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Article

Range-Wide Assessment of Recent Longleaf Pine (Pinus palustris Mill.) Area and Regeneration Trends

by
Kevin M. Potter
1,*,
Christopher M. Oswalt
2 and
James M. Guldin
3
1
USDA Forest Service—Southern Research Station, 3041 Cornwallis Road, Research Triangle Park, NC 27709, USA
2
USDA Forest Service—Southern Research Station, 4700 Old Kingston Pike, Knoxville, TN 37922, USA
3
USDA Forest Service—Southern Research Station, Springfield, MO 65804, USA
*
Author to whom correspondence should be addressed.
Forests 2024, 15(7), 1255; https://doi.org/10.3390/f15071255
Submission received: 16 May 2024 / Revised: 11 July 2024 / Accepted: 16 July 2024 / Published: 19 July 2024
(This article belongs to the Special Issue Longleaf Pine Ecology, Restoration, and Management)

Abstract

:
Longleaf pine (Pinus palustris Mill.) is a conifer historically associated with an open forest ecosystem that extended across much of the coastal plain of the Southeastern United States. It now exists mainly in isolated fragments following the conversion of forests and the long-term disruption of the low-intensity fire regime upon which the species depends. Recent decades have seen efforts to restore longleaf pine forests by government and private landowners. This was reflected in analyses of national forest inventory data during two time periods, ca. 2009–2015 and 2016–2021, that showed increases in the estimated number of longleaf pine trees, the area of the longleaf pine forest type, and the number and area of planted longleaf pine, along with growth in mean plot-level longleaf pine carbon and importance value. At the same time, we found a decrease in the overall forest area containing longleaf pine, manifested across a variety of other forest types. These results point to a dynamic through which forests dominated by longleaf pine are becoming more widespread via restoration, while forests in which the species is a less important component are transitioning to other forest types or land uses. We also detected a decrease over time in the estimated number of longleaf seedlings across most states and forest types and a decline in naturally regenerated longleaf pine. To further assess regeneration trends in longleaf pine, we calculated the estimated proportion of small trees (seedlings and saplings) for the entire species and for seed zone sub-populations. We found a species-wide decrease in the proportion of small trees, from 82.1 percent to 75.1 percent. This reduction was most pronounced along the edges of the species distribution and could indicate less sustainable levels of regeneration in some areas. These results underscore the challenges of facilitating natural regeneration in this important species.

1. Introduction

Longleaf pine (Pinus palustris Mill.) is strongly associated with a longleaf pine–grassland ecosystem that covered 23.1 million hectares in the Southeastern United States at the time of initial European settlement of the region; it was also an important component in another 14.2 million ha of mixed pine–oak forest [1]. Its distribution spans an arc from southeastern Virginia to east Texas, encompassing parts of the Atlantic Coastal Plain, the Gulf Coastal Plain, the Piedmont, and the Appalachian–Cumberland Highlands [2]. Across that area, it occurs on a wide variety of sites, ranging from poorly drained flatwoods to dry and rocky mountain ridges, and from just above sea level to about 600 m in the mountains of Alabama [3]. The high density of understory plant species in some longleaf pine savanna systems results in remarkably high biodiversity at small scales [4,5].
Only a small fraction of the original longleaf pine forest now remains, mostly in isolated fragments, following the long-term disruption of historical fire regimes, coupled with other anthropogenic factors including land conversion and overharvesting [6,7]. By the early 2000s, about 1.2 million ha of longleaf pine forests remained [8] along with about 380,000 ha of mixed longleaf pine–oak forests. Longleaf pine ecosystems were considered among the most threatened in North America [9] and the species itself was listed as endangered by the International Union for Conservation of Nature (IUCN) because of its ongoing replacement by other pine species outside protected areas [10]. Animal and plant species associated with the longleaf pine ecosystem have also declined, most notably the endangered red-cockaded woodpecker (Dryobates (formerly Picoides) borealis Vieillot), which nests in and forages on old longleaf pines [11,12].
Restoration and management of degraded longleaf pine woodland and savanna ecosystems has become a priority, particularly at a time of rapid environmental change and loss of habitat [7]. In 2007, several non-profit organizations and government agencies launched America’s Longleaf Restoration Initiative (ALRI) with the goal of increasing the area of longleaf forests while improving the condition of already existing forests and of the habitat for wildlife species associated with them [13]. The conservation plan, initially released in 2009 and recently revised to track progress through to 2040, aims to increase the area of longleaf pine forest types from 1.4 million ha to 3.2 million ha [14,15]. From 2010 to 2022, the ALRI reported the establishment of approximately 701,000 ha of longleaf pine forest in addition to the protection of 147,000 ha and the prescribed burning of 6,923,000 ha [15].
Analyses using Forest Inventory and Analysis (FIA) data from the United States Department of Agriculture (USDA) Forest Service have confirmed that efforts to restore the iconic longleaf pine forest type have been successful: an assessment of FIA data in 2020 [16] showed large increases in the number of longleaf pines in the 27.7 cm and smaller diameter classes and in the area of longleaf pine forest types in the 0–40 year age classes compared to a 2012 report [17]. The results indicate that a wave of ingrowth is heading toward larger size classes following efforts for more than a decade to establish and manage smaller size and age classes [16].
At the same time, evidence exists that forests of longleaf pine continue to be converted to agricultural use, to be replaced by planted stands of short-rotation loblolly pine (P. taeda L.), and to be removed from the expanding wildland–urban interface [16,18]. These pressures may be particularly intense in the forest types [3] in which longleaf pine is a minor component, some of which are likely to have been classified as the longleaf pine or the longleaf pine–oak forest types in the past before the suppression of frequent low- to moderate-intensity fires upon which longleaf pine ecosystems depend [6,19]. Such forests may represent important opportunities for longleaf pine restoration, but the extent of these forests and the ecological importance of longleaf pine in these forests may be declining. Areal trends of these other forest types containing longleaf pine have not been quantified recently, nor have trends in the importance of longleaf pine on plots of various forest types.
In addition to continuing efforts to plant longleaf pine on sites to which it is adapted but no longer present or where it is only a minor component, the success of longleaf pine restoration efforts will require adequate levels of natural regeneration by the species. Understanding the regeneration dynamics of longleaf pine, therefore, is essential for the long-term sustainability of longleaf pine forest ecosystems and the ecological services those forests provide, including as habitat for endangered flora and fauna [20]. Populations with a proportion of small trees below a regeneration threshold, that is, having a regeneration deficit [21], may be at risk of losing important adaptive genetic variation based on the idea that sustainable forest ecosystems have a balanced and stable size–structure relationship across broad scales, in which mortality and removals are offset by regeneration and growth [22]. The species currently may be experiencing declining levels of regeneration because of the extensive planting in recent decades of trees that are not yet reproductively mature. This information could form a baseline to assess future longleaf pine regeneration trends.
The objective of this study was to assess recent trends of the longleaf pine resource across the entirety of its distribution in the Southeastern United States. To that end, we used tree occurrence data from two time periods (generally 2009–2015 and 2016–2021, depending on the state), available through the FIA program, to test four longleaf pine-related hypotheses: (1) The recent emphasis on longleaf pine restoration has translated into an increase in the number of longleaf pine trees across the Southeastern United States in forest types dominated by the species but a decrease in its numbers in other forest types. (2) Forest types in which longleaf pine dominates have increased in area, while those in which it is a minor component have decreased. (3) The ecological importance and carbon content of longleaf pine has increased on plots in longleaf pine-dominant forest types but declined in those in which it is a minor component. (4) The large number of recently planted trees, coupled with the ongoing mortality and removals of large trees, coincides with a decline in natural regeneration across the distribution of the species.

