Riparian Forest Cover Modulates Phosphorus Storage and Nitrogen Cycling in Agricultural Stream Sediments

Kreiling, Rebecca M.; Bartsch, Lynn A.; Perner, Patrik Mathis; Hlavacek, Enrika; Christensen, Victoria G.

doi:10.1007/s00267-021-01484-9

Cited by 14 publications

(4 citation statements)

References 70 publications

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“…There are several factors that are considered influential in determining the value of surface runoff at the research location, including: physical properties of the soil (Hernández-Crespo et al 2019;Kreiling et al 2021;Yin et al 2021;Amiri et al 2023), rainfall intensity (Morbidelli et al 2018;Hou et al 2019;Ewane and Lee 2020), vegetation cover and structure (Wang et al 2016;Ai et al 2017), litter (Lee et al 2018;Shi and Schulin 2018;Wolka et al 2021), and land slope (Chen et al 2018;Ding et al 2022;Kulik and Gordienko 2022).…”

Section: Discussionmentioning

confidence: 99%

Surface runoff in varying forest cover types in Jangkok Watershed, Lombok Island, Indonesia

MARKUM,

RAHMAN

2024

Biodiversitas

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Abstract. Markum, Rahman FA. 2024. Surface runoff in varying forest cover types in Jangkok Watershed, Lombok Island, Indonesia. Biodiversitas 25: 753-761. Forests in the Jangkok Watershed play an important role in controlling ecological functions and hydrological cycles in Lombok Island, West Nusa Tenggara, Indonesia. This research aims to evaluate the amount of surface runoff in the Jangkok Watershed by looking at various types of forest cover, namely Primary Forest (PF), Disturbed Forest (DF), Candlenut Agroforestry (CA), Mahogany Woodlot (MW), Multistrata Agroforestry (MA) and Simple Agroforestry (SA). The research area was located at altitudes between 250-650 meters above sea level with a slope of 7-43%. Data collected on each type of forest cover included: vegetation characteristics, surface runoff, slope and rainfall. The result shows vegetation cover in the studied area varies from moderate to very dense with coverage ranging from 50-90%. The vegetation in PF, DF and MA are characterized by very diverse vegetation, while that in UM, CA and SA it is quite homogeneous. The amount of Surface runoff coefficient varies across forest cover types with PF being the lowest (0.6-1.4%), followed by DF (0.6-1.7%), MA (0.6-1.7%), MW (0.6-2.1%), SA (1.0-2.2%) and CA (1.8-4.3%). Factors that are considered influential in determining the magnitude of surface runoff at the research location are the physical properties of the soil, rainfall intensity, vegetation type, structure and density, and land slope. The findings of this study suggest that more complex vegetation has important role in minimizing surface runoff, highlighting the importance of preserving and protecting this forest type to maintain hydrological function of watershed.

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Section: Discussionmentioning

confidence: 99%

Surface runoff in varying forest cover types in Jangkok Watershed, Lombok Island, Indonesia

MARKUM,

RAHMAN

2024

Biodiversitas

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“…Sedimentation, which is exacerbated by agricultural practices like soil tillage, is a major water quality concern globally (Walling, 1990). Shifting land use from forest to agriculture increases fine sediments in streams (Kreiling et al, 2021). Prior to land clearing, streams in the MAP were largely sand bottom but land clearing and the subsequent expansion of agriculture induced substantial increases in sedimentation of fine clays and silts in MAP water bodies that has remained 50‐fold higher than pre‐agricultural times (Wren et al, 2008).…”

Section: Discussionmentioning

confidence: 99%

Salinization and sedimentation drive contrasting assembly mechanisms of planktonic and sediment‐bound bacterial communities in agricultural streams

