Species co-occurrence networks Can they reveal trophic and non-trophic interactions in ecological communities?

Co-occurrence methods are increasingly utilized in ecology to infer networks of species interactions where detailed knowledge based on empirical studies is difficult to obtain. Their use is particularly common, but not restricted to, microbial networks constructed from metagenomic analyses. In this...

Celý popis

Uložené v:

Podrobná bibliografia
Vydané v:	Ecology (Durham) Ročník 99; číslo 3; s. 690 - 699
Hlavní autori:	Freilich, Mara A., Wieters, Evie, Broitman, Bernardo R., Marquet, Pablo A., Navarrete, Sergio A.
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	United States John Wiley and Sons, Inc 01.03.2018 Ecological Society of America
Predmet:	anthropogenic impacts biocenosis Biota Chile Commensalism Communities co‐occurrence Ecological effects ecological networks Ecology Empirical analysis Environmental conditions Environmental effects environmental factors Food Chain food webs intertidal Intertidal zone Keystone species littoral zone metagenomics Microorganisms Mixtures Networks non‐trophic interactions probability Sensitivity species interactions Stability analysis Symbiosis Trophic relationships Chile co-occurrence anthropogenic impacts ecological networks species interactions food webs keystone species non-trophic interactions intertidal
ISSN:	0012-9658, 1939-9170
On-line prístup:	Získať plný text
Tagy:	Pridať tag Žiadne tagy, Buďte prvý, kto otaguje tento záznam!

Abstract	Co-occurrence methods are increasingly utilized in ecology to infer networks of species interactions where detailed knowledge based on empirical studies is difficult to obtain. Their use is particularly common, but not restricted to, microbial networks constructed from metagenomic analyses. In this study, we test the efficacy of this procedure by comparing an inferred network constructed using spatially intensive co-occurrence data from the rocky intertidal zone in central Chile to a well-resolved, empirically based, species interaction network from the same region. We evaluated the overlap in the information provided by each network and the extent to which there is a bias for co-occurrence data to better detect known trophic or non-trophic, positive or negative interactions. We found a poor correspondence between the co-occurrence network and the known species interactions with overall sensitivity (probability of true link detection) equal to 0.469, and specificity (true non-interaction) equal to 0.527. The ability to detect interactions varied with interaction type. Positive non-trophic interactions such as commensalism and facilitation were detected at the highest rates. These results demonstrate that co-occurrence networks do not represent classical ecological networks in which interactions are defined by direct observations or experimental manipulations. Co-occurrence networks provide information about the joint spatial effects of environmental conditions, recruitment, and, to some extent, biotic interactions, and among the latter, they tend to better detect niche-expanding positive non-trophic interactions. Detection of links (sensitivity or specificity) was not higher for well-known intertidal keystone species than for the rest of consumers in the community. Thus, as observed in previous empirical and theoretical studies, patterns of interactions in co-occurrence networks must be interpreted with caution, especially when extending interaction-based ecological theory to interpret network variability and stability. Co-occurrence networks may be particularly valuable for analysis of community dynamics that blends interactions and environment, rather than pairwise interactions alone.
AbstractList	Co-occurrence methods are increasingly utilized in ecology to infer networks of species interactions where detailed knowledge based on empirical studies is difficult to obtain. Their use is particularly common, but not restricted to, microbial networks constructed from metagenomic analyses. In this study, we test the efficacy of this procedure by comparing an inferred network constructed using spatially intensive co-occurrence data from the rocky intertidal zone in central Chile to a well-resolved, empirically based, species interaction network from the same region. We evaluated the overlap in the information provided by each network and the extent to which there is a bias for co-occurrence data to better detect known trophic or non-trophic, positive or negative interactions. We found a poor correspondence between the co-occurrence network and the known species interactions with overall sensitivity (probability of true link detection) equal to 0.469, and specificity (true non-interaction) equal to 0.527. The ability to detect interactions varied with interaction type. Positive non-trophic interactions such as commensalism and facilitation were detected at the highest rates. These results demonstrate that co-occurrence networks do not represent classical ecological networks in which interactions are defined by direct observations or experimental manipulations. Co-occurrence networks provide information about the joint spatial effects of environmental conditions, recruitment, and, to some extent, biotic interactions, and among the latter, they tend to better detect niche-expanding positive non-trophic interactions. Detection of links (sensitivity or specificity) was not higher for well-known intertidal keystone species than for the rest of consumers in the community. Thus, as observed in previous empirical and theoretical studies, patterns of interactions in co-occurrence networks must be interpreted with caution, especially when extending interaction-based ecological theory to interpret network variability and stability. Co-occurrence networks may be particularly valuable for analysis of community dynamics that blends interactions and environment, rather than pairwise interactions alone. Co-occurrence methods are increasingly utilized in ecology to infer networks of species interactions where detailed knowledge based on empirical studies is difficult to obtain. Their use is particularly common, but not restricted to, microbial networks constructed from metagenomic analyses. In this study, we test the efficacy of this procedure by comparing an inferred network constructed using spatially intensive co-occurrence data from the rocky intertidal zone in central Chile to a well-resolved, empirically based, species interaction network from the same region. We evaluated the overlap in the information provided by each network and the extent to which there is a bias for co-occurrence data to better detect known trophic or non-trophic, positive or negative interactions. We found a poor correspondence between the co-occurrence network and the known species interactions with overall sensitivity (probability of true link detection) equal to 0.469, and specificity (true non-interaction) equal to 0.527. The ability to detect interactions varied with interaction type. Positive non-trophic interactions such as commensalism and facilitation were detected at the highest rates. These results demonstrate that co-occurrence networks do not represent classical ecological networks in which interactions are defined by direct observations or experimental manipulations. Co-occurrence networks provide information about the joint spatial effects of environmental conditions, recruitment, and, to some extent, biotic interactions, and among the latter, they tend to better detect niche-expanding positive non-trophic interactions. Detection of links (sensitivity or specificity) was not higher for well-known intertidal keystone species than for the rest of consumers in the community. Thus, as observed in previous empirical and theoretical studies, patterns of interactions in co-occurrence networks must be interpreted with caution, especially when extending interaction-based ecological theory to interpret network variability and stability. Co-occurrence networks may be particularly valuable for analysis of community dynamics that blends interactions and environment, rather than pairwise interactions alone.Co-occurrence methods are increasingly utilized in ecology to infer networks of species interactions where detailed knowledge based on empirical studies is difficult to obtain. Their use is particularly common, but not restricted to, microbial networks constructed from metagenomic analyses. In this study, we test the efficacy of this procedure by comparing an inferred network constructed using spatially intensive co-occurrence data from the rocky intertidal zone in central Chile to a well-resolved, empirically based, species interaction network from the same region. We evaluated the overlap in the information provided by each network and the extent to which there is a bias for co-occurrence data to better detect known trophic or non-trophic, positive or negative interactions. We found a poor correspondence between the co-occurrence network and the known species interactions with overall sensitivity (probability of true link detection) equal to 0.469, and specificity (true non-interaction) equal to 0.527. The ability to detect interactions varied with interaction type. Positive non-trophic interactions such as commensalism and facilitation were detected at the highest rates. These results demonstrate that co-occurrence networks do not represent classical ecological networks in which interactions are defined by direct observations or experimental manipulations. Co-occurrence networks provide information about the joint spatial effects of environmental conditions, recruitment, and, to some extent, biotic interactions, and among the latter, they tend to better detect niche-expanding positive non-trophic interactions. Detection of links (sensitivity or specificity) was not higher for well-known intertidal keystone species than for the rest of consumers in the community. Thus, as observed in previous empirical and theoretical studies, patterns of interactions in co-occurrence networks must be interpreted with caution, especially when extending interaction-based ecological theory to interpret network variability and stability. Co-occurrence networks may be particularly valuable for analysis of community dynamics that blends interactions and environment, rather than pairwise interactions alone.
