Spectral assessment of organic matter with different composition using reflectance spectroscopy 

2021 ◽  
Author(s):  
Nicolas Francos ◽  
Yaron Ogen ◽  
Eyal Ben-Dor
Keyword(s):  
Organic Matter ◽  
Sustainable Use ◽  
Environmental Parameters ◽  
Least Squares Regression ◽  
Dune Sand ◽  
Spectral Detection ◽  
Soil Surveys ◽  
Different Origins ◽  
Limited Accuracy ◽  
Spectral Assessment

<p>Soil surveys are critical for maintaining sustainable use of natural resources while minimizing harmful impacts to the ecosystem. A key soil attribute for many environmental parameters, such as CO2 budget, soil fertility and sustainability, is soil organic matter (SOM), and its sequestration. Soil spectroscopy is a popular method to assess SOM content rapidly in both field and laboratory domains. However, the SOM source composition differs from soil to soil and the use of spectral-based models for quantifying SOM may present limited accuracy when applying a generic approach for SOM assessment. We therefore examined the extent to which the generic approach can assess SOM contents of different origin using spectral-based models. We created an artificial big dataset composed of pure dune sand as a SOM-free background which was artificially mixed with increasing amounts of different organic matter (OM) sources obtained from commercial compost of different origins. Dune sand has high albedo and yields optimal conditions for SOM detection. This study combined two methods: partial least squares regression for the prediction of SOM content from reflectance values across the 400–2500 nm region, and soil spectral detection limit (SSDL) to judge the prediction accuracy. Spectral-based models to assess SOM content were evaluated with each OM source as well as with a merged dataset that contained all of the generated samples (generic approach). The latter was concluded to have limitations for assessing low amounts of SOM (<0.6%), even under controlled conditions. Moreover, some of the OM sources were more difficult to monitor than others; accordingly, caution is advised when different SOM sources are present in the examined population.</p>

scholarly journals Spectral Assessment of Organic Matter with Different Composition Using Reflectance Spectroscopy

2021 ◽  
Vol 13 (8) ◽  
pp. 1549
Author(s):  
Nicolas Francos ◽  
Yaron Ogen ◽  
Eyal Ben-Dor
Keyword(s):  
Organic Matter ◽  
Partial Least Squares Regression ◽  
Sustainable Use ◽  
Least Squares Regression ◽  
Dune Sand ◽  
Spectral Detection ◽  
Soil Surveys ◽  
Different Origins ◽  
Limited Accuracy ◽  
Spectral Assessment

Soil surveys are critical for maintaining sustainable use of natural resources while minimizing harmful impacts to the ecosystem. A key soil attribute for many environmental factors, such as CO2 budget, soil fertility and sustainability, is soil organic matter (SOM), as well as its sequestration. Soil spectroscopy is a popular method to assess SOM content rapidly in both field and laboratory domains. However, SOM source composition differs from soil to soil, and the use of spectral-based models for quantifying SOM may present limited accuracy when applying a generic approach to SOM assessment. We therefore examined the extent to which the generic approach can assess SOM contents of different origin using spectral-based models. We created an artificial big dataset composed of pure dune sand as a SOM-free background, which was artificially mixed with increasing amounts of different organic matter (OM) sources obtained from commercial compost of different origins. Dune sand has high albedo and yields optimal conditions for SOM detection. This study combined two methods: partial least squares regression for the prediction of SOM content from reflectance values across the 400–2500 nm region and a soil spectral detection limit (SSDL) to judge the prediction accuracy. Spectral-based models to assess SOM content were evaluated with each OM source as well as with a merged dataset that contained all of the generated samples (generic approach). The latter was concluded to have limitations for assessing low amounts of SOM (<0.6%), even under controlled conditions. Moreover, some of the OM sources were more difficult to monitor than others; accordingly, caution is advised when different SOM sources are present in the examined population.

Estimation of soil organic matter using proximal and satellite sensors after a wildfire in Mediterranean Croatia

2021 ◽  
Author(s):  
Iva Hrelja ◽  
Ivana Šestak ◽  
Igor Bogunović
Keyword(s):  
Organic Matter ◽  
Soil Organic Matter ◽  
Spectral Data ◽  
Near Infrared ◽  
Mean Squared Error ◽  
Nir Spectroscopy ◽  
Soil Samples ◽  
Least Squares Regression ◽  
Macro Scale ◽  
Sentinel 2

