About

QuantitativeEcology is a Research Lab in the School of Forestry and the Ecological Restoration Institute at Northern Arizona University. We focuses on the application of advanced mathematical, computational, technological and statistical tools to any number of problems spanning from modeling population dynamics to devleoping "big data" solutions and algorithims to imporviing our understanding of spatial patterns and species interactions. Quantitative ecologists often apply some combination of deterministic and/or stochastic mathematical models to theoretical ecological questions and commonly depend on sophisticated methods in applied statistics, mathematics and computer science.

Our research aim is to exploit the potential of information found in increasingly larger and more complex data sets using mathematical equations, conceptual graphics, and model development. While quantitative ecology can deepen our understanding of the world, the field commonly requires strong analytical and creative problem-solving skills. QuantitativeEcology is committed to developing scientists with these skills and collaborating with other researchers and organizations devoted to quantitative analyses and rigor, open enquiry, and enhancing our understanding of ecological systems.

People

Andrew Sanchez Meador - P.I. (Hometown: Brandon, MS) Dr. Sánchez Meador is the Executive Director of the Ecological Restoration Institute and a Professor of Forest Biometrics and Quantitative Ecology in the School of Forestry at Northern Arizona University. His research program focuses primarily on quantitative forest ecology, spatial pattern-process interactions, applied remote sensing, forest biometrics, vegetation dynamics and modeling and ecological restoration. His current research and teaching interests range from multi-scale forest restoration and ecology issues, to practical interpretations of large complex data sets, to neighborhood effects on individual tree growth and stand patterning, to new ways of visualizing data for science communication.

Meagan Dreher - Research Coordinator (Stonington, CT) Meagan is the Research Coordinator for the ABOR-funded 3D Fuels and Fire/Hydro Modeling Project, which is a collaborative effort involving Northern Arizona University, the University of Arizona, and the US Geological Survey, aimed at providing accurate fuel assessments and improving fire behavior simulations to support strategic hazardous fuels reduction and wildfire mitigation in Arizona's wildland-urban interface. Meagan has a robust background in forestry and ecological management and recently completed her M.S. in Forestry at Northern Arizona University, where her thesis focused on understory vegetation responses to fuel treatments.

Keegan Line - Ph.D. (Olympia, WA) Keegan’s dissertation (co-advised with Dr. Robert Buscaglia) involves developing deep learning technologies to utilize airborne lidar data for predicting tree species in conifer-dominated forests of northern Arizona. Keegan is working closely with the USDA Forest Service and the Ecological Restoration Institute to create and validate a data fusion platform, providing precise forest structural and compositional information to support sustainable forest management and decision-making.

Tristan O'Mara - Ph.D. (Hometown: Seattle, WA) Tristan's reserach centers around a Salt River Project-funded project to develop a Strategic Prioritization And Restoration toolKIT (SPARKit) for forest and woodlands of north-central Arizona. She is working with stakeholders to collaboratively scope and compile information (e.g., public perspectives, stakeholder values at risk, previous and current prioritization efforts and resource assessments) that will be necessary for SPARKit, which can then in turn be used to facilitate sequencing of treatments among and within watersheds across the forest and woodlands of a pilot landscape in north-central Arizona. Tristan's work provides the foundation to meet public land management goals of 1) effectively changing fire behavior and mitigating wildifre effects, and 2) improving the overall resilience of regional landscapes.

Mady Litzenberger - M.Sc. (Hometown: Tyler, TX) Mady's project, undertaken in the Priest River Experimental Forest of northern Idaho, explores the use of the free-selection silvicultural system to enhance resilience in northern Rockies mixed conifer forests. Initiated in 2006, it aims to reintroduce shade-intolerant tree species, particularly affected by the invasion of white pine blister rust since the early 1900s, and assess the impact of canopy openness and site preparation on their regeneration and survival. Collaborating with the United States Forest Service, the study spans 80 hectares, integrating 16 experimental strata across various canopy openness classes and site preparation methods to understand conditions fostering forest resilience and the survival of these species.

Reese Crebbin - M.Sc. (Hometown: Medford, OR) Reese's research focuses on piñon-juniper ecosystems in northern Arizona, examining the effects of piñon pine mortality events (and to a lesser extent juniper dieback) on disturbance regimes in these vitally important ecosystems. The project aims to model potential fire behavior under these changing structure conditions and assess the impacts on avian species that use this large habitat expanse, specifically the Pinyon Jay. The end goal of this research is to provide forest managers and conservationists with information about the impacts that climate change will have, and is having, on piñon-juniper woodlands by collaborating with the Ecological Restoration Institute and management agencies to disseminate this work..

