Publications

Peer-reviewed

Google Scholar | ORCID

1. Cunningham, et al. [including Chapman] (2014). Impaired consciousness in partial seizures is bimodally distributed. Neurology.
   PDF

2. Galvin, Li, Villemaine, Poole,Chapman, Pollastri, Wyatt, Carlow. (2014). A Target Repurposing Approach Identifies N-myristoyltransferase as a New Candidate Drug Target in Filarial Nematodes. PLoS Neglected Tropical Diseases.
   PDF

3. Samndong, Bush, Vatn, and Chapman. (2018). Institutional analysis of causes of deforestation in REDD+ pilot sites in the Equateur province: Implication for REDD+ in the Democratic Republic of Congo. Land use policy.
   PDF

4. Griscom, et al. [including Chapman]. (2020). National mitigation potential from natural climate solutions in the tropics. Philosophical Transactions of the Royal Society B.
   PDF

5. Oestreich, Chapman ,and Crowder. (2020). A comparative analysis of dynamic management in marine and terrestrial systems. Frontiers in Ecology and the Environment.
   code | PDF

6. Chapman, et al. (2020). Large climate mitigation potential from adding trees to agricultural lands. Global Change Biology.
   code | PDF

7. Scoville, Chapman, Amironesei, Boettiger. (2021). Algorithmic Conservation Governance in a Changing Climate. Current Opinion in Environmental Sustainability.
   PDF

8. Ordway, et al., [including Chapman]. (2021) Leveraging the NEON Airborne Observation Platform for socio-environmental systems research. Ecosphere.
   PDF

9. Chapman^, Oestreich^, Frawley, Boettiger, Sibyl Diver, Santos, Scoville, Armstrong, Blondin, Chand, Haulsee, Knight, Crowder (2021) Promoting equity in the use of algorithms for high seas conservation. One Earth.
   code | PDF
   ^ equal contributions

10. Calhoun, Chapman, Tubbesing, McInturff, Gaynor, Van Scoyoc, Wilkinson, Parker‐Shames, Kurz, Brashares (2021). Spatial overlap of wildfires and biodiversity in California highlights gap in non-conifer fire research and management. Diversity and Distributions.
    PDF

11. Kitzes, et al.[including Chapman]. (2021). Expanding the National Ecological Observatory Network (NEON) biodiversity surveys with new instrumentation and machine learning models. Ecosphere.
    PDF

12. Nagy, et al. [including Chapman]. (2021). Harnessing the NEON Data Revolution to Advance Open Environmental Science with a Diverse and Data-Capable Community. Ecosphere.
    PDF

13. Roe, et al. [including Chapman].(2021). Land-based measures to mitigate climate change: potential and feasibility by country. Global Change Biology.
    PDF

14. Chapman, Scoville, Lapeyrolerie, Boettiger. (2021). Power and Accountability in Reinforcement Learning Applications to Environmental Policy. 35th Conference on Neural Information Processing Systems (NeurIPS 2021).
    PDF

15. Moravek et al., [including Chapman]. (2022) Centering 30x30 conservation initiatives on freshwater ecosystems. Frontiers in Ecology and the Environment (Accepted).

16. ^Dowd, Chapman, Koehn, Hoagland. (2022) The economic tradeoffs and ecological impacts associated with a potential mesopelagic fishery in the California Current. Ecological Applications.
    code | PDF
    ^undergraduate thesis mentee

17. Chapman, Wiltshire, Baur, Bowles, Carlisle, Castillo, Esquivel, Gennet, Iles, Karp, Kremen, Liebert, Olimpi, Ory, Ryan, Sciligo, Thompson, Waterhouse, Boettiger. (2022). Social-ecological feedbacks drive tipping points in farming system diversification. One Earth.
    code | PDF

18. Lapeyrolerie, Chapman, Norman, Boettiger. Deep Reinforcement Learning for Conservation Decisions. (2022). Methods in Ecology and Evolution
    code | PDF

19. Estein, Chapman, Schell, Lowy, Gerson. (2022). Demystifying the graduate school application process. Bulletin of the Ecological Society of America. PDF

20. Chapman, Boettiger, Brashares. (2023) Leveraging private lands to meet 2030 biodiversity targets in the United States. Conservation Science and Practice.
    code | PDF

21. Chapman, Xu, Lapeyrolerie, Boettiger. (2023). Bridging adaptive management and reinforcement learning for more robust decisions. Philosophical Transactions of the Royal Society B (In press). PDF

Preprints

1. (preprint) Kurz, Middleton, Chapman,Van Houtan, Wilkinson, Withey, and Brashares. Building bridges in the post-Trump era: can conservation scientists help recover bipartisan support for U.S. environmental protection?
   preprint

2. (preprint) Ellis-Soto, Chapman, Locke. Uneven biodiversity sampling across redlined urban areas in the United States.
   preprint

In prep/In review

Some of what I’m more actively working on! Full drafts of first author papers listed here as in-prep or in-review are available upon request

1. Chapman, Goldstein, Schell, Boettiger, & et al. (2023). Social and political dimensions of biodiversity monitoring (in prep).

2. Chapman, Jung, Boettiger, Brashares, Visconti. (2023). Spatial prioritization of conservation and restoration measures to meet 2030 biodiversity targets in the eu (in prep).

3. Hasting^, Ocloo^, Chapman^, Hunt^, Stenger. (2023). Trends in agroforestry research over four decades (in review). ^equal contributions

4. Montealegre-Mora, Laperolerie, Chapman, Boettiger. (2023). Pretty darn good control: When are approximate solutions better than approximate models? (in review).

5. Scoville, Faxon, Chapman, & et al. (2023). Environment, society and machine learning (in review).

Workshop contributions

1. Chapman. Governing AI Applications To Monitoring and Managing Our Global Environmental Commons. AAAI/ACM Conference on AI, Ethics, and Society, Student Track
   (Workshop paper) PDF