cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6073/pasta/7052fc191d010bd025571c0cc6dc0603
title: Tree Ring Data from North Round Pond in Pisgah State Forest NH 1754-2015

description: Is it possible to reconstruct aboveground carbon/biomass from tree rings? If so, how far back in time can researchers go when using tree-ring data in the reconstruction of past biomass? Answers to these questions will have a significant impact on our understanding of dynamics in the terrestrial carbon sink. Long tree-ring records of biomass can reveal intra-annual to annual to multidecadal variations that cannot be resolved by forest census data that is not conducted at annual time steps. Additionally, while these dynamics might be resolved using remote sensing, most remotely-sensed products are only two decades or less in length. By having long records of carbon biomass, we can then identify not only the dominant drivers of biomass, but how the importance of these drivers might change during different eras as environmental factors change (e.g., climate, air pollution, disturbance). 
 To test these and other questions, we collected tree-ring records from four 30m radius plots set in the vicinity of North Round Pond in Pisgah State Forest, New Hampshire. Two plots are set in broadleaf-dominated forests while two are set in oak-mixed conifer dominated forests. We can convert these data to biomass using allometric equations and compare tree-ring inferred aboveground biomass to the census data going back in time. While a strong hurricane in September 1938 knocked down 80% of a stand ca 3.5 km SSE of these stands and the stands in the vicinity of the North Round Pond are set on N- and NW-facing slopes, and thus potentially shielded by the strong tropical winds, they, too, were disturbed by the hurricane of 1938. However, there are some very old trees and patches of trees in this landscape, while, at the same time, we suspect some logging impacted parts of some of these plots in the 1960s, like in North Round Pond Plot 1. The forest stands have since regrown and the plots we installed can be used to understand forest recovery and carbon dynamics in a heavily disturbance forest. Recruitment dates for some of the trees from these plots have been published in Pederson et al. (2017).
 Pederson, N., Young, A. B., Stan, A. B., Ariya, U., Martin-Benito, D. 2017. Low-Hanging DendroDynamic Fruits Regarding Disturbance in Temperate, Mesic Forests. In: Amoroso, M. M., Daniels, L. D., Baker, P. J., Camarero, J. J., Dendroecology: Tree-Ring Analyses Applied to Ecological Studies, Springer, Cham., Switzerland.
DOI: 10.18119/n9fw3x
title: Brachypodium distachyon root exudates
DOI: 10.6073/pasta/b466cab64fe68b778be9325503d508f7
title: Tree Ring Data from the Harvard Tract in Pisgah State Forest NH 1675-2015

description: Is it possible to reconstruct aboveground carbon/biomass from tree rings? If so, how far back in time can researchers go when using tree-ring data in the reconstruction of past biomass? Answers to these questions will have a significant impact on our understanding of dynamics in the terrestrial carbon sink. Long tree-ring records of biomass can reveal intra-annual to annual to multidecadal variations that cannot be resolved by forest census data that is not conducted at annual time steps. Additionally, while these dynamics might be resolved using remote sensing, most remotely-sensed products are only two decades or less in length. By having long records of carbon biomass, we can then identify not only the dominant drivers of biomass, but how the importance of these drivers might change during different eras as environmental factors change (e.g., climate, air pollution, disturbance). 
 To test these and other questions, we collected tree-ring records from two 30m radius plots set within Harvard’s Pisgah Tract in Pisgah State Forest, New Hampshire. We can convert these data to biomass using allometric equations and compare tree-ring inferred aboveground biomass to the census data going back in time. Famously, 80% of this tract was knocked down in September 1938 by a strong hurricane. The forest has sine regrown and the plots we installed can be used to understand forest recovery and carbon dynamics in a heavily disturbance forest. Given that this was a known/decently documented event, these data were used by Trotsiuk et al. (2018) to test various growth release methods as applied to tree-ring data.
 Trotsiuk, V., Pederson, N., Druckenbrod, D. L., Orwig, D. A., Bishop, D. A., Barker Plotkin, A., Fraver, S., Martin-Benito, D. 2018. Testing the efficacy of tree-ring methods for detecting past disturbances. Forest Ecology and Management 425: 59-67.
DOI: 10.6073/pasta/5b3c0e8d81ab38af9e412c6c3878ffcb
title: Tree Ring Data from Rooster Hill in Adirondack State Park NY 1828-2015

