A multi-scale approach to modelling spatial and dynamic ecological patterns for reservoir's water quality management

With growing levels of urbanization and agriculture throughout the world, it is increasingly important that both research and management efforts take into account the effects of this widespread landscape alteration and its consequences for natural systems. Freshwater ecosystems, namely reservoirs, are particularly sensitive to land use changes. In this context, modelling can be very useful, for decision support, as an investigative tool to forecast the outcome of various scenarios, to guide current management in order to meet future targets and to develop integrated frameworks for management accordingly to the Water Framework Directive (WFD). The present paper examined the applicability of a holistic Stochastic-Dynamic Methodology (StDM), coupled with a Cellular Automata (CA) model, in capturing how expected changes at land use level will alter the ecological status of lentic ecosystems, namely at physicochemical and biological levels. The methodology was applied to Portuguese reservoirs located in the Douro's basin and illustrated with a series of stochastic-dynamic and spatial outputs taking into account expected scenarios regarding land use changes. Overall, the simulation results are encouraging since they seem to demonstrate the tool reliability in capturing the stochastic environmental dynamics of the selected metrics facing spatial explicit scenarios. The ultimate goal was to couple monitoring assessment and the described modelling techniques to ease management and decision making regarding the practical implementation of the WFD, both at the scale of the reservoir body and at the scale of the respective river watershed dynamics.     

Comparative network analysis toward characterization of systemic organization for human–environmental sustainability

A preliminary study in comparative ecological network analysis was conducted to identify key assumptions and methodological challenges, test initial hypotheses and explore systemic and network structural characteristics for environmentally sustainable ecosystems. A nitrogen network for the U.S. beef supply chain – a small sub-network of the industrial food system analyzed as a pilot study – was constructed and compared to four non-human carbon and nitrogen trophic networks for the Chesapeake Bay and the Florida Everglades. These non-human food webs served as sustainable reference systems. Contrary to the main original hypothesis, the “window of vitality” and the number of network roles did not clearly differentiate between a human sub-network and the more complete non-human networks. The effective trophic level of humans (a partial estimate of trophic level based on the single food source of beef) was much higher (8.1) than any non-human species (maximum of 4.88). Network connectance, entropy, total dependency coefficients, trophic efficiencies and the ascendency to capacity ratio also indicated differences that serve as hypotheses for future tests on more comprehensive human food webs. The study elucidated important issues related to (1) the steady state assumption, which is more problematic for industrial human systems, (2) the absence or dearth of data on contributions of dead humans and human wastes to feed other species in an integrated food web, (3) the ambiguity of defining some industrial compartments as living versus non-living, and (4) challenges with constructing compartments and trophic transfers in industrial versus non-human food webs. The two main novel results are (1) the progress made toward adapting ecological network analysis (ENA) methodology for analysis of human food networks in industrial cultures and (2) characterizing the critical aspects of comparative ENA for understanding potential causes of the problems, and providing avenues for solutions, for environmental sustainability. Based on this work, construction and comparative network analysis of a more comprehensive industrial human food network seems warranted and likely to provide valuable insights for modifying structures of industrial food networks to be more like natural networks and more sustainable.     

Predicting national sustainability: The convergence of energetic,economic and environmental realities

The “constraint space” dictated by energetic, economic and environmental realities on scenarios for future organization of humanity and nature is explored from the perspective of the energy and resources driving economies. Net energy of energy sources is presented as an index (Emergy Yield Ratio; EYR) that must be evaluated for energy sources to better understand their potential contributions to society, but more important, as an indicator of the changes needed in the future if lower net yielding sources are to be relied upon. An aggregate EYR was calculated for the USA economy and shown to have decreased by 38% since 1950, from 11/1 to 6.8/1. Several measures of efficiency at the scale of national economies are explored and the data suggest that the most efficient economies are also the most energetically intense (as measured by empower intensity). An index of environmental loading is suggested as a measure to evaluate environmental efficacy. An obvious outcome is that the smallest most energetically intense countries have the highest environmental loads, and those with large land area and/or continental shelves have the lowest ratios. An Emergy Sustainability Index (EmSI) is defined, computed for countries, and proposed as a multi-dimensional measure of long-term sustainability. The most sustainable economies are those with the highest EYR and lowest environmental loads.     

Comparative assessment of sustainable development in South American countries on the basis of the Sustainable Society Index

This study reports an overview of the economic, social and environmental performance of the main South American countries (SAC) as measured by the Sustainable Society Index. This is a well-known composite indicator, composed of 21 indicators, grouped in seven categories, covering environmental, social and economic wellbeing dimensions. Thirteen European countries recently incorporated into the European Union (NEUC) are considered as a reference. The study covers the period 2006–2016. The South American Region features significant natural resources and plays an important role in the global economy. However, there is concern about the long-term sustainability of social and economic development, given the high rate of economic growth based on the production of low added-value primary products. Sustainable development requires reasonable balance between economic, social and environmental performance, as well as a sustained and balanced increase in performance associated with those fundamental dimensions. Moreover, it is important to agree on minimum performance levels for all performance indicators, taking into account particular social, economic and environmental realities. SAC feature a clear imbalance in some categories affecting the economic, social and environmental wellbeing dimensions, showing either stagnation or significant decrease in recent years. It can be concluded that in the light of findings reported here, South American countries are far from being on the pathway towards sustainable development.     

