Uncovering symmetric and asymmetric species associations from community and environmental data | Paper Citation Record

Observation 84034b36-707f-448d-8890-83db738a8411 · outbound

This paper cites Fundamental contradictions among observational and experimental estimates of non-trophic species interactions.

Uncovering symmetric and asymmetric species associations from community and environmental data Fundamental contradictions among observational and experimental estimates of non-trophic species interactions

Reference 1

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Observation 4e09a07a-7f70-42d0-846c-00ff51a7828e · outbound

This paper cites Database for functional traits of soil invertebrates.

Uncovering symmetric and asymmetric species associations from community and environmental data Database for functional traits of soil invertebrates

Reference 2

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Observation 57f31333-89c4-479c-ac04-06e17de6a657 · outbound

This paper cites Co-occurrence is not evidence of ecological interactions.

Uncovering symmetric and asymmetric species associations from community and environmental data Co-occurrence is not evidence of ecological interactions

Reference 3

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This paper cites Large-scale machine learning with stochastic gradient descent.

Uncovering symmetric and asymmetric species associations from community and environmental data Large-scale machine learning with stochastic gradient descent

Reference 4

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Observation 2a68f1a8-1cce-4723-8d54-6b621018b2e2 · outbound

This paper cites Boulangeat, D.

Uncovering symmetric and asymmetric species associations from community and environmental data Boulangeat, D

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:06:40.746156Z

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Observation 9bf4d465-3995-4460-b391-f89b76ee3cf5 · outbound

This paper cites Accounting for dispersal and biotic interactions to disentangle the drivers of species distributions and their abundances.

Uncovering symmetric and asymmetric species associations from community and environmental data Accounting for dispersal and biotic interactions to disentangle the drivers of species distributions and their abundances

Reference 6

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Observation 8e1c5dfd-56bb-4a1c-808b-89490022a117 · outbound

This paper cites Positive interactions and interdependence in plant communities.

Uncovering symmetric and asymmetric species associations from community and environmental data Positive interactions and interdependence in plant communities

Reference 7

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Observation f18aaa87-34bc-4865-8558-66cd4856138e · outbound

This paper cites A theory for species co-occurrence in interaction networks.

Uncovering symmetric and asymmetric species associations from community and environmental data A theory for species co-occurrence in interaction networks

Reference 8

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Observation 5f70533e-ab4f-46e9-86f4-91c6207a18e6 · outbound

This paper cites On the integration of biotic interaction and environmental constraints at the biogeographical scale.

Uncovering symmetric and asymmetric species associations from community and environmental data On the integration of biotic interaction and environmental constraints at the biogeographical scale

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:06:39.950757Z

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Observation f7406deb-f376-4101-822a-0e295112c2b8 · outbound

This paper cites Ecological niches: linking classical and contemporary approaches.

Uncovering symmetric and asymmetric species associations from community and environmental data Ecological niches: linking classical and contemporary approaches

Reference 10

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Observation b1279e5f-4914-4a8c-a33d-31479930384d · outbound

This paper cites Variational inference for sparse network reconstruction from count data.

Uncovering symmetric and asymmetric species associations from community and environmental data Variational inference for sparse network reconstruction from count data

Reference 11

Resolution: verified exact; local_arxiv, observed 2026-08-06T18:06:26.985724Z

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Observation f3876517-6f6b-47bb-984f-6152a2a94f51 · outbound

This paper cites Consistent shifts in alpine plant traits along a mesotopographical gradient.

Uncovering symmetric and asymmetric species associations from community and environmental data Consistent shifts in alpine plant traits along a mesotopographical gradient

Reference 12

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Observation 06261ccb-bf86-4e25-ace1-fbb4f6ab99fd · outbound

This paper cites Facilitation and competition on gradients in alpine plant communities.

Uncovering symmetric and asymmetric species associations from community and environmental data Facilitation and competition on gradients in alpine plant communities

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:06:39.329346Z

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Observation cfc1f1af-e92d-4320-90f8-418a736fea28 · outbound

This paper cites Generalized joint attribute modeling for biodiversity analysis: Median-zero, multivariate, multifarious data.

Uncovering symmetric and asymmetric species associations from community and environmental data Generalized joint attribute modeling for biodiversity analysis: Median-zero, multivariate, multifarious data

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:06:39.146403Z

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Observation d961cd9c-67ab-42e8-8ab0-814946a30ec8 · outbound

This paper cites Unravelling changing interspecific interactions across environmental gradients using markov random fields.