description: Is it possible to reconstruct aboveground carbon/biomass from tree rings? If so, how far back in time can researchers go when using tree-ring data in the reconstruction of past biomass? Answers to these questions will have a significant impact on our understanding of dynamics in the terrestrial carbon sink. Long tree-ring records of biomass can reveal intra-annual to annual to multidecadal variations that cannot be resolved by forest census data that is not conducted at annual time steps. Additionally, while these dynamics might be resolved using remote sensing, most remotely-sensed products are only two decades or less in length. By having long records of carbon biomass, we can then identify not only the dominant drivers of biomass, but how the importance of these drivers might change during different eras as environmental factors change (e.g., climate, air pollution, disturbance).
 To test these and other questions, we collected tree-ring records from two 30m radius plots set Rooster Hill in New York State. We chose this location because it has oak dominated mixed forests that can be compared to the long-term forests being studied for carbon dynamics at the Harvard Forest. We can convert these data to biomass using allometric equations and compare tree-ring inferred aboveground biomass to the census data going back in time to understand forest recovery and carbon dynamics in a heavily disturbance forest.
DOI: 10.6073/pasta/8850b548b57720296ae139aa04e19da0
title: Early-Holocene Forest at Stonewall Beach on Martha’s Vineyard 10700-9800 BP

description: Coastal erosion at Stonewall Beach on the island of Martha’s Vineyard, Massachusetts, U.S.A., has exposed a thick layer of peaty sediments rich in botanical remains, including well-preserved tree trunks. We identified the species of the tree trunks based on wood anatomy, analyzed pollen and macrofossils in the sediments, and determined the ages of the tree trunks and peat with 14C dating. The tree trunks were identified as Pinus strobus (white pine), and pollen assemblages featured high percentages of P. strobus in sediments associated with the trunks. The tree trunks and peat dated to ~10,700–9800 calibrated 14C years before present. These findings confirm that Martha’s Vineyard, like other parts of southern New England, was dominated by P. strobus forest during the early Holocene. At that time, regional climate was drier than today and Martha’s Vineyard was not yet isolated from the mainland by postglacial sea-level rise.
DOI: 10.5066/p9q01qjj
title: Sr/Ca and Linear Extension Data for a Modern Orbicella faveolata Colony From Marquesas Keys, Florida, USA

description: The coral Strontium/Calcium (Sr/Ca) paleothermometer can provide a powerful proxy for centennial-scale sea-surface temperature (SST) variability in the Caribbean/Atlantic Ocean region. This data release presents a new, 150-year proxy reconstruction (1830-1980 C.E.) of monthly-resolved Sr/Ca-based SST estimates from the coral species Orbicella faveolata collected from the Marquesas Keys, Florida (FL), USA in 1980. The reconstruction shows pronounced decadal-scale variability with a range of 1 to 2 degrees Celsius (C). The coolest portion of the Sr/Ca-SST record coincides with the end of the Little Ice Age. Following the Little Ice Age, there was a trend of significant winter warming to present. Strong coherence among coral-based SST reconstructions in the Caribbean-Atlantic over the past century suggests a common driver of multidecadal SST trends throughout the region. Significant relationships occur between the Sr/Ca-SST record and Atlantic Multidecadal Variability. For further information regarding data collection and/or processing methods, refer to the associated journal article (Flannery and others, in press).

