生态足迹（ecological footprint）

生态足迹（ecological footprint）指某一特定人群的活动所产生的生态影响所涉及的空间。该指标最早由加拿大不列颠哥伦比亚大学规划与资源生态学教授William Reese提出。     

Does income growth relocate ecological footprint?

The aim of this paper is to investigate whether countries tend to relocate their ecological footprint as they grow richer. The analysis is carried out for a panel of 116 countries by employing the production and import components of the ecological footprint data of the Global Footprint Network for the period 2004–2008. With few exceptions, the existing Environmental Kuznets Curve (EKC) literature concentrates only on the income-environmental degradation nexus in the home country and neglects the negative consequences of home consumption spilled out. Controlling for the effects of openness to trade, biological capacity, population density, industry share and energy per capita as well as stringency of environmental regulation and environmental regulation enforcement, we detect an EKC-type relationship only between per capita income and footprint of domestic production. Within the income range, import footprint is found to be monotonically increasing with income. Moreover, we find that domestic environmental regulations do not influence country decisions to import environmentally harmful products from abroad; but they do affect domestic production characteristics. Hence, our findings indicate the importance of environmental regulations and provide support for the “Pollution Haven” and “Race-to-the-Bottom” hypotheses.     

Improving odour assessment in LCA—the odour footprint

Purpose

Odour is an important aspect of systems for human and agricultural waste management and many technologies are developed with the sole purpose of reducing odour. Compared with greenhouse gas assessment and the assessment of toxicity, odour assessment has received little attention in the life cycle assessment (LCA) community. This article aims to redress this.

Methods

Firstly, a framework for the assessment of odour impacts in LCA was developed considering the classical LCA framework of emissions, midpoint and endpoint indicators. This suggested that an odour footprint midpoint indicator was worth striving for. An approach to calculating an areal indicator we call “odour footprint”, which considers the odour detection threshold, the diffusion rate and the kinetics of degradation of odourants, was implemented in MATLAB. We demonstrated the use of the characterisation factors we calculated in a case study based on odour removal technology applied to a pig barn.

Results and discussion

We produced a list of 33 linear characterisation factors based on hydrogen sulphide equivalents, analogous to the linear carbon dioxide equivalency factors in use in carbon footprinting, or the dichlorobenzene equivalency factors developed for assessment of toxic impacts in LCA. Like the latter, this odour footprint method does not take local populations and exposure pathway analysis into account—its intent is not to assess regulatory compliance or detailed design. The case study showed that despite the need for materials and energy, large factor reductions in odour footprint and eutrophication potential were achieved at the cost of a smaller factor increase in greenhouse emissions.

Conclusions

The odour footprint method is proposed as an improvement on the established midpoint method for odour assessment in LCA. Unlike it, the method presented here considers the persistence of odourants. Over time, we hope to increase the number of characterised odourants, enabling analysts to perform simple site-generic LCA on systems with odourant emissions.     

YUPI<Superscript>®</Superscript>, a regional footprint calculator

Purpose

Many tools to quantify the environmental impact of human decisions have been developed, but all of them seem to have a limited application at the regional or local level. A free-of-charge, Argentina-based personal footprint calculator software (YUPI^®) has been developed in order to raise awareness among local citizens about the environmental impacts generated by their daily habits. The extensive use of the tool will generate information suitable for future scientific studies based on local data.

Methods

The software calculates the ecological, carbon, and water footprints of individuals, implementing specific regional data from Argentina developed by the CLIOPE group, complemented with data from the Water Footprint Network and the Global Footprint Network. The calculator was developed focusing on interface attractiveness, ease of use, language simplicity, and a good trade-off between completion time and fullness.

Results and discussion

The YUPI^® software allows its users to understand at a glance their contribution to the environmental impacts of modern society and to quantify the reduction opportunities they have at hand. The program’s language and variables reflect local lifestyle choices, making the filling process accessible for children. The calculator was placed online as an educational tool for teachers and students from all educational levels, and it was also used by visitors in local science and educational fairs. Valuable data was collected for future initiatives on impact mitigation.

Conclusions

Amplified by the mass media, the new tool has helped raise awareness and discussion about the individual environmental footprint, both in the educational and in the domestic terrain. The strategy of creating a simple, easily administered, and widely available quiz helped bridge the gap between the academy and the people, making available to them the continuously updated information generated by the research groups. This is facilitating citizen not only to understand the complexity of the environmental problems but also to take informed actions leading to their mitigation.

     

Carbon and water footprint of coffee consumed in Finland—life cycle assessment

The International Journal of Life Cycle Assessment - Coffee is one of the most widely grown cash crops globally, but there are few scientific articles on its carbon footprint and water scarcity...     

Scale invariance in biology: coincidence or footprint of a universal mechanism?