Author	Freilich, Mara A. Broitman, Bernardo R. Navarrete, Sergio A. Marquet, Pablo A. Wieters, Evie
Author_xml	– sequence: 1 givenname: Mara A. surname: Freilich fullname: Freilich, Mara A. – sequence: 2 givenname: Evie surname: Wieters fullname: Wieters, Evie – sequence: 3 givenname: Bernardo R. surname: Broitman fullname: Broitman, Bernardo R. – sequence: 4 givenname: Pablo A. surname: Marquet fullname: Marquet, Pablo A. – sequence: 5 givenname: Sergio A. surname: Navarrete fullname: Navarrete, Sergio A.
BackLink	https://www.ncbi.nlm.nih.gov/pubmed/29336480$$D View this record in MEDLINE/PubMed
BookMark	eNqF0U1LxDAQBuAgiq6r4B9wEbx46Tr5apOjLH7Bggf14Cm06RS6dps1aVn23xvpqiCKueSQJ8PMvIdkt3UtEnJCYUoB2CXazZRRwXbIiGquE00z2CUjAMoSnUp1QA5DWEA8VKh9csA056lQMCKTxxXaGsOZdYmztvceW4tnLXZr51_DEdmr8ibg8fYek-eb66fZXTJ_uL2fXc0TK0CwhGIpq5LnZQYllAp1XjCoMlWpNCuYKtISQcYnnmmeopBMFoACKFgreE4tH5OLoe7Ku7ceQ2eWdbDYNHmLrg-GgeRKC8bFv5RqpWXGWSojPf9BF673bRwkFgTNeKbiIsZkslV9scTSrHy9zP3GfC4pgukArHcheKyMrbu8q13b-bxuDAXzkYKJKZiPFL5b_PrwWfMXmgx0XTe4-dOZ69nL1p8OfhE65797TVMmqJL8HVzamz0
CitedBy_id	crossref_primary_10_1094_PBIOMES_01_19_0006_W_2019_1_test crossref_primary_10_1016_j_watres_2022_118640 crossref_primary_10_1111_1462_2920_15298 crossref_primary_10_1016_j_scitotenv_2021_145672 crossref_primary_10_3390_d17060382 crossref_primary_10_1007_s00374_025_01922_4 crossref_primary_10_1016_j_soilbio_2021_108534 crossref_primary_10_1016_j_ecolind_2022_109489 crossref_primary_10_1111_1365_2656_13784 crossref_primary_10_1016_j_envpol_2025_127004 crossref_primary_10_1016_j_foodres_2023_113466 crossref_primary_10_1111_ecog_04360 crossref_primary_10_1111_mec_17771 crossref_primary_10_1016_j_agee_2024_109190 crossref_primary_10_1128_spectrum_03178_22 crossref_primary_10_1038_s41467_023_41424_1 crossref_primary_10_1186_s13717_024_00574_w crossref_primary_10_1007_s00227_022_04155_3 crossref_primary_10_1111_ejss_70018 crossref_primary_10_1093_femsec_fiae017 crossref_primary_10_1111_ele_13525 crossref_primary_10_1016_j_jhazmat_2022_129996 crossref_primary_10_1038_s41559_023_02245_z crossref_primary_10_1038_s41396_021_00913_1 crossref_primary_10_1016_j_envres_2024_119152 crossref_primary_10_1016_j_actatropica_2022_106757 crossref_primary_10_3390_microorganisms9030549 crossref_primary_10_1007_s11368_023_03477_z crossref_primary_10_1111_geb_70006 crossref_primary_10_1038_s41467_019_14105_1 crossref_primary_10_1128_msystems_01022_21 crossref_primary_10_1128_AEM_01861_20 crossref_primary_10_3389_fmars_2022_987162 crossref_primary_10_1002_edn3_70034 crossref_primary_10_3389_fpls_2022_1000045 crossref_primary_10_1038_s41598_021_97300_9 crossref_primary_10_1002_ecy_70175 crossref_primary_10_1186_s40663_021_00351_7 crossref_primary_10_1002_ecs2_4732 crossref_primary_10_1016_S1002_0160_21_60056_5 crossref_primary_10_1016_j_fooweb_2023_e00333 crossref_primary_10_1016_j_micres_2024_127936 crossref_primary_10_1111_oik_07850 crossref_primary_10_1038_s41396_019_0463_3 crossref_primary_10_1002_ece3_5751 crossref_primary_10_1111_1755_0998_13079 crossref_primary_10_3390_plants14132018 crossref_primary_10_1094_MPMI_09_22_0188_R crossref_primary_10_1111_icad_12605 crossref_primary_10_1128_spectrum_00610_24 crossref_primary_10_1016_j_tim_2024_02_003 crossref_primary_10_1371_journal_pone_0292919 crossref_primary_10_1016_j_soilbio_2023_109177 crossref_primary_10_1016_j_scitotenv_2022_159355 crossref_primary_10_1111_1462_2920_70001 crossref_primary_10_1093_jxb_erz572 crossref_primary_10_1016_j_isci_2021_102271 crossref_primary_10_1038_s41467_018_05516_7 crossref_primary_10_1016_j_rsma_2020_101341 crossref_primary_10_1007_s11104_024_07189_2 crossref_primary_10_1111_geb_12825 crossref_primary_10_1016_j_envres_2022_114353 crossref_primary_10_1128_msystems_01052_20 crossref_primary_10_1186_s13717_024_00552_2 crossref_primary_10_1007_s11104_020_04602_4 crossref_primary_10_1111_ele_14481 crossref_primary_10_3389_fmicb_2021_780015 crossref_primary_10_1111_ele_14240 crossref_primary_10_1038_s41559_023_02254_y crossref_primary_10_3390_agronomy14102348 crossref_primary_10_1111_ecog_05135 crossref_primary_10_1128_mSystems_00344_21 crossref_primary_10_1016_j_agee_2020_107249 crossref_primary_10_3389_fmars_2022_751094 crossref_primary_10_1093_jambio_lxad175 crossref_primary_10_1016_j_apsoil_2021_104184 crossref_primary_10_1016_j_jhazmat_2025_138151 crossref_primary_10_1016_j_apsoil_2024_105733 crossref_primary_10_1016_j_soilbio_2021_108349 crossref_primary_10_1016_j_apsoil_2022_104801 crossref_primary_10_1016_j_apsoil_2023_104900 crossref_primary_10_3389_fmicb_2025_1513944 crossref_primary_10_1002_ece3_7958 crossref_primary_10_3389_fevo_2019_00103 crossref_primary_10_1038_s41396_020_0723_2 crossref_primary_10_1016_j_scitotenv_2020_139588 crossref_primary_10_1186_s40168_024_01868_z crossref_primary_10_1016_j_ecolind_2023_110548 crossref_primary_10_1002_ecm_1469 crossref_primary_10_1371_journal_pone_0302794 crossref_primary_10_1016_j_ecolind_2025_113727 crossref_primary_10_1016_j_ecss_2021_107623 crossref_primary_10_1016_j_mib_2023_102354 crossref_primary_10_1016_j_psep_2024_09_106 crossref_primary_10_1038_s43705_021_00036_w crossref_primary_10_3389_fmicb_2024_1279536 crossref_primary_10_1016_j_watres_2023_120587 crossref_primary_10_1128_aem_02078_23 crossref_primary_10_1093_femsec_fiaa123 crossref_primary_10_1098_rstb_2023_0169 crossref_primary_10_1016_j_envint_2024_108516 crossref_primary_10_1002_ecy_3745 crossref_primary_10_1016_j_tree_2021_01_002 crossref_primary_10_1016_j_apsoil_2024_105827 crossref_primary_10_1016_j_soilbio_2021_108230 crossref_primary_10_1002_imt2_106 crossref_primary_10_1016_j_scitotenv_2020_138166 crossref_primary_10_1108_IJEM_04_2023_0189 crossref_primary_10_1111_jbi_14734 crossref_primary_10_3389_fmicb_2022_841686 crossref_primary_10_1111_ddi_70077 crossref_primary_10_1016_j_apsoil_2024_105396 crossref_primary_10_1016_j_ecolind_2022_109355 crossref_primary_10_1016_j_jece_2025_118148 crossref_primary_10_1007_s13744_024_01136_7 