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A presentation-style graphic titled “Natural capital approaches to decision-making for collaborative landscape governance,” authored by Jayne Glass, Kerry Waylen, Mark Reed, Leo Peskett, and Brady Stevens. The background is a soft gradient blending green and brown tones.

On the left, a map of the United Kingdom highlights several project locations with labels, including the Spey Catchment Initiative in Scotland, LENS Scottish Borders, North Pennines National Landscape, Eden Catchment Partnership, LENS Cumbria, Galloway Glens Landscape Partnership, and the South Downs People and Nature Network in southern England.

On the right, six small photographs labeled i to vi show examples of landscapes studied. These include rolling green hills, farmland, a small stream running through a valley, open countryside with stone walls, a walking path across hills, and a shallow river bordered by trees.

A caption below the images reads: “Representative photographs of the studied landscapes.” The Wet Horizons logo appears in the bottom right corner.

A presentation-style graphic titled “Natural capital approaches to decision-making for collaborative landscape governance,” authored by Jayne Glass, Kerry Waylen, Mark Reed, Leo Peskett, and Brady Stevens. The background is a soft gradient blending green and brown tones. On the left, a map of the United Kingdom highlights several project locations with labels, including the Spey Catchment Initiative in Scotland, LENS Scottish Borders, North Pennines National Landscape, Eden Catchment Partnership, LENS Cumbria, Galloway Glens Landscape Partnership, and the South Downs People and Nature Network in southern England. On the right, six small photographs labeled i to vi show examples of landscapes studied. These include rolling green hills, farmland, a small stream running through a valley, open countryside with stone walls, a walking path across hills, and a shallow river bordered by trees. A caption below the images reads: “Representative photographs of the studied landscapes.” The Wet Horizons logo appears in the bottom right corner.

Working together for nature starts with understanding its value.

#Publicaton alert! 📕🧪🌎

Systematically describing natural assets and their benefits can help connect different priorities, attract funding, and strengthen collaboration for landscape governance.

www.sciencedirect.com/science/arti...

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Scientific slide titled “Exploring temporal and spatial variation of nitrous oxide flux using several years of peatland forest automatic chamber data.” Below the title are photos showing different types of vegetation inside measurement chambers and a schematic map illustrating chamber positioning in a peatland forest, including high- and low-flux chambers, trees, a ditch, and a measurement cabin, with Wet Horizons branding.

Scientific slide titled “Exploring temporal and spatial variation of nitrous oxide flux using several years of peatland forest automatic chamber data.” Below the title are photos showing different types of vegetation inside measurement chambers and a schematic map illustrating chamber positioning in a peatland forest, including high- and low-flux chambers, trees, a ditch, and a measurement cabin, with Wet Horizons branding.

N₂O emissions are highly sensitive to weather conditions, so they are likely to change as extreme events, such as droughts, increase under climate change.

#Publicaton alert! 📕🧪

Read more here
zenodo.org/records/1687...

#wetlands #NitrousOxide

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A research graphic titled “Air temperature and precipitation constraining the modelled wetland methane emissions in a boreal region in northern Europe.” Below the title and list of authors is a line graph showing monthly methane emissions (CH₄) in Fennoscandia. Multiple colored lines represent different ecosystem models, all peaking in summer (June–August) and dropping close to zero in winter. A short note on the right reads: “Seasonal cycle of methane emissions in Fennoscandia according to ecosystem models.” The WET HORIZONS logo appears at the bottom.

A research graphic titled “Air temperature and precipitation constraining the modelled wetland methane emissions in a boreal region in northern Europe.” Below the title and list of authors is a line graph showing monthly methane emissions (CH₄) in Fennoscandia. Multiple colored lines represent different ecosystem models, all peaking in summer (June–August) and dropping close to zero in winter. A short note on the right reads: “Seasonal cycle of methane emissions in Fennoscandia according to ecosystem models.” The WET HORIZONS logo appears at the bottom.

How do climate drivers like air temperature and rainfall shape methane (CH₄) emissions in Fennoscandia wetland s? 🌍

New #publicaton alert! 📕

Read all about it here!
zenodo.org/records/1687...

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Illustrated infographic titled “Harnessing the Low-Hanging Fruits: Rewetting Unmanaged Marginal Organic Soils to Achieve Maximal Greenhouse Gas Reduction.” Authors: Haonan Guo, Shihao Cui, Claudia Kalla Nielsen, Lin Tang, Lorenzo Pugliese, and Shubiao Wu. The graphic shows a curved strip of agricultural peatlands with land uses progressing left to right: unmanaged wetlands (dense vegetation), grassland with grazing cows, grassland harvest, and cropland (corn field with tractor). A green arrow on the left indicates high GHG reduction potential and says “Prioritize,” while a red arrow on the right indicates management intensity and says “Postpone.” Caption below: “Where to prioritize for rewetting?” The WET HORIZONS logo is at the bottom right.

Illustrated infographic titled “Harnessing the Low-Hanging Fruits: Rewetting Unmanaged Marginal Organic Soils to Achieve Maximal Greenhouse Gas Reduction.” Authors: Haonan Guo, Shihao Cui, Claudia Kalla Nielsen, Lin Tang, Lorenzo Pugliese, and Shubiao Wu. The graphic shows a curved strip of agricultural peatlands with land uses progressing left to right: unmanaged wetlands (dense vegetation), grassland with grazing cows, grassland harvest, and cropland (corn field with tractor). A green arrow on the left indicates high GHG reduction potential and says “Prioritize,” while a red arrow on the right indicates management intensity and says “Postpone.” Caption below: “Where to prioritize for rewetting?” The WET HORIZONS logo is at the bottom right.