2. Materials and Methods

2.1. Data

Longleaf pine data were collected from an equal-probability sample network of forest plots maintained by the Forest Inventory and Analysis (FIA) program of the USDA Forest Service. Each of these plot locations is selected at random within a 2428 ha hexagon from a national hexagonal sampling framework to ensure spatial balance; field crews visit plot locations in forest land use, defined as having ≥10% tree canopy cover (or evidence of previous canopy cover) that is ≥0.4 ha in area and at least 37 m wide [23]. Plot locations in the Eastern United States are typically visited every 5–7 years in discrete evaluation periods that differ from state to state. For our study, we analyzed data from two evaluation periods (generally 2009–2015 and 2016–2021, depending on the state) for each of the nine Southeastern states in which longleaf pine naturally occurs (Table 1). The first evaluation period encompassed 1868 plots with longleaf pine, while the second period encompassed 2042 (Figure 1). The difference in the number of plots between measurement periods is attributable to changes in where longleaf pine was growing, differences in which plots were accessible to field crews (some private landowners may allow access to plot locations during one measurement period but not another), and increases in sampling intensity during one measurement period (including an intensification of plot measurements for National Forests in Mississippi during the second measurement period). The statistical design of the plot network accounts for these differences when assigning expansion factors to each plot condition. (See Section 2.2 on count and areal estimates).
FIA plots encompass four 7.32-m radius circular subplots that are arranged at the vertices and center of a triangle [23,24] (Figure 2). On the subplots, field crews record the species, diameter, and height of every live tree with a diameter at breast height (DBH) of ≥12.7 cm. Smaller trees are inventoried on a single 2.07-m radius microplot located in each subplot. This includes sapling-sized trees (DBH ≥ 2.54 cm and <12.7 cm), which are recorded individually, and seedlings (woody stems with a DBH < 2.54 cm and a height ≥ 30.48 cm if a hardwood, or a height of ≥15.24 cm if a conifer), which are tallied by species [23].

2.2. Count and Areal Estimates

Population-level estimates of forest area with longleaf pine were possible using “expansion factors” assigned to each condition (e.g., forest type or ownership) on a plot and enabled by the FIA statistical design [23,24]. Summing these scaling factors across all the conditions in a population (such as an ownership group) resulted in an estimate of the total area in that population. We specifically estimated, for our two evaluation periods, (1) the area of forest containing longleaf pine trees and saplings, (2) longleaf pine seedlings, and (3) stems of any size, all by forest type, state, ownership group, and stand origin (natural versus planted). Forest type is a key assessment category because forest types are the focus of many silvicultural, management, and monitoring decisions. The state is important for quantifying geographical differences in longleaf pine extent and importance. The ownership group is important for assessing the outcomes of differing management strategies and approaches. Stand origin is important for quantifying the relative importance of natural versus artificial regeneration.
Similarly, the FIA statistical design allows for estimates of the number of longleaf pine trees in a sampled area by summing the scaling factors associated with each tree within statistical populations. We estimated, again for the two evaluation periods, the number of live and dead trees and saplings as well as live seedlings by forest type, state, ownership group, and stand origin. In both sets of analyses, we focused on two forest types in which longleaf pine is a dominant species (longleaf pine and longleaf pine–oak), two in which it is an associate species (sand pine [P. clausa (Chapm. ex Engelm.) Sarg.] and slash pine [P. elliottii Engelm.), and one that frequently develops on areas formerly occupied by longleaf pine (Southern scrub oak) [23].

