Locate family members with the last name NETO-BRADLEY.

André P. Neto-Bradley is an academic who published a paper in 2021-08-14 entitled Energy transition pathways amongst low-income urban households: A mixed method clustering approach. The paper was published in a journal entitled MethodsX.

BARBARA NETO-BRADLEY is an academic who published a paper in 2021 entitled Data from: Phylogenetic history of vascular plant metabolism revealed using a macroevolutionary comm. BARBARA NETO-BRADLEY published this work as part of a team: Neto-Bradley, Barbara. Here is a description of this work: <,,b>,Abstract<,/b>,<,br/>,<,div>,While the fundamental biophysics of C3 photosynthesis is highly conserved across plants, substantial variation in leaf structure and enzymatic activity translates into variability in rates of photosynthesis. Although this variation is well-documented, it remains poorly understood how photosynthetic rates evolve over short and long time scales, and whether these macroevolutionary changes are related to the evolution of key morphological and biochemical leaf traits. Large-scale comparative studies have been hampered by the substantial logistical and statistical challenges in disentangling evolutionary adaptation from environmental acclimation. Here we get around this limitation with a ‘macroevolutionary common garden' approach in which we measured the metabolic traits.

Barbara M. Neto-Bradley is an academic who published a paper in 2023-09-04 entitled Plant traits and associated data from a warming experiment, a seabird colony, and along elevation in Svalbard. The paper was published in a journal entitled Scientific Data.

BARBARA-M. NETO-BRADLEY is an academic who published a paper in 2020 entitled Macroevolution of metabolic and morphological traits in vascular plants. BARBARA-M. NETO-BRADLEY published this work as part of a team: Neto-Bradley, Barbara M.. Here is a description of this work: If we hope to mitigate the effects of the climate crisis, it is critical that we accurately represent the contributions of plants in global models and predictions. The need to link global cycles to biological processes that feed into these cycles involves making scaling assumptions. In the case of photosynthesis, most global models use parameters extrapolated from a handful of species. However, the variation in leaf form and function that we observe both within and across species makes one question the biological accuracy of this assumption. Despite advances in quantifying the differences between deeply divergent lineages, there is still a substantial gap in what we know about how C3 photosynthesis evolves both at very deep and very shallow evolutionary timescales. Filling this gap will allow us to better infer and incorporate photosynthetic beha.