Effects of different ammonia emission reduction strategies from livestock farming on ambient ammonia concentrations in nature areas: a series of scenario analyses

Excessive nitrogen deposition is a major problem in nature areas, causing soil acidification and eutrophication, which reduces biodiversity. In the Netherlands, most nitrogen originates from ammonia emissions related to agriculture. This study investigates how various ammonia emission reduction strategies affect spatial patterns of livestock-related ambient ammonia levels, focusing on nature areas near a livestock-dense region. The aim is to provide insights into effects of interventions on environmental exposure levels and efficiency of mitigation strategies. Using dispersion modeling, annual average patterns of ambient ammonia levels were estimated per scenario, considering emissions from approximately 4500 farms. Results indicate that scenarios involving significant reductions in ammonia emissions (54–86 %), achieved through technical or management modifications or farm removal, result in substantial reductions (62–87 %) in ambient ammonia levels within nature areas. Targeted strategies aimed at specific sectors that contribute most to ammonia levels in nature areas achieved relatively modest absolute reductions (8–13 %) but generally higher efficiency compared to more generic approaches. Scenario efficiency, defined as the ratio between emission/concentration reduction, varied considerably from 0.5 to 1.3. This variations underscores the importance of assessing spatial ammonia patterns rather than focusing and relying solely on emission reduction expressed in terms of total mass. The efficiency of reduction strategies depends on the geographical distribution of (sector-specific) farms near nature areas, and emission height from these farms. Therefore, combined strategies explicitly targeting these factors, such as integrating spatially focused measures (e.g., zoning) with generic emission reductions, are expected most effective in reducing ammonia concentrations in nature areas. • Livestock emission reduction scenarios to lower ambient ammonia concentrations. • Scenario-specific ambient ammonia patterns estimated using dispersion modeling. • NH3 levels drop 8–87 % in nature areas, depending on the specific reduction scenario. • Scenario efficiency (0.5–1.3) depends on spatial distribution of farms near nature. • Spatial NH3 patterns offer more insight than reduction of total emission mass alone.

Authors

Institutions

Publication Details

Journal
Atmospheric Environment X
Published
2025-09-18
DOI
https://doi.org/10.1016/j.aeaoa.2025.100370
Citations
1
Primary Topic
Odor and Emission Control Technologies
Type
article
Field-Weighted Citation Impact
0.70
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Effects of different ammonia emission reduction strategies from livestock farming on ambient ammonia concentrations in nature areas: a series of scenario analyses

Wietske Dohmen, Dick Heederik, Hans J. Erbrink, Ceder Raben et al.
1 citations
Atmospheric Environment X
Odor and Emission Control Technologies
0.70
article

Effects of different ammonia emission reduction strategies from livestock farming on ambient ammonia concentrations in nature areas: a series of scenario analyses

Wietske Dohmen, Dick Heederik, Hans J. Erbrink, Ceder Raben, Dolf Van Wijk
article en
1 citations

Abstract

Excessive nitrogen deposition is a major problem in nature areas, causing soil acidification and eutrophication, which reduces biodiversity. In the Netherlands, most nitrogen originates from ammonia emissions related to agriculture. This study investigates how various ammonia emission reduction strategies affect spatial patterns of livestock-related ambient ammonia levels, focusing on nature areas near a livestock-dense region. The aim is to provide insights into effects of interventions on environmental exposure levels and efficiency of mitigation strategies. Using dispersion modeling, annual average patterns of ambient ammonia levels were estimated per scenario, considering emissions from approximately 4500 farms. Results indicate that scenarios involving significant reductions in ammonia emissions (54–86 %), achieved through technical or management modifications or farm removal, result in substantial reductions (62–87 %) in ambient ammonia levels within nature areas. Targeted strategies aimed at specific sectors that contribute most to ammonia levels in nature areas achieved relatively modest absolute reductions (8–13 %) but generally higher efficiency compared to more generic approaches. Scenario efficiency, defined as the ratio between emission/concentration reduction, varied considerably from 0.5 to 1.3. This variations underscores the importance of assessing spatial ammonia patterns rather than focusing and relying solely on emission reduction expressed in terms of total mass. The efficiency of reduction strategies depends on the geographical distribution of (sector-specific) farms near nature areas, and emission height from these farms. Therefore, combined strategies explicitly targeting these factors, such as integrating spatially focused measures (e.g., zoning) with generic emission reductions, are expected most effective in reducing ammonia concentrations in nature areas. • Livestock emission reduction scenarios to lower ambient ammonia concentrations. • Scenario-specific ambient ammonia patterns estimated using dispersion modeling. • NH3 levels drop 8–87 % in nature areas, depending on the specific reduction scenario. • Scenario efficiency (0.5–1.3) depends on spatial distribution of farms near nature. • Spatial NH3 patterns offer more insight than reduction of total emission mass alone.

Atmospheric Environment XVol. 28
Utrecht University (NL)
Openalex Percentile: Top 32%
Odor and Emission Control Technologies
0.70
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.