4.6 Article

Fertilizer, landscape features and climate regulate phosphorus retention and river export in diverse Midwestern watersheds

期刊

BIOGEOCHEMISTRY
卷 146, 期 3, 页码 293-309

出版社

SPRINGER
DOI: 10.1007/s10533-019-00623-z

关键词

Phosphorus; Watersheds; Nutrient budget; Eutrophication; Legacy

资金

  1. National Science Foundation [1209402]
  2. Minnesota Department of Agriculture

向作者/读者索取更多资源

Non-point source pollution of phosphorus (P) is a primary cause of eutrophication of aquatic ecosystems, and poses a persistent management challenge due to the dynamic and poorly understood processes controlling the transport and transformation of P at the watershed scale. We examined phosphorus inputs, retention, and riverine losses in 62 diverse watersheds that included a wide range of land cover and use (minimally disturbed to human dominated) and human P inputs in Minnesota, USA. Fertilizer inputs from row crop cultivation were the dominant source of P to agricultural watersheds. A large majority of P inputs was retained in watershed soils or removed in agricultural products. However, fertilizer input was the most important factor associated with average annual river transport of total, dissolved, and particulate phosphorus (PP). Mean annual runoff increased total and dissolved P yields and decreased P retention. Dissolved P made up a significant portion of annual river loads at sites with high rates of P inputs and river TP export, with the ratio of dissolved to PP export increasing with crop cover and fertilizer inputs. PP export rose with larger extents of eroding bluffs near channels. Bluffs constitute only a small proportion of watershed area, but make a disproportionately high contribution to sediment loads due to their close proximity to river channels that are increasingly affected by human and climate-driven changes to river hydrology. Together, our results suggest that rising discharge and flow variability due to climate change and agricultural intensification coupled with high rates of P inputs will maintain elevated fluvial P export into the future. Without reductions in P inputs and reductions in both soluble P losses and stream bank erosion, reversal of water quality degradation will be difficult to achieve.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.6
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

Article Multidisciplinary Sciences

Integrated assessment modeling reveals near-channel management as cost-effective to improve water in watersheds

Amy T. Hansen, Todd Campbell, Se Jong Cho, Jonathan A. Czuba, Brent J. Dalzell, Christine L. Dolph, Peter L. Hawthorne, Sergey Rabotyagov, Zhengxin Lang, Karthik Kumarasamy, Patrick Belmont, Jacques C. Finlay, Efi Foufoula-Georgiou, Karen B. Gran, Catherine L. Kling, Peter Wilcock

Summary: Despite decades of efforts to reduce nutrient and sediment export from agricultural fields, water quality in intensively managed agricultural landscapes remains highly degraded. Recent analysis shows that current conservation efforts are not enough to reverse water degradation, and a more integrated approach to water quality management is needed. Fluvial wetlands are found to be the most cost-effective management action to reduce nitrate and sediment loads, but interagency cooperation and watershed scale planning are necessary for substantial improvements in water quality.

PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA (2021)

Article Geosciences, Multidisciplinary

Imbalance of global nutrient cycles exacerbated by the greater retention of phosphorus over nitrogen in lakes

Zhen Wu, Jincheng Li, Yanxin Sun, Josep Penuelas, Jilin Huang, Jordi Sardans, Qingsong Jiang, Jacques C. Finlay, Gregory L. Britten, Michael J. Follows, Wei Gao, Boqiang Qin, Jinren Ni, Shouliang Huo, Yong Liu

Summary: Analyzing over 5000 lakes globally, researchers have found that lakes preferentially retain phosphorous over nitrogen, exacerbating the imbalance of nutrient cycles caused by human activities. The greater retention of phosphorous leads to an elevation in the nitrogen to phosphorous ratio in lake outflows, further worsening the global ecosystem's nitrogen-phosphorous imbalance.

NATURE GEOSCIENCE (2022)

Article Environmental Sciences

Hydrologic processes regulate nutrient retention in stormwater detention ponds

Benjamin D. Janke, Jacques C. Finlay, Vinicius J. Taguchi, John S. Gulliver

Summary: Managed stormwater ponds play a vital role in mitigating urban runoff and nutrient pollution, but their functions are often overlooked. This study shows that water quality improvements in these ponds are mainly achieved through the settling of nutrients and contaminants. The study also highlights the importance of understanding and improving pond hydrologic function for enhancing nutrient retention and meeting water quality goals.

