Light distribution in mesic grasslands: Spatial patterns and temporal dynamics

Abstract. Spatial patterns and temporal dynamics of light distribution were investigated using lacunarity analysis, a multi‐scale measure of spatial heterogeneity, in three mesic grasslands with different disturbance regimes. Frequency distributions of relative light intensity (RLI) were similar for the two non‐disturbed grasslands, despite different composition (forbs vs. caespitose grass) resulting from different historical disturbance regimes prior to 1985, and different from the annually disturbed grassland. Spatial heterogeneity of light distribution was greater at all scales in the native, annually disturbed grassland than in the two non‐disturbed grasslands. The disturbance regime affected temporal dynamics of the spatial patterns of light distribution in each grassland. The annually disturbed grassland exhibited a dramatic decrease in lacunarity (heterogeneity) from early to late April, likely the result of considerable growth of a cool‐season grass. A general decrease in lacunarity occurred in the native, non‐disturbed grassland, although the magnitude was much less than in the annually disturbed grassland. The reverted, non‐disturbed grassland did not exhibit an appreciable change in lacunarity until later in the growing season, and then only at smaller scales. Combining the frequency distribution of RLI and the lacunarity curves provided an effective approach to assess relationships between the dynamics of spatial pattern of light distribution and ecological processes as influenced by different disturbance regimes. Integrating lacunarity analysis with more traditional measurements of grassland ecosystems (plant spatial distribution and arrangement and plant species composition and architecture) may be an effective way to assess functional consequences of structural changes in grassland ecosystems.     

Mapping forest-cover disturbances in Papua New Guinea with AVHRR data

Abstract. Land management and land-use planning in a forested country such as Papua New Guinea, which is subject to various anthropogenic pressures, requires an accurate mapping of forest-cover disturbances. The central hypothesis of this study was that remote sensing indicators of forest-cover conditions can be used to measure and map the impact of long-term forest-cover disturbances. This was tested with single year NOAA's Advanced Very-High Resolution Radiometer sensor (AVHRR) data at 1.1 km resolution. First, an ordinal scale of forest-cover disturbance was defined from field observations, a set of thematic maps and high spatial resolution satellite sensor data. Secondly, we analysed the relationship between the forest-cover disturbance scale and several biophysical indicators derived from AVHRR data at two seasons. Thirdly, a statistical analysis identified the optimal combination of biophysical indicators and observation dates to discriminate between the forest disturbance levels defined previously. A forest-cover disturbance map was then produced over part of Papua New Guinea. Finally, a regionalization of the study area in terms of aggregate degree of disturbance was produced and the spatial patterns of forest disturbances were interpreted for each region in terms of broad processes of forest-cover change. The overall accuracy of the forest-cover disturbance map was 79%. Nine regions, homogeneous in regard to the distribution and spatial pattern of disturbance categories, were identified.     

Spatial heterogeneity of global forest aboveground carbon stocks and fluxes constrained by spaceborne lidar data and mechanistic modeling

Forest carbon is a large and uncertain component of the global carbon cycle. An important source of complexity is the spatial heterogeneity of vegetation vertical structure and extent, which results from variations in climate, soils, and disturbances and influences both contemporary carbon stocks and fluxes. Recent advances in remote sensing and ecosystem modeling have the potential to significantly improve the characterization of vegetation structure and its resulting influence on carbon. Here, we used novel remote sensing observations of tree canopy height collected by two NASA spaceborne lidar missions, Global Ecosystem Dynamics Investigation and ICE, Cloud, and Land Elevation Satellite 2, together with a newly developed global Ecosystem Demography model (v3.0) to characterize the spatial heterogeneity of global forest structure and quantify the corresponding implications for forest carbon stocks and fluxes. Multiple-scale evaluations suggested favorable results relative to other estimates including field inventory, remote sensing-based products, and national statistics. However, this approach utilized several orders of magnitude more data (3.77 billion lidar samples) on vegetation structure than used previously and enabled a qualitative increase in the spatial resolution of model estimates achievable (0.25° to 0.01°). At this resolution, process-based models are now able to capture detailed spatial patterns of forest structure previously unattainable, including patterns of natural and anthropogenic disturbance and recovery. Through the novel integration of new remote sensing data and ecosystem modeling, this study bridges the gap between existing empirically based remote sensing approaches and process-based modeling approaches. This study more generally demonstrates the promising value of spaceborne lidar observations for advancing carbon modeling at a global scale.     

