A Dendro-Spatial Analysis in Tree Growth Provides Insights into Forest Productivity

2020 ◽  
pp. 247-262
Author(s):  
Marín Pompa-García ◽  
José Manuel Zúñiga-Vásquez ◽  
Eduardo Treviño-Garza
Keyword(s):  
Spatial Analysis ◽  
Tree Growth ◽  
Forest Productivity

scholarly journals Climate change impacts on long‐term forest productivity might be driven by species turnover rather than by changes in tree growth

2020 ◽  
Vol 29 (8) ◽  
pp. 1360-1372 ◽  
Author(s):  
Raúl García‐Valdés ◽  
Alba Estrada ◽  
Regan Early ◽  
Veiko Lehsten ◽  
Xavier Morin
Keyword(s):  
Climate Change ◽  
Tree Growth ◽  
Species Turnover ◽  
Climate Change Impacts ◽  
Forest Productivity

The nature of tree growth and the "age-related decline in forest productivity"

Oikos ◽  
2001 ◽  
Vol 94 (2) ◽  
pp. 374-376 ◽  
Author(s):  
Jacob Weiner ◽  
Sean C. Thomas
Keyword(s):  
Tree Growth ◽  
Forest Productivity ◽  
Age Related

scholarly journals Linking functional traits with tree growth and forest productivity in Quercus ilex forests along a climatic gradient

2021 ◽  
pp. 147468
Author(s):  
Pablo Salazar Zarzosa ◽  
Aurelio Diaz Herraiz ◽  
Manuel Olmo ◽  
Paloma Ruiz-Benito ◽  
Vidal Barrón ◽  
...  
Keyword(s):  
Functional Traits ◽  
Tree Growth ◽  
Quercus Ilex ◽  
Forest Productivity ◽  
Climatic Gradient

scholarly journals The influence of soil properties and nutrients on conifer forest growth in Sweden, and the first steps in developing a nutrient availability metric

2018 ◽  
Vol 15 (11) ◽  
pp. 3475-3496 ◽  
Author(s):  
Kevin Van Sundert ◽  
Joanna A. Horemans ◽  
Johan Stendahl ◽  
Sara Vicca
Keyword(s):  
Soil Properties ◽  
Tree Growth ◽  
Nutrient Availability ◽  
Environmental Changes ◽  
Forest Productivity ◽  
Forest Growth ◽  
International Institute ◽  
Soil Factors ◽  
Potential Productivity ◽  
Soil C

Abstract. The availability of nutrients is one of the factors that regulate terrestrial carbon cycling and modify ecosystem responses to environmental changes. Nonetheless, nutrient availability is often overlooked in climate–carbon cycle studies because it depends on the interplay of various soil factors that would ideally be comprised into metrics applicable at large spatial scales. Such metrics do not currently exist. Here, we use a Swedish forest inventory database that contains soil data and tree growth data for > 2500 forests across Sweden to (i) test which combination of soil factors best explains variation in tree growth, (ii) evaluate an existing metric of constraints on nutrient availability, and (iii) adjust this metric for boreal forest data. With (iii), we thus aimed to provide an adjustable nutrient metric, applicable for Sweden and with potential for elaboration to other regions. While taking into account confounding factors such as climate, N deposition, and soil oxygen availability, our analyses revealed that the soil organic carbon concentration (SOC) and the ratio of soil carbon to nitrogen (C : N) were the most important factors explaining variation in “normalized” (climate-independent) productivity (mean annual volume increment – m3 ha−1 yr−1) across Sweden. Normalized forest productivity was significantly negatively related to the soil C : N ratio (R2 = 0.02–0.13), while SOC exhibited an empirical optimum (R2 = 0.05–0.15). For the metric, we started from a (yet unvalidated) metric for constraints on nutrient availability that was previously developed by the International Institute for Applied Systems Analysis (IIASA – Laxenburg, Austria) for evaluating potential productivity of arable land. This IIASA metric requires information on soil properties that are indicative of nutrient availability (SOC, soil texture, total exchangeable bases – TEB, and pH) and is based on theoretical considerations that are also generally valid for nonagricultural ecosystems. However, the IIASA metric was unrelated to normalized forest productivity across Sweden (R2 = 0.00–0.01) because the soil factors under consideration were not optimally implemented according to the Swedish data, and because the soil C : N ratio was not included. Using two methods (each one based on a different way of normalizing productivity for climate), we adjusted this metric by incorporating soil C : N and modifying the relationship between SOC and nutrient availability in view of the observed relationships across our database. In contrast to the IIASA metric, the adjusted metrics explained some variation in normalized productivity in the database (R2 = 0.03–0.21; depending on the applied method). A test for five manually selected local fertility gradients in our database revealed a significant and stronger relationship between the adjusted metrics and productivity for each of the gradients (R2 = 0.09–0.38). This study thus shows for the first time how nutrient availability metrics can be evaluated and adjusted for a particular ecosystem type, using a large-scale database.