2.3. Plot-Level Analyses

We tested the null hypothesis that there was no significant difference in longleaf pine plot-level importance value and carbon between the two measurement periods for each forest type, state, ownership group, and stand origin. We used non-parametric Kruskal–Wallis tests using the NPAR1WAY procedure in SAS 9.4 [25], which generated p-values via 10,000 Monte Carlo iterations. This set of analyses was limited to the plots on which there was at least one longleaf pine tree with a DBH ≥ 2.54 cm (1754 for the first evaluation period and 1914 for the second) because of the requirements for calculating the importance value (IV) and carbon. The IV is a measure of community dominance that encompasses the number and size of trees of a species of interest (or group of species) within a community [26]. This was calculated in our study for longleaf pine as the mean percentage of the species’ relative abundance and relative basal area on a plot (both scaled to a per-hectare estimate) compared to the per-hectare abundance and basal area of all species on the plot. The per-hectare estimate of longleaf pine C was calculated using FIA’s aboveground dry biomass estimates for each stem with DBH ≥ 2.54 cm [27,28]. We converted pounds of biomass to metric tons per hectare of C. (C is equivalent to 0.5 of biomass).
We additionally tested whether significant correlations existed between county mean plot–level change in longleaf pine IV and C and the county means of a suite of topographic and geographic variables encompassing latitude, longitude, elevation, slope, stand age, and aspect (cosine- and sine-transformed to generate continuous variables that reflect the “northness” and “eastness” of plot aspects, respectively). Each of these was calculated using the plot observations within the county; counties with fewer than five FIA plots were excluded (n = 120 counties). We calculated Spearman’s correlation coefficients because of the non-normality of the data.

2.4. Regeneration within Seed Zones

Finally, we applied a regeneration deficit indicator for the two evaluation periods to assess where across the distribution of longleaf pine the species may be experiencing insufficient regeneration [21]. This indicator combines FIA tree occurrence data and climatically and edaphically defined provisional seed zones, geographic areas in which plant materials can be transferred with relatively little risk of being poorly adapted to their new location [29,30]. Because these provisional seed zones are determined using important environmental factors, they may be associated with adaptive genetic differentiation within species and can be used to divide a species into areas with presumably similar adaptive genetic variation. We specifically used a set of provisional seed transfer zones based on minimum temperature and aridity [31] that intersected with USDA Forest Service ecoregions [32] to account for edaphic factors.
For our two evaluation periods, both for the entire longleaf pine distribution and for each provisional seed zone containing at least five FIA longleaf plots, we divided the estimated total number of stems into large (trees ≥ 12.7 cm) and small (saplings and seedlings combined, DBH < 12.7 cm) diameter classes. We then determined the proportion of stems that fall into the small diameter class, with an assumption that populations with less than 75 percent small stems are more vulnerable to the loss of genetic variation [21]. This somewhat arbitrary threshold is informed by the negative exponential or rotated sigmoid diameter distributions expected in balanced uneven-aged forests at the stand level [33,34]. We applied this concept of stand-level balance to aggregated uneven- and even-aged stands at the landscape scale, at which tree diameters are expected to exhibit a negative exponential distribution through the averaging of multiple uneven- and even-age stands of different ages [22,33].

3. Results

3.1. Count and Areal Estimates

The estimated area of any forest containing longleaf pine decreased slightly between the two evaluation periods (~280,000 ha), while the area of the longleaf pine forest type, where longleaf pine is dominant, increased by approximately 275,000 ha (Table 2). The area of all other forest types containing longleaf pine decreased, as did the area of the longleaf pine forest type containing seedlings of the species. As a result, the percentage of forest with longleaf that was specifically in the longleaf pine forest type grew from 32.1 percent to 42.8 percent between the two evaluation periods. Most states (except Georgia, North Carolina, Texas, and Virginia) experienced a decrease in the area of forest with longleaf pine, with the greatest decreases in Louisiana and Florida. Mississippi and Texas were the only states with increases in the area of forest with longleaf pine seedlings. The area of USDA Forest Service ownership of forest containing longleaf pine decreased by about 69,000 ha, while the area in other federal and state/local ownership increased. Privately owned forest with longleaf pine decreased by almost 282,000 ha. At the same time, the share of forest with longleaf pine that was specifically in the longleaf pine forest type increased for each ownership type (Table S1): from 41.1 percent to 48.8 percent for the Forest Service land; from 40.1 percent to 44.3 percent for other federal land; from 41.4 percent to 42.4 percent for state and local land; and from 27.9 percent to 40.0 percent for private property. Meanwhile, the area of forest with longleaf pine seedlings decreased across all ownerships (Table 2). The area of forest with planted longleaf pine grew by approximately 392,000 ha, with the percentage of planted forest nearly doubling from 12.4 percent to 23.9 percent. Meanwhile, the area of forest with naturally regenerated longleaf decreased by about 671,000 ha.
The estimated number of live longleaf pine trees increased by about 227 million between the two evaluation periods, while the number of estimated seedlings decreased by about 111 million (Table 3). The longleaf pine forest type saw a marked increase in the number of stems (~251 million) while the longleaf pine–oak forest type experienced a ~38 million decrease in longleaf trees. Nearly all forest types, except for the sand pine and slash pine types, experienced a decrease in longleaf seedlings. The number of longleaf trees increased in every state except Louisiana, where there were an estimated ~16 million fewer. The largest increases were in South Carolina (~54 million), Alabama (~53 million), and Georgia (~47 million). The number of seedlings increased only in Florida, Mississippi, and Georgia. Longleaf tree numbers increased across ownerships, with the largest increase on private land (~176 million). Seedling numbers decreased on private and Forest Service land but increased on other federal and state/local ownerships. The number of planted trees grew by ~270 million while the number of planted seedlings grew by ~42 million, while the number of naturally regenerated trees and seedlings both declined over time.

