Curvilinear relationships between total pre-coppicing stem biomass and total resprout biomass.

Curvilinear relationships between total pre-coppicing stem biomass and total resprout biomass.

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In frequently burned ecosystems, many plants persist by repeated resprouting from basal or belowground buds. This strategy requires that plants reach a balance between biomass loss and recovery, which depends on the shape of the relationship between pre- and post-fire size. Previous analyses of this relationship, however, have focused on the size o...

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... In ecological research, coppicing (also referred to as 'clipping') is used experimentally to simulate disturbance regimes such as herbivory, fire and wind throw and is considered an anthropogenic analogue for these naturally occurring disturbances (e.g. Borzak et al., 2016;Fornara & Du Toit, 2008;Hmielowski et al., 2014;Ickes et al., 2003;Nzunda et al., 2008;Schafer & Just, 2014;. Managing naturalistic woody plantings with coppicing may also be a low maintenance analogue for the mowing management of herbaceous meadows (Kingsbury, 2004). ...
... and recovers vegetatively-resprouter (Bell et al., 1996;Schafer & Just, 2014). The continuous definition was found more broadly across disturbance regimes of lower severity including more types such as herbivory, wind damage, forest clearing and avalanche. ...
... Coppicing can act similar to fire and mowing by removing most of the above-ground shoots and promoting a resprouting response (Schafer & Just, 2014 Mediterranean-type and Arid zones (Busch & Smith, 1993;Chong et al., 2007;Reyes et al., 2009;Sugden et al., 1985;Vanderlei et al., 2021). Low maintenance design and management of urban plantings can be informed by the continuum of resprouting responses. ...
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Naturalistic plantings, such as meadow‐style plantings, can improve the quality of urban green spaces through aesthetic, biodiversity and low maintenance features. Species selection for, and maintenance of naturalistic plantings are key to their success. While herbaceous and grassy meadows can be mowed, naturalistic plantings with woody plants require more intense maintenance to remove biomass and promote resprouting. We aim to understand woody plant responses to diverse disturbance regimes to potentially inform the selection and management of woody species in urban plantings. We conducted a quantitative systematic literature review of 72 papers and investigated what main external (climate, disturbance regime) and internal (buds, life stage, storage reserves) factors influence the resprouting response of woody plants. We found resprouting literature is geographically widespread for woody plants, but studies are skewed towards Temperate climates in USA and Australia, with a focus on high severity and high frequency fire disturbance. Resprouting response was mostly defined as a continuous response to disturbance dependent on disturbance regime, climate and plant traits. Maintenance and management of naturalistic woody plantings, through hard pruning techniques such as coppicing, may be informed by analogous high severity and high frequency disturbance studies. However, the literature on woody plant resprouting has several knowledge gaps for lower severity and lower frequency disturbance regimes and in more arid climates. Future research should evaluate the response of naturalistic woody plantings to disturbance in specific urban contexts.
... Secondly, it is possible that the higher regrowth rates in repeat burns is a product of the initial tree height. Previous work has shown that pre-disturbance tree size is a strong predictor of resprout size [17,[41][42][43], because bigger trees have more root carbohydrate reserves [44] or root depth and surface area [45]. As there is a higher probability of having more coppicing trees that were initially tall in repeat burns than in single burns, it is reasonable to expect more compensatory growth on average in repeat burns than in single burns. ...
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... Escape height has been reported for tree populations in several mesic savannas (e.g. Bond et al., 2012;Freeman et al., 2017;Nguyen et al., 2019;Pilon & Durigan, 2017;Prior et al., 2010;Schafer & Just, 2014;Werner, 2012;Werner & Franklin, 2010). The term 'resistance height' used in this paper is equivalent to the term 'escape height' used in some papers (Balfour & Midgley, 2006;Bond et al., 2012). ...
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... The larger the size of the tree prior to topkill, the greater the potential access to resources to drive resprouting and stem growth. It has in fact been well established that growth following resprouting is positively correlated with pre-disturbance stem size (Grady & Hoffmann, 2012;Holdo, 2006b;Schafer & Just, 2014) and that this relationship can hold vegetation in a persistent, stable fire trap (Grady & Hoffman, 2012). It is unclear, however, how post-disturbance growth rates and their dependence on pre-disturbance size vary across species and the consequences of this interspecific variation for escape. ...