crossref_primary_10_1111_1755_0998_13794 crossref_primary_10_1002_lno_11697 crossref_primary_10_1002_ecy_3999 crossref_primary_10_1111_mec_17701 crossref_primary_10_3389_fpls_2022_1036369 crossref_primary_10_1002_ece3_70498 crossref_primary_10_3389_fmicb_2023_1288304 crossref_primary_10_1146_annurev_ecolsys_012220_120819 crossref_primary_10_1016_j_micres_2021_126897 crossref_primary_10_1080_17550874_2019_1626509 crossref_primary_10_1016_j_scitotenv_2024_176919 crossref_primary_10_1007_s42773_023_00247_5 crossref_primary_10_1016_j_soilbio_2019_03_030 crossref_primary_10_1002_ece3_8032 crossref_primary_10_1128_msphere_00918_21 crossref_primary_10_1016_j_scitotenv_2024_171285 crossref_primary_10_1093_femsec_fiab156 crossref_primary_10_1016_j_apsoil_2025_106331 crossref_primary_10_1038_s41396_020_00882_x crossref_primary_10_1038_s41598_019_40422_y crossref_primary_10_1556_1777_2025_00074 crossref_primary_10_3389_fmicb_2022_1016608 crossref_primary_10_3389_fmicb_2023_1214186 crossref_primary_10_1002_ecy_3165 crossref_primary_10_1111_jfb_14752 crossref_primary_10_1111_brv_12842 crossref_primary_10_3389_fmicb_2023_1177239 crossref_primary_10_1080_17451000_2022_2105895 crossref_primary_10_1093_femsec_fiz092 crossref_primary_10_1186_s40168_022_01367_z crossref_primary_10_7717_peerj_11949 crossref_primary_10_1007_s11274_025_04456_x crossref_primary_10_3390_microorganisms11030544 crossref_primary_10_1111_1462_2920_14378 crossref_primary_10_7717_peerj_13205 crossref_primary_10_1111_oik_09282 crossref_primary_10_1186_s40168_025_02035_8 crossref_primary_10_1098_rstb_2023_0174 crossref_primary_10_1016_j_biortech_2023_128853 crossref_primary_10_1128_spectrum_02056_24 crossref_primary_10_1007_s00128_021_03306_4 crossref_primary_10_3389_fmicb_2022_779196 crossref_primary_10_1016_j_geoderma_2023_116340 crossref_primary_10_1038_s41598_022_26293_w crossref_primary_10_1038_s41396_019_0383_2 crossref_primary_10_1111_oik_08756 crossref_primary_10_7717_peerj_7013 crossref_primary_10_1016_j_scitotenv_2023_164589 crossref_primary_10_1186_s40793_022_00417_1 crossref_primary_10_1002_ldr_4414 crossref_primary_10_1016_j_ecss_2025_109528 crossref_primary_10_1016_j_soilbio_2023_109231 crossref_primary_10_3389_fmicb_2024_1380953 crossref_primary_10_1016_j_ijhydene_2020_08_189 crossref_primary_10_1016_j_apsoil_2025_106236 crossref_primary_10_1111_ecog_06605 crossref_primary_10_1016_j_marenvres_2023_106262 crossref_primary_10_3390_agronomy15040851 crossref_primary_10_3389_fmicb_2025_1553070 crossref_primary_10_1016_j_jenvman_2021_114380 crossref_primary_10_3389_fevo_2023_1139285 crossref_primary_10_1111_jbi_15106 crossref_primary_10_1016_j_scitotenv_2023_162831 crossref_primary_10_1111_ele_70045 crossref_primary_10_3390_microorganisms8060956 crossref_primary_10_1016_j_ecolind_2025_114058 crossref_primary_10_3389_fenvs_2019_00197 crossref_primary_10_3390_agriculture14112022 crossref_primary_10_1038_s41559_019_1053_5 crossref_primary_10_1111_1365_2745_13080 crossref_primary_10_1371_journal_pone_0200179 crossref_primary_10_1007_s00114_023_01837_w crossref_primary_10_1111_geb_13922 crossref_primary_10_1111_1365_2656_70085 crossref_primary_10_3390_agriculture11111113 crossref_primary_10_1016_j_chemosphere_2021_130457 crossref_primary_10_1111_oik_10299 crossref_primary_10_1016_j_agee_2020_107147 crossref_primary_10_1080_13416979_2023_2265006 crossref_primary_10_1002_ecy_3834 crossref_primary_10_1016_j_watres_2019_114893 crossref_primary_10_1016_j_envres_2024_119330 crossref_primary_10_1093_femsre_fuy030 crossref_primary_10_1016_j_agee_2021_107559 crossref_primary_10_1111_1748_5967_12728 crossref_primary_10_1002_jsfa_13696 crossref_primary_10_1038_s41396_018_0321_8 crossref_primary_10_3389_fmicb_2022_971437 crossref_primary_10_1016_j_marpolbul_2024_116832 crossref_primary_10_3389_fgene_2023_1219085 crossref_primary_10_1016_j_apsoil_2022_104630 crossref_primary_10_1016_j_scitotenv_2022_155397 crossref_primary_10_1128_aem_00296_24 crossref_primary_10_1128_msystems_00477_21 crossref_primary_10_1007_s11368_023_03454_6 crossref_primary_10_1016_j_envres_2022_114512 crossref_primary_10_1186_s40168_020_00875_0 crossref_primary_10_3390_ijerph192416921 crossref_primary_10_1007_s00442_022_05252_2 crossref_primary_10_3389_fmicb_2022_840774 crossref_primary_10_1093_femsec_fiad022 crossref_primary_10_1016_j_lssr_2023_04_005 crossref_primary_10_1007_s11258_021_01143_3 crossref_primary_10_1016_j_jece_2024_113334 crossref_primary_10_1007_s10750_021_04681_z crossref_primary_10_1016_j_jnc_2025_126860 crossref_primary_10_1007_s10750_019_04100_4 crossref_primary_10_1038_s43705_022_00106_7 crossref_primary_10_1371_journal_pone_0208720 crossref_primary_10_1111_jbi_14106 crossref_primary_10_1111_jvs_12795 crossref_primary_10_1186_s40168_024_01887_w crossref_primary_10_3389_fmicb_2022_931795 crossref_primary_10_1128_Spectrum_01751_21 crossref_primary_10_1002_eap_2212 crossref_primary_10_3389_fmicb_2020_618287 crossref_primary_10_1111_ele_13897 crossref_primary_10_59717_j_xinn_geo_2024_100064 crossref_primary_10_1007_s10750_023_05355_8 crossref_primary_10_3390_microorganisms11112783 crossref_primary_10_3390_agriculture15121274 crossref_primary_10_3389_fmicb_2023_1214167 crossref_primary_10_1111_ecog_04461 crossref_primary_10_1016_j_jece_2025_119069 crossref_primary_10_1111_mec_15494 crossref_primary_10_1002_edn3_452 crossref_primary_10_1016_j_catena_2021_105212 crossref_primary_10_1093_plankt_fbaf047 crossref_primary_10_1111_ele_14509 crossref_primary_10_1002_imt2_71 crossref_primary_10_1038_s41586_021_03241_8 crossref_primary_10_1016_j_scitotenv_2022_157407 crossref_primary_10_3390_microorganisms7090284 crossref_primary_10_1016_j_watres_2023_119882 crossref_primary_10_1111_1365_2664_13427 crossref_primary_10_3390_microorganisms9081555 crossref_primary_10_3389_fmicb_2023_1312419 crossref_primary_10_3389_fmars_2022_1039387 crossref_primary_10_1111_1365_2656_13698 crossref_primary_10_3389_fmicb_2019_02736 crossref_primary_10_1016_j_fooweb_2022_e00246 crossref_primary_10_1016_j_hal_2024_102702 crossref_primary_10_1002_imt2_2 crossref_primary_10_1038_s42003_018_0260_y crossref_primary_10_1038_s41396_019_0459_z crossref_primary_10_1111_jeu_12813 crossref_primary_10_1111_1462_2920_14715 crossref_primary_10_1017_S0031182024000969 crossref_primary_10_1016_j_catena_2022_106057 crossref_primary_10_1016_j_rsma_2021_102015
