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1. Ten simple rules for working with high resolution remote sensing data

Author

Mahood, Adam L., Joseph, Maxwell B., Spiers, Anna I., Koontz, Michael J., Ilangakoon, Nayani, Solvik, Kylen K., Quarderer, Nathan, McGlinchy, Joe, Scholl, Victoria M., St. Denis, Lise A., Nagy, Chelsea, Braswell, Anna, Rossi, Matthew W., Herwehe, Lauren, Wasser, Leah, Cattau, Megan E., Iglesias, Virginia, Yao, Fangfang, Leyk, Stefan, and Balch, Jennifer K.

Subjects
Archaeology, CC1-960, Science
Abstract

Researchers in Earth and environmental science can extract incredible value from high- resolution (sub-meter, sub-hourly or hyper-spectral) remote sensing data, but these data can be difficult to use. Correct, appropriate and competent use of such data requires skills from remote sensing and the data sciences that are rarely taught together. In practice, many researchers teach themselves how to use high-resolution remote sensing data with ad hoc trial and error processes, often resulting in wasted effort and resources. In order to implement a consistent strategy, we outline ten rules with examples from Earth and environmental science to help academic researchers and professionals in industry work more effectively and competently with high-resolution data.

Published
2023
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4. Reimagine fire science for the anthropocene.

Author

Shuman, Jacquelyn K, Balch, Jennifer K, Barnes, Rebecca T, Higuera, Philip E, Roos, Christopher I, Schwilk, Dylan W, Stavros, E Natasha, Banerjee, Tirtha, Bela, Megan M, Bendix, Jacob, Bertolino, Sandro, Bililign, Solomon, Bladon, Kevin D, Brando, Paulo, Breidenthal, Robert E, Buma, Brian, Calhoun, Donna, Carvalho, Leila MV, Cattau, Megan E, Cawley, Kaelin M, Chandra, Sudeep, Chipman, Melissa L, Cobian-Iñiguez, Jeanette, Conlisk, Erin, Coop, Jonathan D, Cullen, Alison, Davis, Kimberley T, Dayalu, Archana, De Sales, Fernando, Dolman, Megan, Ellsworth, Lisa M, Franklin, Scott, Guiterman, Christopher H, Hamilton, Matthew, Hanan, Erin J, Hansen, Winslow D, Hantson, Stijn, Harvey, Brian J, Holz, Andrés, Huang, Tao, Hurteau, Matthew D, Ilangakoon, Nayani T, Jennings, Megan, Jones, Charles, Klimaszewski-Patterson, Anna, Kobziar, Leda N, Kominoski, John, Kosovic, Branko, Krawchuk, Meg A, Laris, Paul, Leonard, Jackson, Loria-Salazar, S Marcela, Lucash, Melissa, Mahmoud, Hussam, Margolis, Ellis, Maxwell, Toby, McCarty, Jessica L, McWethy, David B, Meyer, Rachel S, Miesel, Jessica R, Moser, W Keith, Nagy, R Chelsea, Niyogi, Dev, Palmer, Hannah M, Pellegrini, Adam, Poulter, Benjamin, Robertson, Kevin, Rocha, Adrian V, Sadegh, Mojtaba, Santos, Fernanda, Scordo, Facundo, Sexton, Joseph O, Sharma, A Surjalal, Smith, Alistair MS, Soja, Amber J, Still, Christopher, Swetnam, Tyson, Syphard, Alexandra D, Tingley, Morgan W, Tohidi, Ali, Trugman, Anna T, Turetsky, Merritt, Varner, J Morgan, Wang, Yuhang, Whitman, Thea, Yelenik, Stephanie, and Zhang, Xuan

Subjects
climate change, resilience, social–ecological systems, wildfire, wildland–urban interface
Abstract

Fire is an integral component of ecosystems globally and a tool that humans have harnessed for millennia. Altered fire regimes are a fundamental cause and consequence of global change, impacting people and the biophysical systems on which they depend. As part of the newly emerging Anthropocene, marked by human-caused climate change and radical changes to ecosystems, fire danger is increasing, and fires are having increasingly devastating impacts on human health, infrastructure, and ecosystem services. Increasing fire danger is a vexing problem that requires deep transdisciplinary, trans-sector, and inclusive partnerships to address. Here, we outline barriers and opportunities in the next generation of fire science and provide guidance for investment in future research. We synthesize insights needed to better address the long-standing challenges of innovation across disciplines to (i) promote coordinated research efforts; (ii) embrace different ways of knowing and knowledge generation; (iii) promote exploration of fundamental science; (iv) capitalize on the "firehose" of data for societal benefit; and (v) integrate human and natural systems into models across multiple scales. Fire science is thus at a critical transitional moment. We need to shift from observation and modeled representations of varying components of climate, people, vegetation, and fire to more integrative and predictive approaches that support pathways toward mitigating and adapting to our increasingly flammable world, including the utilization of fire for human safety and benefit. Only through overcoming institutional silos and accessing knowledge across diverse communities can we effectively undertake research that improves outcomes in our more fiery future.

Published
2022

5. Warming weakens the night-time barrier to global fire.

Author

Balch, Jennifer K, Abatzoglou, John T, Joseph, Maxwell B, Koontz, Michael J, Mahood, Adam L, McGlinchy, Joseph, Cattau, Megan E, and Williams, A Park

Subjects
Weather, Darkness, Global Warming, Wildfires, Climate Action, General Science & Technology
Abstract

Night-time provides a critical window for slowing or extinguishing fires owing to the lower temperature and the lower vapour pressure deficit (VPD). However, fire danger is most often assessed based on daytime conditions1,2, capturing what promotes fire spread rather than what impedes fire. Although it is well appreciated that changing daytime weather conditions are exacerbating fire, potential changes in night-time conditions-and their associated role as fire reducers-are less understood. Here we show that night-time fire intensity has increased, which is linked to hotter and drier nights. Our findings are based on global satellite observations of daytime and night-time fire detections and corresponding hourly climate data, from which we determine landcover-specific thresholds of VPD (VPDt), below which fire detections are very rare (less than 95 per cent modelled chance). Globally, daily minimum VPD increased by 25 per cent from 1979 to 2020. Across burnable lands, the annual number of flammable night-time hours-when VPD exceeds VPDt-increased by 110 hours, allowing five additional nights when flammability never ceases. Across nearly one-fifth of burnable lands, flammable nights increased by at least one week across this period. Globally, night fires have become 7.2 per cent more intense from 2003 to 2020, measured via a satellite record. These results reinforce the lack of night-time relief that wildfire suppression teams have experienced in recent years. We expect that continued night-time warming owing to anthropogenic climate change will promote more intense, longer-lasting and larger fires.

Published
2022

6. Harnessing the NEON data revolution to advance open environmental science with a diverse and data‐capable community

Author

Nagy, R Chelsea, Balch, Jennifer K, Bissell, Erin K, Cattau, Megan E, Glenn, Nancy F, Halpern, Benjamin S, Ilangakoon, Nayani, Johnson, Brian, Joseph, Maxwell B, Marconi, Sergio, O’Riordan, Catherine, Sanovia, James, Swetnam, Tyson L, Travis, William R, Wasser, Leah A, Woolner, Elizabeth, Zarnetske, Phoebe, Abdulrahim, Mujahid, Adler, John, Barnes, Grenville, Bartowitz, Kristina J, Blake, Rachael E, Bombaci, Sara P, Brun, Julien, Buchanan, Jacob D, Chadwick, K Dana, Chapman, Melissa S, Chong, Steven S, Chung, Y Anny, Corman, Jessica R, Couret, Jannelle, Crispo, Erika, Doak, Thomas G, Donnelly, Alison, Duffy, Katharyn A, Dunning, Kelly H, Duran, Sandra M, Edmonds, Jennifer W, Fairbanks, Dawson E, Felton, Andrew J, Florian, Christopher R, Gann, Daniel, Gebhardt, Martha, Gill, Nathan S, Gram, Wendy K, Guo, Jessica S, Harvey, Brian J, Hayes, Katherine R, Helmus, Matthew R, Hensley, Robert T, Hondula, Kelly L, Huang, Tao, Hundertmark, Wiley J, Iglesias, Virginia, Jacinthe, Pierre‐Andre, Jansen, Lara S, Jarzyna, Marta A, Johnson, Tiona M, Jones, Katherine D, Jones, Megan A, Just, Michael G, Kaddoura, Youssef O, Kagawa‐Vivani, Aurora K, Kaushik, Aleya, Keller, Adrienne B, King, Katelyn BS, Kitzes, Justin, Koontz, Michael J, Kouba, Paige V, Kwan, Wai‐Yin, LaMontagne, Jalene M, LaRue, Elizabeth A, Li, Daijiang, Li, Bonan, Lin, Yang, Liptzin, Daniel, Long, William Alex, Mahood, Adam L, Malloy, Samuel S, Malone, Sparkle L, McGlinchy, Joseph M, Meier, Courtney L, Melbourne, Brett A, Mietkiewicz, Nathan, Morisette, Jeffery T, Moustapha, Moussa, Muscarella, Chance, Musinsky, John, Muthukrishnan, Ranjan, Naithani, Kusum, Neely, Merrie, Norman, Kari, Parker, Stephanie M, Rocha, Mariana Perez, Petri, Laís, Ramey, Colette A, Record, Sydne, Rossi, Matthew W, SanClements, Michael, and Scholl, Victoria M