3.2. Plot-Level Analyses

We detected a significant increase over time in mean IV (from 30.7 to 38.0) and C content (2.20 to 3.11 metric tons per hectare) on the plots on which the species occurred (Table 4). The increase in longleaf pine importance value extended only to the longleaf pine and the slash pine forest types, and to the “other” forest type category. The longleaf pine C content also increased on “other” forest type plots. Not surprisingly, the longleaf IV on plots in the longleaf pine forest type was at least twice that of any other forest type, followed by the longleaf pine–oak forest type. Longleaf pine C was highest in these two forest types as well. Mean plot-level longleaf IV increased significantly in several states: Florida, Georgia, Mississippi, North Carolina, and South Carolina. The same states, except North Carolina and Louisiana, experienced a significant increase in mean plot-level longleaf C. The IV was highest on plots in South Carolina, Florida, North Carolina, and Georgia. The C was highest in Louisiana, Mississippi, South Carolina, and North Carolina. Private ownership was the only ownership group with a significant increase in IV, while private and Forest Service land experienced significant increases in C. Mean IV and C were highest on Forest Service and other federally managed plots. Both naturally regenerated and planted stands had a significant increase in C but only naturally regenerated plots had a significant IV increase.
We additionally found statistically significant correlations between the county-level mean plot change in longleaf pine IV and the mean plot elevation, and between the county-level mean plot change in C per hectare and the mean plot latitude (Table 5).

3.3. Regeneration within Seed Zones

In the earlier evaluation period (ca. 2009–2015), 82.1 percent of longleaf pine stems across the distribution of the species were small trees (1,414,765,724 seedlings and saplings). This decreased to 75.1 percent in the second evaluation period (1,380,113,624 small trees in ca. 2016–2021). The mean plot-level percent of small trees also decreased over time, from 35.8 percent (SD: 44.2) to 32.3 percent (SD: 42.3). The majority of seed zones (six of nine with five or more plots) in the earlier evaluation period had greater than 80 percent small trees and only one had less than 70 percent but only one (the furthest north) exceeded the 80 percent threshold in the second period while five had less than 70 percent (Figure 3). The mean percent of small trees across seed zones decreased from 81.0 percent (SD: 11.2) to 65.4 percent (SD: 13.4). The seed zones averaged a 13.3-percent decrease in small trees, with one zone occurring in northern Alabama and Georgia and south-central North Carolina experiencing a 29.2-percent decrease and another in peninsular Florida experiencing a 17.1-percent decrease.