&lt;p&gt;Spectral data obtained from optical spaceborne sensors are being recognized as a valuable source of data that show promising results in assessing soil properties on medium and macro scale. Combining this technique with laboratory Visible-Near Infrared (VIS-NIR) spectroscopy methods can be an effective approach to perform robust research on plot scale to determine wildfire impact on soil organic matter (SOM) immediately after the fire. Therefore, the objective of this study was to assess the ability of Sentinel-2 superspectral data in estimating post-fire SOM content and comparison with the results acquired with laboratory VIS-NIR spectroscopy.&lt;/p&gt;&lt;p&gt;The study is performed in Mediterranean Croatia (44&amp;#176; 05&amp;#8217; N; 15&amp;#176; 22&amp;#8217; E; 72 m a.s.l.), on approximately 15 ha of fire affected mixed &lt;em&gt;Quercus ssp.&lt;/em&gt; and &lt;em&gt;Juniperus ssp.&lt;/em&gt; forest on Cambisols. A total of 80 soil samples (0-5 cm depth) were collected and geolocated on August 22&lt;sup&gt;nd&lt;/sup&gt; 2019, two days after a medium to high severity wildfire. The samples were taken to the laboratory where soil organic carbon (SOC) content was determined via dry combustion method with a CHNS analyzer. SOM was subsequently calculated by using a conversion factor of 1.724. Laboratory soil spectral measurements were carried out using a portable spectroradiometer (350-1050 nm) on all collected soil samples. Two Sentinel-2 images were downloaded from ESAs Scientific Open Access Hub according to the closest dates of field sampling, namely August 31&lt;sup&gt;st&lt;/sup&gt; and September 5&lt;sup&gt;th &lt;/sup&gt;2019, each containing eight VIS-NIR and two SWIR (Short-Wave Infrared) bands which were extracted from bare soil pixels using SNAP software. Partial least squares regression (PLSR) model based on the pre-processed spectral data was used for SOM estimation on both datasets. Spectral reflectance data were used as predictors and SOM content was used as a response variable. The accuracy of the models was determined via Root Mean Squared Error of Prediction (RMSE&lt;sub&gt;p&lt;/sub&gt;) and Ratio of Performance to Deviation (RPD) after full cross-validation of the calibration datasets.&lt;/p&gt;&lt;p&gt;The average post-fire SOM content was 9.63%, ranging from 5.46% minimum to 23.89% maximum. Models obtained from both datasets showed low RMSE&lt;sub&gt;p &lt;/sub&gt;(Spectroscopy dataset RMSE&lt;sub&gt;p&lt;/sub&gt; = 1.91; Sentinel-2 dataset RMSE&lt;sub&gt;p&lt;/sub&gt; = 0.99). RPD values indicated very good predictions for both datasets (Spectrospcopy dataset RPD = 2.72; Sentinel-2 dataset RPD = 2.22). Laboratory spectroscopy method with higher spectral resolution provided more accurate results. Nonetheless, spaceborne method also showed promising results in the analysis and monitoring of SOM in post-burn period.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Keywords:&lt;/strong&gt; remote sensing, soil spectroscopy, wildfires, soil organic matter&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Acknowledgment: &lt;/strong&gt;This work was supported by the Croatian Science Foundation through the project &quot;Soil erosion and degradation in Croatia&quot; (UIP-2017-05-7834) (SEDCRO). Aleksandra Per&amp;#269;in is acknowledged for her cooperation during the laboratory work.&lt;/p&gt;

scholarly journals Impact of treated sewage on meiobenthic nematodes: a case study from the Tunisian Refining Industries Company

2022 ◽  
Vol 82 ◽  
Author(s):  
A. Hedfi ◽  
M. Ben Ali ◽  
A. Noureldeen ◽  
H. Darwish ◽  
T. Saif ◽  
...  
Keyword(s):  
Organic Matter ◽  
Environmental Parameters ◽  
The Other ◽  
Treated Sewage ◽  
Before And After ◽  
Bizerte Bay ◽  
De Man ◽  
The Impact

Abstract The main objective of the current study was to assess the impact of the water taken from the ‘Tunisian Refining Industries Company’ on meiobenthic nematodes, before and after a series of treatments in decantation basins followed by its discharge in Bizerte bay, Tunisia. The comparison of environmental parameters of the two types of water was clearly indicative of an improvement in the quality of treated waters after a significant reduction in their loads in hydrocarbons. Overall, the water retained a good quality after being treated by ‘Tunisian Refining Industries Company’ before discharge in the sea. At the end of the experiment, differential responses were observed according to the richness of sediment in organic matter and hydrocarbons. Thus, it was apparent that the nematode assemblage exposed to the treated waters was closer to controls and associated to higher values of abundance, than that under untreated ones. It was also assumed that the species Microlaimus honestus De Man, 1922, Paramonohystera proteus Wieser, 1956 and Cyartonema germanicum Juario, 1972 are sensitive bioindicators of bad environmental statues and of hydrocarbon presence in the environment. On the other hand, Metoncholaimus pristiurus (Zur Strassen, 1894) Filipjev, 1918 would rather be classified as a positive bioindicative species of this type of pollutants.