Subjects
Quality Education, community, continental-scale ecology, diversity, inclusion, National Ecological Observatory Network, open data, open science, Special Feature, Harnessing the Neon Data Revolution, Ecological Applications, Ecology, Zoology
Abstract

It is a critical time to reflect on the National Ecological Observatory Network (NEON) science to date as well as envision what research can be done right now with NEON (and other) data and what training is needed to enable a diverse user community. NEON became fully operational in May 2019 and has pivoted from planning and construction to operation and maintenance. In this overview, the history of and foundational thinking around NEON are discussed. A framework of open science is described with a discussion of how NEON can be situated as part of a larger data constellation—across existing networks and different suites of ecological measurements and sensors. Next, a synthesis of early NEON science, based on >100 existing publications, funded proposal efforts, and emergent science at the very first NEON Science Summit (hosted by Earth Lab at the University of Colorado Boulder in October 2019) is provided. Key questions that the ecology community will address with NEON data in the next 10 yr are outlined, from understanding drivers of biodiversity across spatial and temporal scales to defining complex feedback mechanisms in human–environmental systems. Last, the essential elements needed to engage and support a diverse and inclusive NEON user community are highlighted: training resources and tools that are openly available, funding for broad community engagement initiatives, and a mechanism to share and advertise those opportunities. NEON users require both the skills to work with NEON data and the ecological or environmental science domain knowledge to understand and interpret them. This paper synthesizes early directions in the community’s use of NEON data, and opportunities for the next 10 yr of NEON operations in emergent science themes, open science best practices, education and training, and community building.

Published
2021

8. Spatiotemporal prediction of wildfire size extremes with Bayesian finite sample maxima

Author

Joseph, Maxwell B, Rossi, Matthew W, Mietkiewicz, Nathan P, Mahood, Adam L, Cattau, Megan E, St. Denis, Lise Ann, Nagy, R Chelsea, Iglesias, Virginia, Abatzoglou, John T, and Balch, Jennifer K

Subjects
Bayes Theorem, Fires, Housing, Models, Statistical, United States, Wildfires, Bayesian, climate, extremes, fire, spatiotemporal, wildfire, Environmental Sciences, Biological Sciences, Agricultural and Veterinary Sciences, Ecology
Abstract

Wildfires are becoming more frequent in parts of the globe, but predicting where and when wildfires occur remains difficult. To predict wildfire extremes across the contiguous United States, we integrate a 30-yr wildfire record with meteorological and housing data in spatiotemporal Bayesian statistical models with spatially varying nonlinear effects. We compared different distributions for the number and sizes of large fires to generate a posterior predictive distribution based on finite sample maxima for extreme events (the largest fires over bounded spatiotemporal domains). A zero-inflated negative binomial model for fire counts and a lognormal model for burned areas provided the best performance. This model attains 99% interval coverage for the number of fires and 93% coverage for fire sizes over a six year withheld data set. Dryness and air temperature strongly predict extreme wildfire probabilities. Housing density has a hump-shaped relationship with fire occurrence, with more fires occurring at intermediate housing densities. Statistically, these drivers affect the chance of an extreme wildfire in two ways: by altering fire size distributions, and by altering fire frequency, which influences sampling from the tails of fire size distributions. We conclude that recent extremes should not be surprising, and that the contiguous United States may be on the verge of even larger wildfire extremes.

Published
2019

9. Propagating observation errors to enable scalable and rigorous enumeration of plant population abundance with aerial imagery.

Author

Zaiats, Andrii, Caughlin, T. Trevor, Cruz, Jennyffer, Pilliod, David S., Cattau, Megan E., Liu, Rongsong, Rachman, Richard, Maliha, Maisha, Delparte, Donna, and Clare, John D. J.

Subjects
FALSE positive error, PLANT populations, HABITATS, PLANT size, CLASSIFICATION algorithms
Abstract

Estimating and monitoring plant population size is fundamental for ecological research, as well as conservation and restoration programs. High‐resolution imagery has potential to facilitate such estimation and monitoring. However, remotely sensed estimates typically have higher uncertainty than field measurements, risking biased inference on population status.We present a model that accounts for false negative (missed plants) and false positive (misclassified or double‐counted plants) error in counts from high‐resolution imagery via integration with ground data. We apply it to estimate the abundance of a foundational shrub species in post‐wildfire landscapes in the western United States. In these landscapes, plant recruitment is crucial for ecological recovery but locally patchy, motivating the use of spatially extensive measurements from unoccupied aerial systems (UAS). Integrating >16 ha of UAS imagery with >700 georeferenced field plots, we fit our model to generate insights into the prevalence and drivers of observation errors associated with classification algorithms used to distinguish individual plants, relationships between abundance and landscape context, and to generate spatially explicit maps of shrub abundance.Raw counts of plant abundance in high‐resolution imagery resulted in substantial false negative and false positive observation errors. The probability of detecting (p) adult plants (≥0.25 m tall) varied between sites within 0.52 < p̂adult < 0.82, whereas the detection of smaller plants (<0.25 m) was lower, 0.03 < p̂small < 0.3. On average, we estimate that 19% of all detected plants were false positive errors, which varied spatially in relation to topographic predictors. Abundance declined toward the interior of previous wildfires and was positively associated with terrain roughness.Our study demonstrates that integrated models accounting for imperfect detection improve estimates of plant population abundance derived from inherently imperfect UAS imagery. We believe such models will further improve inference on plant population dynamics—relevant to restoration, wildlife habitat and related objectives—and echo previous calls for remote sensing applications to better differentiate between ecological and observational processes. [ABSTRACT FROM AUTHOR]

Published
2024
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11. Switching on the Big Burn of 2017

Author

Balch, Jennifer K, Schoennagel, Tania, Williams, A Park, Abatzoglou, John T, Cattau, Megan E, Mietkiewicz, Nathan P, and St. Denis, Lise A

Subjects
Climate Action, anthropogenic ignitions, climate change, convergent disturbances, coupled extremes, wildfires
Published
2018

12. How Long Do Restored Ecosystems Persist?1

Author

Reid, J Leighton, Wilson, Sarah J, Bloomfield, Gillian S, Cattau, Megan E, Fagan, Matthew E, Holl, Karen D, and Zahawi, Rakan A

Subjects
Life on Land, Ecological restoration, longevity, restoration success, survival analysis, tropical forest restoration, Evolutionary Biology, Plant Biology
Published
2017

14. Demography with drones: detecting growth and survival of shrubs with unoccupied aerial systems.

Author

Olsoy, Peter J., Zaiats, Andrii, Delparte, Donna M., Germino, Matthew J., Richardson, Bryce A., Roser, Anna V., Forbey, Jennifer S., Cattau, Megan E., and Caughlin, T. Trevor

Subjects
DEMOGRAPHY, PLANT growth, SHRUBS, SAGEBRUSH, PHOTOGRAMMETRY, ARTEMISIA
Abstract

Large‐scale disturbances, such as megafires, motivate restoration at equally large extents. Measuring the survival and growth of individual plants plays a key role in current efforts to monitor restoration success. However, the scale of modern restoration (e.g., >10,000 ha) challenges measurements of demographic rates with field data. In this study, we demonstrate how unoccupied aerial system (UAS) flights can provide an efficient solution to the tradeoff of precision and spatial extent in detecting demographic rates from the air. We flew two, sequential UAS flights at two sagebrush (Artemisia tridentata) common gardens to measure the survival and growth of individual plants. The accuracy of Bayesian‐optimized segmentation of individual shrub canopies was high (73–95%, depending on the year and site), and remotely sensed survival estimates were within 10% of ground‐truthed survival censuses. Stand age structure affected remotely sensed estimates of growth; growth was overestimated relative to field‐based estimates by 57% in the first garden with older stands, but agreement was high in the second garden with younger stands. Further, younger stands (similar to those just after disturbance) with shorter, smaller plants were sometimes confused with other shrub species and bunchgrasses, demonstrating a need for integrating spectral classification approaches that are increasingly available on affordable UAS platforms. The older stand had several merged canopies, which led to an underestimation of abundance but did not bias remotely sensed survival estimates. Advances in segmentation and UAS structure from motion photogrammetry will enable demographic rate measurements at management‐relevant extents. [ABSTRACT FROM AUTHOR]

Published
2024
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15. High‐resolution thermal imagery reveals how interactions between crown structure and genetics shape plant temperature.