4. Discussion

Longleaf pine is a species of high conservation concern throughout much of the Southeastern United States, where widespread restoration efforts in recent years have focused on expanding the extent of longleaf pine forest [15]. While recent research has established that these efforts have successfully increased the area of forest types in which longleaf pine dominates, longleaf pine areal trends in other forest types have not been thoroughly investigated. Similarly, we do not have a solid understanding of change over time in longleaf pine numbers and importance across these different forest types. Finally, it is important to monitor regeneration trends across and within the distribution of the species to assess and predict the long-term success of restoration efforts.
Our evaluation of forest inventory data from two time periods (ca. 2009–2015 and 2016–2021) confirms that both the estimated number of longleaf pine trees and the area of the longleaf pine forest type have increased. These trends are consistent with recent analyses of FIA data from slightly different years [16,17]. While the number of trees has increased in recent decades, from approximately 849 million to 1.076 billion by our estimates, the recent estimate is about 14 percent less than the 1.251 billion estimate for 1970 [17]. Still, this is a positive development and suggests the timeliness of updating the IUCN’s assessment of longleaf pine as having a decreasing population trend and a continuing decline in mature individuals [10]. The increasing number of planted longleaf pine trees and the growing area of planted longleaf forests are also positive developments.
Meanwhile, the areas of all other major forest types containing longleaf pine have decreased, resulting in an overall decline in the area of forest (of any type) occupied by longleaf pine. The number of longleaf pines has also decreased in several forest types. These results, coupled with the increase in the longleaf pine forest type area, suggest a dynamic through which forests dominated by longleaf pine are becoming more widespread, while the extent declines of forests in which longleaf pine is a less important component. One possible driver of this dynamic is that some forests of the longleaf pine–oak type have been converted to the longleaf pine type through silvicultural tools such as prescribed burning, reproduction cutting or thinning, and release treatments to allow longleaf pine to return to dominance, as described by Guldin [35]. At the same time, other longleaf pine–oak forests have undergone a transition to hardwood dominance as a result of active or passive management that has reduced the longleaf component [16]. Additionally, forests such as those in the longleaf pine–oak type may be more likely than those of the longleaf pine forest type to be converted to either short-rotation loblolly pine plantations or to agricultural use. In at least some cases, these forests were dominated by longleaf pine in the past before changes in land management, especially the suppression of frequent low-intensity fires. As such, they may be preferable sites for longleaf pine reforestation given that America’s Longleaf Restoration Initiative conservation plan calls for the restoration of longleaf forests from suitable sites currently in other forest types [14,15]. The decline of longleaf pine in these other forest types suggests that the window of opportunity to expand the longleaf forest type footprint via the restoration of forests with a minor longleaf overstory component may be narrowing.
The importance of longleaf pine has shown statistically significant growth over time on plots across the species’ distribution in five of nine states and in the longleaf pine forest type, findings which are in keeping with previous work [36]. This trend was not detected, however, in most other forest types. Again, this result emphasizes the dynamic through which longleaf pine is increasing its dominance in the longleaf pine forest type but not in other forest types. (The importance of longleaf pine in fact declined on plots in the longleaf pine–oak forest type but the change was not statistically significant.)
We additionally detected a decrease in the number of longleaf seedlings across the species distribution and in most states and forest types, as well as declines in the number and area of naturally regenerated longleaf pine. Assessing the proportion of small trees (seedlings and saplings) as a further indicator of regeneration trends, we found a species-wide decrease from 82.1 percent to 75.1 percent, with the decline most pronounced along the edges of the species extent. In other words, both the number of seedlings and the proportion of small trees are decreasing despite the increase in longleaf pine trees and the area of the longleaf pine forest type. The decline in longleaf pine seedlings, as well as a decrease in forest encompassing seedlings, is consistent across forest types, including the longleaf pine forest type. An important factor in the longleaf pine forest type may be the development of stands less than 40 years old [17], in which natural regeneration is likely suppressed during the stem exclusion stage of stand development [37]. Longleaf pine seedling growth is greatly reduced when the stand basal area exceeds 9 m2 per ha, and their survival is impacted when it is greater than 17 m2 per ha [38].
In other forest types, the declining regeneration we found may reflect longleaf pine’s inability to compete in the understory with other species, such as oaks and shrubs, in the absence of fire [38]. Meanwhile, in recently planted stands of the longleaf pine forest type, it is possible that many of the planted trees have not yet reached reproductive maturity, which is estimated at age 20 [39] or 30 [40]. Other factors, such as tree size, stand density, site quality, and genetics also affect the production of cones by individual longleaf pine trees, with the best cone producers being those that are open-grown, dominant trees with large crowns and a DBH of at least 38 inches [40]. At the stand level, seed production for dominant and codominant trees of cone-bearing size reaches its peak at longleaf pine basal areas of 6.9 to 9.2 m2 per ha [41]. Recently, an increase in longleaf pine regeneration at broad scales was found to be associated with an increase in the proportion of longleaf basal area on FIA plots [20]. Another factor that may be contributing to the declining regeneration of longleaf pine is the cyclical nature of its cone production [42], with large cone crops typically occurring episodically, with regional synchrony, every five to seven years [39]. The successful regeneration of seed produced by such “bumper crops” may largely depend on the availability of appropriate stand conditions. Croker, for example, found that longleaf pine advanced regeneration benefitted from the interaction between a large longleaf seed crop and the well-timed removal of most of the overstory, similar to a shelterwood harvest following reproduction [43]. For our study, the more recent evaluation period (ca. 2016–2021) may not have corresponded as well as the previous period (ca. 2009–2015) with a longleaf pine masting event. Additionally, little natural regeneration is expected to occur in fully stocked mature stands that exceed basal areas of 9 m2 per ha.
Longleaf pine natural regeneration is difficult for several reasons, including poor seed production, slow seedling growth, and low seedling survival [44]. Historically, longleaf pine forests were multi-aged with even-aged cohorts regenerating in small patches formed by the mortality of canopy trees [19], a structure now existing only in the presence of frequent fires [38]. Replicating this structure in planted stands is complicated and takes time. It requires effective competition control and seedbed preparation, which are achieved most efficiently in mixed-aged stands with the use of controlled burning [45]. Silvicultural research indicates that uneven-aged management approaches, including single-tree or group selection and variable density thinning, may establish conditions suitable for natural regeneration and canopy recruitment in longleaf pine stands [46,47]. A three-cut shelterwood system also has been proposed as a way to develop larger longleaf pine crowns and increase seed production [40,48]. Such management strategies that foster and maintain structural heterogeneity in longleaf pine stands have the added benefit of potentially increasing their resilience to disturbance events [36].
Our broad-scale regeneration indicator—changes in the proportion of small trees (seedlings and saplings) compared to all stems of the species—reflects the general relationship that exists between sustainability and small tree density [34,49]. It assumes that the existence of fewer smaller trees is an indication of less successful regeneration and increased vulnerability to the loss of genetic diversity within parts of the species distribution where regeneration has declined the most [21]. While this may not be the case for all tree species, it seems reasonable to expect that those with balanced and stable size–structure relationships are more likely to have sustainable levels of regeneration [21]. For longleaf pine, the existence of a range of stand structures with abundant younger cohorts across broad scales is likely to increase both the sustainability of the species and its associated forest ecosystems [36]. Importantly, the abundant overstory of longleaf pine trees provides opportunities to restore, improve, and expand longleaf pine forests [20], which will contribute to the health, diversity, productivity, and sustainability of southern forest ecosystems [35]. There is considerable uncertainty, however, about the degree to which adequate natural regeneration of the species will occur given the challenges associated with it, including its reliance on the dynamics of periodic large seed crops and overstory conditions [43] as well as fires [38]. Our assessment of the proportion of small trees in longleaf pine included both naturally regenerated and planted seedlings and saplings. It will be important to continue monitoring the proportion of small trees planted across the distribution of the species, information that will guide our understanding of the degree to which a balanced and stable size–structure relationship across broad scales may depend on human intervention.

