Application of Fair Trade certification for wild plants: lessons from a FairWild project in India

Based on a study of an experimental wild plant certification project implemented within a tribal community in India, this paper explores how wild plant collectors respond to two contradictory objectives of certification, namely, conserving a targeted plant species while promoting its sale. By providing economic incentives through certification, the project aimed to induce a shift from the collection of immature berries to mature berries from a targeted tree species. However, the majority of the collectors increased their harvests of mature berries while continuing to collect the same quantities of immature berries. This unanticipated project outcome can be attributed to the unique nature of wild plants as an uncertain income source that requires no investment. Evidently, collectors have developed their own concepts of ecological and economic sustainability derived from this unique income source endowed by nature, and have incorporated the new economic opportunity into their own natural resource management strategies.     

Cost shifting and other perverse incentives in biodiversity offsetting in India

Biodiversity offsetting aims to compensate for development‐induced biodiversity loss through commensurate conservation gains and is gaining traction among governments and businesses. However, cost shifting (i.e., diversion of offset funds to other conservation programs) and other perverse incentives can undermine the effectiveness of biodiversity offsetting. Additionality—the requirement that biodiversity offsets result in conservation outcomes that would not have been achieved otherwise—is fundamental to biodiversity offsetting. Cost shifting and violation of additionality can go hand in hand. India's national offsetting program is a case in point. Recent legislation allows the diversion of offset funds to meet the country's preexisting commitments under the United Nations Framework Convention on Climate Change (UNFCCC) and United Nations Convention on Biological Diversity (CBD). With such diversions, no additional conservation takes place and development impacts remain uncompensated. Temporary additionality cannot be conceded in light of paucity of funds for preexisting commitments unless there is open acknowledgement that fulfillment of such commitments is contingent on offset funds. Two other examples of perverse incentives related to offsetting in India are the touting of inherently neutral offsetting outcomes as conservation gains, a tactic that breeds false complacency and results in reduced incentive for additional conservation efforts, and the clearing of native vegetation for commercial plantations in the name of compensatory afforestation, a practice that leads to biodiversity decline. The risks accompanying cost shifting and other perverse incentives, if not preempted and addressed, will result in net loss of forest cover in India. We recommend accurate baselines, transparent accounting, and open reporting of offset outcomes to ensure biodiversity offsetting achieves adequate and additional compensation for impacts of development.     

The widening urbanization gap between the Three Northeast Provinces and the Yangtze River Delta under China’s economic reform from 1984 to 2014

Urbanization has created a significant gap between the Three Northeast Provinces (TNP) and the Yangtze River Delta (YRD) since China’s reform and opening-up. In this study, we explain this problem by employing an urban expansion index, spatial hierarchical clustering, the Zipf-PLE model, fractal theory, and time-series analysis. Statistical data on the built-up area, population, and gross domestic product were downloaded from the National Bureau of Statistics of China. The results revealed the following. (1) During the stage of the planned economy, as a result of the significant government investment in development, the urban built-up areas in the TNP and the YRD reached 1867 and 757 km², respectively, in 1984. (2) During the stage of the socialist market economy, the urban built-up area of the YRD experienced rapid growth over the 30 years from 1984 to 2014 with a rate of increase of 668.8%, which was higher than that of the TNP (139.9%). In 2014, the urban built-up areas of the TNP and the YRD were 4479 and 5820 km², respectively. (3) Locational advantages had significant effects on urban development after China’s economic reform. The coastal cities of the YRD had higher rates of increase of the built-up areas. By contrast, the border cities of the TNP had lower rates of increase. Finally, this paper finds that the socialist market economy exhibited more efficiency in promoting urban expansion and economic development. The results are significant for generating balanced and sustainable regional development strategies in the future.     

Organochlorine Residues in Coastal Birds From the Vellar River Watershed Areas,Parangipettai, Southern India

Organochlorine contaminants (HCHs, DDTs and PCBs) in the muscle tissues of 12 bird species collected from Vellar River watershed areas (S. India) were determined. the accumulation pattern of organochlorine residues in birds of different feeding groups for HCHs and PCBs was: scavengers > inland piscivores > coastal piscivores > insectivores. the pattern for DDTs was: coastal piscivores > scavengers > insectivores > inland piscivores. Scavengers accumulated all the three organochlorines to a higher degree than the other groups of birds. Marked variations in the accumulation pattern by different species and individuals of birds to the same and different organochlorine residues were observed. the differences in the accumulation pattern of residues in different species of birds with similar feeding habits could be attributed to different feeding areas and because migrants are exposed to contaminants in different geographical locations. HCH residues were generally found in higher concentrations than DDTs, reflecting increasing use of HCH pesticides since banning of DDT for agriculture. Levels of PCBs were lower than in birds in developed countries. Results are discussed in relation to future pest control and industrialisation in India.     