Uncovering symmetric and asymmetric species associations from community and environmental data Unravelling changing interspecific interactions across environmental gradients using markov random fields

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:06:38.974296Z

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Observation 69411d3e-3ba8-4fa3-8a62-6e63e7a68b7f · outbound

This paper cites Ecosystem engineers: plants to protists, volume 4.

Uncovering symmetric and asymmetric species associations from community and environmental data Ecosystem engineers: plants to protists, volume 4

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:06:38.829814Z

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Observation acad0dd2-3a50-4e33-b6a2-774b2f09aa11 · outbound

This paper cites Biomonitoring for the 21st century: integrating next-generation sequencing into ecological network analysis.

Uncovering symmetric and asymmetric species associations from community and environmental data Biomonitoring for the 21st century: integrating next-generation sequencing into ecological network analysis

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:06:38.704360Z

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Observation 637d7d9a-394f-4f5e-9631-f86364c868ab · outbound

This paper cites Collinearity: a review of methods to deal with it and a simulation study evaluating their performance.

Uncovering symmetric and asymmetric species associations from community and environmental data Collinearity: a review of methods to deal with it and a simulation study evaluating their performance

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:06:38.525244Z

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Observation bad63b47-d51f-42ce-808d-dfe718f0bacf · outbound

This paper cites Biotic interactions in species distribution modelling: 10 questions to guide interpretation and avoid false conclusions.

Uncovering symmetric and asymmetric species associations from community and environmental data Biotic interactions in species distribution modelling: 10 questions to guide interpretation and avoid false conclusions

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:06:38.408441Z

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Observation 4039e56a-8b50-4502-94bb-88620229f6b0 · outbound

This paper cites The nature and origin of soil-polygons in spitsbergen.

Uncovering symmetric and asymmetric species associations from community and environmental data The nature and origin of soil-polygons in spitsbergen

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:06:38.245657Z

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Observation e5ee802a-873d-4853-9fd9-ad2828dad359 · outbound

This paper cites Link prediction under imperfect detection: Collaborative filtering for ecological networks.

Uncovering symmetric and asymmetric species associations from community and environmental data Link prediction under imperfect detection: Collaborative filtering for ecological networks

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:06:38.076508Z

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Observation b012b42b-e7ec-4dab-8f0e-4277fecdea20 · outbound

This paper cites Trophic groups and modules: two levels of group detection in food webs.

Uncovering symmetric and asymmetric species associations from community and environmental data Trophic groups and modules: two levels of group detection in food webs

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:06:37.930552Z

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Observation 5f0ddb4e-bca8-449c-a2a3-a07f02d80f5c · outbound

This paper cites Ecology: Biodiversity in the scales.

Uncovering symmetric and asymmetric species associations from community and environmental data Ecology: Biodiversity in the scales

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:06:37.747853Z

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Observation 090fbb8c-2f88-4895-bd75-7a14dde8cb8d · outbound

This paper cites Co-clustering: models, algorithms and applications.

Uncovering symmetric and asymmetric species associations from community and environmental data Co-clustering: models, algorithms and applications

Reference 24

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This paper cites Gravel, C.

Uncovering symmetric and asymmetric species associations from community and environmental data Gravel, C

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:06:37.514966Z

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Observation 9c47c5f6-9251-4cec-bb87-959505adec8b · outbound

This paper cites Trophic theory of island biogeography.

Uncovering symmetric and asymmetric species associations from community and environmental data Trophic theory of island biogeography

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:06:37.312411Z

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Observation 288653cd-fce7-42cb-8675-577880e05dc2 · outbound

This paper cites Bringing elton and grinnell together: a quantitative framework to represent the biogeography of ecological interaction networks.

Uncovering symmetric and asymmetric species associations from community and environmental data Bringing elton and grinnell together: a quantitative framework to represent the biogeography of ecological interaction networks

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:06:37.025766Z

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Observation ee30cdb0-b2a3-4bd9-9591-5946c9a1f6d9 · outbound

This paper cites The niche-relationships of the california thrasher.

Uncovering symmetric and asymmetric species associations from community and environmental data The niche-relationships of the california thrasher

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:06:36.752292Z

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This paper cites Predicting species distributions for conservation decisions.

Uncovering symmetric and asymmetric species associations from community and environmental data Predicting species distributions for conservation decisions

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:06:36.500408Z

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Observation 920f471f-2e7d-42b0-b6f9-7946303eecb2 · outbound

This paper cites Habitat suitability and distribution models: with applications in R.