Author

Olsoy, Peter J., Zaiats, Andrii, Delparte, Donna M., Germino, Matthew J., Richardson, Bryce A., Roop, Spencer, Roser, Anna V., Forbey, Jennifer S., Cattau, Megan E., Buerki, Sven, Reinhardt, Keith, and Caughlin, T. Trevor

Subjects
PLANT genetics, LEAF temperature, THERMAL stresses, PLANT indicators, KEYSTONE species, THERMAL properties
Abstract

Understanding interactions between environmental stress and genetic variation is crucial to predict the adaptive capacity of species to climate change. Leaf temperature is both a driver and a responsive indicator of plant physiological response to thermal stress, and methods to monitor it are needed. Foliar temperatures vary across leaf to canopy scales and are influenced by genetic factors, challenging efforts to map and model this critical variable. Thermal imagery collected using unoccupied aerial systems (UAS) offers an innovative way to measure thermal variation in plants across landscapes at leaf‐level resolutions. We used a UAS equipped with a thermal camera to assess temperature variation among genetically distinct populations of big sagebrush (Artemisia tridentata), a keystone plant species that is the focus of intensive restoration efforts throughout much of western North America. We completed flights across a growing season in a sagebrush common garden to map leaf temperature relative to subspecies and cytotype, physiological phenotypes of plants, and summer heat stress. Our objectives were to (1) determine whether leaf‐level stomatal conductance corresponds with changes in crown temperature; (2) quantify genetic (i.e., subspecies and cytotype) contributions to variation in leaf and crown temperatures; and (3) identify how crown structure, solar radiation, and subspecies‐cytotype relate to leaf‐level temperature. When considered across the whole season, stomatal conductance was negatively, non‐linearly correlated with crown‐level temperature derived from UAS. Subspecies identity best explained crown‐level temperature with no difference observed between cytotypes. However, structural phenotypes and microclimate best explained leaf‐level temperature. These results show how fine‐scale thermal mapping can decouple the contribution of genetic, phenotypic, and microclimate factors on leaf temperature dynamics. As climate‐change‐induced heat stress becomes prevalent, thermal UAS represents a promising way to track plant phenotypes that emerge from gene‐by‐environment interactions. [ABSTRACT FROM AUTHOR]

Published
2024
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16. High‐resolution thermal imagery reveals how interactions between crown structure and genetics shape plant temperature

Author

Olsoy, Peter J., primary, Zaiats, Andrii, additional, Delparte, Donna M., additional, Germino, Matthew J., additional, Richardson, Bryce A., additional, Roop, Spencer, additional, Roser, Anna V., additional, Forbey, Jennifer S., additional, Cattau, Megan E., additional, Buerki, Sven, additional, Reinhardt, Keith, additional, and Caughlin, T. Trevor, additional

Published
2023
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20. Modern Pyromes: Biogeographical Patterns of Fire Characteristics across the Contiguous United States.

Author

Cattau, Megan E., Mahood, Adam L., Balch, Jennifer K., and Wessman, Carol A.

Subjects
*FIRE management, *FIRE, *K-means clustering, *PUBLIC records, *FOREST fires, *HIERARCHICAL clustering (Cluster analysis), *CONUS, *ECOLOGICAL disturbances
Abstract

In recent decades, wildfires in many areas of the United States (U.S.) have become larger and more frequent with increasing anthropogenic pressure, including interactions between climate, land-use change, and human ignitions. We aimed to characterize the spatiotemporal patterns of contemporary fire characteristics across the contiguous United States (CONUS). We derived fire variables based on frequency, fire radiative power (FRP), event size, burned area, and season length from satellite-derived fire products and a government records database on a 50 km grid (1984–2020). We used k-means clustering to create a hierarchical classification scheme of areas with relatively homogeneous fire characteristics, or modern 'pyromes,' and report on the model with eight major pyromes. Human ignition pressure provides a key explanation for the East-West patterns of fire characteristics. Human-dominated pyromes (85% mean anthropogenic ignitions), with moderate fire size, area burned, and intensity, covered 59% of CONUS, primarily in the East and East Central. Physically dominated pyromes (47% mean anthropogenic ignitions) characterized by relatively large (average 439 mean annual ha per 50 km pixel) and intense (average 75 mean annual megawatts/pixel) fires occurred in 14% of CONUS, primarily in the West and West Central. The percent of anthropogenic ignitions increased over time in all pyromes (0.5–1.7% annually). Higher fire frequency was related to smaller events and lower FRP, and these relationships were moderated by vegetation, climate, and ignition type. Notably, a spatial mismatch between our derived modern pyromes and both ecoregions and historical fire regimes suggests other major drivers for modern U.S. fire patterns than vegetation-based classification systems. This effort to delineate modern U.S. pyromes based on fire observations provides a national-scale framework of contemporary fire regions and may help elucidate patterns of change in an uncertain future. [ABSTRACT FROM AUTHOR]

Published
2022
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21. Harnessing the NEON data revolution to advance open environmental science with a diverse and data‐capable community

Author

Nagy, R Chelsea; https://orcid.org/0000-0002-7168-3289, Balch, Jennifer K, Bissell, Erin K, Cattau, Megan E; https://orcid.org/0000-0003-2164-3809, Glenn, Nancy F; https://orcid.org/0000-0003-2124-7654, Halpern, Benjamin S, Ilangakoon, Nayani, Johnson, Brian, Joseph, Maxwell B; https://orcid.org/0000-0002-7745-9990, Marconi, Sergio; https://orcid.org/0000-0002-8096-754X, O’Riordan, Catherine, Sanovia, James, Swetnam, Tyson L, Travis, William R, Wasser, Leah A, Woolner, Elizabeth, Zarnetske, Phoebe, Abdulrahim, Mujahid, Adler, John, Barnes, Grenville, Bartowitz, Kristina J, Blake, Rachael E, Bombaci, Sara P, Brun, Julien, Buchanan, Jacob D, Chadwick, K Dana; https://orcid.org/0000-0002-5633-4865, Chapman, Melissa S, Chong, Steven S, Chung, Y Anny; https://orcid.org/0000-0001-5207-2872, Corman, Jessica R; https://orcid.org/0000-0002-2633-8080, Schweiger, Anna K; https://orcid.org/0000-0002-5567-4200, et al, Nagy, R Chelsea; https://orcid.org/0000-0002-7168-3289, Balch, Jennifer K, Bissell, Erin K, Cattau, Megan E; https://orcid.org/0000-0003-2164-3809, Glenn, Nancy F; https://orcid.org/0000-0003-2124-7654, Halpern, Benjamin S, Ilangakoon, Nayani, Johnson, Brian, Joseph, Maxwell B; https://orcid.org/0000-0002-7745-9990, Marconi, Sergio; https://orcid.org/0000-0002-8096-754X, O’Riordan, Catherine, Sanovia, James, Swetnam, Tyson L, Travis, William R, Wasser, Leah A, Woolner, Elizabeth, Zarnetske, Phoebe, Abdulrahim, Mujahid, Adler, John, Barnes, Grenville, Bartowitz, Kristina J, Blake, Rachael E, Bombaci, Sara P, Brun, Julien, Buchanan, Jacob D, Chadwick, K Dana; https://orcid.org/0000-0002-5633-4865, Chapman, Melissa S, Chong, Steven S, Chung, Y Anny; https://orcid.org/0000-0001-5207-2872, Corman, Jessica R; https://orcid.org/0000-0002-2633-8080, Schweiger, Anna K; https://orcid.org/0000-0002-5567-4200, and et al

Abstract

It is a critical time to reflect on the National Ecological Observatory Network (NEON) science to date as well as envision what research can be done right now with NEON (and other) data and what training is needed to enable a diverse user community. NEON became fully operational in May 2019 and has pivoted from planning and construction to operation and maintenance. In this overview, the history of and foundational thinking around NEON are discussed. A framework of open science is described with a discussion of how NEON can be situated as part of a larger data constellation — across existing networks and different suites of ecological measurements and sensors. Next, a synthesis of early NEON science, based on >100 existing publications, funded proposal efforts, and emergent science at the very first NEON Science Summit (hosted by Earth Lab at the University of Colorado Boulder in October 2019) is provided. Key questions that the ecology community will address with NEON data in the next 10 yr are outlined, from understanding drivers of biodiversity across spatial and temporal scales to defining complex feedback mechanisms in human–environmental systems. Last, the essential elements needed to engage and support a diverse and inclusive NEON user community are highlighted: training resources and tools that are openly available, funding for broad community engagement initiatives, and a mechanism to share and advertise those opportunities. NEON users require both the skills to work with NEON data and the ecological or environmental science domain knowledge to understand and interpret them. This paper synthesizes early directions in the community’s use of NEON data, and opportunities for the next 10 yr of NEON operations in emergent science themes, open science best practices, education and training, and community building.

Published
2021

25. Biophysical and anthropogenic contributions to fire disturbance dynamics on the peat-swamp landscape, Indonesia

Author

Cattau, Megan E.

