Investigating North American grassland biogeography throughout the Holocene

Doctor of PhilosophyDepartment of GeographyKendra K. McLauchlanThroughout the Holocene, North American grassland vegetation has shifted in composition and spatial extent. However, it has been difficult to characterize these changes because the drivers—particularly climate, fire, topography, or grazing from large herbivores—operate at different spatial and temporal scales. Long-term archives such as lacustrine sediment cores, and the proxy records they contain, can help illustrate vegetation changes on relevant timescales. Yet, accurate interpretations of grassland vegetation composition from pollen (a common proxy used to infer vegetation of the past) remain limited by the number of calibrations of pollen and the drivers of vegetation change in modern conditions. This research addresses those gaps by evaluating grassland vegetation at different spatial and temporal scales in the context of modern and historical drivers. First, I reconstruct vegetation composition and diversity, fire activity, and erosion activity at a sub-regional scale over the last 9,300 years by analyzing pollen, charcoal, and magnetic data from a sediment core from a grassland lake in southern Minnesota. Second, I quantify the relationships between modern grassland pollen and fire, grazing, and topography at a fine spatial and temporal resolution, using pollen samples collected annually from traps at Konza Prairie Biological Station in the Flint Hills of Kansas. Finally, I synthesize modern pollen assemblages across the Great Plains to create a transfer function that quantitatively links precipitation and temperature with pollen. I apply this function to pollen data from the past to interpret the climate history of three sites across the Great Plains, including the aforementioned site in southern Minnesota. The results from this research suggest that grassland vegetation diversity remained relatively resilient to the climatic fluctuations of the Holocene, including the driest time at 5,000 yr BP. In addition, this work facilitates more informed interpretations of fossil pollen by effectively calibrating modern grassland pollen assemblages with their abiotic and biotic drivers

Differences in forest composition following two periods of settlement by pre-Columbian Native Americans

Temperate broadleaf forests in eastern North America are diverse ecosystems whose vegetation composition has shifted over the last several millennia in response to climatic and human drivers. Yet, detailed records of long-term changes in vegetation composition and diversity in response to known periods of human activity, particularly multiple distinct periods of human activity at the same site, are still relatively sparse. In this study, we examine a sediment record from Avery Lake, Illinois, USA, using multiple metrics derived from pollen data to infer vegetation composition and diversity over the last 3,000 years. This 3,000-year history encompasses the Baumer (300 bce–300 ce) and Mississippian settlements (1150–1450 ce) at Kincaid Mounds (adjacent to Avery Lake), and captures differences in the impact that these groups had on vegetation composition. Both groups actively cleared the local landscape for settlement and horticultural/agricultural purposes. Given the persistence of fire-tolerant Quercus in conjunction with declines in other tree taxa, this clearing likely occurred through the use of fire. We also apply a self-organized mapping technique to the multivariate pollen assemblages to identify similarities and differences in vegetation composition across time. Those results suggest that the vegetation surrounding Avery Lake was compositionally similar before and after the Baumer settlement, but compositionally different after the Mississippian settlement. The end of the Mississippian settlement occurred simultaneously with a regional shift in moisture characterized by drier summers and wetter winters associated with the Little Ice Age (1250–1850 ce), which likely prevented this ecosystem from returning to its pre-Mississippian composition.This work was supported by an Indiana University Collaborative Research Grant and U.S. National Science Foundation Awards (EAR-1903628, SMA-1262530)

Late-Holocene floodplain development, land-use, and hydroclimate–flood relationships on the lower Ohio River, US