Nate Beine - M.Sc. (Hometown: Spokane, WA) Nate's research centers around using Terrestrial Laser Scanning (TLS) to characterize forest understory conditions through prediction of vegetation biomass and cover. Funded through an Arizona Board of Regents (ABOR) fuel monitoring grant, this project seeks to provide land managers with efficient and effective methods for elucidating critical information about ecological conditions, wildlife habitat, fuel levels and more. This study will take place in the Pinyon-Juniper ecosystem of northern Arizona, an extensive and dynamic land type where monitoring is becoming increasingly important.preparation methods to understand conditions fostering forest resilience and the survival of these species.

Jill Beckmann - Ph.D. (Hometown: Centerville, OH) Jill's research focuses on understanding neighborhood- or fine-scale spatial patterning, forest successional trajectories following treatments, and the role of plant interactions and climate on individual tree growth, mortality and ecological processes.

Alumni

Elena Rodriguez - B.S., ERI UG Researcher	Aidan Franko - M.F.
Ryan Blackburn - Ph.D.	Merideth Reiser - M.Sc.
Alex Spannuth	John Pelak - M.Sc.
Jonathon Donager - Postdoctoral Scholar	Caden Chamberlian - B.S., Hooper UG Researcher
Matt Jaquette - M.Sc.	Lucas Molina – M.Sc.
Dany Rochimi – M.Sc.	Sidney Michl - B.S., ERI UG Researcher
Kendle Webster - B.S., ERI UG Researcher	Marguerite Rapp – M.Sc.
Sushil Nepal – M.Sc.	Tim Bryant – M.Sc.
Michael O’Reilly – B.S., Hooper UG Researcher	Kyle Rodman – M.Sc.
Michael Johnson – M.Sc.	Karin Kralicek – Lab Assistant
Eryn Schneider	Greg Black – B.S., Hooper UG Researcher
Ben DeBlois – B.S., Hooper UG Researcher	Jake Dyer – B.S., Hooper UG Researcher

Projects

QuantitativeEcology develops research projects centered on quantifying how natural and anthropogenic disturbances shape forested ecosystems and the application of novel quantitative approaches to answer questions regarding these ecosystems. Our research interests include applied statistics, restoration ecology, ecosystem pattern-process interactions, vegetation demographics and dynamics, exploring factors influencing the economics of fire suppression and treatment costs, and emerging technology – specifically mobile devices and sensors, open-source hardware, and unmanned aerial systems.

In general, we adopt an open approach to quantitative investigations, working from exploratory data analyses to mathematical-based analytics. Quantitative analyses are, thus, treated more like a proper language than tools and we use this language to enhance our understating of ecological systems. QuantitativeEcology is a flexible and resilient research lab, open to collaborations with federal and state land management agencies, private institutions, NGOs, other universities, and private companies.

Ecological Restoration and Resilience Building Grounded in historical reference conditions, our restoration research seeks to rebuild the structural and functional integrity of degraded ecosystems to promote long-term resilience. We employ spatial and temporal analysis to model past forest structures and develop management techniques that enhance forest composition and function, making them better adapted to the challenges of climate change and other stressors. By focusing on achieving desired conditions, our work ensures that restored landscapes support biodiversity, enhance ecosystem services, and align with cultural and community values, providing a science-based approach to resilient forest ecosystems.

Remote Sensing and AI for Ecosystem Monitoring and Management Our work applies cutting-edge remote sensing tools, such as lidar, UAV photogrammetry, and multispectral imaging, alongside advanced AI and machine learning techniques, to track forest dynamics and ecosystem health over time. By refining species classification with neural networks and improving accuracy in monitoring vegetation structures, we’re able to detect subtle environmental changes, track post-disturbance recovery, and assess ecosystem resilience. This data-driven approach not only offers precise, real-time information for forest managers but also contributes to scalable monitoring frameworks that adapt to landscape-level ecological changes, supporting effective decision-making in natural resource management.