... We show that there is considerable variation in growth following resprouting: our estimates project an almost five-fold difference in the expected time needed to recover pre-disturbance size (starting from a pre-disturbance basal area of 20 cm 2 ) between the slowest and fastest grower. Supporting previous work (Bonfil et al. 2004;Grady & Hoffmann, 2012;Schafer & Just, 2014), we found a strong dependence of post-disturbance growth on pre-disturbance size (even two years after the original disturbance event), but there was no evidence for variation in the magnitude of this dependence across species. Fast-growing species might be expected to exhibit a stronger relationship with predisturbance size than slow-growing species, for example, assuming that fast-growing species are more likely to invest in growth and escape from future disturbances rather than in storage and the ability to tolerate disturbance. ...
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Vegetation states in savannas are highly sensitive to tree growth rates, which determine whether individual trees can “escape” periodic disturbances. Resprouting trees have lopsided shoot:root ratios and are often multi‐stemmed, and these variables can modify post‐disturbance growth rates and therefore the probability of escape. To date, few studies have systematically examined the implications of interspecific variation in these factors for escape. We conducted a two‐year field experiment across 16 tree species in a South African lowveld savanna to quantify growth metrics following topkill. We examined the dependence of growth on pre‐disturbance stem size and the relationship between growth rate and the tendency of trees to produce a few large vs. many small resprouts following disturbance. We found that resprout growth was strongly influenced by pre‐disturbance size, but the strength of this relationship did not vary across species. In contrast, our results showed that fast‐growing species tended to allocate resources toward a few dominant stems, while slow‐growing species allocated new biomass towards many smaller stems. Tree species that produced a few large stems also tended to produce individual stems that were tall and thin, further suggesting that the “few large vs. many small” axis is linked to intrinsic species attributes. These findings have implications for understanding how interspecific variation in savanna tree communities may influence their ability to escape disturbance traps.
... For each of the 290 located individuals, we recorded the sex and maximum stem height (cm). We did not include number of stems in the current analyses as maximum stem height has been shown to be sufficient for characterizing growth in this system (Schafer and Just 2014). As L. subcoriacea exhibits limited clonality, we defined an individual as all stems separated by \ 0.5 m. ...
... A previous study of resprouting shrubs across wetland ecotones on Fort Bragg indicated that small-sized individuals recovered most or all of their pre-burn size 1-year post-fire (Grady and Hoffmann 2012), but the pre-burn measurement collection in that study differed from our collection methods. A separate study of resprouting found that none of the six tree species investigated recovered their aboveground biomass 1 year after physical removal of stems (Schafer and Just 2014). While we did not measure stems of other species surrounding L. subcoriacea individuals, our anecdotal observations of the response of those species suggested that their post-fire recovery was similar to L. subcoriacea, with neighboring species not outcompeting or overtopping regenerating L. subcoriacea individuals. ...
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... Experiments on the effects of disturbances on resprouting commonly include clipping aboveground plant parts (e.g., Cruz et al. 2003;Schafer and Just 2014;Martinez-Vilalta et al. 2016). If the main effect of repeated loss of aboveground biomass is carbohydrate starvation, then clipping and burning should have similar effects on resprouting (Hmielowski et al. 2014;Michielsen et al. 2017). ...