Flannery, J.A., Richey, J.N., Toth, L.T., and Mette, M.J., [in press], 20th century warming in lower Florida Keys dominated by increasing winter temperature: Paleoceanography and Paleoclimatology.
DOI: 10.5281/zenodo.10357889
title: RAM Legacy Stock Assessment Database v4.63

description: RAM Legacy Stock Assessment Database version 4.63
DOI: 10.5281/zenodo.10357891
title: RAM Legacy Stock Assessment Database v4.63

description: RAM Legacy Stock Assessment Database version 4.63
DOI: 10.6073/pasta/93ddae64db926895f4b0af8b8681d7de
title: Wildlands and Woodlands Stewardship Science Vegetation Plots in New England 2009-2015

description: The Wildlands and Woodlands (W&W) initiative is a broad, collaborative effort to protect 70% of New England in forest over the next 50 years. At the heart of this initiative is the awareness that our wooded landscapes provide immeasurable economic, environmental, and cultural benefits and the conviction that we should understand these systems better, manage them wisely, and conserve them for the future. As part of W&W, Stewardship Science seeks to encourage widespread application of an accessible approach to monitoring forests that interested landowners or conservation-minded individuals can use to track changes in their woods over time. Whether the motivation is active management for timber, understanding how forests are being shaped by factors ranging from climate change and ice storms to insect pests, or simple pleasure in observing nature’s dynamics, anyone equipped with a notebook, tape measure, pencil, and the willingness to puzzle through a book of tree identification can readily develop a robust and valuable set of observations. This idea is not new. For over 150 years, leading conservationists and ecological thinkers beginning with Henry David Thoreau have argued that there is much to be learned through simple, long-term measurements of forest growth and change. Yet there are still remarkably few examples of private landowners, land trusts, timber companies, or conservation organizations that base their understanding and management practices on a regular system of observations and measurements. Because the vast majority of forestland in New England is privately owned, most of these lands remain unmonitored, and management plans are often drawn up from casual rather than systematic observation. For more background information on the project, please see the Wildlands & Woodlands Stewardship Science manual.
 This data package contains vegetation and environmental data on 64 20x20m plots set up in four areas across New England by staff and summer field crews from the Harvard Forest. These plots were set up on properties owned by different conservation-minded organizations and families with the broad intent of sampling across different management regimes (managed vs. unmanaged), across contrasting forest tree communities, and across different forest ages. The sampled areas include properties in southern Petersham, northeast Vermont, and central Maine. These data are part of a central W&W Stewardship Science data repository created by the Harvard Forest to hold data collected by our Stewardship Science partners at Highstead and elsewhere. It is hoped that researchers will use these plots to inform land managers and engage landowners now, and especially in the future; as the plots get resampled, they will provide valuable insights on short-and long-term forest change.
DOI: 10.5281/zenodo.4472664
title: ATMS Limb Correction Coefficients for NOAA-20 and SNPP platforms

description: Limb correction coefficients used to create limb adjusted brightness temperature. Four separate files provide separate land and sea correction coefficients for two different ATMS sensors, one onboard on the NOAA-20 platform and the other onboard on the SNPP platform. Reference publication (older coefficients used in paper): Zhang K; Zhou L; Goldberg M; Liu X; Wolf W; Tan C, et al. A Methodology to Adjust ATMS Observations for Limb Effect and Its Applications. Journal of Geophysical Research: Atmospheres. 2017;122(21):11,347-11,56. https://doi.org/10.1002/2017JD026820
DOI: 10.6073/pasta/376b0907616b34707edf7b9a1ac369d0
title: Juvenile Tree Responses to Soil Warming at Harvard Forest since 1995

description: The main goal of this study is to assess eastern tree species’ growth, survivorship, and phenological responses to soil warming in order to forecast future changes in forest succession and carbon dynamics. From 2003 through 2010, we determined that shade-tolerant, normally slower-growing species benefitted most from warming. We are continuing to study species-species responses to investigate the duration of and mechanisms behind species- and functional group responses to climate warming. Monitoring long-term demographic and physiological responses of juvenile trees with and without soil warming will allow us to model future eastern tree species successional shifts under warmer climate conditions.
DOI: 10.6073/pasta/6f65ebc286a52bc726817922e62c349e
title: Wildlands of New England GIS Data 1900-2022