5. Conclusions

Using standardized tree occurrence data from two recent evaluation periods across the Southeastern United States, we found that the number of longleaf pine trees has increased in the longleaf pine forest type, while the estimate of the abundance of longleaf trees in other forest types has decreased. Similarly, the area of the longleaf pine forest type has increased as the area of other forest types containing longleaf pine has declined. These findings indicate that restoration efforts have resulted in more forests dominated by longleaf pine, while forest in which the species is a less important component are likely transitioning to other forest types or land uses. At the same time, we found that the mean importance value and carbon content of longleaf pine increased over time across the plots on which the species was inventoried, with significant increases in several states. Finally, we detected a decrease over time in the estimated number of longleaf seedlings across most states and forest types. Our application of a regeneration deficit indicator demonstrated a species-wide decrease in the proportion of small trees (seedlings and saplings together), which was most pronounced along the edges of the species distribution and could indicate less sustainable levels of regeneration in some areas. These findings underscore the challenges associated with facilitating natural regeneration in longleaf pine.

Supplementary Materials

The following supporting information is available online at https://www.mdpi.com/article/10.3390/f15071255/s1, Table S1: Estimates of forest area, in hectares, and percentages by forest type within ownership groups, for the ca. 2009–2015 and 2016–2021 evaluation periods, and changes between the evaluation periods, from Forest Inventory and Analysis (FIA) data.

Author Contributions

K.M.P. conceived the ideas and wrote the manuscript with assistance from J.M.G., K.M.P. and C.M.O. developed the methodology. All authors participated equally in the review and revision. All authors have read and agreed to the published version of the manuscript.

Funding

This research received no external funding.

Data Availability Statement

The data presented in this study are available on request from the corresponding author. FIA data are additionally available at https://www.fs.usda.gov/research/programs/fia (accessed 15 March 2024).

Acknowledgments

The authors thank the efforts of the Forest Inventory and Analysis (FIA) field crew members who collected the data used in this study.

Conflicts of Interest

The authors declare no conflicts of interest.

