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Cited by 224

The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.

Protecting Biodiversity (in All Its Complexity): New Models and Methods

Open access
Pollock, Laura J., O’Connor, Louise M.J., Mokany, Karel, Rosauer, Dan F., Talluto, Lauren, Thuiller, Wilfried·2020·Trends in Ecology & Evolution

Abstract

We are facing a biodiversity crisis at the same time as we are acquiring an unprecedented view of the world's biodiversity. Vast new datasets (e.g., species distributions, traits, phylogenies, and interaction networks) hold knowledge to better comprehend the depths of biodiversity change, reliably anticipate these changes, and inform conservation actions. To harness this information for conservation, we need to integrate the largely independent fields of biodiversity modeling and conservation. We highlight new developments in each respective field, early examples of how they are being brought together, and ideas for a future synthesis such that conservation decisions can be made with fuller awareness of the biodiversity at stake.

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Metadata

Authors
Pollock, L. J., O’Connor, L. M. J., Mokany, K., Rosauer, D. F., Talluto, L., & Thuiller, W.
Venue
Trends in Ecology & Evolution
Publisher
Elsevier BV
Published
2020-12
Volume
35
Issue
12
Pages
1119-1128
ISSN
0169-5347 (ISSN-L)
OpenAlex
W3088574105
Cited by
224
References
5
FWCI
2.41
Type
journal article
Language
en
Open access
bronze

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CoChat. (2026). Citation check: Protecting Biodiversity (in All Its Complexity): New Models and Methods. https://app.cochat.ai/papers/10.1016/j.tree.2020.08.015
The paper
Pollock, L. J., O’Connor, L. M. J., Mokany, K., Rosauer, D. F., Talluto, L., & Thuiller, W. (2020). Protecting Biodiversity (in All Its Complexity): New Models and Methods. Trends in Ecology & Evolution. https://doi.org/10.1016/j.tree.2020.08.015

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.