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Articles by Mark Borsuk
Ecosystem technology (ecotech): Harnessing natural processes to address global challenges
Abstract Over the past 80 years, biotechnology has advanced agriculture, health care, and economic development by harnessing biological processes from the organism inward, i.e., from the organ system to the molecular scale. Today’s global challenges, including biodiversity loss, climate change, and pollution, demand a complementary technological expansion inspired by processes operating from the organism outward, i.e., at the levels of populations, communities, ecosystems, and the biosphere.
Local land‐use decisions drive losses in river biological integrity to 2099: Using machine learning to disentangle interacting drivers of ecological change in policy forecasts
1 INTRODUCTION Climate and land-use change are concomitantly impacting the health of riverine ecosystems around the world (Pan et al., 2020; Scheurer et al., 2009; Whitehead et al., 2013). Local land-use decisions can protect riverine health by, for example, reducing erosion and nutrient runoff, and protecting the integrity of riparian vegetation (Delpla et al., 2009; Murdoch et al., 2000; Whitehead et al., 2009).
Using the Theory of Planned Behavior to Understand Family Forest Owners’ Intended Responses to Invasive Forest Insects
Jonathan R. Holta Civil & Environmental Engineering, Duke University, Durham, NC, USACorrespondencejonathan.holt@duke.edu https://orcid.org/0000-0001-6791-7858View further author information , Brett J. Butlerb USDA Forest Service Northern Research Station, Amherst, MA, USAhttps://orcid.org/0000-0002-2465-7993View further author information , Mark E.
BYU ScholarsArchive - International Congress on Environmental Modelling and Software: Patterns of persistent, bioaccumulative, and toxic pollutant co-contamination in marine and freshwater fish
Home > Engineering and Technology > Civil and Environmental Engineering > iEMSs Conference > 2018 > Stream D > 9 Presenter/Author Information Kimberly BourneFollow Mark E.
International Congress on Environmental Modelling and Software: Efficient Inference for Mechanistic Models with Hamiltonian Monte Carlo
Home > Engineering and Technology > Civil and Environmental Engineering > iEMSs Conference > 2018 > Stream B > 3 Presenter/Author Information Christopher Krapu, Duke UniversityFollow Mark Borsuk, Duke UniversityFollow Keywords Bayesian inference. Hydrology modeling.
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