Subjects
Environmental sciences, Environmental management, Peatland ecology, Ecology, FOS: Biological sciences, Fire management, Biophysics, Fires
Abstract

Fires have been increasing in size and frequency across the tropics in recent decades, particularly in tropical peatland areas. Indonesia has the largest amount of tropical peat carbon globally. Fires in fuel-rich tropical peatlands are a major source of carbon emissions, have serious consequences for human health, destroy or degrade habitat, and result in high economic costs. There have been many calls for a better understanding of the relative contributions of the biophysical and anthropogenic factors that drive fire, as this understanding would contribute to the success of efforts to reduce these fires. This dissertation uses remote sensing, fieldwork, and modeling to explore the dynamics of fire disturbance in Indonesia and investigates this disturbance from the framework of coupled human and natural systems, where complex interactions between the social and the biophysical are explicitly considered. Chapters One and Two assess both the influence of various human and biophysical factors to fire probability (Chapter One) and ignitions (Chapter Two) on a peat-swamp forest area in Central Kalimantan, Indonesia, equivalent to a third of Kalimantan's peatland area. A Bayesian modeling approach is used in Chapter One to estimate the effects of atmospheric dryness, human access, vegetation, and hydrology on the probability of fire occurrence. The potential for peatland restoration to offset the impacts of climate on fire occurrence is also explored. I find that climate is the most important factor driving fire occurrence, which is consistent with the findings in many other parts of the tropics. However, two human-driven factors are almost as significant as the influence of climate: drainage canals, which were put in place as part of a failed agricultural project and have lowered the water table; and woody vegetation, which has decreased over time. Chapter Two inspects the oft-asserted claim that escaped fires from oil palm concessions and smallholder farms near settlements are the primary sources of fire ignitions. We evaluate fire origin and spread, and find that most fires originate in non-forest, compared to oil palm concessions, and relatively few originate close to settlements. Moreover, most fires started within oil palm concessions and in close proximity to settlements stay within those boundaries. However, fire ignition density in oil palm concessions and close to settlements is high. Furthermore, increased anthropogenic activity in close proximity to oil palm concessions and settlements produces a detectable pattern of fire activity. These results refute the claim that most fires originate in oil palm concessions, and that fires escaping from oil palm concessions and settlements constitute a major proportion of fires in this study region. However, there is a potential for these land use types to contribute more substantially to the fire landscape if their area expands. Chapter Three examines the potential for the financial incentive mechanism of Roundtable on Sustainable Palm Oil (RSPO) certification, which prohibits the use of fire on certified concessions, to reduce fire activity on oil palm concessions. We examine if RSPO-certified concessions have reduced fire activity in Sumatra and Kalimantan, the leading producers of oil palm both within Indonesia and globally. We also evaluate if this pattern changes with increasing likelihood of fires. These questions are particularly critical in fuel-rich peatland areas, of which approximately 46% was designated as oil palm concession as of 2010. We find that fire activity is significantly lower on RSPO certified concessions than non-RSPO certified concessions when the likelihood of fire is low (i.e., on non-peatlands in wetter years), but not when the likelihood of fire is high (i.e., on non-peatlands in dry years or on peatlands). These chapters advance our understanding of how anthropogenic factors influence the controls of fire in Kalimantan and Sumatra, both directly (i.e., human-caused ignitions) and indirectly (i.e., changing the susceptibility of the landscape to ignitions and to burning). The findings presented in this dissertation indicate that oil palm concessions are associated with high fire probability (Chapter One) and a substantial amount of ignitions and relatively high ignition density (Chapter Two). One of the more pointed ways to target fire on oil palm concessions is through RSPO certification; however, we find that certification is only effective when fire likelihood is already low, suggesting that, in order for this mechanism to reduce fire, more assistance may be needed to control fires in dry years and on peatlands (Chapter Three). Non-forested, degraded areas contribute much more to fire activity than oil palm on this landscape; these areas experience the greatest number of ignitions, have highest ignition density, and are the primary source of forest fires (Chapter Two). Furthermore, the declines in vegetation and the hydrological alteration in these degraded areas contribute substantially to fire occurrence (Chapter One). Effective fire management in this area, including fire prevention and suppression efforts, should therefore target not just oil palm concessions and smallholdings around settlements, but should also focus strongly on non-forested, degraded areas – and in particular those near oil palm concession boundaries and outside the immediate vicinity of settlements – where fire probability is high and where ignitions and fires escaping into forest are most likely to occur. Rehabilitation of the degraded landscape through restoring hydrology and replanting will be key to fire reduction, and can offset the effects of climate on fire in this landscape. The methodological approaches in this dissertation demonstrate ways in which remote sensing and analytical technologies can be used to answer complex questions about coupled human and natural systems that fuse social and environmental data, for both theoretical and management applications. Chapter One uses biophysical information from remotely sensed products and fieldwork with information about human access on the landscape and integrates them together with Moderate Resolution Imaging Spectroradiometer (MODIS) Active Fire detections under a Bayesian framework. Chapters Two and Three use a novel technique to cluster remotely sensed data on fire occurrence (MODIS Active Fire detections) into fire events so that ignitions can be isolated. This technique allows us to answer questions related to fire origin, spread, and impact that cannot be investigated by evaluating fire detections alone. This dissertation addresses a gap in knowledge regarding the anthropogenic contributions to increased fire probability and to ignitions in peat swamp, and the approaches could be applied to other degraded peatland areas in Indonesia that are candidate sites for restoration (e.g., under the newly established Peatland Restoration Agency), and to degraded peatlands that experience a novel fire regime in other parts of the tropics. Furthermore, this dissertation evaluates the capacity for RSPO certification to reduce fire activity on oil palm concessions across Sumatra and Kalimantan, Indonesia, and the analyses conducted could be applied to landscapes in other parts of the tropics experiencing oil palm development. In conclusion, the research findings presented in this dissertation are a product of combining social and environmental data and evaluating this data with a suite of classic and novel modeling approaches. This dissertation is presented in the hope that it contributes to our understanding of fire dynamics in the globally important peat-swamp forest, Indonesia, and thus our capacity to manage these disturbances.

Published
2016
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26. Denial of long-term issues with agriculture on tropical peatlands will have devastating consequences

Author

Wijedasa, Lahiru S., Jauhiainen, Jyrki, Önönen, Mari K., Lampela, Maija, Vasander, Harri, LeBlanc, Marie-Claire, Evers, Stephanie, Smith, Thomas E.L., Yule, Catherine M., Varkkey, Helena, Lupascu, Massimo, Parish, Faizal, Singleton, Ian, Clements, Gopalasamy R., Aziz, Sheema Abdul, Harrison, Mark E., Cheyne, Susan, Anshari, Gusti Z., Meijaard, Erik, Goldstein, Jenny E., Waldron, Susan, Hergoualc'h, Kristell, Dommain, Rene, Frolking, Steve, Evans, Christopher D., Posa, Mary Rose C., Glaser, Paul H., Suryadiputra, Nyoman, Lubis, Reza, Santika, Truly, Padfield, Rory, Kurnianto, Sofyan, Hadisiswoyo, Panut, Lim, Teck Wyn, Page, Susan E., Gauci, Vincent, van der Meer, Peter J., Buckland, Helen, Garnier, Fabien, Samuel, Marshall K., Choo, Liza Nuriati Lim Kim, O'Reilly, Patrick, Warren, Matthew, Suksuwan, Surin, Sumarga, Elham, Jain, Anuj, Laurance, William F., Couwenberg, John, Joosten, Hans, Vernimmen, Ronald, Hooijer, Aljosja, Malins, Chris, Cochrane, Mark A., Perumal, Balu, Siegert, Florian, Peh, Kelvin S.-H., Comeau, Louis-Pierre, Verchot, Louis, Harvey, Charles F., Cobb, Alex, Jaafar, Zeehan, Wösten, Henk, Manuri, Solichin, Müller, Moritz, Giesen, Wim, Phelps, Jacob, Yong, Ding Li, Silvius, Marcel, Wedeux, Béatrice M.M., Hoyt, Alison, Osaki, Mitsuru, Takashi, Hirano, Takahashi, Hidenori, Kohyama, Takashi S., Haraguchi, Akira, Nugroho, Nunung P., Coomes, David A., Quoi, Le Phat, Dohong, Alue, Gunawan, Haris, Gaveau, David L.A., Langner, Andreas, Lim, Felix K.S., Edwards, David P., Giam, Xingli, van der Werf, Guido, Carmenta, Rachel, Verwer, Caspar C., Gibson, Luke, Grandois, Laure, Graham, Laura Linda Bozena, Regalino, Jhanson, Wich, Serge A., Rieley, Jack, Kettridge, Nicholas, Brown, Chloe, Pirard, Romain, Moore, Sam, Capilla, B. Ripoll, Ballhorn, Uwe, Ho, Hua Chew, Hoscilo, Agata, Lohberger, Sandra, Evans, Theodore A., Yulianti, Nina, Blackham, Grace, Onrizal, Husson, Simon, Murdiyarso, Daniel, Pangala, Sunita, Cole, Lydia E.S., Tacconi, Luca, Segah, Hendrik, Tonoto, Prayoto, Lee, Janice S.H., Schmilewski, Gerald, Wulffraat, Stephan, Putra, Erianto Indra, Cattau, Megan E., Clymo, R.S., Morrison, Ross, Mujahid, Aazani, Miettinen, Jukka, Liew, Soo Chin, Valpola, Samu, Wilson, David, D'Arcy, Laura, Gerding, Michiel, Sundari, Siti, Thornton, Sara A., Kalisz, Barbara, Chapman, Stephen J., Su, Ahmad Suhaizi Mat, Basuki, Imam, Itoh, Masayuki, Traeholt, Carl, Sloan, Sean, Sayok, Alexander K., Andersen, Roxane, Wijedasa, Lahiru S., Jauhiainen, Jyrki, Önönen, Mari K., Lampela, Maija, Vasander, Harri, LeBlanc, Marie-Claire, Evers, Stephanie, Smith, Thomas E.L., Yule, Catherine M., Varkkey, Helena, Lupascu, Massimo, Parish, Faizal, Singleton, Ian, Clements, Gopalasamy R., Aziz, Sheema Abdul, Harrison, Mark E., Cheyne, Susan, Anshari, Gusti Z., Meijaard, Erik, Goldstein, Jenny E., Waldron, Susan, Hergoualc'h, Kristell, Dommain, Rene, Frolking, Steve, Evans, Christopher D., Posa, Mary Rose C., Glaser, Paul H., Suryadiputra, Nyoman, Lubis, Reza, Santika, Truly, Padfield, Rory, Kurnianto, Sofyan, Hadisiswoyo, Panut, Lim, Teck Wyn, Page, Susan E., Gauci, Vincent, van der Meer, Peter J., Buckland, Helen, Garnier, Fabien, Samuel, Marshall K., Choo, Liza Nuriati Lim Kim, O'Reilly, Patrick, Warren, Matthew, Suksuwan, Surin, Sumarga, Elham, Jain, Anuj, Laurance, William F., Couwenberg, John, Joosten, Hans, Vernimmen, Ronald, Hooijer, Aljosja, Malins, Chris, Cochrane, Mark A., Perumal, Balu, Siegert, Florian, Peh, Kelvin S.-H., Comeau, Louis-Pierre, Verchot, Louis, Harvey, Charles F., Cobb, Alex, Jaafar, Zeehan, Wösten, Henk, Manuri, Solichin, Müller, Moritz, Giesen, Wim, Phelps, Jacob, Yong, Ding Li, Silvius, Marcel, Wedeux, Béatrice M.M., Hoyt, Alison, Osaki, Mitsuru, Takashi, Hirano, Takahashi, Hidenori, Kohyama, Takashi S., Haraguchi, Akira, Nugroho, Nunung P., Coomes, David A., Quoi, Le Phat, Dohong, Alue, Gunawan, Haris, Gaveau, David L.A., Langner, Andreas, Lim, Felix K.S., Edwards, David P., Giam, Xingli, van der Werf, Guido, Carmenta, Rachel, Verwer, Caspar C., Gibson, Luke, Grandois, Laure, Graham, Laura Linda Bozena, Regalino, Jhanson, Wich, Serge A., Rieley, Jack, Kettridge, Nicholas, Brown, Chloe, Pirard, Romain, Moore, Sam, Capilla, B. Ripoll, Ballhorn, Uwe, Ho, Hua Chew, Hoscilo, Agata, Lohberger, Sandra, Evans, Theodore A., Yulianti, Nina, Blackham, Grace, Onrizal, Husson, Simon, Murdiyarso, Daniel, Pangala, Sunita, Cole, Lydia E.S., Tacconi, Luca, Segah, Hendrik, Tonoto, Prayoto, Lee, Janice S.H., Schmilewski, Gerald, Wulffraat, Stephan, Putra, Erianto Indra, Cattau, Megan E., Clymo, R.S., Morrison, Ross, Mujahid, Aazani, Miettinen, Jukka, Liew, Soo Chin, Valpola, Samu, Wilson, David, D'Arcy, Laura, Gerding, Michiel, Sundari, Siti, Thornton, Sara A., Kalisz, Barbara, Chapman, Stephen J., Su, Ahmad Suhaizi Mat, Basuki, Imam, Itoh, Masayuki, Traeholt, Carl, Sloan, Sean, Sayok, Alexander K., and Andersen, Roxane

