Forest succession in tropical hardwood hammocks of the Florida Keys:
effects of direct mortality from Hurricane Andrew
 summitted to Biotropica (MS # 99116)
by
Michael S. Ross1, Mary Carrington2,  Laura J. Flynn3, Pablo L. Ruiz1
1Florida International University, Southeast Environmental Research Center, University Park OE-148, Miami, Fl, USA 33199.
2Department of Wildlife Ecology & Conservation, SW Research & Education Center, Institute of Food & Agricultural Science,  2686 State Road,  29 N, Immokalee, FL 34142.
3The Nature Conservancy, Lower Hudson Chapter, 41 South Moger Avenue, Mt. Kisco, NY 10549.
November 17, 1999
                           Southeast Environmental Research Program, Florida International University, Univeristy Park, OE-148, Miami, Fl., 33199
                                Florida International University, Southeast Environmental Research Center, Copyright © 1999. All rights reserved.
 


 
Abstract:
Introduction: 

Study Area:

Methods:
Results:
Discussion:
Acknowledgements:
Literature Cited:
 
 Hammock Trail at Lignumvitae Key 
photo by Pablo L Ruiz
 


Abstract
 
    A tree species replacement sequence for dry broadleaved forests (tropical hardwood hammocks) in the upper Florida Keys was inferred from species' abundances in stands abandoned from agriculture or other anthropogenic acitivities at different times in the past. Stands were sampled soon after Hurricane Andrew, with live and hurricane-killed trees recorded separately, so it was also possible to assess the immediate effect of Hurricane Andrew on stand successional status. We used weighted averaging regression to calculate successional age optima and tolerances for all species, based on the species composition of the pre-hurricane stands. Then we used weighted averaging calibration to calculate and compare inferred successional ages for stands based on (1) the species composition of the pre-hurricane stands, and (2) the hurricane-killed species assemblages. Species characteristic of the earliest stages of post-agricultural stand development remain a significant component of the forest for many years, but are gradually replaced by taxa not present, even as seedlings, during the first few decades. This compositional sequence of a century or more in length is characterized by the replacement of deciduous by evergreen species, which is hypothesized to be driven by increasing moisture storage capacity in the young organic soils. Mortality from Hurricane Andrew was concentrated among early-successional species, thus tending to amplify the long-term trend in species composition.
 
Key words: succession; hurricanes; dry tropical forest; Florida Keys; disturbance; chronosequence; leaf phenology; Caribbean forests.

Nomenclature: Long & Lakela (1971).

 

Introduction

    Natural disturbances frequently result in a temporary reversal in the directional stand development and species replacement processes associated with woody plant succession (Bormann and Likens 1979; Daniel et al. 1979). With respect to species dynamics, the reversal may stem from more effective resistance to the disturbance by taxa characteristic of early stages of the successional sequence. For instance, variable resistance explains why fires interrupt the encroachment of hardwoods into pine forests of the southeastern coastal plain of the United States (Stout and Marion 1993). Alternatively, variable resistance can be a mechanism that accelerates the successional process rather than interrupting it; cases in which pioneer species are especially disturbance-prone are included within the "inhibition" model of succession of Connell and Slatyer (1977). Examples include ice storms in Appalachian oak forests (Whitney and Johnson 1984) and spruce beetle outbreaks in the Colorado subalpine zone (Veblen 1991).

    Like most plant communities, the dry broadleaved forests of the Caribbean basin - of which the "hardwood hammocks" of the Florida Keys are one example - function in an environment characterized by several types of periodic disturbance, including fire, deforestation, and hurricanes. Wildfires, which recur at relatively long intervals in these forests, may result in high tree mortality and soil loss (Whigham et al. 1991). Moreover, anthropogenic burning and landclearing activities that have been carried out for centuries match or exceed wildfires in their impacts on the existing forests. Compared to these catastrophic disturbances, the impact of hurricanes on Caribbean hardwood forests is probably more frequent but also more ephemeral, i.e., recovery of forest structure is relatively rapid (Turner et al. 1997). Hurricanes and less intense tropical storms may therefore play an important role in dry forest succession following fire or human disturbance, but probably do not initiate the successional process themselves, except on a small scale.

    The ecological literature includes several accounts of long-term successional dynamics in Caribbean tropical forest ecosystems (Crow 1980; Ray and Brown 1995) and in the sub-tropical portions of peninsular Florida (Alexander 1967; Olmsted et al. 1980; Molnar 1990; Mack 1992). However, no published analyses of forest succession in the dry tropical forests of the Florida Keys are available. Our primary objective in the research described below was to describe the species replacement sequence, if any, that characterizes the forests of the Florida Keys. To do so, we determined tree species optima along a chronosequence of 23 stands abandoned from agriculture at different times in the past on a single island, Key Largo, in the upper Florida Keys. Furthermore, we also wished to assess the direct effects of hurricanes or less violent storms on species succession, since nearly all of the stands had experienced several such events since abandonment. We therefore compared the successional status of the assemblage of trees killed by Hurricane Andrew (1992) with that of the pre-hurricane tree community.