Fire Ecology and Adaptive Management in Fire-Prone Landscapes Recognizing the complex role of fire in shaping forest ecosystems, our research delves into fire ecology and adaptive management practices that reduce wildfire risk while supporting ecosystem function. We focus on the impacts and effectiveness of prescribed burns, resource objective wildfires, and fuel reduction treatments. Key efforts include developing community-supported strategies for smoke management and assessing how prescribed fire affects ecological resilience, water supplies, and carbon dynamics. Our findings aim to inform land management policies and empower stakeholders, from forest managers to local communities, in navigating the challenges of fire management across fire-prone landscapes.

Forest Biometrics and Quantitative Ecology Through precise forest measurements and quantitative modeling, we assess critical forest metrics such as biomass, carbon storage, tree growth, and stand density dynamics. By advancing statistical techniques in forest biometrics, our research provides valuable insights into forest productivity and the sustainable use of natural resources. These efforts aid in decision-making for forest carbon sequestration, ecosystem service valuation, and climate change mitigation, supporting land managers as they balance conservation goals with economic demands. Our approach underscores the importance of reliable data and robust analytics in addressing current challenges in forest management.

Pinyon-Juniper Ecosystems and Wildlife Habitat Restoration Our research emphasizes the ecological importance of pinyon-juniper woodlands, particularly their role in wildlife habitat provision, soil conservation, and post-disturbance recovery. We investigate ecosystem dynamics within these woodlands, focusing on how fire, climate, and human activities affect habitat availability for species like the pinyon jay. By evaluating restoration techniques and monitoring vegetation demographics, we develop strategies to support these landscapes, ensuring they can sustain biodiversity, support critical wildlife, and provide valuable ecosystem services over time.

Data-Driven Decision Support for Natural Resource Management In collaboration with stakeholders, we develop decision-support tools that synthesize ecological data to guide management strategies for natural resources. By integrating remote sensing data, ecological modeling, and field inventories, our tools help managers make informed decisions that balance ecosystem health with economic and social considerations. These tools are designed to adapt to evolving environmental conditions, providing land managers, policymakers, and community leaders with actionable insights to address complex challenges in forest and landscape management effectively.