Abstract

Letter to the Editor.

Published
2017

27. Denial of long-term issues with agriculture on tropical peatlands will have devastating consequences

Author

Singapore-MIT Alliance in Research and Technology (SMART), Parsons Laboratory for Environmental Science and Engineering (Massachusetts Institute of Technology), Harvey, Charles F, Hoyt, Alison May, Cobb, Alexander R., Wijedasa, Lahiru S., Jauhiainen, Jyrki, Könönen, Mari, Lampela, Maija, Vasander, Harri, Leblanc, Marie-Claire, Evers, Stephanie, Smith, E. L. Thomas, Yule, Catherine M., Varkkey, Helena, Lupascu, Massimo, Parish, Faizal, Singleton, Ian, Clements, Gopalasamy R., Aziz, Sheema Abdul, Harrison, Mark E., Cheyne, Susan, Anshari, Gusti Z., Meijaard, Erik, Goldstein, Jenny E., Waldron, Susan, Hergoualc'h, Kristell, Dommain, Rene, Frolking, Steve, Evans, Christopher D., Posa, Mary Rose C., Glaser, Paul H., Suryadiputra, Nyoman, Lubis, Reza, Santika, Truly, Padfield, Rory, Kurnianto, Sofyan, Hadisiswoyo, Panut, Lim, Teck Wyn, Page, Susan E., Gauci, Vincent, Van Der Meer, Peter J., Buckland, Helen, Garnier, Fabien, Samuel, Marshall K., Choo, Liza Nuriati Lim Kim, O'Reilly, Patrick, Warren, Matthew, Suksuwan, Surin, Sumarga, Elham, Jain, Anuj, Laurance, William F., Couwenberg, John, Joosten, Hans, Vernimmen, Ronald, Hooijer, Aljosja, Malins, Chris, Cochrane, Mark A., Perumal, Balu, Siegert, Florian, Peh, Kelvin S.-H., Comeau, Louis-Pierre, Verchot, Louis, Jaafar, Zeehan, Wösten, Henk, Manuri, Solichin, Müller, Moritz, Giesen, Wim, Phelps, Jacob, Yong, Ding Li, Silvius, Marcel, Wedeux, Béatrice M. M., Osaki, Mitsuru, Hirano, Takashi, Takahashi, Hidenori, Kohyama, Takashi S., Haraguchi, Akira, Nugroho, Nunung P., Coomes, David A., Quoi, Le Phat, Dohong, Alue, Gunawan, Haris, Gaveau, David L. A., Langner, Andreas, Lim, Felix K. S., Edwards, David P., Giam, Xingli, Van Der Werf, Guido, Carmenta, Rachel, Verwer, Caspar C., Gibson, Luke, Gandois, Laure, Graham, Laura Linda Bozena, Regalino, Jhanson, Wich, Serge A., Rieley, Jack, Kettridge, Nicholas, Brown, Chloe, Pirard, Romain, Capilla, B. Ripoll, Ballhorn, Uwe, Ho, Hua Chew, Hoscilo, Agata, Lohberger, Sandra, Evans, Theodore A., Yulianti, Nina, Blackham, Grace, Onrizal, Grace, Husson, Simon, Murdiyarso, Daniel, Pangala, Sunita, Cole, Lydia E. S., Tacconi, Luca, Segah, Hendrik, Tonoto, Prayoto, Lee, Janice S. H., Schmilewski, Gerald, Wulffraat, Stephan, Putra, Erianto Indra, Cattau, Megan E., Clymo, R. S., Morrison, Ross, Mujahid, Aazani, Miettinen, Jukka, Liew, Soo Chin, Valpola, Samu, Wilson, David, D'Arcy, Laura, Gerding, Michiel, Sundari, Siti, Thornton, Sara A., Kalisz, Barbara, Chapman, Stephen J., Su, Ahmad Suhaizi Mat, Basuki, Imam, Itoh, Masayuki, Traeholt, Carl, Sloan, Sean, Sayok, Alexander K., Andersen, Roxane, Moore, Sam, S.B. Massachusetts Institute of Technology, Singapore-MIT Alliance in Research and Technology (SMART), Parsons Laboratory for Environmental Science and Engineering (Massachusetts Institute of Technology), Harvey, Charles F, Hoyt, Alison May, Cobb, Alexander R., Wijedasa, Lahiru S., Jauhiainen, Jyrki, Könönen, Mari, Lampela, Maija, Vasander, Harri, Leblanc, Marie-Claire, Evers, Stephanie, Smith, E. L. Thomas, Yule, Catherine M., Varkkey, Helena, Lupascu, Massimo, Parish, Faizal, Singleton, Ian, Clements, Gopalasamy R., Aziz, Sheema Abdul, Harrison, Mark E., Cheyne, Susan, Anshari, Gusti Z., Meijaard, Erik, Goldstein, Jenny E., Waldron, Susan, Hergoualc'h, Kristell, Dommain, Rene, Frolking, Steve, Evans, Christopher D., Posa, Mary Rose C., Glaser, Paul H., Suryadiputra, Nyoman, Lubis, Reza, Santika, Truly, Padfield, Rory, Kurnianto, Sofyan, Hadisiswoyo, Panut, Lim, Teck Wyn, Page, Susan E., Gauci, Vincent, Van Der Meer, Peter J., Buckland, Helen, Garnier, Fabien, Samuel, Marshall K., Choo, Liza Nuriati Lim Kim, O'Reilly, Patrick, Warren, Matthew, Suksuwan, Surin, Sumarga, Elham, Jain, Anuj, Laurance, William F., Couwenberg, John, Joosten, Hans, Vernimmen, Ronald, Hooijer, Aljosja, Malins, Chris, Cochrane, Mark A., Perumal, Balu, Siegert, Florian, Peh, Kelvin S.-H., Comeau, Louis-Pierre, Verchot, Louis, Jaafar, Zeehan, Wösten, Henk, Manuri, Solichin, Müller, Moritz, Giesen, Wim, Phelps, Jacob, Yong, Ding Li, Silvius, Marcel, Wedeux, Béatrice M. M., Osaki, Mitsuru, Hirano, Takashi, Takahashi, Hidenori, Kohyama, Takashi S., Haraguchi, Akira, Nugroho, Nunung P., Coomes, David A., Quoi, Le Phat, Dohong, Alue, Gunawan, Haris, Gaveau, David L. A., Langner, Andreas, Lim, Felix K. S., Edwards, David P., Giam, Xingli, Van Der Werf, Guido, Carmenta, Rachel, Verwer, Caspar C., Gibson, Luke, Gandois, Laure, Graham, Laura Linda Bozena, Regalino, Jhanson, Wich, Serge A., Rieley, Jack, Kettridge, Nicholas, Brown, Chloe, Pirard, Romain, Capilla, B. Ripoll, Ballhorn, Uwe, Ho, Hua Chew, Hoscilo, Agata, Lohberger, Sandra, Evans, Theodore A., Yulianti, Nina, Blackham, Grace, Onrizal, Grace, Husson, Simon, Murdiyarso, Daniel, Pangala, Sunita, Cole, Lydia E. S., Tacconi, Luca, Segah, Hendrik, Tonoto, Prayoto, Lee, Janice S. H., Schmilewski, Gerald, Wulffraat, Stephan, Putra, Erianto Indra, Cattau, Megan E., Clymo, R. S., Morrison, Ross, Mujahid, Aazani, Miettinen, Jukka, Liew, Soo Chin, Valpola, Samu, Wilson, David, D'Arcy, Laura, Gerding, Michiel, Sundari, Siti, Thornton, Sara A., Kalisz, Barbara, Chapman, Stephen J., Su, Ahmad Suhaizi Mat, Basuki, Imam, Itoh, Masayuki, Traeholt, Carl, Sloan, Sean, Sayok, Alexander K., Andersen, Roxane, and Moore, Sam, S.B. Massachusetts Institute of Technology