scholarly journals Linking Shifts in Bacterial Community Composition and Function with Changes in the Dissolved Organic Matter Pool in Ice-Covered Baiyangdian Lake, Northern China

2020 ◽  
Vol 8 (6) ◽  
pp. 883
Author(s):  
Shilei Zhou ◽  
Yue Sun ◽  
Minghui Yu ◽  
Zhenpeng Shi ◽  
Hang Zhang ◽  
...  
Keyword(s):  
Organic Matter ◽  
Bacterial Community ◽  
Dissolved Organic Matter ◽  
Bacterial Community Composition ◽  
Environmental Parameters ◽  
Northern China ◽  
Mantel Test ◽  
Biological Index ◽  
Linear Discriminant ◽  
Baiyangdian Lake

The relationship between CDOM (Chromophoric dissolved organic matter) and the bacterial community was investigated in ice-covered Baiyangdian Lake. The results showed that environmental parameters significantly differed in Baiyangdian Lake, whereas a-diversity was not significantly different. Moreover, the microbial and functional communities exhibited significant differences, and T (Temperature), pH, ORP (Oxidation-reduction potential), DO (Dissolved oxygen), NO3−-N, NH4+-N, and Mn (Manganese) were the main environmental factors of these differences, based on redundancy analysis and the Mantel test. Biomarkers of the microbial and functional communities were investigated through linear discriminant analysis effect size and STAMP analysis. The number of biomarkers in the natural area was highest among the typical zones, and most top functions were related to carbohydrate metabolism. Two protein-like components (C1 and C2) and one humic-like component (C3) were identified by parallel factor analysis, and C1 was positively related to C2 (R = 0.99, p < 0.001), indicating the same sources. Moreover, CDOM significantly differed among the typical zones (p < 0.001). The high biological index, fluorescence index, β:α, and low humification index indicated a strong autochthonous component and aquatic bacterial origin, which was consistent with the results of UV-vis absorption spectroscopy. Network analysis revealed non-random co-occurrence patterns. The bacterial and functional communities interacted closely with CDOM. The dominant genera were CL500-29_marine_group, Flavobacterium, Limnohabitans, and Candidatus_Aquirestis. Random forest analysis showed that C1, C2, and C3 are important predictors of α- and β-diversity in the water bacterial community and its functional composition. This study provides insight into the interaction between bacterial communities and DOM (Dissolved organic matter) in ice-covered Baiyangdian Lake.

scholarly journals ORGANIC COMPOUNDS AS PROXIES OF THE SEDIMENTARY ENVIRONMENTAL QUALITY OF THE MARICÁ-GUARAPINA LAGOON SYSTEM (SE, BRAZIL)

2019 ◽  
Vol 4 (2) ◽  
pp. 159-173 ◽  
Author(s):  
Lazaro Laut ◽  
Maria Virgina Alves Martins ◽  
Pierre Belart ◽  
Maria Lucia Lorini ◽  
Iara Clemente ◽  
...  
Keyword(s):  
Organic Matter ◽  
Rio De Janeiro ◽  
Sedimentary Environment ◽  
Environmental Parameters ◽  
Geochemical Data ◽  
Fine Grained ◽  
Lagoon System ◽  
Se Brazil ◽  
Anthropogenic Contribution

