Despite having only about 670 species worldwide, conifers are one of the ecologically and economically most important plant groups. They have a rich fossil record and previous studies have shown that their current diversity is the result of past radiations, extinction, and dispersal events, restricting many genera to either the Northern or Southern ...
Hong Qian, Michael Kessler, Shenhua Qian
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Efficient vegetation indices for phenotyping of abiotic stress tolerance in tea plant (Camellia sinensis (L.) Kuntze). [PDF]
Samarina L +7 more
europepmc +1 more source
Topography constrains the climatic response of treeline migration in Taiwan's subalpine forests
Treelines are moving upslope, but the rates and drivers differ among different regions, globally. Many studies have examined the relationship between treeline movement and climate change, particularly rising temperature, while the role of topographical factors has received much less attention, despite the longstanding recognition of its importance.
Kuan‐Yu Chen +3 more
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Investigation of Using Hyperspectral Vegetation Indices to Assess Brassica Downy Mildew. [PDF]
Liu B, Fernandez MA, Liu TM, Ding S.
europepmc +1 more source
Extraction of Long Time-Series Vegetation Indices from Combined Multisource Satellite Imagery.
Liu Y, Li W, Li L, Zhang N.
europepmc +1 more source
Animal coloration exhibits substantial biogeographic variation, reflecting complex adaptations to both abiotic and biotic environments. Although the evolutionary mechanisms underlying avian plumage coloration have been widely studied, geographic variation in plumage patterning has received far less attention.
Yuqing Han +8 more
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Improving the accuracy of cotton seedling emergence rate estimation by fusing UAV-based multispectral vegetation indices. [PDF]
Li T +10 more
europepmc +1 more source
N‐SDM 2.0: a reengineered software with extended features for nested species distribution modelling
Species distribution models (SDMs) are central tools for predicting and forecasting how species respond to environmental changes, yet their reliability depends on accurately capturing ecological processes across spatial scales while accounting for uneven data availability and resolution.
Antoine Adde +3 more
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Using Machine Learning Methods Combined with Vegetation Indices and Growth Indicators to Predict Seed Yield of Bromus inermis. [PDF]
Ou C +7 more
europepmc +1 more source
Understanding how global change reshapes mountain plant communities is essential for predicting biodiversity and ecosystem function in a warming world. Using resurvey data from over 1400 non‐forest vegetation plots across the European Alps, we show that community‐weighted means of key functional traits capturing important dimensions of plant ecological
Sergey Rosbakh +2 more
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