Monitoring pinyon-juniper cover and aboveground biomass across the Great Basin
Since the mid-1800s pinyon-juniper (PJ) woodlands have been encroaching into sagebrush-steppe shrublands and grasslands such that they now comprise 40% of the total forest and woodland area of the Intermountain West of the United States. More recently, PJ ecosystems in select areas have experienced...
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Format: | Article |
Language: | English |
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IOP Publishing
2020-01-01
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Series: | Environmental Research Letters |
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Online Access: | https://doi.org/10.1088/1748-9326/ab6785 |
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author | Steven K Filippelli Michael J Falkowski Andrew T Hudak Patrick A Fekety Jody C Vogeler Azad Henareh Khalyani Benjamin M Rau Eva K Strand |
author_facet | Steven K Filippelli Michael J Falkowski Andrew T Hudak Patrick A Fekety Jody C Vogeler Azad Henareh Khalyani Benjamin M Rau Eva K Strand |
author_sort | Steven K Filippelli |
collection | DOAJ |
description | Since the mid-1800s pinyon-juniper (PJ) woodlands have been encroaching into sagebrush-steppe shrublands and grasslands such that they now comprise 40% of the total forest and woodland area of the Intermountain West of the United States. More recently, PJ ecosystems in select areas have experienced dramatic reductions in area and biomass due to extreme drought, wildfire, and management. Due to the vast area of PJ ecosystems, tracking these changes in woodland tree cover is essential for understanding their consequences for carbon accounting efforts, as well as ecosystem structure and functioning. Here we present a carbon monitoring, reporting, and verification (MRV) system for characterizing total aboveground biomass stocks and flux of PJ ecosystems across the Great Basin. This is achieved through a two-stage remote sensing approach by first using spatial wavelet analysis to rapidly sample tree cover from very high-resolution imagery (1 m), and then training a Random Forest model which maps tree cover across the region from 2000 to 2016 using temporally-segmented Landsat spectral indices obtained from the LandTrendr algorithm in Google Earth Engine. Estimates of cover were validated against field data from the SageSTEP project ( R ^2 = 0.67, RMSE = 10% cover). Biomass estimated from cover-based allometry was higher than estimates from the Forest Inventory and Analysis Program (FIA) at the plot-level (bias = 5 Mg ha ^−1 and RMSE = 15.5 Mg ha ^−1 ) due in part to differences in tree-level biomass allometrics. County-level aggregation of biomass closely matched estimates from the FIA ( R ^2 = 0.97) after correcting for bias at the plot level. Even after many previous decades of encroachment, we find forest area (i.e. areas with ≥10% cover) increasing at a steady rate of 0.46% per year, but 80% of the 9.86 Tg increase in biomass is attributable to infilling of existing forest. This suggests that the known consequences of encroachment such as reduced water availability, impacts to biodiversity, and risk of severe wildfire may have been increasing across the region in recent years despite the actions of sagebrush steppe restoration initiatives. |
first_indexed | 2024-03-12T15:52:38Z |
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institution | Directory Open Access Journal |
issn | 1748-9326 |
language | English |
last_indexed | 2024-03-12T15:52:38Z |
publishDate | 2020-01-01 |
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series | Environmental Research Letters |
