Medium Water Levels Research Articles

A Comparison of Greenhouse Gas Emission Patterns in Different Water Levels in Peatlands

Peatlands store large amounts of carbon in wetland ecosystems. The hydrological conditions within peatlands are important factors that affect the biochemical cycle and patterns of greenhouse gas emissions in these peatlands. This study was carried out in Changbai Mountain Jinchuan peatland to investigate variations in carbon dioxide and methane emissions in peat swamps that have undergone distinct saturation conditions. Three peatland types (high water levels (S1); medium water levels (S2); low water levels (S3)) at different flood depths were selected as specific sampling points. The static box and gas chromatography methods were used at different time periods (6:00; 12:00; and 18:00) from July to September. The discharge flux of CO2 and CH4 slowly increased with the increase in the water level. The results indicate similarity in the fluctuation trends between the fluxes of CO2 and CH4 in S1 and S2 to the fluctuations of water levels. During the entire growth season, the flux range of CO2 and CH4 was −695.329~859.907 mg m2h−1 and 259.981~147.155 mg m2h−1, respectively. Furthermore, there was variation in mutation characteristics between two gases, the CO2 exhibited larger mutation range (−7.08~3.40) than CH4 (−1.79~1.26). In terms of daily flux changes, CO2 showed an upward trend, while CH4 had a downward trend. These results indicate variations in saturation conditions tend to affect discharge of greenhouse gases, with subsequent effects on climate change. This study highlights potential theoretical support to reduce anthropogenic activities on peatlands. This can be achieved by undertaking measures to conserve peatlands and explore mitigation measures to minimize greenhouse gas emissions and hence impacts of climate change.

Comparisons of Different Machine Learning-Based Rainfall–Runoff Simulations under Changing Environments

Climate change and human activities have a great impact on the environment and have challenged the assumption of the stability of the hydrological time series and the consistency of the observed data. In order to investigate the applicability of machine learning (ML)-based rainfall–runoff (RR) simulation methods under a changing environment scenario, several ML-based RR simulation models implemented in novel continuous and non-real-time correction manners were constructed. The proposed models incorporated categorical boosting (CatBoost), a multi-hidden-layer BP neural network (MBP), and a long short-term memory neural network (LSTM) as the input–output simulators. This study focused on the Dongwan catchment of the Yiluo River Basin to carry out daily RR simulations for the purpose of verifying the model’s applicability. Model performances were evaluated based on statistical indicators such as the deterministic coefficient, peak flow error, and runoff depth error. The research findings indicated that (1) ML-based RR simulation by using a consistency-disrupted dataset exhibited significant bias. During the validation phase for the three models, the R2 index decreased to around 0.6, and the peak flow error increased to over 20%. (2) Identifying data consistency transition points through data analysis and conducting staged RR simulations before and after the transition point can improve simulation accuracy. The R2 values for all three models during both the baseline and change periods were above 0.85, with peak flow and runoff depth errors of less than 20%. Among them, the CatBoost model demonstrated superior phased simulation accuracy and smoother simulation processes and closely matched the measured runoff processes across high, medium, and low water levels, with daily runoff simulation results surpassing those of the BP neural network and LSTM models. (3) When simulating the entire dataset without staged treatment, it is impossible to achieve good simulation results by adopting uniform extraction of the training samples. Under this scenario, the MBP exhibited the strongest generalization capability, highest prediction accuracy, better algorithm stability, and superior simulation accuracy compared to the CatBoost and LSTM simulators. This study offers new ideas and methods for enhancing the runoff simulation capabilities of machine learning models in changing environments.

ALS ve ACCase inhibitörü herbisitlere dayanıklı Echinochloa crus-galli'nin entegre mücadelesi

Rice is an important grain crop due to its high domestic consumption and important role in terms of food security globally. Because of the difficulty of crop rotation and fallow-free cultivation in rice production, competitive weed species that have the capacity to reproduce rapidly and are adapted to water have become a problem. The strong negative effects of weeds on rice yield and farm profits have created a demand for cost-effective weed management strategies. As a result of the use of herbicides with the same mode of action for many years, the number and population of weed species resistant to herbicides have increased rapidly. So integrated weed control is the only method and an important solution in managing these weeds that should be developed according to the countries' production systems. Echiochloa crus-galli (Barnyardgrass) is one of the earliest resistant weeds adapted to rice production areas. For effective weed management; it aimed to determine the interaction between the cultivation method, water management and rice varieties (Osmancık, Gönen, Koral). The trials were carried out in Turkiye's Marmara and Black Sea Regions. Experiments were carried out with four replications. The water level (especially the high water level) not only had a highly suppressive effect against weeds but also helped to increase the growth and yield of the rice. The deep and medium water levels increased the rice's tillering number and dry weight. The obtained data revealed that better rice growth and high yield can be achieved by maintaining the water level in rice cultivation areas. The development of competitive and local rice varieties is seen as a viable approach in an integrated herbicide-resistant weed control program.