Cites_doi	10.1016/j.mib.2015.04.004 10.2307/2937163 10.1890/03-4060 10.1890/13-1424.1 10.1038/s41598-017-07009-x 10.3354/meps068113 10.1073/pnas.0509119102 10.1111/j.1439-0485.1986.tb00158.x 10.1038/nature20139 10.3390/e19120547 10.1890/11-1394.1 10.1007/s12080-007-0007-8 10.1007/s12080-015-0281-9 10.1890/13-0472.1 10.1371/journal.pbio.0060102 10.1371/journal.pbio.1002527 10.1086/282400 10.4067/S0718-19572013000300003 10.1890/03-0245 10.1371/journal.pone.0005725 10.1111/jbi.12318 10.1111/j.0030-1299.2004.12981.x 10.3354/meps224021 10.1111/oik.04285 10.1038/nrmicro2832 10.1515/9781400848720 10.4067/S0716-078X2011000100011 10.1038/18672 10.1126/science.1187820 10.1146/annurev-ecolsys-110316-022628 10.1016/S0169-5347(99)01602-X 10.1034/j.1600-0706.2001.930112.x 10.1111/j.0021-8790.2004.00833.x 10.2307/1312990 10.1016/j.tree.2015.03.014 10.1034/j.1600-0706.2002.970201.x 10.1016/j.jtbi.2009.09.026 10.1038/nrmicro3417 10.1086/674898 10.3354/meps10931 10.1046/j.1461-0248.2002.00354.x 10.1111/j.1461-0248.2006.00997.x 10.1016/j.ecolmodel.2012.10.007 10.1006/jtbi.2001.2460 10.4319/lo.2009.54.4.1060 10.1007/s00442-002-0929-1 10.1098/rspb.2014.1425 10.1111/j.1600-0587.2011.06919.x 10.1034/j.1600-0706.2003.11996.x 10.1371/journal.pone.0046205 10.2307/1933500 10.1111/j.1461-0248.2009.01427.x 10.1111/j.1600-0706.2012.20325.x 10.1016/S0022-0981(97)00023-3 10.3354/meps07421
ContentType	Journal Article
Copyright	2018 by the Ecological Society of America 2018 by the Ecological Society of America. 2018 Ecological Society of America
Copyright_xml	– notice: 2018 by the Ecological Society of America – notice: 2018 by the Ecological Society of America. – notice: 2018 Ecological Society of America
DBID	AAYXX CITATION CGR CUY CVF ECM EIF NPM 7QG 7SN 7SS 7ST 7T7 8FD C1K FR3 K9. P64 RC3 SOI 7X8 7S9 L.6
DOI	10.1002/ecy.2142
DatabaseName	CrossRef Medline MEDLINE MEDLINE (Ovid) MEDLINE MEDLINE PubMed Animal Behavior Abstracts Ecology Abstracts Entomology Abstracts (Full archive) Environment Abstracts Industrial and Applied Microbiology Abstracts (Microbiology A) Technology Research Database Environmental Sciences and Pollution Management Engineering Research Database ProQuest Health & Medical Complete (Alumni) Biotechnology and BioEngineering Abstracts Genetics Abstracts Environment Abstracts MEDLINE - Academic AGRICOLA AGRICOLA - Academic
DatabaseTitle	CrossRef MEDLINE Medline Complete MEDLINE with Full Text PubMed MEDLINE (Ovid) Entomology Abstracts Genetics Abstracts Technology Research Database Animal Behavior Abstracts ProQuest Health & Medical Complete (Alumni) Engineering Research Database Ecology Abstracts Industrial and Applied Microbiology Abstracts (Microbiology A) Environment Abstracts Biotechnology and BioEngineering Abstracts Environmental Sciences and Pollution Management MEDLINE - Academic AGRICOLA AGRICOLA - Academic
DatabaseTitleList	MEDLINE MEDLINE - Academic AGRICOLA Entomology Abstracts CrossRef
Database_xml	– sequence: 1 dbid: NPM name: PubMed url: http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed sourceTypes: Index Database – sequence: 2 dbid: 7X8 name: MEDLINE - Academic url: https://search.proquest.com/medline sourceTypes: Aggregation Database
DeliveryMethod	fulltext_linktorsrc
Discipline	Biology Ecology Environmental Sciences
EISSN	1939-9170
EndPage	699
ExternalDocumentID	29336480 10_1002_ecy_2142 ECY2142 26624185
Genre	article Research Support, Non-U.S. Gov't Journal Article
GeographicLocations	Chile
GeographicLocations_xml	– name: Chile
GrantInformation_xml	– fundername: Center for Marine Conservation – fundername: PIA‐CONICYT‐Chile – fundername: Programa de Financiamiento Basal – fundername: Iniciativa Científica Milenio of the Ministerio de Economia, Fomento y Turismo
GroupedDBID	--- -~X 0R~ 1OB 1OC 2AX 33P 4.4 5GY 85S AAESR AAHBH AAHKG AAHQN AAIHA AAISJ AAKGQ AAMMB AAMNL AANLZ AASGY AAXRX AAYCA AAZKR ABAWQ ABBHK ABCUV ABEFU ABGFU ABJNI ABLJU ABPFR ABPLY ABPPZ ABPQH ABSQW ABTLG ABXSQ ACAHQ ACCZN ACGFO ACGFS ACGOD ACHIC ACHJO ACKOT ACNCT ACPOU ACPRK ACSTJ ACUBG ACXBN ACXQS ADBBV ADKYN ADMHG ADOZA ADULT ADXAS ADZMN AEFGJ AEGXH AEIGN AENEX AEUPB AEUYR AEYWJ AFAZZ AFBPY AFFPM AFRAH AFWVQ AFXHP AFZJQ AGHNM AGUYK AGXDD AGYGG AHBTC AHXOZ AIAGR AIDAL AIDQK AIDYY AILXY AITYG AIURR ALIPV ALMA_UNASSIGNED_HOLDINGS ALUQN ALVPJ AMYDB AQVQM AZFZN AZVAB BENPR BFHJK BKOMP BMXJE BRXPI CBGCD CS3 CUYZI D0L DCZOG DEVKO DRFUL DRSTM DU5 EBS ECGQY EJD F5P HF~ HGLYW IAO IEA IGH IGS IOF IPO IPSME JAAYA JAS JBMMH JBS JBZCM JEB JENOY JHFFW JKQEH JLEZI JLS JLXEF JPL JPM JST LATKE LEEKS LITHE LOXES LU7 LUTES LYRES MEWTI MV1 MW2 N9A NHB NXSMM O9- OK1 P2P P2W PALCI ROL RSZ RWL RXW SA0 SJN SUPJJ TAE TN5 U5U UHB UKR V62 WBKPD WH7 WOHZO WXSBR XSW YR2 YV5 YYM YZZ Z0I ZCA ZO4 ZZTAW ~02 ~KM .-4 0VX 29G 2KS 3V. 42X 53G 692 6TJ 7X2 7X7 7XC 88A 88E 88I 8CJ 8FE 8FH 8FI 8FJ 8G5 8R4 8R5 8WZ A.K A6W AAFWJ AAHHS ABDQB ABRJW ABUWG ABYAD ACCFJ ACKIV ACTWD ADZOD AEEZP AEQDE AEUQT AEUYN AFKRA AFQQW AGNAY AIWBW AJBDE AS~ ATCPS AZQEC BBNVY BCR BCU BEC BES BHPHI BKSAR BLC BPHCQ BVXVI C1A CCPQU D1J DDYGU DOOOF DWQXO E.L FVMVE FYUFA GNUQQ GTFYD GUQSH HCIFZ HGD HMCUK HQ2 HTVGU HVGLF IAG IEP ITC JSODD KQ8 LK8 M0K M0L M1P M2O M2P M7P MVM OMK PATMY PCBAR PQQKQ PRG PROAC PSQYO PYCSY Q2X QZG R05 RJQFR SAMSI SJFOW UBC UKHRP VOH VQA WHG WYJ XIH Y6R YXE YYP ZCG AAYXX ABUFD ADXHL AFFHD AIQQE CITATION LH4 PHGZM PHGZT PJZUB PPXIY PQGLB CGR CUY CVF ECM EIF NPM VXZ YIN Z5M 7QG 7SN 7SS 7ST 7T7 8FD C1K FR3 K9. P64 RC3 SOI 7X8 7S9 L.6
ID	FETCH-LOGICAL-c4042-1ed5fd3ad70d0d8e9ab20f78f867b28b6de050d037936e4525b0e4010cc43a1c3
IEDL.DBID	DRFUL
ISICitedReferencesCount	292