Butyltin compounds and organochlorine residues in green mussel (Perna viridis L.) from India

Butyltin compounds (BTs) and organochlorine residues (OCs) were determined in green mussel (Perna viridis L.) collected along the coastal waters of India in 1994 and 1995 to elucidate their contamination levels and distribution. BTs were detected in all of the mussel samples, ranging from 2 to 378 ng/g wet wt, which indicated that BTs are widely distributed, with elevated concentrations in intense boating areas. BTs concentrations in green mussels were lower than those reported for developed nations as well as developing countries such as Thailand. Concentrations of OCs were much lower than those of BTs. Among OCs examined, DDTs were found to be greatest, followed by HCHs, PCBs, CHLs and HCB. Considering the fact that the usage of tributyltin (TBT), DDTs and HCHs are not controlled in India, their contamination in the aquatic environment may increase unless regulatory measures are imposed. To our knowledge, this is a first report on the detection of BTs in Indian mussels.     

Development of socio-economic impact assessment methodology applicable to large water resource projects in India

SUMMARY

The genesis of socio-economic impact assessment (SIA) in India is pressure from funding agencies like the World Bank, Asian Development Bank, and similar institutions. Of late, these institutions have stressed appraisal of environmental concerns as a pre-condition for financial support to large infra-structure projects. However, SIA studies are easier to conceptualise than to implement, because the issues involved are nebulous, complex, highly nuanced, difficult to define, and not easily amenable to quantification. These are some of the reasons for the cursory treatment of socioeconomic impact studies in India as a formality to satisfy monitoring and funding agency requirements and not as a tool for ensuring maximum social good through the developmental process. However, proper implementation of the concept of SIA in essential in attaining the goals of sustainable development. Ensuring social justice, i.e. preventing the continued impoverishment, displacement, social dislocation, and marginalisation of the weaker sections of Indian society, who always seem to bear the burden of adverse effects of such large infra-structure projects in disproportionate numbers, is also a goal of SIA. Increasing ambivalent attitudes and mounting opposition towards the implementation of large water resources projects of late in India necessitate systematic, transparent, and exhaustive consideration of all relevant socioeconomic issues before implementation of such projects. The objective of this study was to develop a comprehensive methodology for SIA for large water resource projects in India. The methodology was based on the review of the literature and other means and implicitly addresses the major goals of SIA — sustainable development and the achievement of social justice related to development.     

Groundwater depletion in India: Social losses from costly well deepening

We develop a dynamic groundwater model that incorporates both groundwater pumping and investment in deeper wells and apply the model to the arid, alluvial aquifer region of Northern India that is experiencing rapid depletion. We compute the potential benefits of regulating groundwater use by comparing the net benefits of groundwater under optimal management to the net benefits under a common pool regime with two different cost structures: one with flat electricity tariffs, which are widespread in India, and a second with full marginal cost electricity pricing. Using numerical simulation, we find that the opportunity to invest in deeper wells significantly exacerbates the common pool problem and suggests the potential for large benefits (66% of common pool benefits) from optimally managing groundwater use or new drilling. Flat tariffs exacerbate the problem, but large gains (almost 23%) remain even if farms are charged the full marginal cost of electricity.     