Production in peatlands: Comparing ecosystem services of different land use options following conventional farming

Majority of Dutch peatlands are drained and used intensively as grasslands for dairy farming. This delivers high productivity but causes severe damage to ecosystem services supply. Peatland rewetting is the best way to reverse the damage, but high water levels do not fit with intensive dairy production. Paludiculture, defined as crop production under wet conditions, provides viable land use alternatives. However, performance of paludiculture is rarely compared to drainage-based agriculture. Here, we compared the performances of six land use options on peatland following a gradient of low, medium, and high water levels, including conventional and organic drainage-based dairy farming, low-input grasslands for grazing and mowing, and high-input paludiculture with reed and Sphagnum cultivation. For each land use option, we conducted environmental system analysis on model farm system defined by a literature based inventory analysis. The analysis used five ecosystem services as indicators of environmental impacts with a functional unit of 1-ha peat soil. Ecosystem services included biomass provisioning, climate, water, and nutrient regulation, and maintenance of habitat. Results showed that drainage-based dairy farming systems support high provisioning services but low regulation and maintenance services. Organic farming provides higher climate and nutrient regulation services than its conventional counterpart, but limited overall improvement due to the persistent drainage. Low-intensity grassland and paludiculture systems have high regulation and maintenance services value, but do not supply biomass provisioning comparable to the drainage-based systems. Without capitalizing the co-benefits of regulation and maintenance services, and accounting for the societal costs from ecosystem disservices including greenhouse gas emission and nitrogen pollution, it is not likely that the farmers will be incentivized to change the current farming system towards the wetter alternatives. Sustainable use of peatlands urges fundamental changes in land and water management along with the financial and policy support required.

Effect of rural domestic sewage regeneration irrigation on paddy soil properties and water and nitrogen utilization in southern China

AbstractRural domestic reclaimed water (RDRW) for agricultural irrigation is an effective way to alleviate the contradiction between the supply and demand of water. In this research, four kinds of irrigation water sources (primary and secondary treated water [R1 and R2], purified water [R3] and river water [CK]) and three kinds of water level regulations (low, medium and high water level control [W1, W2 and W3]) were set to study the impact of RDRW irrigation and its reuse on the properties of paddy soil, water and nitrogen utilization and yield of rice through a combination of field experiments and laboratory and numerical analysis methods. The results showed that compared with river water (CK) irrigation, pH (0–40 cm), electrical conductivity (EC) and organic matter (OM) content (60–80 cm) increased, and ammonium‐nitrogen (NH4+‐N) (0–20 cm) and nitrate‐nitrogen (NO3−‐N) (40–60 cm) content accumulated under RDRW irrigation. Under high water level regulation (W3), NH4+‐N and NO3−‐N content increased, showing the opposite changing trend compared with W1 and W2 regulations. With RDRW irrigation, water and nitrogen use efficiency and rice yield were significantly increased. Under RDRW irrigation, irrigation water use efficiency (IWUE), nitrogen use efficiency (NUE) and rice yield were increased by 48%–70%, 10%–22% and 5%–13%, respectively, compared with CK irrigation. In addition, path analysis established by structural equation modelling (SEM) showed that the irrigation water amount (IWA) had a significant positive impact on NUE and NH4+‐N but had a significant negative impact on IWUE and EC. NUE, IWUE, NO3−‐N and EC had a significant positive impact on yield. The path of IWA= > IWUE= > yield showed a complete mediation effect, the path of IWA= > EC= > yield and NUE= > EC= > yield both showed a partial mediation effect, and the effect size was 27.9% and 25.0%, respectively.