SCIENCE OF THE TOTAL ENVIRONMENT (2022)

Article Geochemistry & Geophysics

Random Self-Similar Trees: Emergence of Scaling Laws

Yevgeniy Kovchegov, Ilya Zaliapin, Efi Foufoula-Georgiou

Summary: This paper reviews the appearance and parameterization of scaling laws in complex systems, particularly focusing on hierarchical systems conceptualized by tree graphs. The recently formulated theory of random self-similar trees provides a suite of results on scaling laws between different attributes, which are of great significance in the study of extreme events and hazards.

SURVEYS IN GEOPHYSICS (2022)

Article Environmental Sciences

Hotspots of Predictability: Identifying Regions of High Precipitation Predictability at Seasonal Timescales From Limited Time Series Observations

Antonios Mamalakis, Amir AghaKouchak, James T. Randerson, Efi Foufoula-Georgiou

Summary: Precipitation prediction at seasonal timescales is important for water resources planning and management, as well as preparedness for hazards. This study introduces a probabilistic framework to assess predictability of winter precipitation in the contiguous United States, using sea surface temperature-derived indices as predictors. It identifies predictability hotspots and shows that extreme dry and wet conditions are more predictable than normal conditions.

WATER RESOURCES RESEARCH (2022)

Article Multidisciplinary Sciences

Superlinear scaling of riverine biogeochemical function with watershed size

Wilfred M. Wollheim, Tamara K. Harms, Andrew L. Robison, Lauren E. Koenig, Ashley M. Helton, Chao Song, William B. Bowden, Jacques C. Finlay

Summary: River networks play an important role in biogeochemical processes of the earth system. Here the authors show that cumulative river network function increases faster than watershed size for many biogeochemical processes, particularly at higher river flow, indicating large rivers contribute disproportionately to network function in the Earth System.

NATURE COMMUNICATIONS (2022)

Article Multidisciplinary Sciences

California wildfire spread derived using VIIRS satellite observations and an object-based tracking system

Yang Chen, Stijn Hantson, Niels Andela, Shane R. Coffield, Casey A. Graff, Douglas C. Morton, Lesley E. Ott, Efi Foufoula-Georgiou, Padhraic Smyth, Michael L. Goulden, James T. Randerson

Summary: This study develops a novel object-based system to track individual wildfires using satellite data, improving our understanding and quantification of wildfire spread, behavior, and impacts. The system successfully mapped the history of California wildfires from 2012 to 2020.

SCIENTIFIC DATA (2022)

Article Meteorology & Atmospheric Sciences

How Well Do Multisatellite Products Capture the Space-Time Dynamics of Precipitation? Part II: Building an Error Model through Spectral System Identification

Clement Guilloteau, Efi Foufoula-Georgiou, Pierre Kirstetter, Jackson Tan, George J. Huffman

Summary: This study proposes a spectral error model for satellite precipitation estimation, which takes into account the multiscale dynamics of neighboring space-time. The empirical analysis shows that systematic filtering plays an important role in the error of IMERG product, highlighting the significance of considering filtering effects in high-resolution satellite precipitation products.

JOURNAL OF HYDROMETEOROLOGY (2022)

Article Environmental Sciences

Classifying Mixing Regimes in Ponds and Shallow Lakes

Meredith A. Holgerson, David C. Richardson, Joseph Roith, Lauren E. Bortolotti, Kerri Finlay, Daniel J. Hornbach, Kshitij Gurung, Andrew Ness, Mikkel R. Andersen, Sheel Bansal, Jacques C. Finlay, Jacob A. Cianci-Gaskill, Shannon Hahn, Benjamin D. Janke, Cory McDonald, Jorrit P. Mesman, Rebecca L. North, Cassandra O. Roberts, Jon N. Sweetman, Jackie R. Webb

Summary: The study reveals that the mixing regimes of shallow waterbodies are highly sensitive to small differences in size and depth. Shallow lakes tend to mix more frequently, while shallow ponds mix less often. Precipitation events weaken stratification and can cause short-term mixing.

