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- The unprecedented number of devastating disasters recently experienced in the United States is a clarion call to revisit how we understand our vulnerability in the face of global change, and what we are prepared to do about it. We focus on the case of Hurricane María’s impact in Puerto Rico to underscore five critical concerns in addressing vulnerability and adaptation planning: (i) vulnerability as a product of flows; (ii) how our beliefs about the capacities of ourselves and others affect local vulnerability; (iii) the role uncertainty, politics, and information access play in amplifying...AuthorsHallie Eakin, Tischa A. A. Munoz, Maria Carmen. LemosKeywordsSourceJournal of Extreme EventsYear2018
- AuthorsWilliam A. Gould, Ernesto Diaz, Nora Alvarez-Berrios, F Aponte-González, W Archibald, J.H. Bowden, L Carrubba, W Crespo, Stephen Joshua Fain, Grizelle Gonzalez, A Goulbourne, E Harmsen, Eva Holupchinski, Azad Henareh Khalyani, J Kossin, A.J. Leinberger, V.I. Marrero-Santiago, O. Martínez-Sánchez, Kathleen McGinley, P Méndez-Lázaro, J Morell, M.M. Oyola, Isabel K. Parés-Ramos, R Pulwarty, W.V. Sweet, A Terando, S Torres-GonzálezKeywordsSourceImpacts, Risks, and Adaptation in the United States: Fourth National Climate AssessmentYear2018
- We mapped native, endemic, and introduced (i.e., exotic) tree species counts, relative basal areas of functional groups, species basal areas, and forest biomass from forest inventory data, satellite imagery, and environmental data for Puerto Rico and the Virgin Islands. Imagery included time series of Landsat composites and Moderate Resolution Imaging Spectroradiometer (MODIS)-based phenology. Environmental data included climate, land-cover, geology, topography, and road distances. Large-scale deforestation and subsequent forest regrowth are clear in the resulting maps decades after...AuthorsEileen Helmer, Thomas Ruzycki, Barry T. (Ty) Wilson, Kirk Sherrill, Michael Lefsky, Humfredo Marcano-Vega, Thomas Brandeis, Heather Erickson, Bonnie RuefenachtKeywordsSourceRemote SensingYear2018
- Seasonal time series data from satellites are highly desired by researchers from different fields to study our Earth system. Seasonal time series data contain the temporal aspects of natural phenomena on the land surface, which are extremely helpful for discriminating different land cover types (Zhu and Liu, 2014), monitoring vegetation dynamics (Shen et al., 2011), estimating crop yields (Johnson et al., 2016), assessing environmental threats (Garrity et al., 2013), exploring human-nature interactions (Zhu and Woodcock, 2014a), and revealing ecology-climate feedbacks (Piao et al., 2015).AuthorsXiaolin Zhu, Eileen Helmer, Jin Chen, Desheng LiuSourceBookYear2018
- An extreme disturbance event is one in which any of its component disturbance forces and their interactions with affected systems have dimensions and responses that exceed the known range of variation expected of those parameters. If the exposed system does not respond or exhibits a low level response to an event, the event was not extreme to the exposed system, regardless of the dimensions of its disturbance forces. Extreme disturbance events are complex and require disaggregation to improve understanding of their effects. The areas affected by extreme events and the duration of the...AuthorsAriel LugoKeywordsSourceBiogeochemistryYear2018
- The large, highly glacierized Copper River basin is an important water resource for the south-central region of Alaska. Thus, information is needed on the reaction of its hydrologic timing and streamflow volumes to historical changes in climate, in order to assess the possible impact of future changes. However, the basin is remote, and therefore, it has proved difficult to collect field data in a frequent temporal and spatial manner. An extension of the distributed-parameter, physical-process code Precipitation Runoff Modeling System, PRMSglacier, has been specifically developed to...AuthorsAshley Van Beusekom, Roland J. VigerKeywordsSourceWater Resources ResearchYear2018
- The Luquillo Mountains of eastern Puerto Rico are home to the only tropical rainforest managed by the United States Forest Service, with cloud-immersed forests historically occupying the highest elevations. However, within the past 50 yr, studies of the Luquillo cloud forest have suggested an increase in cloud base heights (CBH), although the CBH in the area was not quantified until recently. The present work uses radiosonde observations from nearby San Juan, Puerto Rico, to contextualize the present-day CBH within a 42 yr (1975−2016) proxy record and determine evidence for rising cloud...AuthorsPaul W. Miller, Thomas L. Mote, Craig A. Ramseyer, Ashley Van Beusekom, Martha Scholl, Grizelle GonzalezKeywordsSourceClimate ResearchYear2018
- Amazon forests have experienced frequent and severe droughts in the past two decades. However, little is known about the large-scale legacy of droughts on carbon stocks and dynamics of forests. Using systematic sampling of forest structure measured by LiDAR waveforms from 2003 to 2008, here we show a significant loss of carbon over the entire Amazon basin at a rate of 0.3 ± 0.2 (95% CI) PgC yr−1 after the 2005 mega-drought, which continued persistently over the next 3 years (2005–2008). The changes in forest structure, captured by average LiDAR forest height and converted to above ground...AuthorsYan Yang, Sassan S. Saatchi, Liang Xu, Yifan Yu, Sungho Choi, Nathan Phillips, Robert Kennedy, Michael Keller, Yuri Knyazikhin, Ranga B. MyneniKeywordsSourceNature CommunicationsYear2018
- Cerrado is the second largest biome in South America and accounted for the second largest contribution to carbon emissions in Brazil for the last 10 years, mainly due to land-use changes. It comprises approximately 2 million km2 and is divided into 22 ecoregions, based on environmental conditions and vegetation. The most dominant vegetation type is cerrado sensu stricto (cerrado ss), a savanna woodland. Quantifying variation of biomass density of this vegetation is crucial for climate change mitigation policies. Integrating remote sensing data with adequate allometric equations and...AuthorsIris Roitman, Mercedes M. C. Bustamante, Ricardo F. Haidar, Julia Z. Shimbo, Guilherme C. Abdala, George Eiten, Christopher W. Fagg, Maria Cristina Felfili, Jeanine Maria Felfili, Tamiel K. B. Jacobson, Galiana S. Lindoso, Michael Keller, Eddie Lenza, Sabrina C. Miranda, José Roberto R. Pinto, Ariane A. Rodrigues, Wellington B. C. Delitti, Pedro Roitman, Jhames M. SampaioKeywordsSourcePLOS ONEYear2018
- The impact of Hurricane Maria on the U.S. Caribbean was used to study the causes of remotely-sensed spatial variation in the effects of (1) vegetation index loss and (2) landslide occurrence. The vegetation index is a measure of canopy ‘greenness’, a combination of leaf chlorophyll, leaf area, canopy cover and structure. A generalized linear model was made for each kind of effect, using idealized maps of the hurricane forces, along with three landscape characteristics that were significantly associated. In each model, one of these characteristics was forest fragmentation, and another was a...AuthorsAshley Van Beusekom, Nora Alvarez-Berrios, William A. Gould, Maya Quinones, Grizelle GonzalezKeywordsSourceRemote SensingYear2018