohort stasis in the degree of partial migration is underpinned by substantial within‐ and among‐cohort variation in plasticity and selection on migration, indicating high environmental
Cassandra R. Ugland +13 more
wiley +1 more source
Surface Variable-Based Machine Learning for Scalable Arsenic Prediction in Undersampled Areas. [PDF]
Azad S +11 more
europepmc +1 more source