In this article, we present a self-contained review of recent work on complex biological systems which exhibit no characteristic scale. This property can manifest itself with fractals (spatial scale invariance), flicker noise or 1/f-noise where f denotes the frequency of a signal (temporal scale invariance) and power laws (scale invariance in the size and duration of events in the dynamics of the system). A hypothesis recently put forward to explain these scale-free phenomomena is criticality, a notion introduced by physicists while studying phase transitions in materials, where systems spontaneously arrange themselves in an unstable manner similar, for instance, to a row of dominoes. Here, we review in a critical manner work which investigates to what extent this idea can be generalized to biology. More precisely, we start with a brief introduction to the concepts of absence of characteristic scale (power-law distributions, fractals and 1/f-noise) and of critical phenomena. We then review typical mathematical models exhibiting such properties: edge of chaos, cellular automata and self-organized critical models. These notions are then brought together to see to what extent they can account for the scale invariance observed in ecology, evolution of species, type III epidemics and some aspects of the central nervous system. This article also discusses how the notion of scale invariance can give important insights into the workings of biological systems.     

Integrating ecological and water footprint accounting in a multi-regional input–output framework

Carbon, ecological, and water footprints (CF, EF, and WF) are accounting tools that can be used to understand the connection between consumption activities and environmental pressures on the Earth's atmosphere, bioproductive areas, and freshwater resources. These indicators have been gaining acceptance from researchers and policymakers but are not harmonized with one another, and ecological and water footprints are lacking in their representation of product supply chains. In this paper we integrate existing methods for calculating EF and WF within a multi-regional input–output (MRIO) modelling framework that has already been successfully applied for CF estimation. We introduce a new MRIO method for conserving the high degree of product detail found in existing physical EF and WF accounts. Calculating EF and WF in this way is consistent with the current best practice for CF accounting, making results more reliable and easier to compare across the three indicators. We discuss alternatives for linking the MRIO model and the footprint datasets and the implications for results. The model presented here is novel and offers significant improvements in EF and WF accounting through harmonization of methods with CF accounting, preservation of product-level detail, comprehensive inclusion of sectors of the global economy, and clear representation of flows along supply chains and international trade linkages. The matrix organization of the model improves transparency and provides a structure upon which further improvements in footprint calculation can be built. The model described here is the first environmentally extended MRIO model that harmonizes EF and WF accounts and aligns physical unit data of product use with standard economic and environmental accounting.     

Water Footprint Symposium: where next for water footprint and water assessment methodology?

Recognizing the need for a comprehensive review of the tools and metrics for the quantification and assessment of water footprints, and allowing for the opportunity for open discussion on the challenges and future of water footprinting methodology, an international symposium on water footprint was organized. The Water Footprint Symposium was held in December 2013 at the University of Leeds, UK. In particular, four areas were highlighted for discussion: water footprint and agriculture, quantification of water footprint, industrial water footprint, and from theory to practice. Discussion was organized to focus on the “prioritization of water footprint research & applications to practical sectors”. The concept of water footprinting has helped to better communicate water management and assessment among different research and user communities. Significant research progress has been made in the relations between water footprint and agriculture, quantification of water footprint, industrial water footprint, and the transition from theory to practice. Future water footprint research needs to further enhance assessment accuracy, improve sustainability assessment methodology, develop databases, address uncertainties, and prioritize application by government and in practical sectors. More information on the symposium can be found on the water@leeds website: http://www.wateratleeds.org/conferences/2013/water-footprint-symposium.     

China’s water footprint by province,and inter-provincial transfer of virtual water

Water shortages and the uneven distribution of water resources restrict China’s sustainable development. The concepts of virtual water and water footprints provide a new approach to alleviate regional shortages of Chinese water resources by the inter-provincial allocation of commercial water resources. In this study, an interregional input-output model was applied to quantitatively estimate the water footprint of each province in China and to quantify the inter-provincial transfer of virtual water. The results indicated that there was considerable diversity in the water footprints of the various provinces. Provinces with larger populations and greater GDP had larger water footprints, and developed regions had higher proportions of external water footprints. From the perspective of final demand, local consumption was the main factor driving the water footprints of these provinces. From the perspective of sectoral structure, the agricultural water footprint had a larger proportion in these provinces. The transfer of virtual water in China did not occur from regions with abundant water resources to those suffering from water shortages, but it generally occurred from west to east, from inland to coastal areas, and from underdeveloped to developed regions. Many water-deficient regions also had large net virtual water exports. Water shortages in China will be alleviated by the enhancement of industrial water-use efficiency in water-deficient regions, the transfer of water-intensive industries to regions with abundant water resources, and the development of tertiary industries with low water consumption.     