ISICitedReferencesURI	http://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=Summon&SrcAuth=ProQuest&DestLinkType=CitingArticles&DestApp=WOS_CPL&KeyUT=000426499800018&url=https%3A%2F%2Fcvtisr.summon.serialssolutions.com%2F%23%21%2Fsearch%3Fho%3Df%26include.ft.matches%3Dt%26l%3Dnull%26q%3D
ISSN	0012-9658
IngestDate	Fri Sep 05 17:29:26 EDT 2025 Sun Nov 09 14:37:32 EST 2025 Mon Oct 06 17:22:46 EDT 2025 Wed Feb 19 02:35:13 EST 2025 Tue Nov 18 22:12:52 EST 2025 Sat Nov 29 03:24:12 EST 2025 Wed Jan 22 16:48:15 EST 2025 Thu Jul 03 22:31:12 EDT 2025
IsPeerReviewed	true
IsScholarly	true
Issue	3
Keywords	co-occurrence anthropogenic impacts ecological networks species interactions food webs keystone species non-trophic interactions intertidal
Language	English
License	http://onlinelibrary.wiley.com/termsAndConditions#vor 2018 by the Ecological Society of America.
LinkModel	DirectLink
MergedId	FETCHMERGED-LOGICAL-c4042-1ed5fd3ad70d0d8e9ab20f78f867b28b6de050d037936e4525b0e4010cc43a1c3
Notes	ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 content type line 23
ORCID	0000-0003-0487-8518
PMID	29336480
PQID	2009237893
PQPubID	34868
PageCount	10
ParticipantIDs	proquest_miscellaneous_2053894234 proquest_miscellaneous_1989573265 proquest_journals_2009237893 pubmed_primary_29336480 crossref_citationtrail_10_1002_ecy_2142 crossref_primary_10_1002_ecy_2142 wiley_primary_10_1002_ecy_2142_ECY2142 jstor_primary_26624185
PublicationCentury	2000
PublicationDate	20180301 March 2018 2018-03-00
PublicationDateYYYYMMDD	2018-03-01
PublicationDate_xml	– month: 3 year: 2018 text: 20180301 day: 1
PublicationDecade	2010
PublicationPlace	United States
PublicationPlace_xml	– name: United States – name: Brooklyn
PublicationTitle	Ecology (Durham)
PublicationTitleAlternate	Ecology
PublicationYear	2018
Publisher	John Wiley and Sons, Inc Ecological Society of America
Publisher_xml	– name: John Wiley and Sons, Inc – name: Ecological Society of America
References	2001; 93 2017; 7 2010; 13 2017; 48 2013; 248 2015; 30 1975 2013; 122 2010; 262 1994; 69 2016; 540 2008; 5 2008; 1 2012; 10 2001; 224 1994; 64 2004; 74 2004; 73 2009; 54 1986; 7 2005; 102 1999; 14 1961; 42 2014; 281 2014; 95 2017; 126 2015; 13 1997; 214 2013; 48 2004; 300 2010; 328 2002; 132 2002; 5 2015; 96 2011; 84 1996 2002; 214 2011; 34 2014; 41 2007; 10 2004; 107 2008; 361 2016; 14 2014; 511 2012; 93 1985; 39 2015; 25 1966; 100 1990; 68 2014; 183 2017; 19 2014 1999; 398 2009; 4 2012; 7 1996; 46 2012; 5 2003; 100 2016; 9 Diamond J. M. (e_1_2_8_24_1) 1975 e_1_2_8_28_1 e_1_2_8_47_1 Stachowicz J. (e_1_2_8_53_1) 2012; 5 e_1_2_8_49_1 e_1_2_8_3_1 Dunne J. A. (e_1_2_8_26_1) 2008; 5 e_1_2_8_5_1 e_1_2_8_7_1 e_1_2_8_9_1 e_1_2_8_20_1 e_1_2_8_43_1 e_1_2_8_22_1 e_1_2_8_45_1 Castilla J. C. (e_1_2_8_19_1) 1985; 39 e_1_2_8_41_1 e_1_2_8_60_1 e_1_2_8_17_1 e_1_2_8_13_1 Gotelli N. J. (e_1_2_8_31_1) 1996 e_1_2_8_36_1 e_1_2_8_59_1 e_1_2_8_15_1 e_1_2_8_38_1 e_1_2_8_57_1 e_1_2_8_32_1 e_1_2_8_55_1 e_1_2_8_11_1 e_1_2_8_34_1 e_1_2_8_51_1 e_1_2_8_30_1 e_1_2_8_29_1 e_1_2_8_25_1 e_1_2_8_46_1 e_1_2_8_27_1 e_1_2_8_48_1 e_1_2_8_2_1 e_1_2_8_4_1 e_1_2_8_6_1 e_1_2_8_8_1 e_1_2_8_21_1 e_1_2_8_42_1 e_1_2_8_23_1 e_1_2_8_44_1 e_1_2_8_40_1 e_1_2_8_18_1 e_1_2_8_39_1 e_1_2_8_14_1 e_1_2_8_35_1 e_1_2_8_16_1 e_1_2_8_37_1 e_1_2_8_58_1 e_1_2_8_10_1 e_1_2_8_56_1 e_1_2_8_12_1 e_1_2_8_33_1 e_1_2_8_54_1 e_1_2_8_52_1 e_1_2_8_50_1
References_xml	– volume: 10 start-page: 153 year: 2007 end-page: 164 article-title: Ecosystem engineering in space and time publication-title: Ecology Letters – volume: 95 start-page: 2289 year: 2014 end-page: 2302 article-title: Coexistence of competitors in marine metacommunities: environmental variability, edge effects, and the dispersal niche publication-title: Ecology – volume: 34 start-page: 897 year: 2011 end-page: 908 article-title: Using species co‐occurrence networks to assess the impacts of climate change publication-title: Ecography – volume: 42 start-page: 710 year: 1961 end-page: 723 article-title: The influence of interspecific competition and other factors on the distribution of the barnacle publication-title: Ecology – volume: 73 start-page: 585 year: 2004 end-page: 598 article-title: Interaction strengths in food webs: issues and opportunities publication-title: Journal of Animal Ecology – volume: 1 start-page: 55 year: 2008 end-page: 64 article-title: Network structure, predator‐prey modules, and stability in large food webs publication-title: Theoretical Ecology – volume: 100 start-page: 65 year: 1966 end-page: 75 article-title: Food web complexity and species diversity publication-title: American Naturalist – volume: 5 start-page: e102 year: 2008 article-title: Compilation and network analyses of Cambrian food webs publication-title: PLoS Biology – volume: 25 start-page: 56 year: 2015 end-page: 66 article-title: Metagenomics meets time series analysis: unraveling microbial community dynamics publication-title: Current Opinion in Microbiology – volume: 126 start-page: 1699 year: 2017 end-page: 1707 article-title: High temporal variability in the occurrence of consumer‐resource interactions in ecology networks publication-title: Oikos – volume: 93 start-page: 110 year: 2001 end-page: 120 article-title: Environmentally constrained null models: site suitability as occupancy criterion publication-title: Oikos – volume: 5 start-page: 42 year: 2012 end-page: 43 article-title: Niche expansion by positive interactions: realizing the fundamentals. A comment on Rodriguez‐Cabal et al publication-title: Ideas in Ecology and Evolution – volume: 107 start-page: 603 year: 2004 end-page: 609 article-title: Species co‐occurrences and neutral models: reassessing JM Diamond's assembly rules publication-title: Oikos – volume: 328 start-page: 1388 year: 2010 end-page: 1391 article-title: Stochastic community assembly causes higher biodiversity in more productive environments publication-title: Science – volume: 248 start-page: 57 year: 2013 end-page: 70 article-title: Comparing the relative contributions of biotic and abiotic