Effect of Rural Sewage Irrigation Regime on Water-Nitrogen Utilization and Crop Growth of Paddy Rice in Southern China

Reclaimed water irrigation has become an effective mean to alleviate the contradiction between water availability and its consumption worldwide. In this study, three types of irrigation water sources (rural sewage’s primary treated water R1 and secondary treated water R2, and river water R3) meeting the requirements of water quality for farmland irrigation were selected, and three types of irrigation water levels (low water level W1 of 0–80 mm, medium water level W2 of 0–100 mm, and high water level W3 of 0–150 mm) were adopted to carry out research on the influence mechanismS of different irrigation water sources and water levels on water and nitrogen use and crop growth in paddy field. The water quantity indicators (irrigation times and irrigation volume), soil ammonium nitrogen (NH4+-N) and nitrate nitrogen (NO3−-N), rice yield indicators (thousand-grain weight, the number of grains per spike, and the number of effective spikes), and quality indicators (the amount of protein, amylose, vitamin C, nitrate and nitrite content) of rice were measured. The results showed that, the average irrigation volume under W3 was 2.4 and 1.9 times of that under W1 and W2, respectively. Compared with R3, the peak consumption of rice was lagged behind under R1 and R2, and the nitrogen form in 0–40 cm soil layers under rural sewage irrigation was mainly NH4+-N. The changes of NO3−-N and NH4+-N in the 0–40 cm soil layer showed the trend of declining and then increasing. The water level control only had a significant effect on the change of NO3−-N in the 60–80 cm soil layer. Both irrigation water use efficiency and crop water use efficiency were gradually reduced with the increase of field water level control. The nitrogen utilization efficiency under rural sewage irrigation was significantly higher than that under R3. Compared with the R3, rural sewage irrigation could significantly increase the yield of rice, and as the field water level rose, the effect of yield promotion was more obvious. It was noteworthy that the grain of rice under R1 monitored the low nitrate and nitrite content, but no nitrate and nitrite was discovered under R2 and R3. Therefore, reasonable rural sewage irrigation (R2) and medium water level (W2) were beneficial to improve nitrogen utilization efficiency, crop yield and crop quality promotion.

松嫩平原湿地植物群落多样性的环境梯度分布格局及控制因子

PDF HTML阅读 XML下载 导出引用 引用提醒 松嫩平原湿地植物群落多样性的环境梯度分布格局及控制因子 DOI: 10.5846/stxb202201150145 作者: 作者单位: 作者简介: 通讯作者: 中图分类号: 基金项目: 中央高校自主科研项目计划（2572019DF07） Environmental gradient distribution patterns of wetland plant community diversity and controlling factors in Songnen Plain Author: Affiliation: Fund Project: Supported by: The Independent Research Project of the Central Universities of China (2572019DF07) 摘要 | 图/表 | 访问统计 | 参考文献 | 相似文献 | 引证文献 | 资源附件 | 文章评论 摘要:物种丰富度格局及其决定因素是生态学核心问题，但对其形成机制仍缺乏共识。为探究松嫩平原西部半干旱区沿湖岸至高地环境梯度（局地尺度）植物群落多样性分布格局及其决定因素，以沿该梯度依次分布的7种群落（狭叶香蒲沼泽、小香蒲沼泽、芦苇沼泽、草丛沼泽、拂子茅草甸、羊草草甸和榆树疏林）为对象，采用样带网格调查法及聚类分析法划分群落类型，测定物种丰富度、α多样性和β多样性及其环境因子（水位、土壤含水率、有机质等），揭示群落多样性空间分布规律及其形成机制。结果表明，沿湖岸至高地环境梯度：（1）物种丰富度（2.00-18.00）和α多样性（Simpson指数0.12-0.90；Shannon-Wiener指数0.23-2.57和Pielou指数0.34-0.88）总体上均呈类似N字型分布（在下部深水生境狭叶香蒲沼泽最低、中下部季节性积水生境草丛沼泽最高、中上部湿润生境拂子茅草甸较低、上部沙丘干旱生境榆树疏林又较高）；（2）广义的β多样性（Jaccard指数0.56-0.96）可以分解成物种周转（丰富度没有变化的地点间的物种替代）和嵌套（物种贫乏地点是物种丰富地点子集时的物种差异）两个过程，其在该梯度上半段干旱生境和下半段浅水生境相对较高，且主要由周转过程控制。在常年积水生境上最低且仅由嵌套过程控制，而在环境梯度中间地段则由周转和嵌套过程共同控制；（3）物种丰富度和α多样性的主控因子沿该梯度发生了明显转换，在高水位区由水位、有机质和全磷共同控制；中水位区仅由速效磷控制；低水位区由pH和含水率控制。因此，松嫩平原半干旱区沿湖岸至高地环境梯度物种丰富度和α多样性存在明显的空间分布格局及具有较高的β多样性，且其主要形成机制为微地形创造局地空间环境异质性与物种库相互作用共同塑造了植物群落多样性，故在生物多样性管理实践中应对其空间分布格局完整性加以重点保护。 Abstract:Patterns and determinants of species richness are the central issues in ecology, but there is still a lack of consensus on their formation mechanisms. In order to explore the distribution patterns and determinants of community diversity along lakeshore-highland environmental gradient (local scale) in western Songnen Plain semi-arid region, species richness, α diversity, β diversity and environmental factors including water level (WL), soil water content (WC), organic matter (OM), etc. were measured by setting up sample belts and cluster analysis in seven communities (Typha angustifolia wetland, Typha minima wetland, Phragmites australis wetland, hassock wetland, Calamagrostis epigeios meadow, Leymus chinensis meadow and elm sparse forest) along this gradient, to reveal the spatial variation and formation mechanisms of community diversity. The results show that, along lakeshore-highland environmental gradient:(1) both species richness (2.00-18.00) and α diversity (Simpson index 0.12-0.90; Shannon-Wiener index 0.23-2.57 and Pielou index 0.34-0.88) showed a similar N-shaped distribution pattern (Typha angustifolia wetland was the lowest at the lower deep-water habitats, hassock wetland was the highest at the lower-middle seasonal inundated habitat, the lower at the middle-upper wet habitats of Calamagrostis epigeios meadow and the higher at the upper arid habitats of dune elm sparse forest). (2) We partitioned the generalized β diversity (Jaccard index 0.56-0.96) into two components:species turnover (species replacement among sites without changes in richness) and nestedness (species differences among sites when species-poor sites constitute subsets of those with a greater number of taxa). β diversity was relatively high at arid habitats located in upper half and shallow-water habitat located in lower half of the gradient, and it was mainly controlled by turnover processes. At the permanently inundated habitats, it was the lowest one, which is controlled only by nestedness processes. But in the middle of the environmental gradient, the turnover and nestedness processes control it togther. (3) The main controlling factors of species richness and α diversity were significantly converted along the gradient. The high water level area was jointly controlled by water level, organic matter and total phosphorus (TP), the medium water level area was controlled only by available phosphorus (AP) and the low water level area was jointly controlled by pH and water content. Therefore, there were obviously spatial distribution patterns of species richness and α diversity, and higher β diversity along lakeshore-highland environmental gradient in the Songnen Plain semi-arid region. Our results suggested that the main mechanism was the interaction between the local spatial environmental heterogeneity created by microtopography and the region species pool, which jointly shaped the plant community diversity. Thus, its spatial distribution patterns integrity should be protected in the practice of biodiversity management. 参考文献 相似文献 引证文献

