Multidate, multisensor remote sensing reveals high density of carbon‐rich mountain peatlands in the páramo of Ecuador

Tropical peatlands store a significant portion of the global soil carbon (C) pool. However, tropical mountain peatlands contain extensive peat soils that have yet to be mapped or included in global C estimates. This lack of data hinders our ability to inform policy and apply sustainable management practices to these peatlands that are experiencing unprecedented high rates of land use and land cover change. Rapid large‐scale mapping activities are urgently needed to quantify tropical wetland extent and rate of degradation. We tested a combination of multidate, multisensor radar and optical imagery (Landsat TM/PALSAR/RADARSAT‐1/TPI image stack) for detecting peatlands in a 2715 km2 area in the high elevation mountains of the Ecuadorian páramo. The map was combined with an extensive soil coring data set to produce the first estimate of regional peatland soil C storage in the páramo. Our map displayed a high coverage of peatlands (614 km2) containing an estimated 128.2 ± 9.1 Tg of peatland belowground soil C within the mapping area. Scaling‐up to the country level, páramo peatlands likely represent less than 1% of the total land area of Ecuador but could contain as much as ~23% of the above‐ and belowground vegetation C stocks in Ecuadorian forests. These mapping approaches provide an essential methodological improvement applicable to mountain peatlands across the globe, facilitating mapping efforts in support of effective policy and sustainable management, including national and global C accounting and C management efforts.

[1]  J. A. Schell,et al.  Monitoring vegetation systems in the great plains with ERTS , 1973 .

[2]  Roger M. Hoffer,et al.  Synergistic effects of combined Landsat-TM and SIR-B data for forest resources assessment , 1993 .

[3]  M. F. Augusteijn,et al.  Wetland classification using optical and radar data and neural network classification , 1998 .

[4]  B. D. Wheeler,et al.  Ecological gradients, subdivisions and terminology of north‐west European mires , 2000 .

[5]  Andrew D. Weiss Topographic position and landforms analysis , 2001 .

[6]  P. Sklenář,et al.  Rain-Shadow in the High Andes of Ecuador Evidenced by Páramo Vegetation , 2003 .

[7]  Leo Breiman,et al.  Random Forests , 2001, Machine Learning.

[8]  S. Fritz,et al.  A land cover map of South America , 2004 .

[9]  Wouter Buytaert,et al.  Human impact on the hydrology of the Andean páramos , 2006 .

[10]  H. Diaz,et al.  Threats to Water Supplies in the Tropical Andes , 2006, Science.

[11]  Zong-Liang Yang,et al.  Future precipitation changes and their implications for tropical peatlands , 2007 .

[12]  Olivier Merlin,et al.  Dry‐end surface soil moisture variability during NAFE'06 , 2007 .

[13]  Richard A. Fournier,et al.  An object-based method to map wetland using RADARSAT-1 and Landsat ETM images: test case on two sites in Quebec, Canada , 2007 .

[14]  Ridha Touzi,et al.  Wetland characterization using polarimetric RADARSAT-2 capability , 2007 .

[15]  S. Wunder,et al.  Reducing forest emissions in the Amazon Basin: a review of drivers of land-use change and how payments for environmental services (PES) schemes can affect them , 2008 .

[16]  R. Chimner,et al.  Long-term carbon accumulation in two tropical mountain peatlands, Andes Mountains, Ecuador , 2008 .

[17]  C. Lubritto,et al.  The Holocene treeline in the northern Andes (Ecuador): First evidence from soil charcoal , 2008 .

[18]  P. Alexander,et al.  Peat in horticulture and conservation: the UK response to a changing world , 2008 .

[19]  Laura L. Bourgeau-Chavez,et al.  Improving Wetland Characterization with Multi-Sensor, Multi-Temporal SAR and Optical/Infrared Data Fusion , 2009 .

[20]  Mahta Moghaddam,et al.  Mapping vegetated wetlands of Alaska using L-band radar satellite imagery , 2009 .

[21]  B. Markham,et al.  Summary of Current Radiometric Calibration Coefficients for Landsat MSS, TM, ETM+, and EO-1 ALI Sensors , 2009 .

[22]  M. Vuille,et al.  Climate change projections for the tropical Andes using a regional climate model: Temperature and precipitation simulations for the end of the 21st century , 2009 .

[23]  Eric S. Kasischke,et al.  Effects of soil moisture and water depth on ERS SAR backscatter measurements from an Alaskan wetland complex. , 2009 .

[24]  D. Lindenmayer,et al.  Estimating carbon carrying capacity in natural forest ecosystems across heterogeneous landscapes: addressing sources of error , 2009 .