WATER RESOURCES RESEARCH (2022)

Article Geosciences, Multidisciplinary

River Delta Morphotypes Emerge From Multiscale Characterization of Shorelines

L. Vulis, A. Tejedor, H. Ma, J. H. Nienhuis, C. M. Broaddus, J. Brown, D. A. Edmonds, J. C. Rowland, E. Foufoula-Georgiou

Summary: In this study, a novel multiscale characterization of shorelines is introduced, which explains the relative influence of fluvial, wave, and tidal processes on delta formation and evolution. The characterization method automatically divides deltas into morphologically similar classes, known as delta morphotypes, and predicts the dominant forcing of each class. The study also shows the consistency between the inferred dominant forcings from shoreline structure and the estimated sediment fluxes, while recognizing the deviations caused by spatiotemporal heterogeneity in sediment fluxes.

GEOPHYSICAL RESEARCH LETTERS (2023)

Article Multidisciplinary Sciences

Valuing improvements in the ecological integrity of local and regional waters using the biological condition gradient

Christian A. Vossler, Christine L. Dolph, Jacques C. Finlay, David A. Keiser, Catherine L. Kling, Daniel J. Phaneuf

Summary: This study addresses the lack of scientific knowledge on quantifying the benefits of landscape-wide water quality improvements in the United States. By incorporating the Biological Condition Gradient (BCG) as a water quality metric in a stated preference survey, the study estimates the economic value for aquatic ecosystem improvements. The study finds that people are willing to pay more for policies that target their home watershed and nonuse sources of value are important for overall benefits.

PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA (2023)

Article Environmental Sciences

Spatiotemporal dynamics of chlorophyll-a in the Gorgan Bay and Miankaleh Peninsula biosphere reserve: Call for action

Zahra Kazempour, Mohammad Danesh-Yazdi

Summary: The Gorgan Bay and Miankaleh Peninsula biosphere reserve is facing endangerment due to water loss and degradation caused by eutrophication. A study reveals the long-term trend and intra-annual variability of eutrophication in the region. It is found that the impact on the Caspian Sea is minimal except for the southeastern shoreline.

REMOTE SENSING APPLICATIONS-SOCIETY AND ENVIRONMENT (2023)

Article Geosciences, Multidisciplinary

A New Event-Based Error Decomposition Scheme for Satellite Precipitation Products

Runze Li, Clement Guilloteau, Pierre-Emmanuel Kirstetter, Efi Foufoula-Georgiou

Summary: Understanding the nature and origin of errors in satellite precipitation products is important for applications and product improvement. A new error decomposition scheme is proposed to characterize satellite errors, attributing errors to the inaccuracies in event occurrence, timing, and intensity. The study applies the method to a test product and finds that the listed factors contribute differently to the total bias and errors are asymmetric in the temporal distribution throughout events. This error decomposition scheme provides insight into sources of error for improved retrievals.

GEOPHYSICAL RESEARCH LETTERS (2023)

Article Geosciences, Multidisciplinary

Ensemble Riemannian data assimilation: towards large-scale dynamical systems

Sagar K. Tamang, Ardeshir Ebtehaj, Peter Jan van Leeuwen, Gilad Lerman, Efi Foufoula-Georgiou

Summary: This paper presents the results of ensemble Riemannian data assimilation for relatively high-dimensional nonlinear dynamical systems, focusing on the Lorenz-96 model and the quasi-geostrophic model. The method infers the analysis state from a joint distribution, which effectively handles systematic biases. Comparisons with classic implementations of particle filter and stochastic ensemble Kalman filter show that this method can improve the predictability of dynamical systems with the same ensemble size.

NONLINEAR PROCESSES IN GEOPHYSICS (2022)

Article Physics, Fluids & Plasmas

Critical Tokunaga model for river networks

Yevgeniy Kovchegov, Ilya Zaliapin, Efi Foufoula-Georgiou

Summary: This study utilizes the theory of random self-similar trees to explain the hierarchical organization and self-similarity in river basins, elucidating the mathematical origin and relation of Horton's laws, Hack's laws, basin fractal dimensions, and power-law distributions of link attributes. The results contribute to a better understanding of landscape organization under different hydroclimatic forcings and extend scaling relationships useful for hydrologic prediction.

PHYSICAL REVIEW E (2022)

暂无数据