A critique for meta‐analyses and the productivity– diversity relationship
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Modern meta-analysis was initiated almost simultaneously in the medical and social sciences in the late 1970s.
“It may be that the time was right, because modern meta-analysis was initiated almost simultaneously in the medical and social sciences in the late 1970s 11 .”
From Meta-analysis and the science of research synthesis (2018) · cites this paper as [11]
Cites
The meta-analysis of response ratios in experimental ecology
Hedges, L. V., Gurevitch, J., & Curtis, P. S. (1999) · Ecology · doi:10.1890/0012-9658(1999)080[1150:tmaorr]2.0.co;2 · Cited by 4,704 · see citing works
Biodiversity and ecosystem functioning: Current knowledge and future challenges
Loreau, M., Naeem, S., Inchausti, P., Bengtsson, J., Grime, J. P., Hector, A., Hooper, D. U., Huston, M. A., Raffaelli, D., Schmid, B., et al. (2001) · Science · doi:10.1126/science.1064088 · Cited by 4,649 · see citing works
Impacts of Biodiversity Loss on Ocean Ecosystem Services
Worm, B., Barbier, E. B., Beaumont, N., Duffy, J. E., Folke, C., Halpern, B. S., Jackson, J. B. C., Lotze, H. K., Micheli, F., Palumbi, S. R., et al. (2006) · Science · doi:10.1126/science.1132294 · Cited by 4,544 · see citing works
Resource Competition and Community Structure
Hassell, M. P., & Tilman, D. (1984) · Journal of Animal Ecology · doi:10.2307/4549 · Cited by 4,255 · see citing works
Resource Competition and Community Structure.
Harper, J. L., & Tilman, D. (1983) · Journal of Ecology · doi:10.2307/2259756 · Cited by 4,236 · see citing works
Quantifying the evidence for biodiversity effects on ecosystem functioning and services
Balvanera, P., Pfisterer, A. B., Buchmann, N., He, J., Nakashizuka, T., Raffaelli, D., & Schmid, B. (2006) · Ecology Letters · doi:10.1111/j.1461-0248.2006.00963.x · Cited by 2,650 · see citing works
Effects of biodiversity on the functioning of trophic groups and ecosystems
Cardinale, B. J., Srivastava, D. S., Emmett Duffy, J., Wright, J. P., Downing, A. L., Sankaran, M., & Jouseau, C. (2006) · Nature · doi:10.1038/nature05202 · Cited by 1,871 · see citing works
Self-citationSpecies diversity in ecological communities
Wiens, J. A. (1994) · Trends in Ecology & Evolution · doi:10.1016/0169-5347(94)90163-5 · Cited by 1,744 · see citing works
WHAT IS THE OBSERVED RELATIONSHIP BETWEEN SPECIES RICHNESS AND PRODUCTIVITY?
Mittelbach, G. G., Steiner, C. F., Scheiner, S. M., Gross, K. L., Reynolds, H. L., Waide, R. B., Willig, M. R., Dodson, S. I., & Gough, L. (2001) · Ecology · doi:10.1890/0012-9658(2001)082[2381:witorb]2.0.co;2 · Cited by 1,650 · see citing works
Stability and Diversity of Ecosystems
Ives, A. R., & Carpenter, S. R. (2007) · Science · doi:10.1126/science.1133258 · Cited by 1,591 · see citing works
Are There General Laws in Ecology?