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Figure 1. Forest Inventory and Analysis (FIA) plots containing longleaf pine (Pinus palustris Mill.) (approximate locations), inventoried from ca. 2009 to 2015 and 2016 to 2021. Also depicted are the species distribution and the boundaries of National Forests within the Southeastern United States.
Figure 1. Forest Inventory and Analysis (FIA) plots containing longleaf pine (Pinus palustris Mill.) (approximate locations), inventoried from ca. 2009 to 2015 and 2016 to 2021. Also depicted are the species distribution and the boundaries of National Forests within the Southeastern United States.
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Figure 2. Forest Inventory and Analysis (FIA) plot design, as described in [23].
Figure 2. Forest Inventory and Analysis (FIA) plot design, as described in [23].
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Figure 3. Percent of estimated longleaf pine (Pinus palustris Mill.) stems that are small trees (seedlings and saplings, diameter < 12.7 cm), by provisional seed zone, from Forest Inventory and Analysis (FIA) data collected (A) ca. 2009–2015, and (B) ca. 2016–2021.
Figure 3. Percent of estimated longleaf pine (Pinus palustris Mill.) stems that are small trees (seedlings and saplings, diameter < 12.7 cm), by provisional seed zone, from Forest Inventory and Analysis (FIA) data collected (A) ca. 2009–2015, and (B) ca. 2016–2021.
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Table 1. The first and second evaluation periods, and number of plots containing longleaf pine (Pinus palustris Mill.) for each, collected by state by the Forest Inventory and Analysis (FIA) program.
Table 1. The first and second evaluation periods, and number of plots containing longleaf pine (Pinus palustris Mill.) for each, collected by state by the Forest Inventory and Analysis (FIA) program.
First EvaluationSecond Evaluation
StateYearsPlotsYearsPlots
Alabama2006–20143452015–2022360
Florida2009–20134812014–2019539
Georgia2010–20143002015–2021326
Louisiana2001–20101332011–201991
Mississippi2009–20151842016–2021289
North Carolina2009–20151412016–2021152
South Carolina2012–20162462017–2021229
Texas2004–2014382015–202154
Virginia2012–201602017–20212
Table 2. Estimates of forest area, in hectares, with longleaf pine (Pinus palustris Mill.) trees, longleaf pine seedlings, or any longleaf pine, by forest type, state, ownership group, and natural versus having clear evidence of artificial regeneration for the ca. 2009–2015 and 2016–2021 evaluation periods from Forest Inventory and Analysis (FIA) data.
Table 2. Estimates of forest area, in hectares, with longleaf pine (Pinus palustris Mill.) trees, longleaf pine seedlings, or any longleaf pine, by forest type, state, ownership group, and natural versus having clear evidence of artificial regeneration for the ca. 2009–2015 and 2016–2021 evaluation periods from Forest Inventory and Analysis (FIA) data.
Forest w. Longleaf TreesForest w. Longleaf SeedlingsForest w. Any Longleaf
2009–20152016–2021Diff.2009–20152016–2021Diff.2009–20152016–2021Diff.
Total3,732,8703,452,281(280,590)1,016,689790,995(225,693)3,989,3443,710,503(278,841)
Forest type
Longleaf pine1,201,8301,477,531275,700493,504389,222(104,282)1,279,5331,554,154274,621
Longleaf pine–oak358,715290,847(67,868)155,551104,673(50,877)387,048327,579(59,468)
Sand pine41,58935,039(6550)40566730267345,64536,891(8754)
Slash pine446,880360,578(86,302)63,84243,658(20,184)459,717382,643(77,075)
Southern scrub oak150,33087,927(62,402)54,21942,860(11,358)160,551100,488(60,063)
Other1,533,5261,200,359(333,167)245,517203,852(41,664)1,656,8501,308,749(348,101)
State
Alabama681,425659,739(21,686)231,877161,951(69,925)738,019724,822(13,197)
Florida1,008,431924,504(83,927)284,826234,970(49,856)1,069,826978,683(91,143)
Georgia584,017593,6899672155,262154,966(296)636,731661,44424,713
Louisiana296,713187,512(109,201)60,22716,619(43,608)316,838193,736(123,102)
Mississippi389,163332,238(56,925)46,60957,57510,966403,439343,578(59,861)
North Carolina266,733280,36313,63076,44259,117(17,325)284,584299,73215,148
South Carolina427,519389,986(37,533)151,45591,606(59,849)460,403418,747(41,655)
Texas78,86880,0751207999114,190419979,50485,5886084
Virginia-41744174----41744174
Ownership
US Forest Service556,980499,569(57,410)132,62788,180(44,447)578,899509,493(69,406)
Other federal325,055365,41340,358121,692114,445(7,247)354,075379,12525,051
State/local314,843347,94033,09798,95383,973(14,980)324,162371,17447,013
Private2,535,9922,239,358(296,635)663,416504,396(159,020)2,732,2092,450,711(281,498)
Stand origin
Planted372,417733,348360,931265,707298,00732,300495,985887,675391,690
Natural3,360,4532,718,932(641,521)750,982492,988(257,994)3,493,3592,822,829(670,530)
Table 3. Estimates of live longleaf pine (Pinus palustris Mill.) trees and seedlings, by forest type, state, ownership group, and natural versus having clear evidence of artificial regeneration for tde ca. 2009–2015 and 2016–2021 evaluation periods from Forest Inventory and Analysis (FIA) data.
Table 3. Estimates of live longleaf pine (Pinus palustris Mill.) trees and seedlings, by forest type, state, ownership group, and natural versus having clear evidence of artificial regeneration for tde ca. 2009–2015 and 2016–2021 evaluation periods from Forest Inventory and Analysis (FIA) data.
Longleaf Pine TreesLongleaf Pine Seedlings
2009–20152016–2021Diff.2009–20152016–2021Diff.
Total849,365,8381,076,035,524226,669,686873,738,658762,597,568(111,141,090)
Forest type
Longleaf pine587,763,975838,628,811250,864,836513,204,378466,011,442(47,192,936)