Uncovering symmetric and asymmetric species associations from community and environmental data Habitat suitability and distribution models: with applications in R

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:06:36.270375Z

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This paper cites The competitive exclusion principle.

Uncovering symmetric and asymmetric species associations from community and environmental data The competitive exclusion principle

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:06:36.042147Z

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Observation 58ca42d9-e2fb-47db-83be-41f033234105 · outbound

This paper cites Inferring species interactions from co-occurrence data with markov networks.

Uncovering symmetric and asymmetric species associations from community and environmental data Inferring species interactions from co-occurrence data with markov networks

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:06:35.800681Z

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Observation c63b1de3-0c5f-49c3-9b68-a9e767f480b6 · outbound

This paper cites Dependency networks for inference, collaborative filtering, and data visualization.

Uncovering symmetric and asymmetric species associations from community and environmental data Dependency networks for inference, collaborative filtering, and data visualization

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:06:35.511398Z

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Observation ef617b31-6aa8-45a1-b110-aad5dc17d09b · outbound

This paper cites Plant colonization of actively sorted stone stripes in the subantarctic.

Uncovering symmetric and asymmetric species associations from community and environmental data Plant colonization of actively sorted stone stripes in the subantarctic

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:06:35.241845Z

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Observation 31c7f1a8-bc51-4941-b6fa-f9a1f06b67f7 · outbound

This paper cites Non-negative matrix factorization with sparseness constraints.

Uncovering symmetric and asymmetric species associations from community and environmental data Non-negative matrix factorization with sparseness constraints

Reference 35

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Observation cd4a27fb-96ee-4dea-8aa9-a130f4f7a5ef · outbound

This paper cites Essai sur la g \'e ographie des plantes.

Uncovering symmetric and asymmetric species associations from community and environmental data Essai sur la g \'e ographie des plantes

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:06:34.501255Z

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Observation 56b88a9a-dce5-40ec-92a5-fa40f1199fbd · outbound

This paper cites The multivariate niche.

Uncovering symmetric and asymmetric species associations from community and environmental data The multivariate niche

Reference 37

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This paper cites Try plant trait database--enhanced coverage and open access.

Uncovering symmetric and asymmetric species associations from community and environmental data Try plant trait database--enhanced coverage and open access

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:06:34.018658Z

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This paper cites u rgen Groeneveld, Thomas Hickler, Ingolf K \.

Uncovering symmetric and asymmetric species associations from community and environmental data u rgen Groeneveld, Thomas Hickler, Ingolf K \

Reference 39

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Observation deca01a5-f964-4b9f-98da-462e6070fc6e · outbound

This paper cites König, R.W.

Uncovering symmetric and asymmetric species associations from community and environmental data König, R.W

Reference 40

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This paper cites Information criteria and statistical modeling.

Uncovering symmetric and asymmetric species associations from community and environmental data Information criteria and statistical modeling

Reference 41

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This paper cites Lavorel and E.

Uncovering symmetric and asymmetric species associations from community and environmental data Lavorel and E

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:06:32.875197Z

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Observation 9585fb89-0e2f-44fd-bdcd-4f22f529183b · outbound

This paper cites Bardgett, Francesco de Bello, Matty P.

Uncovering symmetric and asymmetric species associations from community and environmental data Bardgett, Francesco de Bello, Matty P

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:06:32.713483Z

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This paper cites Mplasso: Inferring microbial association networks using prior microbial knowledge.

Uncovering symmetric and asymmetric species associations from community and environmental data Mplasso: Inferring microbial association networks using prior microbial knowledge

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:06:32.508272Z

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Observation 02749cea-1ee4-42ec-a07f-ef9aa44656db · outbound

This paper cites The theory of island biogeography, volume 1.

Uncovering symmetric and asymmetric species associations from community and environmental data The theory of island biogeography, volume 1

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:06:32.377370Z

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No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation c947c923-1ed8-487e-99e9-d5599999a2e5 · outbound

This paper cites Tree-based Inference of Species Interaction Network from Abundance Data.

Uncovering symmetric and asymmetric species associations from community and environmental data Tree-based Inference of Species Interaction Network from Abundance Data

Reference 46

Resolution: verified exact; local_arxiv, observed 2026-08-06T18:06:26.847748Z

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No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation dbee4467-0ee5-457e-8e4a-23236ae37703 · outbound

This paper cites Inferring biotic interactions from proxies.

Uncovering symmetric and asymmetric species associations from community and environmental data Inferring biotic interactions from proxies

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:06:32.275376Z

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No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation fa699657-6f4a-4eb4-87ee-769c2a5e4520 · outbound

This paper cites u nkem \.