 
Study Area

    The upland forests of the upper Florida Keys (delineated in Figure 1 as the islands between Sands Key in Biscayne Bay and Lignumvitae Key in southern Florida Bay) comprise a diverse mixture of deciduous and evergreen broadleaved tree species that is predominantly West Indian in origin (Tomlinson 1986; Robertson 1955). The 15-km stretch of continuous forest in northern Key Largo represents one of the most extensive remaining examples of these communities, which are locally referred to as "hardwood hammocks". Canopy height in these low-branching forests is quite low, averaging about 8-12 meters, with few emergents (Ross et al. 1992; Hilsenbeck 1976). However, basal area in well-developed upper Keys hardwood hammocks is typically high in comparison to other dry tropical forests, ranging from about 25 m2 · ha-1 to more than      40 m2 · ha-1 . Total aboveground biomass usually exceeds 100 Mg · ha-1, and estimated net annual aboveground production is ca   3 Mg · ha-1 · yr-1 (L. Coultas and M. Ross unpublished manuscript). The relatively high productivity of these ecosystems is in sharp contrast to the skeletal organic soils on which they grow. The soils rarely exceed 20 cm in depth (Ross et al. 1992; L. Coultas and M. Ross unpublished manuscript), and develop directly on a Pleistocene limestone bedrock. Elevations range from a maximum of about 2 meters above sea level in the lower (westernmost) Keys to more than 5 meters in the upper Keys.

    As in much of the Florida Keys, the history of Key Largo hammocks includes a period of intensive agricultural disturbance. Aerial photos indicate that much of the island was under cultivation as recently as 1926, with pineapple, lime, and sapodilla among the major crops. Agricultural activities slowed after the 1935 Labor Day hurricane. In addition to causing great loss of life, this storm marked the end of the Overseas Railroad, the major shipping conduit for Keys produce. Landclearing in subsequent years became increasingly associated with non-agricultural purposes, including roads, residential development, oil exploration, and military installations.

    As a result of a maritime setting, climatic conditions in Key Largo are tropical despite a location several degrees north of the Tropic of Cancer (Figure 1). Based on thirty-year averages from the nearest Florida Keys weather station in Tavernier (mean annual temperature 25.1oC, mean annual precipitation 1178 mm), the climate is characterized as tropical with summer rain (Walter 1985), and the ecosystems are classified within Holdridge's (1967) Tropical Dry Forest Life Zone. Periodic freezes that affect forests in mainland South Florida (Olmsted et al. 1993) are extremely rare in the Keys, although a brief freeze in December 1989 did cause some tree mortality and premature leaf abscission in exposed areas of northern Key Largo (Ross pers. obs.). Occasional devastating ground fires that kill virtually all stems and incinerate the shallow organic soils (Olmsted et al. 1980; Craighead 1981) are an important component of the natural disturbance regime impacting hardwood hammocks throughout South Florida. The same is true of frequent windstorms ranging up to major hurricanes, which are less all-consuming in effect. The 190-km stretch from Key West to Key Largo has been affected by 14 major hurricanes (highest winds >125 mph) during the period 1895-1994 (Neumann et al. 1981). Assuming an average path width for maximum winds of 50 km, and an equal likelihood of experiencing a hurricane throughout the Keys, the expected return interval is approximately 27 years.

    The most recent major hurricane to strike Key Largo was Hurricane Andrew, which passed over the northern half of the island in the early morning of August 24, 1992 (Figure 1). The storm's compact path was centered on Biscayne National Park, but the southern eyewall also crossed over the northernmost portions of the Key Largo study area. Peak 5-second gusts in Biscayne National Park were estimated at 70 meters per second, or 157 miles per hour (Powell and Houston 1996). A maximum storm surge of more than 4 meters was recorded on the mainland coast north of the hurricane eye. However, there was no evidence that storm waters rose high enough to inundate the ground surface in Key Largo upland forests.
 

Methods

    Field Methods. --- In May-June 1994, 21-22 months after Hurricane Andrew, we sampled the composition and size structure of living and hurricane-killed trees at 23 upland forest sites in the Crocodile Lakes National Wildlife Refuge and the Key Largo Hammocks State Botanical Area (Figure 1). Sample sites were evenly distributed along a 15-km stretch of the narrow upland ridge, mostly within 200 meters of a road that followed the crest of the uplands. We established a set of nested belt transects 60-100 meters long at each site. For both live and hurricane-killed trees less than 25 cm in diameter, we recorded species and DBH (diameter at 1.45 m height) of all trees rooted within one meter (stems 1.0-9.9 cm DBH) or two meters (stems 10.0-24.9 cm DBH) of the center line of the transect. Live trees > 25 cm DBH were sampled within 5 m of the line, and hurricane-killed trees of the same size were sampled within 10 meters. Data were summarized as basal area of each species in live and dead categories.

