Current Standing of Longleaf Pine Trees under Climate Change
Source: By:Author(s)
DOI: https://doi.org/10.30564/jbr.v4i1.4350
Abstract:Climate change poses many risks to economically and ecologically crucial species. Longleaf pine (Pinus palustris Mill.) trees are keystone species that were once dominant across the southeastern United States, but now occupy less than 5% of their historic range and are thus classified as endangered. Here we review the current status and challenges facing longleaf pine trees, what is known on how changing climate will impact longleaf growth and reproduction, and gaps in the literature that are important to address. We found that many fundamental aspects of longleaf pine growth and reproduction are understood. However, these systems are complex, and not all is known about each factor that influences the relationship between climate, growth, and reproductive output. Additionally, long-term data sets capable of examining all relevant factors in these relationships do not currently exist. To fill necessary gaps, we recommend a joint approach between using readily available data sets and establishing new long-term monitoring plots targeted to collect data on missing or poorly understood conditions. This review provides a clue from an ecological complexity perspective to understand and manage longleaf pine forests under climate change.
References:[1] Martin, G., Devictor, B., Motard, E., Machon, N., Porcher, E., 2019. Short-term climate-induced change in French plant communities Biology Letters. 15(7), 2019028. [2] Thuiller, W., Lavorel, S., Araújo, M.B., Sykes, M.T., Prentice, I.C., 2005. Climate change threats to plant diversity in Europe. Proceedings of the National Academy of Sciences of the United States of America. 102(23), 8245-50. DOI: https://doi.org/10.1073/pnas.0409902102. [3] Iverson, L., McKenzie, D., 2013. Tree-species range shifts in a changing climate: detecting, modeling, assisting. Landscape Ecology. 28, 879-889. DOI: https://doi-org.aamu.idm.oclc.org/10.1007/s10980-013-9885-x [4] Allen, C., Breshears, D., McDowell, N., 2015. On underestimation of global vulnerability to tree mortality and forest die-off from hotter drought in the Anthropocene. Ecosphere. 6(8), 129. DOI: http://dx.doi.org/10.1890/ES15-00203.1 [5] Chen, X., Brockway, D., Guo, Q., 2020.Temporal patterns of pollen shedding for longleaf pine (Pinus palustris) at the Escambia Experimental Forest in Alabama, USA. Dendrobiology. 84, 30-38. [6] Mitchell, T., Knapp, P., Patterson., T., 2020. The importance of infrequent, high-intensity rainfall events for longleaf pine (Pinus palustris Mill.) radial growth and implications for dendroclimatic research. Trees, Forests and People. 1, 100009. DOI: https://doi.org/10.1016/j.tfp.2020.100009. [7] Bakkenes, M., Alkemade, J.R.M., Ihle, F., Leemans, R., Latour, J.B., 2002. Assessing effects of forecasted climate change on the diversity and distribution of European higher plants for 2050. Global Change Biology. 8, 90-407. DOI: https://doi.org/10.1046/j.1354-1013.2001.00467.x [8] Chen, X., Niu, J., 2020. Evaluating the Adaptation of Chinese Torreya Plantations to Climate Change. Atmosphere. 11(176). DOI: https://doi.org/10.3390/atmos11020176. [9] Copeheaver, C., Shumaker, K., Butcher, B., Hahn, G., Perkins, L., Dukes, C., Thompson, E., Pisaric, M., 2020. Dendroclimatology of sugar maple (Acer saccharum): Climate-growth response in a late-successional species. Dendrochronologia. 