Floodplain development, land-use, and flooding on the lower Ohio River are investigated with a 3100-year-long sediment archive from Avery Lake, a swale lake on the Black Bottom floodplain in southern Illinois, US. In all, 12 radiocarbon dates show that Avery Lake formed at 1130 BCE (3100 cal. yr BP), almost 3000 years later than previously thought, indicating that the Black Bottom floodplain is younger and more dynamic than previously estimated. Three subsequent periods of extensive land clearance were identified by changes in pollen composition, corresponding to Native American occupations before 1500 CE and the current Euro-American occupation beginning in the 18th century. Sedimentation rates prior to 1820 CE changed independently of land clearance events, suggesting natural as opposed to land-use controls. Comparison with high-resolution paleoclimate data from Martin Lake, IN, indicates that lower Ohio River flooding was frequent when cold-season precipitation originating from the Pacific/Arctic predominated when atmospheric circulation resembled positive Pacific North American (PNA) conditions and the Pacific Decadal Oscillation (PDO) was in a positive mean state (1130 BCE to 350 CE and 1150–1820 CE). Conversely, Ohio River flooding was less frequent when warm-season precipitation from the Gulf of Mexico prevailed during negative PDO- and PNA-like mean states (350 and 1150 CE). This flood dynamic appears to have been fundamentally altered after 1820 CE. We suggest that extensive land clearance in the Ohio River watershed increased runoff and landscape erosion by reducing interception, infiltration, and evapotranspiration, thereby increasing flooding despite a shift to negative PDO- and PNA-like mean states. Predicted increases in average precipitation and extreme rainfall events across the mid-continental US are likely to perpetuate current trends toward more frequent flood events, because anthropogenic modifications have made the landscape less resilient to changing hydroclimatic conditions

Reconstructing grassland fire history using sedimentary charcoal: Considering count, size and shape

Citation: Leys, B. A., Commerford, J. L., & McLauchlan, K. K. (2017). Reconstructing grassland fire history using sedimentary charcoal: Considering count, size and shape. Plos One, 12(4), 15. doi:10.1371/journal.pone.0176445Fire is a key Earth system process, with 80% of annual fire activity taking place in grassland areas. However, past fire regimes in grassland systems have been difficult to quantify due to challenges in interpreting the charcoal signal in depositional environments. To improve reconstructions of grassland fire regimes, it is essential to assess two key traits: (1) charcoal count, and (2) charcoal shape. In this study, we quantified the number of charcoal pieces in 51 sediment samples of ponds in the Great Plains and tested its relevance as a proxy for the fire regime by examining 13 potential factors influencing charcoal count, including various fire regime components (e.g. the fire frequency, the area burned, and the fire season), vegetation cover and pollen assemblages, and climate variables. We also quantified the width to length (W: L) ratio of charcoal particles, to assess its utility as a proxy of fuel types in grassland environments by direct comparison with vegetation cover and pollen assemblages. Our first conclusion is that charcoal particles produced by grassland fires are smaller than those produced by forest fires. Thus, a mesh size of 120 mu m as used in forested environments is too large for grassland ecosystems. We recommend counting all charcoal particles over 60 mu m in grasslands and mixed grass-forest environments to increase the number of samples with useful data. Second, a W: L ratio of 0.5 or smaller appears to be an indicator for fuel types, when vegetation surrounding the site is before composed of at least 40% grassland vegetation. Third, the area burned within 1060m of the depositional environments explained both the count and the area of charcoal particles. Therefore, changes in charcoal count or charcoal area through time indicate a change in area burned. The fire regimes of grassland systems, including both human and climatic influences on fire behavior, can be characterized by long-term charcoal records

Calibrating vegetation cover and pollen assemblages in the Flint Hills of Kansas, U.S.A.

Master of ArtsDepartment of GeographyKendra K. McLauchlanThe quantitative relationship between pollen assemblages in sediment and vegetation cover is largely unknown because many factors influence this relationship. This lack of quantitative relationship is particularly acute in grassland regions, where both past and future climate change have the potential to determine grassland composition and cover. The tool used to reconstruct past grassland cover is the relative abundance of distinct fossil pollen types preserved in sediment. However, the interpretation of grassland pollen assemblages as grassland vegetation types needs to be refined to improve these reconstructions. Using pollen found in the surface sediments from 24 artificially-constructed ponds in the Flint Hills ecoregion of Kansas, USA, I examined relationships between pollen and vegetation in the tallgrass prairie biome, which includes woody components. By comparing the pollen data to field-surveyed vegetation data and land cover classifications taken from Kansas Gap Analysis Program data, I correlated pollen and vegetation in this ecoregion. Pollen productivity estimates for Artemisia, Ambrosia, Asteraceae, Chenopodiaceae, Cornus, Fabaceae, Juniperus, Maclura, Poaceae, Populus, Quercus, and Salix were calculated via the Extended R-Value Model. Common pollen types identified in sediments are mostly herbaceous grassland plant species such as Poaceae, Artemisia, and Ambrosia, but woody plants such as Populus, Quercus, and Juniperus are also represented. PPEs have been calculated for four of these taxa in Europe, and values from the Flint Hills are higher. These are the first PPEs reported for eight of these taxa. This research will further advance quantitative vegetation reconstructions in the Great Plains of North America and refine interpretations of how climate change affects grasslands