Published
2017

31. Population status of the Bornean orang-utan Pongo pygmaeus in a vanishing forest in Indonesia: the former Mega Rice Project.

Author

Cattau, Megan E., Husson, Simon, and Cheyne, Susan M.

Subjects
*BORNEAN orangutan, *REMOTE-sensing images, *ANIMAL population density, *ORANGUTAN genetics, *REFORESTATION
Abstract

As peat-swamp forests in Borneo become progressively more fragmented, the species that inhabit them are increasingly threatened, notably the Endangered Bornean orang-utan Pongo pygmaeus. The area of a failed agricultural project known as the Mega Rice Project in Central Kalimantan, Indonesia, is composed of fragments of peat-swamp forest that are reported to contain orang-utans, although no comprehensive survey has previously been conducted. In a portion of this area we identified remaining forest fragments, using satellite imagery, and surveyed line transects for orang-utan sleeping nests to determine the density, abundance and distribution of the species. The total area of peat-swamp forest in the study area is 76,755 ha, 59,948 ha of which comprises patches at least as large as the home range of a female orang-utan (250 ha). We estimate a mean population density of 2.48 ± SE 0.32 individuals km−2 and a population of 1,700 ± SE 220 or 1,507 ± SE 195 individuals, based on a 25 and 250 ha minimum patch size threshold, respectively. This is c. 40–45% of the original population, and the fragmented population is unlikely to be viable in terms of long-term demographic and genetic stability. To ensure persistence of this population of orang-utans, direct conservation action to connect forest fragments and prevent further loss of peat-swamp forest will be required, including re-establishing the hydrological regime, reforesting barren areas and fighting fires. [ABSTRACT FROM PUBLISHER]

Published
2015
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32. Integrating National Ecological Observatory Network (NEON) Airborne Remote Sensing and In-Situ Data for Optimal Tree Species Classification.

Author

Scholl, Victoria M., Cattau, Megan E., Joseph, Maxwell B., and Balch, Jennifer K.

Subjects
*REMOTE sensing, *LIDAR, *REGRESSION trees, *NEON, *FOREST mapping, *MOUNTAIN ecology
Abstract

Accurately mapping tree species composition and diversity is a critical step towards spatially explicit and species-specific ecological understanding. The National Ecological Observatory Network (NEON) is a valuable source of open ecological data across the United States. Freely available NEON data include in-situ measurements of individual trees, including stem locations, species, and crown diameter, along with the NEON Airborne Observation Platform (AOP) airborne remote sensing imagery, including hyperspectral, multispectral, and light detection and ranging (LiDAR) data products. An important aspect of predicting species using remote sensing data is creating high-quality training sets for optimal classification purposes. Ultimately, manually creating training data is an expensive and time-consuming task that relies on human analyst decisions and may require external data sets or information. We combine in-situ and airborne remote sensing NEON data to evaluate the impact of automated training set preparation and a novel data preprocessing workflow on classifying the four dominant subalpine coniferous tree species at the Niwot Ridge Mountain Research Station forested NEON site in Colorado, USA. We trained pixel-based Random Forest (RF) machine learning models using a series of training data sets along with remote sensing raster data as descriptive features. The highest classification accuracies, 69% and 60% based on internal RF error assessment and an independent validation set, respectively, were obtained using circular tree crown polygons created with half the maximum crown diameter per tree. LiDAR-derived data products were the most important features for species classification, followed by vegetation indices. This work contributes to the open development of well-labeled training data sets for forest composition mapping using openly available NEON data without requiring external data collection, manual delineation steps, or site-specific parameters. [ABSTRACT FROM AUTHOR]

Published
2020
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33. Denial of long-term issues with agriculture on tropical peatlands will have devastating consequences

Author

Wijedasa, Lahiru S, Jauhiainen, Jyrki, Könönen, Mari, Lampela, Maija, Vasander, Harri, Leblanc, Marie-Claire, Evers, Stephanie, Smith, Thomas EL, Yule, Catherine M, Varkkey, Helena, Lupascu, Massimo, Parish, Faizal, Singleton, Ian, Clements, Gopalasamy R, Aziz, Sheema Abdul, Harrison, Mark E, Cheyne, Susan, Anshari, Gusti Z, Meijaard, Erik, Goldstein, Jenny E, Waldron, Susan, Hergoualc'h, Kristell, Dommain, Rene, Frolking, Steve, Evans, Christopher D, Posa, Mary Rose C, Glaser, Paul H, Suryadiputra, Nyoman, Lubis, Reza, Santika, Truly, Padfield, Rory, Kurnianto, Sofyan, Hadisiswoyo, Panut, Lim, Teck Wyn, Page, Susan E, Gauci, Vincent, Van Der Meer, Peter J, Buckland, Helen, Garnier, Fabien, Samuel, Marshall K, Choo, Liza Nuriati Lim Kim, O'Reilly, Patrick, Warren, Matthew, Suksuwan, Surin, Sumarga, Elham, Jain, Anuj, Laurance, William F, Couwenberg, John, Joosten, Hans, Vernimmen, Ronald, Hooijer, Aljosja, Malins, Chris, Cochrane, Mark A, Perumal, Balu, Siegert, Florian, Peh, Kelvin S-H, Comeau, Louis-Pierre, Verchot, Louis, Harvey, Charles F, Cobb, Alex, Jaafar, Zeehan, Wösten, Henk, Manuri, Solichin, Müller, Moritz, Giesen, Wim, Phelps, Jacob, Yong, Ding Li, Silvius, Marcel, Wedeux, Béatrice MM, Hoyt, Alison, Osaki, Mitsuru, Hirano, Takashi, Takahashi, Hidenori, Kohyama, Takashi S, Haraguchi, Akira, Nugroho, Nunung P, Coomes, David A, Quoi, Le Phat, Dohong, Alue, Gunawan, Haris, Gaveau, David LA, Langner, Andreas, Lim, Felix KS, Edwards, David P, Giam, Xingli, Van Der Werf, Guido, Carmenta, Rachel, Verwer, Caspar C, Gibson, Luke, Gandois, Laure, Graham, Laura Linda Bozena, Regalino, Jhanson, Wich, Serge A, Rieley, Jack, Kettridge, Nicholas, Brown, Chloe, Pirard, Romain, Moore, Sam, Capilla, B Ripoll, Ballhorn, Uwe, Ho, Hua Chew, Hoscilo, Agata, Lohberger, Sandra, Evans, Theodore A, Yulianti, Nina, Blackham, Grace, Onrizal, Husson, Simon, Murdiyarso, Daniel, Pangala, Sunita, Cole, Lydia ES, Tacconi, Luca, Segah, Hendrik, Tonoto, Prayoto, Lee, Janice SH, Schmilewski, Gerald, Wulffraat, Stephan, Putra, Erianto Indra, Cattau, Megan E, Clymo, RS, Morrison, Ross, Mujahid, Aazani, Miettinen, Jukka, Liew, Soo Chin, Valpola, Samu, Wilson, David, D'Arcy, Laura, Gerding, Michiel, Sundari, Siti, Thornton, Sara A, Kalisz, Barbara, Chapman, Stephen J, Su, Ahmad Suhaizi Mat, Basuki, Imam, Itoh, Masayuki, Traeholt, Carl, Sloan, Sean, Sayok, Alexander K, and Andersen, Roxane

Subjects
13. Climate action, tropical peatlands, Acacia, emissions, 15. Life on land, sustainability, oil palm, agriculture, subsidence
Abstract

The first International Peat Congress (IPC) held in the tropics - in Kuching (Malaysia) - brought together over 1000 international peatland scientists and industrial partners from across the world ("International Peat Congress with over 1000 participants!," 2016). The congress covered all aspects of peatland ecosystems and their management, with a strong focus on the environmental, societal and economic challenges associated with contemporary large-scale agricultural conversion of tropical peat.

