Current plant ecological features reflect historical forest management systems in semi-arid oak forests

2021 ◽  
Vol 167 ◽  
pp. 106268
Author(s):  
Mehdi Heydari ◽  
Sina Attar Roshan ◽  
Reza Omidipour ◽  
Manuel Esteban Lucas-Borja ◽  
Bernard Prévosto
Ecosystems ◽  
2021 ◽  
Author(s):  
Laura Marqués ◽  
Drew M. P. Peltier ◽  
J. Julio Camarero ◽  
Miguel A. Zavala ◽  
Jaime Madrigal-González ◽  
...  

AbstractLegacies of past climate conditions and historical management govern forest productivity and tree growth. Understanding how these processes interact and the timescales over which they influence tree growth is critical to assess forest vulnerability to climate change. Yet, few studies address this issue, likely because integrated long-term records of both growth and forest management are uncommon. We applied the stochastic antecedent modelling (SAM) framework to annual tree-ring widths from mixed forests to recover the ecological memory of tree growth. We quantified the effects of antecedent temperature and precipitation up to 4 years preceding the year of ring formation and integrated management effects with records of harvesting intensity from historical forest management archives. The SAM approach uncovered important time periods most influential to growth, typically the warmer and drier months or seasons, but variation among species and sites emerged. Silver fir responded primarily to past climate conditions (25–50 months prior to the year of ring formation), while European beech and Scots pine responded mostly to climate conditions during the year of ring formation and the previous year, although these responses varied among sites. Past management and climate interacted in such a way that harvesting promoted growth in young silver fir under wet and warm conditions and in old European beech under drier and cooler conditions. Our study shows that the ecological memory associated with climate legacies and historical forest management is species-specific and context-dependent, suggesting that both aspects are needed to properly evaluate forest functioning under climate change.


2015 ◽  
Vol 34 (4) ◽  
pp. 380-405 ◽  
Author(s):  
Musingo T. E. Mbuvi ◽  
Josephine K. Musyoki ◽  
Paul O. Ongugo

2021 ◽  
Vol 494 ◽  
pp. 119360
Author(s):  
Mehdi Heydari ◽  
Sina Attar Roshan ◽  
Manuel Esteban Lucas-Borja ◽  
Reza Omidipour ◽  
Bernard Prévosto

2021 ◽  
Vol 9 ◽  
Author(s):  
Georgios Skiadaresis ◽  
Bernhard Muigg ◽  
Willy Tegel

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.


2019 ◽  
Vol 11 (2) ◽  
pp. 318-318
Author(s):  
Mehdi Heydari ◽  
Fatemeh Aazami ◽  
Marzban Faramarzi ◽  
Reza Omidipour ◽  
Masoud Bazgir ◽  
...  

2016 ◽  
Vol 37 (4) ◽  
pp. 1845
Author(s):  
Antônia Arleudina Barros de Melo ◽  
Gustavo Souza Valladares ◽  
Marcos Bacis Ceddia ◽  
Marcos Gervasio Pereira ◽  
Ismail Soares

Spatial distribution of organic carbon and humic substances in irrigated soils under different management systems in a semi-arid zone in Ceará, Brazil Knowledge of the spatial variability in soil properties can contribute to effective use and management. This study was conducted to evaluate the spatial distribution of the levels of total organic carbon (TOC) and humic substances (humic acid (C-FAH), fulvic acid fraction (C-FAF), and humin fraction (C-HUM)) in an Ultisol under different land uses, located in the irrigated perimeter of Baixo Acaraú-CE, transition to semiarid Ceará. The distribution and spatial dependence of the humic fractions were evaluated using descriptive statistics, including semivariogram analysis and data interpolation (kriging). The TOC showed a pure nugget effect, whereas the other fractions showed moderate spatial dependence. Forested and banana cultivation areas showed similar distributions of C-FAH and C-FAF, due to the high input of organic matter (leaves and pseudostems) in the area of banana cultivation and the absence of soil disturbance in the forested area. Data interpolation (kriging) and mapping were useful tools to assess the distribution and spatial dependence of soil attributes.


10.12737/6276 ◽  
2014 ◽  
Vol 4 (3) ◽  
pp. 117-129
Author(s):  
Хлюстов ◽  
Vitaliy Khlyustov ◽  
Мусиевский ◽  
Aleksandr Musievskiy

Analysis of the dynamics of the forest fund of the region has shown that coppice oak forests in Voronezh region now grow in the area of 94.7 thousand ha (27.8 %), occupying a domi-nant position. For their assessment experts of forest management use Bonitation scale of Or-lov M.M. for coppice stands, as well as tables of growth progress (TGP), created by Dudarev A.D., having also site class basis, which is in fact conditional one. A result of research ob-tained forestry typological scales model of dy-namics of average age and height classes of heights on TGP (TG) of coppice oak forests of Voronezh region, which allowed multivariate regression to differentiate the ecological niche of their growth.


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