Modelling Wetland Growing Season Rainfall Interception Losses Based on Maximum Canopy Storage Measurements

Ciężkowski, Wojciech; Berezowski, Tomasz; Kleniewska, Małgorzata; Szporak-Wasilewska, Sylwia; Chormański, Jarosław

doi:10.20944/preprints201712.0095.v1

Cited by 4 publications

(5 citation statements)

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“…Reports on throughfall, stemflow, or interception in swamps are limited to inclusion in larger upland community studies (Bryant et al, ; Morris, Gordon, & Gordon, ). Recently, Ciężkowski, Berezowski, Kleniewska, Szporak‐Wasilewska, and Chormański () modelled interception in herbaceous wetlands to average 13% based on measurements of canopy water‐holding capacity, but direct measurements of the process of rainfall transmission through temperate swamp canopies have not been made. This study investigates the role of the stand structure in a temperate mixed coniferous‐deciduous cedar swamp on rainfall partitioning and carbon and nitrogen flux to the swamp floor.…”

Section: Introductionmentioning

confidence: 99%

Rainfall partitioning through a mixed cedar swamp and associated C and N fluxes in Southern Ontario, Canada

Duval

2019

Hydrological Processes

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Partitioning of rainfall through a forest canopy into throughfall, stemflow, and canopy interception is a critical process in the water cycle, and the contact of precipitation with vegetated surfaces leads to increased delivery of solutes to the forest floor. This study investigates the rainfall partitioning over a growing season through a temperate, riparian, mixed coniferous-deciduous cedar swamp, an ecosystem not well studied with respect to this process. Seasonal throughfall, stemflow, and interception were 69.2%, 1.5%, and 29.3% of recorded above-canopy precipitation, respectively.Event throughfall ranged from a low of 31.5 ± 6.8% for a small 0.8-mm event to a high of 82.9 ± 2.4% for a large 42.7-mm event. Rain fluxes of at least 8 mm were needed to generate stemflow from all instrumented trees. Most trees had funnelling ratios <1.0, with an exponential decrease in funnelling ratio with increasing tree size.Despite this, stand-scale funnelling ratios averaged 2.81 ± 1.73, indicating equivalent depth of water delivered across the swamp floor by stemflow was greater than incident precipitation. Throughfall dissolved organic carbon (DOC) and total dissolved nitrogen (TDN) averaged 26.60 ± 2.96 and 2.02 ± 0.16 mg L −1 , respectively, which were~11 and three times above-canopy rain levels. Stemflow DOC averaged 73.33 ± 7.43 mg L −1 , 35 times higher than precipitation, and TDN was 4.45 ± 0.56 mg L −1 , 7.5 times higher than rain. Stemflow DOC concentration was highest from Populus balsamifera and TDN greatest from Thuja occidentalis trees.Although total below-canopy flux of TDN increased with increasing event size, DOC flux was greatest for events 20-30 mm, suggesting a canopy storage threshold of DOC was readily diluted. In addition to documenting rainfall partitioning in a novel ecosystem, this study demonstrates the excess carbon and nitrogen delivered to riparian swamps, suggesting the assimilative capacity of these zones may be underestimated.

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Section: Introductionmentioning

confidence: 99%

Rainfall partitioning through a mixed cedar swamp and associated C and N fluxes in Southern Ontario, Canada

Duval

2019

Hydrological Processes

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“…For the images with small number of cloudy pixels (e.g. 3,9,12,15,16,17) standard deviation is lower than for images with more low quality pixels (1,5,10,13,14).…”

Section: Temporal Changes Of the Cwsimentioning

confidence: 92%

“…The area is also covered by Caricion lasiocarpae, Molinio-Arrhenatheretea, as well as Phragmitetum communities that grow along the Biebrza River. In sections of the valley abandoned by agriculture, as it is typical of natural river valleys with wetland vegetation, sedges will form in hummock patterns [9].…”

Section: A Study Sitementioning

confidence: 99%

“…At the local scale, wetlands stop sediments, remove water pollution, retain water, and much more [3]. At the watershed scale, wetlands fulfil an important hydrological function by having a significant impact on different components of the watershed water balance such as snow retention [4], flood retention [5], [6], evapotranspiration [7], [8], and interception [9], [10]. At the global scale, wetlands control the global carbon cycle by accumulating a significant amount of organic carbon [11], [12] and regulate the regional climate [13].…”

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Thermal and Optical Indices for Wetland Habitats, are They Showing the Same Thing?