63. DOI: https://doi.org/10.1016/j.dendro.2020.125747. [10] Jump, A.S., Penuelas, J., 2005. Running to stand still: adaptation and the response of plants to rapid climate change. Ecology letters. 8(9). DOI: https://doi.org/10.1111/j.1461-0248.2005.00796.x [11] Vincent, H., Bornard, C., Kempel, A., Fischer, M., 2020. Rare species perform worse than widespread species under changed climate. Biological Conservation. 246. DOI: https://doi.org/10.1016/j.biocon.2020.108586. [12] Samuelson, L., Stokes, T., Ramirez, M., Mendonco, C., 2019. Drought tolerance of a Pinus palustris plantation. Forest Ecology and Management. 451. DOI: https://doi.org/10.1016/j.foreco.2019.117557. [13] Castillo, A., Goldfarb, B., Johnsen, K., Roberds, J., Nelson, C., 2018. Genetic variation in Water-Use Efficiency (WUE) and growth in mature longleaf pine. Forests. 9(11). DOI: https://doi.org/10.3390/f9110727. [14] Brandl, S., Paul, C., Knoke, T., Falk, W., 2020. The influence of climate and management on survival probability for Germany’s most important tree species. Forest Ecology and Management. 458. DOI: https://doi.org/10.1016/j.foreco.2019.117652. [15] Pretzsch, H., Biber, P., Schütze, G., Uhl, E., Rötzer,T., 2014. Forest stand growth dynamics in Central Europe have accelerated since 1870. Nature Communications. 5(4967). DOI: https://doi.org/10.1038/ncomms5967 [16] Vaz Monteiro, M., Levanič, T., Doick, K., 2017. Growth rates of common urban trees in five cities in Great Britain: A dendrochronological evaluation with an emphasis on the impact of climate. Urban Forestry & Urban Greening. 22, 11-23. DOI: https://doi.org/10.1016/j.ufug.2017.01.003. [17] Jose, S., Jokela, E., Miller, D., 2006. The Longleaf Pine Ecosystem. DOI: https://doi.org/10.1007/978-0-387-30687-2_1. [18] Samuelson, L., Stokes, T., Johnsen, K., 2012. Ecophysiological comparison of 50-year-old longleaf pine, slash pine and loblolly pine. Forest Ecology and Management. 274, 108-115. DOI: https://doi.org/10.1016/j.foreco.2012.02.017. [19] Burner, D., Dwyer, J., Godsey, L., 2011. Stocking rate mediates responses of mid-rotation loblolly pine in west-central Arkansas. Agroforestry Systems. 81, 287-293. DOI: https://doi-org.aamu.idm.oclc.org/10.1007/s10457-010-9326-7 [20] Susaeta, A., Gong, P., Adams, D., 2019. Implications of the reservation price strategy on the optimal harvest decision and production of nontimber goods in an even-aged forest stand. Canadian Journal of Forest Research. 50(3), 287-296. DOI: https://doi.org/10.1139/cjfr-2019-0213 [21] Oswalt, C., Cooper, J., Brockway, D., Brooks, H., Walker, J., Connor, K., Oswalt, S., Conner, R., 2012. History and current condition of longleaf pine in the Southern United States. Gen. Tech. Rep. Asheville, NC: U.S. Department of Agriculture Forest Service, Southern Research Station. pp. 51. [22] Oswalt, S., Smith, W., Miles, P., Pugh, S., 2014. Forest Resources of the United States, 2012: a technical document supporting the Forest Service 2010 update of the RPA Assessment. Gen. Tech. Rep. WO91. Washington, DC: US Department of Agriculture, Forest Service, Washington Office. 218, 91. [23] Noss, R., LaRoe, E., Scott, J., 1995. Endangered ecosystems of the United States: a preliminary assessment of loss and degradation. USDI National Biological Service, Biological Report 28, Washington DC. [24] Addington, R., Donovan, L., Mitchell, R., Vose, J., Pecot, S., Jack, S., Hacke, U., Sperry, J., Oren, R., 2006. Adjustments in hydraulic architecture of Pinus palustris maintain similar stomatal conductance in xeric and mesic habitats. Plant, Cell & Environment. 