Teaching

Publications

1. Murphy, M.C., Loudermilk, E.L., Pokswinski, S., Williams, B., Link, E., Lienesch, L., Douglas, L., Skowronski, N., Gallagher, M., Maxwell, A., Snitker, G., Hawley, C., Wallace, D., Payne, I., Yurkiewicz, T., Sánchez Meador, A.J., Anderson, C., Jackson, J.M., Parsons, R., Floca, M., Nealey, I., Hiers, J.K., Wallace, J., In Press. Terrestrial 3D Laser Scanning for Ecosystem and Fire Effects Monitoring. General Technical Report SRS-GTR-XXX. Asheville, NC: U.S. Department of Agriculture, Forest Service, Southern Research Station. 24p. Download Preprint
2. Eastburn, J.F., Campbell, M., Dennison, Anderegg, W.R.J., Barrett, K.J., P., Fekety, P., Flake, S., Huffman, D.W., Kannenberg, S., Kerr, K.L., Sánchez Meador, A.J., and Vogeler, J.C. 2024. Ecological and Climatic Transferability of Airborne Lidar-Driven Aboveground Biomass Models in Piñon-Juniper Woodlands. GIScience & Remote Sensing, 61(1) 2366577. Download
3. Hjerpe, E., Colavito, M. M., Waltz, A. E., & Sánchez Meador, A.J. 2024. Ecological Economics Return on Investments in the Restoration of Frequent-Fire Forests of the American West: A Meta-Analysis. Ecological Economics. 223, 108244. Download
4. O’Mara, T., Sánchez Meador, A.J., Waltz, A., Colavito, M., & Barton, E. 2024. Navigating the Evolving Landscape of Wildfire Management: A Systematic Review of Decision Support Tools. Trees, Forests and People. 16, 100575. Download
5. Westfall, James A.; Coulston, John W.; Gray, Andrew N.; Shaw, John D.; Radtke, Philip J.; Walker, David M.; Weiskittel, Aaron R.; MacFarlane, David W.; Affleck, David L.R.; Zhao, Dehai; Temesgen, Hailemariam; Poudel, Krishna P.; Frank, Jereme M.; Prisley, Stephen P.; Wang, Yingfang; Sánchez Meador, Andrew J.; Auty, David; Domke, Grant M. 2023. A national-scale tree volume, biomass, and carbon modeling system for the United States. Gen. Tech. Rep. WO-104. Washington, DC: U.S. Department of Agriculture, Forest Service. 60 p. Download
6. Rodman, K.C., Davis, K.T., Parks, S.A., Chapman, T.B., Coop, J.D., Iniguez, J.M., Roccaforte, J.P., Sánchez Meador, A.J., Springer, J.D., Stevens-Rumann, C.S., Stoddard, M.T., Waltz, A.E.M., and Wasserman, T.N. 2023. Refuge-yeah or refuge-nah? Predicting locations of forest resistance and recruitment in a fiery world. Global Change Biology, 00, 1-22. Download
7. Hjerpe, E., Colavito, M., Edgeley, C., Burnett², J., Sánchez Meador, A.J., Combrink, T., and Vosick, D. 2023. Measuring the long-term costs of uncharacteristic wildfire: A case study of the 2010 Schultz Fire in northern Arizona. International Journal of Wildland Fire. Download
8. Vorster, A., Stevens-Rumann,, C. Young, N., Woodward, B., Chambers, M., Cheng, A., Tsz Hin Choi, C., Thompson, M., Schultz, C., Aplet, G., Caggiano, M., Addington, R., Battaglia, M., Bowker, D., Buma, D., Evangelista, P., Mueller, S., Romme, W., Huffman, D.W., Sánchez Meador, A.J., Tinkham., W., Tuten, M., and West Fordham, A. 2023. Metrics and considerations for evaluating forest treatment effectiveness for wildfire mitigation. Journal of Forestry, fvad036. Download
9. Schnake, D.K., Forrester, J.A., Sánchez Meador, A.J., Mladenoff, D.J., and Lorimer, C. 2023. Tree Regeneration and Spatial Patterning Among Midtolerant Tree Species, following Creation of Variable-Sized Harvest Gaps in Northern Wisconsin, USA. Frontiers in Forests and Global Change, 6:1144091. Download
10. Whelan, A., Cannon, J.B., Bigelow, S.W., Rutledge, B.T., and Sánchez Meador, A.J. 2023. Improving generalized models of forest structure in complex forest types using area- and voxel-based approaches from lidar. Remote Sensing of Environment, 113362. Download
11. Polinko, A.D., Rapp, M.A., Sánchez Meador, A.J., Graves, A.D., Ryerson, D.E., and Waring, K.M. 2022. Western Spruce Budworm Effects on Forest Resilience. Plants, 11(23), 3266 1-15. Download
12. Rodman, K.C., Crouse, J.E., Donager, J.J., Huffman, D.W., and A.J. Sánchez Meador. 2022. Patterns and drivers of recent land cover change on two trailing-edge forest landscapes. Forest Ecology and Management 521, 120449. Download
