Monitoring long-term riparian vegetation trends to inform local habitat management in a mountainous environment

Riparian ecosystems provide critical habitat for many species, yet assessment of vegetation condition at local scales is difficult to measure when considering large areas over long time periods. We present a framework to map and monitor two deciduous cover types, upland and riparian, occupying a sma...

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Autores principales:	Timothy J. Assal, Valerie A. Steen, Todd Caltrider, Travis Cundy, Cheyenne Stewart, Nicholas Manning, Patrick J. Anderson
Formato:	article
Lenguaje:	EN
Publicado:	Elsevier 2021
Materias:	Riparian vegetation Long-term habitat monitoring Scale NDVI time series randomForest Trend analysis Ecology QH540-549.5
Acceso en línea:	https://doaj.org/article/a0002cd245364b098e2bda7b1956279d
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spelling	oai:doaj.org-article:a0002cd245364b098e2bda7b1956279d2021-12-01T04:53:50ZMonitoring long-term riparian vegetation trends to inform local habitat management in a mountainous environment1470-160X10.1016/j.ecolind.2021.107807https://doaj.org/article/a0002cd245364b098e2bda7b1956279d2021-08-01T00:00:00Zhttp://www.sciencedirect.com/science/article/pii/S1470160X21004726https://doaj.org/toc/1470-160XRiparian ecosystems provide critical habitat for many species, yet assessment of vegetation condition at local scales is difficult to measure when considering large areas over long time periods. We present a framework to map and monitor two deciduous cover types, upland and riparian, occupying a small fraction of an expansive, mountainous landscape in north-central Wyoming. Initially, we developed broad-scale predictions of predominant woody vegetation types by integrating Landsat data into species distribution models and combining subsequent outputs into a synthesis map. Then, we evaluated a 35-year Landsat time series (1985–2019) using the Mann-Kendall test to identify significant trends in the condition of upland and riparian deciduous vegetation and assessed the rate and direction of change using the Theil-Sen estimator. Finally, we used plot level data to assess the utility of the framework to detect bottom-up controls (ungulate browse pressure and management actions) on vegetation condition. The synthesis map had an overall correct classification rate of 87% and field data indicated deciduous vegetation within 45 m of coniferous forest faces increased pressure of conifer expansion. The trend assessment identified consistent patterns operating at the landscape scale across both upland and riparian deciduous vegetation; a predominant greening trend was observed for 12 years followed by a 9-year browning trend, before switching back to a greening trend for the last 13 years of the study. Our results indicate trends are driven by the climate of the measurement period at the landscape scale. Although we did not find conclusive evidence to establish a strong link between browse pressure and satellite data, we highlight examples where prevailing trends can be overridden by local disturbance or management intervention. This framework is transferable to other understudied riparian environments throughout western North America to provide insight on ecohydrological processes and assess global and local stressors across broad spatiotemporal scales.Timothy J. AssalValerie A. SteenTodd CaltriderTravis CundyCheyenne StewartNicholas ManningPatrick J. AndersonElsevierarticleRiparian vegetationLong-term habitat monitoringScaleNDVI time seriesrandomForestTrend analysisEcologyQH540-549.5ENEcological Indicators, Vol 127, Iss , Pp 107807- (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Riparian vegetation Long-term habitat monitoring Scale NDVI time series randomForest Trend analysis Ecology QH540-549.5
spellingShingle	Riparian vegetation Long-term habitat monitoring Scale NDVI time series randomForest Trend analysis Ecology QH540-549.5 Timothy J. Assal Valerie A. Steen Todd Caltrider Travis Cundy Cheyenne Stewart Nicholas Manning Patrick J. Anderson Monitoring long-term riparian vegetation trends to inform local habitat management in a mountainous environment
description	Riparian ecosystems provide critical habitat for many species, yet assessment of vegetation condition at local scales is difficult to measure when considering large areas over long time periods. We present a framework to map and monitor two deciduous cover types, upland and riparian, occupying a small fraction of an expansive, mountainous landscape in north-central Wyoming. Initially, we developed broad-scale predictions of predominant woody vegetation types by integrating Landsat data into species distribution models and combining subsequent outputs into a synthesis map. Then, we evaluated a 35-year Landsat time series (1985–2019) using the Mann-Kendall test to identify significant trends in the condition of upland and riparian deciduous vegetation and assessed the rate and direction of change using the Theil-Sen estimator. Finally, we used plot level data to assess the utility of the framework to detect bottom-up controls (ungulate browse pressure and management actions) on vegetation condition. The synthesis map had an overall correct classification rate of 87% and field data indicated deciduous vegetation within 45 m of coniferous forest faces increased pressure of conifer expansion. The trend assessment identified consistent patterns operating at the landscape scale across both upland and riparian deciduous vegetation; a predominant greening trend was observed for 12 years followed by a 9-year browning trend, before switching back to a greening trend for the last 13 years of the study. Our results indicate trends are driven by the climate of the measurement period at the landscape scale. Although we did not find conclusive evidence to establish a strong link between browse pressure and satellite data, we highlight examples where prevailing trends can be overridden by local disturbance or management intervention. This framework is transferable to other understudied riparian environments throughout western North America to provide insight on ecohydrological processes and assess global and local stressors across broad spatiotemporal scales.
format	article
author	Timothy J. Assal Valerie A. Steen Todd Caltrider Travis Cundy Cheyenne Stewart Nicholas Manning Patrick J. Anderson
author_facet	Timothy J. Assal Valerie A. Steen Todd Caltrider Travis Cundy Cheyenne Stewart Nicholas Manning Patrick J. Anderson
author_sort	Timothy J. Assal
title	Monitoring long-term riparian vegetation trends to inform local habitat management in a mountainous environment
title_short	Monitoring long-term riparian vegetation trends to inform local habitat management in a mountainous environment
title_full	Monitoring long-term riparian vegetation trends to inform local habitat management in a mountainous environment
title_fullStr	Monitoring long-term riparian vegetation trends to inform local habitat management in a mountainous environment
title_full_unstemmed	Monitoring long-term riparian vegetation trends to inform local habitat management in a mountainous environment
title_sort	monitoring long-term riparian vegetation trends to inform local habitat management in a mountainous environment
publisher	Elsevier
publishDate	2021
url	https://doaj.org/article/a0002cd245364b098e2bda7b1956279d
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Monitoring long-term riparian vegetation trends to inform local habitat management in a mountainous environment

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