Coupled water-carbon modelling in data-limited sites: a new approach to explore future agroforestry scenarios DOI Creative Commons
Salim Goudarzi, Chris Soulsby, Jo Smith

et al.

Published: July 31, 2024

Abstract. Agroforestry is considered an important strategy for mitigating against, and adapting to, climate change. Questions yet remain regarding the potential impacts of different tree species on water/carbon cycling at locations, scales under climatic conditions. There urgent need numerical models capable quantifying agroforestry a host ecosystem services including carbon sequestration soil water/river flow regulation. A key challenge in modelling systems that they depend heavily moisture as main driver many biogeochemical processes. Soil itself highly variable with properties (and therefore location) but also depth. Given target sites are often ungauged, location-specific must inevitably rely only data available from satellites and/or nearby weather stations which do not typically cover subsurface, i.e., there incommensurability between data-availability system complexity. To overcome this, we propose RSEEP, new ecohydrological model requires rainfall, evapotranspiration, surface its calibration. We demonstrate RSEEP’s capability water site Scotland where observations depths vegetation types. then couple RSEEP to well-known RothC (i) test RothC’s sensitivity method, (ii) simulate water-carbon dynamics three silvo-pastoral (all 400 stems/ha density) Scotland; these are: evergreen conifer (Scots Pine), deciduous (Hybrid Larch), broadleaf (Sycamore) trees. find more accurate accounting methods can significantly overestimate stocks. Under current future pathway (RCP6.0), 40 years after planting trees, above+below ground storage be 2–5 times (100–250 t/ha) higher silvo-pasture than pasture depending species, Larch having highest Sycamore lowest. exhibits preserving drier conditions, Pine shows river regulation both wet dry conditions our site. The choice should made site-specifically based service management priorities/objectives. Examining scenarios drought- flood-relevant logical next step.

Language: Английский

Salmonid Biomass in Streams Around the World: A Quantitative Synthesis DOI Creative Commons
Kyleisha J. Foote, James W. A. Grant, Pascale M. Biron

et al.

Fish and Fisheries, Journal Year: 2025, Volume and Issue: unknown

Published: Feb. 16, 2025

ABSTRACT Salmonid fishes are one of the best studied fish taxa, but little is known about their biomass distribution. We created a dataset using published material for over 1000 rivers with estimated salmonid biomass, covering 27 countries, and 11 species. The distribution production across streams was skewed to right mean 5.2 g/m 2 (range = 0–70.3 ) 6.3 /year 0.03–50.2 /year), respectively. top 10% 1% in world had > 11.9 36.5 , respectively, 13.9 25.6 /year, positively correlated ( r 0.82, n 194), (P/B) ratio 1.08, which differed among Mean declined 38% time, from 8.6 before 1980 5.4 2000–2020. Biomass also higher small (< 10 m wide) where smaller areas were sampled. Brown trout Salmo trutta represented proportion those than many other In addition variables mentioned above, affected by species, season, method sampling, elevation, latitude, migratory strategy. Expanding list would be useful developing models predict conditions an outstanding stream, defined as stream has estimate worldwide.

Language: Английский

Citations

0
Coupled water-carbon modelling in data-limited sites: a new approach to explore future agroforestry scenarios DOI Creative Commons
Salim Goudarzi, Chris Soulsby, Jo Smith

et al.

Published: July 31, 2024

Abstract. Agroforestry is considered an important strategy for mitigating against, and adapting to, climate change. Questions yet remain regarding the potential impacts of different tree species on water/carbon cycling at locations, scales under climatic conditions. There urgent need numerical models capable quantifying agroforestry a host ecosystem services including carbon sequestration soil water/river flow regulation. A key challenge in modelling systems that they depend heavily moisture as main driver many biogeochemical processes. Soil itself highly variable with properties (and therefore location) but also depth. Given target sites are often ungauged, location-specific must inevitably rely only data available from satellites and/or nearby weather stations which do not typically cover subsurface, i.e., there incommensurability between data-availability system complexity. To overcome this, we propose RSEEP, new ecohydrological model requires rainfall, evapotranspiration, surface its calibration. We demonstrate RSEEP’s capability water site Scotland where observations depths vegetation types. then couple RSEEP to well-known RothC (i) test RothC’s sensitivity method, (ii) simulate water-carbon dynamics three silvo-pastoral (all 400 stems/ha density) Scotland; these are: evergreen conifer (Scots Pine), deciduous (Hybrid Larch), broadleaf (Sycamore) trees. find more accurate accounting methods can significantly overestimate stocks. Under current future pathway (RCP6.0), 40 years after planting trees, above+below ground storage be 2–5 times (100–250 t/ha) higher silvo-pasture than pasture depending species, Larch having highest Sycamore lowest. exhibits preserving drier conditions, Pine shows river regulation both wet dry conditions our site. The choice should made site-specifically based service management priorities/objectives. Examining scenarios drought- flood-relevant logical next step.

Language: Английский

Citations

0