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Quantifying Anthropogenic Dust Emissions
by
USDA-ARS : Agricultural Research Service
, USDA Natural Resources Conservation Service, Conservation Effects Assessment Project (CEAP)
, Institut d'écologie et des sciences de l'environnement de Paris (iEES) ; Institut National de la Recherche Agronomique (INRA)-Université Pierre et Marie Curie - Paris 6 (UPMC)-Université Paris-Est Créteil Val-de-Marne - Paris 12 (UPEC UP12)-Centre National de la Recherche Scientifique (CNRS)
, Webb, Nicholas, P
, Pierre, Caroline
in
Agricultural ecosystems
/ Agricultural management
/ Agricultural production
/ agriculture
/ Air quality
/ Anthropogenic factors
/ Assessments
/ Biogeochemical cycles
/ Change detection
/ drylands
/ Dust
/ Dust cycle
/ Dust emission
/ Ecology, environment
/ Emission analysis
/ Emissions
/ Environmental changes
/ Environmental impact
/ Eolian processes
/ Erosion
/ Human influences
/ Land cover
/ land cover change
/ Land management
/ Land use
/ Land use management
/ Life Sciences
/ Model accuracy
/ Soil erosion
/ Wind erosion
2018
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Quantifying Anthropogenic Dust Emissions
by
USDA-ARS : Agricultural Research Service
, USDA Natural Resources Conservation Service, Conservation Effects Assessment Project (CEAP)
, Institut d'écologie et des sciences de l'environnement de Paris (iEES) ; Institut National de la Recherche Agronomique (INRA)-Université Pierre et Marie Curie - Paris 6 (UPMC)-Université Paris-Est Créteil Val-de-Marne - Paris 12 (UPEC UP12)-Centre National de la Recherche Scientifique (CNRS)
, Webb, Nicholas, P
, Pierre, Caroline
in
Agricultural ecosystems
/ Agricultural management
/ Agricultural production
/ agriculture
/ Air quality
/ Anthropogenic factors
/ Assessments
/ Biogeochemical cycles
/ Change detection
/ drylands
/ Dust
/ Dust cycle
/ Dust emission
/ Ecology, environment
/ Emission analysis
/ Emissions
/ Environmental changes
/ Environmental impact
/ Eolian processes
/ Erosion
/ Human influences
/ Land cover
/ land cover change
/ Land management
/ Land use
/ Land use management
/ Life Sciences
/ Model accuracy
/ Soil erosion
/ Wind erosion
2018
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Quantifying Anthropogenic Dust Emissions
by
USDA-ARS : Agricultural Research Service
, USDA Natural Resources Conservation Service, Conservation Effects Assessment Project (CEAP)
, Institut d'écologie et des sciences de l'environnement de Paris (iEES) ; Institut National de la Recherche Agronomique (INRA)-Université Pierre et Marie Curie - Paris 6 (UPMC)-Université Paris-Est Créteil Val-de-Marne - Paris 12 (UPEC UP12)-Centre National de la Recherche Scientifique (CNRS)
, Webb, Nicholas, P
, Pierre, Caroline
in
Agricultural ecosystems
/ Agricultural management
/ Agricultural production
/ agriculture
/ Air quality
/ Anthropogenic factors
/ Assessments
/ Biogeochemical cycles
/ Change detection
/ drylands
/ Dust
/ Dust cycle
/ Dust emission
/ Ecology, environment
/ Emission analysis
/ Emissions
/ Environmental changes
/ Environmental impact
/ Eolian processes
/ Erosion
/ Human influences
/ Land cover
/ land cover change
/ Land management
/ Land use
/ Land use management
/ Life Sciences
/ Model accuracy
/ Soil erosion
/ Wind erosion
2018
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Journal Article
Quantifying Anthropogenic Dust Emissions
2018
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Overview
Anthropogenic land use and land cover change, including local environmental disturbances, moderate rates of wind-driven soil erosion and dust emission. These human-dust cycle interactions impact ecosystems and agricultural production, air quality, human health, biogeochemical cycles, and climate. While the impacts of land use activities and land management on aeolian processes can be profound, the interactions are often complex and assessments of anthropogenic dust loads at all scales remain highly uncertain. Here, we critically review the drivers of anthropogenic dust emission and current evaluation approaches. We then identify and describe opportunities to: (1) develop new conceptual frameworks and interdisciplinary approaches that draw on ecological state-and-transition models to improve the accuracy and relevance of assessments of anthropogenic dust emissions; (2) improve model fidelity and capacity for change detection to quantify anthropogenic impacts on aeolian processes; and (3) enhance field research and monitoring networks to support dust model applications to evaluate the impacts of disturbance processes on local to global-scale wind erosion and dust emissions.
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