13. Fulé, P.Z., Sánchez Meador, A.J., Moore, M.M., Covington, W.W., Normandin, D.P., Kolb, T.E., Huffman, D.W., and J.P. Roccaforte. 2022. Forest restoration treatments increased growth and did not change survival of ponderosa pines in severe drought, Arizona. Ecological Applications, e2717. Download
14. Donager, J.J., Sánchez Meador, A.J., and D.W. Huffman. 2022. Southwestern ponderosa pine forest patterns following wildland fires managed for resource benefit differ from reference landscapes. Landscape Ecology, 37(1), 285-304. Download
15. Azpeleta Tarancón, A., Sánchez Meador, A.J., Padilla, T., Fulé, P.Z., and Y.-S. Kim. 2021. Trends of forest and ecosystem services changes in the Mescalero Apache Tribal Lands. Ecological Applications, 31(8), [e02459]. Download
16. Singleton, M.P., Thode, A.E., Sánchez Meador, A.J., Iniguez, J.M., and J.T. Stevens. 2021. Management strategy influences landscape patterns of high-severity fire in the southwestern US. Landscape Ecology, 36(12), 3429-3449. Download
17. Donager, J.J, Sankey, T., Sánchez Meador, A.J., Sankey, J., and A. Springer. 2021. Integrating airborne and mobile lidar data with UAV photogrammetry for rapid assessment of changing forest snow depth and cover. Science of Remote Sensing, 4, 100029. Download
18. Hagmann, R.K., Hessburg, P.F., Prichard, S.J., Povak, N.A., Brown, P., Fulé, P., Keane, R.E., Knapp, E., Krawchuk, M., Lyderson, J., Metlen, K., Reilly, M., Sánchez Meador, A.J., Stephens, S., Stevens, J., Taylor, A., Yocom, L., Battaglia, M.A., Churchill, D.J., Falk, D.A. , Johnston, J., Levine, C., Meigs, G., Merschel, A., Naficy, C. , North, M.P., Safford, H., Waltz, A. 2021. Evidence for Widespread Changes in the Structure, Composition, and Fire Regimes of Western North American Forests. Ecological Applications, 31(8), [e02431]. Download
19. Moore, M.M., Huffman, D.W., Fulé, P.Z., Sánchez Meador, A.J., Covington, W.W., Roccaforte, J.P., Springer, J.D., Stoddard, M.T., Normandin, D.P., Curran, S., Laughlin, D.C., Strahan, R.T., Moser, W.K. 2021. Fort Valley Experimental Forest G. A. Pearson Natural Area forest restoration site: tree overstory, herbaceous understory, fuels, and repeat photographs database. Fort Collins, CO: Forest Service Research Data Archive. Link
20. Blackburn, R.C. Buscaglia, R. and A.J. Sánchez Meador. 2021. Voxel-based descriptions of airborne lidar improve modeling of forest conditions. Canadian Journal of Forest Research. 51(8), 1106-1116. Download
21. Singleton, M.P., Thode, A.E., Sánchez Meador, A.J., and J.M. Iniguez. 2021. Moisture and vegetation cover limit ponderosa pine regeneration in high-severity burn patches in the southwestern US. Fire Ecology 17 (14), 1-15. Download
22. Stoddard, M.T., Roccaforte, J.P., Sánchez Meador, A.J., Huffman, D.W., Fulé, P.Z., Waltz, A.E.M, and W.W. Covington 2021. Ecological restoration guided by historical reference conditions can increase resilience to climate change of southwestern US Ponderosa pine forests. Forest Ecology and Management 493, 119256. Download
23. Donager, J.J., Sánchez Meador, A.J., and RC Blackburn. 2021. Adjudicating Perspectives on Forest Structure: How Do Airborne, Terrestrial, and Mobile Lidar-Derived Estimates Compare? Remote Sensing 13 (12), 2297. Download
24. Jaquette, M., Sánchez Meador, A.J., Huffman, D.W., and M.A. Bowker. 2021. Mid-Scale Drivers of Variability in Dry Mixed-Conifer Forests of the Mogollon Rim, Arizona. Forests. 12 (5), 622. Download
25. Vaughan, D., Auty, D., Dahlen, J., Sánchez Meador, A.J., and K. Mackes. 2021 Modelling variation in wood stiffness of Pinus ponderosa using static bending and acoustic measurements. Forestry: An International Journal of Forest Research 94 (2), 232-243. Download
26. Rochimi, D., Waring, K. M., and A.J. Sánchez Meador. 2021. Evaluating Early Post-fire Tropical Lower Montane Forest Recovery in Indonesia. Journal of Tropical Forest Science 33 (2), 113-125. Download
27. Vaughan, D., Auty, D., Kolb, T., Dahlen, J., Sánchez Meador, A.J., and K. Mackes. 2021. Wood density variation in naturally regenerated stands of Pinus ponderosa in northern Arizona, USA. Canadian Journal of Forest Research. 51 (4), 583-594. Download
28. Chamberlain, C., Sánchez Meador, A.J., and A. Thode. 2021. Airborne lidar provides reliable estimates of canopy base height and canopy bulk density in southwestern ponderosa pine forests. Forest Ecology and Management 481, 118695. Download