Adaptation, phenology and disturbance of macroinvertebrates in temporary water bodies

The temporal transition of species dominance following disturbances is strongly influenced by taxon life histories. In temporary water bodies, seasonal progression can be rapid. The community response of aquatic littoral invertebrate communities to disturbance was measured across four temporary water bodies (turloughs) representing a hydroperiod gradient in the karst landscape of western Ireland. Three distinct turlough wet-phases were identified based on macroinvertebrate taxon richness and community composition: filling, aquatic and drying phase. Invertebrates able to recolonise the turlough environment quickly upon flooding from refugia (e.g. sink-holes or little puddles) or resting stages within the turlough basin demonstrated highest proportion in abundances during the initial filling phase. Over time, the number of actively dispersing invertebrates, generally occupying turloughs only for a part of their life-cycle, increased. Hydroperiod had a significant effect on macroinvertebrate taxon richness, with short hydroperiods supporting low faunal diversity. Influence of hydrological disturbance generally decreased with progression of the annual wet phase, indicated by a decrease in taxon richness variation and an increase of biodiversity with time. Our study highlights the importance of life-cycle strategies of species for the occurrence of fairly predictable and periodically occurring seasonal patterns, and emphasizes the importance of ecological disturbances for colonisation cycles.     

Fire Severity in Conifer Forests of the Sierra Nevada, California

Natural disturbances are an important source of environmental heterogeneity that have been linked to species diversity in ecosystems. However, spatial and temporal patterns of disturbances are often evaluated separately. Consequently, rates and scales of existing disturbance processes and their effects on biodiversity are often uncertain. We have studied both spatial and temporal patterns of contemporary fires in the Sierra Nevada Mountains, California, USA. Patterns of fire severity were analyzed for conifer forests in the three largest fires since 1999. These fires account for most cumulative area that has burned in recent years. They burned relatively remote areas where there was little timber management. To better characterize high-severity fire, we analyzed its effect on the survival of pines. We evaluated temporal patterns of fire since 1950 in the larger landscapes in which the three fires occurred. Finally, we evaluated the utility of a metric for the effects of fire suppression. Known as Condition Class it is now being used throughout the United States to predict where fire will be uncharacteristically severe. Contrary to the assumptions of fire management, we found that high-severity fire was uncommon. Moreover, pines were remarkably tolerant of it. The wildfires helped to restore landscape structure and heterogeneity, as well as producing fire effects associated with natural diversity. However, even with large recent fires, rates of burning are relatively low due to modern fire management. Condition Class was not able to predict patterns of high-severity fire. Our findings underscore the need to conduct more comprehensive assessments of existing disturbance regimes and to determine whether natural disturbances are occurring at rates and scales compatible with the maintenance of biodiversity.     

Spatial scaling in a benthic population model with density-dependent disturbance.

This work investigates approaches to simplifying individual-based models in which the rate of disturbance depends on local densities. To this purpose, an individual-based model for a benthic population is developed that is both spatial and stochastic. With this model, three possible ways of approximating the dynamics of mean numbers are examined: a mean-field approximation that ignores space completely, a second-order approximation that represents spatial variation in terms of variances and covariances, and a patch-based approximation that retains information about the age structure of the patch population. Results show that space is important and that a temporal model relying on mean disturbance rates provides a poor approximation to the dynamics of mean numbers. It is possible, however, to represent relevant spatial variation with second-order moments, particularly when recruitment rates are low and/or when disturbances are large and weak. Even better approximations are obtained by retaining patch age information.     

