Predicting the co-invasion of two Asteraceae plant genera in post-mining landscapes using satellite remote sensing and airborne LiDAR. [PDF]
Kędra K, Jagodziński AM.
europepmc +1 more source
Developing a macroecology for human‐altered ecosystems
Although anthropogenically‐induced ecological disruptions are fundamentally important in defining ecosystem properties, they are largely overlooked by macroecological theory. Anthropogenic disruptions and their effects are generally not comparable to one another, nor to disturbances that are part of natural disturbance regimes.
Erica A. Newman +7 more
wiley +1 more source
Spatiotemporal evaluation of atmospheric CO<sub>2</sub> fluctuations in Shaanxi Province (2013-2022) utilizing multi-source satellite remote sensing data. [PDF]
Li Y +6 more
europepmc +1 more source
Projected warming and drying raise concerns about the resilience of stress‐adapted ecosystems, including the Brazilian Campo Rupestre, an exceptionally biodiverse mountaintop grassland mosaic on ancient, nutrient‐poor substrates. Here, we combine field‐based trait data and long‐term remote sensing to assess the functional structure and temporal ...
Renata Maia +5 more
wiley +1 more source
All-day cloud property and occurrence probability dataset based on satellite remote sensing data. [PDF]
Nie L, Chen Y, Zhang D.
europepmc +1 more source
Vegetation on the move: elevational shifts and greening dynamics across the Himalayan alpine zone
This study investigates alpine ‘vegetation line' (the upper limit of continuous plant community) dynamics in the Himalayan alpine zone (HAZ) over a 24‐year timescale (1999–2022) using maximum NDVI products derived from Landsat series datasets, adjusted for sampling bias using phenological modelling.
Ruolin Leng +5 more
wiley +1 more source
Estimation of the water content of needles under stress by <i>Erannis jacobsoni</i> Djak. via Sentinel-2 satellite remote sensing. [PDF]
Guo J +10 more
europepmc +1 more source
The transferability of single or joint species distribution models ((j)SDMs) depends on their ability to predict beyond the observed environmental range and to remain consistent despite shifts in biotic interactions. Transfer accuracy may be improved by recent advances in the application of deep learning that provide greater flexibility and potentially
Marco Basile +44 more
wiley +1 more source
Satellite Remote Sensing Reveals More Beneficial Effect of Forest Plant Diversity on Drought Resistance in More Arid Areas of Yunnan, China. [PDF]
Ma G, Sun H, Hu K, Zhou H.
europepmc +1 more source
‘SiteTool': a ‘Shiny' application for field site selection and evaluation
Field studies are fundamental to ecological research, yet many studies rely on unspecified or convenience‐based methods for site selection, potentially introducing bias that can compromise research results. Remote‐sensing data provides a quantitative way to evaluate potential sites without expensive pilot visits; however, interacting with spatial data ...
Natalie Imirzian +7 more
wiley +1 more source