spelling | doaj.art-367c4198cfdc4ad4bbf200681de38d092023-08-09T15:03:16ZengIOP PublishingEnvironmental Research Letters1748-93262020-01-0115202500410.1088/1748-9326/ab6785Monitoring pinyon-juniper cover and aboveground biomass across the Great BasinSteven K Filippelli0https://orcid.org/0000-0001-7291-0888Michael J Falkowski1Andrew T Hudak2https://orcid.org/0000-0001-7480-1458Patrick A Fekety3Jody C Vogeler4https://orcid.org/0000-0002-3639-8984Azad Henareh Khalyani5https://orcid.org/0000-0003-1963-9384Benjamin M Rau6https://orcid.org/0000-0003-4737-8986Eva K Strand7https://orcid.org/0000-0003-3968-6671Natural Resource Ecology Laboratory, Colorado State University , Fort Collins, CO 80523-1499, United States of AmericaNatural Resource Ecology Laboratory, Colorado State University , Fort Collins, CO 80523-1499, United States of AmericaUSDA Forest Service, Rocky Mountain Research Station, Forestry Sciences Laboratory, Moscow, ID 83843, United States of AmericaNatural Resource Ecology Laboratory, Colorado State University , Fort Collins, CO 80523-1499, United States of AmericaNatural Resource Ecology Laboratory, Colorado State University , Fort Collins, CO 80523-1499, United States of AmericaDepartment of Agriculture and Environmental Science, Lincoln University , Jefferson City, MO 65101, United States of AmericaUSGS New England Water Science Center, Northborough, MA 01532 United States of AmericaDepartment of Forest, Rangeland, and Fire Sciences, University of Idaho , Moscow, ID 83844-1135, United States of AmericaSince the mid-1800s pinyon-juniper (PJ) woodlands have been encroaching into sagebrush-steppe shrublands and grasslands such that they now comprise 40% of the total forest and woodland area of the Intermountain West of the United States. More recently, PJ ecosystems in select areas have experienced dramatic reductions in area and biomass due to extreme drought, wildfire, and management. Due to the vast area of PJ ecosystems, tracking these changes in woodland tree cover is essential for understanding their consequences for carbon accounting efforts, as well as ecosystem structure and functioning. Here we present a carbon monitoring, reporting, and verification (MRV) system for characterizing total aboveground biomass stocks and flux of PJ ecosystems across the Great Basin. This is achieved through a two-stage remote sensing approach by first using spatial wavelet analysis to rapidly sample tree cover from very high-resolution imagery (1 m), and then training a Random Forest model which maps tree cover across the region from 2000 to 2016 using temporally-segmented Landsat spectral indices obtained from the LandTrendr algorithm in Google Earth Engine. Estimates of cover were validated against field data from the SageSTEP project ( R ^2 = 0.67, RMSE = 10% cover). Biomass estimated from cover-based allometry was higher than estimates from the Forest Inventory and Analysis Program (FIA) at the plot-level (bias = 5 Mg ha ^−1 and RMSE = 15.5 Mg ha ^−1 ) due in part to differences in tree-level biomass allometrics. County-level aggregation of biomass closely matched estimates from the FIA ( R ^2 = 0.97) after correcting for bias at the plot level. Even after many previous decades of encroachment, we find forest area (i.e. areas with ≥10% cover) increasing at a steady rate of 0.46% per year, but 80% of the 9.86 Tg increase in biomass is attributable to infilling of existing forest. This suggests that the known consequences of encroachment such as reduced water availability, impacts to biodiversity, and risk of severe wildfire may have been increasing across the region in recent years despite the actions of sagebrush steppe restoration initiatives.https://doi.org/10.1088/1748-9326/ab6785pinyon-juniperwoodlandaboveground biomasscanopy coverencroachmentGreat Basin |
spellingShingle | Steven K Filippelli Michael J Falkowski Andrew T Hudak Patrick A Fekety Jody C Vogeler Azad Henareh Khalyani Benjamin M Rau Eva K Strand Monitoring pinyon-juniper cover and aboveground biomass across the Great Basin Environmental Research Letters pinyon-juniper woodland aboveground biomass canopy cover encroachment Great Basin |
title | Monitoring pinyon-juniper cover and aboveground biomass across the Great Basin |
title_full | Monitoring pinyon-juniper cover and aboveground biomass across the Great Basin |
title_fullStr | Monitoring pinyon-juniper cover and aboveground biomass across the Great Basin |
title_full_unstemmed | Monitoring pinyon-juniper cover and aboveground biomass across the Great Basin |
title_short | Monitoring pinyon-juniper cover and aboveground biomass across the Great Basin |
title_sort | monitoring pinyon juniper cover and aboveground biomass across the great basin |
topic | pinyon-juniper woodland aboveground biomass canopy cover encroachment Great Basin |
url | https://doi.org/10.1088/1748-9326/ab6785 |
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