Matthew Hayek

ORCID: 0000-0001-9792-4362
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About
Contact & Profiles
Research Areas
  • Agriculture Sustainability and Environmental Impact
  • Plant Water Relations and Carbon Dynamics
  • Food Waste Reduction and Sustainability
  • Remote Sensing in Agriculture
  • Atmospheric and Environmental Gas Dynamics
  • Environmental and biological studies
  • Environmental Impact and Sustainability
  • Land Use and Ecosystem Services
  • Economic and Environmental Valuation
  • Climate variability and models
  • Meteorological Phenomena and Simulations
  • Aquaculture Nutrition and Growth
  • Forest ecology and management
  • Zoonotic diseases and public health
  • Energy and Environment Impacts
  • Tree-ring climate responses
  • Conservation, Biodiversity, and Resource Management
  • Food Security and Health in Diverse Populations
  • Marine Bivalve and Aquaculture Studies
  • Rangeland Management and Livestock Ecology
  • Climate Change Policy and Economics
  • Species Distribution and Climate Change
  • Atmospheric chemistry and aerosols
  • Geography and Environmental Studies
  • Marine and fisheries research

New York University
2019-2024

Stockholm University
2023

Aalto University
2023

Wageningen University & Research
2023

University of Miami
2023

Mercer University
2022

City University of New York
2019-2021

Harvard University
2015-2020

Harvard University Press
2012-2019

Planetary Science Institute
2015-2016

Leaf seasonality in Amazon forests Models assume that lower precipitation tropical means less plant-available water and photosynthesis. Direct measurements the Amazon, however, show production remains constant or increases dry season. To investigate this mismatch, Wu et al. use tower-based cameras to detect phenology (i.e., seasonal patterns) of leaf dynamics tree crowns Amazonia, Brazil, relate patterns CO 2 flux. Accounting for age-dependent variation among individual leaves is necessary...

10.1126/science.aad5068 article EN Science 2016-02-25

Abstract New estimates of greenhouse gas (GHG) emissions from the food system were developed at country level, for period 1990–2018, integrating data crop and livestock production, on-farm energy use, land use change, domestic transport waste disposal. With these new country-level components in place, by adding global regional supply chains, we estimate that total GHG about 16 CO 2 eq yr −1 2018, or one-third anthropogenic total. Three quarters emissions, 13 Gt , generated either within farm...

10.1088/1748-9326/ac018e article EN cc-by Environmental Research Letters 2021-06-01

Abstract. We present results from the FAOSTAT emissions shares database, covering agri-food systems and their to total anthropogenic for 196 countries 40 territories period 1990–2019. find that in 2019, global system were 16.5 (95 %; CI range: 11–22) billion metric tonnes (Gt CO2 eq. yr−1), corresponding 31 % (range: 19 %–43 %) of emissions. Of total, within farm gate – crop livestock production processes including on-farm energy use 7.2 Gt yr−1; land change, due deforestation peatland...

10.5194/essd-14-1795-2022 article EN cc-by Earth system science data 2022-04-14

Gross ecosystem productivity (GEP) in tropical forests varies both with the environment and biotic changes photosynthetic infrastructure, but our understanding of relative effects these factors across timescales is limited. Here, we used a statistical model to partition variability seven years eddy covariance-derived GEP central Amazon evergreen forest into two main causes: variation environmental drivers (solar radiation, diffuse light fraction, vapor pressure deficit) that interact...

10.1111/gcb.13509 article EN Global Change Biology 2016-09-19

Summary The impact of increases in drought frequency on the Amazon forest's composition, structure and functioning remain uncertain. We used a process‐ individual‐based ecosystem model ( ED 2) to quantify vulnerability increased recurrence. generated meteorologically realistic, drier‐than‐observed rainfall scenarios for two forest sites, Paracou (wetter) Tapajós (drier), evaluate impacts more frequent droughts biomass, composition. wet site was insensitive tested scenarios, whereas at dry...