factors as mediators of species’ distributions publication-title: Ecological Modelling – year: 2014 – volume: 281 start-page: 20141425 year: 2014 article-title: Inferring species roles in metacommunity structure from species co‐occurrence networks publication-title: Proceedings of the Royal Society B – volume: 13 start-page: 133 year: 2015 end-page: 146 article-title: Marine microbial community dynamics and their ecological interpretation publication-title: Nature Reviews Microbiology – volume: 361 start-page: 35 year: 2008 end-page: 45 article-title: Potential for omnivory and apparent intraguild predation in rocky intertidal herbivore assemblages from northern Chile publication-title: Marine Ecology Progress Series – volume: 7 start-page: 201 year: 1986 end-page: 217 article-title: The effect of human exclusion on the population structure of key‐hole limpets and on the coast of central Chile publication-title: Marine Ecology – volume: 398 start-page: 330 year: 1999 end-page: 334 article-title: Strong effects of weak interactions in ecological communities publication-title: Nature – start-page: 342 year: 1975 end-page: 444 – volume: 46 start-page: 609 year: 1996 end-page: 620 article-title: Challenges in the quest for keystones publication-title: BioScience – volume: 214 start-page: 195 year: 1997 end-page: 229 article-title: Spatial and temporal variation in rocky intertidal community organization: lessons from repeating field experiments publication-title: Journal of Experimental Marine Biology and Ecology – volume: 19 start-page: 547 year: 2017 article-title: Bayesian inference of ecological interactions from spatial data publication-title: Entropy – volume: 48 start-page: 431 year: 2013 end-page: 450 article-title: A trophic characterization of intertidal consumers on Chilean rocky shores publication-title: Revista de Biología Marina Y Oceanografía – volume: 5 start-page: 558 year: 2002 end-page: 567 article-title: Network structure and biodiversity loss in food webs: robustness increases with connectance publication-title: Ecology Letters – volume: 30 start-page: 347 year: 2015 end-page: 356 article-title: Inferring biotic interactions from proxies publication-title: Trends in Ecology & Evolution – volume: 7 start-page: 7154 year: 2017 article-title: Ecological network inference from long‐term presence‐absence data publication-title: Scientific Reports – volume: 48 start-page: 447 year: 2017 end-page: 471 article-title: Apparent competition publication-title: Annual Review of Ecology, Evolution, and Systematics – volume: 14 start-page: e1002527 year: 2016 article-title: How structured is the entangled bank? The surprisingly simple organization of multiplex ecological networks leads to increased persistence and resilience publication-title: PLoS Biology – volume: 96 start-page: 291 year: 2015 end-page: 303 article-title: Network structure beyond food webs: mapping non‐trophic and trophic interactions on Chilean rocky shores publication-title: Ecology – volume: 540 start-page: 567 year: 2016 end-page: 569 article-title: Water balance creates a threshold in soil pH at the global scale publication-title: Nature – volume: 4 start-page: e5725 year: 2009 article-title: Using biotic interaction networks for prediction in biodiversity and emerging diseases publication-title: PLoS ONE – volume: 300 start-page: 189 year: 2004 end-page: 215 article-title: Can we predict the effects of alien species? A case‐history of the invasion of South Africa by (Lamarck) publication-title: Journal of Experimental Marine Biology and Ecology – volume: 93 start-page: 2263 year: 2012 end-page: 2273 article-title: Functional species pool framework to test for biotic effects on community assembly publication-title: Ecology – volume: 13 start-page: 360 year: 2010 end-page: 371 article-title: Turbulent dispersal promotes species coexistence publication-title: Ecology Letters – year: 1996 – volume: 84 start-page: 143 year: 2011 end-page: 154 article-title: Geographic variation in diversity of wave exposed rocky intertidal communities along central Chile publication-title: Revista Chilena de Historia Natural – volume: 39 start-page: 1 year: 1985 end-page: 399 article-title: Human exclusion from the rocky intertidal zone of central Chile: the effects on (Gastropoda) publication-title: Oikos – volume: 41 start-page: 1029 year: 2014 end-page: 1035 article-title: The pairwise approach to analysing species co‐occurrence publication-title: Journal of Biogeography – volume: 64 start-page: 249 year: 1994 end-page: 286 article-title: The Keystone species concept: variation in interaction strength in a rocky intertidal habitat publication-title: Ecological Monographs – volume: 54 start-page: 1060 year: 2009 end-page: 1072 article-title: Benthic community structure and spatiotemporal thermal regimes in two upwelling ecosystems: comparisons between South Africa and Chile publication-title: Limnology and Oceanography – volume: 10 start-page: 538 year: 2012 end-page: 550 article-title: Microbial interactions: from networks to models publication-title: Nature Reviews Microbiology – volume: 214 start-page: 405 year: 2002 end-page: 412 article-title: Small world patterns in food webs publication-title: Journal of Theoretical Biology – volume: 9 start-page: 39 year: 2016 end-page: 48 article-title: A theory for species co‐occurrence in interaction networks publication-title: Theoretical Ecology – volume: 122 start-page: 2 year: 2013 end-page: 18 article-title: Pattern detection in null model analysis publication-title: Oikos – volume: 262 start-page: 323 year: 2010 end-page: 329 article-title: Inferring plant ecosystem organization from species occurrences publication-title: Journal of Theoretical Biology – volume: 68 start-page: 113 year: 1990 end-page: 119 article-title: Barnacle walls as mediators of intertidal mussel recruitment: effects of patch size on the utilization of space publication-title: Marine Ecology Progress