Temporal variability within disturbance events regulates their effects on natural communities

Disturbances are processes inherently variable in time and space. This variability comprises a key determinant of ecosystem responses to disturbance. Temporal patterns can, however, vary significantly both among and within individual disturbance events. While recent research has demonstrated an importance of the former, studies on the effects of variability within perturbations have consistently confounded temporal variability with other disturbance attributes (e.g. overall intensity or duration). We established a field experiment to test explicitly the hypothesis that the temporal pattern within perturbations can drive ecosystem responses independently of other disturbance traits. We examined the effects of two disturbance regimes comprising sediment pulses of contrasting temporal pattern (constant and temporally variable intensities) on the benthic invertebrate assemblage of a headwater stream. The overall intensity, duration, timing and frequency of the perturbations were, however, identical. Invertebrates drifting during the temporally variable pulses were more abundant and differed in taxonomic and trophic structure than those exposed to constant perturbations. Moreover, whereas temporal patterns of disturbance events had no immediate effect on benthic invertebrate assemblages in situ, assemblages exposed to the constant perturbations took longer to recover from sediment disturbances than those exposed to temporally variable perturbations. Our results demonstrate that variability in the temporal pattern of intensity within individual perturbations can regulate, independently of other disturbance attributes, the extent and type of ecosystem responses to, and recovery from, disturbances. Effective environmental management and policy therefore necessitate the explicit quantification of temporal patterns of intensity both within and among perturbations.     

Natural disturbances are spatially diverse but temporally synchronized across temperate forest landscapes in Europe

Natural disturbance regimes are changing substantially in forests around the globe. However, large‐scale disturbance change is modulated by a considerable spatiotemporal variation within biomes. This variation remains incompletely understood particularly in the temperate forests of Europe, for which consistent large‐scale disturbance information is lacking. Here, our aim was to quantify the spatiotemporal patterns of forest disturbances across temperate forest landscapes in Europe using remote sensing data and determine their underlying drivers. Specifically, we tested two hypotheses: (1) Topography determines the spatial patterns of disturbance, and (2) climatic extremes synchronize natural disturbances across the biome. We used novel Landsat‐based maps of forest disturbances 1986–2016 in combination with landscape analysis to compare spatial disturbance patterns across five unmanaged forest landscapes with varying topographic complexity. Furthermore, we analyzed annual estimates of disturbances for synchronies and tested the influence of climatic extremes on temporal disturbance patterns. Spatial variation in disturbance patterns was substantial across temperate forest landscapes. With increasing topographic complexity, natural disturbance patches were smaller, more complex in shape, more dispersed, and affected a smaller portion of the landscape. Temporal disturbance patterns, however, were strongly synchronized across all landscapes, with three distinct waves of high disturbance activity between 1986 and 2016. All three waves followed years of pronounced drought and high peak wind speeds. Natural disturbances in temperate forest landscapes of Europe are thus spatially diverse but temporally synchronized. We conclude that the ecological effect of natural disturbances (i.e., whether they are homogenizing a landscape or increasing its heterogeneity) is strongly determined by the topographic template. Furthermore, as the strong biome‐wide synchronization of disturbances was closely linked to climatic extremes, large‐scale disturbance episodes are likely in Europe's temperate forests under climate changes.     

Functional and structural stability are linked in phytoplankton metacommunities of different connectivity

The diversity–stability debate is a long‐standing issue in ecology, asking whether more diverse communities show higher stability over time and more rapid recovery from disturbances. Connection to undisturbed habitats is thought to affect compositional and functional stability after disturbances. Therefore, we established marine phytoplankton metacommunities consisting of three microcosms (local patches), which were connected by tubes opened for different time intervals to create 5 levels of connectivity. We performed two experiments differing by homogeneous (HOM) or heterogeneous (HET) supply of irradiance across patches. As disturbance we either removed 75% of the algal biomass locally from one randomly chosen patch, or 25 or 75% regionally from each local patch. By comparing these treatments to an undisturbed control, we analyzed resilience (rate of recovery) and final recovery (recovery ratio) with regard to biomass (functional stability) and species composition (structural stability). In both experiments (HET, HOM), functional and structural aspects of stability responded significantly to connectivity and disturbance treatments. Functional resilience was enhanced by increasing connectivity (HET and HOM), which partially also increased functional recovery (HET) and structural resilience (HOM). By contrast, the treatment‐induced gradients in diversity (species richness and evenness) had no clear effect on functional resilience or recovery. Instead, structural and functional resilience were strongly correlated regardless of patch quality, indicating that only a full recovery in community composition ensured functional stability. Our findings suggest that connectivity plays a pivotal role in maintaining ecosystem stability under pulse disturbance such that a more complete understanding of stability requires spatially explicit approaches.     