Lawton, J. H. (1999) · Oikos · doi:10.2307/3546712 · Cited by 1,574 · see citing works
Cardinale, B. J., Wright, J. P., Cadotte, M. W., Carroll, I. T., Hector, A., Srivastava, D. S., Loreau, M., & Weis, J. J. (2007) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0709069104 · Cited by 1,537 · see citing works
Self-citationSpecies-Energy Theory: An Extension of Species-Area Theory
Wright, D. H. (1983) · Oikos · doi:10.2307/3544109 · Cited by 1,507 · see citing works
Rosenberg, M. S. (2005) · Evolution · doi:10.1111/j.0014-3820.2005.tb01004.x · Cited by 1,285 · cited 1× · see citing works
“This is an issue that has been discussed at length (Osenberg et al. 1997, Englund et al. 1999, Gurevitch and Hedges 1999, LaJeunesse and Forbes 2003, Rosenberg 2005), and there are ongoing attempts to develop the cyber-infrastructure needed to improve the management, sharing, and analysis of data…”
BackgroundResource Competition between Plankton Algae: An Experimental and Theoretical Approach
Tilman, D. G. (1977) · Ecology · doi:10.2307/1935608 · Cited by 1,241 · see citing works
STATISTICAL ISSUES IN ECOLOGICAL META-ANALYSES
Gurevitch, J., & Hedges, L. V. (1999) · Ecology · doi:10.1890/0012-9658(1999)080[1142:siiema]2.0.co;2 · Cited by 1,084 · see citing works
REGRESSION ANALYSIS OF NATURAL SELECTION: STATISTICAL INFERENCE AND BIOLOGICAL INTERPRETATION
Mitchell‐Olds, T., & Shaw, R. G. (1987) · Evolution · doi:10.1111/j.1558-5646.1987.tb02457.x · Cited by 869 · see citing works
A Meta-Analysis of Competition in Field Experiments
Gurevitch, J., Morrow, L. L., Wallace, A., & Walsh, J. S. (1992) · The American Naturalist · doi:10.1086/285428 · Cited by 851 · see citing works
Spatial scale dictates the productivity–biodiversity relationship
Chase, J. M., & Leibold, M. A. (2002) · Nature · doi:10.1038/416427a · Cited by 816 · see citing works
Meta-analysis: Combining the Results of Independent Experiments
Gurevitch, J., & Hedges, L. V. (2001) · doi:10.1093/oso/9780195131871.003.0018 · Cited by 706 · see citing works
Srivastava, D. S., & Lawton, J. H. (1998) · The American Naturalist · doi:10.1086/286187 · Cited by 679 · see citing works
Monotonic or Unimodal Diversity‐Productivity Gradients: What Does Competition Theory Predict?
Abrams, P. A. (1995) · Ecology · doi:10.2307/1941677 · Cited by 462 · see citing works
How are diversity and productivity related
Rosenzweig, M. L., & Abramsky, Z. (1993) · Cited by 423 · see citing works
Hillebrand, H., Gruner, D. S., Borer, E. T., Bracken, M. E. S., Cleland, E. E., Elser, J. J., Harpole, W. S., Ngai, J. T., Seabloom, E. W., Shurin, J. B., et al. (2007) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0701918104 · Cited by 357 · see citing works
Self-citationEffect Size in Ecological Experiments: The Application of Biological Models in Meta‐Analysis
Osenberg, C. W., Sarnelle, O., & Cooper, S. D. (1997) · The American Naturalist · doi:10.1086/286095 · Cited by 278 · see citing works
Cardinale, B. J., Hillebrand, H., Harpole, W. S., Gross, K., & Ptacnik, R. (2009) · Ecology Letters · doi:10.1111/j.1461-0248.2009.01317.x · Cited by 249 · see citing works
Self-citationThe species richness–productivity controversy
Schmid, B. (2002) · Trends in Ecology & Evolution · doi:10.1016/s0169-5347(01)02422-3 · Cited by 233 · see citing works
Whittaker, R. J. (2010) · Ecology · doi:10.1890/08-0968.1 · Cited by 223 · see citing works
THE IMPORTANCE OF DATA-SELECTION CRITERIA: META-ANALYSES OF STREAM PREDATION EXPERIMENTS
Englund, G., Sarnelle, O., & Cooper, S. D. (1999) · Ecology · doi:10.1890/0012-9658(1999)080[1132:tiodsc]2.0.co;2 · Cited by 162 · see citing works
Variable reporting and quantitative reviews: a comparison of three meta‐analytical techniques
Lajeunesse, M. J., & Forbes, M. R. (2003) · Ecology Letters · doi:10.1046/j.1461-0248.2003.00448.x · Cited by 152 · see citing works