Bottom sediment is a natural trap for organic matter and different kinds of pollutants. The accumulation of large amount of organic matter gives rise to the eutrophication of the aquatic ecosystems. The analyses of the quantity and quality of the organic matter (biopolymers) help to determine the trophic status of coastal ecosystems. The Maricá-Guarapina Lagoon System (MGLS) is located in Rio de Janeiro and is composed by four connected lagoons: Maricá, Barra, Padre and Guarapina. It has been suffering impacts due to the intense and uncontrolled property speculation. Based on this problem, this study aimed to characterize the organic matter (OM) amount and quality in sediments and the relation with the impacted areas in this lagoon system. The collected sediment samples were analyzed for geochemical data combined with grain size and physical-chemical environmental parameters of the bottom water. Statistical results evidenced that the sedimentary environment of the MGLS is heterogenous. The organic matter supplied to the MGLS is provided from different sources but the autochthonous contribution (phytoplanktonic productivity and vegetal detritus from the mangrove fringe) prevails. The anthropogenic contribution was more evident in Padre Lagoon, where the sediments had relatively low TOC contents (0.1-0.8%). The MGLS is accumulating mainly aged organic matter. The most impacted zones were found in Guarapina, Barra and Maricá lagoons, in bottoms of fine-grained sediments, with relatively high TOC and labile biopolymeric compounds (proteins, carbohydrates and lipids) contents, which should evolve into an ever-increasing stage of eutrophication. COMPOSTOS ORGÂNICOS USADOS COMO INDICADORES DA QUALIDADE AMBIENTAL SEDIMENTAR DO SISTEMA LAGUNAR MARICÁ-GUARAPINA (SE DO BRASIL)ResumoO sedimento de fundo constitui uma armadilha natural para a matéria orgânica e diferentes tipos de poluentes. O acúmulo de grande quantidade de matéria orgânica dá origem à eutrofização dos ecossistemas aquáticos. Estimativas de quantidade e qualidade da matéria orgânica (biopolímeros) podem ajudar a determinar o estado trófico dos ecossistemas costeiros. O Sistema Lagunar de Maricá-Guarapina (MGLS), localizado no Estado do Rio de Janeiro (SE do Brasil), é composto por quatro lagunas interconectadas: Maricá, Barra, Padre e Guarapina. Este sistema tem sofrido impactos devido à intensa e descontrolada especulação imobiliária. Neste contexto, este estudo teve como objetivo caracterizar a quantidade e qualidade de matéria orgânica (MO) dos sedimentos do MGLS. Foram obtidos dados geoquímicos e confrontados com resultados granulométricos em amostras de sedimentos coletados em 22 estações de amostragem e analisados parâmetros físico-químicos da água. Os resultados estatísticos evidenciaram que o ambiente sedimentar do MGLS é heterogêneo. Este sistema recebe matéria orgânica de diferentes fontes, sendo, porém, prevalecente a contribuição autóctone (produtividade fitoplanctônica e detritos vegetais dos manguezais existentes na região). A contribuição antropogênica de matéria orgânica foi mais evidente na Lagoa do Padre, onde os sedimentos apresentaram teores de COT relativamente baixos (0,1-0,8%). As zonas mais impactadas foram encontradas em fundos de sedimentos finos, com teores relativamente elevados de COT e de compostos biopoliméricos lábeis (proteínas, carboidratos e lipídios), nas lagunas de Guarapina, Barra e Maricá. Os resultados obtidos revelam também que o MGLS está acumulando principalmente matéria orgânica envelhecida e permitem prever que as referidas áreas podem evoluir para um estágio de cada vez maior grau de eutrofização.Palavras-chave: Lagunas Costeiras Tropicais. Biopolímeros. Eutrofização. Dinâmica Sedimentar.

scholarly journals Response of Fractal Analysis to Soil Quality Succession in Long-Term Compound Soil Improvement of Mu Us Sandy Land, China

2020 ◽  
Vol 2020 ◽  
pp. 1-7
Author(s):  
Haiou Zhang ◽  
Jiancang Xie ◽  
Jichang Han ◽  
Haipeng Nan ◽  
Zhen Guo
Keyword(s):  
Organic Matter ◽  
Sandy Soil ◽  
Sustainable Use ◽  
Organic Matter Content ◽  
Soft Rock ◽  
Clay Content ◽  
Matter Content ◽  
Practical Significance ◽  
Sandy Land ◽  
Mu Us Sandy Land

The degraded aeolian sandy soil in China’s Mu Us Sandy Land requires amendment before it can be suitable for maize or other agricultural production. The addition of material from the local “soft” bedrock can create a new compound soil whose particle composition and structural stability are key issues for sustainable soil development in the region. We used field data from 2010 to 2018 to study the variations in fractal characteristics of compound soil particles at soft rock to sand volume ratios of 1 : 1, 1 : 2, and 1 : 5, along with changes in soil organic matter. Over the study period, all three compound soils showed gradual increases in clay and silt content with corresponding decreasing sand content. The fractal dimension (FD) of particles at ratio 1 : 2 increased by 8.8%, higher than those at 1 : 1 (8.6%) and 1 : 5 (7.7%). The organic matter content (OMC) of particles at ratio 1 : 2 reached a maximum (6.24 ± 0.30 g/kg), an increase of 12 times over the original value. The FD and OMC of particles at ratios 1 : 1 and 1 : 5 were less stable but showed overall increase. The 1 : 2 ratio compound soil was most suitable for maize growth as its clear increase in silt and clay content most improved the texture and OMC of the original sandy soil. Such research has important theoretical and practical significance for understanding the evolutionary mechanism and sustainable use of the compound soil in agriculture within the Mu Us Sandy Land.