29, 535-545. DOI: https://doi.org/10.1111/j.1365-3040.2005.01430.x [25] South, D., 2006. Planting longleaf pine at Wide Spacings. Native Plants Journal. 7, 79-88. DOI: https://doi.org/10.2979/NPJ.2006.7.1.79. [26] Guo, Q., Brockway, D., Chen, X., 2017. Temperature-related sex allocation shifts in a recovering keystone species, Pinus palustris. Plant Ecology & Diversity. 10(4), 303-310. DOI: https://doi.org/10.1080/17550874.2017.1402968 [27] U.S. Fish and Wildlife Service, 2003. Recovery plan for the red-cockaded woodpecker (Picoides borealis): second revision. Atlanta, Georgia. pp. 296. [28] Swanteson-Franz, R., Krofcheck, D., Hurteau, M., 2018. Quantifying forest carbon dynamics as a function of tree species composition and management under projected climate. Ecosphere. 9(4). DOI: https://doi.org/10.1002/ecs2.2191 [29] Meldahl, R., Kush, J., Connor, K., 2006. Proceedings of the 13th biennial southern silvicultural research conference. Gen. Tech. Rep. SRS-92. Asheville, NC: U.S. Department of Agriculture, Forest Service, Southern Research Station. [30] Ma, W., Zhou, S., Liang, J., Zhou, M., 2019. Coastal Alaska forests under climate change: What to expect? Forest Ecology and Management. 448, 432-444. DOI: https://doi.org/10.1016/j.foreco.2019.06.030. [31] Prichard, S., Hessburg, P., Hagmann, K., Povak, N., Dobrowski, S., Hurteau, M., Kane, V., Keane, R., Kobziar, L., Kolden, C., North, C., Parks, S., Safford, H., Stevens, J., Yocom, L., Churchill, D., Gray, R., Huffman, D., Lake, F., Khatri-Chhetri, P., 2021. Adapting western North American forests to climate change and wildfires: 10 common questions. Ecological Applications. 31(8). DOI: https://doi.org/e02433.10.1002/eap.2433 [32] Seidl, R., Schelhaas, M.J., Rammer, W., et al., 2014 Increasing forest disturbances in Europe and their impact on carbon storage. Nature Climate Change. 4, 806-810. DOI: https://doi.org/10.1038/nclimate2318 [33] Rother, M., Huffman, J.M., Harley, G., Verkerk, P.J., 2018. Cambial Phenology Informs Tree-Ring Analysis of Fire Seasonality in Coastal Plain Pine Savannas. Fire Ecology. 14, 164-185. DOI: https://doi.org/10.4996/fireecology.140116418 [34] Stambaugh, M., Bigelow, S., Abadir, E., 2021. Linkages between forest growth, climate, and agricultural production are revealed through analysis of seasonally-partitioned longleaf pine (Pinus palustris Mill.) tree rings. Dendrochronologia. 65.DOI: https://doi.org/10.1016/j.dendro.2020.125801. [35] Boyer, W., 1990. Pinus palustris, Mill. longleaf pine. In: Silvics of North America, vol. 1. Eds. RM Burns, BH Honkala. USDA Forest Service, Washington DC. pp. 405-412. [36] Henderson, J., Grissino-Mayer, H., 2009. Climate-tree growth relationships of longleaf pine (Pinus palustris Mill.) in the Southeastern Coastal Plain, USA. Dendrochronologia. 27(1), 31-43. DOI: https://doi.org/10.1016/j.dendro.2008.08.001. [37] Soulé, P., Knapp, P., Maxwell, J., Mitchell, T., 2021. A comparison of the climate response of longleaf pine (Pinus palustris Mill.) trees among standardized measures of earlywood, latewood, adjusted latewood, and totalwood radial growth. Trees. 35, 1065-1074. DOI: https://doi-org.aamu.idm.oclc.org/10.1007/s00468-021-02093-z [38] Edvardsson, J., Almevik, G., Lindblad, L., Linderson, H., Melin, K.M., 2021. How Cultural Heritage Studies Based on Dendrochronology Can Be Improved through Two-Way Communication. Forests. 