Marielle N. Smith

ORCID: 0000-0003-2323-331X
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About
Contact & Profiles
Research Areas
  • Plant Water Relations and Carbon Dynamics
  • Remote Sensing in Agriculture
  • Forest ecology and management
  • Ecology and Vegetation Dynamics Studies
  • Species Distribution and Climate Change
  • Remote Sensing and LiDAR Applications
  • Plant responses to elevated CO2
  • Plant and animal studies
  • Leaf Properties and Growth Measurement
  • Environmental and biological studies
  • Atmospheric and Environmental Gas Dynamics
  • Tree-ring climate responses
  • Climate variability and models
  • Conservation, Biodiversity, and Resource Management
  • Rangeland and Wildlife Management
  • Hydrology and Watershed Management Studies
  • Atmospheric chemistry and aerosols
  • Oil Palm Production and Sustainability
  • Vehicle emissions and performance
  • Forest Ecology and Biodiversity Studies
  • Soil erosion and sediment transport
  • Wildlife Ecology and Conservation
  • Economic and Environmental Valuation
  • Nutrition and Health in Aging
  • Ecosystem dynamics and resilience

Michigan State University
2018-2024

Bangor University
2022-2024

Central South University of Forestry and Technology
2024

Central South University
2024

University of Arizona
2013-2020

Ecological Society of America
2020

Rocky Mountain Biological Laboratory
2013

Summary Satellite and tower‐based metrics of forest‐scale photosynthesis generally increase with dry season progression across central Amazônia, but the underlying mechanisms lack consensus. We conducted demographic surveys leaf age composition, measured dependence physiology in broadleaf canopy trees abundant species at a eastern Amazon site. Using novel leaf‐to‐branch scaling approach, we used these data to independently test much‐debated hypothesis – arising from satellite observations...

10.1111/nph.15056 article EN publisher-specific-oa New Phytologist 2018-03-04

Summary Seasonal dynamics in the vertical distribution of leaf area index ( LAI ) may impact seasonality forest productivity Amazonian forests. However, until recently, fine‐scale observations critical to revealing ecological mechanisms underlying these changes have been lacking. To investigate variation with and drought we conducted monthly ground‐based LiDAR surveys over 4 yr at an Amazon site. We analysed temporal vertically structured along axes both canopy height light environments....

10.1111/nph.15726 article EN publisher-specific-oa New Phytologist 2019-02-05

Predictions of the magnitude and timing leaf phenology in Amazonian forests remain highly controversial. Here, we use terrestrial LiDAR surveys every two weeks spanning wet dry seasons Central Amazonia to show that plant varies strongly across vertical strata old-growth forests, but is sensitive disturbances arising from forest fragmentation. In combination with continuous microclimate measurements, find when maximum daily temperatures reached 35 °C latter part season, upper canopy large...

10.1038/s41467-022-28490-7 article EN cc-by Nature Communications 2022-02-17

Darwin first proposed that species with larger ecological breadth have greater phenotypic variation. We tested this hypothesis by comparing intraspecific variation in specific leaf area (SLA) to species' local elevational range and assessing how external (abiotic) filters may influence observed differences among species. Understanding the patterns of individual within between populations will help evaluate differing hypotheses for structuring communities distribution species.We selected 21...

10.3732/ajb.1300284 article EN American Journal of Botany 2013-12-17

Assessing the persistent impacts of fragmentation on aboveground structure tropical forests is essential to understanding consequences land use change for carbon storage and other ecosystem functions. We investigated influence edge distance fragment size canopy structure, woody biomass (AGB), AGB turnover in Biological Dynamics Forest Fragments Project (BDFFP) central Amazon, Brazil, after 22+ yr isolation, by combining variables collected with portable profiling lidar airborne laser...

10.1002/eap.1952 article EN publisher-specific-oa Ecological Applications 2019-06-17

Summary The prediction of vegetation responses to climate requires a knowledge how climate‐sensitive plant traits mediate not only the individual plants, but also shifts in species and functional compositions whole communities. emission isoprene gas – trait shared by one‐third tree is known protect leaf biochemistry under climatic stress. Here, we test hypothesis that shapes tropical forests enhancing tolerance emitting trees heat drought. Using forest inventory data, estimated proportional...

10.1111/nph.15304 article EN publisher-specific-oa New Phytologist 2018-07-04

Abstract Experimental research shows that isoprene emission by plants can improve photosynthetic performance at high temperatures. But whether species emit have higher thermal limits than non‐emitting remains largely untested. Tropical are adapted to narrow temperature ranges and global warming could result in significant ecosystem restructuring due small variations species' tolerances. We compared responses of 26 co‐occurring tropical tree liana test isoprene‐emitting more tolerant...