34. Denial of long-term issues with agriculture on tropical peatlands will have devastating consequences

Author

Wijedasa, Lahiru S., Jauhiainen, Jyrki, Könönen, Mari, Lampela, Maija, Vasander, Harri, LeBlanc, Marie-Claire, Evers, Stephanie, Smith, Thomas E.L., Yule, Catherine M., Varkkey, Helena, Lupascu, Massimo, Parish, Faizal, Singleton, Ian, Clements, Gopalasamy R., Aziz, Sheema Abdul, Harrison, Mark E., Cheyne, Susan, Anshari, Gusti Z., Meijaard, Erik, Goldstein, Jenny E., Waldron, Susan, Hergoualc'h, Kristell, Dommain, René, Frolking, Steve, Evans, Christopher D., Posa, Mary Rose C., Glaser, Paul H., Suryadiputra, Nyoman, Lubis, Reza, Santika, Truly, Padfield, Rory, Kurnianto, Sofyan, Hadisiswoyo, Panut, Lim, Teck Wyn, Page, Susan E., Gauci, Vincent, van der Meer, Peter J, Buckland, Helen, Garnier, Fabien, Samuel, Marshall K., Choo, Liza Nuriati Lim Kim, O'Reilly, Patrick, Warren, Matthew, Suksuwan, Surin, Sumarga, Elham, Jain, Anuj, Laurance, William F., Couwenberg, John, Joosten, Hans, Vernimmen, Ronald, Hooijer, Aljosja, Malins, Chris, Cochrane, Mark A., Perumal, Balu, Siegert, Florian, Peh, Kelvin S.-H., Comeau, Louis-Pierre, Verchot, Louis, Harvey, Charles F., Cobb, Alex, Jaafar, Zeehan, Wösten, Henk, Manuri, Solichin, Müller, Moritz, Giesen, Wim, Phelps, Jacob, Yong, Ding Li, Silvius, Marcel, Wedeux, Béatrice M. M., Hoyt, Alison, Osaki, Mitsuru, Takashi, Hirano, Takahashi, Hidenori, Kohyama, Takashi S., Haraguchi, Akira, Nugroho, Nunung P., Coomes, David A., Quoi, Le Phat, Dohong, Alue, Gunawan, Haris, Gaveau, David L.A., Langner, Andreas, Lim, Felix K. S., Edwards, David P., Giam, Xingli, van der Werf, Guido, Carmenta, Rachel, Verwer, Caspar C., Gibson, Luke, Grandois, Laure, Graham, Laura Linda Bozena, Regalino, Jhanson, Wich, Serge A., Rieley, Jack, Kettridge, Nicholas, Brown, Chloe, Pirard, Romain, Moore, Sam, Ripoll Capilla, B., Ballhorn, Uwe, Ho, Hua Chew, Hoscilo, Agata, Lohberger, Sandra, Evans, Theodore A., Yulianti, Nina, Blackham, Grace, Onrizal, Husson, Simon, Murdiyarso, Daniel, Pangala, Sunita, Cole, Lydia E.S., Tacconi, Luca, Segah, Hendrik, Tonoto, Prayoto, Lee, Janice S.H., Schmilewski, Gerald, Wulffraat, Stephan, Putra, Erianto Indra, Cattau, Megan E., Clymo, R.S., Morrison, Ross, Mujahid, Aazani, Miettinen, Jukka, Liew, Soo Chin, Valpola, Samu, Wilson, David, D'Arcy, Laura, Gerding, Michiel, Sundari, Siti, Thornton, Sara A., Kalisz, Barbara, Chapman, Stephen J., Su, Ahmad Suhaizi Mat, Basuki, Imam, Itoh, Masayuki, Traeholt, Carl, Sloan, Sean, Sayok, Alexander K., Andersen, Roxane, Wijedasa, Lahiru S., Jauhiainen, Jyrki, Könönen, Mari, Lampela, Maija, Vasander, Harri, LeBlanc, Marie-Claire, Evers, Stephanie, Smith, Thomas E.L., Yule, Catherine M., Varkkey, Helena, Lupascu, Massimo, Parish, Faizal, Singleton, Ian, Clements, Gopalasamy R., Aziz, Sheema Abdul, Harrison, Mark E., Cheyne, Susan, Anshari, Gusti Z., Meijaard, Erik, Goldstein, Jenny E., Waldron, Susan, Hergoualc'h, Kristell, Dommain, René, Frolking, Steve, Evans, Christopher D., Posa, Mary Rose C., Glaser, Paul H., Suryadiputra, Nyoman, Lubis, Reza, Santika, Truly, Padfield, Rory, Kurnianto, Sofyan, Hadisiswoyo, Panut, Lim, Teck Wyn, Page, Susan E., Gauci, Vincent, van der Meer, Peter J, Buckland, Helen, Garnier, Fabien, Samuel, Marshall K., Choo, Liza Nuriati Lim Kim, O'Reilly, Patrick, Warren, Matthew, Suksuwan, Surin, Sumarga, Elham, Jain, Anuj, Laurance, William F., Couwenberg, John, Joosten, Hans, Vernimmen, Ronald, Hooijer, Aljosja, Malins, Chris, Cochrane, Mark A., Perumal, Balu, Siegert, Florian, Peh, Kelvin S.-H., Comeau, Louis-Pierre, Verchot, Louis, Harvey, Charles F., Cobb, Alex, Jaafar, Zeehan, Wösten, Henk, Manuri, Solichin, Müller, Moritz, Giesen, Wim, Phelps, Jacob, Yong, Ding Li, Silvius, Marcel, Wedeux, Béatrice M. M., Hoyt, Alison, Osaki, Mitsuru, Takashi, Hirano, Takahashi, Hidenori, Kohyama, Takashi S., Haraguchi, Akira, Nugroho, Nunung P., Coomes, David A., Quoi, Le Phat, Dohong, Alue, Gunawan, Haris, Gaveau, David L.A., Langner, Andreas, Lim, Felix K. S., Edwards, David P., Giam, Xingli, van der Werf, Guido, Carmenta, Rachel, Verwer, Caspar C., Gibson, Luke, Grandois, Laure, Graham, Laura Linda Bozena, Regalino, Jhanson, Wich, Serge A., Rieley, Jack, Kettridge, Nicholas, Brown, Chloe, Pirard, Romain, Moore, Sam, Ripoll Capilla, B., Ballhorn, Uwe, Ho, Hua Chew, Hoscilo, Agata, Lohberger, Sandra, Evans, Theodore A., Yulianti, Nina, Blackham, Grace, Onrizal, Husson, Simon, Murdiyarso, Daniel, Pangala, Sunita, Cole, Lydia E.S., Tacconi, Luca, Segah, Hendrik, Tonoto, Prayoto, Lee, Janice S.H., Schmilewski, Gerald, Wulffraat, Stephan, Putra, Erianto Indra, Cattau, Megan E., Clymo, R.S., Morrison, Ross, Mujahid, Aazani, Miettinen, Jukka, Liew, Soo Chin, Valpola, Samu, Wilson, David, D'Arcy, Laura, Gerding, Michiel, Sundari, Siti, Thornton, Sara A., Kalisz, Barbara, Chapman, Stephen J., Su, Ahmad Suhaizi Mat, Basuki, Imam, Itoh, Masayuki, Traeholt, Carl, Sloan, Sean, Sayok, Alexander K., and Andersen, Roxane

Abstract

The first International Peat Congress (IPC) held in the tropics - in Kuching (Malaysia) - brought together over 1000 international peatland scientists and industrial partners from across the world (“International Peat Congress with over 1000 participants!,” 2016). The congress covered all aspects of peatland ecosystems and their management, with a strong focus on the environmental, societal and economic challenges associated with contemporary large-scale agricultural conversion of tropical peat.