Ciężkowski

Kleniewska

Chormański

2020

IEEE J. Sel. Top. Appl. Earth Observations Remote Sensing

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This study is focused on detecting vegetation stress in natural and semi-natural riparian wetland ecosystems. Wetland ecosystems play an important role at the local and global scale. They provide various ecosystem services as long as they are in good condition. The global climate change influence a local environment, in which wetlands health become an indicator of drought conditions. Persisting adverse conditions might lead to the irreversible changes in these precious ecosystems. Hence, modern methods for the monitoring of these ecosystems are required to be developed. In scope of this study, based on basic meteorological elements (air temperature and humidity) and canopy temperature from two different platforms (meteorological tower and Landsat-8 satellite) Crop Water Stress Index (CWSI) was proposed for riparian wetland habitats and wet meadows monitoring. Study was conducted in the Upper Biebrza Basin (NE Poland). As a first step, CWSI was calculated based on meteorological measurements and compared with CWSI calculated for surrounding Landsat-8 pixels covered by the same land use type as one being in the tower sensor field of view. CWSI from both sensors were in significant agreement. In the second step of the analysis, CWSI and selected optical indices were calculated for longer period based on satellite data. Those indices were compared to test if they indicate the same conditions, or if their indications are inconsistent. Results show that CWSI and optical indices indicate different plant stress factors. Hence, for proper wetlands condition assessment still more research is required to properly assess their conditions and its causes. Index Terms-environmental monitoring, earth observing system land surface temperature, remote sensing, wetlands. I. INTRODUCTION ETLAND ecosystems providing various important ecosystem services at different spatial scales. Despite of their land small coverage (from 2% to 6% of lands depending on the definition) they are an important provider of

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“…These processes also consequently results in the reduction of the wetlands water capacity and the increase in air content in soil and its temperature result in increased CO2 emission to the atmosphere [12,13]. Wetlands in good condition are ecosystems fulfilling an important function in larger hydrological systems as regulators of water circulation, for which the important water balance elements include snow retention [14], flood retention [15][16][17], evapotranspiration [18] and interception [19,20]. Their disturbance, resulting from the impact of progressive climate changes on the natural environment [21], has a significant impact on reducing the water retention of the catchment.…”

Section: Introductionmentioning

confidence: 99%

UAV Based Crop Water Stress Index for Wetland Habitats as a Meteorological Drought Indicator

Ciężkowski¹,

Jóźwiak²,

Szporak-Wasilewska³

et al. 2018

Preprint

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Droughts occurring more and more frequently in recent years are usually associated with progressive climate changes. Modern monitoring methods is mainly associated with agricultural use due to the high market demand for services protecting against agricultural losses. In natural wetland ecosystem this problem is neglected which is probably due to fact that this are ecosystems rich in water by definition. Nevertheless this droughts might become a problem of wetlands, whose good condition depends on adequate hydration. Therefore this study focused on determination Crop Water Stress Index (CWSI) for natural heterogeneous wetland habitats. CWSI based on remotely sensed land surface temperature and associated basic meteorological (air temperature and humidity) measurements. CWSI was calculated based on high resolution LST measurements from UAV platform and compare with on ground measurements of soil moisture, CCI, fAPAR and meteorological conditions. Results shows that CWSI properly shows water condition of plants in measured habitats and revels high importance of metrological conditions during data acquisition.

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Modelling Wetland Growing Season Rainfall Interception Losses Based on Maximum Canopy Storage Measurements

Cited by 4 publications

References 40 publications

Rainfall partitioning through a mixed cedar swamp and associated C and N fluxes in Southern Ontario, Canada

Rainfall partitioning through a mixed cedar swamp and associated C and N fluxes in Southern Ontario, Canada

Thermal and Optical Indices for Wetland Habitats, are They Showing the Same Thing?

UAV Based Crop Water Stress Index for Wetland Habitats as a Meteorological Drought Indicator

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