Golo Stadelmann

Dr. Golo Stadelmann

orcid

Research Focus & Metrics

Academic Career Length

16Years (2011-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 October 2013 in Forest Ecology and Management
Verified
Journal Article
Closed access
GSGolo Stadelmann
Golo Stadelmann
HBHarald Bugmann
Harald Bugmann
FMFranz Meier
Franz Meier
BWBeat Wermelinger
Beat Wermelinger
CBChristof Bigler
Christof Bigler

1 April 2014 in Forest Ecology and Management
Verified
Journal Article
Closed access
GSGolo Stadelmann
Golo Stadelmann
HBHarald Bugmann
Harald Bugmann
BWBeat Wermelinger
Beat Wermelinger
CBChristof Bigler
Christof Bigler

3 May 2013 in Ecography
Verified
Journal Article
Closed access
PDF file
GSGolo Stadelmann
Golo Stadelmann
HBHarald Bugmann
Harald Bugmann
BWBeat Wermelinger
Beat Wermelinger
FMFranz Meier
Franz Meier
CBChristof Bigler
Christof Bigler

19 August 2021 in Ecology and Evolution
Verified
Journal Article
Open access
PDF file
YKYannek Käber
Yannek Käber
PMPeter Meyer
Peter Meyer
JSJonas Stillhard
Jonas Stillhard
ELEmiel De Lombaerde
Emiel De Lombaerde
JZJürgen Zell
Jürgen Zell
CBChristof Bigler
Christof Bigler
Tree regeneration is a key process for long‐term forest dynamics, determining changes in species composition and shaping successional trajectories. While tree regeneration is a highly stochastic process, tree regeneration studies often cover narrow environmental gradients only, focusing on specific forest types or species in distinct regions. Thus, the larger‐scale effects of temperature, water availability, and stand structure on tree regeneration are poorly understood. We investigated these effects in respect of tree recruitment (in‐growth) along wide environmental gradients using forest inventory data from Flanders (Belgium), northwestern Germany, and Switzerland covering more than 40 tree species. We employed generalized linear mixed models to capture the abundance of tree recruitment in response to basal area, stem density, shade casting ability of a forest stand as well as site‐specific degree‐day sum (temperature), water balance, and plant‐available water holding capacity. We grouped tree species to facilitate comparisons between species with different levels of tolerance to shade and drought. Basal area and shade casting ability of the overstory had generally a negative impact on tree recruitment, but the effects differed between levels of shade tolerance of tree recruitment in all study regions. Recruitment rates of very shade‐tolerant species were positively affected by shade casting ability. Stem density and summer warmth (degree‐day sum) had similar effects on all tree species and successional strategies. Water‐related variables revealed a high degree of uncertainty and did not allow for general conclusions. All variables had similar effects independent of the varying diameter thresholds for tree recruitment in the different data sets. Synthesis:Shade tolerance and stand structure are the main drivers of tree recruitment along wide environmental gradients in temperate forests. Higher temperature generally increases tree recruitment rates, but the role of water relations and drought tolerance remains uncertain for tree recruitment on cross‐regional scales.

26 April 2020 in Forest Ecosystems
Verified
Journal Article
Open access
PDF file
CTChristian Temperli
Christian Temperli
CBClemens Blattert
Clemens Blattert
GSGolo Stadelmann
Golo Stadelmann
UBUrs-Beat Brändli
Urs-Beat Brändli
ETEsther Thürig
Esther Thürig
Background: Scenario analyses that evaluate management effects on the long-term provision and sustainability of forest ecosystem services and biodiversity (ESB) also need to account for disturbances. The objectives of this study were to reveal potential trade-offs and synergies between ESB provision and disturbance predisposition at the scale of a whole country. Methods: The empirical scenario model MASSIMO was used to simulate forest development and management from years 2016 to 2106 on 5086 sample plots of the Swiss National Forest Inventory (NFI). We included a business-as-usual (BAU) scenario and four scenarios of increased timber harvesting. Model output was evaluated with indicators for 1) ESB provision including a) timber production, b) old-growth forest characteristics as biodiversity proxies and c) protection against rockfall and avalanches and 2) for a) storm and b) bark beetle predisposition. Results: The predisposition indicators corresponded well (AUC: 0.71–0.86) to storm and insect (mostly bark beetle) damage observations in logistic regression models. Increased timber production was generally accompanied with decreased predisposition (storm: >−11%, beetle: >−37%, depending on region and scenario), except for a scenario that promoted conifers where beetle predisposition increased (e.g. + 61% in the Southern Alps). Decreased disturbance predisposition and decreases in old-growth forest indicators in scenarios of increased timber production revealed a trade-off situation. In contrast, growing stock increased under BAU management along with a reduction in conifer proportions, resulting in a reduction of beetle predisposition that in turn was accompanied by increasing old-growth forest indicators. Disturbance predisposition was elevated in NFI plots with high avalanche and rockfall protection value. Conclusions: By evaluating ESB and disturbance predisposition based on single-tree data at a national scale we bridged a gap between detailed, stand-scale assessments and broader inventory-based approaches at the national scale. We discuss the limitations of the indicator framework and advocate for future amendments that include climate-sensitive forest development and disturbance modelling to strengthen decision making in national forest policy making.

1 February 2019 in Forest Ecology and Management
Verified
Journal Article
Closed access
JZJürgen Zell
Jürgen Zell
BRBrigitte Rohner
Brigitte Rohner
ETEsther Thürig
Esther Thürig
GSGolo Stadelmann
Golo Stadelmann