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Techniques and Methods

Filter Total Items: 40

Improving airborne disaster response coordination and communication with real-time open environmental data

Air pollution exposure in the United States is worsening due to changes in the environment and extreme natural events, such as wildfires and volcanic eruptions.
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Improving airborne disaster response coordination and communication with real-time open environmental data

Air pollution exposure in the United States is worsening due to changes in the environment and extreme natural events, such as wildfires and volcanic eruptions.
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Renewable Resilience: City-Scale Geothermal Energy Everywhere

Despite the proven efficacy of geothermal energy as a city-scale heating and cooling resource, the relative newness of most city-scale applications using diverse technologies has resulted in limited widespread adoption. We aim to develop authoritative information suitable for city-managers and other decision-makers. Geothermal resources are ubiquitous and diverse, with technologies available bot
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Renewable Resilience: City-Scale Geothermal Energy Everywhere

Despite the proven efficacy of geothermal energy as a city-scale heating and cooling resource, the relative newness of most city-scale applications using diverse technologies has resulted in limited widespread adoption. We aim to develop authoritative information suitable for city-managers and other decision-makers. Geothermal resources are ubiquitous and diverse, with technologies available bot
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Using a network of networks for high-frequency multi-depth soil moisture observations to infer spatial and temporal drivers of subsurface preferential flow

Subsurface preferential flow (PF = water bypassing the soil matrix) provides rapid flowpaths for water and any substances transported with it, thereby profoundly impacting the recharge of aquifers, the spreading of contaminants, the health of the soil, and the functioning of ecosystems. It involves a complexity of processes that are poorly understood to the degree that current science provides no
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Using a network of networks for high-frequency multi-depth soil moisture observations to infer spatial and temporal drivers of subsurface preferential flow

Subsurface preferential flow (PF = water bypassing the soil matrix) provides rapid flowpaths for water and any substances transported with it, thereby profoundly impacting the recharge of aquifers, the spreading of contaminants, the health of the soil, and the functioning of ecosystems. It involves a complexity of processes that are poorly understood to the degree that current science provides no
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Status of butterflies in the United States

The pervasive nature of insect species’ declines has led to the specter of an “Insect Armageddon” in the popular press. Insect-derived ecosystem services are valued at > $57 billion in the U.S. and thus the loss of insects has the potential to fundamentally disrupt natural and economic systems.The causes of insect declines have been linked to changes in climate, land use and pesticide use, but the
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Status of butterflies in the United States

The pervasive nature of insect species’ declines has led to the specter of an “Insect Armageddon” in the popular press. Insect-derived ecosystem services are valued at > $57 billion in the U.S. and thus the loss of insects has the potential to fundamentally disrupt natural and economic systems.The causes of insect declines have been linked to changes in climate, land use and pesticide use, but the
Learn More

Developing a macroecological understanding of invasive plant impacts based on abundance and trait data

Understanding invasive plant impacts can provide insight into community assembly and inform the development of successful management strategies. The impacts of invasive species depend on how they alter patterns of abundance within recipient communities and on the characteristics of the invaders and the affected species. Research has suggested that common species may be more impacted by invasions,
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Developing a macroecological understanding of invasive plant impacts based on abundance and trait data

Understanding invasive plant impacts can provide insight into community assembly and inform the development of successful management strategies. The impacts of invasive species depend on how they alter patterns of abundance within recipient communities and on the characteristics of the invaders and the affected species. Research has suggested that common species may be more impacted by invasions,
Learn More

Standardizing, aggregating, analyzing and disseminating global wildlife genetic and genomic data for improved management and advancement of community best practices

Global biodiversity is rapidly declining, threatening humans, ecosystems, and the services that society relies upon. Monitoring and understanding the extent of biodiversity declines can support policy decisions. Genetic diversity is the foundation of biodiversity, determining the capacity of populations to adapt to environmental changes and to sustain function and structure in all ecosystems. Whil
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Standardizing, aggregating, analyzing and disseminating global wildlife genetic and genomic data for improved management and advancement of community best practices

Global biodiversity is rapidly declining, threatening humans, ecosystems, and the services that society relies upon. Monitoring and understanding the extent of biodiversity declines can support policy decisions. Genetic diversity is the foundation of biodiversity, determining the capacity of populations to adapt to environmental changes and to sustain function and structure in all ecosystems. Whil
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Developing and Implementing an International Macroseismic Scale (IMS) for Earthquake Engineering, Earthquake Science, and Rapid Damage Assessment

