Search Results for: du z

On the relationship between continuous measures of canopy greenness derived using near-surface remote sensing and satellite-derived vegetation products

Over the last two decades, satellite-derived estimates of biophysical variables have been increasingly used in operational services, requiring quantification of their accuracy and uncertainty. Evaluating satellite-derived vegetation products is challenging due to their moderate spatial resolution, the heterogeneity of the terrestrial landscape, and difficulties in adequately characterising spatial and temporal […]

Transient traceability analysis of land carbon storage dynamics: Procedures and its application to two forest ecosystems

Uptake of anthropogenically emitted carbon (C) dioxide by terrestrial ecosystem is critical for determining future climate. However, Earth system models project large uncertainties in future C storage. To help identify sources of uncertainties in model predictions, this study develops a transient traceability framework to trace components of C storage dynamics. […]

Food‐animal production and the spread of antibiotic resistance: The role of ecology

Antibiotic‐resistant pathogens increasingly threaten human health. Widespread application of antibiotics to animal populations raised for food, including chickens, cattle, and pigs, selects for resistance and contributes to the evolution of those pathogens. Despite a half century of research establishing the mechanisms and pathways by which antibiotic‐resistant bacteria spread from food […]

A steady-state approximation approach to simulate seasonal leaf dynamics of deciduous broadleaf forests via climate variables

As leaves are the basic elements of plants that conduct photosynthesis and transpiration, vegetation leaf dynamics controls canopy physical and biogeochemical processes and hence largely influences the interactive exchanges of energy and materials between the land surface and the atmosphere. Given that the processes of plant leaf allocation is highly […]

PhenoCam network harnesses ‘big data’ to predict impact of warmer climate on ecosystem productivity and carbon cycling

A new paper by Northern Arizona University professor Andrew Richardson published in the journal Scientific Data describes a vast network of digital cameras designed to capture millions of images documenting seasonal changes of vegetation across North America. The network, dubbed PhenoCam, is the result of a 10-year collaboration between Richardson, who […]