kja.papers.club
~kja.papers.club
67 papers, 67 read
groups: remote sensing, restoration, ecosystem function, biodiversity, mining
Yang, Z., Li, J., Zipper, C. E., et al. (2018). Identification of the Disturbance and Trajectory Types in Mining Areas Using Multitemporal Remote Sensing Images. Science of the Total Environment.
Wang, Y., & Huang, F. (2015). Identification and Analysis of Ecosystem Functional Types in the West of Songnen Plain, China, Based on Moderate Resolution Imaging Spectroradiometer Data. Journal of Applied Remote Sensing.
Villarreal, S., Guevara, M., Alcaraz-Segura, D., et al. (2019). Optimizing an Environmental Observatory Network Design Using Publicly Available Data. JGR Biogeosciences.
Villarreal, S., Guevara, M., Alcaraz-Segura, D., et al. (2018). Ecosystem Functional Diversity and the Representativeness of Environmental Networks across the Conterminous United States. Agricultural and Forest Meteorology.
Vanderwalle, M., de Bello, F., Berg, M. P., et al. (2010). Functional Traits as Indicators of Biodiversity Response to Land Use Changes across Ecosystems and Organisms. Biodiversity and Conservation.
Thompson, S. D., Nelson, T. A., Coops, N. C., et al. (2017). Global Spatial–Temporal Variability in Terrestrial Productivity and Phenology Regimes between 2000 and 2012. Annals of the American Association of Geographers.
Sen, S., Zipper, C., Wynne, R., et al. (2012). Identifying Revegetated Mines as Disturbance/Recovery Trajectories Using an Interannual Landsat Chronosequence. Photogrammetric Engineering and Remote Sensing.
Schober, B., Helming, K., & Wiggering, H. (2010). Assessing Land Use Change Impacts – A Comparison of the SENSOR Land Use Function Approach with Other Frameworks. Journal of Land Use Science.
Rotllan-Puig, X., Ivits, E., & Cherlet, M. (2021). LPDynR: A New Tool to Calculate the Land Productivity Dynamics Indicator. Ecological Indicators.
Roccini, D., Bacaro, G., Chirici, G., et al. (2018). Remotely Sensed Spatial Heterogeneity as an Exploratory Tool for Taxonomic and Functional Diversity Study. Ecological Indicators.
Regos, A., Gonçalves, J., Arenas-Castro, S., et al. (2022). Mainstreaming Remotely Sensed Ecosystem Functioning in Ecological Niche Models. Remote Sensing in Ecology and Conservation.
Perez-Hoyos, A., Martínez, B., García-Haro, F. J., et al. (2014). Identification of Ecosystem Functional Types from Coarse Resolution Imagery Using a Self-Organizing Map Approach: A Case Study for Spain. Remote Sensing.
Paruelo, J. M., Jobbágy, E. G., & Sala, O. E. (2001). Current Distribution of Ecosystem Functional Types in Temperate South America. Ecosystems.
Muller, O. V., Berbery, E. H., Alcaraz-Segura, D., et al. (2014). Regional Model Simulations of the 2008 Drought in Southern South America Using a Consistent Set of Land Surface Properties. Journal of Climate.
Martinez-Lopez, J., Bertzky, B., Robuchon, M., et al. (2023). Assessing Habitat Diversity and Potential Areas of Similarity across Protected Areas Globally. Ecological Informatics.
Marcos, B., Gonçalves, J., Alcaraz-Segura, D., et al. (2023). Assessing the Resilience of Ecosystem Functioning to Wildfires Using Satellite-Derived Metrics of Post-Fire Trajectories. Remote Sensing of Environment.
Marcos, B., Gonçalves, J., Alcaraz-Segura, D., et al. (2021). A Framework for Multi-Dimensional Assessment of Wildfire Disturbance Severity from Remotely Sensed Ecosystem Functioning Attributes. Remote Sensing.
Lopatin, J., Araya-López, R., & Dronova, I. (2026). Remotely Sensed Phenology Reveals Environmental and Management Controls on Coastal Wetland Plant Communities. Ecological Informatics.
Liu, L., Smith, J. R., Armstrong, A. H., et al. (2023). Influences of Satellite Sensor and Scale on Derivation of Ecosystem Functional Types and Diversity. Remote Sensing.
Liu, R., Huang, F., Ren, Y., et al. (2020). Characterizing Ecosystem Functional Type Patterns Based on Subtractive Fuzzy Cluster Means Using Sentinel-2 Time-Series Data. Journal of Applied Remote Sensing.
Lindborg, R., & Eriksson, O. (2005). Functional Response to Land Use Change in Grasslands: Comparing Species and Trait Data. Ecoscience.