Uncovering symmetric and asymmetric species associations from community and environmental data u nkem \

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:06:32.128252Z

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No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation f7052404-0fde-4c16-8db8-82439f97d3e0 · outbound

This paper cites Modularity and community structure in networks.

Uncovering symmetric and asymmetric species associations from community and environmental data Modularity and community structure in networks

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:06:31.963654Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation fc4feb58-a8fd-4cde-bc02-0f3b4abc45c9 · outbound

This paper cites Funguild: an open annotation tool for parsing fungal community datasets by ecological guild.

Uncovering symmetric and asymmetric species associations from community and environmental data Funguild: an open annotation tool for parsing fungal community datasets by ecological guild

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:06:31.823668Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 8c242d4b-f751-4405-929a-88bb73629ed7 · outbound

This paper cites gllvm: Fast analysis of multivariate abundance data with generalized linear latent variable models in r.

Uncovering symmetric and asymmetric species associations from community and environmental data gllvm: Fast analysis of multivariate abundance data with generalized linear latent variable models in r

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:06:31.670416Z

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Observation dc4bce3c-d6c5-4d0d-b214-bb93a1d3a40f · outbound

This paper cites Mapping the imprint of biotic interactions on -diversity.

Uncovering symmetric and asymmetric species associations from community and environmental data Mapping the imprint of biotic interactions on -diversity

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:06:31.507609Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 0edf0d5f-23f5-4960-a157-f33b077cc0a1 · outbound

This paper cites Joint Species Distribution Modelling: With Applications in R.

Uncovering symmetric and asymmetric species associations from community and environmental data Joint Species Distribution Modelling: With Applications in R

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:06:31.325615Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 4131c86e-3393-4893-a015-b89d21303665 · outbound

This paper cites How to make more out of community data? a conceptual framework and its implementation as models and software.

Uncovering symmetric and asymmetric species associations from community and environmental data How to make more out of community data? a conceptual framework and its implementation as models and software

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:06:31.191116Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation cace2727-53eb-4898-9b0d-20ff45d4aea0 · outbound

This paper cites Clark, and Wilfried Thuiller.

Uncovering symmetric and asymmetric species associations from community and environmental data Clark, and Wilfried Thuiller

Reference 55

Resolution: verified exact; doi, observed 2026-08-06T18:06:26.692797Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 06dd5d44-b8b3-4327-baf9-99fbf4bf6ecb · outbound

This paper cites Understanding co-occurrence by modelling species simultaneously with a joint species distribution model (jsdm).

Uncovering symmetric and asymmetric species associations from community and environmental data Understanding co-occurrence by modelling species simultaneously with a joint species distribution model (jsdm)

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:06:31.050904Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 9fff257d-a5cc-439f-8e09-9bb2521478b5 · outbound

This paper cites Pollock, L.M.J.

Uncovering symmetric and asymmetric species associations from community and environmental data Pollock, L.M.J

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:06:30.892943Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 51e2d79a-a059-4ec0-ad23-d4055a4bb627 · outbound

This paper cites A general algorithm for covariance modeling of discrete data.

Uncovering symmetric and asymmetric species associations from community and environmental data A general algorithm for covariance modeling of discrete data

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:06:30.703178Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation a083192b-a15e-4264-8ddc-f98c5411aefc · outbound

This paper cites Untangling direct species associations from indirect mediator species effects with graphical models.

Uncovering symmetric and asymmetric species associations from community and environmental data Untangling direct species associations from indirect mediator species effects with graphical models

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:06:30.571117Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 19eb25bb-3bdd-484d-ac9c-3823c624125e · outbound

This paper cites On the relationship between niche and distribution.

Uncovering symmetric and asymmetric species associations from community and environmental data On the relationship between niche and distribution

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:06:30.384931Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 1bae717e-6f5f-4743-9a63-417c52614ebb · outbound

This paper cites Ecological network inference from long-term presence-absence data.

Uncovering symmetric and asymmetric species associations from community and environmental data Ecological network inference from long-term presence-absence data

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:06:30.151408Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation fad50a06-617f-4ba3-97a5-e0bb445961d7 · outbound

This paper cites Resource partitioning in ecological communities.

Uncovering symmetric and asymmetric species associations from community and environmental data Resource partitioning in ecological communities

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:06:29.818201Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation cf926d5a-3f8a-4850-a93c-460eb565dfbf · outbound

This paper cites Package ‘bnlearn’.