29. Sánchez Meador, A.J. 2020. Book Review: Individual-based Methods in Forest Ecology and Management: Individual-based Methods in Forest Ecology and Management. A. Pommerening and P. Grabarnik. 2019. Springer International Publishing. Switzerland. 411. Ecological Modelling:425: 109092. Download
30. Roussel, J.-R., Auty, D., Coops, N.C., Tompalski, P., Goodbody, T.R., Sánchez Meador, A.J., Bourdon, J.-F., de Boissieu, F., and A. Achim. 2020. lidR: An R package for analysis of Airborne Laser Scanning (ALS) data. Remote Sensing of Environment. 251: 112064. Download
31. Azpeleta Tarancón, Kim, Y-S., Padilla, T., Fulé, P.Z., and A.JSánchez Meador. 2020. Co-construction of ecosystem services management in tribal lands: Elicit Expert Opinion Approach. Weather, Climate, and Society. 12(3): 487-499. Download
32. Huffman, D.W., Floyd-Hanna, L., Hanna, D., Crouse, J.E., Fulé, P.Z., Sánchez Meador, A.J., and J.D. Springer. 2020. Fire regimes and structural changes in oak-pine forests of the Mogollon Highlands ecoregion: implications for ecological restoration. Forest Ecology and Management 465: 118087. Download.
33. Stoddard, M.T., Fulé, P.Z., Huffman, D.W., Sánchez Meador, A.J., and J.P. Roccaforte. 2020. Ecosystem management applications of resource objective wildfires in forests of the Grand Canyon National Park, USA. International Journal of Wildland Fire. 29: 190-200. Download
34. Bryant, T., Waring, K.M., Sánchez Meador, A.J., and J. Bradford. 2019. A Framework for Quantifying Resilience to Forest Disturbance. Frontiers in Forests and Global Change. 2, 56. Download
35. Huffman, D.W., Stoddard, M.T., Springer, J.D., Crouse, J.E., Sánchez Meador, A.J. and S. Nepal 2019. Stand dynamics of pinyon-juniper woodlands following hazardous fuels reduction treatments in Arizona. Rangeland Ecology and Management. 72(5):757-767. Download
36. Yazzie, J.O., Fulé, P.Z., Kim, Y.-S., and A.J. Sánchez Meador. 2019. Diné kinship for conserving native tree species in climate change. Ecological Applications. 29(6):e01944. Download
37. Vaughan, D., Auty, D., Kolb, T., Sánchez Meador, A.J., Mackes, K., Dahlen, J. and K. Moser. 2019. Climate alters ponderosa pine (Pinus ponderosa) wood density more than stand basal area in a replicated stand density experiment in the southwestern USA. Annals of Forest Science. 76(3):85 1-12. Download
38. Putraditama, A., Kim, Y.-S., Sánchez Meador, A.J., and H. Baral. 2019. Evaluating effectiveness of Community Forest scheme in reducing deforestation in Indonesia. Forest Policy and Economics. 106(2019) 101976. Download
39. Wasserman, T.N., Sánchez Meador, A.J. and A.E.M. Waltz. 2019. Grain and extent considerations are integral for monitoring landscape-scale desired conditions in fire-adapted forests. Forests. 10(6) 465. Download
40. Singleton, M.E., Thode, A.E., Sánchez Meador, A.J., and J. Iniguez. 2019. Increasing trends in high-severity fire in the southwestern USA from 1984-2015. Forest Ecology and Management. 433: 709-719. Download
41. Stoddard, M.T., Huffman, D.W., Fulé, P.Z., Crouse, J.E., and A.J. Sánchez Meador. 2018. Forest structure and regeneration 15 years after wildfire in a ponderosa pine and mixed conifer ecotone, Arizona, USA. Fire Ecology. 14: 12. Download
42. Azpeleta Tarancón, A., Fulé, P.Z., Sánchez Meador, A.J., Kim, Y-S., and T. Padilla. 2018. Spatiotemporal variability of fire regimes in adjacent Native American and public forests, New Mexico, USA. Ecosphere. 9(11): e02492. Download
43. Donager, J. Sankey, T.T., Sankey, J., Sánchez Meador, A.J., Springer, A. and J.D. Bailey. 2018. Examining forest structure with terrestrial lidar: suggestions and novel techniques based on comparisons between scanners and forest treatments. Earth and Space Science. 5(11): 753-776. Download
44. Whitehair, L., Fulé, P.Z., Sánchez Meador, A.J., Tarancón, A.A., and Yeon-Su Kim. 2018. Fire regime on a cultural landscape: Navajo Nation. Ecology and Evolution. 2018(8): 9848–9858. Download
45. Mockta, T.K., Fulé, P.Z., Sánchez Meador, A.J., Padilla, T., and Yeon-Su Kim. 2018 Sustainability of teepee pole stands on Mescalero Apache Tribal Lands: characteristics and climate change effects. Forest Ecology and Management 530: 250-258. Download
