Year |
Citation |
Score |
2020 |
Buzhdygan OY, Meyer ST, Weisser WW, Eisenhauer N, Ebeling A, Borrett SR, Buchmann N, Cortois R, De Deyn GB, de Kroon H, Gleixner G, Hertzog LR, Hines J, Lange M, Mommer L, et al. Biodiversity increases multitrophic energy use efficiency, flow and storage in grasslands. Nature Ecology & Evolution. PMID 32094542 DOI: 10.1038/S41559-020-1123-8 |
0.398 |
|
2020 |
Niquil N, Haraldsson M, Sime-Ngando T, Huneman P, Borrett SR. Shifting levels of ecological network's analysis reveals different system properties. Philosophical Transactions of the Royal Society of London. Series B, Biological Sciences. 375: 20190326. PMID 32089120 DOI: 10.1098/Rstb.2019.0326 |
0.484 |
|
2019 |
Fath BD, Asmus H, Asmus R, Baird D, Borrett SR, de Jonge VN, Ludovisi A, Niquil N, Scharler UM, Schückel U, Wolff M. Ecological network analysis metrics: The need for an entire ecosystem approach in management and policy Ocean & Coastal Management. 174: 1-14. DOI: 10.1016/J.Ocecoaman.2019.03.007 |
0.662 |
|
2019 |
Borrett SR, Scharler UM. Walk partitions of flow in Ecological Network Analysis: Review and synthesis of methods and indicators Ecological Indicators. 106: 105451. DOI: 10.1016/J.Ecolind.2019.105451 |
0.508 |
|
2019 |
Bentley JW, Hines D, Borrett S, Serpetti N, Fox C, Reid DG, Heymans JJ. Diet uncertainty analysis strengthens model-derived indicators of food web structure and function Ecological Indicators. 98: 239-250. DOI: 10.1016/J.Ecolind.2018.11.008 |
0.429 |
|
2018 |
Hines DE, Ray S, Borrett SR. Uncertainty analyses for Ecological Network Analysis enable stronger inferences Environmental Modelling and Software. 101: 117-127. DOI: 10.1016/J.Envsoft.2017.12.011 |
0.505 |
|
2018 |
de la Vega C, Horn S, Baird D, Hines D, Borrett S, Jensen LF, Schwemmer P, Asmus R, Siebert U, Asmus H. Seasonal dynamics and functioning of the Sylt-Rømø Bight, northern Wadden Sea Estuarine, Coastal and Shelf Science. 203: 100-118. DOI: 10.1016/J.Ecss.2018.01.021 |
0.473 |
|
2018 |
Borrett SR, Sheble L, Moody J, Anway EC. Bibliometric review of ecological network analysis: 2010–2016 Ecological Modelling. 382: 63-82. DOI: 10.1016/J.Ecolmodel.2018.04.020 |
0.51 |
|
2017 |
McCoy E, Borrett SR, LaPeyre MK, Peterson BJ. Estimating the impact of oyster restoration scenarios on transient fish production Restoration Ecology. 25: 798-809. DOI: 10.1111/Rec.12498 |
0.334 |
|
2017 |
Rakshit N, Banerjee A, Mukherjee J, Chakrabarty M, Borrett SR, Ray S. Comparative study of food webs from two different time periods of Hooghly Matla estuarine system, India through network analysis Ecological Modelling. 356: 25-37. DOI: 10.1016/J.Ecolmodel.2017.04.003 |
0.495 |
|
2017 |
Lau MK, Borrett SR, Baiser B, Gotelli NJ, Ellison AM. Ecological network metrics: opportunities for synthesis Ecosphere. 8: e01900. DOI: 10.1002/Ecs2.1900 |
0.503 |
|
2016 |
Zhao L, Zhang H, O'Gorman EJ, Tian W, Ma A, Moore JC, Borrett SR, Woodward G. Weighting and indirect effects identify keystone species in food webs. Ecology Letters. PMID 27346328 DOI: 10.1111/Ele.12638 |
0.329 |
|
2016 |
Lau MK, Keith AR, Borrett SR, Shuster SM, Whitham TG. Genotypic variation in foundation species generates network structure that may drive community dynamics and evolution. Ecology. 97: 733-42. PMID 27197399 DOI: 10.1890/15-0600.1 |
0.459 |
|
2016 |
Borrett SR, Carter M, Hines DE. Six general ecosystem properties are more intense in biogeochemical cycling networks than food webs Journal of Complex Networks. 4: 575-603. DOI: 10.1093/Comnet/Cnw001 |
0.503 |
|
2016 |
Hines DE, Singh P, Borrett SR. Evaluating control of nutrient flow in an estuarine nitrogen cycle through comparative network analysis Ecological Engineering. 89: 70-79. DOI: 10.1016/J.Ecoleng.2016.01.009 |
