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Why do we map threats? Linking threat mapping with actions to make better conservation decisions.
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- Frontiers in Ecology & the Environment, 2015, v. 13, n. 2, p. 91, doi. 10.1890/140022
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Spread management priorities to limit emerald ash borer (Agrilus planipennis) impacts on United States street trees.
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- Conservation Science & Practice, 2024, v. 6, n. 3, p. 1, doi. 10.1111/csp2.13087
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Anomaly Detection in Endemic Disease Surveillance Data Using Machine Learning Techniques.
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- Healthcare (2227-9032), 2023, v. 11, n. 13, p. 1896, doi. 10.3390/healthcare11131896
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Prioritizing revived species: what are the conservation management implications of de-extinction?
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- Functional Ecology, 2017, v. 31, n. 5, p. 1041, doi. 10.1111/1365-2435.12720
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Priority threat management of invasive animals to protect biodiversity under climate change.
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- Global Change Biology, 2015, v. 21, n. 11, p. 3917, doi. 10.1111/gcb.13034
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Growing biodiverse carbon-rich forests.
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- Global Change Biology, 2014, v. 20, n. 2, p. 382, doi. 10.1111/gcb.12345
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Value of information analysis for pandemic response: intensive care unit preparedness at the onset of COVID-19.
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- BMC Health Services Research, 2023, v. 23, p. 1, doi. 10.1186/s12913-023-09479-4
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Which States Matter? An Application of an Intelligent Discretization Method to Solve a Continuous POMDP in Conservation Biology.
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- PLoS ONE, 2012, v. 7, n. 2, p. 1, doi. 10.1371/journal.pone.0028993
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The value of understanding feedbacks from ecosystem functions to species for managing ecosystems.
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- Nature Communications, 2019, v. 10, n. 1, p. N.PAG, doi. 10.1038/s41467-019-11890-7
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- Article
Quantifying the impact of uncertainty on threat management for biodiversity.
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- Nature Communications, 2019, v. 10, n. 1, p. N.PAG, doi. 10.1038/s41467-019-11404-5
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Predicting the optimal amount of time to spend learning before designating protected habitat for threatened species.
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- Methods in Ecology & Evolution, 2022, v. 13, n. 3, p. 722, doi. 10.1111/2041-210X.13770
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- Article
A primer on partially observable Markov decision processes (POMDPs).
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- Methods in Ecology & Evolution, 2021, v. 12, n. 11, p. 2058, doi. 10.1111/2041-210X.13692
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A Shiny r app to solve the problem of when to stop managing or surveying species under imperfect detection.
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- Methods in Ecology & Evolution, 2020, v. 11, n. 12, p. 1707, doi. 10.1111/2041-210X.13501
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- Article
Timing of Protection of Critical Habitat Matters.
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- Conservation Letters, 2017, v. 10, n. 3, p. 308, doi. 10.1111/conl.12266
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- Article
Buffel grass and climate change: a framework for projecting invasive species distributions when data are scarce.
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- Biological Invasions, 2015, v. 17, n. 11, p. 3197, doi. 10.1007/s10530-015-0945-9
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Fire management strategies to maintain species population processes in a fragmented landscape of fire-interval extremes.
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- Ecological Applications, 2016, v. 26, n. 7, p. 2175, doi. 10.1002/eap.1362
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Allocating conservation resources between areas where persistence of a species is uncertain.
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- Ecological Applications, 2011, v. 21, n. 3, p. 844, doi. 10.1890/09-2075.1
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Dynamic species co-occurrence networks require dynamic biodiversity surrogates.
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- Ecography, 2016, v. 39, n. 12, p. 1185, doi. 10.1111/ecog.02143
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MDPtoolbox: a multi-platform toolbox to solve stochastic dynamic programming problems.
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- Ecography, 2014, v. 37, n. 9, p. 916, doi. 10.1111/ecog.00888
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A Call for International Leadership and Coordination to Realize the Potential of Conservation Technology.
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- BioScience, 2019, v. 69, n. 10, p. 823, doi. 10.1093/biosci/biz090
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Prioritizing recovery funding to maximize conservation of endangered species.
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- Conservation Letters, 2018, v. 11, n. 6, p. N.PAG, doi. 10.1111/conl.12604
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Optimization methods to solve adaptive management problems.
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- Theoretical Ecology, 2017, v. 10, n. 1, p. 1, doi. 10.1007/s12080-016-0313-0
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Identifying technology solutions to bring conservation into the innovation era.
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- Frontiers in Ecology & the Environment, 2019, v. 17, n. 10, p. 591, doi. 10.1002/fee.2111
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Building a stakeholder-led common vision increases the expected cost-effectiveness of biodiversity conservation.
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- PLoS ONE, 2019, v. 14, n. 6, p. 1, doi. 10.1371/journal.pone.0218093
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A general optimal adaptive framework for managing a threatened species.
