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Timing of Tree Density Increases, Influence of Climate Change, and a Land Use Proxy for Tree Density Increases in the Eastern United States

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  • Brice B. Hanberry

    (USDA Forest Service, Rocky Mountain Research Station, Rapid City, SD 57702, USA)

Abstract

Long-term observations inform relationships among changes in vegetation, climate, and land use. For the eastern United States, I compared the timing of tree change, comprised of density and diversity increases, with the timing of climate change, as measured by change point detection of the Palmer Modified Drought Index (PMDI) that accounts for water balance, in two prairie ecological provinces, four grassland landscapes, and four forest landscapes. Historical evidence supplied documentation of tree density increases between approximately 1860 and 1890 in the two prairie provinces of grasslands bordering eastern forests. Additionally, because timing of tree increases paralleled when land area reached ≥25% agricultural use, I categorized grassland and forest landscapes that increased to ≥25% agricultural area during 1860, 1880, 1900, and 1920. One change point detection method identified no significant PMDI change points during the 1800s. The other method found the southern prairie province, bordering eastern forests, had change points of 1855 and 1865 during an interval of relative dryness. Only two of four grassland landscapes, and one of four forest landscapes had change points, which occurred during relative dryness or were continuous with historical variation. Inconsistent changes in moisture availability did not provide correlations with comprehensive tree increases, but land use change corresponded with tree changes based on timing, magnitude and direction of change, and mechanism. The agricultural threshold may provide the critical missing component that allows progression in analysis of land use change effects on vegetation.

Suggested Citation

  • Brice B. Hanberry, 2021. "Timing of Tree Density Increases, Influence of Climate Change, and a Land Use Proxy for Tree Density Increases in the Eastern United States," Land, MDPI, vol. 10(11), pages 1-17, October.
  • Handle: RePEc:gam:jlands:v:10:y:2021:i:11:p:1121-:d:662468
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    References listed on IDEAS

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    1. Brice B. Hanberry, 2020. "Reclassifying the Wildland–Urban Interface Using Fire Occurrences for the United States," Land, MDPI, vol. 9(7), pages 1-12, July.
    2. Killick, Rebecca & Eckley, Idris A., 2014. "changepoint: An R Package for Changepoint Analysis," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 58(i03).
    3. Ross, Gordon J., 2015. "Parametric and Nonparametric Sequential Change Detection in R: The cpm Package," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 66(i03).
    4. Indumathi Srinath & Andrew C. Millington, 2016. "Evaluating the Potential of the Original Texas Land Survey for Mapping Historical Land and Vegetation Cover," Land, MDPI, vol. 5(1), pages 1-14, February.
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    Cited by:

    1. Yangjian Zhang & Li Wang & Quan Zhou & Feng Tang & Bo Zhang & Ni Huang & Biswajit Nath, 2022. "Continuous Change Detection and Classification—Spectral Trajectory Breakpoint Recognition for Forest Monitoring," Land, MDPI, vol. 11(4), pages 1-20, March.
    2. Brice B. Hanberry, 2022. "Climate Envelopes Do Not Reflect Tree Dynamics after Euro-American Settlement in Eastern North America," Land, MDPI, vol. 11(9), pages 1-12, September.

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