Despite the numerous studies which have been conducted during the past decade on species ranges and their relationship to the environment, our understanding of how environmental conditions shape species distribution is still far from complete. Yet, some process-based species distribution models have been able to simulate plants and insects distribution at a global scale. These models strongly r...

to predict growth and yield, it is needed to study sub-models of phenology, dry matter production and partitioning, leaf area and soil water balance. in the present study, for predicting yield of faba bean under gorgan conditions, parameters of sub-models were estimated using data of planting dates in gorgan and data of other researchers in different regions of world. daily variations of phenol...

Spring leaf phenology and its response to climate change have crucial effects on surface albedo, carbon balance, the water cycle of terrestrial ecosystems. Based long-term (period 1963–2014) in situ observations budburst date unfolding more than 300 deciduous woody species from 32 sites across temperate zone China, we conducted model-data comparison spatial temporal variations for spring calcul...

Remotely-sensed estimates of forest biomass are usually based on various measurements of canopy height, area, volume or texture, as derived from LiDAR, radar or fine spatial resolution imagery. These measurements are then calibrated to estimates of stand biomass that are primarily based on tree stem diameters. Although humid tropical forest seasonality can have low amplitudes compared with temp...

[1] Predicting the global carbon and water cycle requires a realistic representation of vegetation phenology in climate models. However most prognostic phenology models are not yet suited for global applications, and diagnostic satellite data can be uncertain and lack predictive power. We present a framework for data assimilation of Fraction of Photosynthetically Active Radiation absorbed by ve...

UNLABELLED • PREMISE OF THE STUDY Most alpine plants in the Northeast United States are perennial and flower early in the growing season, extending their limited growing season. Concurrently, they risk the loss of reproductive efforts to late frosts. Quantifying long-term trends in northeastern alpine flower phenology and late-spring/early-summer frost risk is limited by a dearth of phenology...

We are now reaching the stage at which specific genetic factors with known physiological effects can be tied directly and quantitatively to variation in phenology. With such a mechanistic understanding, scientists can better predict phenological responses to novel seasonal climates. Using the widespread model species Arabidopsis thaliana, we explore how variation in different genetic pathways c...

Apple orchard management practices may affect development and phenology of arthropod pests, such as the codling moth (CM), Cydia pomonella (L.) (Lepidoptera: Tortricidae), which is a serious internal fruit-feeding pest of apples worldwide. Estimating population dynamics and accurately predicting the timing of CM development and phenology events (for instance, adult flight, and egg-hatch) allows...

ecological studies based on field data have shown that vegetation phenology follows a relatively well-defined temporal pattern. this pattern, that is reflecting the cumulative temperature from the date of the beginning of the growth, can be represented by the use of a suitable model. due to the spatial, temporal, and ecological complexity of these processes a simple method to monitor phenologic...