    We also estimated the elevation in feet above sea level, distance from the southern edge of the study area, and time since abandonment from anthropogenic disturbance (hereafter referred to as "Elevation", "Distance", and "Stand Age") for each transect. Elevation of the midpoint of each transect was interpolated from 5-foot contours on USGS topographic surveys. Stand Age was estimated on the basis of the appearance of the site on black and white aerial photos from 1985, 1971, 1959, 1940, and 1926, supplemented by reliable anecdotal information for several sites. Five stands that appeared undisturbed in all photos were assigned an age of 100 years. The presence of several cut stumps in a few of these forests indicated that they had not been entirely free of human impacts, but the level of removal did not appear extensive enough to have substantially altered overall species composition.

    Analytical Methods. --- The covariation of pre-hurricane Key Largo stand composition (i.e., living trees + hurricane-killed trees) with stand age, distance, and elevation was examined through canonical correspondence analysis (ter Braak 1986), using PC-ORD version 3.11 for Windows (McCune and Mefford 1995). Compositional data used in the analysis were relative basal areas of species that occurred in three or more of the 23 stands.

    Weighted averaging (WA) regression and calibration (WACALIB version 3.3; Line et al., 1994) were used to quantify the successional status of pre-hurricane and hurricane-killed tree assemblages in each sample plot. In WA regression, species optima are determined by abundance-weighted averaging in a calibration data set (i.e., 23 pre-hurricane assemblages) in which the environmental variable of interest (i.e., stand age) is known. Following Birks et al. (1990), we calculated the WA estimate for each species' Successional Age Optimum, or SAOk-hat, as:

 

and its tolerance (weighted standard deviation), or tk-hat, as:

where xi is the time since disturbance in stand i and yik is the relative abundance of species k in stand i (i = 1, ... n stands and k = 1, ... m tree species).

 

    In WA calibration, the environmental value of each site in the calibration data set is inferred from the weighted species optima, and the relationship of these scores with observed environmental values is used to further refine, or "deshrink", estimates for both the calibration and test data sets (i.e., 23 hurricane-killed assemblages). Deshrinking corrects for a systematic contraction in the range of inferred values (i.e, overestimates at the low end and underestimates at the high end of the environmental scale) that results from the double averaging associated with the above process (ter Braak and van Damm, 1989). The occurrence of inferred values outside the range of the calibration data set is a byproduct of all deshrinking procedures. We used classical deshrinking (ter Braak 1988), a method in which initial environmental predictions are adjusted on the basis of their linear regression on known values in the calibration set. Inferred stand ages (ISA's) for the calibration data set were calculated with and without weighting of species on the basis of tolerance. The logic for tolerance weighting is that species with narrow environmental tolerances may supply more information about site conditions than less exacting species, and therefore should be weighted more heavily. Following Birks et al. (1990) again, we calculated the unweighted site estimate, ISAk, as:

and the tolerance-weighted estimate, ISAk(tol), as:

 

    The predictive capacity of the unweighted and tolerance-weighted models were compared on the basis of the root mean square error (RMSE) of predicted and observed values generated by a bootstrapping procedure in WACALIB 3.3, described in Birks et al. (1990). The method which yielded a smaller RMSE was then used to calculate, for each site, separate Inferred Successional Ages on the basis of both pre-hurricane stand composition and the species composition of trees killed by Hurricane Andrew. The difference between the pre-hurricane and hurricane-killed ISA's was calculated for each stand, and the mean and 95% confidence interval of the differences calculated.

    The successional sequence revealed by the above analyses was further examined by characterizing individual species with respect to (a) leaf longevity, and (b) usual canopy position at maturity. We characterized species as deciduous or evergreen, depending on their tendency to experience a leafless period of any duration during the dry season. Classification was based on descriptions in Tomlinson (1986), supplemented by site- and species-specific data from Key Largo in 1991-92 (L. Flynn and M. Ross unpublished data). We characterized species as occupants of the canopy, midstory, or subcanopy based on structural data collected in hardwood hammocks throughout the Keys in 1989-91, and summarized in part in Ross et al. (1992).

 

Results

    Immediate effect of Hurricane Andrew on forest structure. --- For the study area as a whole, mean upland stand mortality resulting from Hurricane Andrew was 7.5% of pre-storm basal area, and 4.9% of pre-storm density. Mortality was concentrated among larger trees in most stands; in fifteen of the twenty-three stands, the average stand diameter (ASD: diameter of the tree of mean basal area; Daniel et al. 1979) of the assemblage of hurricane-killed trees was higher than the ASD of the pre-hurricane forest as a whole. However, the Wilcoxon signed rank test indicated that the probability of no difference in ASD between the pre-hurricane and hurricane-killed assemblages was about 9%, a non-significant result. On a basal area basis, bole breakage accounted for 71% of total hurricane mortality, uprooting for 27%, and other causes 2%. Finally, orientation of fallen trees in the Key Largo study area was primarily toward the northeast, indicating that the most damaging winds occurred during the trailing half of the storm, when winds were from the southwest.

