Copper oxide nanoparticles can induce toxicity to the freshwater shredder Allogamus ligonifer

Increased commercialisation of nanometal-based products augments the possibility of their deposition into aquatic ecosystems; this, in turn, may pose risks to aquatic biota and associated ecological functions. Freshwater invertebrate shredders mostly use microbially-colonized plant litter as food resource and play an important role in aquatic detritus food webs. We assessed lethal effects of nanoCuO on the shredder Allogamus ligonifer (Trichoptera, Limnephilidae) by determining the concentration that induced 50% of death (LC₅₀), and sublethal effects of nanoCuO on the feeding behaviour and growth of the shredder by exposing the animals to: (i) stream water supplemented with nanoCuO and microbially-colonized leaves, and (ii) stream water (without nanoCuO) and microbially-colonized leaves pre-exposed to nanoCuO. Results from acute lethal tests showed that the 96 h LC₅₀ of nanoCuO was very high (569 mg L⁻¹). In the absence of nanoparticles, leaf consumption rate was 0.27 mg leaf DM mg⁻¹ animal DM d⁻¹ and the shredder growth rate was 56 μg animal DM mg⁻¹ animal DM d⁻¹. A significant inhibition in leaf consumption rate (up to 47%) and invertebrate growth rate (up to 46%) was observed when shredders were exposed to the higher tested sublethal concentration of nanoCuO (75 mg L⁻¹) through either contaminated stream water or pre-contaminated food. The exposure to increased nanoCuO concentration via water or pre-contaminated food led to higher accumulation of copper in the larval body. Leached water-soluble ionic copper from the nanoCuO adsorbed or accumulated in the shredder (up to 10.2% of total Cu) seemed to influence the feeding behaviour and growth of the shredder.     

Seasonal variability of chlorophyll-a and oceanographic conditions in Sabah waters in relation to Asian monsoon—a remote sensing study

A study was conducted to investigate the influence of Asian monsoon on chlorophyll-a (Chl-a) content in Sabah waters and to identify the related oceanographic conditions that caused phytoplankton blooms at the eastern and western coasts of Sabah, Malaysia. A series of remote sensing measurements including surface Chl-a, sea surface temperature, sea surface height anomaly, wind speed, wind stress curl, and Ekman pumping were analyzed to study the oceanographic conditions that lead to large-scale nutrients enrichment in the surface layer. The results showed that the Chl-a content increased at the northwest coast from December to April due to strong northeasterly wind and coastal upwelling in Kota Kinabalu water. The southwest coast (Labuan water) maintained high concentrations throughout the year due to the effect of Padas River discharge during the rainy season and the changing direction of Baram River plume during the northeast monsoon (NEM). However, with the continuous supply of nutrients from the upwelling area, the high Chl-a batches were maintained at the offshore water off Labuan for a longer time during NEM. On the other side, the northeast coast illustrated a high Chl-a in Sandakan water during NEM, whereas the northern tip off Kudat did not show a pronounced change throughout the year. The southeast coast (Tawau water) was highly influenced by the direction of the surface water transport between the Sulu and Sulawesi Seas and the prevailing surface currents. The study demonstrates the presence of seasonal phytoplankton blooms in Sabah waters which will aid in forecasting the possible biological response and could further assist in marine resource managements.     

Manifestation of an advanced fuzzy logic model coupled with Geo-information techniques to landslide susceptibility mapping and their comparison with logistic regression modelling