Gross, K., & Cardinale, B. J. (2007) · The American Naturalist · doi:10.1086/518950 · Cited by 138 · see citing works
Self-citationPLANKTON BIODIVERSITY ALONG A GRADIENT OF PRODUCTIVITY AND ITS MEDIATION BY MACROPHYTES
Declerck, S., Vanderstukken, M., Pals, A., Muylaert, K., & Meester, L. D. (2007) · Ecology · doi:10.1890/07-0048.1 · Cited by 128 · see citing works
Strong Top-Down Control in Southern California Kelp Forest Ecosystems
Halpern, B. S., Cottenie, K., & Broitman, B. R. (2006) · Science · doi:10.1126/science.1128613 · Cited by 116 · see citing works
Repeatability and transparency in ecological research
Ellison, A. M. (2010) · Ecology · doi:10.1890/09-0032.1 · Cited by 82 · see citing works
Comment on "Impacts of Biodiversity Loss on Ocean Ecosystem Services"
Wilberg, M. J., & Miller, T. J. (2007) · Science · doi:10.1126/science.1137946 · Cited by 34 · see citing works
Gurevitch, J., & Mengersen, K. L. (2010) · Ecology · doi:10.1890/09-1039.1 · Cited by 25 · see citing works
Top-Down Vs. Bottom-Up Effects in Kelp Forests
Foster, M. S., Edwards, M. S., Reed, D. C., Schiel, D. R., & Zimmerman, R. C. (2006) · Science · doi:10.1126/science.313.5794.1737c · Cited by 25 · see citing works
Comment on "Impacts of Biodiversity Loss on Ocean Ecosystem Services"
Hölker, F., Beare, D., Dörner, H., Natale, A. D., Rätz, H.-J., Temming, A., & Casey, J. (2007) · Science · doi:10.1126/science.1139114 · Cited by 21 · see citing works
Comment on "Impacts of Biodiversity Loss on Ocean Ecosystem Services"
JAENIKE, J. R. (2007) · Science · doi:10.1126/science.1137730 · Cited by 19 · see citing works
Top-down vs. bottom-up effects in kelp forests.
Steele, M. A., Schroeter, S. C., Carpenter, R. C., & Kushner, D. J. (2006) · PubMed · Cited by 3 · see citing works
Flagged first, then by citations
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Comparing the yields of organic and conventional agriculture
Seufert, V., Ramankutty, N., & Foley, J. A. (2012) · Nature · doi:10.1038/nature11069 · Cited by 2,165 · see citing works
Meta-analysis and the science of research synthesis
Gurevitch, J., Koricheva, J., Nakagawa, S., & Stewart, G. (2018) · Nature · doi:10.1038/nature25753 · Cited by 1,709 · see citing works
Zhang, Y., Chen, H. Y. H., & Reich, P. B. (2012) · Journal of Ecology · doi:10.1111/j.1365-2745.2011.01944.x · Cited by 799 · see citing works
“However, when the main goal of a meta-analysis is to generalize the commonality and differences between original studies, a drastic removal of studies would reduce the power and generality of the meta-analysis (Hillebrand & Cardinale 2010).”
BackgroundWallace, B. C., Lajeunesse, M. J., Dietz, G., Dahabreh, I. J., Trikalinos, T. A., Schmid, C. H., & Gurevitch, J. (2017) · Methods in Ecology and Evolution · doi:10.1111/2041-210x.12708 · Cited by 421 · see citing works
Fraser, L. H., Henry, H. A. L., Carlyle, C. N., White, S. R., Beierkuhnlein, C., Cahill, J. F., Casper, B. B., Cleland, E. E., Collins, S. L., Dukes, J. S., et al. (2012) · Frontiers in Ecology and the Environment · doi:10.1890/110279 · Cited by 311 · see citing works
Increasing antagonistic interactions cause bacterial communities to collapse at high diversity
Becker, J., Eisenhauer, N., Scheu, S., & Jousset, A. (2012) · Ecology Letters · doi:10.1111/j.1461-0248.2012.01759.x · Cited by 240 · see citing works
Ruppert, J. C., Harmoney, K. R., Henkin, Z., Snyman, H. A., Sternberg, M., Willms, W. D., & Linstädter, A. (2014) · Global Change Biology · doi:10.1111/gcb.12777 · Cited by 208 · see citing works
“To accomplish this, we did not merely compile results qualitatively as done in many meta-analyses (Hillebrand & Cardinale, 2010), but established common metrics for quantifying ecosystem responses to drought and grazing.”
