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A dendroecological method to examine summertime soil-moisture changes: a case study from North Carolina, USA

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Use of co-occurring species with varying temporal sensitivities to summer soil moisture may be used as a diagnostic to determine summertime drought intensification or amelioration.

Abstract

The use of tree-ring data from co-occurring species with different summertime soil-moisture responses provides an opportunity to evaluate the occurrence and direction of soil-moisture changes. Here, we present a method that compares adjusted latewood growth between longleaf pine (Pinus palustris Mill.) and chestnut oak (Quercus prinus L.) from 1969 to 2018 in the Uwharrie Mountains of central North Carolina, USA. We found that adjusted latewood sensitivity to soil moisture varied between species with the strongest response in September PDSI for longleaf pine (r = 0.47), and July PDSI for chestnut oak (r = 0.61). Large (> 0.20 or < − 0.20) radial growth differences between species occurred during 22 years of the 50-year study period and were strongly correlated with PDSI differences (r = 0.74, p < 0.001), while the correlation with the whole dataset (r = 0.34, p < 0.05) was less sensitive. Major growth difference years were predominately negative (n = 17), suggesting that this method is more effective at detecting summers with decreasing soil moisture between mid and late summer. Overall, these results indicate that a differential response between species with dissimilar latewood formation periods may provide a means to examine potential intermonthly changes in summertime soil-moisture conditions as opposed to a single proxy value (e.g., anomalously dry, or wet) characterizing the entire summer.

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Availability of data and material

Tree-ring chronologies are available from the corresponding author upon request.

References

  • Bhuta AA, Kennedy LM, Pederson N (2009) Climate-radial growth relationships of northern latitudinal range margin longleaf pine (Pinus palustris P. Mill.) in the Atlantic coastal plain of southeastern Virginia. Tree-Ring Res 65(2):105–115

    Article  Google Scholar 

  • Boyer WD (1999) Longleaf pine: natural regeneration and management. Alabama’s Treasured Forests, Montgomery

    Google Scholar 

  • Clark SL, Schweitzer CJ (2016) Stand dynamics of an oak woodland forest and effects of a restoration treatment on forest health. For Ecol Manag 381:258–267

    Article  Google Scholar 

  • Cook ER, Holmes RL (1996) Guide for computer program ARSTAN. Int Tree-Ring Data Bank Program Libr Version 2(0):75–87

    Google Scholar 

  • Cook ER, Meko DM, Stahle DW, Cleaveland MK (1999) Drought reconstructions for the continental United States. J Clim 12(4):1145–1162

    Article  Google Scholar 

  • Dawson A, Austin D, Walker D, Appleton S, Gillanders BM, Griffin SM, Trouet V (2015) A tree-ring based reconstruction of early summer precipitation in southwestern Virginia (1750–1981). Clim Res 64(3):243–256

    Article  Google Scholar 

  • D’Orangeville L, Maxwell J, Kneeshaw D, Pederson N, Duchesne L, Logan T, Phillips RP (2018) Drought timing and local climate determine the sensitivity of eastern temperate forests to drought. Glob Change Biol 24(6):2339–2351

    Article  Google Scholar 

  • Durbin J, Watson GS (1951) Testing for serial correlation in least squares regression. II Biometrika 38:159–177

    Article  CAS  PubMed  Google Scholar 

  • Earle CJ (2014) Pinus palustris. The Gymnosperm Database. http://www.conifers.org/pi/Pinus_palustris.php Accessed 20 Feb 2022

  • Fekedulegn D, Hicks RR Jr, Colbert JJ (2003) Influence of topographic aspect, precipitation and drought on radial growth of four major tree species in an Appalachian watershed. For Ecol Manag 177(1–3):409–425

    Article  Google Scholar 

  • Ford TW, Labosier CF (2017) Meteorological conditions associated with the onset of flash drought in the Eastern United States. Agric for Meteorol 247:414–423

    Article  Google Scholar 

  • Foster TE, Brooks JR (2001) Long-term trends in growth of Pinus palustris and Pinus elliottii along a hydrological gradient in central Florida. Can J for Res 31(10):661–1670

    Article  Google Scholar 

  • Fritts HC (1976) Tree rings and climate. Academic Press, New York

    Google Scholar 

  • Frost CC (1993) Four centuries of changing landscape patterns in the longleaf pine ecosystem. Proc Tall Timbers Fire Ecol Conf 18:17–43

    Google Scholar 

  • Frost CC (2007) History and future of the longleaf pine ecosystem. The longleaf pine ecosystem. Springer, Berlin, pp 9–48

    Google Scholar 

  • Guay R (2012) WinDENDRO 2012: user’s guide. Regent Instruments. Inc., Quebec

    Google Scholar 

  • Hammond DH, Varner JM, Fan Z, Kush JS (2016) Long-term stand dynamics of old-growth mountain longleaf pine (Pinus palustris) woodlands. For Ecol Manag 364:154–164

    Article  Google Scholar 

  • Henderson JP, Grissino-Mayer HD (2009) Climate–tree growth relationships of longleaf pine (Pinus palustris Mill.) in the Southeastern Coastal Plain, USA. Dendrochronologia 27(1):31–43