    Species composition and successional affinities in pre-hurricane forests. --- Forty-two tree species were encountered in the 23 Key Largo transects. Axes 1 and 2 of the CCA analysis (eigenvalues 0.238 and 0.228, respectively) accounted for more than 25% of the total variance in the tree species data, while the third canonical axis explained only an additional 2%. The location variable Distance was strongly correlated with the standardized site scores on Axis 1 (r = 0.485), and Stand Age was strongly correlated with Axis 2 (r = 0.454). Elevation, the third environmental variable, was weakly correlated with all three canonical axes (r = 0.215). Stand Age was uncorrelated with the other two environmental variables, but Distance and Elevation were strongly correlated (r = -0.42) (Figure 2).

    Based on calculated Successional Age Optima, five Key Largo tree species exhibited an association with the early stages of stand development (Table 1). Except for Solanum bahamense, which occurred in only one stand, tolerances in this group approximated or exceeded the mean for all species (21.5 years). Their broad tolerances demonstrate that characteristic early-successional species in Key Largo forests persist for several decades or more after establishment. While both large and small trees are included in this group, all five species are characterized by a short leafless period during the dry South Florida spring (Table 1).

    Eighteen species had optima in stands 50-75 years old. Tolerances within this group ranged from wide to narrow. Among the latter, Eugenia foetida is a common subcanopy tree that appears to be a good indicator of intermediate developmental stages. The diverse group of mid-successional species is composed primarily of evergreen species, but its deciduous members (Swietenia mahogani, Ficus citrifolia, Metopium toxiferum, Piscidia piscipula, and Bursera simaruba) are very prominent in the upper levels of the forest canopy (Table 1).

    Twelve species were associated with later stages of stand development (Table 1). The four with the highest optima (Drypetes lateriflora, D. diversifolia, Calyptranthes pallens, and Simarouba glauca) all had relatively narrow tolerances, and therefore appeared to be excellent indicators of advanced stand age. The absence of deciduous species in this late-successional group is notable.

    Successional affinities of pre-hurricane v. hurricane-killed trees. --- Among the five species that suffered higher-than-average hurricane mortality, three were early-to-mid-successional trees of the upper forest canopy (Ficus citrifolia, Lysiloma bahamense, and Bumelia salicifolia), while two (Pithecellobium guadalupense and Amyris elemifera) were mid- and late-successional subcanopy species, respectively (Figure 3). Species exhibiting below-average mortality ranged broadly in their Successional Age Optima and canopy position.

    The unweighted WA model was superior to the tolerance-weighted model, based on a higher coefficient of determination for uncorrected predictions vs. observed ages in the calibration data set itself (R2 = 0.72 and 0.65, respectively), and on a lower root mean square error of prediction in the bootstrapped predictions (RMSE = 19.6 and 21.1 years, respectively). No evidence of systematic under- or over-estimation at stand age extremes was observed.

    WA estimates of Stand Age based on pre-hurricane species composition exceeded those based on hurricane-killed species in 16 of 23 cases, with a mean difference across all sites of +6.4 years (Figure 4). A paired T-test indicated that this difference was not significant at p = 0.05. However, the two youngest stands included in the above analysis had been abandoned only 14 years earlier, and their pre-hurricane composition was almost exclusively of pioneer species, with few mid- or late-successional trees. When these two stands were eliminated from the data set, the mean difference between estimates based on the two groups increased to +9.1 years, which was statistically different from zero. We take this result as a fairly strong indication that hurricane-induced mortality was concentrated among earlier-successional elements of the pre-hurricane stands.

 
Discussion

    Species replacement following catastrophic disturbance. --- Our study is the first to describe a successional sequence of species in Upper Florida Keys hardwood forests, and one of a very few to address long-term successional dynamics of dry Caribbean forest ecosystems. Using a chronosequence of five dry forest sites in the U. S. Virgin Islands, Ray and Brown (1995) inferred a tree species replacement series that extended for at least 150 years after release from intensive grazing activities. Our own data, derived from a time sequence of 23 Upper Florida Keys forests, likewise indicated a directional change in species composition that continued through most or all of the first century following the cessation of agricultural or other anthropogenic activities (Table 1). Relevant information from South Florida is also found in a series of papers documenting compositional change in a single mainland forest (Phillips 1940; Alexander 1967; Molnar 1990; Mack 1992). Between 1940 and 1986, some portions of the Castellow-Ross hammock were relatively unchanged in species composition, but in others, mortality among large trees (primarily Lysiloma bahamense) created large gaps that were colonized by a different set of tree species, including a number of exotic taxa (Molnar 1990).

    The Key Largo species replacement series contrasts with the sequence in recovering agricultural fields on rockplowed uplands on the South Florida mainland, where the exotic Brazilian pepper (Schinus terebinthifolius) achieves canopy dominance within 5-10 years after abandonment, and subsequently resists replacement by native hardwoods (Ewel et al. 1982). With the integration of the rockplow into mainland agricultural practices in the 1940's, a pulverized mineral soil was created on which S. terebinthifolius was apparently better-adapted than the native early-successional species. In contrast, agriculture in the Florida Keys never advanced beyond low-intensity practices that had relatively little effect on the underlying substrate. The non-agricultural purposes (residential, military, etc.) for which many of our more recent sites were cleared required scraping to bedrock, piling the scraped material, and perhaps burning it, but did not involve significant disruption to the rock substrate itself.