Trends in surface elevation and accretion in a retrograding delta in coastal Mississippi, USA from 2012–2016

The Grand Bay estuary is in the north-central Gulf of Mexico and lacks riverine sediment input for marsh elevation maintenance. This study quantified trends in surface elevation change and accretion along an elevation gradient within the estuary. Elevation change rates were compared to short (13.71 mm/yr; 95% CI: -2.38–29.81), medium (6.97 mm/yr; 95% CI: 3.31–10.64), and long-range (3.50 mm/yr; 95% CI: 2.88–4.11) water level rise (WLR) rates for the region. Elevation change rates ranged from 0.54 mm/yr (95% CI: -0.63–1.72) to 5.45 mm/yr (95% CI: 4.27–6.62) and accretion rates ranged from 0.82 mm/yr (95% CI: -0.16–1.80) to 3.89 mm/yr (95% CI: 2.90–4.89) among marsh zones. Only the elevation change rate at a Juncus roemerianus marsh located high in the tidal frame was lower than long- (P < 0.001) and medium-range WLR rates (P < 0.01). The elevation change rate at a lower elevation J. roemerianus marsh was higher than the long-range WLR rate (P < 0.05). No marsh zones had elevation change rates that were significantly different from short-range WLR. These results suggest that J. roemerianus marshes higher in the tidal frame are the most vulnerable to increases in sea level. Lower elevation marshes had higher rates of elevation change driven by sediment accretion and biogenic inputs. Other local research suggests that shoreline erosion is a threat to marsh persistence but provides elevation capital to interior marshes. Marsh migration is a potential solution for marsh persistence in this relatively undeveloped area of the Gulf Coast.

