The effect of population density on shoot morphology of herbs in relation to light capture by leaves DOI

Toshio Sekimura,

Tiina Roose, Bo Li

et al.

Ecological Modelling, Journal Year: 2000, Volume and Issue: 128(1), P. 51 - 62

Published: April 1, 2000

Language: Английский

Phosphorus Retention in Streams and Wetlands: A Review DOI Open Access
Krishna R. Reddy,

R.H. Kadlec,

E. G. Flaig

et al.

Critical Reviews in Environmental Science and Technology, Journal Year: 1999, Volume and Issue: 29(1), P. 83 - 146

Published: Jan. 1, 1999

Abstract Wetlands and streams buffer the interactions among uplands adjacent aquatic systems. Phosphorus (P) is often key nutrient found to be limiting in both estuarine freshwater ecosystems. As such, ability of wetlands retain P determining downstream water quality. This article reviews processes factors regulating retention evaluates selected methodologies used estimate these mechanisms reviewed include uptake release by vegetation, periphyton microorganisms; sorption exchange reactions with soils sediments; chemical precipitation column; sedimentation entrainment. These exemplify combined biological, physical, nature streams. Methodologies empirical input-output analysis mass balances, process kinetics applied at various scales, including micro- mesocosms full-scale Although complex numerical models are available transport, a simple understanding level important, but overall picture provided balance kinetic evaluations more useful estimating long-term retention.

Language: Английский

Citations

961

Prediction of water quality in lakes and reservoirs. Part I — Model description DOI
David P. Hamilton,

S. Geoffrey Schladow

Ecological Modelling, Journal Year: 1997, Volume and Issue: 96(1-3), P. 91 - 110

Published: March 1, 1997

Language: Английский

Citations

403

Ecohydrology — the scientific background to use ecosystem properties as management tools toward sustainability of water resources DOI
Maciej Zalewski

Ecological Engineering, Journal Year: 2000, Volume and Issue: 16(1), P. 1 - 8

Published: Oct. 1, 2000

Language: Английский

Citations

319

Implementation of ecological modeling as an effective management and investigation tool: Lake Kinneret as a case study DOI
Gideon Gal, Matthew R. Hipsey,

Arkadi Parparov

et al.

Ecological Modelling, Journal Year: 2009, Volume and Issue: 220(13-14), P. 1697 - 1718

Published: May 15, 2009

Language: Английский

Citations

163

Prediction of water quality in lakes and reservoirs: Part II - Model calibration, sensitivity analysis and application DOI

S. Geoffrey Schladow,

David P. Hamilton

Ecological Modelling, Journal Year: 1997, Volume and Issue: 96(1-3), P. 111 - 123

Published: March 1, 1997

Language: Английский

Citations

147

Effects of dissolved oxygen supply level on phosphorus release from lake sediments DOI
Shengrui Wang,

Xiangcan Jin,

Qinyun Bu

et al.

Colloids and Surfaces A Physicochemical and Engineering Aspects, Journal Year: 2007, Volume and Issue: 316(1-3), P. 245 - 252

Published: Sept. 8, 2007

Language: Английский

Citations

131

Spatial and temporal hydrodynamic and water quality modeling analysis of a large reservoir on the South Carolina (USA) coastal plain DOI
Daniel L. Tufford,

H. McKellar

Ecological Modelling, Journal Year: 1999, Volume and Issue: 114(2-3), P. 137 - 173

Published: Jan. 1, 1999

Language: Английский

Citations

108

Prediction and elucidation of phytoplankton dynamics in the Nakdong River (Korea) by means of a recurrent artificial neural network DOI
Kwang‐Seuk Jeong, Gea‐Jae Joo, Hyun‐Woo Kim

et al.

Ecological Modelling, Journal Year: 2001, Volume and Issue: 146(1-3), P. 115 - 129

Published: Dec. 1, 2001

Language: Английский

Citations

107

Reservoirs: New challenges for ecosystem studies and environmental management DOI
José Galízia Tundisi

Water Security, Journal Year: 2018, Volume and Issue: 4-5, P. 1 - 7

Published: Aug. 1, 2018

Language: Английский

Citations

54

Exploring research on ecotechnology through artificial intelligence and bibliometric maps DOI Creative Commons
R. Ruiz‐Sánchez, Ricardo Arencibia Jorge, J. Tagüeña-Martı́nez

et al.

Environmental Science and Ecotechnology, Journal Year: 2024, Volume and Issue: 21, P. 100386 - 100386

Published: Jan. 4, 2024

Ecotechnology, quintessential for crafting sustainable socio-environmental strategies, remains tantalizingly uncharted. Our analysis, steered by the nuances of machine learning and augmented bibliometric insights, delineates expansive terrain this domain, elucidates pivotal research themes conundrums, discerns vanguard nations in field. Furthermore, we deftly connect our discoveries to United Nations' 2030 Sustainable Development Goals, thereby accentuating profound societal ramifications ecotechnology.

Language: Английский

Citations

5