Using conservation science to advance corporate biodiversity accountability

Biodiversity declines threaten the sustainability of global economies and societies. Acknowledging this, businesses are beginning to make commitments to account for and mitigate their influence on biodiversity and report this in sustainability reports. We assessed the top 100 of the 2016 Fortune 500 Global companies' (the Fortune 100) sustainability reports to gauge the current state of corporate biodiversity accountability. Almost half (49) of the Fortune 100 mentioned biodiversity in reports, and 31 made clear biodiversity commitments, of which only 5 were specific, measureable, and time bound. A variety of biodiversity-related activities were disclosed (e.g., managing impacts, restoring biodiversity, and investing in biodiversity), but only 9 companies provided quantitative indicators to verify the magnitude of their activities (e.g., area of habitat restored). No companies reported quantitative biodiversity outcomes, making it difficult to determine whether business actions were of sufficient magnitude to address impacts and were achieving positive outcomes for nature. Conservation science can advance approaches to corporate biodiversity accountability by helping businesses make science-based biodiversity commitments, develop meaningful indicators, and select more targeted activities to address business impacts. With the biodiversity policy super year of 2020 rapidly approaching, now is the time for conservation scientists to engage with and support businesses in playing a critical role in setting the new agenda for a sustainable future for the planet with biodiversity at its heart.     

Incorporating basic needs to reconcile poverty and ecosystem services

Conservation managers frequently face the challenge of protecting and sustaining biodiversity without producing detrimental outcomes for (often poor) human populations that depend on ecosystem services for their well-being. However, mutually beneficial solutions are often elusive and can mask trade-offs and negative outcomes for people. To deal with such trade-offs, ecological and social thresholds need to be identified to determine the acceptable solution space for conservation. Although human well-being as a concept has recently gained prominence, conservationists still lack tools to evaluate how their actions affect it in a given context. We applied the theory of human needs to conservation by building on an extensive historical application of need approaches in international development. In an innovative participatory method that included focus groups and household surveys, we evaluated how human needs are met based on locally relevant thresholds. We then established connections between human needs and ecosystem services through key-informant focus groups. We applied our method in coastal East Africa to identify households that would not be able to meet their basic needs and to uncover the role of ecosystem services in meeting these. This enabled us to identify how benefits derived from the environment were contributing to meeting basic needs and to consider potential repercussions that could arise through changes to ecosystem service provision. We suggest our approach can help conservationists and planners balance poverty alleviation and biodiversity protection and ensure conservation measures do not, at the very least, cause serious harm to individuals. We further argue it can be used as a basis for monitoring the impacts of conservation on multidimensional poverty.     

Spatial aggregation and the value of natural capital

Location matters for the value of capital assets. The value of changes in natural capital wealth can depend on whether natural capital asset prices are measured locally and then aggregated or whether average values are applied over aggregate representative areas. Spatial heterogeneity of resource characteristics and institutions impact approximations of the intertemporal welfare function and accounting price function because when spatial aggregation precedes valuation it implies greater arbitrage opportunities leading to more inelastic shadow (accounting) price functions than when valuation is done locally and then aggregated. Aggregation of observed values across varying resource and institutional characteristics can lead to omitted variables bias. We illustrate these results in the context of groundwater in the Kansas High Plains Aquifer and demonstrate that the accounting price function is less elastic when the accounting price is measured locally. Failure to measure locally and then aggregate could lead to undervaluing scarce resources and overvaluing plentiful ones, which biases wealth accounts in favor of passing the non-declining wealth sustainability test.     

基于农户视角的粮食主产县耕地健康评价与诊断--以湖南省湘阴县为例

耕地健康关乎国家粮食安全。依据PSR理论模型构建耕地健康评价指标体系,利用湖南省岳阳市湘阴县农户调查数据,运用层次分析法、TOPSIS法和障碍度模型评价了该县耕地健康状况并诊断其障碍因子。结果表明:湘阴县耕地健康综合指数为0.488,耕地健康等级为中度亚健康;耕地健康压力指数、状态指数和响应指数依次分别为0.597、0.526和0.418;轮作休耕、种植绿肥、单位播种面积有机肥施用量、粮食单产、耕作层厚度、单位播种面积化肥施用量、灌溉保证率是制约湘阴县耕地健康的主要障碍因子。     

Corporate Social Responsibility (CSR) practices developed by Brazilian companies: an exploratory study

In a world where companies have major influence over the economy, politics, and environment, they must be held accountable for their actions. With this in mind, the publication of sustainability reports is in a company’s best interest, since the disclosure of Corporate Social Responsibility (CSR) and sustainable practices can bring enormous advantages, largely related to a company’s image. The amount of information presented in sustainability reports turns them into valuable sources for research data, allowing analyses related to CSR and management practices, stakeholder relations, language used, among others. However, there is no a paper in the literature that analyzes theses information jointly for the Brazilian companies, and then we decided to explore this theme. This research aimed to identify advances and gaps of CSR practices performed by Brazil companies, through the analysis of 30 sustainability reports published between 2014 and 2015. The main findings indicate that, in general, the analyzed companies are experienced in sustainability reporting; however, there is still room for improvements, including a better mapping and reporting of practices involving the integration of CSR to organizational structure, stakeholder engagement, and continuous improvement practices.     

Greening the structural change process: ranking sustainability of countries in climate change

This paper proposes an analytical toolkit to measure the sustainability of industrialization across countries. Drawing from a methodology developed to analyze economic development as a process of modernization, it ranks countries on the basis of the emissions they produce and their stage of development. The proposed index penalizes environmental pressures taking into account the modernization level of a country. The paper also proposes an assessment of the environmental performance of countries at the same level of modernization. It introduces the notion of policy space as the difference between the best and worst environmental performer at a given level of modernization. An important finding of the paper is that the magnitude of the policy space is not homogenous across different levels of income and environmental targets.