10.1111/pce.13564 article EN publisher-specific-oa Plant Cell & Environment 2019-04-17

Abstract. In Amazon forests, the relative contributions of climate, phenology, and disturbance to net ecosystem exchange carbon (NEE) are not well understood. To partition influences across various timescales, we use a statistical model represent eddy-covariance-derived NEE in an evergreen eastern forest as constant response changing meteorology phenology throughout decade. Our best fit represented hourly variations changes due sunlight, while seasonal arose from influencing photosynthesis...

10.5194/bg-15-4833-2018 article EN cc-by Biogeosciences 2018-08-15

Abstract Tropical ecosystems are undergoing unprecedented rates of degradation from deforestation, fire, and drought disturbances. The collective effects these disturbances threaten to shift large portions tropical such as Amazon forests into savanna‐like structure via tree loss, functional changes, the emergence fire (savannization). Changes forest states a more open can affect local microclimates, surface energy fluxes, biosphere–atmosphere interactions. A predominant type ecosystem state...

10.1002/ecs2.3231 article EN cc-by Ecosphere 2020-09-01

Amazon forests are characterized by rich structural diversity. However, the influence of factors such as topography, soil attributes, and external disturbances on variability is not always well characterized, traditional metrics may be inadequate to capture this type complexity. While LiDAR offers expanded insights, parameters used in analysis, mean or maximum canopy height, directly linked environmental variables like topography. Emerging approaches merge with machine learning uncover...

10.1016/j.ecoinf.2024.102628 article EN cc-by-nc Ecological Informatics 2024-05-05

Abstract Vegetation growth is affected by past rates and climate variability. However, the impacts of vegetation carryover (VGC; biotic) lagged climatic effects (LCE; abiotic) on tree stem radial may be decoupled from photosynthetic capacity, as higher photosynthesis does not always translate into greater growth. To assess interaction tree‐species level VGC LCE with ecosystem‐scale processes, we utilized tree‐ring width (TRW) data for three species: Castanopsis eyrei (CE), Castanea henryi...

10.1111/gcb.17441 article EN Global Change Biology 2024-07-01

The risk of a tipping point for Amazon forests — perturbation threshold beyond which abrupt, irreversible (or difficult to reverse) changes in forest function and large-scale tree die-off occur motivates much recent science policy work understand reduce the risk. However, virtually all date focuses on points as basin-wide phenomenon. To how may be triggered, we urgently need study mechanisms onsets at local-scales pivotal forests.  Here, used 12+ years observations (spread...

10.5194/egusphere-egu24-14707 preprint EN 2024-03-09

Tropical forest photosynthesis can decline at high temperatures due to (1) biochemical responses increasing temperature and (2) stomatal vapor pressure deficit (VPD), which is associated with temperature. It challenging disentangle the influence of these two mechanisms on in observations, because VPD are tightly correlated tropical forests. Nonetheless, quantifying relative strength essential for understanding how gross primary productivity (GPP) will respond climate change, atmospheric CO2...

10.31223/x52t3f preprint EN cc-by EarthArXiv (California Digital Library) 2024-04-04

In Amazonian tropical forests, seasonal photosynthetic activity is influenced by meteorology and leaf phenological cycles. Nevertheless, our understanding of the relationship between these drivers limited. Do all forests exhibit similar ecosystem responses to rainfall irradiance? How do soil tree-crown functional characteristics (composition lifespans emergence/abscission times) influence cycles? Here, we compared two rainforests located in central (Tapajós-K67) southern (Jaru-RJA) Amazonia...

10.2139/ssrn.4835444 preprint EN 2024-01-01

<title>Abstract</title> Forest structure plays an important role in determining habitat suitability for plants and animals, but these relationships are poorly characterized different biological communities tropical forests. We used ground-based lidar to quantify structural metrics determine their contribution predicting species diversity compositional changes between plots nine groups Amazonian forest. For each group, we calculated Fisher's alpha index summarized community composition using...

10.21203/rs.3.rs-4631979/v1 preprint EN Research Square (Research Square) 2024-07-17

Tropical forest photosynthesis can decline at high temperatures due to (1) biochemical responses increasing temperature and (2) stomatal vapor pressure deficit (VPD), which is associated with temperature. It challenging disentangle the influence of these two mechanisms on in observations, because VPD are tightly correlated tropical forests. Nonetheless, quantifying relative strength essential for understanding how gross primary production (GPP) will respond climate change, atmospheric CO

10.1111/gcb.17449 article EN Global Change Biology 2024-09-01
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