Life after recovery: new insights into post-drought compensatory growth and forest recovery dynamics

2021 ◽  
Author(s):  
Thomas Ovenden ◽  
Michael Perks ◽  
Toni-Kim Clarke ◽  
Maurizio Mencuccini ◽  
Alistair Jump
Keyword(s):  
Tree Growth ◽  
Compensatory Growth ◽  
Forest Productivity ◽  
Temporal Scale ◽  
Extreme Drought ◽  
Forest Recovery ◽  
Response Dynamics ◽  
Individual Tree ◽  
Recovery Dynamics ◽  
The Impact

<p>Large scale losses in forest productivity linked to extreme drought are now being documented globally. With climate change set to increase the frequency, intensity and duration of future extreme events, understanding the impact of drought on forest productivity and the post-drought recovery dynamics of these systems is becoming increasingly important. However, current approaches to quantifying resilience limit our understanding of forest response dynamics, recovery trajectories and drought legacies by constraining and simplifying the temporal scale and resolution of assessment. To advance beyond one of the most commonly used approaches to estimating resilience, we first compared estimates of resilience for Pinus sylvestris trees following an extreme drought by comparing the same resilience index calculated over different pre- and post-drought time scales. We then developed an alternative approach using dynamic regression to capture each individual tree’s relationship between climate and growth, which was then used to forecast tree growth annually for the drought year and nine subsequent years, in a scenario where no drought had occurred. Here we present the results of this work, comparing observed tree growth with growth forecasted using dynamic regression at multiple stem heights and stand densities. This approach allowed us to increase the temporal scale and resolution of resilience assessment and follow tree and stand level growth relative to a no-drought scenario throughout recovery and into a post-recovery phase, where we find evidence for significant compensatory growth. The existence of compensatory growth post-recovery reduced estimates of drought induced losses of radial growth, indicating that current approaches risk underestimating tree and stand resilience to drought and overestimate losses in above-ground biomass. Similarly, we provide evidence for a temporal dependency in the stage during recovery at which pre-drought tree and stand attributes such as growth rates, basal area and stand densities were associated with growth resilience. Our results have wide reaching implications for both forest management targeted at increasing resilience, carbon budgeting and our understanding of drought legacy.</p>

Potential for the use of GIS and spatial analysis techniques as tools for monitoring changes in forest productivity and nutrition, a New Zealand example

1999 ◽  
Vol 122 (1-2) ◽  
pp. 187-196 ◽  
Author(s):  
Tim W Payn ◽  
Reece B Hill ◽  
Barbara K Höck ◽  
Malcolm F Skinner ◽  
Alan J Thorn ◽  
...  
Keyword(s):  
New Zealand ◽  
Spatial Analysis ◽  
Forest Productivity ◽  
Analysis Techniques
Sign in / Sign up

Export Citation Format

Share Document