Climate Adaptation as Organizational Learning: A Grounded Theory Study on Manufacturing Companies in a Bavarian Region

Fischer, Sophie; Keupp, Luzia; Paeth, Heiko; Göhlich, Michael; Schmitt, Jan

doi:10.3390/educsci12010022

Cited by 9 publications

(2 citation statements)

References 50 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The conducted qualitative study of 13 expert interviews with manufacturing companies (Fischer et al 2022) is based on the assumption that the issues of global climate change and climate adaptation are often still complex and abstract for companies outside the primary sector (e.g. example, agricultural sector).…”

Section: Methodology and Initial Findings Of Expert Interviews And Qu...mentioning

confidence: 99%

Climate Adaptation as an Economic Challenge: Finding Business Strategies by Game-based Learning

Fischer

2022

ECGBL

View full text Add to dashboard Cite

Climate adaptation and learning support organizations in dealing with the current and projected consequences of climate change by recognizing challenges as opportunities, ensuring business continuity and increasing their economic efficiency. Here it applies that those actors who deal with their existing framework conditions, opportunities and risks at an early stage, and also have structures or capacities for strategic learning processes, increase their climate resilience and reduce their vulnerability to negative impacts. A cumulative doctoral thesis analyze to what extent companies already have climate-related structures conducive to learning, to what extent they take responsibility in terms of the learning object (climate change), and which elements prove to be limiting here. The results illustrate that intangible resources such as a sense of responsibility, executives positive attitude and common values have a significant influence on the way companies deal with climate change. Based on these findings, a serious game will be developed and its didactic effectiveness reflected critically to raise the climate-related awareness of decision-makers and to enable them to derive their own adaptation measures.

show abstract

Section: Methodology and Initial Findings Of Expert Interviews And Qu...mentioning

confidence: 99%

Climate Adaptation as an Economic Challenge: Finding Business Strategies by Game-based Learning

Fischer

2022

ECGBL

View full text Add to dashboard Cite

show abstract

“…Many forests are increasingly suffering from drought stress due to the changing climatic conditions (Allen et al, 2010). Severe droughts have negatively affected forest stands in Central Europe, also in Lower Franconia, a region in Central Germany, which is very much affected by climate change (Fischer et al, 2022). Despite its great importance, the effects of drought on forests are still not fully understood (Etzold et al, 2014), especially with respect to small-scale heterogeneities in the soil and the resulting water availability (Schuldt et al, 2020;Cholet et al, 2022).…”

Section: Introductionmentioning

confidence: 99%

Multidimensional hydrological modeling of a forested catchment in a German low mountain range using a modular runoff and water balance model

Schäfer¹,

Fäth²,

Kneisel³

et al. 2023

Front. For. Glob. Change

View full text Add to dashboard Cite

Sufficient plant-available water is one of the most important requirements for vital, stable, and well-growing forest stands. In the face of climate change, there are various approaches to derive recommendations considering tree species selection based on plant-available water provided by measurements or simulations. Owing to the small-parcel management of Central European forests as well as small-spatial variation of soil and stand properties, in situ data collection for individual forest stands of large areas is not feasible, considering time and cost effort. This problem can be addressed using physically based modeling, aiming to numerically simulate the water balance. In this study, we parameterized, calibrated, and verified the hydrological multidimensional WaSiM-ETH model to assess the water balance at a spatial resolution of 30 m in a German forested catchment area (136.4 km2) for the period 2000–2021 using selected in situ data, remote sensing products, and total runoff. Based on the model output, drought-sensitive parameters, such as the difference between potential and effective stand transpiration (Tdiff) and the water balance, were deduced from the model, analyzed, and evaluated. Results show that the modeled evapotranspiration (ET) correlated significantly (R2 = 0.80) with the estimated ET using MODIS data (MOD16A2GFv006). Compared with observed daily, monthly, and annual runoff data, the model shows a good performance (R2: 0.70|0.77|0.73; Kling–Gupta efficiency: 0.59|0.62|0.83; volumetric efficiency: 0.52|0.60|0.83). The comparison with in situ data from a forest monitoring plot, established at the end of 2020, indicated good agreement between observed and simulated interception and soil water content. According to our results, WaSiM-ETH is a potential supplement for forest management, owing to its multidimensionality and the ability to model soil water balance for large areas at comparable high spatial resolution. The outputs offer, compared to non-distributed models (like LWF-Brook90), spatial differentiability, which is important for small-scale parceled forests, regarding stand structure and soil properties. Due to the spatial component offered, additional verification possibilities are feasible allowing a reliable and profound verification of the model and its parameterization.

show abstract

Multi-method soil moisture monitoring at two temperate forest stands in Germany

Fäth,

Kneisel

2024

Discov Appl Sci

View full text Add to dashboard Cite

Many forests suffer increased drought stress due to climate change, particularly impacting Central Europe. However, our understanding considering drought stress and resulting tree mortality remains incomplete. For addressing this issue, fine-scale water balance assessment as well as robust and spatially integrating measures on large scales are necessary for forest ecosystem monitoring. The latter is particularly important to provide reliable data sets for verifying remote sensing and hydrological modelling products. Various traditional in-situ methods exist for assessing the water balance in forest ecosystems as for instance measuring the water content or matric potential. However, the spatial limitations of these methods have led to an increased importance of Cosmic Ray Neutron Sensing (CRNS) in the last two decades whose measuring signal is integrated over a larger area. We equipped two forest monitoring plots with ECH2O probes, Tensiomark soil systems, and installed a CRNS station at one site to measure soil water content and matric potential at different soil depths and distances to trees from November 2020 till November 2023. The results indicate distinct temporal and spatial variations influenced by meteorological conditions and soil properties, but also forest characteristics. The year 2022 is identified as exceptionally dry, causing high drought stress at one of the forest sites. The comparison between CRNS and traditional methods reveals a strong correlation, highlighting CRNS' potential in forest monitoring as a promising tool for an area wide assessment of water availability in forest ecosystems. Our study further advocates for the need of tree species-specific thresholds to assess matric potential in relation to drought stress in order to better assess the impact of climate change on our forest ecosystems.

show abstract

Climate Adaptation as Organizational Learning: A Grounded Theory Study on Manufacturing Companies in a Bavarian Region

Cited by 9 publications

References 50 publications

Climate Adaptation as an Economic Challenge: Finding Business Strategies by Game-based Learning

Climate Adaptation as an Economic Challenge: Finding Business Strategies by Game-based Learning

Multidimensional hydrological modeling of a forested catchment in a German low mountain range using a modular runoff and water balance model

Multi-method soil moisture monitoring at two temperate forest stands in Germany

Contact Info

Product

Resources

About