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- Ecological Solutions & Evidence, 2022, v. 3, n. 4, p. 1, doi. 10.1002/2688-8319.12186
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An introduction to decision science for conservation.
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- Conservation Biology, 2022, v. 36, n. 1, p. 1, doi. 10.1111/cobi.13868
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Fundamental insights on when social network data are most critical for conservation planning.
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- Conservation Biology, 2020, v. 34, n. 6, p. 1463, doi. 10.1111/cobi.13500
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Setting conservation priorities for migratory networks under uncertainty.
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- Conservation Biology, 2017, v. 31, n. 3, p. 646, doi. 10.1111/cobi.12842
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Benefits of integrating complementarity into priority threat management.
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- Conservation Biology, 2015, v. 29, n. 2, p. 525, doi. 10.1111/cobi.12413
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Accounting for Complementarity to Maximize Monitoring Power for Species Management.
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- Conservation Biology, 2013, v. 27, n. 5, p. 988, doi. 10.1111/cobi.12092
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Setting Realistic Recovery Targets for Two Interacting Endangered Species, Sea Otter and Northern Abalone.
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- Conservation Biology, 2012, v. 26, n. 6, p. 1016, doi. 10.1111/j.1523-1739.2012.01951.x
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Quantifying the value of monitoring species in multi‐species, multi‐threat systems.
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- Methods in Ecology & Evolution, 2018, v. 9, n. 7, p. 1706, doi. 10.1111/2041-210X.13037
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Selecting simultaneous actions of different durations to optimally manage an ecological network.
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- Methods in Ecology & Evolution, 2017, v. 8, n. 10, p. 1332, doi. 10.1111/2041-210X.12744
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When do we need more data? A primer on calculating the value of information for applied ecologists.
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- Methods in Ecology & Evolution, 2015, v. 6, n. 10, p. 1219, doi. 10.1111/2041-210X.12423
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Complex decisions made simple: a primer on stochastic dynamic programming.
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- Methods in Ecology & Evolution, 2013, v. 4, n. 9, p. 872, doi. 10.1111/2041-210X.12082
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Beyond stochastic dynamic programming: a heuristic sampling method for optimizing conservation decisions in very large state spaces.
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- Methods in Ecology & Evolution, 2011, v. 2, n. 2, p. 221, doi. 10.1111/j.2041-210X.2010.00069.x
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Optimizing ecological surveys for conservation.
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- Journal of Applied Ecology, 2023, v. 60, n. 1, p. 41, doi. 10.1111/1365-2664.14309
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Combining species distribution models and value of information analysis for spatial allocation of conservation resources.
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- Journal of Applied Ecology, 2020, v. 57, n. 4, p. 819, doi. 10.1111/1365-2664.13580
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General rules for environmental management to prioritise social ecological systems research based on a value of information approach.
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- Journal of Applied Ecology, 2019, v. 56, n. 8, p. 2079, doi. 10.1111/1365-2664.13425
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Priority Threat Management for biodiversity conservation: A handbook.
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- Journal of Applied Ecology, 2019, v. 56, n. 2, p. 481, doi. 10.1111/1365-2664.13268
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Win‐wins for biodiversity and ecosystem service conservation depend on the trophic levels of the species providing services.
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- Journal of Applied Ecology, 2018, v. 55, n. 5, p. 2160, doi. 10.1111/1365-2664.13192
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When to monitor and when to act: Value of information theory for multiple management units and limited budgets.
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- Journal of Applied Ecology, 2018, v. 55, n. 5, p. 2102, doi. 10.1111/1365-2664.13132
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Finding the best management policy to eradicate invasive species from spatial ecological networks with simultaneous actions.
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- Journal of Applied Ecology, 2017, v. 54, n. 6, p. 1989, doi. 10.1111/1365-2664.12884
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Priority threat management of non-native plants to maintain ecosystem integrity across heterogeneous landscapes.
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- Journal of Applied Ecology, 2015, v. 52, n. 5, p. 1135, doi. 10.1111/1365-2664.12500
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Simple rules to contain an invasive species with a complex life cycle and high dispersal capacity.
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- Journal of Applied Ecology, 2012, v. 49, n. 1, p. 52, doi. 10.1111/j.1365-2664.2011.02093.x
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Optimally managing under imperfect detection: a method for plant invasions.
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- Journal of Applied Ecology, 2011, v. 48, n. 1, p. 76, doi. 10.1111/j.1365-2664.2010.01915.x
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Solving multi-objective optimization problems in conservation with the reference point method.
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- PLoS ONE, 2018, v. 13, n. 1, p. 1, doi. 10.1371/journal.pone.0190748
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A preliminary approach to quantifying the overall environmental risks posed by development projects during environmental impact assessment.
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- PLoS ONE, 2017, v. 12, n. 7, p. 1, doi. 10.1371/journal.pone.0180982
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