Implementation of a watershed modelling framework to support adaptive management in the Canadian side of the Lake Erie basin

被引:7
|
作者
Neumann, Alex [1 ]
Saber, Ali [1 ]
Arnillas, Carlos Alberto [1 ]
Shimoda, Yuko [1 ]
Yang, Cindy [1 ]
Javed, Aisha [1 ]
Zamaria, Sophia [1 ]
Kaltenecker, Georgina [1 ,2 ]
Blukacz-Richards, Agnes [3 ]
Rao, Yerubandi R. [3 ]
Feisthauer, Natalie [4 ]
Crolla, Anna [5 ]
Arhonditsis, George B. [1 ]
机构
[1] Univ Toronto, Dept Phys & Environm Sci, Toronto, ON M1C 1A4, Canada
[2] Ontario Minist Environm Conservat & Pk, Toronto, ON M9P 3V6, Canada
[3] Environm & Climate Change Canada, Watershed Hydrol & Ecol Res Div, Burlington, ON L7S 1A1, Canada
[4] Agr & AgriFood, Sci & Technol Branch, Guelph, ON N1G 4S9, Canada
[5] Ontario Minist Agr Food & Rural Affairs, Environm Management Branch, Kemptville, ON K0G 1J0, Canada
关键词
Best management practices; Multimodel ensemble; Uncertainty analysis; Adaptive management implementation; Lake Erie; Edge-of-field data; DISSOLVED REACTIVE PHOSPHORUS; DIGITAL ELEVATION MODELS; SOIL-PHOSPHORUS; LAND-USE; CLIMATE-CHANGE; SWAT MODEL; LONG-TERM; ASSESSMENT-TOOL; SURFACE RUNOFF; AGRICULTURAL CONSERVATION;
D O I
10.1016/j.ecoinf.2021.101444
中图分类号
Q14 [生态学(生物生态学)];
学科分类号
071012 ; 0713 ;
摘要
The present study aims to provide guidelines with respect to the implementation of a watershed modelling framework that can support adaptive management in the Canadian side of the Lake Erie basin. Our primary objective is to highlight the establishment of a multimodel ensemble as an appealing strategy that can address a wide range of conceptual and operational uncertainties typically underlying any modelling exercise. We identify three ensemble strategies that have different implications for the granularity of the analysis, empirical knowledge and data input demands to constrain the individual models, and required timeframe to operationalize them.
引用
收藏
页数:28
相关论文
共 19 条
  • [1] Castles built on sand or predictive limnology in action? Part A: Evaluation of an integrated modelling framework to guide adaptive management implementation in Lake Erie
    Arhonditsis, George B.
    Neumann, Alex
    Shimoda, Yuko
    Kim, Dong-Kyun
    Dong, Feifei
    Onandia, Gabriela
    Yang, Cindy
    Javed, Aisha
    Brady, Meghan
    Visha, Ariola
    Ni, Felicity
    Cheng, Vincent
    ECOLOGICAL INFORMATICS, 2019, 53
  • [2] Integrating watershed and ecosystem service models to assess best management practice efficiency: guidelines for Lake Erie managers and watershed modellers
    Arnillas, Carlos Alberto
    Yang, Cindy
    Zamaria, Sophia A.
    Neumann, Alex
    Javed, Aisha
    Shimoda, Yuko
    Feisthauer, Natalie
    Crolla, Anna
    Dong, Feifei
    Blukacz-Richards, Agnes
    Rao, Yerubandi R.
    Paredes, Diana
    Arhonditsis, George B.
    ENVIRONMENTAL REVIEWS, 2021, 29 (01): : 31 - 63
  • [3] A review of the current state of process-based and data-driven modelling: guidelines for Lake Erie managers and watershed modellers
    Neumann, Alex
    Dong, Feifei
    Shimoda, Yuko
    Arnillas, Carlos Alberto
    Javed, Aisha
    Yang, Cindy
    Zamaria, Sophia
    Mandal, Sohom
    Wellen, Christopher
    Paredes, Diana
    Feisthauer, Natalie
    Blukacz-Richards, E. Agnes
    Yerubandi, Ram Rao
    Arhonditsis, George B.
    ENVIRONMENTAL REVIEWS, 2021, 29 (04): : 443 - 490
  • [4] Castles built on sand or predictive limnology in action? Part B: Designing the next monitoring-modelling-assessment cycle of adaptive management in Lake Erie
    Arhonditsis, George B.
    Neumann, Alex
    Shimoda, Yuko
    Kim, Dong-Kyun
    Dong, Feifei
    Onandia, Gabriela
    Yang, Cindy
    Javed, Aisha
    Brady, Meghan
    Visha, Ariola
    Ni, Felicity
    Cheng, Vincent
    ECOLOGICAL INFORMATICS, 2019, 53
  • [5] Optimizing Agricultural Best Management Practices in a Lake Erie Watershed
    Pyo, Jongcheol
    Baek, Sang-Soo
    Kim, Minjeong
    Park, Sanghun
    Lee, Hyuk
    Ra, Jin-Sung
    Cho, Kyung Hwa
    JOURNAL OF THE AMERICAN WATER RESOURCES ASSOCIATION, 2017, 53 (06): : 1281 - 1292
  • [6] Estimating the economic costs of algal blooms in the Canadian Lake Erie Basin
    Smith, Robert B.
    Bass, Brad
    Sawyer, David
    Depew, David
    Watson, Susan B.
    HARMFUL ALGAE, 2019, 87
  • [7] Western Lake Erie Basin: Soft-data-constrained, NHDPIus resolution watershed modeling and exploration of applicable conservation scenarios
    Yen, Haw
    White, Michael J.
    Arnold, Jeffrey G.
    Keitzer, S. Conor
    Johnson, Mari-Vaughn V.
    Atwood, Jay D.
    Daggupati, Prasad
    Herbert, Matthew E.
    Sowa, Scott P.
    Ludsin, Stuart A.
    Robertson, Dale M.
    Srinivasan, Raghavan
    Rewa, Charles A.
    SCIENCE OF THE TOTAL ENVIRONMENT, 2016, 569 : 1265 - 1281
  • [8] Effectiveness of agricultural BMPs on phosphorus load reduction for the Canadian Lake Erie Basin: a literature review
    Liu, Yongbo
    Yang, Wanhong
    Bass, Brad
    Rao, Yerubandi R.
    ENVIRONMENTAL REVIEWS, 2025, 33
  • [9] Evaluating management options to reduce Lake Erie algal blooms using an ensemble of watershed models
    Martin, Jay F.
    Kalcic, Margaret M.
    Aloysius, Noel
    Apostel, Anna M.
    Brooker, Michael R.
    Evenson, Grey
    Kast, Jeffrey B.
    Kujawa, Haley
    Murumkar, Asmita
    Becker, Richard
    Boles, Chelsie
    Confesor, Remegio
    Dagnew, Awoke
    Guo, Tian
    Long, Colleen M.
    Muenich, Rebecca L.
    Scavia, Donald
    Redder, Todd
    Robertson, Dale M.
    Wang, Yu-Chen
    JOURNAL OF ENVIRONMENTAL MANAGEMENT, 2021, 280
  • [10] Spatially and temporally variable production pathways support the Lake Erie central basin food web
    Tellier, Joshua M.
    Hook, Tomas O.
    Kraus, Richard T.
    Collingsworth, Paris D.
    JOURNAL OF GREAT LAKES RESEARCH, 2023, 49 (05) : 1137 - 1149