scholarly journals Karakteristik habitat dan pola pertumbuhan kepiting kelapa (Birgus latro) di Pulau Ternate dan Kabupaten Halmahera Barat Provinsi Maluku Utara

DEPIK ◽  
2016 ◽  
Vol 5 (2) ◽  
Author(s):  
Rugaya H. Serosero ◽  
Suryani . ◽  
Rina .
Keyword(s):  
Organic Matter ◽  
Air Temperature ◽  
Organic Matter Content ◽  
Environmental Parameters ◽  
Matter Content ◽  
Growth Patterns ◽  
Habitat Characteristics ◽  
Total N ◽  
Substrate Texture ◽  
Total P

Abstrak. Penelitian ini bertujuan untuk mengetahui karakteristik habitat dan pola pertumbuhan kepiting kelapa (Birgus latro) di Takome Pulau Ternate dan Idamdehe Kecamatan Jailolo Propinsi Maluku Utara. Penelitian ini dilaksanakan pada bulan April-Juli 2014. Data yang dikumpulkan adalah tekstur substrat dengan metode pipet, penentuan kandungan nitrat danfosfat tanah dengan metode spektofotometer, pengukuran panjang + rostrum (cp+r) kepiting kelapa dan pola pertumbuhannya. Selain it juga diukur suhu udara, suhu lubang dan kelembaban udara. Hasil penelitian menunjukkan bahwa Idamdehe memiliki karakteristik pantai yang curam, bahkan di beberapa lokasi penangkapan sangat terjal, sedangkan  di lokasi Takome Pulau Ternate memiliki karakteristik pantai yang lebih landai. Tekstur substrat di lokasi Takome Pulau Ternate terdiri atas pasir (55,76 %), debu (18,4%) dan liat (25,84%) dan Stasiun Idamdehe memiliki tekstur pasir (49,17%), debu (25,61%) dan liat (25,22%)dankandungan bahan organik substrat (Total N) di Takome adalah 0,31% dan total P adalah 0,09% sedangkan di Idamdehe Total N adalah 0,19% dan Total P 0,02%. Suhu udara di lokasi Idamdehe berkisar 26-280C dan di Takome 27-280C. Kelembaban udara 73%-98% di Idamdehe dan 71%-90% di Takome. Parameter lingkungan berupa suhu udara, kelembaban udara, tekstur substrat dan kandungan bahan organik di kedua lokasi penelitian mendukung kehidupan kepiting kelapa di habitat alaminya. Pola pertumbuhan kepiting kelapa di kedua lokasi Idamdehe adalah allometrik negatif.Kata kunci: Karakteristik habitat, Idamdehe, Takome, Birgus latro, isometrik, allometrik negatifAbstract. This objectives of the present study were to evaluate the habitat characteristics and growth patterns of the coconut crabs in Takome and Idamdehe waters North Maluku Province. This study was conducted during April-July 2014. The collected data were the substrate texture, nitrate and phosphate contents of soil using spectrophotometric method, length + rostrum (cp+r) of coconut crabs and the growth patterns. In addition, the air temperature, hole temperature and humidity were also recorded during the study. The results showed that Idamdehe waters has precipitous coast, indeed very precipitous in several catching locations, while Takome waters in Ternate Island has sloping coast. The substrate texture of Takome waters in Ternate Island consisted of sands (55.76%), dusts (18.4%) and clays (25.84%), while Idamdehe waters has the substrate texture that consisted of sands (49.17%), dusts (25.61 %) and clays (25.22%). As for organic matter contents of the substrate, Takome waters has 0.31% in total N and 0.09% in total P, while Idamdehe waters has 0.19% in total N and 0.02 % in total P. The air temperature in Idamdehe waters ranged between 26-280C and in Takome waters ranged between 27-280C. Air humidity in Idamdehe waters was 73%-98% and in Takome waters was 71%-90%. The environmental parameters such as temperature, humidity, substrate texture and organic matter content in both locations are suitable for coconut crab growing. The growth pattern of coconut crabs in Idamdehe and Sulamadaha waters were allometric negative pattern.Keywords: Habitat characteristics, Idamdehe, Takome, Birgus latro, isometric, negative allometric.

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