Passive sampling as an alternative strategy to monitor metals and PAHs trends at an upstream and rural catchment: a French case study

The study presents an alternative strategy to conventional spot sampling for monitoring metals and polycyclic aromatic hydrocarbons (PAHs) at an upstream, rural and karstic catchment in the north eastern part of France, in order to get insight into their spatial and temporal variability. Passive samplers, as diffusive gradients in thin films (DGT) and semipermeable membrane device (SPMD), are monthly deployed from August 2012 to March 2016 at five of the catchment monitoring stations located on the Saulx and Ornain Rivers. An improvement of the frequency of quantification (by a factor 2 to 8, depending on the targeted compound) is observed allowing us to better identify spatial and temporal variability. For instance, the upstream monitoring station on the Saulx River is characterized by high concentrations of Ni and Mn whereas the upstream monitoring station on the Ornain River is enriched in Cu and Zn. Furthermore, five metals (Al, Fe, Mn, Ni, Zn) and three PAHs (fluoranthene, pyrene and chrysene) show significant variations with water levels when grouped in three categories (low, medium and high water levels) in relation with hydrological and climatic patterns. This study leads to a more accurate assessment of the background pollution in metals and PAHs within surface waters than when based on spot sampling data.

ANALISIS TINGKAT KERAWANAN DAN MITIGASI BANJIR PERKOTAAN DI KECAMATAN PULAU LAUT UTARA KABUPATEN KOTABARU

Several efforts are needed in dealing with urban flood disasters to minimize the potential for large losses for the community. By mapping and knowing the pattern of flood distribution, this study was also built to determine the urban flood disaster mitigation system in Pulau Laut Utara District, Kotabaru Regency.&#x0D; The value of the flood susceptibility class interval aims to distinguish the flood susceptibility class, and by determining the intensity of inundation based on the inundation area and the elevation of the flood level. With processing the value from the investigation in Nort Pulau Laut covering several villages and roads, the level of vulnerability to flooding in Dirgahayu Village is 10.24% (low water level), 6.54% (medium water level), 1.33% (high water level). In Sungai Paring Village it was 2.81% (low water level), 10.18% (medium water level), 8.48% (high water level). In Baharu Village, it was 3.69% (low flood), 3.21% (medium water level), 10.87% (high water level). In Semayap Village it was 4.11% (low water level), 2.21% (medium water level), 2.58% (high water level). And in Sebelimbingan Village it was 4.67% (low water level), 3.90% (medium water level), and 8.25% (high water level). With intervals from each flood location, a value of 73.98 was obtained in the category of sufficiently prone to flooding.

Effects of water level on nitrous oxide emissions from vegetated ditches

Nitrous oxide (N2O) is considered a powerful greenhouse gas. Vegetated ditches are an important source of N2O emissions in the agricultural systems. However, few studies have examined on the relationship between N2O emissions and the water level in vegetated ditches. To investigate the effect of water level on the N2O emissions, three pilot-scale ditches vegetated with Myriophyllum aquaticum were constructed with low (LW), medium (MW), and high (HW) water levels. The examined results indicated that the M. aquaticum ditches decreased N2O emissions by 38.4% and 67.9% in MW and HW, respectively, as compared to the LW ditch. In addition, the N2O emission factor decreased with increasing water level in the order of: LW (0.18%) > MW (0.11%) > HW (0.06%). The MW and HW ditches reduced the N2O emissions by controlling the sediment nitrogen contents, in which the ammonia nitrogen increased with increasing the level of water, while nitrate nitrogen decreased with increasing the level of water. The increase in the level of water significantly reduced the gene abundance of ammonia-oxidizing archaea (AOA) (p < 0.05), thereby reducing the N2O emissions in the MW and HW conditions due to the positive correlation between N2O emissions and AOA gene abundances. The unclassified_k_norank_d_Bacteria was the dominant denitrifying bacterial genus observed in the M. aquaticum ditches, and its highly relative abundance yielded low N2O emissions in the HW ditch. These findings indicate that reducing N2O emissions may be achieved by controlling the water level in vegetated ditches.

Seasonal Yangtze finless porpoise (Neophocaena asiaeorientalis asiaeorientalis) movements in the Poyang Lake, China: Implications on flexible management for aquatic animals in fluctuating freshwater ecosystems