0.464 |
|
2015 |
Hines DE, Lisa JA, Song B, Tobias CR, Borrett SR. Estimating the effects of seawater intrusion on an estuarine nitrogen cycle by comparative network analysis Marine Ecology Progress Series. 524: 137-154. DOI: 10.3354/Meps11187 |
0.408 |
|
2014 |
Borrett SR, Lau MK. enaR: An R package for Ecosystem Network Analysis Methods in Ecology and Evolution. 5: 1206-1213. DOI: 10.1111/2041-210X.12282 |
0.492 |
|
2014 |
Borrett SR, Fath BD, Whipple SJ. Introduction to the special issue "Systems Ecology: A Network Perspective and Retrospective" Ecological Modelling. 293: 1-3. DOI: 10.1016/J.Ecolmodel.2014.10.005 |
0.625 |
|
2014 |
Whipple SJ, Patten BC, Borrett SR. Indirect effects and distributed control in ecosystems Comparative network environ analysis of a seven-compartment model of nitrogen storage in the Neuse River Estuary, USA: Time series analysis. Ecological Modelling. 293: 161-186. DOI: 10.1016/J.Ecolmodel.2014.08.025 |
0.7 |
|
2014 |
Borrett SR, Moody J, Edelmann A. The rise of Network Ecology: Maps of the topic diversity and scientific collaboration Ecological Modelling. 293: 111-127. DOI: 10.1016/J.Ecolmodel.2014.02.019 |
0.493 |
|
2014 |
Hines DE, Borrett SR. A comparison of network, neighborhood, and node levels of analyses in two models of nitrogen cycling in the Cape Fear River Estuary Ecological Modelling. 293: 210-220. DOI: 10.1016/J.Ecolmodel.2013.11.013 |
0.47 |
|
2013 |
Borrett SR. Throughflow centrality is a global indicator of the functional importance of species in ecosystems Ecological Indicators. 32: 182-196. DOI: 10.1016/J.Ecolind.2013.03.014 |
0.453 |
|
2012 |
Fann SL, Borrett SR. Environ centrality reveals the tendency of indirect effects to homogenize the functional importance of species in ecosystems. Journal of Theoretical Biology. 294: 74-86. PMID 22085737 DOI: 10.1016/J.Jtbi.2011.10.030 |
0.423 |
|
2012 |
Hines DE, Lisa JA, Song B, Tobias CR, Borrett SR. A network model shows the importance of coupled processes in the microbial N cycle in the Cape Fear River Estuary Estuarine, Coastal and Shelf Science. 106: 45-57. DOI: 10.1016/J.Ecss.2012.04.018 |
0.444 |
|
2011 |
Borrett SR, Freeze MA, Salas AK. Equivalence of the realized input and output oriented indirect effects metrics in Ecological Network Analysis Ecological Modelling. 222: 2142-2148. DOI: 10.1016/J.Ecolmodel.2011.04.003 |
0.459 |
|
2011 |
Salas AK, Borrett SR. Evidence for the dominance of indirect effects in 50 trophic ecosystem networks Ecological Modelling. 222: 1192-1204. DOI: 10.1016/J.Ecolmodel.2010.12.002 |
0.511 |
|
2011 |
Borrett SR, Freeze MA. Reconnecting environs to their environment Ecological Modelling. 222: 2393-2403. DOI: 10.1016/J.Ecolmodel.2010.10.015 |
0.482 |
|
2010 |
Borrett SR, Whipple SJ, Patten BC. Rapid development of indirect effects in ecological networks Oikos. 119: 1136-1148. DOI: 10.1111/J.1600-0706.2009.18104.X |
0.696 |
|
2010 |
Borrett SR, Salas AK. Evidence for resource homogenization in 50 trophic ecosystem networks Ecological Modelling. 221: 1710-1716. DOI: 10.1016/J.Ecolmodel.2010.04.004 |
0.475 |
|
2010 |
Kaufman AG, Borrett SR. Ecosystem network analysis indicators are generally robust to parameter uncertainty in a phosphorus model of Lake Sidney Lanier, USA Ecological Modelling. 221: 1230-1238. DOI: 10.1016/J.Ecolmodel.2009.12.018 |
0.41 |
|
2007 |
Borrett SR, Fath BD, Patten BC. Functional integration of ecological networks through pathway proliferation. Journal of Theoretical Biology. 245: 98-111. PMID 17084414 DOI: 10.1016/J.Jtbi.2006.09.024 |
0.71 |
|
2007 |
Bata SA, Borrett SR, Patten BC, Whipple SJ, Schramski JR, Gattie DK. Equivalence of throughflow- and storage-based environs Ecological Modelling. 206: 400-406. DOI: 10.1016/J.Ecolmodel.2007.04.005 |