    Article  Google Scholar 

  • Holmes RL (1983) Program COFECHA user’s manual. Laboratory of tree-ring research. The University of Arizona, Tucson

    Google Scholar 

  • International Union for Conservation of Nature (2022) World conservation congress. https://www.iucn.org/about/world-conservation-congress. Accessed 19 Feb 2022

  • Johnson SE, Abrams MD (2009) Age class, longevity and growth rate relationships: protracted growth increases in old trees in the eastern United States. Tree Physiol 29(11):1317–1328

    Article  PubMed  Google Scholar 

  • Jose S, Jokela EJ, Miller DL (2007) The longleaf pine ecosystem. The longleaf pine ecosystem. Springer, Berlin, pp 3–8

    Google Scholar 

  • Keyser TL, Brown PM (2016) Drought response of upland oak (Quercus L.) species in Appalachian hardwood forests of the southeastern USA. Ann for Sci 73(4):971–986

    Article  Google Scholar 

  • Knapp PA, Maxwell JT, Soulé PT (2016) Tropical cyclone rainfall variability in coastal North Carolina derived from longleaf pine (Pinus palustris Mill.): AD 1771–2014. Clim Change 135(2):311–323

    Article  CAS  Google Scholar 

  • Knapp PA, Soulé PT, Maxwell JT, Ortegren JT, Mitchell TJ (2020) Tropical cyclone precipitation regimes since 1750 and the Great Suppression of 1843–1876 along coastal North Carolina, USA. Int J Climatol 41(1):200–210

    Article  Google Scholar 

  • Kush JS, Meldahl RS, Avery C (2004) A restoration success: longleaf pine seedlings established in a fire-suppressed, old-growth stand. Ecol Restor 22(1):6–10

    Article  Google Scholar 

  • Lisonbee J, Woloszyn M, Skumanich M (2021) Making sense of flash drought: definitions, indicators, and where we go from here. J Appl Serv Climatol 1:1–19

  • Liu Y, Zhu Y, Ren L, Otkin J, Hunt ED, Yang X, Yuan F, Jian S (2020) Two different methods for flash drought identification: comparison of their strengths and limitations. J Hydrometeorol 21:691–704

    Article  Google Scholar 

  • Loehle C (1988) Tree life history strategies: the role of defenses. Can J for Res 18(2):209–222

    Article  Google Scholar 

  • Meko DM, Baisan CH (2001) Pilot study of latewood-width of conifers as an indicator of variability of summer rainfall in the North American monsoon region. Int J Climatol 21:697–708

    Article  Google Scholar 

  • Mitchell TJ, Patterson TW, Knapp PA (2019a) Comparison of climate—growth responses of montane and piedmont longleaf pine (Pinus palustris Mill.) chronologies in North Carolina. Trees 33(2):615–620

    Article  Google Scholar 

  • Mitchell TJ, Knapp PA, Patterson TW (2019b) Changes in southeastern USA summer precipitation event types using instrumental (1940–2018) and tree-ring (1790–2018) data. Environ Res Commun 1(11):111005

    Article  Google Scholar 

  • Mitchell TJ, Knapp PA, Ortegren JT (2019c) Tropical cyclone frequency inferred from intra-annual density fluctuations in longleaf pine in Florida, USA. Clim Res 78(3):249–259

    Article  Google Scholar 

  • Mitchell TJ, Knapp PA, Patterson TW (2020) The importance of infrequent, high-intensity rainfall events for longleaf pine (Pinus palustris Mill.) radial growth and implications for dendroclimatic research. Trees for People 1:100009

    Article  Google Scholar 

  • National Centers for Environmental Information (NCEI) (2022) www.ncei.noaa.gov/access. Accessed 12 Jan 2022

  • National Oceanic and Atmospheric Administration (NOAA) Climate at a Glance (2022) https://www.ncdc.noaa.gov/cag/divisional/map**/42/pdsi/191508/1. Accessed 12 Jan 2022

  • Osman M, Zaitchik BF, Badr HS, Otkin J, Zhong Y, Lorenz D, Holmes T (2022) Diagnostic classification of flash drought events reveals distinct classes of forcings and impacts. J Hydrometeorol 23(2):275–289

    Article  Google Scholar 

  • Oswalt CM, Cooper JA, Brockway DG, Brooks HW, Walker JL, Connor KF, Conner RC (2012) History and current condition of longleaf pine in the southern United States. General technical report-Southern Research Station, USDA Forest Service: 166

  • Otkin JA, Svoboda M, Hunt ED, Ford TW, Anderson MC, Hain C, Basara JB (2018) Flash droughts: A review and assessment of the challenges imposed by rapid onset droughts in the United States. Bull Am Meteorol Soc 99:911–919

    Article  Google Scholar 

  • Otkin JA, Zhong Y, Hunt ED, Basara J, Svoboda M, Anderson MC, Hain C (2019) Assessing the evolution of soil moisture and vegetation conditions during a flash drought–flash recovery sequence over the South-Central United States. J Hydrometeorol 20(3):549–562