Calibrating vegetation cover and grassland pollen assemblages in the Flint Hills of Kansas, USA

Grassland cover and composition respond to climate and have undoubtedly changed during the Holocene, but quantitative reconstructions from fossil pollen have been vague about spatial scale and taxon-specific cover. Here, we estimate the relevant source area of pollen for sedimentary basins approximately 50 m in radius, and we report pollen productivity estimates for 12 plant taxa in the tallgrass prairies of central North America. Both relevant source area of pollen and pollen productivity estimates were calculated via the Extended R-Value Model. To obtain these estimates, we collected and quantified the pollen found in surface sediment samples from 24 ponds across the study area. Vegetation was surveyed in the field in a 100 m radius around each pond, and vegetation maps from the Kansas Gap Analysis Project (GAP) were used to a radius of 2 km. Pollen fall speeds were calculated according to Stoke’s Law. Pollen assemblages from basins approximately 50 m in radius have a relevant source area of 1060 m in this grassland landscape. Pollen productivity estimates range from 0.02 to over 30 among the 12 taxa: Artemisia, Ambrosia, Asteraceae, Chenopodiaceae, Cornus, Fabaceae, Juniperus, Maclura, Poaceae, Populus, Quercus, and Salix. Woody taxa generally have higher pollen productivity than herbaceous taxa (except for Chenopodiaceae and Ambrosia)

Random forest analyses of 13 explanatory factors at a 1060m buffer.

<p>Random forest results expressed in percentage of mean standard error (%MSE) of <b>A</b> the charcoal count (Char Count), and <b>B</b> the sum of the particles’ area per sample (Char Area). <b>C</b> For each random forest analysis, the partial plot of the factor explaining more than 5% of the variance.</p

Description of the study site.

<p><b>A</b>. Map of the 51 site locations, the grassland formations in the Great Plains. <b>B</b>, <b>C</b> and <b>D</b>. boxplots of the annual precipitation (in mm), the percentage of area burned, and the fire frequency (# of fires in ten years), respectively, of the three grassland types of the Great Plains (tallgrass, mixed grass and shortgrass prairies). Boxplots represent the mean (solid black line), first and third quartile (box limits), and 5^th and 95^th quantile of the data distribution.</p

Relationships among the width to length ratio (W:L ratio) of charcoal particles and the environmental parameters.

<p><b>A</b> Scatter plot between W:L ratio averaged by site and the proportion of Grassland and Shrubland on the landscape, within a 5000m buffer from the depositional environment. The line corresponds to a W:L ratio of 0.5. <b>B</b> Principal component analysis of the 15 most abundant pollen taxa present in the 51 surface sediment samples, the mean value of W:L ratio for each site (meanW:L), and the sum of area of particles for each site (sumCharArea). Amb.Art is the ratio of <i>Ambrosia</i> to <i>Artemisia</i> pollen, Chenop_Amaranth for Chenopodiaceae/Amaranthaceae pollen, and Aster_Undiff for undifferentiated species of Asteraceae pollen. Axis 1 explains 27% and axis 2 explains 13%. <b>C</b> the random forest analysis of the 13 explanatory factors of the W:L ratio within a 5000m buffer from the depositional environment, and the partial dependence plots for the factors explaining more than 5% of the variance. The y axes of the partial dependence plots correspond to the W:L ratio (unitless). AP/NAP for the ratio of arboreal pollen to non-arboreal pollen.</p