DeVilbiss,

Taylor,

Hicks

2023

Global Change Biology

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Agriculture is the most dominant land use globally and is projected to increase in the future to support a growing human population but also threatens ecosystem structure and services. Bacteria mediate numerous biogeochemical pathways within ecosystems. Therefore, identifying linkages between stressors associated with agricultural land use and responses of bacterial diversity is an important step in understanding and improving resource management. Here, we use the Mississippi Alluvial Plain (MAP) ecoregion, a highly modified agroecosystem, as a case study to better understand agriculturally associated drivers of stream bacterial diversity and assembly mechanisms. In the MAP, we found that planktonic bacterial communities were strongly influenced by salinity. Tolerant taxa increased with increasing ion concentrations, likely driving homogenous selection which accounted for ~90% of assembly processes. Sediment bacterial phylogenetic diversity increased with increasing agricultural land use and was influenced by sediment particle size, with assembly mechanisms shifting from homogenous to variable selection as differences in median particle size increased. Within individual streams, sediment heterogeneity was correlated with bacterial diversity and a subsidy‐stress relationship along the particle size gradient was observed. Planktonic and sediment communities within the same stream also diverged as sediment particle size decreased. Nutrients including carbon, nitrogen, and phosphorus, which tend to be elevated in agroecosystems, were also associated with detectable shifts in bacterial community structure. Collectively, our results establish that two understudied variables, salinity and sediment texture, are the primary drivers of bacterial diversity within the studied agroecosystem, whereas nutrients are secondary drivers. Although numerous macrobiological communities respond negatively, we observed increasing bacterial diversity in response to agricultural stressors including salinization and sedimentation. Elevated taxonomic and phylogenetic bacterial diversity likely increases the probability of detecting community responses to stressors. Thus, bacteria community responses may be more reliable for establishing water quality goals within highly modified agroecosystems that have experienced shifting baselines.

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“…Riparian forest acts as a buffer to pollution from agricultural activity (Jankowski et al, 2021) and is an effective tool for mitigating such pollution and improving aquatic ecosystems in tropical streams (Effert-Fanta et al, 2019). For instance, when the riparian forest cover alongside an agricultural stream is increased, the total phosphorus, organic matter, and nitrification rate decrease (Kreiling et al, 2021). Riparian forest can also mitigate the impact of temperature increases in streams (Turunen et al, 2021).…”

Section: Discussionmentioning

confidence: 99%

Influence of Riparian Forest and Temperature on Primary Production of Tropical Streams

Oliveira,

Wastowski,

Carneiro

2023

Braz. J. Aquat. Sci. Technol.

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Primary production is a key feature for the functioning of aquatic ecosystems. The trophic state of the streams reflects this primary production and is influenced by local limnological variables and level of integrity of the watershed. Thus, in this study, habitat integrity index (HII) and physical, chemical, and biological parameters of tropical streams were sampled in two sub-basins to understand the functioning of these ecosystems. We hypothesized that the variables association to the environmental integrity should determine the primary production in the streams. Because of the similar land use in the sub-basins (ex.: agriculture and livestock) they will show similar limnological variables. To identify how the streams differed in relation to their limnological characterization and the HII, we performed a Principal Component Analysis (PCA). The association between variables was assessed by Pearson's correlation analysis. To identify the difference between the two basins, a Student's Test was performed. The best predictors of primary production were determined using a multiple regression analysis with the Akaike selection criteria. The concentration of chlorophyll-a in the surface water indicated that the tropical streams sampled have, in general, low concentrations of nutrients, except for some more urban points. The variables that most differed among streams were blue-green cells/ml, pH, conductivity, and width of the riparian forest. Only redox potential and pH differed between the two watersheds. Temperature, blue-green cells/ml and width of the riparian forest were the variables that best predicted the phytoplankton primary production of watercourses in both watersheds. In this study we reinforce the importance of temperature in aquatic productivity, even more present in the face of climate change, which, added to deforestation, increases the surface area of sunlight in water courses, increases primary productivity and the eutrophication process.Keywords: blue-green algae; chemical variables; chlorophyll-a; HII; phytoplankton.

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Riparian Forest Cover Modulates Phosphorus Storage and Nitrogen Cycling in Agricultural Stream Sediments

Cited by 14 publications

References 70 publications

Surface runoff in varying forest cover types in Jangkok Watershed, Lombok Island, Indonesia

Surface runoff in varying forest cover types in Jangkok Watershed, Lombok Island, Indonesia

Salinization and sedimentation drive contrasting assembly mechanisms of planktonic and sediment‐bound bacterial communities in agricultural streams

Influence of Riparian Forest and Temperature on Primary Production of Tropical Streams

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