Multi-scale vulnerability of natural capital in a panarchy of social–ecological landscapes

Environmental security, as the opposite of environmental vulnerability (fragility), is multi-layered, multi-scale and complex, existing in both the objective physical, biological, and social realm, and the subjective realm of individual human perception. In this paper, we detect and quantify the scales and spatial patterns of human land use as ecosystem disturbances at different hierarchical levels in a panarchy of social–ecological landscapes (SELs) by using a conceptual framework that characterizes multi-scale disturbance patterns exhibited on satellite imagery over a four-year time period in Apulia (South Italy). In this paper we advance the measure of the functional importance of ESPs provided by natural areas and permanent cultivations based on their effectiveness at performing the services. Any landscape element contributes to the overall proportion of disturbance in the region, through its composition of disturbed locations (pixels), and to the overall disturbance connectivity through its configuration. Such landscape elements represent, in turn, functional units for assessing functional contributions of ES providers at different scale(s) of operation of the service. We assume that such effectiveness at performing the services will result directly affected by how much disturbance surrounds ESP locations at different neighborhoods. Multi-scale measurements of the composition and spatial configuration of disturbance are the basis for evaluating vulnerability of ecosystem services through multi-scale disturbance profiles concerning land-use locations where most of ecosystem service providers reside. Vulnerability estimates are derived from the identification of scale range couplings or mismatches among land-use disturbances related to different land uses and revealed by trajectories from the global profile to local spatial patterns. Scale mismatches of disturbances in space and time determine the role of land use as a disturbance source or sink, and may govern the triggering of landscape changes affecting ecosystem service providers at the scale(s) of operation of the service. The role of natural areas and permanent cultivations (olive groves and vineyards) in providing disturbance regulation across scales in South Italy has consequences for regional SELs since it may govern if and how disturbances associated with land-use intensification (sources) will affect the functional contribution of ES providers.     

Spatial analyses of intertidal assemblages on sheltered rocky shores

Abstract Understanding processes in complex assemblages depends on good understanding of spatial and temporal patterns of structure at various spatial scales. There has been little quantitative information about spatial patterns and natural temporal changes in intertidal assemblages on sheltered rocky shores in temperate Australia. Natural changes and responses to anthropogenic disturbances in these habitats cannot be accurately measured and assessed without quantitative data on patterns of natural variability in space and through time. This paper describes some suitable quantitative methods for examining spatial and temporal patterns of diversity and abundances of highshore, midshore and lowshore intertidal assemblages and the important component species for a number of shores in a bay that has not been severely altered by human disturbance. Despite a diverse flora and fauna on these shores, the midshore and lowshore assemblages on sheltered shores were characterized by a few species which were also the most important in discriminating among assemblages on a shore and, for each assemblage, among different shores. The same set of species was also important for measuring small-scale patchiness within each assemblage (i.e. between replicate sites on a shore). Therefore, these data provide a rationale for selecting species that are useful for measuring differences and changes in abundance among places and times at different scales and, hence, can be used in the more complex sampling designs necessary to detect environmental impacts. There was considerable spatial variability in all assemblages and all species (or taxa) examined at scales of metres, tens of metres and kilometres. There were no clear seasonal trends for most measures, with as much or more variability at intervals of 3 months as from year to year. Most interactions between spatial and temporal measures were at the smallest scale, with different sites on the same shore generally showing different changes from time to time. The cause(s) of this apparently idiosyncratic variability1 were not examined, but some potential causes are discussed. These data are appropriate for testing hypotheses about the applicability of these findings to other relatively undisturbed sheltered shores, about effects of different anthropogenic disturbances on sheltered intertidal assemblages and to test hypotheses about differences in intertidal assemblages on sheltered versus wave-exposed shores.     

