Drought in the Southern United States over the 20th century: variability and its impacts on terrestrial ecosystem productivity and carbon storage

Chen, Guangsheng; Tian, Hanqin; Zhang, Chi; Liu, Mingliang; Ren, Wei; Zhu, Wenquan; Chappelka, Arthur H.; Lockaby, Graeme

doi:10.1007/s10584-012-0410-z

Cited by 101 publications

(64 citation statements)

References 36 publications

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“…The main difference can be found in the water cycle module, which simulates the dynamics of inundated surface water extent and water table position Liu et al, 2012. The new water cycle module uses components of previously published models, TOPMODEL (Topography based hydrological model; Beven and Kirkby, 1979), SIMTOP (Simple TOPMODEL; Niu et al, 2005) and CLM (Oleson et al, 2008), to improve its soil and surface water dynamics (Liu et al, 2012).…”

Section: Wetchimp Set-upmentioning

confidence: 99%

Present state of global wetland extent and wetland methane modelling: methodology of a model inter-comparison project (WETCHIMP)

Wania

Melton²,

Hodson³

et al. 2013

Geosci. Model Dev.

187

180

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Abstract. The Wetland and Wetland CH 4 Intercomparison of Models Project (WETCHIMP) was created to evaluate our present ability to simulate large-scale wetland characteristics and corresponding methane (CH 4 ) emissions. A multi-model comparison is essential to evaluate the key uncertainties in the mechanisms and parameters leading to methane emissions. Ten modelling groups joined WETCHIMP to run eight global and two regional models with a common experimental protocol using the same climate and atmospheric carbon dioxide (CO 2 ) forcing datasets. We reported the main conclusions from the intercomparison effort in a companion paper (Melton et al., 2013). Here we provide technical details for the six experiments, which included an equilibrium, a transient, and an optimized run plus three sensitivity experiments (temperature, precipitation, and atmospheric CO 2 concentration). The diversity of approaches used by the models is summarized through a series of conceptual figures, and is used to evaluate the wide range of wetland extent and CH 4 fluxes predicted by the models in the equilibrium run. We discuss relationships among the various approaches and patterns in consistencies of these model predictions. Within this group of models, there are three broad classes of methods used to estimate wetland extent: prescribed based on wetland distribution maps, prognostic relationships between hydrological states based on satellite observations, and explicit hydrological mass balances. A larger variety of approaches was used to estimate the net CH 4 fluxes from wetland systems. Even though modelling of wetland extent and CH 4 emissions has progressed significantly over recent decades, large uncertainties still exist when estimating CH 4 emissions: there is little consensus on model structure or complexity due to knowledge gaps, different aims of the models, and the range of temporal and spatial resolutions of the models.

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Section: Wetchimp Set-upmentioning

confidence: 99%

Present state of global wetland extent and wetland methane modelling: methodology of a model inter-comparison project (WETCHIMP)

Wania

Melton²,

Hodson³

et al. 2013

Geosci. Model Dev.

187

180

View full text Add to dashboard Cite

show abstract

“…Forest ecosystems are often disturbed by physically induced (e.g., drought, fire) and human-induced (e.g., selective logging, clear-cutting) factors, resulting in high uncertainty in forest carbon budget estimation [1][2][3][4]. Due to high forest coverage and relatively young forest ages, the subtropical region of China has become an important carbon sink [5] and has played an important role in the global carbon budget [6].…”

Section: Introductionmentioning

confidence: 99%

Examining Forest Disturbance and Recovery in the Subtropical Forest Region of Zhejiang Province Using Landsat Time-Series Data

Liu

Wei

et al. 2017

Remote Sensing

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Detection of forest disturbance and recovery has received much attention during the last two decades due to its important influence on forest carbon budget estimation. This research used Landsat time-series data from 1984 to 2015 to examine forest disturbance and recovery in a subtropical region of eastern Zhejiang Province, China, through the LandTrendr algorithm. Field inventory data and high spatial resolution images were used to evaluate the disturbance and recovery results. This research indicates that high producer and user accuracies for both disturbance and recovery classes were obtained and three levels of disturbance and recovery each can be detected. Through incorporation of climate data and disturbance results, drought events also can be successfully detected. More research is needed to incorporate multisource data for detection of forest disturbance types in subtropical regions.

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“…Our study indicated that timber production could significantly result in changes in forest cover and other related land use types. Although the increase of forest cover has increased timber production, water consumption by trees will probably become a concern in this region, especially because some studies suggested that Southeast U.S. will experience more severe droughts in the future [27,28]. As a result, it is necessary for land use policy makers to consider the impacts of forest cover change on water cycling, particularly when future climate scenarios are involved in land use policy making.…”

Section: Implications For Land Use Policy Makersmentioning

confidence: 99%

Monitoring Land-Use and Land-Cover Change in the Eastern Gulf Coastal Plain 3 using Multi- temporal Landsat imagery

Li¹

2013

J Geophys Remote Sens

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Drought in the Southern United States over the 20th century: variability and its impacts on terrestrial ecosystem productivity and carbon storage

Cited by 101 publications

References 36 publications

Present state of global wetland extent and wetland methane modelling: methodology of a model inter-comparison project (WETCHIMP)

Present state of global wetland extent and wetland methane modelling: methodology of a model inter-comparison project (WETCHIMP)

Examining Forest Disturbance and Recovery in the Subtropical Forest Region of Zhejiang Province Using Landsat Time-Series Data

Monitoring Land-Use and Land-Cover Change in the Eastern Gulf Coastal Plain 3 using Multi- temporal Landsat imagery

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