    In fact, the surfaces of many of our sites immediately after abandonment probably resembled those of South Florida pine rocklands after wildfire: a combination of exposed limestone bedrock, rock fragments of all sizes, mounds of coarse unconsolidated materials associated with old treefalls, and micro-karst features filled with organic-rich sediments. It is therefore not surprising that a number of species with optima during the early and intermediate stages of stand development in Key Largo hardwood forests also invade South Florida pine forests after fire, though establishment usually take several years or more. Of the species included in Table 1, Lysiloma bahamense, Metopium toxiferum, Bumelia salicifolia, Bursera simarouba, and Coccoloba diversifolia were reported to be early invaders of pine forests on Long Pine Key (Robertson 1955), and L. bahamense was identified as the most abundant of several tree species that replaced P. elliottii var densa in pine forest portions of the Castellow tract (Alexander 1967). Our own observations indicate that Guettarda scabra resprouts aggressively after fire in urban pine forest fragments in urban Miami-Dade County, and Piscidia piscipula is a common invader in pine forests of the Lower Florida Keys.

    For the most part, the first trees to capture disturbed uplands in the Upper Florida Keys are fast-growing deciduous species capable of surviving for several decades or more after establishment (Table 1). A few of these species --- most prominently Swietenia mahogani and Metopium toxiferum --- persist in low numbers in the upper levels of old stands. In general, however, late seral stages in Upper Keys forests are characterized by a suite of evergreen trees, most of which are not present even as seedlings during the early years of stand development. Swaine (1992) presented profile diagrams that showed a stratification between a deciduous upper canopy and an evergreen lower canopy in some Ghanaian dry forests, but did not describe their temporal development. However, Janzen (1986) noted an increase in evergreenness with time in several forest types in Guanacaste Province, northwestern Costa Rica. This wholesale transition from one functional group to another in the course of stand development suggests a distinct change in the underlying physical environment. In the Florida Keys, this change may involve forest soil development.

    Florida Keys hammock soils are predominantly organic, with a very minor mineral component (Coultas and Ross unpublished manuscript). As such, they are dynamic biogenic entities whose development is intertwined with that of the forest above. In the absence of human landclearing activities, both forest and soil development ends and begins with fire, which occurs infrequently, but can and often does consume virtually all organic material down to the limestone surface (Craighead 1981). During the time required for the species replacement sequence illustrated in Table 1 to take place, the barren, rocky post-disturbance surface becomes blanketed by a spongy, organic substrate of 10-20 cm depth. Thin as it is, such a soil provides markedly different seedbed conditions and enhanced rooting volume in comparison to the rockland substrate over which it formed, and is able to absorb several times its weight in water. Augmentation of soil moisture-holding capacity may be especially important for Key Largo hammock species, which generally acquire most of their water from surface sediments rather than deeper groundwater sources that may be brackish in quality (Ish-Shalom et al. 1992).

    We therefore suggest that the replacement of deciduous by evergreen species during stand development in the Florida Keys may reflect soil development through an increase in buffering from periodic moisture stress during the winter dry season. In tropical forests, the deciduous habit is considered to be a mechanism that minimizes transpirational water losses during periods of moisture stress (Reich and Borchert 1984; Murphy and Lugo 1986; Gerhardt and Hytteborn 1992; Olivares and Medina 1992; Borchert 1994). The association of deciduousness and moisture stress is further supported by studies of the distribution of deciduous and evergreen species along known moisture gradients (e.g., Kapos 1986; Reich and Borchert 1984; Swaine 1992; van Rompaey 1993). Given the arrangement of deciduous- and evergreen-dominated forests toward the dry and wet extremes, respectively, of spatial gradients in moisture availability throughout the tropics, one may reasonably expect to find these two morphologic strategies distributed similarly along a temporal moisture gradient associated with stand successional age and soil development.

    Hurricane mortality and forest succession. --- In this study we used an expression of species' positions along a temporal sequence initiated by one sort of disturbance, anthropogenic clearing, to assess community response to a second type of disturbance, i.e., a hurricane. To accomplish that objective, we employed a weighted averaging procedure more frequently employed in paleoecological studies (e.g., Birks et al., 1990; Gaiser et al., in press). In the paleoecologic context, time is generally a background variable, while the observed modern relationships of species to environmental variables (e.g., pH, hydroperiod, etc.) are used to reconstruct past environments on the basis of fossil assemblages. In our weighted averaging application, a retrospective analysis of the species-time relationship is the tool used to determine whether the two disturbance types differ in their effects on community dynamics.