10.1111/nph.15185 article EN cc-by New Phytologist 2018-05-22

Abstract. Canopy and aerodynamic conductances (gC gA) are two of the key land surface biophysical variables that control response schemes in climate models. Their representation is crucial for predicting transpiration (λET) evaporation (λEE) flux components terrestrial latent heat (λE), which has important implications global change water resource management. By physical integration radiometric temperature (TR) into an integrated framework Penman–Monteith Shuttleworth–Wallace models, we...

10.5194/hess-20-4237-2016 article EN cc-by Hydrology and earth system sciences 2016-10-19

In the US, there is growing interest in producing more beef from cattle raised exclusively pasture-based systems, rather than grain-finishing feedlot due to perception that it environmentally sustainable. Yet existing understanding of environmental impacts systems limited by a lack clarity about herd dynamics. We model nationwide transition grain- grass-finishing using demographics present-day cattle. order produce same quantity as system, we find shift grass-fed would require increasing...

10.1088/1748-9326/aad401 article EN cc-by Environmental Research Letters 2018-07-17

Abstract. The Ecosystem Demography model version 2.2 (ED-2.2) is a terrestrial biosphere that simulates the biophysical, ecological, and biogeochemical dynamics of vertically horizontally heterogeneous ecosystems. In companion paper (Longo et al., 2019a), we described how solves energy, water, carbon cycles, verified high degree conservation these properties in long-term simulations include (multi-decadal) vegetation dynamics. Here, present detailed assessment model's ability to represent...

10.5194/gmd-12-4347-2019 article EN cc-by Geoscientific model development 2019-10-14

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. We present results from the FAOSTAT agri-food systems emissions database, relative to 236 countries and territories over period 1990–2019. find that in 2019, world-total food were 16.5 billion metric tonnes (Gt CO2eq yr−1), corresponding 31 % of total anthropogenic emissions. Of total, global within farm gate –from crop livestock production processes including on-farm energy use—were 7.2 Gt yr−1; land use change, due deforestation peatland degradation, 3.5 pre- post-production...

10.5194/essd-2021-389 article EN cc-by 2021-11-07

In 2018, over nine billion chickens were slaughtered in the United States. As demand for increases, so too have concerns regarding welfare of these systems and damage such practices cause to surrounding ecosystems. To address concerns, there is large-scale interest raising on pasture switching slower-growing, higher-welfare breeds as soon 2024. We created a box model US chicken demographics characterize aggregate broiler land-use consequences at country scale shifts slower-growing chickens,...

10.1098/rsos.210478 article EN cc-by Royal Society Open Science 2022-06-01

Abstract. Estimates of CO2 fluxes that are based on atmospheric measurements rely upon a meteorology model to simulate transport. These models provide quantitative link between the surface and taken downwind. Errors in can therefore cause errors estimated fluxes. Meteorology correlate or covary across time and/or space particularly worrisome; they biases modeled easily confused with signal from fluxes, difficult characterize. In this paper, we leverage an ensemble global outputs combined...

10.5194/acp-15-2903-2015 article EN cc-by Atmospheric chemistry and physics 2015-03-13

Animal agriculture contributes significantly to global greenhouse gas (GHG) emissions—an estimated 12%-20% of total anthropogenic emissions. This has led both governmental and private actors propose various ways mitigate those climate impacts. paper applies a One Health lens the issue, arguing that choice solutions should not only consider potential reduce GHG emissions—which is always given—but also implications for public health animal welfare. With this perspective, we examine welfare...

10.3389/fanim.2024.1281450 article EN cc-by Frontiers in Animal Science 2024-05-15

Abstract Greenhouse gas emissions from meat and dairy production are often highly uncertain; these typically estimated using inventory-based, ‘bottom-up’ models, which contain uncertainties that difficult to quantify. Modeled estimates can be corroborated atmospheric measurements—taken above downwind of animal regions—to produce ‘top-down’ estimates. Top-down bottom-up methane show good agreement when considering global emissions. However, in the US, where is predominantly intensified with...

10.1088/1748-9326/ac02ef article EN cc-by Environmental Research Letters 2021-05-19
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