Figure with two panels:

(a) Bar chart of total greenhouse gas (GHG) emissions (mg CO₂-eq m⁻² d⁻¹) for Grass-cut, Grass-graze, Arable, and Unmanaged soils at depths −8 cm, 0 cm, and +8 cm. Bars show CO₂ (red) and CH₄ (blue). Emissions are highest at −8 cm, lower at 0 cm, and lowest at +8 cm.

(b) Box plot of GHG reductions (mg CO₂-eq m⁻² d⁻¹) comparing 0 cm and +8 cm depths across land uses. Positive reductions at +8 cm, strongest under unmanaged soils, weaker under arable and grass systems.

Greenhouse gas emissions and reductions in CO2 equivalents. (a) Total greenhouse gas emissions illustrating the overall climate impact. (b) Greenhouse gas reductions in rewetted treatments (0 and 8 cm) compared to drained treatments (−8 cm). Error bars represent means ± 95% confidence interval (n = 9 for total emissions; n = 3 for reductions). Statistically significant differences between land-use types and water-level treatments, analyzed using linear mixed-effect models, are denoted as follows: *P < 0.05, **P < 0.01, and ****P < 0.0001.

Figure with two panels: (a) Bar chart of total greenhouse gas (GHG) emissions (mg CO₂-eq m⁻² d⁻¹) for Grass-cut, Grass-graze, Arable, and Unmanaged soils at depths −8 cm, 0 cm, and +8 cm. Bars show CO₂ (red) and CH₄ (blue). Emissions are highest at −8 cm, lower at 0 cm, and lowest at +8 cm. (b) Box plot of GHG reductions (mg CO₂-eq m⁻² d⁻¹) comparing 0 cm and +8 cm depths across land uses. Positive reductions at +8 cm, strongest under unmanaged soils, weaker under arable and grass systems. Greenhouse gas emissions and reductions in CO2 equivalents. (a) Total greenhouse gas emissions illustrating the overall climate impact. (b) Greenhouse gas reductions in rewetted treatments (0 and 8 cm) compared to drained treatments (−8 cm). Error bars represent means ± 95% confidence interval (n = 9 for total emissions; n = 3 for reductions). Statistically significant differences between land-use types and water-level treatments, analyzed using linear mixed-effect models, are denoted as follows: *P < 0.05, **P < 0.01, and ****P < 0.0001.

Figure with four panels:

(a) Line plot of cumulative CO₂ emissions vs. incubation time (days). CO₂ rises over time, highest at −8 cm depth, lowest at +8 cm.

(b) Line plot of cumulative CH₄ emissions vs. incubation time. CH₄ is lower overall, variable under grass-graze and grass-cut, again depth-dependent.

(c) Box plot of cumulative CO₂ emissions by land use (Grass-cut, Grass-graze, Arable, Unmanaged). −8 cm depth shows highest emissions, +8 cm lowest.

(d) Box plot of cumulative CH₄ emissions by land use. Patterns similar but values smaller and more variable.


Greenhouse gas emissions during incubation. (a, b) Cumulative CO2 and CH4 emissions. The shaded area represents means ± 95% confidence interval of three replicates. (c, d) Statistical analysis of the cumulative CO2 and CH4 emissions. White dots in the middle represent the mean of the maximum cumulative emission observed for each core within the same land use-water level combination (n = 9). Boxes span means ± SE, with whiskers extending to means ± 95% confidence interval. Statistically significant differences between land-use types and water-level treatments, analyzed using mixed-effect models, are indicated above the panel and adjacent to the legend, respectively: *P < 0.05, ****P < 0.0001

Figure with four panels: (a) Line plot of cumulative CO₂ emissions vs. incubation time (days). CO₂ rises over time, highest at −8 cm depth, lowest at +8 cm. (b) Line plot of cumulative CH₄ emissions vs. incubation time. CH₄ is lower overall, variable under grass-graze and grass-cut, again depth-dependent. (c) Box plot of cumulative CO₂ emissions by land use (Grass-cut, Grass-graze, Arable, Unmanaged). −8 cm depth shows highest emissions, +8 cm lowest. (d) Box plot of cumulative CH₄ emissions by land use. Patterns similar but values smaller and more variable. Greenhouse gas emissions during incubation. (a, b) Cumulative CO2 and CH4 emissions. The shaded area represents means ± 95% confidence interval of three replicates. (c, d) Statistical analysis of the cumulative CO2 and CH4 emissions. White dots in the middle represent the mean of the maximum cumulative emission observed for each core within the same land use-water level combination (n = 9). Boxes span means ± SE, with whiskers extending to means ± 95% confidence interval. Statistically significant differences between land-use types and water-level treatments, analyzed using mixed-effect models, are indicated above the panel and adjacent to the legend, respectively: *P < 0.05, ****P < 0.0001

Which peatlands should we rewet to achieve the greatest climate benefit while minimizing conflicts with agriculture?

New #publicaton alert! 📕

Harnessing the Low-Hanging Fruits: Rewetting Unmanaged Marginal Organic Soils to Achieve Maximal Greenhouse Gas Reduction

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Frontiers | Sense of neighborhood belonging and health: geographic, racial, and socioeconomic variation in Wisconsin BackgroundIndividuals’ sense of belonging (SoB) to their neighborhood is an understudied psychosocial factor that may influence the association between neigh...

❗❗ New #publicaton in Frontiers in Public Health from CDHA affiliates Joseph Clark, Amy Schultz & , @michalengelman.bsky.social
➡️"Sense of neighborhood belonging and health: geographic, racial, and socioeconomic variation in Wisconsin" doi.org/10.3389/fpub...

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