    Our analyses indicated that species which responded most aggressively to anthropogenic clearing were the most negatively impacted by Hurricane Andrew, at least in terms of immediate damage. This pattern resembles that observed in a subtropical wet forest in Puerto Rico, where several pioneer tree species experienced the highest level of mortality and stem breakage resulting from Hurricane Hugo (1989). In the face of the substantial differences in climate, substrate, topography, species composition, and stand density between study areas, the similarity of results from Florida and Puerto Rico suggest that the vulnerability of early-successional species to immediate damage from hurricanes may be a general characteristic of tropical forests.

    Interpretation of forest succession based on chronosequence data must be carefully qualified, in part because the overall pattern across sites may be colored by site history factors as well as by stand development (Fastie 1995; Lichter 1998). In the current case, compositional patterns interpreted as community responses to anthropogenic clearing also incorporated species responses to subsequent hurricanes, as well as other events. Nevertheless, the two disturbance types appear to be opposite in their effect on species composition, i.e., anthropogenic disturbance initiating a long successional sequence beginning with a narrow set of predominantly deciduous species, and hurricane disturbance selectively removing these trees in favor of a different set of evergreen taxa.

    These responses may be better understood by considering the intensity and frequency of the two disturbance types during the evolutionary history of the Florida Keys. Disturbance intensity associated with hurricanes is variable within a forest; trees may be defoliated, snapped off, uprooted, killed or not affected, and soil disturbance is local. On average, major hurricanes recur at intervals of two to three decades throughout the Keys. In contrast, anthropogenic clearings are characterized by extensive soil disturbance and high tree mortality. Historically, anthropogenic clearings occurred on a large spatial scale (i.e., widespread clearings for agricultural or development purposes), but probably only occurred once during evolutionary history. The only natural disturbance in the upper Keys that also occurs with high intensity and at extremely low frequency is fire. Because of the humid microclimate, low wind speed, and absence of ignitable fuels that characterize Upper Keys hardwood hammocks, fire return interval under natural conditions is expected to be very long. Fires that do occur have profound effects on the ecosystem, typically consuming all of the organic soil and killing most trees (Robertson 1955).

    Based on the patterns described above, we suggest that hurricanes and anthropogenic clearing should have different selective consequences for plant species. Since hurricanes have a return time shorter than lifespans of many tree species, their occurrence should act as a selective pressure to increase the short-term fitness of species (sensu Harper 1977). We believe that this mechanism helps to explain the low hurricane-related mortality of later-successional tree species. These species evolved under conditions of frequent hurricanes, and may be abundant in older stands in part because of their adaptations to such events. Adaptations may involve responses during the post-hurricane period, or resistance to the storm itself. With respect to the latter, resistance to wind damage has been attributed by several authors to high wood density (Putz et al. 1983; Zimmerman et al. 1994). Published wood densities for most Key Largo trees are not available, but it would be interesting to know whether there is a positive relationship between wood specific gravity and species' Successional Age Optima.

    Late-successional tree species of the upper Florida Keys should be less likely to evolve life history characteristics in response to anthropogenic clearings or fires than to hurricanes. Adaptation to the extremely infrequent occurrence of such disturbances would likely decrease the short-term fitness of these species (Harper 1977). In our study, anthropogenic clearing resulted in a virtually complete replacement of tree species. The species that dominated the early years after clearing tended to be generalist pioneers on a broad range of uncolonized substrates. Many (e.g., Lysiloma bahamense, Metopium toxiferum, Bumelia salicifolia, Bursera simaruba, Coccoloba diversifolia) are among the first to colonize recently-burned areas in the upper Florida Keys (Ross unpublished data) and pine forests in Everglades National Park (Robertson 1955), and are also early colonizers of sandy berms on Florida Bay mangrove islands (Carrington unpublished data). Early-successional species like Bumelia salicifolia may be inherently short-lived and therefore susceptible to any agency of disturbance. Trees like Lysiloma bahamense or Ficus citrifolia may emerge substantially from the forest canopy, thereby exposing themselves to higher winds than their neighbors.

    The results reported above address only one element of community response to hurricanes. During the period of relative canopy openness following a hurricane, surviving trees and smaller stems may rapidly expand their canopies, and new individuals may became established (Horvitz et al. 1995). Opportunities for germination and establishment of most early-successional species are rare in undisturbed forests, and are largely confined to short intervals following hurricanes or other damaging storms. Even then, seedlings of these species are uncommon outside of large, multiple-tree gaps (Ross unpublished data). More comprehensive analysis of the role of windstorms in the longterm succession of tropical hardwood forests may be achievable through matrix model approaches (e.g., Pascarella and Horvitz 1998; Batista et al. 1998), but these transition models will need to include all stages in the hurricane recovery cycle.
 

Acknowledgements.

    This research was supported by funds from U. S. Fish and Wildlife Service (Wildlife Refuges of the Florida Keys) and the National Audubon Society. Logistical support was provided by personnel of the Crocodile Lakes National Wildlife Refuge and the Key Largo Hammocks State Botanical Area, especially Jon Andrew, Renate Skinner, and Jim Duquesnel. Guy Telesnicki, Wayne Hoffman, Lenoor Oosterhuis, and Joe O'Brien contributed in various aspects of the planning, field sampling, and data analysis. This is contribution number ** from the Southeast Environmental Research Center at FIU.