Identifying seasonal high-use habitats and migration corridors is the basis for migratory species conservation. Previous studies have focused on Marine Protected Areas, while freshwater ecosystems, often accompanied by severe hydrological fluctuations, suggest new perspectives for flexible management. Poyang Lake is an essential habitat for the critically endangered Yangtze finless porpoise (Neophocaena asiaeorientalis asiaeorientalis, YFP), supporting almost half of their natural population. However, studies on the movement patterns and habitat preferences of YFPs still lack there, preventing potential protected areas’ effectiveness. In this study, we conducted 10 surveys for the YFP population in the main body and tributaries of Poyang Lake from October 2018 to August 2020. We used habitat modeling to analyze their seasonal habitat use and the environmental predictors. YFPs showed a seasonal movement pattern consistent with water level fluctuations. They entered the tributaries from the main lake body in low and medium water levels and returned to the main lake during high water level periods. The water depth was the most important environmental variable in each hydrological season that affects YFPs’ habitat selection. The suitable water depth was about 4-8 m during the low water level, 6-12 m during the medium water level, and 7-20 m during the high water level. YFPs’ 50% core habitats distribution showed noticeable seasonal changes. The proportion of their suitable habitats in the whole lake was relatively low, which was highest during high water level (16.89%), and the weakest during low water level (12.11%). Considering the seasonal movements of the YFPs in the lake, we recommend flexible management measures for their core habitats to alleviate human interference and restore their movement rhythm between the river and the lake, which shed light on protected area management for aquatic animals in such seasonal fluctuating habitats.

Establishing the relationship between benthic macroinvertebrates and water level fluctuation in subtropical shallow wetlands.

Wetland water level fluctuations often influence benthic macroinvertebrate communities through changes in water quality, substrate, and macrophytes and, hence, affect the structure and function of aquatic ecosystems. However, there is lack of understanding on how water level fluctuations affect the structure and composition of benthic macroinvertebrates in subtropical shallow wetlands in Nepal. Here, we assessed the changes in benthic macroinvertebrate community composition in response to water level fluctuations and identified indicator taxa sensitive to such fluctuations. A study was conducted over 4 seasons covering one annual cycle of water level fluctuation in 4 wetlands of Koshi Tappu Wildlife Reserve, Nepal. The study revealed that benthic macroinvertebrate composition significantly differed across water levels. Dissimilarities in macroinvertebrate community composition were mainly attributed by families Atyidae, Dytiscidae, Baetidae, Planorbidae, Chironomidae, Bithyniidae, Sphaeriidae, and Thiaridae. Taxon specific richness, densities, and biomass varied across the water levels while no difference was documented for overall family richness, density, and biomass. Ephemeroptera and Trichoptera richness decreasedwhen water levels were low while Coleoptera and Diptera richness increased. Medium water level supported high benthic macroinvertebrate diversity. Indicator taxa analysis identified Coleoptera: Hydrophilidae and Dytiscidae, Hemiptera: Pleidae, Diptera: Muscidae and Mollusca: Sphaeriidae, Viviparidae, and Thiaridae, as indicators of low water level. Similarly, Coleoptera: Scirtidae, Hemiptera: Micronectidae and Oligochaeta: Tubificidae as indicators of medium water level, and Trichoptera: Polycentropodidae and Ephemeroptera: Caenidae as indicators of high water level. Redundancy analysis identified water level as one of the most influencing factors in benthic macroinvertebrate community variation. Considering the significant response of benthic macroinvertebrates to water level fluctuations, theyare important as ecological indicators in research aimed at developing environmental flow frameworks. Indicator speciesare likely to be a vital tool in environmental impact assessment and monitoring in relation to hydrological development. The outcomesof this research have important implications to conservation and management of wetlands to preserve the valuable ecosystem functions provided by wetlands.

Hydrological alteration induced changes on macrophyte community composition in sub-tropical floodplain wetlands of Nepal

In wetland ecosystems, macrophytes are sensitive to water level fluctuations. However, studies specific to the effects of water level fluctuations on distribution and composition of macrophytes are limited in sub-tropical floodplain wetlands of Nepal. This study aimed to examine the association between macrophytes and water levels in the floodplain wetlands of Koshi Tappu, in south-eastern Nepal. Sixty-four samples of macrophyte, along with twelve water quality parameters, five soil parameters and weekly water level information were collected from four shallow wetlands during summer, autumn, winter and spring over 2018 and 2019. Altogether, 52 macrophyte species belonging to 25 families were documented. Of them, 15, 6, 5 and 26 were emergent, submerged, floating and amphibian species, respectively. 10 species (5 emergent, 2 submerged, 2 floating and 1 amphibian species) were common across seasons. Regression analysis showed the decreasing trend in diversity, richness and evenness with increased water levels while at the same time overall macrophyte biomass increased. During summer, high water level supported the growth of floating invasive macrophytes, while medium and low water level during autumn and winter, respectively, supported submerged macrophytes. However, low-water level during spring supported emergent and amphibian macrophyte species. Canonical correspondence analysis (CCA) indicated that water depth and physico-chemical parameters such as water temperature, dissolved oxygen, pH, conductivity, nitrate-nitrogen, and phosphate were highly correlated with macrophyte assemblages across the wetlands. The study elucidated that management of water levels can ensure ecological integrity of wetlands and hence maintain biodiversity, and provide key indicators of water quality change.