description: Wildlands in New England is the first U.S. study to map and characterize within one region all conserved lands that, by design, allow natural processes to unfold with no active management or intervention. These “forever wild lands” include federal Wilderness areas along with diverse public and private natural areas and reserves. Knowing the precise locations of Wildlands, their characteristics, and their protection status is important as both a baseline for advancing conservation initiatives and an urgent call to action for supporting nature and society. Wildlands play a unique role in the integrated approach to conservation and land planning advanced by the Wildlands, Woodlands, Farmlands & Communities (WWF&C) initiative, which calls for: at least 70 percent of the region to be protected forest; Wildlands to occupy at least 10 percent of the land; and all existing farmland to be permanently conserved. This research was conducted by WWF&C partners Harvard Forest (Harvard University), Highstead Foundation, and Northeast Wilderness Trust, in collaboration with over one hundred conservation organizations and municipal, state, and federal agencies.
 This dataset contains the Geographical Information System (GIS) polygon layer of Wildlands created by this project and used in all analyses for the 2023 report. Another GIS layer will be updated as new Wildlands are brought to our attention or created and will be available at https://wildlandsandwoodlands.org/ for researchers.
DOI: 10.6073/pasta/20a838c4bd6922685b3d00661d45c414
title: Annual Maps of Forest Harvest Events in Maine from LANDSAT Imagery 1986-2019

description: We used Landsat satellite imagery and forest inventory plot measurements to develop a time series of annual maps representing potential forest harvest events for the state of Maine in the Northeastern US for the years 1986 to 2019. We first generated a set of LandTrendr temporal segmentation results for three different spectral indices. Change results were filtered to remove events greater than two years in duration, then results were combined using a seven-parameter degenerate decision trees model that determined a set of thresholds on disturbance patch size, magnitude of spectral change, and change “votes” across indices. We found that we were able to detect harvest events that removed at least 30% of total basal area with a mean F1 score of 0.72 (σ = 0.02) with a mean false negative error rate (omission) of 0.32 (σ = 0.02) and mean false positive error rate (commission) of 0.23 (σ = 0.03), and these scores further improve when maps are masked to remove human land use (built and agriculture) and water based on National Land Cover Dataset and JRC Global Surface Water classifications (mean F1 = 0.73, σ = 0.02). Comparisons with an out-of-sample reference dataset and an existing national forest disturbance dataset indicate our forest harvest maps are a locally accurate source of information for characterizing spatial and temporal variability in long-term harvest patterns across the industrial forests of northern Maine. Here, we provide annual ensemble-based maps of potential harvest events; cross-validated results, which give an indication of detection agreement across subsets of our forest inventory reference datasets; and ancillary datasets that can be used to mask false detections in urban and agricultural land uses and water.
DOI: 10.6084/m9.figshare.21665774
title: Data for "Emergent climate pattern originating from deep ocean warming"

description: Data for "Deep ocean warming-induced irreversible climate changes"
DOI: 10.6084/m9.figshare.21665774.v2
title: Data for "Deep ocean warming-induced irreversible climate changes"

description: Data for "Deep ocean warming-induced irreversible climate changes"
DOI: 10.6084/m9.figshare.21665774.v3
title: Data for "Emergent climate pattern originating from deep ocean warming"

description: Data for "Deep ocean warming-induced irreversible climate changes"
DOI: 10.6073/pasta/a06237e33d9e8c2d9a530c1349d319a8
title: Effect of Warming on Thermal Adaptation of Soil Microbial Growth Traits at Harvard Forest 2013-2023

description: Adaptation of soil microbes due to warming from climate change has been observed, but it remains unknown what microbial growth traits are adaptive to warming. We studied bacterial isolates from the Harvard Forest Long-Term Ecological Research site, where field soils have been experimentally heated to 5ºC above ambient temperature with unheated controls for thirty years. We hypothesized that Alphaproteobacteria from warmed plots have (1) less temperature sensitive growth rates; (2) higher optimum growth temperatures; and (3) higher maximum growth temperatures compared to isolates from control plots. We made high-throughput measurements of bacterial growth in liquid cultures over time and across temperatures from 22-37ºC in 2-3ºC increments. We estimated growth rates by fitting Gompertz models to the growth data. Temperature sensitivity of growth rate, optimum growth temperature, and maximum growth temperature were estimated by the Ratkowsky 1983 model and a modified Macromolecular Rate Theory (MMRT) model. To determine evidence of adaptation, we ran phylogenetic generalized least squares tests on isolates from warmed and control soils. Our results showed evidence of adaptation of higher optimum growth temperature of bacterial isolates from heated soils. However, we observed no evidence of adaptation of temperature sensitivity of growth and maximum growth temperature. Our project begins to capture the shape of the temperature response curves, but illustrates that the relationship between growth and temperature is complex and cannot be limited to a single point in the biokinetic range.
DOI: 10.12770/aad71e0f-ca05-4066-841a-5474de86d223
title: BD ORTHO® Historique - Source DCSMM2024 pour le D6C1
title: Base de Données Orthophotographiques