Spatiotemporal evolution analysis of human disturbances on giant panda: A new approach to study cumulative influences with large spatial scales

The disturbance of wildlife habitats by human activities has become an important driving force in the evolution of ecological landscapes. However, human disturbances in panda habitats are highly diverse and complex. To study the changes in the temporal and spatial dynamics of human disturbances affecting panda populations, an analysis model for the evolution of human interference was designed using information entropy and statistical methods. Based on data from the third and fourth National Wild Giant Panda surveys in China, we analyzed the developmental trend, spatial distribution, and characteristics of the current state and regional distribution of human disturbances affecting panda populations. The results showed that shoot gathering, farming, and tourism were key local distribution factors, whereas hunting, road infrastructure, and logging had a more widespread impact on panda habitat. Livestock and herb gatherings, however, showed no clear distribution patterns. The influence of the main disturbance factors (logging, livestock, road infrastructure, and shoot gathering) tended to increase over time, whereas the development of the relative strength and weakness of the disturbances showed an evolutionary trend. Although logging, livestock, shoot gathering, and road infrastructure have historically been the main panda habitat disturbances, the impact of logging and shoot gathering has been diminishing over time, with road infrastructure emerging as the leading disturbance factor. Farming has shaped the distribution area of giant panda habitats over the past several hundred years. Additionally, logging has caused current fragmentation patterns for several decades. Moreover, it is estimated that road infrastructure will have a broad and profound impact in the coming decades. Our results indicate that the information entropy theory can be effectively used to analyze the temporal and spatial characteristics of human disturbances that affect wildlife. Our findings will provide a basis for ecological policies that aid the preservation of threatened panda populations and guide future research on habitat disturbance.     

Comparison of regeneration following burning,clearing or mineral sand mining at Tomago,NSW: II. Succession of ant assemblages in a coastal forest

Abstract The dry sclerophyll forest community of the Tomago Sandbeds, near Newcastle in New South Wales, has been subject to regular disturbances due to fire, clearing and strip mining for over 18 years. In this study we use chronosequence analysis to examine whether the structure of the ant community varies with the type of disturbance and the time since disturbance. We treat the recovery trajectory after fire as a control trajectory because fire is an endogenous disturbance. The main analyses were based on an ant fauna comprising 72 species sampled from 44 sites surveyed in December 1992. Comparison with samples taken in April and December 1991, and for cumulative records for all sites over this 20 month period, all show quantitatively similar responses. Results suggest that while fire has a minor effect on the composition of the ant community over time, the impact of clearing and mining is much more severe. Ant species richness at cleared and mined sites recovers rapidly, overshoots controls in mid-succession and returns to control levels by 18 years after disturbance. The cumulative number of species recorded over all sites (from the total recorded fauna of 82 species) for each different disturbance type were: burned, 61; cleared, 55; and mined 56. Species composition at cleared or mined sites, after 18 years, approaches but does not match controls. The recovery trend for mined sites lags slightly behind that for cleared sites, which have reached 49% similarity with the oldest burned sites, while mined sites have not exceeded 39% similarity of species composition. The main patterns in the ant community appear to be related to habitat variables. These results provide further evidence that the ant community may be used as a reliable bio-indicator for evaluating the extent of habitat damage and recovery after disturbance in these Australian forests.     