    Article  Google Scholar 

  • Outcalt KW (2000) The longleaf pine ecosystem of the South. Native Plants J 1(1):42–53

    Article  Google Scholar 

  • Palmer WC (1965) Meteorological drought. US Department of Commerce, Weather Bureau: 30

  • Park SE, Seo D, Im KJ, Lee MI (2018) Prediction of drought on pentad scale using remote sensing data and MJO index through random forest over East Asia. Remote Sens 10:1–18

    Article  Google Scholar 

  • Patterson TW, Cummings LW, Knapp PA (2016) Longleaf pine (Pinus palustris Mill.) morphology and climate/growth responses along a physiographic gradient in North Carolina. Prof Geogr 68(2):238–248

    Article  Google Scholar 

  • Pederson N, Bell AR, Knight TA, Leland C, Malcomb N, Anchukaitis KJ, Riddle J (2012) A long-term perspective on a modern drought in the American Southeast. Environ Res Lett 7(1):014034

    Article  Google Scholar 

  • Pendergrass AG, Meehl GA, Pulwarty R, Hobbins M, Hoell A, AghaKouchak A, Woodhouse CA (2020) Flash droughts present a new challenge for subseasonal-to-seasonal prediction. Nat Clim Change 10(3):191–199

    Article  Google Scholar 

  • Peters AJ, Vina W-S, Hayes M, Svoboda MD (2002) Drought monitoring with NDVI-based Standardized Vegetation Index. Photogramm Eng Remote Sens 68:71–75

    Google Scholar 

  • Ruffner CM, Abrams MD (1998) Relating land-use history and climate to the dendroecology of a 326-year-old Quercus prinus talus slope forest. Can J for Res 28(3):347–358

    Article  Google Scholar 

  • Soil Survey Staff, Natural Resources Conservation Service (2022) Web soil survey. https://websoilsurvey.sc.egov.usda.gov/App/HomePage.htm. Accessed 3 May 2022

  • Soulé PT, Knapp PA, Maxwell JT, Mitchell TJ (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(3):1065–1074

    Article  Google Scholar 

  • Spalt KW, Reifsnyder WE (1962) Bark characteristics and fire resistance: a literature survey. Southern Forest Experiment Station: 193

  • Speer JH, Grissino-Mayer HD, Orvis KH, Greenberg CH (2009) Climate response of five oak species in the eastern deciduous forest of the southern Appalachian Mountains, USA. Can J for Res 39(3):507–518

    Article  Google Scholar 

  • Stahle DW, Cleaveland MK, Hehr JG (1985) A 450-year drought reconstruction for Arkansas, United States. Nature 316(6028):530–532

    Article  Google Scholar 

  • Stahle DW, Cleaveland MK, Hehr JG (1988) North Carolina climate changes reconstructed from tree rings: AD 372 to 1985. Science 240(4858):1517–1519

    Article  CAS  PubMed  Google Scholar 

  • Stahle DW, Cleaveland MK, Blanton DB, Therrell MD, Gay DA (1998) The lost colony and Jamestown droughts. Science 280(5363):564–567

    Article  CAS  PubMed  Google Scholar 

  • Svoboda M, LeComte D, Hayes M, Heim R, Gleason K, Angel J, Stephens S (2002) The drought monitor. Bull Am Meteorol Soc 83(8):1181–1190

    Article  Google Scholar 

  • Trenberth KE et al (2014) Global warming and changes in drought. Nat Clim Change 4:17–22

    Article  Google Scholar 

  • Wigley TM, Briffa KR, Jones PD (1984) On the average value of correlated time series, with applications in dendroclimatology and hydrometeorology. J Clim Appl Meteorol 23:201–213

    Article  Google Scholar 

  • Yuan X, Wang L, Wu P, Ji P, Sheffield J, Zhang M (2019) Anthropogenic shift towards higher risk of flash drought over China. Nat Commun 10(1):1–8

    Article  Google Scholar 

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Funding

The authors declare that no funds, grants, or other support were received during the preparation of this manuscript.

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Authors and Affiliations

  1. Carolina Tree-Ring Science Laboratory, Department of Geography, Environment, and Sustainability, University of North Carolina Greensboro, Greensboro, NC, 27412, USA

    Avery A. Catherwood, Tyler J. Mitchell & Paul A. Knapp

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  1. Avery A. Catherwood
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  2. Tyler J. Mitchell
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  3. Paul A. Knapp
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Contributions

All authors contributed to the study conception and design. Material preparation, data collection and analysis were performed by AAC, TJM, and PAK. The first draft of the manuscript was written by AAC, TJM, and PAK and all authors commented on previous versions of the manuscript. All authors read and approved the final manuscript.

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Correspondence to Avery A. Catherwood.

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Communicated by Jesus Julio.

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Catherwood, A.A., Mitchell, T.J. & Knapp, P.A. A dendroecological method to examine summertime soil-moisture changes: a case study from North Carolina, USA. Trees 37, 599–607 (2023). https://doi.org/10.1007/s00468-022-02353-6

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