Do riparian buffer zones and new forest management practices reduce stream suspended sediment loads?: Re‐visiting the Afon Tanllwyth in Hafren Forest, Plynlimon, 20 years on

2020 ◽  
Author(s):  
Tim A. Stott
Keyword(s):  
Forest Management ◽  
Suspended Sediment ◽  
Management Practices ◽  
Riparian Buffer ◽  
Buffer Zones ◽  
Forest Management Practices ◽  
Sediment Loads ◽  
Riparian Buffer Zones ◽  
New Forest

Towards optimizing riparian buffer zones: Ecological and biogeochemical implications for forest management

2014 ◽  
Vol 334 ◽  
pp. 74-84 ◽  
Author(s):  
Lenka Kuglerová ◽  
Anneli Ågren ◽  
Roland Jansson ◽  
Hjalmar Laudon
Keyword(s):  
Forest Management ◽  
Riparian Buffer ◽  
Buffer Zones ◽  
Riparian Buffer Zones

scholarly journals Aboveground stock of biomass and organic carbon in stands of Pinus taeda L.

CERNE ◽  
2013 ◽  
Vol 19 (3) ◽  
pp. 509-515 ◽  
Author(s):  
Luciano Farinha Watzlawick ◽  
Marcos Vinicius Winckler Caldeira ◽  
Tiago de Oliveira Godinho ◽  
Rafaelo Balbinot ◽  
Jonathan William Trautenmüller
Keyword(s):  
Forest Management ◽  
Organic Carbon ◽  
Pinus Taeda ◽  
Management Practices ◽  
Tree Density ◽  
Stem Wood ◽  
Quantification Method ◽  
Forest Management Practices ◽  
Pinus Taeda L ◽  
Age Category

This study aimed to estimate biomass and organic carbon in stands of Pinus taeda L. at different ages (14, 16, 19, 21, 22, 23 and 32 years) and located in the municipality of General Carneiro (PR). In order to estimate biomass and organic carbon in different tree components (needles, live branches, dead branches, bark and stem wood), the destructive quantification method was used in which seven trees from each age category were randomly sampled across the stand. Stocks of biomass and organic carbon were found to vary between the different age categories, mainly as a result of existing dissimilarities between ages in association with forest management practices such as thinning, pruning and tree density per hectare.

scholarly journals Historical Forest Management Practices Influence Tree-Ring Based Climate Reconstructions

2021 ◽  
Vol 9 ◽  
Author(s):  
Georgios Skiadaresis ◽  
Bernhard Muigg ◽  
Willy Tegel
Keyword(s):  
Forest Management ◽  
Tree Ring ◽  
Management Practices ◽  
Growth Patterns ◽  
Climate Control ◽  
Climate Signal ◽  
Forest Management Practices ◽  
Management Interventions ◽  
Climate Reconstructions ◽  
Historical Forest

Tree-ring widths (TRW) of historical and archeological wood provide crucial proxies, frequently used for high-resolution multi-millennial paleoclimate reconstructions. Former growing conditions of the utilized trees, however, are largely unknown. Potential influences of historical forest management practices on climatic information, derived from TRW variability need to be considered but have not been assessed so far. Here, we examined the suitability of TRW series from traditionally managed oak forests (Quercus spp.) for climate reconstructions. We compared the climate signal in TRW chronologies of trees originating from high forests and coppice-with-standards (CWS) forests, a silvicultural management practice widely used in Europe for most of the common era. We expected a less distinct climate control in CWS due to management-induced growth patterns, yet an improved climate-growth relationship with TRW data from conventionally managed high forests. CWS tree rings showed considerably weaker correlations with hydroclimatic variables than non-CWS trees. The greatest potential for hydroclimate reconstructions was found for a large dataset containing both CWS and non-CWS trees, randomly collected from lumber yards, resembling the randomness in sources of historical material. Our results imply that growth patterns induced by management interventions can dampen climate signals in TRW chronologies. However, their impact can be minimized in well replicated, randomly sampled regional chronologies.

Dimensioning of riparian buffer zones in agricultural catchments at national level

2021 ◽  
Author(s):  
Evelyn Uuemaa ◽  
Ain Kull ◽  
Kiira Mõisja ◽  
Hanna-Ingrid Nurm ◽  
Alexander Kmoch
Keyword(s):  
Spatial Resolution ◽  
National Level ◽  
Agricultural Runoff ◽  
Riparian Buffer ◽  
Soil Types ◽  
Buffer Zones ◽  
Slope Length ◽  
Local Flow ◽  
Riparian Buffer Zones ◽  
Buffer Width

<p>Intensive agricultural production interferes with natural cycles of nutrients (mostly nitrogen and phosphorus) and may lead to water quality degradation due to excessive nutrient loadings. To mitigate this effect at the landscape level establishment of buffering vegetated strips is an efficient measure.</p><p>Recommending optimal widths for riparian buffer zones to reduce the agricultural runoff is still a challenging task, in particular when considering the spatial variability of the landscape. Empirical-based approaches include assessment of terrain, soil types, land use and vegetation, and are often realised in computationally expensive hydrological simulation. However, trade-offs have to be made between spatial resolution and areal extent. Another elegant empirical-based approach are nomographs, where via triangulation of a specific slope length, terrain slope and soil type recommended buffer width can be easily calculated. Mander and Kuusemets (1998) already developed such a nomograph for Estonian catchments in 1998, yet, a computational use case has not been explored.</p><p>We implemented the nomograph as a GIS algorithm in Python/QGIS to retrieve the recommended buffer width at national level. We synthesized a specific slope length via a weighted average of flow length, local flow accumulation and LS factor, and then use the specific slope length, slope derived from 5 m spatial resolution DEM and soil texture classes as inputs for the algorithm. We applied this algorithm and calculated recommendable buffer strip widths for the whole of country of Estonia, over an area of approx. 43,000 km<sup>2</sup>. We evaluated the uncertainty of the results as well the algorithm’s sensitivity to input weights.</p><p>The developed algorithm is applicable in any region with relevant adjustments to local soil types. The result directly informs policy making by being able to more specifically decide and explain variations of buffer zone widths along water bodies.</p>

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