[25]  Lisa-Maria Rebelo,et al.  Eco-Hydrological Characterization of Inland Wetlands in Africa Using L-Band SAR , 2010, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

[26]  G. Powell,et al.  High-resolution forest carbon stocks and emissions in the Amazon , 2010, Proceedings of the National Academy of Sciences.

[27]  A. Vogel,et al.  Patterns and gradients of diversity in South Patagonian ombrotrophic peat bogs , 2010 .

[28]  Jun Hu,et al.  Preliminary study on land use classification based on multi-source remotely sensed data fusion technology , 2010, 2010 The 2nd Conference on Environmental Science and Information Application Technology.

[29]  J. Loisel,et al.  Global peatland dynamics since the Last Glacial Maximum , 2010 .

[30]  D. Cooper,et al.  Mountain Fen Distribution, Types and Restoration Priorities, San Juan Mountains, Colorado, USA , 2010, Wetlands.

[31]  Christopher J. Banks,et al.  Global and regional importance of the tropical peatland carbon pool , 2011 .

[32]  F. M. Chambers,et al.  Considerations for the preparation of peat samples for palynology, and for the counting of pollen and non-pollen palynomorphs , 2011 .

[33]  Zicheng Yu,et al.  Methods for determining peat humification and for quantifying peat bulk density, organic matter and carbon content for palaeostudies of climate and peatland carbon dynamics. , 2011 .

[34]  T. Gumbricht Mapping global tropical wetlands from earth observing satellite imagery , 2012 .

[35]  Peter M. Jørgensen,et al.  Evaluación del estado de conservación de los bosques montanos en los Andes tropicales , 2012 .

[36]  Wouter Buytaert,et al.  Water for cities: The impact of climate change and demographic growth in the tropical Andes , 2012 .

[37]  C. Mantyka‐Pringle,et al.  Interactions between climate and habitat loss effects on biodiversity: a systematic review and meta‐analysis , 2012 .

[38]  A. Roy,et al.  Hydromorphological implications of local tributary widening for river rehabilitation , 2012 .

[39]  François Charbonneau,et al.  Assessment of polarimetric SAR data for discrimination between wet versus dry soil moisture conditions , 2013 .

[40]  C. Woodcock,et al.  Making better use of accuracy data in land change studies: Estimating accuracy and area and quantifying uncertainty using stratified estimation , 2013 .

[41]  C. Perry,et al.  Developing and Evaluating Rapid Field Methods to Estimate Peat Carbon , 2014, Wetlands.

[42]  Francesco Holecz,et al.  Impact of Topographic Correction on Estimation of Aboveground Boreal Biomass Using Multi-temporal, L-Band Backscatter , 2014, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

[43]  Edward T. A. Mitchard,et al.  The distribution and amount of carbon in the largest peatland complex in Amazonia , 2014 .

[44]  René R. Colditz,et al.  Land Cover Mapping of a Tropical Region by Integrating Multi-Year Data into an Annual Time Series , 2015, Remote. Sens..

[45]  Zachary M. Laubach,et al.  Great Lakes Coastal Wetland Mapping , 2015 .

[46]  D. Cooper,et al.  Carbon storage and long-term rate of accumulation in high-altitude Andean peatlands of Bolivia , 2015 .

[47]  Mahta Moghaddam,et al.  Mapping the State and Dynamics of Boreal Wetlands Using Synthetic Aperture Radar , 2015 .

[48]  Michael Battaglia,et al.  Development of a Bi-National Great Lakes Coastal Wetland and Land Use Map Using Three-Season PALSAR and Landsat Imagery , 2015, Remote. Sens..

[49]  M. Quinones,et al.  Detection and characterizacion of Colombian wetlands using Alos Palsar and MODIS imagery , 2015 .

[50]  Temporal variaTion of climaTe in The high-elevaTion páramo of anTisana , 2015 .

[51]  R. Célleri,et al.  Runoff from tropical alpine grasslands increases with areal extent of wetlands , 2015 .

[52]  A. Grootjans,et al.  Fen Mires with cushion plants in Bale Mountains Ethiopia, Mires and Peat 15: 1-10. , 2015 .

[53]  Peatland carbon stocks and accumulation rates in the Ecuadorian páramo , 2016, Wetlands Ecology and Management.

[54]  Eric S. Kasischke,et al.  Mapping boreal peatland ecosystem types from multitemporal radar and optical satellite imagery , 2017 .

[55]  R. Chimner,et al.  Estimating belowground carbon stocks in peatlands of the Ecuadorian páramo using ground‐penetrating radar (GPR) , 2017 .

[56]  Edward T. A. Mitchard,et al.  Age, extent and carbon storage of the central Congo Basin peatland complex , 2017, Nature.