Spatial Distribution of Forest Fires and Controlling Factors in Andhra Pradesh, India Using Spot Satellite Datasets

Fires are one of the major causes of forest disturbance and destruction in several dry deciduous forests of southern India. In this study, we use remote sensing data sets in conjunction with topographic, vegetation, climate and socioeconomic factors for determining the potential causes of forest fires in Andhra Pradesh, India. Spatial patterns in fire characteristics were analyzed using SPOT satellite remote sensing datasets. We then used nineteen different metrics in concurrence with fire count datasets in a robust statistical framework to arrive at a predictive model that best explained the variation in fire counts across diverse geographical and climatic gradients. Results suggested that, of all the states in India, fires in Andhra Pradesh constituted nearly 13.53% of total fires. District wise estimates of fire counts for Andhra Pradesh suggested that, Adilabad, Cuddapah, Kurnool, Prakasham and Mehbubnagar had relatively highest number of fires compared to others. Results from statistical analysis suggested that of the nineteen parameters, population density, demand of metabolic energy (DME), compound topographic index, slope, aspect, average temperature of the warmest quarter (ATWQ) along with literacy rate explained 61.1% of total variation in fire datasets. Among these, DME and literacy rate were found to be negative predictors of forest fires. In overall, this study represents the first statewide effort that evaluated the causative factors of fire at district level using biophysical and socioeconomic datasets. Results from this study identify important biophysical and socioeconomic factors for assessing ‘forest fire danger’ in the study area. Our results also identify potential ‘hotspots’ of fire risk, where fire protection measures can be taken in advance. Further this study also demonstrate the usefulness of best-subset regression approach integrated with GIS, as an effective method to assess ‘where and when’ forest fires will most likely occur.     

Short-term Emissions of Ammonia and Carbon Dioxide from Cattle Urine Contaminated Tropical Grassland Microcosm

The study was designed to understand the emissions of ammonia (NH₃) and carbon dioxide (CO₂) from a single cattle urination event on a tropical grassland and underline the significance of the emissions in the context of huge animal population grazing on large pasture areas in some countries. Emissions of ammonia (NH₃) and carbon dioxide (CO₂) were monitored for three weeks from a tropical grassland (dominated by Cynodon dactylon Pers.) microcosm contaminated with cow and buffalo urine. The grassland microcosms were treated with urine (50 and 100 ml of each) only once and irrigated with water once every week. Ammonia was sampled by an automatic sampling system comprising of a vacuum pump, three-way stopcocks and rubber tubing and an impinger containing suitable absorbing solution (H₂SO₄), connected to the tubing suitably. The sampled gas, after sucked by the vacuum pump and absorbed in H₂SO₄, was allowed to enter the closed microcosm again maintaining internal pressure of the microcosm. Carbon dioxide was sampled by absorption in an alkali (NaOH) trap inside the microcosm. Both NH₃ and CO₂ emissions were highly variable temporally and there was no continuous increasing or decreasing emission trend with time. Respectively, 45 and 46% of total NH₃-N were emitted within first 48 h from 50 and 100 ml cow urine application while the corresponding values for buffalo urine were 34 and 32%. Total NH₃-N emissions, integrated for sampling days (i.e. 1, 2, 3, 4, 6, 15, 18 and 21st) were 11 and 6% in cow and 8 and 5% in buffalo urine, of the total-N added through 50 and 100 ml urine samples. Carbon dioxide emissions were standardized at 25 ^∘C by using a suitable formula which were lower than actual emissions at actual soil temperature (> 25 ^∘C). Carbon dioxide emission rates were classified on the basis of soil repiratory classification and classes ranged from moderately low soil activity up to unusually high soil activity, the latter observed only on very few sampling days. Grasses in the microcosm had shown appreciable growth after urine application. Although variable and somewhat unpredictable, emissions were appreciable and that too only from a patch of single urination, indicating to the huge magnitude of total emissions under the scenario of thousands of cattle grazing on hundreds of acres of grasslands in a tropical country.     

Effect of metallic pollutants on the physiology of lichen, Pyxine subcinerea Stirton in Garhwal Himalayas

Chl. a, Chl. b, total Chl., Carotenoid, Protein and OD 435/OD 415 ratio were measured to estimate the possible damage caused by the metallic pollutants in the lichen, Pyxine subcinerea Stirton collected from four different sites of Srinagar Garhwal, Uttaranchal, India. Multiple correlation analysis revealed significant correlation (P < 0.001) among the Fe, Ni, Cu, Cr, Zn and Pb metals analysed. Cd did not correlate with any other metals except Fe (P < 0.05). Cu, Pb and Zn, are the main constituents of the vehicular emissions had significant positive correlation (P < 0.001) with protein content while, the OD 435/OD 415 ratio values decreased statistically (P < 0.001) with increase in amount of Cu, Pb and Zn.