Reviewing the Use of Resilience Concepts in Forest Sciences

Nikinmaa, Laura; Lindner, Marcus; Cantarello, Elena; Jump, Alistair S.; Seidl, Rupert; Winkel, Georg; Muys, Bart

doi:10.1007/s40725-020-00110-x

Cited by 128 publications

(99 citation statements)

References 292 publications

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“…On the other hand, these forests are considered relatively resilient, although the term resilience is somewhat hard to define and confusing to many (see e.g. Nikinmaa et al 2020). Nevertheless, northern forests are expected to recover well after short disturbances such as extreme weather events.…”

Section: Discussionmentioning

confidence: 99%

Vegetation, nutrients, and CO<sub>2</sub> flux dynamics in northern boreal forests

Matkala¹

2020

Diss. For.

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Section: Discussionmentioning

confidence: 99%

Vegetation, nutrients, and CO<sub>2</sub> flux dynamics in northern boreal forests

Matkala¹

2020

Diss. For.

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“…A necessary first step in conducting our review was to operationalize our definition of resilience, enabling us to identify relevant studies. Resilience is a frequently used term with an evolving set of definitions (Brand & Jax, 2007; Nikinmaa et al., 2020; Ratajczak et al., 2018). We chose an approach suggested by Carpenter et al.…”

Section: Methodsmentioning

confidence: 99%

“…While many different definitions of resilience exist, the following three are most frequently used in forest ecosystem research (see Nikinmaa et al, 2020). Further considerations of the resilience concept and its definitions can be found in, for example, Wissel (1997), Carpenter et al (2001), Brand and Jax (2007) and Folke (2006).…”

Section: Box 1 Resilience Definitionsmentioning

confidence: 99%

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Simulating forest resilience: A review

Albrich

Rammer

Turner

et al. 2020

Global Ecol. Biogeogr.

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“…Among these, growth stability, resilience, resistance and variability have been used widely (De Keersmaecker et al 2018;Verbesselt et al 2016). Many definitions are given to the mentioned stability concepts (Nikinmaa et al 2020). The rsilience is defined as the recovery rate after a disturbance (Dakos et al 2012).…”

Section: Introductionmentioning

confidence: 99%

Discerning Effects of Climate Variability, Local Land Degradation and Tree Species Diversity on Remote Sensing Derived Resilience and Resistance of Dry Afromontane Forest 

Hishe

Oosterlynck²,

Giday

et al. 2020

Preprint

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Introduction: Anthropogenic disturbances are increasingly affecting the vitality of tropical dry forests. The future condition of this important biome will depend on its capability to resist, and recover from these disturbances. So far, the temporal stability of dryland forests is rarely studied, but could serve as a basis for forest management and restoration. Methodology: In a degraded dry Afromontane forest in northern Ethiopia, we explored remote sensing derived indicators of forest stability, using MODIS satellite derived NDVI time series from 2001 to 2018. Resilience, resistance and variability were measured using the anomalies (remainders) after time series decomposition into seasonality, trend and remainder components. Growth stability was calculated using the integral of the undecomposed NDVI data. These NDVI derived stability indicators were then related to environmental factors of climate, topography, soil, tree species diversity, and disturbance, obtained from a systematic grid of field inventory plots, using boosted regression trees in R. Resilience and resistance were adequately predicted by these factors with an R2 of 0.67 and 0.48, respectively, but the models for variability and growth stability were weaker. Precipitation of the wettest month, distance from settlements and slope were the most important factors associated with resilience, explaining 51% of the effect. Altitude, temperature seasonality and humus accumulation were the significant factors associated with the resistance of the forest, explaining 61% of the overall effect. A positive effect of tree diversity on resilience was also significant, except that the impact of species evenness declined above a threshold value of 0.70, indicating that perfect evenness reduced the resilience of the forest. Conclusion: A combination of climate, topographic variables and disturbance indicators controlled the stability of the dry forest. Tree diversity is an important component that should be considered in the management and restoration programs of such degraded forests. If local disturbances are alleviated the recovery time of dryland forests could be shortened, which is vital to maintain the ecosystem services these forests provide to local communities and global climate change.

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Reviewing the Use of Resilience Concepts in Forest Sciences

Cited by 128 publications

References 292 publications

Vegetation, nutrients, and CO<sub>2</sub> flux dynamics in northern boreal forests

Vegetation, nutrients, and CO<sub>2</sub> flux dynamics in northern boreal forests

Simulating forest resilience: A review

Discerning Effects of Climate Variability, Local Land Degradation and Tree Species Diversity on Remote Sensing Derived Resilience and Resistance of Dry Afromontane Forest

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Reviewing the Use of Resilience Concepts in Forest Sciences

Cited by 128 publications

References 292 publications

Vegetation, nutrients, and CO<sub>2</sub> flux dynamics in northern boreal forests

Vegetation, nutrients, and CO<sub>2</sub> flux dynamics in northern boreal forests

Simulating forest resilience: A review

Discerning Effects of Climate Variability, Local Land Degradation and Tree Species Diversity on Remote Sensing Derived Resilience and Resistance of Dry Afromontane Forest&nbsp;

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Discerning Effects of Climate Variability, Local Land Degradation and Tree Species Diversity on Remote Sensing Derived Resilience and Resistance of Dry Afromontane Forest