35. Denial of long-term issues with agriculture on tropical peatlands will have devastating consequences

Author

Wijedasa, Lahiru S., Jauhiainen, Jyrki, Könönen, Mari, Lampela, Maija, Vasander, Harri, LeBlanc, Marie-Claire, Evers, Stephanie, Smith, Thomas E.L., Yule, Catherine M., Varkkey, Helena, Lupascu, Massimo, Parish, Faizal, Singleton, Ian, Clements, Gopalasamy R., Aziz, Sheema Abdul, Harrison, Mark E., Cheyne, Susan, Anshari, Gusti Z., Meijaard, Erik, Goldstein, Jenny E., Waldron, Susan, Hergoualc'h, Kristell, Dommain, René, Frolking, Steve, Evans, Christopher D., Posa, Mary Rose C., Glaser, Paul H., Suryadiputra, Nyoman, Lubis, Reza, Santika, Truly, Padfield, Rory, Kurnianto, Sofyan, Hadisiswoyo, Panut, Lim, Teck Wyn, Page, Susan E., Gauci, Vincent, van der Meer, Peter J, Buckland, Helen, Garnier, Fabien, Samuel, Marshall K., Choo, Liza Nuriati Lim Kim, O'Reilly, Patrick, Warren, Matthew, Suksuwan, Surin, Sumarga, Elham, Jain, Anuj, Laurance, William F., Couwenberg, John, Joosten, Hans, Vernimmen, Ronald, Hooijer, Aljosja, Malins, Chris, Cochrane, Mark A., Perumal, Balu, Siegert, Florian, Peh, Kelvin S.-H., Comeau, Louis-Pierre, Verchot, Louis, Harvey, Charles F., Cobb, Alex, Jaafar, Zeehan, Wösten, Henk, Manuri, Solichin, Müller, Moritz, Giesen, Wim, Phelps, Jacob, Yong, Ding Li, Silvius, Marcel, Wedeux, Béatrice M. M., Hoyt, Alison, Osaki, Mitsuru, Takashi, Hirano, Takahashi, Hidenori, Kohyama, Takashi S., Haraguchi, Akira, Nugroho, Nunung P., Coomes, David A., Quoi, Le Phat, Dohong, Alue, Gunawan, Haris, Gaveau, David L.A., Langner, Andreas, Lim, Felix K. S., Edwards, David P., Giam, Xingli, van der Werf, Guido, Carmenta, Rachel, Verwer, Caspar C., Gibson, Luke, Grandois, Laure, Graham, Laura Linda Bozena, Regalino, Jhanson, Wich, Serge A., Rieley, Jack, Kettridge, Nicholas, Brown, Chloe, Pirard, Romain, Moore, Sam, Ripoll Capilla, B., Ballhorn, Uwe, Ho, Hua Chew, Hoscilo, Agata, Lohberger, Sandra, Evans, Theodore A., Yulianti, Nina, Blackham, Grace, Onrizal, Husson, Simon, Murdiyarso, Daniel, Pangala, Sunita, Cole, Lydia E.S., Tacconi, Luca, Segah, Hendrik, Tonoto, Prayoto, Lee, Janice S.H., Schmilewski, Gerald, Wulffraat, Stephan, Putra, Erianto Indra, Cattau, Megan E., Clymo, R.S., Morrison, Ross, Mujahid, Aazani, Miettinen, Jukka, Liew, Soo Chin, Valpola, Samu, Wilson, David, D'Arcy, Laura, Gerding, Michiel, Sundari, Siti, Thornton, Sara A., Kalisz, Barbara, Chapman, Stephen J., Su, Ahmad Suhaizi Mat, Basuki, Imam, Itoh, Masayuki, Traeholt, Carl, Sloan, Sean, Sayok, Alexander K., Andersen, Roxane, Wijedasa, Lahiru S., Jauhiainen, Jyrki, Könönen, Mari, Lampela, Maija, Vasander, Harri, LeBlanc, Marie-Claire, Evers, Stephanie, Smith, Thomas E.L., Yule, Catherine M., Varkkey, Helena, Lupascu, Massimo, Parish, Faizal, Singleton, Ian, Clements, Gopalasamy R., Aziz, Sheema Abdul, Harrison, Mark E., Cheyne, Susan, Anshari, Gusti Z., Meijaard, Erik, Goldstein, Jenny E., Waldron, Susan, Hergoualc'h, Kristell, Dommain, René, Frolking, Steve, Evans, Christopher D., Posa, Mary Rose C., Glaser, Paul H., Suryadiputra, Nyoman, Lubis, Reza, Santika, Truly, Padfield, Rory, Kurnianto, Sofyan, Hadisiswoyo, Panut, Lim, Teck Wyn, Page, Susan E., Gauci, Vincent, van der Meer, Peter J, Buckland, Helen, Garnier, Fabien, Samuel, Marshall K., Choo, Liza Nuriati Lim Kim, O'Reilly, Patrick, Warren, Matthew, Suksuwan, Surin, Sumarga, Elham, Jain, Anuj, Laurance, William F., Couwenberg, John, Joosten, Hans, Vernimmen, Ronald, Hooijer, Aljosja, Malins, Chris, Cochrane, Mark A., Perumal, Balu, Siegert, Florian, Peh, Kelvin S.-H., Comeau, Louis-Pierre, Verchot, Louis, Harvey, Charles F., Cobb, Alex, Jaafar, Zeehan, Wösten, Henk, Manuri, Solichin, Müller, Moritz, Giesen, Wim, Phelps, Jacob, Yong, Ding Li, Silvius, Marcel, Wedeux, Béatrice M. M., Hoyt, Alison, Osaki, Mitsuru, Takashi, Hirano, Takahashi, Hidenori, Kohyama, Takashi S., Haraguchi, Akira, Nugroho, Nunung P., Coomes, David A., Quoi, Le Phat, Dohong, Alue, Gunawan, Haris, Gaveau, David L.A., Langner, Andreas, Lim, Felix K. S., Edwards, David P., Giam, Xingli, van der Werf, Guido, Carmenta, Rachel, Verwer, Caspar C., Gibson, Luke, Grandois, Laure, Graham, Laura Linda Bozena, Regalino, Jhanson, Wich, Serge A., Rieley, Jack, Kettridge, Nicholas, Brown, Chloe, Pirard, Romain, Moore, Sam, Ripoll Capilla, B., Ballhorn, Uwe, Ho, Hua Chew, Hoscilo, Agata, Lohberger, Sandra, Evans, Theodore A., Yulianti, Nina, Blackham, Grace, Onrizal, Husson, Simon, Murdiyarso, Daniel, Pangala, Sunita, Cole, Lydia E.S., Tacconi, Luca, Segah, Hendrik, Tonoto, Prayoto, Lee, Janice S.H., Schmilewski, Gerald, Wulffraat, Stephan, Putra, Erianto Indra, Cattau, Megan E., Clymo, R.S., Morrison, Ross, Mujahid, Aazani, Miettinen, Jukka, Liew, Soo Chin, Valpola, Samu, Wilson, David, D'Arcy, Laura, Gerding, Michiel, Sundari, Siti, Thornton, Sara A., Kalisz, Barbara, Chapman, Stephen J., Su, Ahmad Suhaizi Mat, Basuki, Imam, Itoh, Masayuki, Traeholt, Carl, Sloan, Sean, Sayok, Alexander K., and Andersen, Roxane

Abstract

The first International Peat Congress (IPC) held in the tropics - in Kuching (Malaysia) - brought together over 1000 international peatland scientists and industrial partners from across the world (“International Peat Congress with over 1000 participants!,” 2016). The congress covered all aspects of peatland ecosystems and their management, with a strong focus on the environmental, societal and economic challenges associated with contemporary large-scale agricultural conversion of tropical peat.

36. Denial of long-term issues with agriculture on tropical peatlands will have devastating consequences.

Author

Wijedasa LS, Jauhiainen J, Könönen M, Lampela M, Vasander H, Leblanc MC, Evers S, Smith TE, Yule CM, Varkkey H, Lupascu M, Parish F, Singleton I, Clements GR, Aziz SA, Harrison ME, Cheyne S, Anshari GZ, Meijaard E, Goldstein JE, Waldron S, Hergoualc'h K, Dommain R, Frolking S, Evans CD, Posa MR, Glaser PH, Suryadiputra N, Lubis R, Santika T, Padfield R, Kurnianto S, Hadisiswoyo P, Lim TW, Page SE, Gauci V, Van Der Meer PJ, Buckland H, Garnier F, Samuel MK, Choo LN, O'Reilly P, Warren M, Suksuwan S, Sumarga E, Jain A, Laurance WF, Couwenberg J, Joosten H, Vernimmen R, Hooijer A, Malins C, Cochrane MA, Perumal B, Siegert F, Peh KS, Comeau LP, Verchot L, Harvey CF, Cobb A, Jaafar Z, Wösten H, Manuri S, Müller M, Giesen W, Phelps J, Yong DL, Silvius M, Wedeux BM, Hoyt A, Osaki M, Hirano T, Takahashi H, Kohyama TS, Haraguchi A, Nugroho NP, Coomes DA, Quoi LP, Dohong A, Gunawan H, Gaveau DL, Langner A, Lim FK, Edwards DP, Giam X, Van Der Werf G, Carmenta R, Verwer CC, Gibson L, Gandois L, Graham LL, Regalino J, Wich SA, Rieley J, Kettridge N, Brown C, Pirard R, Moore S, Capilla BR, Ballhorn U, Ho HC, Hoscilo A, Lohberger S, Evans TA, Yulianti N, Blackham G, Onrizal, Husson S, Murdiyarso D, Pangala S, Cole LE, Tacconi L, Segah H, Tonoto P, Lee JS, Schmilewski G, Wulffraat S, Putra EI, Cattau ME, Clymo RS, Morrison R, Mujahid A, Miettinen J, Liew SC, Valpola S, Wilson D, D'Arcy L, Gerding M, Sundari S, Thornton SA, Kalisz B, Chapman SJ, Su AS, Basuki I, Itoh M, Traeholt C, Sloan S, Sayok AK, and Andersen R

Published
2017
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