The USGS “Did You Feel It” (DYFI) is an extremely popular way for members of the public to contribute to earthquake science and earthquake response. DYFI has been in operation for nearly two decades (1999-2019) in the U.S., and for nearly 15 years globally. During that period the amount of data collected is astounding: Over 5 million individual DYFI intensity reports—spanning all magnitude and dis
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Developing and Implementing an International Macroseismic Scale (IMS) for Earthquake Engineering, Earthquake Science, and Rapid Damage Assessment

The USGS “Did You Feel It” (DYFI) is an extremely popular way for members of the public to contribute to earthquake science and earthquake response. DYFI has been in operation for nearly two decades (1999-2019) in the U.S., and for nearly 15 years globally. During that period the amount of data collected is astounding: Over 5 million individual DYFI intensity reports—spanning all magnitude and dis
Learn More

Improving representation of groundwater in foundational Great Lakes hydrologic and hydrodynamic models and data sets

Groundwater plays a critical role in the water balance, however the groundwater component of the hydrologic cycle is frequently overlooked at basin scales because it is difficult to observe and quantify. We address this problem through a novel framework that combines existing hydrological models and data sets with groundwater flux estimates across Earth's largest system of lakes; the Laurentian G
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Improving representation of groundwater in foundational Great Lakes hydrologic and hydrodynamic models and data sets

Groundwater plays a critical role in the water balance, however the groundwater component of the hydrologic cycle is frequently overlooked at basin scales because it is difficult to observe and quantify. We address this problem through a novel framework that combines existing hydrological models and data sets with groundwater flux estimates across Earth's largest system of lakes; the Laurentian G
Learn More

Markov decision processes in non-autonomous socio-ecological systems

Our ability to effectively manage natural resources is founded in an understanding of how our actions and the environment influence populations, communities, and ecosystems. Current practices use monitoring data from the past to determine key ecological relationships and make predictions about the future with the assumption that those relationships will remain constant. However, many natural syste
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Markov decision processes in non-autonomous socio-ecological systems

Our ability to effectively manage natural resources is founded in an understanding of how our actions and the environment influence populations, communities, and ecosystems. Current practices use monitoring data from the past to determine key ecological relationships and make predictions about the future with the assumption that those relationships will remain constant. However, many natural syste
Learn More

Using a multi-scale approach to synthesize measurements and models of C4 photosynthesis

Plants convert carbon dioxide into sugars for food during photosynthesis, and this provides food for all animal life. However, photosynthesis is inhibited when a plant’s enzymes use oxygen instead of carbon dioxide. To avoid this use of oxygen, some plants developed a photosynthetic adaptation – called C4 photosynthesis – to concentrate carbon dioxide around the enzymes. While less than 5% of plan
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Using a multi-scale approach to synthesize measurements and models of C4 photosynthesis

Plants convert carbon dioxide into sugars for food during photosynthesis, and this provides food for all animal life. However, photosynthesis is inhibited when a plant’s enzymes use oxygen instead of carbon dioxide. To avoid this use of oxygen, some plants developed a photosynthetic adaptation – called C4 photosynthesis – to concentrate carbon dioxide around the enzymes. While less than 5% of plan
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Ecological Forecasting Workshop

Natural resource managers are coping with rapid changes in both environmental conditions and ecosystems. Enabled by recent advances in data collection and assimilation, short-term ecological forecasting may be a powerful tool to help resource managers anticipate impending changes in ecosystem dynamics (that is, the approaching near-term changes in ecosystems). Managers may use the information in f
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Ecological Forecasting Workshop

Natural resource managers are coping with rapid changes in both environmental conditions and ecosystems. Enabled by recent advances in data collection and assimilation, short-term ecological forecasting may be a powerful tool to help resource managers anticipate impending changes in ecosystem dynamics (that is, the approaching near-term changes in ecosystems). Managers may use the information in f
Learn More

Capture-recapture meets big data: integrating statistical classification with ecological models of species abundance and occurrence

Advances in new technologies such as remote cameras, noninvasive genetics and bioacoustics provide massive quantities of electronic data. Much work has been done on automated (“machine learning”) methods of classification which produce “sample class designations” (e.g., identification of species or individuals) that are regarded as observed data in ecological models. However, these “data” are actu
link

Capture-recapture meets big data: integrating statistical classification with ecological models of species abundance and occurrence

Advances in new technologies such as remote cameras, noninvasive genetics and bioacoustics provide massive quantities of electronic data. Much work has been done on automated (“machine learning”) methods of classification which produce “sample class designations” (e.g., identification of species or individuals) that are regarded as observed data in ecological models. However, these “data” are actu
Learn More