Cardinale, B. J., Gonzalez, A., Allington, G. R. H., & Loreau, M. (2018) · Biological Conservation · doi:10.1016/j.biocon.2017.12.021 · Cited by 190 · see citing works
“…control for heterogeneity among studies with di ff ering purposes and designs, and fail to control for di ff erences in the a priori expectations of studies being summarized (Hillebrand and Cardinale, 2010; Koricheva and Gurevitch, 2014; Nakagawa et al., 2017; Ridolo et al., 2017; Whittaker, 2010).”
BackgroundSelf-citationMeta‐analysis: A need for well‐defined usage in ecology and conservation biology
Vetter, D., Rücker, G., & Storch, I. (2013) · Ecosphere · doi:10.1890/es13-00062.1 · Cited by 124 · see citing works
“…et al. 2010 excluded methodology or response Hartley and Hunter, JR. 1998 included Helser and Lai 2004 included Hendriks et al. 2010 included Hillebrand and Cardinale 2010 excluded methodology or response Holloway and Smith 2011 included Honnay and Jacquemyn 2008 included Hounsome and…”
MethodCusens, J., Wright, S. D., McBride, P. D., & Gillman, L. N. (2012) · Ecology · doi:10.1890/11-1861.1 · Cited by 119 · see citing works
Freshwater phytoplankton diversity: models, drivers and implications for ecosystem properties
Borics, G., Abonyi, A., Salmaso, N., & Ptáčník, R. (2020) · Hydrobiologia · doi:10.1007/s10750-020-04332-9 · Cited by 131 · see citing works
“These differences in approaches may generate different patterns, which lead to confusion and inconclusive results (Whittaker & Heegaard, 2003; Hillebrand & Cardinale, 2010).”
ResultDams have varying impacts on fish communities across latitudes: a quantitative synthesis
Turgeon, K., Turpin, C., & Gregory‐Eaves, I. (2019) · Ecology Letters · doi:10.1111/ele.13283 · Cited by 118 · see citing works
Reid, C. R., & Watmough, S. A. (2014) · Canadian Journal of Forest Research · doi:10.1139/cjfr-2013-0488 · Cited by 111 · see citing works
“This methodology gives all independent observations equal weight in calculating overall effect size means and their variance; however, when the main goal of analyses is to document the direction andmagnitude of effects and the heterogeneity between original studies, a major elimination of studies could reduce the powe…”
MethodRuppert, J. C., Holm, A. M., Miehe, S., Muldavin, E., Snyman, H. A., Wesche, K., & Linstädter, A. (2012) · Journal of Vegetation Science · doi:10.1111/j.1654-1103.2012.01420.x · Cited by 93 · see citing works
“Following the implications of a recent discussion on meta-analysis (Gillman & Wright 2010, Hillebrand & Cardinale 2010, Whittaker 2010), we established a criteria catalogue fitted for our research questions.”
BackgroundMethodSmucker, N. J., & Detenbeck, N. E. (2014) · Restoration Ecology · doi:10.1111/rec.12134 · Cited by 61 · see citing works
“However, some limitations exist and identifying the finer details of relationships and causal mechanisms was difficult because of the inherent variability that comes with synthesizing diverse data (Hillebrand & Cardinale 2010).”
BackgroundMeli, P., Ellison, D., Ferraz, S. F. D. B., Filoso, S., & Brancalion, P. H. S. (2024) · Global Change Biology · doi:10.1111/gcb.17162 · Cited by 64 · see citing works
“It is likewise not a substitute for fully understanding the factors underlying the hydrologic impacts of forest cover change when characterizing the unique features of individual study sites (Hillebrand & Cardinale, 2010).”