Uncovering symmetric and asymmetric species associations from community and environmental data Package ‘bnlearn’

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:06:29.562847Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation c1dc9ae9-2642-4d4f-9c64-b3acfb1b80cb · outbound

This paper cites u nkem \.

Uncovering symmetric and asymmetric species associations from community and environmental data u nkem \

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:06:29.338289Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 33bb799c-badf-4be5-86e5-ea014dec09b0 · outbound

This paper cites u nkem \.

Uncovering symmetric and asymmetric species associations from community and environmental data u nkem \

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:06:29.103546Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation d223f4dd-f037-4145-bc11-b259d8504fd7 · outbound

This paper cites Karger, and Niklaus E.

Uncovering symmetric and asymmetric species associations from community and environmental data Karger, and Niklaus E

Reference 66

Resolution: verified exact; doi, observed 2026-08-06T18:06:26.571247Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 041a9164-ff47-4e3e-8fe2-5c9150695070 · outbound

This paper cites Biodiversity and ecological redundancy.

Uncovering symmetric and asymmetric species associations from community and environmental data Biodiversity and ecological redundancy

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:06:28.887057Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 28050a32-0d39-41ce-8be0-e68be652ef71 · outbound

This paper cites an unresolved cited work.

Uncovering symmetric and asymmetric species associations from community and environmental data Unresolved cited work

Reference 68

Resolution: unresolved; raw_fallback, observed 2026-08-06T18:06:28.613589Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation c4875778-544e-4798-b911-6d3416a74282 · outbound

This paper cites So many variables: joint modeling in community ecology.

Uncovering symmetric and asymmetric species associations from community and environmental data So many variables: joint modeling in community ecology

Reference 69

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:06:28.330791Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation d474cfa4-5fbb-420e-9f84-98350c372043 · outbound

This paper cites Ecological assembly rules: perspectives, advances, retreats.

Uncovering symmetric and asymmetric species associations from community and environmental data Ecological assembly rules: perspectives, advances, retreats

Reference 70

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:06:28.145120Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation ce19887e-d5af-4533-8a71-3c4b06315053 · outbound

This paper cites The role of biotic interactions in shaping distributions and realised assemblages of species: implications for species distribution modelling.

Uncovering symmetric and asymmetric species associations from community and environmental data The role of biotic interactions in shaping distributions and realised assemblages of species: implications for species distribution modelling

Reference 71

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:06:27.972619Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation a44d895b-8e54-4d9d-ac3b-b2ebc683bee2 · outbound

This paper cites Pollock, and Wilfried Thuiller.

Uncovering symmetric and asymmetric species associations from community and environmental data Pollock, and Wilfried Thuiller

Reference 72

Resolution: verified exact; doi, observed 2026-08-06T18:06:26.375240Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation eeee689b-df49-4f6c-8e7a-d69641967d48 · outbound

This paper cites Consistent shifts in alpine plant traits along a mesotopographical gradient.

Uncovering symmetric and asymmetric species associations from community and environmental data Consistent shifts in alpine plant traits along a mesotopographical gradient

Reference 73

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:06:27.852512Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation cc54ee42-b2c8-494a-ae5d-0d34de21a2f7 · outbound

This paper cites an unresolved cited work.

Uncovering symmetric and asymmetric species associations from community and environmental data Unresolved cited work

Reference 74

Resolution: unresolved; raw_fallback, observed 2026-08-06T18:06:27.738824Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 522616da-ceb6-480d-818c-be7582dfb2a0 · outbound

This paper cites Trophic groups and modules: two levels of group detection in food webs.

Uncovering symmetric and asymmetric species associations from community and environmental data Trophic groups and modules: two levels of group detection in food webs

Reference 75

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:06:27.612953Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 648f3261-1a5e-4caf-8052-5d3ef158710e · outbound

This paper cites B., and Whitney, D.

Uncovering symmetric and asymmetric species associations from community and environmental data B., and Whitney, D

Reference 76

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:06:27.468573Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation a10940b1-ef9b-4a34-967e-44f159df6513 · outbound

This paper cites an unresolved cited work.

Uncovering symmetric and asymmetric species associations from community and environmental data Unresolved cited work

Reference 77

Resolution: unresolved; raw_fallback, observed 2026-08-06T18:06:27.351362Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation ec7185e6-a792-44b1-b2d6-57361be5656c · outbound

This paper cites E., and Weaver, W.

Uncovering symmetric and asymmetric species associations from community and environmental data E., and Weaver, W

Reference 78

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:06:27.196533Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Outbound references

Pith citing papers