Landslides are very common natural problems in the Selangor area of Malaysia due to the improper use of landcover and tropical rainfall. There are many landslide susceptibility analyses such as statistical, bivariate and data mining approaches exist in the literature. This paper presents the use of fuzzy logic relations for landslide susceptibility mapping on part of Selangor area, Malaysia, using a Geographic Information System (GIS) and remote sensing data. At first, landslide locations were identified in the study area from the interpretation of aerial photographs and satellite images, supported by extensive field surveys. Topographic and geological data and satellite images were collected, processed, and constructed into a spatial database using GIS and image processing. Thirteen landslide conditioning factors such as slope gradient, slope exposure, plan curvature, altitude, stream power index, topographic wetness index, distance from drainage, distance from road, lithology, distance from faults, soil, landcover and normalized difference vegetation index (ndvi) were extracted from the spatial database. These factors were analyzed using fuzzy logic relations to produce the landslide susceptibility maps. Using the landslide conditioning factors and the identified landslides, the fuzzy membership values were calculated. Then fuzzy algebraic operators were applied to the fuzzy membership values for landslide susceptibility mapping. Finally, the ROC curves for all landslide susceptibility models were drawn and the area under curve values were calculated. Landslide locations were used to validate results of the landslide susceptibility maps and the validation results showed 94% accuracy for the fuzzy gamma operator employing all parameters produced in the present study as the landslide conditioning factors. Results showed that, among the fuzzy relations, in the case in which the gamma operator (λ =  0.975) showed the best accuracy (94.73%) while the case in which the fuzzy algebraic Or was applied showed the worst accuracy (84.76%). The landslide susceptibility maps produced by the fuzzy gamma operators shows similar trends as those obtained by applying logistic regression procedure by the same author and indicate that fuzzy relations results perform slightly better than the earlier method. Qualitatively, the model yields reasonable results which can be used for preliminary land-use planning purposes.     

Migrants,land markets and carbon emissions in Jambi,Indonesia: Land tenure change and the prospect of emission reduction

Policies designed to reduce land-based carbon emissions require a good understanding of the complex connections between state-sanctioned concessions, forest conversion, informal land markets and migrants. Our case study in the peat forests of the Tanjung Jabung Barat (TanJaBar) regency of Jambi, Indonesia aimed to explore relations between four key stakeholder groups: the state, local communities, migrants, and state-sanctioned concessions. We hypothesized that current land use patterns are shaped by insecurity in formal forest tenure alongside informal land tenure arrangements with migrants. In analyzing the six two-way relationships between the four stakeholder groups, we found that interactions between the stakeholders have changed local norms and practice, causing land conflicts and contested claims that need to be explicitly addressed in efforts to reduce carbon emissions in TanJaBar. Relational concepts of land rights between migrants and local community leaders are informed by social identity, expectations of investment opportunities, insecure customary forest tenure and competing land use policies. Migrants act as intermediaries in shaping the land tenure system and shift the balance of power between local communities, the state, and business concessions. We conclude that effective and equitable implementation of national Reducing Emissions from Deforestation and Forest Degradation+ (REDD+) programs will need to recognize underlying land ownership dynamics, power struggles and strategic positioning among stakeholders across scales. Obtaining free and prior informed consent (FPIC) from all relevant stakeholders is a major challenge given this complexity. Low emission development strategies will require recognition of a reality beyond large-scale concessions and traditional local communities.     

Heterogeneity, collective action and management sustainability in common property forest resources: case study from the Indian state Odisha

Several studies have revealed that the presence of heterogeneity amongst the user groups of common property natural resources considerably affects the effectiveness of resource management and their sustainable use. Primary research conducted in six sample villages from three districts of the Indian state Odisha has found that heterogeneity in economic and social dimensions amongst the members of the management committee acts as major determinants in respect of common property forest resource management. The findings of this piece of work reveal that common property forests are best managed in the villages where the management committee is homogeneous by both social and economic considerations; better managed where the committee members are economically homogeneous but socially heterogeneous; and least managed where the members are socially homogeneous but economically heterogeneous. The same result has been obtained from the composite index developed for the user group’s assessment about the functioning of the forest management institutions in the three study districts of the state Odisha.     

High consumption of pesticides in agricultural fields leads to prevalence of cancer cases in rural pockets of eastern India: A case study