BackgroundDas, S., Deb, S., Sahoo, S. S., & Sahoo, U. K. (2023) · Acta Ecologica Sinica · doi:10.1016/j.chnaes.2022.12.007 · Cited by 63 · see citing works
Belote, R. T., Prisley, S., Jones, R. H., Fitzpatrick, M. C., & de Beurs, K. M. (2011) · Forest Ecology and Management · doi:10.1016/j.foreco.2011.01.010 · Cited by 59 · see citing works
Raza, W., Wang, J., Jousset, A., Friman, V., Mei, X., Wang, S., Wei, Z., & Shen, Q. (2020) · Proceedings of the Royal Society B Biological Sciences · doi:10.1098/rspb.2020.0403 · Cited by 57 · see citing works
Achieving synthesis with meta‐analysis by combining and comparing all available studies
Lajeunesse, M. J. (2010) · Ecology · doi:10.1890/09-1530.1 · Cited by 44 · see citing works
A cross‐system meta‐analysis reveals coupled predation effects on prey biomass and diversity
Katano, I., Doi, H., Eriksson, B. K., & Hillebrand, H. (2015) · Oikos · doi:10.1111/oik.02430 · Cited by 44 · see citing works
“Nevertheless, meta-analyses have raised concerns for improper generalizations (Whittaker 2010) – an issue critically assessed elsewhere (Hillebrand and Cardinale 2010).”
BackgroundSelf-citationPredator-Prey Coevolution Drives Productivity-Richness Relationships in Planktonic Systems
Pu, Z., Cortez, M. H., & Jiang, L. (2016) · The American Naturalist · doi:10.1086/689550 · Cited by 40 · see citing works
Hillebrand, H., & Lehmpfuhl, V. (2011) · The American Naturalist · doi:10.1086/660831 · Cited by 37 · see citing works
“These and other aspects of the biodiversity-productivity relationship are highly debated, as both variables are of fundamental interest for understanding ecosystem dynamics (Hillebrand and Cardinale 2010; Whittaker 2010).”
BackgroundSelf-citationModeling of phosphorus loss from field to watershed: A review
Wang, Z., Zhang, T., Tan, C. S., & Qi, Z. (2020) · Journal of Environmental Quality · doi:10.1002/jeq2.20109 · Cited by 29 · see citing works
Henry, H. A. L., Abedi, M., Alados, C. L., Beard, K. H., Fraser, L. H., Jentsch, A., Kreyling, J., Kulmatiski, A., Lamb, E. G., Sun, W. B., et al. (2018) · Ecosystems · doi:10.1007/s10021-018-0231-7 · Cited by 28 · see citing works
Mensah, S., Noulèkoun, F., Salako, K. V., Lokossou, C. S. M. J., Akouété, P., Seifert, T., & Kakaï, R. G. (2023) · Applied Vegetation Science · doi:10.1111/avsc.12732 · Cited by 28 · see citing works
Gurevitch, J., & Mengersen, K. L. (2010) · Ecology · doi:10.1890/09-1039.1 · Cited by 25 · see citing works
“As pointed out by Hillebrand and Cardinale (2010) and by many others, meta-analysis does not necessarily require that the aims of the original studies be the same, that there are no modifying factors that differ among studies, or that sampling schemes and study designs be identical among studies,…”
BackgroundSchadewell, Y., & Adams, C. I. M. (2021) · Frontiers in Marine Science · doi:10.3389/fmars.2021.668822 · Cited by 20 · see citing works
Velghe, K., & Gregory‐Eaves, I. (2013) · PLoS ONE · doi:10.1371/journal.pone.0057019 · Cited by 20 · see citing works
“The practicality of meta-analyses has sometimes been questioned in the past because they overlook peculiarities of individual studies [41], but as was emphasized by Hillebrand and Cardinale [42], ‘‘the goal of meta-analyses is to reveal pattern and process of the whole forest, not to show what’s happening on the indiv…”
