Estimates of abundance are critical to manage and conserve waterfowl and their habitats. Most surveys of wintering waterfowl do not use probability sampling; therefore, development of more rigorous methods is needed. In response, I designed and evaluated an aerial transect survey to estimate abundance of wintering ducks in western Mississippi during winters 2002?2004. I designed a probability-based survey using stratified random and unequal probability sampling of fixed-width transects. To correct for visibility bias inherent in aerial surveys, I conducted an experiment to model bias and incorporated correction factors into estimation procedures to produce adjusted estimates. Bias-corrected estimates were most accurate. Precision of abundance estimates of total ducks met a priori goals (CV ≤ 15%) in 10 of 14 surveys. Based on a simulation study, the implemented survey design provided the most precise estimates, yet certain refinements remained possible. I also illustrated potential applications of survey results in the context of conservation and management of wintering waterfowl populations and habitats. I described patterns of abundance within and among winters, including a comparison with surveys conducted during winters 1988?1990 that revealed mallard abundance decreased 65% from the late 1980s. I developed a method to illustrate population abundance spatially for scientific and public education. I attempted to explain temporal variation in abundance estimates relative to variables potentially representing hypotheses explaining regional distributions of ducks. I concluded the data provided stronger support for factors related to energy conservation by ducks than factors related to energy acquisition. Finally, I determined associations between duck distributions and habitat and landscape features in accordance with the habitat-complex conceptual model. Landscapes with greater interspersion and diversity of wetlands attracted increased numbers of ducks, a though other factors such as wetland area also were important. I concluded that this study advanced methodologies to survey wintering waterfowl. Although improvements were warranted, I recommend this survey design for continued monitoring of wintering ducks in western Mississippi. Furthermore, I suggest habitat management on public and private lands should include complexes of seasonally flooded cropland, moist-soil, forested, and permanent wetlands to potentially increase wintering duck numbers in western Mississippi.

Grain sorghum provides energy-rich seeds for waterfowl. I conducted experiments in 22 sorghum fields in Arkansas, Mississippi, and Louisiana during falls 2006 – 2007 to evaluate abundance of ratoon grain (i.e., second crop after harvest), waste grain, and natural seeds. I also conducted surveys of wintering waterfowl in flooded croplands and moist-soil wetlands to evaluate if ducks and geese differentially used habitats. Fertilized plots in 2007 produced >4 times more ratoon grain (x = 219.57 ± 39.65 [SE] kg/ha) than other treatments. Fertilized plots in southern regions of my study area produced ~5 times more ratoon grain (x = 262.93 ± 50.28 kg/ha) than others. Mallards and other ducks used moist-soil wetlands (x >65 ducks/ha) more than other habitats. I did not observe geese using flooded sorghum. I recommend not manipulating sorghum stubble after harvest, fertilizing, and flooding it after ratoon grain has matured, and integrating moist-soil wetlands into agricultural lands.

Dramatic alterations have occurred on agricultural landscapes throughout North America, reducing the quantities of herbaceous habitat that once dominated field margins. A concomitant decrease of grassland bird populations paralleled these modifications. Conservation buffers, in the form of field borders, are a method of habitat establishment that effectively balances wildlife and landowner needs. Recent popularity of field borders led to their establishment throughout the southeastern US despite a paucity of knowledge regarding avian response to management regimes. This research evaluated wintering and breeding avian communities, as well as nesting ecology in response to field border establishment. Results indicated that birds utilize field borders for various life history requirements. Field borders provided enhanced avian benefits over traditional farm practices; and borders of widths >10 m were superior nesting habitat than more narrow borders. Based on these results, we strongly recommend field border establishment to enhance ecosystem integrity on farm landscapes.

In 2019, the Mississippi River watershed had a record-long flooding, which was comparable with the 1927 Great Mississippi River Flood. This study leveraged this flooded condition to assess the flood tolerance of eastern cottonwood (Populus deltoides) and black willow (Salix nigra) planted as short rotation woody crops (SRWCs) on seasonally flooded marginal land of the Lower Mississippi Alluvial Valley (LMAV) in 2018. The survival/mortality prediction models developed by using hydrologic and environmental variables suggested that only high flood depth affected the survival of black willow. However, eastern cottonwood was threatened by flood depth, flood duration, and cumulative flooding temperature calculated by summing air temperatures while trees were flooded in 2019, 2020, and 2021. During the growing season, the models predicted that black willow could tolerate flood depth of 1.38 m in April, 1.52 m in May, and 0.74 m in June, while eastern cottonwood could tolerate 1.18 m in April, 0.86 m in May, and 0.85 m in June. Due to having higher flood tolerance thresholds, black willow had better survival and biomass production than eastern cottonwood. This study also identified critical physiological parameters that affected the biomass productivity of eastern cottonwood, black willow, and American sycamore (Platanus occidentalis). Results showed that the growth of black willow was driven by nitrogen per unit leaf area (R2 = 0.41 and P-value = 0.004) and photosynthetic nitrogen use efficiency (R2 = 0.27 and P-value = 0.03); American sycamore was determined by stomatal conductance (R2 = 0.68 and P-value = 0.04) and transpiration rate (R2 = 0.70 and P-value = 0.04); and eastern cottonwood was not affected by either water or nitrogen factors. Understanding physiological strategies of these species provides useful information when matching site-species for riparian restoration in the LMAV. This study also found that a SRWC plantation could mitigate agricultural runoff by removing 78 to 83% of nitrate-nitrogen and 70 to 73% of orthophosphate-phosphorus from the groundwater before discharge to the Yazoo River. Therefore, rather than abandoning these areas, establishing SRWC plantations for bioenergy on marginal cropland can mitigate agricultural nutrient runoff and improve the water quality of the LMAV.

This study identified marginal agricultural lands in the Lower Mississippi Alluvial Valley using crop yield predicting models. The Random Forest Regression (RFR) and Multiple Linear Regression (MLR) models were trained and validated using county-level crop yield data, climate data, soil properties, and Normalized Difference Vegetation Index (NDVI). The RFR model outperformed MLR model in estimating soybean and corn yields, with an index of agreement (d) of 0.98 and 0.96, Nash-Sutcliffe model efficiency (NSE) of 0.88 and 0.93, and root mean square error (RMSE) of 9.34% and 5.84%, respectively. Marginal agricultural lands were estimated to 26,366 hectares using cost and sales price in 2021 while they were estimated to 623,566 hectares using average cost and sales price from 2016 to 2021. The results provide valuable information for land use planners and farmers to update field crops and plan alternative land uses that can generate higher returns while conserving these marginal lands.