12(8), 1047. DOI: https://doi.org/10.3390/f12081047 [39] Lee, E.H., Wickham, C., Beedlow, P., Waschmann, R., Tingey, D., 2017. A likelihood-based time series modeling approach for application in dendrochronology to examine the growth-climate relations and forest disturbance history, Dendrochronologia. 45, 132- 144. DOI: https://doi.org/10.1016/j.dendro.2017.08.003. [40] Maxwell, J., Harley, G., Robeson, S., 2016. On the declining relationship between tree growth and climate in the Midwest United States: the fading drought signal. Climatic Change. 138, 127-142. DOI: https://doi.org/10.1007/s10584-016-1720-3 [41] Torbenson, M., Stahle, D., Villanueva-Díaz, J., Cook, E., Griffin, D., 2016. The Relationship Between Earlywood and Latewood Ring-Growth Across North America. Tree-Ring Research. 72, 53-66. DOI: https://doi.org/10.3959/1536-1098-72.02.53. [42] Ames, G., Vineyard, D., Anderson, D., Wright, J., 2015. Annual growth in longleaf (Pinus palustris) and pond pine (P. serotina) in the Sandhills of North Carolina is driven by interactions between fire and climate. Forest Ecology and Management. 340, 1-8. DOI: https://doi.org/10.1016/j.foreco.2014.12.020. [43] Loudermilk, E., Hiers, J., Pokswinski, S., O'Brien, J., Barnett, A., Mitchell, R., 2016. The path back: oaks (Quercus spp.) facilitate longleaf pine (Pinus palustris) seedling establishment in xeric sites. Ecosphere. 7(6). DOI: https://doi.org/10.1002/ecs2.1361 [44] Hart, J., O'Keefe, K., Augustine, S., McCulloh, K., 2020. Physiological responses of germinant Pinus palustris and P. taeda seedlings to water stress and the significance of the grass-stage. Forest Ecology and Management. DOI: https://doi.org/10.1016/j.foreco.2019.117647. [45] Prior, S., Runion, G., Mitchell, R., Rogers, H., Amthor, J., 1997. Effects of atmospheric CO2 on longleaf pine: productivity and allocation as influenced by nitrogen and water. Tree Physiology. 17(6), 397-405. DOI: https://doi.org/10.1093/treephys/17.6.397 [46] Jose, S., Merritt, S., Ramsey, C., 2003. Growth, nutrition, photosynthesis and transpiration responses of longleaf pine seedlings to light, water and nitrogen. Forest Ecology and Management. 180(1-3), 335-344. DOI: https://doi.org/10.1016/S0378-1127(02)00583-2. [47] Chen, X., Brockway, D., Guo, Q., 2018. Characterizing the dynamics of cone production for longleaf pine forests in the southeastern United States. Forest Ecology and Management. 429, 1-6. DOI: https://doi.org/10.1016/j.foreco.2018.06.014. [48] Guo, Q., Zarnoch, S., Chen, X., Brockway, D., 2016. Life cycle and masting of a recovering keystone indicator species under climate fluctuation. Ecosystem Health and Sustainability. 2(6). DOI: https://doi.org/10.1002/ehs2.1226 [49] Boyer, W., 1997. Long-term changes in flowering and cone production by longleaf pine. In: Proceedings of the ninth biennial southern silvicultural research conference. Asheville, NC: U.S. Department of Agriculture, Forest Service, Southern Research Station. [50] Chen, X., Guo, Q., Brockway, D., 2016. Analyzing the complexity of cone production in longleaf pine by multiscale entropy. Journal of Sustainable Forestry. 