This study was performed to evaluate the carcinogenic health risk of pesticides used in agricultural field in rural pockets of eastern India. The analysis of pesticide residue in rice grain sample was performed by Gas Chromatography Mass Spectrometry (GC-MS). It was observed that for pesticide DDT, the HR values was ranging between 0.5 to 3.2 and for lindane HR was 0.4 to 1.1, respectively. The DDT and Lindane exhibited HR values >1 in some sampling sites which revealed the carcinogenic effects and HR <1 in some sampling sites which revealed non carcinogenic effects of same pesticide. These results revealed a clear indication of potential carcinogenic health risk to human health through consumption of contaminated rice in some areas of Bargarh district. DDT has a long half-life, so it persists in the environment for a longer period of time and induces carcinogenic risk to human health predominantly than other pesticide lindane. A case study on cancer prevalence in Bargarh district was also carried out to support the findings of quantitative analysis. The primary data collected from the cancer affected area by personal questionnaires method to the person concern and the secondary data collected from the Bargarh District Head Quarters Hospital's register. The cancer death reported by the from the year 2015 to 2021 was 320, 380, 293, 323, 278, 409, 346 in the year of 2015, 2016, 2017, 2018, 2019, 2020, 2021 respectively, with the total number of 2349 cases. From the questionnaire data, it was observed that the occurrence of male and female cancer cases was 51.75% and 48.25%, respectively. Therefore, it was concluded that there was no significant difference in gender wise cancer prevalence. The most affected age group was 51–60, that is, 26.92% followed by 41–50, that is, 23.42%. Therefore, it was concluded that the middle-aged adults (40–60) were more vulnerable to the cancer than young adults (3–40) and old adults (60–100). The most prevalent cancer was breast (22.72%) followed by stomach (14.33%).     

Effect of human use,season and habitat on ungulate density in Kanha Tiger Reserve,Madhya Pradesh,India

Conservation practitioners require strata specific, seasonal species densities for habitat management. Herein, we use stratified distance sampling in Kanha Tiger Reserve (KTR) with 200 spatial transects and an effort of 1200 km walk in the year 2013. Analysis was done to access (a) impact of human use and (b) effect of habitat and season on ungulate densities in KTR. While a single detection function for each species was used for estimating density within human-restricted core and multiple use buffer of KTR, species-specific seasonal detections were modelled for each habitat. Ungulate biomass was 4.8 times higher in the core area compared with the buffer zone. The core supported a herbivore density and biomass of 50 ± 4.80/km² and 26,806 ± 2573 kg/km², respectively. Chital were found to be most abundant, having a density of 30.1 ± 4.34/km² and contributing 33 % of the biomass with a habitat preference for grasslands (106 ± 39/km²) in summer and winter. Sambar had highest density (15.4 ± 3.34/km²) in bamboo-mixed habitat, in both seasons. Gaur contributed 39 % of the ungulate biomass and showed a seasonal shift in density from sal forests (9.65 ± 3.55/km²) in summer to miscellaneous forests (8.13 ± 1.94/km²) in winter. Barasingha were restricted to grasslands with similar summer and winter densities of 1.56 ± 0.76/km². Chousingha were rare (0.1 ± 0.04/km²), found mostly in miscellaneous forests and plateau grasslands. Grassland and bamboo-mixed forests supported 58 % of the total ungulate biomass. Management for an optimal habitat mosaic that maintains ungulate diversity, addresses the specific needs of endangered species and maximizes ungulate biomass is recommended.     

Effect of sewage water on the growth and yield parameters of wheat and blackgram with different fertilizer levels

Impact of biologically treated domestic sewage water was studied on the growth and yield attributing characters of wheat and blackgram under different fertilizer levels in the field condition. There was no significant difference on the yield and yield attributing characters of wheat. However, yield attributing characters like number of tillers/plant, panicle length (cm), number of grains/panicle and 1,000 grain weight showed increasing trend to the tune of 13.29, 1.59. 5.49 and 3.79 per cent respectively over the tubewell irrigated crop. Yield was also increased to the tune of 3.63 per cent when the crop was irrigated with sewage water. Interactions between irrigation and fertilizer levels were also insignificant. However, sewage water with N60P45K45 responded better on tillering, panicle length, number of grains/panicle and yield of wheat. In case of blackgram, treated sewage water had no significant effect on the grwoth and yield attributing characters, rather sewage water had some negative effect on these parameters. Interactions between irrigation and fertilizer levels were insignificant. But tubewell irrigation with N10P10K10 was more responsive on growth parameters. When the crop was grown with tubewell irrigation and without fertilizer, yield attributing characters were more positively responded.