Results 111 to 120 of about 91,826 (356)

Low‐cost observations and experiments return a high value in plant phenology research

open access: yesApplications in Plant Sciences, 2020
Plant ecologists in the Anthropocene are tasked with documenting, interpreting, and predicting how plants respond to environmental change. Phenology, the timing of seasonal biological events including leaf‐out, flowering, fruiting, and leaf senescence ...
Caitlin McDonough MacKenzie   +2 more
doaj   +1 more source

Integrating phytoplankton phenology, traits, and model‐data fusion to advance bloom prediction

open access: yesLimnology and Oceanography Letters, EarlyView.
Abstract While there is a diversity of approaches for modeling phytoplankton blooms, their accuracy in predicting the onset and manifestation of a bloom is still lagging behind what is needed to support effective management. We outline a framework that integrates trait theory and ecosystem modeling to improve bloom prediction.
Matthew R. Hipsey   +6 more
wiley   +1 more source

Emerging patterns of CO2 : O2 dynamics in rivers and their link to ecosystem carbon processing

open access: yesLimnology and Oceanography Letters, EarlyView.
Abstract Aquatic metabolism is reflected in the dynamics of dissolved oxygen (O2) and carbon dioxide (CO2) concentrations. Thus, paired measurements of CO2 and O2 concentrations can capture the metabolic characteristics of an ecosystem, with promising results in lakes.
Gerard Rocher‐Ros   +9 more
wiley   +1 more source

An Object-Based Paddy Rice Classification Using Multi-Spectral Data and Crop Phenology in Assam, Northeast India

open access: yesRemote Sensing, 2016
Rice is the staple food for half of the world’s population. Therefore, accurate information of rice area is vital for food security. This study investigates the effect of phenology for rice mapping using an object-based image analysis (OBIA) approach ...
Mrinal Singha, Bingfang Wu, Miao Zhang
doaj   +1 more source

Phenological Predictability Index in BRAHMS: a tool for herbarium‐based phenological studies

open access: yesEcography, 2012
Phenological Predictability Index (PPI) is a tool for analysing phenological patterns incorporating herbarium data within BRAHMS (Botanical Research and Herbarium Management System). PPI produces a maximum‐activity period and associated event predictability index between ∼0 and 1.
Proença, C   +4 more
openaire   +2 more sources

Revisiting the latitudinal cline of catadromy in Japanese eels

open access: yesLimnology and Oceanography Letters, EarlyView.
Abstract Partial migration of organisms, in which only a subset of a population migrates, plays an important role in life‐history strategies and population resilience in many taxa, yet the mechanisms shaping it under changing environments need further investigation.
Kazuki Yokouchi   +5 more
wiley   +1 more source

Revisiting the taxonomy and nomenclature of Phyla, a small genus of Verbenaceae

open access: yesNordic Journal of Botany, EarlyView.
Phyla is unique within Verbenaceae due to the presence of malpighiaceous hairs. Its taxonomy has long been marked by difficulties in defining species boundaries. The most recent revision of the genus recognized five species and three varieties. In this study, however, we recognize only two species and no varieties: P.
Pedro Henrique Cardoso   +3 more
wiley   +1 more source

Phenological response to climatic change depends on spring warming velocity

open access: yesCommunications Earth & Environment
Climatic change is dramatically altering phenology but generalities regarding tempo and mode of response remain limited. Here we present a general model framework incorporating spring temperature, velocity of spring warming, and species’ thermal ...
Robert Guralnick   +3 more
doaj   +1 more source

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