Effect of water depth on eight varieties of rice in Obukiyo, Oju lga of Benue state, Nigeria

Water depth has been described as one of the most important environmental factors determining the growth and yield of rice. Different rice varieties respond differently to various water levels. Three (3) naturally existing water levels (5cm, 10cm and 15cm) at Obukyo Oju Local Government Area of Benue State were studied to evaluate their impact on eight varieties of rice (FARO 15, 37, 44, 52, 57, 60, 61 and 62). The data collected showed significant different (P&lt; 0. 05) in plant height, blade area, panicle length and dry seed weight, while the number of leaves and tillers were not significantly affected by the various water levels. Generally, the rice performed better in high water levels (15cm) than the medium (10cm) and low water depth (5cm). FARO 57 (9.86t/ha), FARO 61(9.86t/ha), FARO15 (8.78t/ha) and FARO 52 (8.28t/ha) were significantly higher while FARO 44 (5.24t/ha) the dwarf variety and FARO 37 (5 54t/ha) the lodging and low drought resistance variety yielded very poor in high and medium water levels but encouragingly high in low water depth. FARO 57 (5.75t/ha) and FARO 60 (5.65t/ha) were the lowest in low water levels. FARO 15, 52, 57, 60, 61 and 62 were recommended for high water levels while FARO 15, 52, 57, 60, 61 and 62 were recommended for medium water levels. FARO15, 37, 44, 52, 61 and 62 are recommended for low water level. FARO 15, 52, 61 and 62 had encouraging yield in all water levels and are recommended as such.

Inversion of Winter Wheat Growth Parameters and Yield Under Different Water Treatments Based on UAV Multispectral Remote Sensing.

In recent years, the unmanned aerial vehicle (UAV) remote sensing system has been rapidly developed and applied in accurate estimation of crop parameters and yield at farm scale. To develop the major contribution of UAV multispectral images in predicting winter wheat leaf area index (LAI), chlorophyll content (called soil and plant analyzer development [SPAD]), and yield under different water treatments (low water level, medium water level, and high water level), vegetation indices (VIs) originating from UAV multispectral images were used during key winter wheat growth stages. The estimation performances of the models (linear regression, quadratic polynomial regression, and exponential and multiple linear regression models) on the basis of VIs were compared to get the optimal prediction method of crop parameters and yield. Results showed that LAI and SPAD derived from VIs both had high correlations compared with measured data, with determination coefficients of 0.911 and 0.812 (multivariable regression [MLR] model, normalized difference VI [NDVI], soil adjusted VI [SAVI], enhanced VI [EVI], and difference VI [DVI]), 0.899 and 0.87 (quadratic polynomial regression, NDVI), and 0.749 and 0.829 (quadratic polynomial regression, NDVI) under low, medium, and high water levels, respectively. The LAI and SPAD derived from VIs had better potential in estimating winter wheat yield by using multivariable linear regressions, compared to the estimation yield based on VIs directly derived from UAV multispectral images alone by using linear regression, quadratic polynomial regression, and exponential models. When crop parameters (LAI and SPAD) in the flowering period were adopted to estimate yield by using multiple linear regressions, a high correlation of 0.807 was found, while the accuracy was over 87%. Importing LAI and SPAD obtained from UAV multispectral imagery based on VIs into the yield estimation model could significantly enhance the estimation performance. This study indicates that the multivariable linear regression could accurately estimate winter wheat LAI, SPAD, and yield under different water treatments, which has a certain reference value for the popularization and application of UAV remote sensing in precision agriculture.