  


LITERATURE CITED
  Alexander, T. R. 1967. A tropical hammock on the Miami (Florida) limestone --- a twenty-five year study. Ecology 48(5): 863-867.

Batista, W. B., W. J. Platt, and R. E. Macchiavelli. 1998. Demography of a shade-tolerant tree (Fagus grandifolia) in a            hurricane-disturbed forest. Ecology 79 (1): 38-53.

Birks, H. J. B., J. M. Line, S. Juggins, A. C. Stevenson, and C. J. F. ter Braak. 1992. Diatoms and pH reconstruction. Philosophic Transactions of the Royal Society of London. B 327: 263-278.

Borchert, R. 1994. Soil and stem water storage determine phenology and distribution of tropical dry forest trees. Ecology 75(5): 1437-1449.

Bormann, F. H. and G. E. Likens. 1979. Pattern and process in a forested ecosystem: disturbance, development, and the steady state based on the Hubbard Brook ecosystem study. Springer-Verlag, New York. 253 pp.

Connell, J. H. and R. O. Slatyer. 1977. Mechanisms of succession in natural communities and their role in community stability and organization. American Naturalist 111: 1119-1144.

Craighead, F. C. Sr. 1981. Hammocks of South Florida. In P. J. Gleason (Ed.). The environments of South Florida, past and present. Vol. II. pp 53-60. The Miami Geological Society, Miami, FL.

Crow, T. R. 1980. A rain forest chronicle: a 30-year record of change in structure and composition at El Verde, Puerto Rico. Biotropica 12: 42-55.

Daniel, T. W., J. A. Helms, and F. S. Baker. 1979. Principles of silviculture. McGraw-Hill, New York. 500 pp.

Ewel, J. J., D. S. Ojima, D. A. Karl, and W. F. DeBusk. 1982. Schinus in successional ecosystems of Everglades National Park. National Park Service South Florida Research Center Report T-676. 141 pp.

Fastie, C. L. 1995. Causes and ecosystem consequences of multiple pathways of primary succession at Glacier Bay, Alaska. Ecology 76: 1899-1916.

Gaiser, E. E., T. E. Philippi, and B. E. Taylor. 1998. Distribution of diatoms among intermittent ponds on the Atlantic Coastal Plain: development of a model to predict drought periodicity from surface-sediment assemblages. Journal of Paleolimnology 20:71-90.

Gerhardt, K. and H. Hytteborn. 1992. Natural dynamics and regeneration methods in tropical dfry forests --- an introduction. Journal of Vegetation Science 3: 361-364.

Harper, J. L. 1977. Population biology of plants. Academic, London. 892 pp.

Hilsenbeck, C. E. 1976. A comparison of forest sampling methods in hammock vegetation. M. Sc. Thesis, University of Miami, Coral Gables, FL. 81 pp.

Holdridge, L. R. 1967. Life zone ecology. Tropical Science Center, San Jose, Costa Rica. 206 pp.

Horvitz, C. C., S. McMann, and A. Freedman. 1995. Exotics and hurricane damage in three hardwood hammocks in Dade County, Florida. Journal of Coastal Research (Special Issue) 18: 145-158.

Ish-Shalom, N., L. d. S. L. Sternberg, M. S. Ross, J. J. O'Brien, and L. J. Flynn. 1992. Water utilization of tropical hardwood hammocks of the Lower Florida Keys. Oecologia 92: 108-112.

Janzen, D. H. 1986. Guanacaste National Park: tropical ecological and cultural restoration. Editorial Universidad Estatal a Distancia. San Jose, Costa Rica. 99 pp.

Kapos, V. 1986. Dry limestone forests of Jamaica. In D. A. Thompson, P. K. Bretting, and M. Humphreys (Eds.). Forests of Jamaica, pp. 49-58. Jamaican Society of Scientists and Technologists, Kingston, Jamaica.

Lichter, J. 1998. Primary succession and forest development on coastal Lake Michigan sand dunes. Ecological Monographs 68 (4): 487-510.

Line, J. M., C. J. F. ter Braak, and H. J. B. Birks. 1994. WACALIB version 3.3 - a computer program to reconstruct environmental variables from fossil assemblages by weighted averaging and to derive sample-specific errors of prediction. Journal of Paleolimnology 10: 147-152.

Mack, A. L. 1992. Vegetation analysis of a hardwood hammock in Dade County, Florida: changes since 1940. Florida Scientist 55(4): 258-263.

McCune, B., and M. J. Mefford. 1995. PC-ORD. Multivariate analysis of ecological data, Version 2.0. MJM Software Design, Gleneden Beach, OR, USA.

Molnar, G. 1990. Successional dynamics of a tropical hardwood hammock on the Miami rockridge. M. Sc. thesis, Florida International University, Miami, FL. 197 p.

Murphy, P. G. and A. E. Lugo. 1986. Structure and biomass of a subtropical dry forest in Puerto Rico. Biotropica 18(2): 89-96.