46. Burch, B.D. and A.J. Sánchez Meador. 2018. Comparison of forest age estimators using k-tree, fixed-radius, and variable-radius plot sampling. Canadian Journal of Forest Research 48 (8): 942-951. Download
47. Springer, J.D., Huffman, D.W., Stoddard M.T., Sánchez Meador, A.J., and Waltz, A.E.M. 2018. Plant community dynamics following hazardous fuel treatments and mega-wildfire in a southwestern warm-dry mixed-conifer forest. Forest Ecology and Management 429: 278-286. Download
48. Roccaforte, J.P., Sánchez Meador, A.J., Waltz, A.E.M., Gaylord, M.L., Stoddard, M.T., and D.W. Huffman. 2018. Delayed tree mortality, bark beetle activity, and regeneration dynamics five years following the Wallow Fire, Arizona, USA: assessing trajectories towards resiliency. Forest Ecology and Management 428: 20-26. Download
49. Goodrich, B.A., Waring, K.M., Auty, D. and A.J. Sánchez Meador. 2018. Interactions of management and white pine blister rust on Pinus strobiformis regeneration abundance in southwestern United States. Forestry: An International Journal of Forest Research 91: 1-14 Download
50. Pommerening, A. and A.J. Sánchez Meador. 2018. Tree interactions between myth and reality. Forest Ecology and Management. 424: 164-176. Download
51. Kralicek, K., Sánchez Meador, A.J., and L. Rathbun. 2018. Development and assessment of regeneration imputation models for forest in Oregon and Washington. Forest Ecology and Management. 409 667-682. Download
52. Huffman, D.W., Crouse, J.E., Sánchez Meador, A.J., Springer, J.D., and M.T. Stoddard. 2018. Restoration benefits of re-entry with resource objective wildfire on a ponderosa pine landscape in northern Arizona, USA. Forest Ecology and Management. 408: 16-24. Download
53. Laughlin, D.C., Strahan, R.T., Huffman, D.W., and A.J. Sánchez Meador. 2017. Using trait-based ecology to restore resilient ecosystems: historical conditions and the future of montane forests in western North America. Restoration Ecology. 25 (S2): S135-S146. Download
54. Owen, S.M., Sieg, C.H., Sánchez Meador, A.J., Fulé, P.Z., Iniguez, J.M., Baggett, L.S., Fornwalt, P.J., and M.A. Battaglia. 2017. Spatial patterns of ponderosa pine regeneration in high-severity burn patches. Forest Ecology and Management. 405: 134-149. Download
55. Rodman, K.C., Sánchez Meador, A.J., Moore, M.M., and D.W. Huffman. 2017. Influence of Forest Type and Abiotic Factors on Variability in Reference Conditions Across Pinus ponderosa-Dominated Forests in the Southwestern United States. Forest Ecology and Management. 404: 316-329. Download
56. Sánchez Meador, A.J., Springer J.D., Huffman, D.W., Crouse J.E., and M.A. Bowker. 2017. Ecological restoration treatments improve soil function in frequent-fire forests of the western United States: A systematic review. Restoration Ecology. 25: 497-508 Download
57. Massey, R., Sankey, T.T., Congalton, R.G., Yadav, K., Thenkabail, P.S., Ozdogan, M., and A.J. Sánchez Meador. 2017. MODIS phenology-derived, multi-year distribution of conterminous U.S. crop types. Remote Sensing of Environment. 198: 490-503. Download
58. Bagdon, B.A., Huang, C.-H., Sánchez Meador, A.J., and S. Dewhurst. 2017. Climate change constrains the efficiency frontier when managing forests to reduce fire severity and maximize carbon storage. Ecological Economics 140: 201-214. Download
59. Huffman, D.W., Sánchez Meador, A.J., Stoddard, M.T., Crouse, J.E., and J.P. Roccaforte. 2017. Efficacy of resource objective wildfires for restoring ponderosa pine (Pinus ponderosa) forests of northern Arizona. Forest Ecology and Management. 389: 395-403. Download
60. Strahan, R.T., Sánchez Meador, A.J., Huffman, D.W., and D.C. Laughlin. 2016. Shifts in community-level traits and functional diversity in a mixed conifer forest: a legacy of land-use change. Journal of Applied Ecology. 53(6) 1755-1765. Download
61. Rodman, K.C., Sánchez Meador, A.J. Huffman, D.W. and K.M. Waring. 2016. Reference conditions and historical fine-scale spatial dynamics in a mixed-conifer forest, Arizona, USA. Forest Science 3(62), 268-280. Download