Patterns of spatial and temporal variation of macrofauna under boulders in a sheltered boulder field

Abstract Spatial and temporal patterns of abundance of animals and plants must be quantified before models to explain distributions can be developed. These patterns also provide essential data for measuring potential effects of environmental disturbances. Studies in many different habitats have shown that most organisms, particularly invertebrates, have highly variable and interactive patterns of abundance, with much variability at the smallest temporal and spatial scales. Intertidal boulder fields in New South Wales, Australia, support a diverse fauna, many species of which are relatively rare. These habitats are commonly found near rock‐platforms and in sheltered estuaries and are subjected to many human disturbances. Although there have been a few studies on the fauna in boulder fields, none has documented variability of the assemblage using multivariate and univariate techniques and most studies have not incorporated different spatial and temporal scales. This study quantifies spatial variation at three scales (metres, tens of metres alongshore and tens of metres upshore) and temporal variation at two scales (3 months and 2 years) of the assemblage of molluscs and echinoderms in a sheltered boulder field subjected to little natural or human disturbance. Multivariate analyses revealed that each site contained a distinct assemblage, mainly due to the relative abundances of a few species. Most species, those generally only found under boulders and common, widespread species, had considerable spatial variability in abundances, with more than 90% measured at the smallest scale, that is metre to metre within a site. Changes in abundances over 3 months or 2 years varied among species and sites in unpredictable ways. These data show that sampling designs to measure impacts on these fauna will need to be complex and must incorporate a number of spatial and temporal scales if they are to be able to detect impact against such a variable background.     

刈割和施肥对高寒草甸物种多样性和功能多样性时间动态及其关系的影响

强烈扰动和环境胁迫对植物群落的物种多样性(SD)和功能多样性(FD)有重要影响, 但SD和FD随时间的变化模式及其关系至今少有研究。该研究通过对高寒矮生嵩草(Kobresia humilis)草甸为期7年(2007-2013年)的刈割(3个水平: 不刈割、留茬3 cm和留茬1 cm)和施肥(2个水平: 施肥和不施肥)控制实验探讨了SD和FD随时间的变化模式及其关系。研究结果显示: (1)刈割显著增加了SD和FD, 施肥处理则降低了SD, 对FD增加仅有微弱影响; (2)各处理群落的SD随着时间而下降, FD则随时间增加; (3)随着刈割强度的增加, SD(x)-FD(y)关系由正线性相关变为无相关, 斜率大小为slope_l ≥ slope_m > slope_h (下标l、m和h分别表示轻度、中度和重度扰动强度), 施肥并不会改变此关系形式和斜率; (4)刈割与施肥对SD和FD的互作效应都不显著, 且不施肥群落SD(x)-FD(y)关系的斜率也为slope_l ≥ slope_m > slope_h。上述结果说明, 刈割并不一定导致植物功能性状的趋同构建, 也能引发趋异构建, 而施肥引起的强烈种间竞争也并未显著增强趋异构建过程, 这与植物群落构建理论的预测不完全一致。与施肥相比, 刈割扰动是决定群落中SD-FD时间关系形式的主要因素, 并决定着SD-FD关系斜率的变化。     

基于NDVI时间序列轨迹的草原露天矿区植被时空动态特征

采矿作用下草原露天矿区植被时空动态特征尚不明确.以胜利露天矿区为例,选取MODIS和Landsat影像,利用ESTARFM构建2001—2015年植被生长期一致的年际Landsat时间序列,以时间分割算法拟合像元NDVI时间序列轨迹,结合轨迹形态特征提取早期扰动型、持续扰动型、扰动稳定型、扰动稳定恢复型和扰动恢复型5种植被动态类型及各类型的时间特征.结果表明:胜利矿区植被动态类型以扰动恢复型为主,占各类型像元总数的55.2%,扰动稳定型和持续下降型次之,分别为25.6%和11.0%,早期扰动型和扰动稳定恢复型较小,分别为3.5%和4.7%.扰动多发于2004—2009年,稳定期多始于2008年,空间上多分布于露天采场和排土场,恢复期多始于2008年和2010年,其空间范围较小且集中于矿井外围和排土场.扰动持续时长以1年为主,稳定期持续时长以7年为主,恢复期持续时长中稳定恢复型为2～5年,扰动恢复型为8年.     