description: Le produit BD ORTHO® Historique est une collection de mosaïques numériques d'anciennes orthophotographies panchromatiques (niveaux de gris) rectifiées dans la projection adaptée au territoire couvert.
DOI: 10.5281/zenodo.10357888
title: CESM2/CAM6 Idealized Methane Simulations

description: Netcdf files contain monthly near-surface air temperature (TREFHT) and total precipitation (PRECT) for years 50-90 of CESM2/CAM6 coupled ocean-atmosphere idealized methane simulations.  Files with "MOD" indicate no shortwave absorption by methane (i.e., only longwave absorption by methane).  Files without "MOD" indicate both shortwave and longwave absorption by methane.  Methane perturbations include 2x , 5x and 10x preindustrial atmospheric methane concentrations.  UPDATE: New 2.5x methane perturbation experiments have been added.  The control simulations (using preindustrial methane concentrations) lack "2x, 5x and 10x" identifiers in their names (i.e., B1850_TEST and B1850_MOD_TEST).
DOI: 10.5281/zenodo.7596622
title: CESM2/CAM6 Idealized Methane Simulations

description: Netcdf files contain monthly near-surface air temperature (TREFHT) and total precipitation (PRECT) for years 50-90 of CESM2/CAM6 coupled ocean-atmosphere idealized methane simulations.  Files with "MOD" indicate no shortwave absorption by methane (i.e., only longwave absorption by methane).  Files without "MOD" indicate both shortwave and longwave absorption by methane.  Methane perturbations include 2x , 5x and 10x preindustrial atmospheric methane concentrations.  UPDATE: New 2.5x methane perturbation experiments have been added.  The control simulations (using preindustrial methane concentrations) lack "2x, 5x and 10x" identifiers in their names (i.e., B1850_TEST and B1850_MOD_TEST).
DOI: 10.5281/zenodo.7596623
title: CESM2/CAM6 Idealized Methane Simulations

description: Netcdf files contain monthly near-surface air temperature (TREFHT) and total precipitation (PRECT) for years 50-90 of CESM2/CAM6 coupled ocean-atmosphere idealized methane simulations. Files with "MOD" indicate no shortwave absorption by methane (i.e., only longwave absorption by methane). Files without "MOD" indicate both shortwave and longwave absorption by methane. Methane perturbations include 2x , 5x and 10x preindustrial atmospheric methane concentrations. The control simulations (using preindustrial methane concentrations) lack "2x, 5x and 10x" identifiers in their names (i.e., B1850_TEST and B1850_MOD_TEST).
DOI: 10.6073/pasta/d05e2b0fad02abd0a5ca3f9aa990e281
title: Column-Averaged Atmospheric Carbon and Water at Harvard Forest since 2018

description: Ground-based total-atmospheric column measurements of CO2, CH4, CO, and H2O began at Harvard Forest in May 2018 using a solar-viewing Fourier Transform Spectrometer (Bruker EM27/Sun). Observations are made from a platform near the Fisher Meteorological Tower throughout the year on sunny days. Total column observations are sensitive to regional carbon fluxes, and are less impacted by changes in the boundary layer height than tower based in-situ observations. The Harvard Forest observations are complemented by an identical instrument operated on the Harvard campus in Cambridge MA. The two sensors are used to support studies of urban emissions, regional transport, and forest-atmosphere exchange. In addition, the total-column measurements provide key validation data for satellite measurements of greenhouse gases.
DOI: 10.26207/e0kx-e695
title: Chemical Ecology Lab side of building