BackgroundBelote, R. T., & Aplet, G. H. (2014) · Ecosphere · doi:10.1890/es13-00266.1 · Cited by 19 · see citing works
Ma, F., Yang, L., Lv, T., Zuo, Z., Zhao, H., Fan, S., Liu, C., & Yu, D. (2021) · Frontiers in Ecology and Evolution · doi:10.3389/fevo.2021.650001 · Cited by 17 · see citing works
Urrutia‐Cordero, P., Langvall, O., Blomkvist, P., Angeler, D. G., Bertilsson, S., Colom, W., Eklöv, P., Jakobsen, N. A., Klemedtsson, L., Laudon, H., et al. (2021) · Limnology and Oceanography Methods · doi:10.1002/lom3.10432 · Cited by 16 · see citing works
“…to move beyond contingencies of individual systems to fi nd common trends and differences across case studies (Gurevitch et al. 1992; Hil-lebrand 2008; Hillebrand and Cardinale 2010), dissimilarity between studies in terms of design, methods and location can, on occasions, set limits to their…”
Self-citationAquatic macrophytes alter productivity‐richness relationships in eutrophic stream food webs
Graham, S. E., O’Brien, J. M., Burrell, T. K., & McIntosh, A. R. (2015) · Ecosphere · doi:10.1890/es14-00341.1 · Cited by 16 · see citing works
Neto, G. D. S. F., Ortega, J. C. G., Carneiro, F. M., de Oliveira, S. S., Oliveira, R. C., & Baccaro, F. B. (2022) · Mammal Review · doi:10.1111/mam.12282 · Cited by 15 · see citing works
Simões, N. R., Colares, M. A. M., Lansac‐Tôha, F. A., & Bonecker, C. C. (2013) · Austral Ecology · doi:10.1111/aec.12038 · Cited by 13 · see citing works
Quality of meta‐analyses in freshwater ecology: A systematic review
Lodi, S., Godoy, B. S., Ortega, J. C. G., & Bini, L. M. (2021) · Freshwater Biology · doi:10.1111/fwb.13695 · Cited by 12 · see citing works
“This shows a need to better disseminate good practices among different research fields and to improve the quality of meta- analysis studies (Gurevitch et al., 2018; Hillebrand & Cardinale, 2010).”
Backgroundda Costa, D. F., Barbosa, J. E. D. L., & Dantas, Ê. W. (2016) · Journal of Arid Environments · doi:10.1016/j.jaridenv.2016.02.010 · Cited by 10 · see citing works
Science Mapping of Meta-Analysis in Agricultural Science
Ding, W., Li, J., Ma, H., Wu, Y., & He, H. (2023) · Information · doi:10.3390/info14110611 · Cited by 8 · see citing works
“Hillebrand and Cardinale [2] wor-ried that Whittaker [83] suggested that we “throw away the baby and bath water to-gether”.”
BackgroundMethodExperimental evaluation of diversity–productivity relationships in a coral reef fish assemblage
Messmer, V., Blowes, S. A., Jones, G. P., & Munday, P. L. (2014) · Oecologia · doi:10.1007/s00442-014-2992-9 · Cited by 8 · see citing works
In the Dragon's den: a response to the meta-analysis forum contributions
Whittaker, R. J. (2010) · Ecology · doi:10.1890/09-1650.1 · Cited by 7 · see citing works
“I recognize that other ecologists may accept the need to have stated criteria while disagreeing with the particular set that I put forward for future use (e.g., see Hillebrand and Cardinale 2010).”
BackgroundMoore, T., Febria, C. M., McIntosh, A. R., Warburton, H. J., & Harding, J. S. (2021) · Water Air & Soil Pollution · doi:10.1007/s11270-021-05169-1 · Cited by 5 · see citing works
“(1979), although current empirical tests have not shown congruence in the shape, direction, or presence of this relationship (Adler et al., 2011; Hillebrand & Cardinale, 2010; Mittelbach et al., 2001).”