Series. Oldendorf – volume: 74 start-page: 663 year: 2004 end-page: 684 article-title: Species interaction strength: testing model predictions along an upwelling gradient publication-title: Ecological Monographs – volume: 132 start-page: 96 year: 2002 end-page: 101 article-title: An ecosystem engineer, the beaver, increases species richness at the landscape scale publication-title: Oecologia – volume: 14 start-page: 280 year: 1999 end-page: 283 article-title: Coastal marine communities: trends and perspectives from human‐exclusion experiments publication-title: Trends in Ecology and Evolution – volume: 102 start-page: 18046 year: 2005 end-page: 18051 article-title: Scales of benthic–pelagic coupling and the intensity of species interactions: from recruitment limitation to top‐down control publication-title: Proceedings of the National Academy of Sciences USA – volume: 100 start-page: 251 year: 2003 end-page: 262 article-title: Experimental determination of predation intensity in an intertidal predator guild: dominant versus subordinate prey publication-title: Oikos – volume: 511 start-page: 71 year: 2014 end-page: 82 article-title: Effect of grazing on distribution and recovery of harvested stands of kelp in northern Chile publication-title: Marine Ecology Progress Series – volume: 224 start-page: 21 year: 2001 end-page: 34 article-title: Geographic variation of southeastern Pacific intertidal communities publication-title: Marine Ecology Progress Series – volume: 7 start-page: e46205 year: 2012 article-title: Interspecific competition for shelters in territorial and gregarious intertidal grazers: consequences for individual behaviour publication-title: PLoS ONE – volume: 69 start-page: 373 year: 1994 end-page: 386 article-title: Organisms as ecosystem engineers publication-title: Oikos – volume: 183 start-page: 342 year: 2014 end-page: 362 article-title: Lottery coexistence on rocky shores: Weak niche differentiation or equal competitors engaged in neutral dynamics? publication-title: American Naturalist – ident: e_1_2_8_27_1 doi: 10.1016/j.mib.2015.04.004 – ident: e_1_2_8_38_1 doi: 10.2307/2937163 – ident: e_1_2_8_39_1 doi: 10.1890/03-4060 – ident: e_1_2_8_35_1 doi: 10.1890/13-1424.1 – ident: e_1_2_8_50_1 doi: 10.1038/s41598-017-07009-x – ident: e_1_2_8_42_1 doi: 10.3354/meps068113 – ident: e_1_2_8_44_1 doi: 10.1073/pnas.0509119102 – ident: e_1_2_8_45_1 doi: 10.1111/j.1439-0485.1986.tb00158.x – ident: e_1_2_8_52_1 doi: 10.1038/nature20139 – ident: e_1_2_8_55_1 doi: 10.3390/e19120547 – ident: e_1_2_8_23_1 doi: 10.1890/11-1394.1 – ident: e_1_2_8_4_1 doi: 10.1007/s12080-007-0007-8 – ident: e_1_2_8_20_1 doi: 10.1007/s12080-015-0281-9 – ident: e_1_2_8_3_1 doi: 10.1890/13-0472.1 – volume: 5 start-page: e102 year: 2008 ident: e_1_2_8_26_1 article-title: Compilation and network analyses of Cambrian food webs publication-title: PLoS Biology doi: 10.1371/journal.pbio.0060102 – ident: e_1_2_8_36_1 doi: 10.1371/journal.pbio.1002527 – ident: e_1_2_8_47_1 doi: 10.1086/282400 – ident: e_1_2_8_17_1 doi: 10.4067/S0718-19572013000300003 – ident: e_1_2_8_34_1 doi: 10.1890/03-0245 – ident: e_1_2_8_54_1 doi: 10.1371/journal.pone.0005725 – ident: e_1_2_8_58_1 doi: 10.1111/jbi.12318 – ident: e_1_2_8_56_1 doi: 10.1111/j.0030-1299.2004.12981.x – ident: e_1_2_8_14_1 doi: 10.3354/meps224021 – ident: e_1_2_8_37_1 doi: 10.1111/oik.04285 – ident: e_1_2_8_28_1 doi: 10.1038/nrmicro2832 – ident: e_1_2_8_7_1 doi: 10.1515/9781400848720 – ident: e_1_2_8_15_1 doi: 10.4067/S0716-078X2011000100011 – ident: e_1_2_8_9_1 doi: 10.1038/18672 – ident: e_1_2_8_21_1 doi: 10.1126/science.1187820 – ident: e_1_2_8_33_1 doi: 10.1146/annurev-ecolsys-110316-022628 – ident: e_1_2_8_18_1 doi: 10.1016/S0169-5347(99)01602-X – start-page: 342 volume-title: Ecology and evolution of communities year: 1975 ident: e_1_2_8_24_1 – ident: e_1_2_8_48_1 doi: 10.1034/j.1600-0706.2001.930112.x – ident: e_1_2_8_11_1 doi: 10.1111/j.0021-8790.2004.00833.x – ident: e_1_2_8_49_1 doi: 10.2307/1312990 – ident: e_1_2_8_41_1 doi: 10.1016/j.tree.2015.03.014 – ident: e_1_2_8_13_1 doi: 10.1034/j.1600-0706.2002.970201.x – ident: e_1_2_8_6_1 doi: 10.1016/j.jtbi.2009.09.026 – volume: 5 start-page: 42 year: 2012 ident: e_1_2_8_53_1 article-title: Niche expansion by positive interactions: realizing the fundamentals. A comment on Rodriguez‐Cabal et al publication-title: Ideas in Ecology and Evolution – ident: e_1_2_8_29_1 doi: 10.1038/nrmicro3417 – ident: e_1_2_8_51_1 doi: 10.1086/674898 – volume-title: Null models in ecology year: 1996 ident: e_1_2_8_31_1 – ident: e_1_2_8_46_1 doi: 10.3354/meps10931 – ident: e_1_2_8_25_1 doi: 10.1046/j.1461-0248.2002.00354.x – ident: e_1_2_8_32_1 doi: 10.1111/j.1461-0248.2006.00997.x – ident: e_1_2_8_30_1 doi: 10.1016/j.ecolmodel.2012.10.007 – ident: e_1_2_8_40_1 doi: 10.1006/jtbi.2001.2460 – volume: 39 start-page: 1 year: 1985 ident: e_1_2_8_19_1 article-title: Human exclusion from the rocky intertidal zone of central Chile: the effects on Concholepas concholepas (Gastropoda) publication-title: Oikos – ident: e_1_2_8_59_1 doi: 10.4319/lo.2009.54.4.1060 – ident: e_1_2_8_60_1 doi: 10.1007/s00442-002-0929-1 – ident: e_1_2_8_12_1 doi: 10.1098/rspb.2014.1425 – ident: e_1_2_8_5_1 doi: 10.1111/j.1600-0587.2011.06919.x – ident: e_1_2_8_43_1 doi: 10.1034/j.1600-0706.2003.11996.x – ident: e_1_2_8_2_1 doi: 10.1371/journal.pone.0046205 – ident: e_1_2_8_22_1 doi: 10.2307/1933500 – ident: e_1_2_8_8_1 doi: 10.1111/j.1461-0248.2009.01427.x – ident: e_1_2_8_57_1 doi: 10.1111/j.1600-0706.2012.20325.x – ident: e_1_2_8_10_1 doi: 10.1016/S0022-0981(97)00023-3 – ident: e_1_2_8_16_1 doi: 10.3354/meps07421
SSID	ssj0000148
Score	2.6549504
Snippet	Co-occurrence methods are increasingly utilized in ecology to infer networks of species interactions where detailed knowledge based on empirical studies is... Co‐occurrence methods are increasingly utilized in ecology to infer networks of species interactions where detailed knowledge based on empirical studies is...