62. Schneider, E., Sánchez Meador, A.J. and W.W. Covington. 2016. Reference conditions and historical changes in an unharvested ponderosa pine stand on sedimentary soils. Restoration Ecology 24: 212-221. Download
63. Taylor, M.H., Sánchez Meador, A.J., Kim, Y.S. Rollins, K., and Will, H. 2015. The economics of ecological restoration and hazardous fuel reduction treatments in the ponderosa pine forest ecosystem. Forest Science 61: 988-1008. Download
64. Stoddard, M.T., Sánchez Meador, A.J., Fulé, P.Z., and J.E. Korb. 2015. 5-year post-restoration treatment conditions and simulated forest trajectories under alternative climate scenarios in a southwestern warm/dry mixed-conifer forest. Forest Ecology and Management 356: 253-261. Download
65. Ouzts, J., Kolb, T. Sánchez Meador, A.J. and D.W. Huffman. 2015. Post-fire ponderosa pine plantings in Arizona and New Mexico. Forest Ecology and Management 354: 281-290. Download
66. Tuten, M.C., Sánchez Meador, A.J. and P.Z. Fulé. 2015. Ecological restoration and fine-scale structural regulation in Southwestern ponderosa pine forests. Forest Ecology and Management 348: 57-67. Download
67. Sánchez Meador, A.J., Waring, K.M., and E.L. Kalies. 2015. Implications of diameter caps on multiple forest resource responses in the context of 4FRI: Results from the Forest Vegetation Simulator. Journal of Forestry 113: 219-230. Download
68. Waltz, A.E.M., Stoddard, M.T., Kalies, E.L., Springer, J.D., Huffman, D.W. and A.J. Sánchez Meador. 2014. Effectiveness of fuel reduction treatments: assessing metrics of forest resiliency and wildfire severity after the Wallow Fire, AZ. Forest Ecology and Management 334: 43-52. Download
69. Nepal, S., Ojha, B.R., Sánchez Meador, A.J., Gaire, S.P. and C. Shilpakar. 2014. Effect of gamma rays on germination and photosynthetic pigments of maize (Zea mays L.) inbreds. International Journal of Research. 1: 511-545. Download
70. Azpeleta Tarancón, A., Fulé, P.Z., Shive, K.L., Sieg, C.H., Sánchez Meador, A.J. and B. Strom. 2014. Simulating post-wildfire forest trajectories under alternative climate and management scenarios Ecological Applications. 24: 1626-1637. Download
71. Reynolds, R.T., Sánchez Meador, A.J., Youtz, J.A., Nicotlet, T., Matonis, M.S., Jackson, P.L., Delorenzo, D., and A.D. Graves. 2013. Restoring composition and structure in Southwestern frequent-fire forests: a science-based framework for improving ecosystem resiliency. General Technical Report RMRS-GTR-310. Fort Collins, CO: U.S. Department of Agriculture, Forest Service, Rocky Mountain Research Station. 76p. Download
72. Gedeon, C.I., Drickamer, L.C., and A.J. Sánchez Meador. 2012. Importance of burrow-entrance mounds of Gunnison’s prairie dogs (Cynomys gunnisoni) for vigilance and mixing of soil. The Southwestern Naturalist. 57: 100-104. Download
73. Sánchez Meador, A.J., Parysow, P.F., and M.M. Moore. 2011. A new method for delineating tree patches and assessing spatial reference conditions of ponderosa pine forests in northern Arizona. Restoration Ecology. 19: 490-499. Download
74. Sánchez Meador, A.J. and M.M. Moore. 2010. Lessons from long-term studies of harvest methods in southwestern ponderosa pine-Gambel oak forests on the Fort Valley Experimental Forest, Arizona, U.S.A. Forest Ecology and Management. 260: 193-206. Download
75. Sánchez Meador, A.J., Parysow, P.F., and M.M. Moore. 2010. Historical stem-mapped permanent plots increase precision of reconstructed reference data in ponderosa pine forests of northern Arizona. Restoration Ecology. 18: 224-234. Download
76. Sánchez Meador, A.J., Moore, M.M., Bakker, J.D. and P.F. Parysow. 2009. 108 years of change in spatial pattern following selective harvest of a ponderosa pine stand in northern Arizona, USA. Journal of Vegetation Science. 20: 79-90. Download
77. Abella, S.R., Covington, W.W., Fulé, P.Z., Lentile, L.B., Sánchez Meador, A.J., and P. Morgan. 2007. Past, Present, and Future Old Growth in Frequent-Fire Conifer Forests of the Western United States. Ecology and Society 12: 16. Download

Media

Contact

Elements

i = 0;

while (!deck.isInOrder()) {
    print 'Iteration ' + i;
    deck.shuffle();
    i++;
}

print 'It took ' + i + ' iterations to sort the deck.';