A biodiversity evaluation framework for restoration of aquatic macrophyte communities in shallow lakes driven by hydrological process management

AbstractMacrophyte community diversity and composition respond to ecosystem conservation and local environmental factors. In this study, we developed a multidimensional diversity framework for macrophyte communities, including the taxonomic and functional alpha and beta diversity. We used the framework to explore the relationships among water level regimes and these diversity parameters in a case study of China's Baiyangdian Lake. Analysis of indicators of hydrologic alteration divided the water level from 1959 to 2019 into four regimes (dry, &lt;6.42 m; low, 6.42–7.23 m; medium, 7.23–8.19 m; high, &gt;8.19 m). Alpha and beta diversity were significantly higher in the medium regime than in the low and high regimes. Redundancy analysis indicated that the maximum water depth significantly affected taxonomic alpha diversity, and total nitrogen (TN) and chemical oxygen demand (COD) concentration significantly affected functional alpha diversity, respectively. Mantel tests showed that TN, Secchi depth (SD), and water depth in the high water level regime significantly increased the total beta diversity and turnover components. TN was the main factor that increased total taxonomic beta diversity. Water level regime mainly influenced interspecific relationships by changing the TN and COD concentration. The water level should be maintained between the medium and high water level regimes to promote restoration of the macrophyte community and improve ecosystem stability. The biodiversity evaluation framework would provide a deeper insight into the hydrological process management for restoration of aquatic macrophyte communities in shallow lakes.

Influence of partial pork meat replacement by pulse flour on physicochemical and sensory characteristics of low-fat burgers.

Numerous non-meat ingredients, such as hydrocolloids, starches, and fibers, have been studied to improve texture characteristics and increase the ability to bind water in low-fat meat products. In this sense, pulses flours (lentil, chickpea, pea, and bean) were studied at two levels and various water:flour ratios to replace 10-44% pork meat in low-fat burgers and determine the effect on their sensory and technological properties (cooking yield, expressible liquid, diameter reduction, and color and texture profile). All pork-meat burgers that included pulse flour showed higher cooking yields, lower diameter reductions, and expressible liquids than all-meat burgers, which displayed better oil and water retention. Higher water additions resulted in burgers with less hardness. Burgers with 80 g kg-1 lentil flour in all water/flour ratios presented the lowest total color difference (ΔE) compared with the commercial control. Burgers with the higher level of all pulse flour tested and medium water levels showed acceptable sensory scores. Partial pork meat replacement by different legume flour (lentil, chickpea, pea, and bean), at levels of 80 and 150 g kg-1 and water/flour ratios of 1250, 1600, and 2000 g kg-1 resulted in low-fat burgers with adequate physicochemical characteristics. Moreover, the sensorial evaluation of the formulations with the maximum flour addition and intermediate water/flour ratio showed that they had good sensorial acceptability with no effect of flour type. © 2020 Society of Chemical Industry.

Are vegetated drainage ditches effective for nitrogen removal under cold temperatures?

Vegetated ditches are widely used to treat agricultural wastewater, but effective nitrogen removal at low temperatures remains a challenge because plants wilt in the winter. In this study, three simulated drainage ditches vegetated with Myriophyllum aquaticum were operated with low, medium, and high water levels to study ammonium nitrogen (NH4+-N) removal under cold temperatures. The M. aquaticum ditches had a mean NH4+-N removal efficiency of 75.8–86.8% throughout cold period. Based on nitrogen mass balance, plant uptake, sediment adsorption, and microbial removal accounted for 12.4–21.5%, 0.0–8.1%, and 38.9–54.6% of the influent total nitrogen loading, respectively. The accumulation of nitrate confirmed that intense microbial nitrification occurred in M. aquaticum ditches even at low temperature. These results suggest that M. aquaticum is appropriate as a cold-tolerant plant for NH4+-N removal in drainage ditches.

The trends in the main thalweg path of selected reaches of the Middle Vistula River, and their relationships to the geological structure of river channel zone

Abstract Research carried out by the authors’ team in the valleys of many rivers in the Polish Lowlands has shown that the contemporary morphodynamics of channel zones is highly influenced by protrusions of erosion-resistant sub-alluvial bedrock. The article presents the results of analysis of two reaches of the Middle Vistula: near Solec nad Wisłą (km 330-340) and Gołąb (km 382-388), where such protrusions have been found. At each of them, two series of bathymetric measurements were carried out during medium and low water levels in the river channel. The measurements were made using hydrographic sets integrated with a GNSS receiver. The first series of measurements was carried out in July 2004, and the second one in September 2016. In parallel with the bathymetric surveys, low-altitude aerial photographs were taken in 2016 to document the morphology of the channel zone and the condition of the river engineering structures. A comparison of the obtained bathymetric maps shows a high correspondence between the thalweg line from 2004 and that observed twelve years later. This phenomenon proves the significance of the bedrock relief beneath the modern alluvial deposits for the water flow process in the channel. The relief causes the flow to concentrate in specific zones so strongly that it contributes to the damage of river engineering structures that put limits on the channel processes. This trend of concentrating the main thalweg is also accompanied by the diversity of depositional environments of river channel facies, identified along the studied reaches.