SourceID	proquest pubmed crossref wiley jstor
SourceType	Aggregation Database Index Database Enrichment Source Publisher
StartPage	690
SubjectTerms	anthropogenic impacts biocenosis Biota Chile Commensalism Communities co‐occurrence Ecological effects ecological networks Ecology Empirical analysis Environmental conditions Environmental effects environmental factors Food Chain food webs intertidal Intertidal zone Keystone species littoral zone metagenomics Microorganisms Mixtures Networks non‐trophic interactions probability Sensitivity species interactions Stability analysis Symbiosis Trophic relationships
Subtitle	Can they reveal trophic and non-trophic interactions in ecological communities?
Title	Species co-occurrence networks
URI	https://www.jstor.org/stable/26624185 https://onlinelibrary.wiley.com/doi/abs/10.1002%2Fecy.2142 https://www.ncbi.nlm.nih.gov/pubmed/29336480 https://www.proquest.com/docview/2009237893 https://www.proquest.com/docview/1989573265 https://www.proquest.com/docview/2053894234
Volume	99
WOSCitedRecordID	wos000426499800018&url=https%3A%2F%2Fcvtisr.summon.serialssolutions.com%2F%23%21%2Fsearch%3Fho%3Df%26include.ft.matches%3Dt%26l%3Dnull%26q%3D
hasFullText	1
inHoldings	1
isFullTextHit
isPrint
journalDatabaseRights	– providerCode: PRVWIB databaseName: Wiley Online Library - Journals customDbUrl: eissn: 1939-9170 dateEnd: 99991231 omitProxy: false ssIdentifier: ssj0000148 issn: 0012-9658 databaseCode: DRFUL dateStart: 19970101 isFulltext: true titleUrlDefault: https://onlinelibrary.wiley.com providerName: Wiley-Blackwell
link	http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwpV3NbtQwEB7RLUhc-F8IlMpICE6hXttJHC4ILbviUFUIUbScIv-qlVBSbbaV9tZH4Bl5EsZxskulVkLiFCcZW5YzM_4cz3wGeJ0XVmmaefR-zqe4_irTkgqd4kxuNfWWmo6s-vthcXQkF4vySx9VGXJhIj_E5odbsIzOXwcDV7o92JKGOrN-F_jCdmCXodpmI9j99HV-fPgXeZTo_TBLA8XJQD1L2cFQ98pkFOMRr0OaV4FrN_PM7_9Pnx_AvR5vko9RQR7CLVc_gjvxBMo1lmamL41n25Q3rNDbfPsY2u6IetcS0_y-_NUY0zE6GUfqGEHevidTVRMEkmsS-KCw8mrZnJ2cGqJqS-qmxmrDk8BOsYy5FC3eEGcG54vNd6kqgeD1wxM4ns--TT-n_VENqREhwWfibOYtV7agllrpSqUZ9YX0Mi80kzq3jmb4iqM7yF3YS9XU4dKOGiO4mhg-hhH2xz0DonLPBS5EvXBUFEIpTj2beMa5lrnUkwTeDt-sMj2PeThO42cVGZhZhaNchVFO4NVG8ixyd1wjM-4--0YAAQsLhD4J7A16UPVm3VYdRRUvEONh25vXaJBhl0XVrjlvqxCElhWIirObZRi6PlkikhUJPI06tu1AyXkuJE3gTadKN3a9mk1_hOvzfxV8AXcR7skYQbcHo9Xy3L2E2-Ziddou92GnWMj93oj-ACf8IGA
linkProvider	Wiley-Blackwell
linkToHtml	http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwpV1Lb9QwEB6VFlQuPLuQUsBICE6hXttJHDggtOyqiGWFUIvKKXL8EJVQUm22SHvjJ_Ab-0sYx8kulVoJiVOcZGxZ9sz482M-AzxPM6NKmjj0ftbFOP_K45yKMsaR3JTUGapbsuqv02w2k8fH-ecNeNPHwgR-iNWCm7eM1l97A_cL0vtr1lCrl688Ydg12BKoRajeW--_TI6mf7FHic4Rs9hznPTcs5Tt93kvjEbhQOJlUPMicm2Hnsnt_6r0HbjVIU7yLqjIXdiw1T24Ee6gXGJqrLvUYLwOesMMndU396FpL6m3DdH1-a_ftdYtp5O2pApnyJvXZKQqglBySTwjFGZezOvT7yeaqMqQqq4wW__F81PMQzRFgy_E6t79YvFtsIqneH27A0eT8eHoIO4ua4i18CE-Q2sSZ7gyGTXUSJurklGXSSfTrGSyTI2lCf7i6BBS63dTS2pxcke1FlwNNR_AJtbHPgSiUscFTkWdsFRkQilOHRs6xnkpU1kOI3jZd1qhOyZzf6HGjyJwMLMCW7nwrRzBs5XkaWDvuERm0Pb7SgAhC_OUPhHs9YpQdIbdFC1JFc8Q5WHZq99okn6fRVW2PmsKfwwtyRAXJ1fLMHR-MkcsKyJ4EJRsXYGc81RIGsGLVpeurHoxHn3zz91_FXwK2weHn6bF9MPs4yO4ieBPhvN0e7C5mJ_Zx3Bd_1ycNPMnnS39AY0LI2g
linkToPdf	http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwpV3ditQwFD6ssyre-D9aXTWC6FXdTJK2qV6IzM6gOAyLuLJ7VdL84IK0w3RWmDsfwWf0STxp2hkXdkHwqmlzEkKSc_KlyfkOwIs0M6qkiUPrZ12M-688zqkoY1zJTUmdobolq_46y-ZzeXycH-7A294XJvBDbH64ec1o7bVXcLswbn_LGmr1-rUnDLsCu8LHkBnA7sHn6dHsL_Yo0RliFnuOk557lrL9vuy51ShcSLwIap5Hru3SM731X42-DTc7xEnehylyB3ZsdReuhRiUa0xNdJcaTrZOb1ig0_rmHjRtkHrbEF3__vmr1rrldNKWVOEOefOGjFVFEEquiWeEwsKrZb34dqqJqgyp6gqL9V88P8UyeFM0-EKs7s0vVt86q3iK13f34Wg6-TL-EHfBGmItvIvPyJrEGa5MRg010uaqZNRl0sk0K5ksU2NpglkcDUJq_WlqSS1u7qjWgquR5kMYYHvsQyAqdVzgVtQJS0UmlOLUsZFjnJcyleUoglf9oBW6YzL3ATW-F4GDmRXYy4Xv5QiebyQXgb3jAplhO-4bAYQszFP6RLDXT4SiU-ymaEmqeIYoD-veZKNK-nMWVdn6rCn8NbQkQ1ycXC7D0PjJHLGsiOBBmGTbBuScp0LSCF62c-nSpheT8Yl_PvpXwWdw_fBgWsw-zj89hhuI_WS4TrcHg9XyzD6Bq_rH6rRZPu1U6Q_llyLj
openUrl	ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.atitle=Species+co%E2%80%90occurrence+networks%3A+Can+they+reveal+trophic+and+non%E2%80%90trophic+interactions+in+ecological+communities%3F&rft.jtitle=Ecology+%28Durham%29&rft.au=Freilich%2C+Mara+A.&rft.au=Wieters%2C+Evie&rft.au=Broitman%2C+Bernardo+R.&rft.au=Marquet%2C+Pablo+A.&rft.date=2018-03-01&rft.issn=0012-9658&rft.eissn=1939-9170&rft.volume=99&rft.issue=3&rft.spage=690&rft.epage=699&rft_id=info:doi/10.1002%2Fecy.2142&rft.externalDBID=n%2Fa&rft.externalDocID=10_1002_ecy_2142
thumbnail_l	http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=0012-9658&client=summon
thumbnail_m	http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=0012-9658&client=summon
thumbnail_s	http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=0012-9658&client=summon