Lee, S.-J., Berbery, E. H., & Alcaraz-Segura, D. (2013). The Impact of Ecosystem Functional Type Changes on the La Plata Basin Climate. Advances in Atmospheric Sciences.
Lara, B., Gandini, M., Gantes, P., et al. (2018). Regional Patterns of Ecosystem Functional Diversity in the Argentina Pampas Using MODIS Time-Series. Ecological Indicators.
Ivits, E., Cherlet, M., Mehl, W., et al. (2013). Ecosystem Functional Units Characterized by Satellite Observed Phenology and Productivity Gradients: A Case Study for Europe. Ecological Indicators.
Ivits, E., Cherlet, M., Horion, S., et al. (2013). Global Biogeographical Pattern of Ecosystem Functional Types Derived From Earth Observation Data. Remote Sensing.
Higgins, S. I., Buitenwerf, R., & Moncrieff, G. R. (2016). Defining Functional Biomes and Monitoring Their Change Globally. Global Change Biology.
Galleggo, F., Bagnato, C., Baeza, S., et al. (2024). Río de la Plata Grasslands: How Did Land-Cover and Ecosystem Functioning Change in the Twenty-First Century? South Brazilian Grasslands.
Diaz, S., & Cabido, M. (1997). Plant Functional Types and Ecosystem Function in Relation to Global Change. Journal of Vegetation Science.
Cazorla, B. P., Meijide, A., Cabello, J., et al. (2026). Satellite-Derived Ecosystem Functional Types Capture Ecosystem Functional Heterogeneity at Regional Scale. Biogeosciences.
Cazorla, B. P., Garcillán, P. P., Cabello, J., et al. (2021). Patterns of Ecosystem Functioning as a Tool for Biological Regionalization: The Case of the Mediterranean-Desert-Tropical Transition of Baja California. Mediterranean Botany.
Cazorla, B. P., Cabello, J., Peñas, J., et al. (2021). Incorporating Ecosystem Functional Diversity into Geographic Conservation Priorities Using Remotely Sensed Ecosystem Functional Types. Ecosystems.
Armstrong, A., Alcaraz-Segura, D., Raynolds, M., et al. (2024). Ecosystem Functional Types of the Circumpolar Arctic Tundra Based on the Seasonal Dynamics of Vegetation Productivity. Environmental Research: Ecology.
Arenas-Castro, S., Goncalves, J., Alves, P., et al. (2018). Assessing the Multi-Scale Predictive Ability of Ecosystem Functional Attributes for Species Distribution Modelling. PLoS ONE.
Alcaraz-Segura, D., Paruelo, J., Epstein, H. E., et al. (2013). Environmental and Human Controls of Ecosystem Functional Diversity in Temperate South America. Remote Sensing.
Alcaraz-Segura, D., Paruelo, J., & Cabello, J. (2006). Identification of Current Ecosystem Functional Types in the Iberian Peninsula. Global Ecology and Biogeography.
Townsend, P. A., Helmers, D. P., Kingdon, C. C., et al. (2009). Changes in the Extent of Surface Mining and Reclamation in the Central Appalachians Detected Using a 1976–2006 Landsat Time Series. Remote Sensing of Environment.
Titeux, N., Brotons, L., & Settele, J. (2019). Biodiversity Scenarios Neglect Future Land-Use Changes. Global Change Biology.
Titeux, N., Henle, K., Mihoub, J.-B., et al. (2017). Global Scenarios for Biodiversity Need to Better Integrate Climate and Land Use Change. Diversity and Distributions.
Cihlar, J. (2000). Land Cover Mapping of Large Areas from Satellites: Status and Research Priorities. International Journal of Remote Sensing.
Jax, K. (2005). Function and “Functioning” in Ecology: What Does It Mean? Oikos.
Gann, G. D., McDonald, T., Walder, B., et al. (2019). International Principles and Standards for the Practice of Ecological Restoration. Second Edition. Restoration Ecology.
Sariyildiz, O., Gyawali, B. R., Antonious, G. F., et al. (2024). Stream Chemistry and Forest Recovery Assessment and Prediction Modeling in Coal-Mine-Affected Watersheds in Kentucky, USA. Environments.
Christian, W. J., May, B., & Levy, J. E. (2023). Flood Fatalities in Eastern Kentucky and the Public Health Legacy of Mountaintop Removal Coal Mining. Journal of Maps.
Ross, M. R. V., Nippgen, F., McGlynn, B. L., et al. (2021). Mountaintop Mining Legacies Constrain Ecological, Hydrological and Biogeochemical Recovery Trajectories. Environmental Research Letters.
Zipper, C. E., Burger, J. A., Skousen, J. G., et al. (2011). Restoring Forests and Associated Ecosystem Services on Appalachian Coal Surface Mines. Environmental Management.