Neumann, C. J., B. R. Jarvinen, and A. G. Pike. 1981. Tropical cylclones of the North Atlantic Ocean, 1871-1981. Historical Climatology Series 6-2, National Climatic Data Center, Asheville, NC. 174 pp.

Olivares, E. and E. Medina. 1992. Water and nutrient relations of woody perennials from tropical dry forests. Journal of Vegetation Science 3: 383-392.

Olmsted, I., H. Dunevitz, and W. J. Platt. 1993. Effects of freezes on tropical trees in Everglades National Park, Florida, USA. Tropical Ecology 34(1): 17-34.

Olmsted, I. C., L. L. Loope, and C. E. Hilsenbeck. 1980. Tropical hardwood hammocks of the interior of Everglades National Park and Big Cypress National Preserve. South Florida Research Center Report T-604. 58 pp.

Pascarella, J. B. and C. C. Horvitz. 1998. Hurricane disturbance and the population dynamics of a tropical understory shrub: megamatrix elasticity analysis. Ecology 79 (2): 547-563.

Phillips, W. S. 1940. A tropical hammock on the Miami (Florida) limestone. Ecology 21 (2): 166-174.

Powell, M. D. and S. H. Houston. 1996. Hurricane Andrew's landfall in South Florida. Part II: Surface wind fields and potential real-time applications. Weather and Forecasting 11(3): 329-349.

Putz, F. E., P. D. Coley, K. Lu, A. Montalvo, and A. Aiello. Uprooting and snapping of trees: structural determinants and ecological consequences. Canadian Journal of Forest Research 13: 1011-1020.

Ray, G. J. and B. Brown. 1995. The structure of five successional stands in a subtropical dry forest, St. John, U.S. Virgin Islands. Caribbaean Journal of Science 31: 212-222.

Reich, P. B. and R. Borchert. 1984. Water stress and tree phenology in a tropical dry forest in the lowlands of Costa Rica. Journal of Ecology 72: 61-74.

Robertson, W. B. Jr. 1955. An analysis of the breeding-bird populations of tropical Florida in relation to the vegetation. Ph. D. dissertation, University of Illinois, Urbana, IL. UMI Services, Ann Arbor, MI. 599 pp.

Ross, M. S., J. J. O'Brien, and L. J. Flynn. 1992. Ecological site classification of Florida Keys terrestrial habitats. Biotropica 24(4): 488-502.

Stout, I. J. and W. R. Marion. 1993. Pine flatwoods and xeric pine forests of the southern (lower) coastal plain. pp. 373-446 In: W. H. Martin, S. G. Boyce, and A. C. Echternacht, eds. Biodiversity of the southeastern United States: lowland terrestrial communities. Wiley, New York. 502 pp.

Swaine, M. D. 1992. Characteristics of dry forest in West Africa and the influence of fire. Journal of Vegetation Science 3: 365-374.

ter Braak, C. J. F. 1986. Canonical correspondence analysis: a new eigenvector technique for multivariate direct gradient analysis. Ecology 67: 1167-1179.

ter Braak, C. J. F. 1988. CANOCO - a FORTRAN program for canonical community ordination by [partial] [detrended] [canonical] correspondence analysis, principal components analysis and redundancy analysis. Version 2.1. Technical Report LWA-88-02, GLW, Wageningen. 95 pp.

ter Braak, C. J. F. and H. van Damm. 1989. Inferring pH from diatoms: a comparison of old and new calibration methods. Hydrobiologia 178: 209-223.

Tomlinson, P. B. 1986. The biology of trees native to tropical Florida. Harvard University, Allston, MA. 480 p.

Turner, M. G., V. H. Dale, and E. H. Everham III. 1997. Fires, hurricanes, and volcanoes: comparing large disturbances. Bioscience 47 (11): 758-768.

van Rompaey, R. S. A. R. 1993. Forest gradients in West Africa: a spatial gradient analysis. Doctoral thesis, Wageningen Agricultural University, The Netherlands. 142 pp.

Walter, H. 1985. Vegetation of the earth and ecological systems of the geo-biosphere. Springer-Verlag, New York, USA. 318 pp.

Whigham, D. F., I. Olmsted, E. C. Cano, and M. E. Harmon. 1991. The impact of Hurricane Gilbert on trees, litterfall, and woody debris in a dry tropical forest in the northeastern Yucatan Peninsula. Biotropica 23 (4a): 434-441.

Whitney, H. E. and W. C. Johnson. 1984. Ice storms and forest succession in southwestern Virginia. Bulletin of the Torrey Botanical Club 111: 429-437.

Veblen, T. T., K. S. Hadley, M. S. Reid, and A. J. Rebertus. 1991. The response of subalpine forests to spruce beetle outbreak in Colorado. Ecology 72: 213-231.

Zimmerman, J. K., E. M. Everham III, R. B. Waide, D. J. Lodge, C. M. Taylor, and N. V. L. Brokaw. 1994. Responses of tree species to hurricane winds in subtropical wet forest in Puerto Rico: implications for tropical tree life histories. Journal of Ecology 82: 911-922.