BackgroundBłońska, A., Chmura, D., Hutniczak, A. K., Wilczek, Z., Jarosz, J., Besenyei, L., & Woźniak, G. (2022) · Sustainability · doi:10.3390/su141911851 · Cited by 5 · see citing works
Ma, F., Yang, L., Zhang, C., Tao, M., Yu, H., Liu, C., & Yu, D. (2021) · Aquatic Sciences · doi:10.1007/s00027-021-00833-4 · Cited by 4 · see citing works
“In this study, community productivity is referred to the total biomass of all species within plot since biomass is a surrogate of the potential productivity of a system (Hillebrand and Cardinale 2010).”
BackgroundThe relative importance of various mating criteria in copepods
Powers, M. J., Wilson, A. E., Heine, K. B., & Hill, G. E. (2019) · Journal of Plankton Research · doi:10.1093/plankt/fbz075 · Cited by 4 · see citing works
Mechanisms and mitigation of food web change in stream ecosystems
Graham, S. E. (2013) · UC Research Repository (University of Canterbury) · doi:10.26021/7565 · Cited by 3 · see citing works
Forey, O., & Linquist, S. (2020) · History & Philosophy of the Life Sciences · doi:10.1007/s40656-020-00336-9 · Cited by 2 · see citing works
Carbon Sequestration and Forest Rotation Age: A Meta-Regression
Ning, Z., Chen, V., & Sun, C. (2025) · Forest Science · doi:10.1007/s44391-025-00039-3 · Cited by 1 · see citing works
Cusens, J. (2011) · Tuwhera (Auckland University of Technology) · Cited by 1 · see citing works
Leukemia Diagnosis Made Easy: A Machine Learning Solution Using Blood Smear Images
Lakshmi, D. L., & Goutham, V. (2023) · International Conference on Mobile Networks and Wireless Communications (ICMNWC) · doi:10.1109/icmnwc60182.2023.10435943
“[4][15] Introducing an innovative approach, they presented a method known as inter-class sparsity based discriminative least square regression (ICS_DLSR) for multi-class classification.”
MethodPolyculture of marine algae: Best combination for biomass, biochemical, and biodiesel properties
Vahdat, S., Noori, F., Stappen, G. V., & Agh, N. (2025) · Journal of Phycology · doi:10.1111/jpy.70081
“This approach ensures applicability in practical settings while maintaining ecological balance (Hillebrand & Cardinale, 2010).”
Biodiversity-ecosystem service relationships in degraded and recovering ecosytems
Martin, P. A. (2014) · Bournemouth University Research Online (Bournemouth University)
- Authors
- Hillebrand, H., & Cardinale, B. J.
- Affiliations
- Carl von Ossietzky Universität Oldenburg (DE)
- University of California, Santa Barbara (US)
- Corresponding author
- Hillebrand, Helmut
- Venue
- Ecology
- Publisher
- Wiley
- Published
- 2010-09
- Volume
- 91
- Issue
- 9
- Pages
- 2545-2549
- ISSN
- 0012-9658 (ISSN-L)
- 1939-9170
- OpenAlex
- W2071771192
- Cited by
- 53
- References
- 41
- Citations by year
- 2025: 2 · 2024: 1 · 2023: 4 · 2022: 3 · 2021: 6 · 2020: 4 · 2019: 2 · 2018: 4 · 2016: 3 · 2015: 2 · 2014: 6 · 2013: 4 · 2012: 6
- FWCI
- 4.28
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Ecology (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Physical Sciences › Environmental Science › Nature and Landscape Conservation › Ecology and Vegetation Dynamics Studies
- Physical Sciences › Environmental Science › Ecology › Microbial Community Ecology and Physiology
- Physical Sciences › Environmental Science › Global and Planetary Change › Land Use and Ecosystem Services
- Keywords
- diversity-productivity relationship, meta-analysis critique, biodiversity, ecosystem productivity
- MeSH terms
- Ecology, Population Dynamics, Research, Research Design, Meta-Analysis as Topic, Biodiversity
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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