Spatio-temporal patterns of soil available nutrients following experimental disturbance in a pine forest

Although disturbance is known to alter soil nutrient heterogeneity, it remains unclear whether spatial patterns in soil nutrients after disturbance follow predictable temporal changes that reflect underlying processes. This study examined the effects of tree harvesting and girdling on overall variability, geostatistical patterns, and resource congruence of soil available nutrients in a mature Pinus elliottii Engelm. forest. The two disturbances led to different patterns of vegetation removal, forest floor redistribution, and revegetation, but showed similar post-disturbance changes in overall soil nutrient variability. Soil nutrient variability increased after both disturbances by more than 5-fold, and then decreased, returning to the undisturbed level in 4 years. Spatial structures assessed using geostatistics did not show predictable temporal trends. However, girdled plots showed more persistent spatial structures in soil nutrients than harvested plots, and had semivariogram ranges mostly equal to or less than 10 m, reflecting effects of persistent and spatially stable patches of undisturbed hardwoods that had an average patch size of 10 m. Resource congruence examined with Spearman rank correlations was nil before disturbance, increased after disturbance and then became nil again by the 4th year post-disturbance. The timing of the increase was related to treatment, occurring in the 1st year after disturbance in the girdled plots, but not until the 2nd year in the harvested plots. These two patterns of congruence were potentially caused by different rates of nutrient patch formation and resource uptake by plants during early succession. Although temporal changes in soil heterogeneity have been documented previously, the present study indicates that temporal trends in nutrient variability after disturbance may be predictable, and that the marked changes in spatio-temporal patterns of soil nutrients as a result of disturbance are ephemeral.Electronic Supplementary Material Supplementary material is available in the online version of this article at     

Combined disturbances and the role of their spatial and temporal properties in shaping community structure

Disturbances are characteristic for many ecosystems. However, we still lack generalizations concerning their role in shaping communities, particularly when disturbances co-occur. To study such effects, we used a novel modeling approach that is unrestricted by a priori tradeoffs among specific plant traits, except for those generated by allocation principles. Thus, trait combinations were emergent properties associated with biotic and abiotic constraints. Specifically, we asked which traits dominate under specific disturbance regimes, whether single and combined disturbance regimes promote similar trait tradeoffs and how complex disturbance regimes affect species richness and functional diversity. Overall, disturbances’ temporal properties governed the outcome of combined disturbances and were a stronger assortative force than spatial disturbance properties: low temporal predictability decreased seed-dispersability and dormancy, but increased competitive ability and disturbance tolerance. Evidence for tradeoffs between different colonization modes and between dormancy and disturbance tolerance were found, while surprisingly, the widely accepted colonization–competition tradeoff was not generated. Diversity was highest at intermediate disturbance intensity, but decreased monotonically with increasing unpredictability. In accordance with our results, future models should avoid restrictive assumptions about tradeoffs to generate robust and more general predictions about the role of disturbances for community dynamics.     

Wildfire and forest harvest disturbances in the boreal forest leave different long-lasting spatial signatures

Aims

Natural disturbances leave long-term legacies that vary among landscapes and ecosystem types, and which become integral parts of successional processes at a given location. As humans change land use, not only are immediate post-disturbance patterns altered, but the processes of recovery themselves are likely altered by the disturbance. We assessed whether short-term effects on soil and vegetation that distinguish wildfire from forest harvest persist over 60 years after disturbance in boreal black spruce forests, or post-disturbance processes of recovery promote convergence of the two disturbance types.

Methods

Using semi-variograms and Principal Coordinates of Neighbour Matrices, we formulated precise, a priori spatial hypotheses to discriminate spatial signatures following wildfire and forest harvest both over the short- (16–18 years) and long-term (62–98 years).

Results

Both over the short- and the long-term, wildfire generated a wide spectrum of responses in soil and vegetation properties at different spatial scales, while logging produced simpler patterns corresponding to the regular linear pattern of harvest trails and to pre-disturbance ericaceous shrub patches that persist between trails.

Conclusions

Disturbance by harvest simplified spatial patterns associated with soil and vegetation properties compared to patterns associated with natural disturbance by fire. The observed differences in these patterns between disturbance types persist for over 60 years. Ecological management strategies inspired by natural disturbances should aim to increase the complexity of patterns associated with harvest interventions.