35(2), 172-182. DOI: https://doi.org/10.1080/10549811.2015.1135294 [51] Chen, X., Brockway, D., Guo., Q., 2020. Burstiness of Seed Production in Longleaf Pine and Chinese Torreya. Journal of Sustainable Forestry. DOI: https://doi.org/10.1080/10549811.2020.1746914 [52] Costanza, J., Terando, A., McKerrow, A., Collazo, J., 2015. Modeling climate change, urbanization, and fire effects on Pinus palustris ecosystems of the southeastern U.S. Journal of Environmental Management. 151, 186-199. DOI: https://doi.org/10.1016/j.jenvman.2014.12.032. [53] Haymes, K., Fox, G., 2012. Variation among individuals in cone production in Pinus palustris (Pinaceae).American Journal of Botany. 99, 640-645. DOI: https://doi-org.aamu.idm.oclc.org/10.3732/ajb.1100339 [54] Gallagher, M., Campbell, D., 2020. Pollinator visitation rate and effectiveness vary with flowering phenology. American Journal of Botany. 107(3), 445- 455. [55] Evans, E., Smith, C., Gendron, R., 1989. Timing of reproduction in a prairie legume: seasonal impacts of insects consuming flowers and seeds. Oecologia. 78, 220-230. DOI: https://doi.org/10.1007/BF00377159 [56] Panchen, Z., Johnston, M., 2018. Shifts in pollen release envelope differ between genera with non-uniform climate change. American Journal of Botany. 105(9), 1568-1576. [57] Akiko, S., Dave, K., 2021. Delayed fertilization facilitates flowering time diversity in Fagaceae. Philosophical Transactions of the Royal Society Biological Sciences. DOI: http://doi.org/10.1098/rstb.2021.0115 [58] Brockway, D., 2015. Longleaf Pine Cone Prospects for 2015 and 2016. [59] Chen, X., Guo, Q., Brockway, D., 2017. Power laws in cone production of longleaf pine across its native range in the United States. Sustainable Agriculture Research. 6(4), 64-73. [60] Chen, X., Brockway, D., Guo, Q., 2016. Entropy dynamics in cone production of longleaf pine forests in the southeastern United States. Mathematical and Computational Forestry & Natural-Resource Sciences. 8(2), 11-15. [61] Whelan, A., Starr, C., Staudhammer, H., Loescher, Mitchell, R., 2015. Effects of drought and prescribed fire on energy exchange in longleaf pine ecosystems. Ecosphere. 6(7), 128. DOI: http://dx.doi.org/10.1890/ES15-00111.1 [62] Johnsen, K., Creighton, J., Maier, C., 2015. Longleaf pine grown in Virginia: a provenance test. In Proceedings of the 17th biennial southern silvicultural research conference. Asheville, NC: U.S. Department of Agriculture, Forest Service, Southern Research Station. [63] Peters, V., Gelderman, M., Visscher, D., 2017. Resiliency in masting systems: Do evolved seed escape strategies benefit an endangered pine? Ecosphere. 8(9). DOI: https://doi.org/10.1002/ecs2.1928 [64] Solbreck, C., Knape, J., 2017. Seed production and predation in a changing climate: new roles for resource and seed predator feedback? Ecology. 98. DOI: https://doi.org/10.1002/ecy.1941 [65] Linhart, Y., Moreira, X., Snyder, M., Mooney, K., 2014. Variability in seed cone production and functional response of seed predators to seed cone availability: support for the predator satiation hypothesis. Journal of Ecology. 102, 576-583. DOI: https://doi.org/10.1111/1365-2745.12231 [66] Bogdziewicz, M., Marino, S., Bonal, R., Zwolak, R., Steele, M., 2018. Rapid aggregative and reproductive responses of weevils to masting of North American oaks counteract predator satiation. Ecology. 99. DOI: https://doi.org/10.1002/ecy.2510 [67] Espelta, J., Arias-LeClaire, H., Fernandez-Martınez, M., Doblas-Miranda, E., Munoz, A., Bonal, R., 2017. Beyond predator satiation: Masting but also the effects of rainfall stochasticity on weevils drive acorn predation. Ecosphere. 