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Background Resprouting is an effective strategy for persistence of perennial plants after disturbances such as fire. However, can disturbances be so frequent that they limit resprouting? We examined the effects of fire and mowing frequency on eight species of resprouting shrubs in Florida scrub, USA, using a factorial field experiment. We burned or mowed plots at four disturbance return intervals (DRI): either annually, biennially, every three years, or once in six years (with all plots being treated in the sixth year to control for time since disturbance). We analyzed plant growth responses (height, aboveground biomass, number of stems) based on sampling pre treatment, and six months, one year, two years, and four years post-treatment. We also measured non-structural carbohydrates (NSC) and soil properties to evaluate these factors as potential drivers of resprouting responses. Results Fire temperatures were hot (mean maxima 414 to 698 °C among burn days), typical of larger fires in Florida scrub. Plant biomass and heights were affected by DRI (being suppressed by frequent disturbance, especially initially) and varied among species with palmettos recovering biomass faster, and species within the same genus generally showing similar responses. Biomass recovery in mown versus burned treatments showed comparable effects of DRI and similar trajectories over time. Numbers of stems were affected by DRI, disturbance type, and species, and increased after disturbances, especially with less frequent disturbances and mowing, and subsequently declined over time. NSC concentrations varied among species and over time and were positively related to biomass. One year post disturbance, soil moisture and organic matter content were higher in mown plots, while pH was higher in burned plots. Given the slightly lower elevation of the mown plots, we interpreted these differences as site effects. Soil properties were not affected by DRI and did not affect biomass responses. Conclusions Although very frequent disturbances reduced shrub growth responses, the magnitude of plant responses was modest and the effects temporary. Because resprouting shrubs in Florida scrub appear resilient to a range of disturbance return intervals, frequent fire or mowing can be used effectively in restorations.
... Because the resprout category also includes surviving trees, many resprouts were large in diameter. Resprouting from roots or stems is a survival tactic that allows a tree to persist after disturbance (Clarke et al., 2013;Schafer and Just, 2014). Resprouting trees can survive even severe damage (Schafer and Just, 2014). ...
... Resprouting from roots or stems is a survival tactic that allows a tree to persist after disturbance (Clarke et al., 2013;Schafer and Just, 2014). Resprouting trees can survive even severe damage (Schafer and Just, 2014). In the present study, some trees were cut down to stumps during the flood debris removal process and were still able to resprout. ...
... Deforestation and changes in land use intensity are common activities that could negatively impact native forest biota [3][4][5][6]. New seed input [7], buried seeds in the soil [8,9], resprouting [10], and seedling survival rates determine the development of subsequent vegetation after disturbances [11]. Thus, in pristine natural forests, continuous seed input and storage could ensure plant community regeneration following a disturbance [12]. ...
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Human activity negatively affects the sustainability of forest ecosystems globally. Disturbed forests may or may not recover by themselves in a certain period of time. However, it is still unclear as to what parameters can be used to reasonably predict the potential for self-recovery of human-disturbed forests. Here, we combined seed rain, soil seed bank, and seed emergence experiments to evaluate the potential for self-recovery of a highly disturbed, tropical, mixed deciduous forest in northeastern Thailand. Our results show a limited potential for self-recovery of this forest due to low seedling input and storage and an extremely high mortality rate during the drought period. There were 15 tree species of seedlings present during the regeneration period in comparison with a total number of 56 tree species in current standing vegetation. During the dry season, only four tree seedling species survived, and the highest mortality rate reached 83.87%. We also found that the correspondence between the combined number of species and composition of plant communities obtained from seed rain, soil seed bank, and seedling emergence experiments and the standing vegetation was poor. We clearly show the temporal dynamics of the seed rain and seedling communities, which are driven by different plant reproductive phenology and dispersal mechanisms, and drought coupled with mortality. We conclude that this highly disturbed forest needs a management plan and could not recover by itself in a short period of time. We recommend the use of external seed and seedling supplies and the maintenance of soil water content (i.e., shading) during periods of drought in order to help increase seedling abundances and species richness, and to reduce the mortality rate.
... Key factors at larger scales are historical disturbance regimes, disturbance type and severity, and environmental characteristics, among others (Kruger et al., 1997;Bellingham and Sparrow, 2000;Del Tredici, 2001;Bond and Midgley, 2001;Bond and Midgley, 2003;Pausas and Keeley, 2014). At a smaller scale, growth form Vesk, 2006;Zizka et al., 2014) and individual plant size (Burrows, 1985;Hodgkinson, 1998;Keeley, 2006;Schafer and Just, 2014) are also key to explain plant response to disturbance, mainly because there is a trade-off between reserve storage and the production of new tissues (Bond and Midgley, 2001;Schwilk and Ackerly, 2005;Vesk, 2006). For example, it's been reported that shrubs in semiarid environments tend to produce a greater number of thinner resprouts than trees, and a greater total volume of resprouts per unit area, so their canopies can rapidly achieve the reproductive size; whereas trees allocate reserves to a smaller number of thicker resprouts to grow tall and escape the flame zone (Hoffmann and Solbrig, 2003;Zizka et al., 2014). ...