0.597 |
|
2007 |
Schramski JR, Gattie DK, Patten BC, Borrett SR, Fath BD, Whipple SJ. Indirect effects and distributed control in ecosystems: Distributed control in the environ networks of a seven-compartment model of nitrogen flow in the Neuse River Estuary, USA-Time series analysis Ecological Modelling. 206: 18-30. DOI: 10.1016/J.Ecolmodel.2007.03.023 |
0.728 |
|
2007 |
Whipple SJ, Borrett SR, Patten BC, Gattie DK, Schramski JR, Bata SA. Indirect effects and distributed control in ecosystems: Comparative network environ analysis of a seven-compartment model of nitrogen flow in the Neuse River estuary, USA-Time series analysis Ecological Modelling. 206: 1-17. DOI: 10.1016/J.Ecolmodel.2007.03.002 |
0.677 |
|
2007 |
Borrett SR, Osidele OO. Environ indicator sensitivity to flux uncertainty in a phosphorus model of Lake Sidney Lanier, USA Ecological Modelling. 200: 371-383. DOI: 10.1016/J.Ecolmodel.2006.08.011 |
0.535 |
|
2007 |
Borrett SR, Bridewell W, Langley P, Arrigo KR. A method for representing and developing process models Ecological Complexity. 4: 1-12. DOI: 10.1016/J.Ecocom.2007.02.017 |
0.354 |
|
2007 |
Whipple SJ, Patten BC, Verity PG, Frischer ME, Long JD, Nejstgaard JC, Anderson JT, Jacobsen A, Larsen A, Martinez-Martinez J, Borrett SR. Gaining integrated understanding of Phaeocystis spp. (Prymnesiophyceae) through model-driven laboratory and mesocosm studies Phaeocystis, Major Link in the Biogeochemical Cycling of Climate-Relevant Elements. 293-309. DOI: 10.1007/S10533-007-9089-Z |
0.578 |
|
2006 |
Nejstgaard JC, Frischer ME, Verity PG, Anderson JT, Jacobsen A, Zirbel MJ, Larsen A, Martínez-Martínez J, Sazhin AF, Walters T, Bronk DA, Whipple SJ, Borrett SR, Patten BC, Long JD. Plankton development and trophic transfer in seawater enclosures with nutrients and Phaeocystis pouchetii added Marine Ecology Progress Series. 321: 99-121. DOI: 10.3354/Meps321099 |
0.557 |
|
2006 |
Fath BD, Borrett SR. A MATLAB® function for Network Environ Analysis Environmental Modelling and Software. 21: 375-405. DOI: 10.1016/J.Envsoft.2004.11.007 |
0.681 |
|
2006 |
Gattie DK, Schramski JR, Borrett SR, Patten BC, Bata SA, Whipple SJ. Indirect effects and distributed control in ecosystems: Network environ analysis of a seven-compartment model of nitrogen flow in the Neuse River Estuary, USA - Steady-state analysis Ecological Modelling. 194: 162-177. DOI: 10.1016/J.Ecolmodel.2005.10.017 |
0.701 |
|
2006 |
Schramski JR, Gattie DK, Patten BC, Borrett SR, Fath BD, Thomas CR, Whipple SJ. Indirect effects and distributed control in ecosystems: Distributed control in the environ networks of a seven-compartment model of nitrogen flow in the Neuse River Estuary, USA - Steady-state analysis Ecological Modelling. 194: 189-201. DOI: 10.1016/J.Ecolmodel.2005.10.012 |
0.696 |
|
2006 |
Borrett SR, Whipple SJ, Patten BC, Christian RR. Indirect effects and distributed control in ecosystems: Temporal variation of indirect effects in a seven-compartment model of nitrogen flow in the Neuse River Estuary, USA - Time series analysis Ecological Modelling. 194: 178-188. DOI: 10.1016/J.Ecolmodel.2005.10.011 |
0.652 |
|
2003 |
Borrett SR, Patten BC. Structure of pathways in ecological networks: Relationships between length and number Ecological Modelling. 170: 173-184. DOI: 10.1016/S0304-3800(03)00224-2 |
0.642 |
|
2002 |
Beck M, Fath B, Parker A, Osidele O, Cowie G, Rasmussen T, Patten B, Norton B, Steinemann A, Borrett S, Cox D, Mayhew M, Zeng X, Zeng W. Developing a Concept of Adaptive Community Learning: Case Study of a Rapidly Urbanizing Watershed Integrated Assessment. 3: 299-307. DOI: 10.1076/Iaij.3.4.299.13583 |
0.65 |
|
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