Longleaf pine–oak106,566,71168,643,383(37,923,328)150,363,604111,686,978(38,676,626)
Sand pine3,890,0536,166,5822,276,529894,6343,545,6992,651,065
Slash pine33,980,13431,035,931(2,944,203)51,368,33651,635,537267,201
Soutdern scrub oak13,900,98410,055,168(3,845,816)35,120,16029,846,280(5,273,880)
Otder103,263,982121,505,65018,241,668122,787,54699,871,632(22,915,914)
State
Alabama173,281,807226,563,83753,282,030252,174,168145,826,710(106,347,458)
Florida210,628,965252,874,09142,245,126241,042,409304,188,10863,145,699
Georgia128,540,953175,635,12947,094,17694,323,502114,678,56320,355,061
Louisiana46,201,82230,459,653(15,742,169)37,495,0178,931,903(28,563,114)
Mississippi60,265,21071,499,71311,234,50321,044,58752,919,28531,874,698
Nortd Carolina74,856,17397,142,34322,286,17071,913,36741,093,302(30,820,065)
Soutd Carolina143,780,505197,722,99553,942,490139,051,21287,416,243(51,634,969)
Texas12,138,54520,074,5627,936,01716,694,3967,543,454(9,150,942)
Virginia-4,063,2004,063,200---
Ownership
US Forest Service105,633,731116,763,99811,130,267112,043,17862,706,090(49,337,088)
Otder federal71,138,68798,333,27527,194,588116,812,765211,470,05394,657,288
State/local89,923,705102,341,33112,417,62699,139,226133,866,45534,727,229
Private582,669,715758,596,919175,927,204545,743,488354,554,970(191,188,518)
Stand origin
Planted224,744,876494,323,030269,578,154192,371,057234,457,88442,086,827
Natural624,620,963581,712,493(42,908,470)681,367,600528,139,684(153,227,916)
Table 4. Mean and standard errors of Forest Inventory and Analysis (FIA) plot-level measures of longleaf pine (Pinus palustris Mill.) importance value (IV) and carbon for tde ca. 2009–2015 and 2016–2021 evaluation periods by forest type, state, ownership group, and natural versus having clear evidence of artificial regeneration. Values are in bold when tdey are significantly different between evaluation periods at p ≤ 0.05 based on Kruskal–Wallis tests of group differences.
Table 4. Mean and standard errors of Forest Inventory and Analysis (FIA) plot-level measures of longleaf pine (Pinus palustris Mill.) importance value (IV) and carbon for tde ca. 2009–2015 and 2016–2021 evaluation periods by forest type, state, ownership group, and natural versus having clear evidence of artificial regeneration. Values are in bold when tdey are significantly different between evaluation periods at p ≤ 0.05 based on Kruskal–Wallis tests of group differences.
Importance Value (IV)C Tonnes/ha
Plots2009–20152016–20212009–20152016–2021
2009–20152016–2021MeanSEMeanSEMeanSEMeanSE
All1754191430.70.738.00.82.200.073.110.08
Forest type
Longleaf pine52074562.41.365.91.14.380.175.260.16
Longleaf pine–oak15113636.42.033.12.01.950.112.290.15
Sand pine18179.41.613.92.70.590.200.700.22
Slash pine20921514.91.117.81.11.440.131.830.13
Soutdern scrub oak654522.02.822.43.50.630.090.980.17
Otder79175614.00.718.50.81.170.061.680.09
State
Alabama31932827.61.632.91.82.280.152.850.18
Florida47651236.71.642.51.51.950.122.570.13
Georgia27529231.41.939.62.11.960.142.510.17
Louisiana1308926.92.731.43.43.080.374.190.53
Mississippi18828119.61.833.31.92.010.234.110.26
Nortd Carolina13114232.32.840.32.82.830.303.450.33
Soutd Carolina19821633.92.242.62.42.220.233.580.26
Texas375219.13.826.14.01.950.443.310.66
Virginia02- 65.834.2- 0.660.34
Ownership group
US Forest Service24847737.82.241.31.53.630.264.620.21
Otder federal14416240.22.744.52.63.200.283.370.28
State/local14415741.22.941.22.72.480.212.920.26
Private1218111826.80.835.11.01.750.072.540.09
Stand origin
Planted15831364.72.665.31.92.280.263.190.20
Natural1596160127.30.732.60.82.190.073.090.09
Table 5. Spearman’s correlations of county mean plot-level changes in longleaf pine (Pinus palustris Mill.) importance value (IV) and metric tons of carbon per hectare (C/ha) witd county plot mean latitude, longitude, elevation, slope, stand age, and aspect (transformed to generate continuous variables tdat reflect aspect “nortdness” and “eastness”). Counties witd fewer tdan five FIA plots were excluded (n = 120 counties). p-values ≤ 0.05 are in bold.
Table 5. Spearman’s correlations of county mean plot-level changes in longleaf pine (Pinus palustris Mill.) importance value (IV) and metric tons of carbon per hectare (C/ha) witd county plot mean latitude, longitude, elevation, slope, stand age, and aspect (transformed to generate continuous variables tdat reflect aspect “nortdness” and “eastness”). Counties witd fewer tdan five FIA plots were excluded (n = 120 counties). p-values ≤ 0.05 are in bold.
Mean Plot-Level Change
IVC/ha
Latitude0.1440.189
Longitude0.0890.039
Elevation0.1830.103
Slope0.0700.135
Aspect (nortdness)0.0550.077
Aspect (eastness)−0.0390.125
Stand age−0.1200.124
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Potter, K.M.; Oswalt, C.M.; Guldin, J.M. Range-Wide Assessment of Recent Longleaf Pine (Pinus palustris Mill.) Area and Regeneration Trends. Forests 2024, 15, 1255. https://doi.org/10.3390/f15071255

AMA Style

Potter KM, Oswalt CM, Guldin JM. Range-Wide Assessment of Recent Longleaf Pine (Pinus palustris Mill.) Area and Regeneration Trends. Forests. 2024; 15(7):1255. https://doi.org/10.3390/f15071255

Chicago/Turabian Style

Potter, Kevin M., Christopher M. Oswalt, and James M. Guldin. 2024. "Range-Wide Assessment of Recent Longleaf Pine (Pinus palustris Mill.) Area and Regeneration Trends" Forests 15, no. 7: 1255. https://doi.org/10.3390/f15071255

APA Style

Potter, K. M., Oswalt, C. M., & Guldin, J. M. (2024). Range-Wide Assessment of Recent Longleaf Pine (Pinus palustris Mill.) Area and Regeneration Trends. Forests, 15(7), 1255. https://doi.org/10.3390/f15071255

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