Ross, M. R. V., McGlynn, B. L., & Bernhardt, E. S. (2016). Deep Impact: Effects of Mountaintop Mining on Surface Topography, Bedrock Structure, and Downstream Waters. Environmental Science & Technology.
Maxwell, A. E., & Strager, M. P. (2013). Assessing Landform Alterations Induced by Mountaintop Mining. Natural Science.
Fritz, K. M., Fulton, S., Johnson, B. R., et al. (2010). Structural and Functional Characteristics of Natural and Constructed Channels Draining a Reclaimed Mountaintop Removal and Valley Fill Coal Mine. Journal of the North American Benthological Society.
Wickham, J., Wood, P. B., Nicholson, M. C., et al. (2013). The Overlooked Terrestrial Impacts of Mountaintop Mining. BioScience.
Wickham, J. D., Riitters, K. H., Wade, T. G., et al. (2007). The Effect of Appalachian Mountaintop Mining on Interior Forest. Landscape Ecology.
Maigret, T. A., Cox, J. J., & Yang, J. (2019). Persistent Geophysical Effects of Mining Threaten Ridgetop Biota of Appalachian Forests. Frontiers in Ecology and the Environment.
Wood, P. B., & Williams, J. M. (2013). Impact of Valley Fills on Streamside Salamanders in Southern West Virginia. Journal of Herpetology.
Pond, G. J., Passmore, M. E., Borsuk, F. A., et al. (2008). Downstream Effects of Mountaintop Coal Mining: Comparing Biological Conditions Using Family- and Genus-Level Macroinvertebrate Bioassessment Tools. Journal of the North American Benthological Society.
Griffith, M. B., Norton, S. B., Alexander, L. C., et al. (2012). The Effects of Mountaintop Mines and Valley Fills on the Physicochemical Quality of Stream Ecosystems in the Central Appalachians: A Review. Science of the Total Environment.
Bernhardt, E. S., & Palmer, M. A. (2011). The Environmental Costs of Mountaintop Mining Valley Fill Operations for Aquatic Ecosystems of the Central Appalachians. Annals of the New York Academy of Sciences.
Hartman, K. J., Kaller, M. D., Howell, J. W., et al. (2005). How Much Do Valley Fills Influence Headwater Streams? Hydrobiologia.
Zullig, K. J., & Hendryx, M. (2011). Health-Related Quality of Life among Central Appalachian Residents in Mountaintop Mining Counties. American Journal of Public Health.
Surber, S. J., & Simonton, D. S. (2017). Disparate Impacts of Coal Mining and Reclamation Concerns for West Virginia and Central Appalachia. Resources Policy.
Hendryx, M., Fedorko, E., & Anesetti-Rothermel, A. (2010). A Geographical Information System-Based Analysis of Cancer Mortality and Population Exposure to Coal Mining Activities in West Virginia, United States of America. Geospatial Health.
Voss, K. A., & Bernhardt, E. S. (2017). Effects of Mountaintop Removal Coal Mining on the Diversity and Secondary Productivity of Appalachian Rivers. Limnology and Oceanography.
Nippgen, F., Ross, M. R. V., Bernhardt, E. S., et al. (2017). Creating a More Perennial Problem? Mountaintop Removal Coal Mining Enhances and Sustains Saline Baseflows of Appalachian Watersheds. Environmental Science & Technology.
Pericak, A. A., Thomas, C. J., Kroodsma, D. A., et al. (2018). Mapping the Yearly Extent of Surface Coal Mining in Central Appalachia Using Landsat and Google Earth Engine. PLOS ONE.
Evans, M. J., Kay, K., Proctor, C., et al. (2021). Linking Mountaintop Removal Mining to Water Quality for Imperiled Species Using Satellite Data. Environmental Research Letters.
Naslund, L. C., Gerson, J. R., et al. (2020). Contaminant Subsidies to Riparian Food Webs in Appalachian Streams Impacted by Mountaintop Removal Coal Mining. Environmental Science & Technology.
Lindberg, T. T., Bernhardt, E. S., Bier, R., et al. (2011). Cumulative Impacts of Mountaintop Mining on an Appalachian Watershed. Proceedings of the National Academy of Sciences.
Thomas, C. J., Shriver, R. K., Nippgen, F., et al. (2023). Mines to Forests? Analyzing Long-Term Recovery Trends for Surface Coal Mines in Central Appalachia. Restoration Ecology.
Cazorla, B. P., Cabello, J., Reyes, A., et al. (2023). A Remote-Sensing-Based Dataset to Characterize the Ecosystem Functioning and Functional Diversity in the Biosphere Reserve of the Sierra Nevada (Southeastern Spain). Earth System Science Data.
No papers tagged [remote sensing] here.
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