... Further measurements will help confirm the performance of the proposed RCIs for said species. Our results indicate that despite the variability in the number and diameter of resprouts and trunks between and within species, the allometric relationship between their respective estimated composite diameters (ECRD and ECTD) is closely linked to the relationship between the diameter of the main resprout and the main trunk, as has been shown for a limited number of tree species by Schafer and Just (2014). ...
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Qualitative measures of resprouting capacity often fail to capture inter-and intra-species variation, whereas available quantitative methods can be complex and time-consuming, hindering broad-scale comparative studies. Here, we propose two quantitative indices that can be applied in a standard way in different regions. We sampled 1046 plants of 20 dominant species (6 shrubs, 7 trees and 7 tree/shrubs) from the seasonally dry forests of the arid Chaco, central-western Argentina. Sampling was conducted in burned field sites one growing season after fire. For each sampled plant we measured the diameter of the main burned trunk (MTD) and main resprout (MRD), and the number of burned trunks (TN) and resprouts (RN); we then built estimated composite diameters for trunks and resprouts (ECTD and ECRD) and we calculated two alternative Resprouting Capacity Indices: RCI 1 (ECRD/ECTD); and RCI 2 (MRD/MTD). The indices were validated against a measure of Resprouting Vigour (RV) that included detailed measurement of all trunks and resprouts for a subset of sampled plants. In all cases, variables indicative of fire severity were measured and included in the analyses. The RCIs and RV were highly related, both at the species and growth form levels. Fire severity had no significant effect on these relationships, but growth form affected RCI 2. All species were capable of resprouting, showing considerable inter-species variation for the two proposed RCIs. Species rank differed considerably between RCIs and survival-only estimations. RCI 1 was higher in tree/shrubs (i.e. species regarded as trees or shrubs) and trees than in shrubs. All species showed decreasing resprouting capacity with increasing ECTD. Our results support the use of the proposed RCIs as a robust tool to assess resprouting capacity, providing more details than survival-based assessments. Choosing one or the other implies a trade-off between accuracy and simplicity, and may depend on the scale and objective of the study, and resprouting patterns of studied species. Species, growth form and individual plant size are relevant in explaining post-fire resprouting capacity and survival.
... In this approach, the occurrence of fire is therefore uninfluenced by time since last fire, which is possible only if flammability is regained quickly after fire, owing to the rapid accumulation of fine fuels. This is commonly true in longleaf pine savannas because they regain flammability quickly after fire and can burn annually (Stambaugh et al. 2011, Schafer andJust 2014). However, a constant probability of burning is nevertheless an oversimplification because of changing fuel loads with increasing time since fire. ...
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Fire controls tree cover in many savannas by suppressing saplings through repeated topkill and resprouting, causing a demographic bottleneck. Tree cover can increase dramatically if even a small fraction of saplings escape this fire trap, so modeling and management of savanna vegetation should account for occasional individuals that escape the fire trap because they are “better” (i.e., they grow faster than average) or because they are “lucky” (they experience an occasional longer‐than‐average interval without fire or a below‐average fire severity). We quantified variation in growth rates and topkill probability in Quercus laevis (turkey oak) in longleaf pine savanna to estimate the percentage of stems expected to escape the fire trap due to variability in (1) growth rate, (2) fire severity, and (3) fire interval. For trees growing at the mean rate and exposed to the mean fire severity and the mean fire interval, no saplings are expected to become adults under typical fire frequencies. Introducing variability in any of these factors, however, allows some individuals to escape the fire trap. A variable fire interval had the greatest influence, allowing 8% of stems to become adults within a century. In contrast, introducing variation in fire severity and growth rate should allow 2.8% and 0.3% of stems to become adults, respectively. Thus, most trees that escape the fire trap do so because of luck. By chance, they experience long fire‐free intervals and/or a low‐severity fire when they are not yet large enough to resist an average fire. Fewer stems escape the fire trap by being unusually fast‐growing individuals. It is important to quantify these sources of variation and their consequences to improve understanding, prediction, and management of vegetation dynamics of fire‐maintained savannas. Here we also present a new approach to quantifying variation in fire severity utilizing a latent‐variable model of logistic regression.