8(6). DOI: https://doi.org/10.1002/ecs2.1836 [68] Soler, R., Espelta, J., Lencinas, M., Peri, P., Pastur, G., 2017. Masting has different effects on seed predation by insects and birds in antarctic beech forests with no influence of forest management. Forest Ecology and Management. 400, 173-180. [69] Boyer, W., 1964. Longleaf seed losses to animals on burned seedbeds. Restoration Note SO-6. US Department of Agriculture Forest Service, Southern Forest Experiment Station, New Orleans, Louisiana. [70] Boyer, W., 1964. Longleaf pine seed predators in southwest Alabama. J. For. 62, 481-484. [71] Gemmer, E., 1928. Black ants as destroyers of longleaf pine seedlings. Naval Stores Rev. 38(7), 25. [72] Stephenson, G., Goodrum, P., Packard, R., 1963. Small rodents as consumers of pine seed in east Texas uplands. Journal of Forestry. 61, 523-526. [73] Willis, J., Schnake, D., Wetzstein, B., Yow, J., Guinto, D., Ulrich, S., DePerno, C., Lashley, M., 2019. Seed Depredation Negates the Benefits of Midstory Hardwood Removal on Longleaf Pine Seedling Establishment. Restoration Ecology. DOI: https://doi.org/10.1111/rec.12951 [74] Obeso, J., 2002. The costs of reproduction in plants. New Phytologist. 155, 321-348. DOI: https://doi-org.aamu.idm.oclc.org/10.1046/j.1469-8137.2002.00477.x [75] Reznick, D., 1985. Costs of Reproduction: An Evaluation of the Empirical Evidence. Oikos. 44(2), 257- 267. DOI: https://doi.org/10.2307/3544698 [76] Berdanier, A., Clark, J., 2016. Divergent reproductive allocation trade-offs with canopy exposure across tree species in temperate forests. Ecosphere. 7(6).DOI: https://doi.org/10.1002/ecs2.1313 [77] Liu, W., Pennings, S.C., 2019. Self-thinning and size-dependent flowering of the grass Spartina alterniflora across space and time. Functional Ecology. 33, 1830- 1841. DOI: https://doi-org.aamu.idm.oclc.org/10.1111/1365-2435.13384 [78] Wenk, E., Falster, D., 2015. Quantifying and understanding reproductive allocation schedules in plants. Ecology and Evolution. 5, 5521-5538. DOI: https://doi.org/10.1002/ece3.1802 [79] Lauder, J., Moran, E., Hart, S., 2019. Fight or flight? Potential tradeoffs between drought defense and reproduction in conifers. Tree Physiology. 39(7), 1071- 1085. DOI: https://doi-org.aamu.idm.oclc.org/10.1093/treephys/tpz031 [80] Merganičová, K., Merganič, J., Lehtonen, A., Vacchiano, G., Ostrogović Sever, M.Z., Augustynczik, A., Grote, R., Kyselová, I., Mäkelä, A., Yousefpour, R., Krejza, J., Collalti, A., Reyer, C., 2019. Forest carbon allocation modelling under climate change. Tree Physiology. 39(12), 1937-1960. DOI: https://doi-org.aamu.idm.oclc.org/10.1093/treephys/tpz105 [81] Patterson, T., Knapp, P., 2016. Stand Dynamics Influence Masting/Radial Growth Relationships in Pinus palustris Mill. Castanea. 81(4), 314-322. DOI: https://doi.org/10.2179/16-085 [82] Patterson, T., Knapp, P., 2018. Longleaf pine cone-radial growth relationships in the southeastern U.S.A. Dendrochronologia. 50, 134-141. DOI: https://doi.org/10.1016/j.dendro.2018.05.006. [83] Hoch, G., Richter, A., Korner, C., 2003. Non-structural carbon compounds in temperate forest trees. Plant, Cell & Environment. 26, 1067-1081. DOI: https://doi.org/10.1046/j.0016-8025.2003.01032.x [84] Keyes, C., Gonzalez, R.M., 2015. Climate-influenced ponderosa pine (Pinus ponderosa) seed masting trends in western Montana, USA. Forest Systems. 24(1). DOI: https://doi.org/10.5424/fs/2015241-05606.