Cloning and characterization of the BglII restriction–modification system reveals a possible evolutionary footprint

BglII, a type II restriction–modification (R–M) system from Bacillus globigii, recognizes the sequence 5′-AGATCT-3′. The system has been cloned into E. coli in multiple steps: first the methyltransferase (MTase) gene, bglIIM, was cloned from B. globigii RUB561, a variant containing an inactivated endonuclease (ENase) gene (bglIIR). Next the ENase protein (R.BglII) was purified to homogeneity from RUB562, a strain expressing the complete R–M system. Oligonucleotide probes specific for the 5′ end of the gene were then synthesized and used to locate bglIIR, and the gene was isolated and cloned in a subsequent step. The nucleotide sequence of the system has been determined, and several interesting features have been found. The genes are tandemly arranged, with bglIIR preceding bglIIM. The amino acid sequence of M.BglII is compared to those of other known MTases. A third gene encoding a protein with sequence similarity to known C elements of other R–M systems is found upstream of bglIIR. This is the first instance of a C gene being associated with an R–M system where the R and M genes are collinear. In addition, open reading frames (ORFs) resembling genes involved with DNA mobility are found in close association with BglII. These may shed light on the evolution of the R–M system.     

An input–output structural decomposition analysis of changes in sectoral water footprint in China

Policy evolution in China has made great achievements in economic development, while its impact on water has also been significant. This study provides detailed insight into how diverse policy evolution affected the water footprint (WF) in China from 1997 to 2007 through input–output analysis and structural decomposition analysis. Input–output analysis was used to measure China's WF. The results indicate that the total WF in China decreased from 495.5 billion m³ in 1997 to 447.6 billion m³ in 2007. Structural decomposition analysis was applied to quantify the determinants of the changes in WF. The driving factors of the WF changes were decomposed into technology, sectoral connection, economic structure, gross economic scale and population. The results show that the sector with the most space to save water changed from agriculture to tertiary industry during the periods under study. Technology and economic structure effects always offset the WF increase, whereas gross economic scale effect always hindered water conservation. In 2002–2005, the sectoral connection effect abruptly changed from negative to positive, with the proportion of the total contribution rising to 60%. This phenomenon can be linked to market expansion, which led to a decrease in water utilization when China joined the WTO in 2001. To promote water conservation in China, macro-control policies should be formulated in coordination with self-readjustment policies.     

Is footprint shape a good predictor of arboreality in sigmondontine rodents from a neotropical savanna?

We investigated the relation between the footprint shape of the fore and hind feet of sigmodontine rodents and their levels of arboreal activity. Footprint shape was obtained by analyzing the impressions left by identified animals captured in the field after being forced to pass through ink-tracking tunnels or by pressing their previously inked feet on a paper sheet. We used geometric morphometric techniques that use superimposition of landmarks (centers of the pads) to obtain footprint shape variables, which were reduced using multivariate analysis (principal component analysis). Arboreal activity was inferred on the basis of the proportions of individuals captured in arboreal traps (1.5–2.5 m height). Regression analysis of body size and the variable that best represented the footprint shapes (first principal component—PC1) did not indicate significant allometric effects on such shapes. We did not detect any significant phylogenetic effects on the arboreal activity of the rodents, either. The results indicated that the PC1 concerning footprint shapes of ten sigmodontine rodents efficiently reflects the degree of use of arboreal strata by these animals. The species studied showed different levels of arboreal activity and their hind footprints (r ² = 0.94) were better indicators of arboreality than the fore footprints (r ² = 0.53). These findings suggest a likely trade off for the fore feet functions. Such functions are probably not strictly related to locomotion. Other biomechanical functions (e.g., shock absorption) and/or manipulation (e.g., food manipulation and grooming) may exert relatively greater influence on the shape of fore feet.     

Interregional bio-physical connections—A ‘footprint family’ analysis of Israel’s beef supply system

The need to advance bio-physical accounting as a base for sustainability assessment has been acknowledged and advanced in recent years. One approach highly relevant to the 21st century global reality is the ‘Footprint’—Ecological, Land, Water and Carbon. While each has merits and limitations, the potential to bring all together under the title of the ‘Footprint Family’ is emerging. This paper embraces a footprint family approach to analyze beef consumption in the state of Israel over a decade (1999–2010) and explore some tradeoffs between different biophysical components. The research results reveal that on average a tonne of beef consumed in Israel, reflecting a mixture of sources of supply from all over the world requires 9.5 ha of land and 10,000 m³ of water, mostly for grazing in Latin America (in Brazil and Argentina) but also for growing feed in the U.S and the E.U. Enteric fermentation, manure management, farm operations, shipping and slaughtering generate approximately 19.7 t of CO₂e and the above can be integrated into an ecological footprint figure of approximately 6 global hectares. The paper also demonstrates the utility of inter-regional biophysical accounting at the detailed commodity level. Inter-regional accounting identifies the geographic locations that contribute resources to, and are affected by, the production of specific consumption products. Comprehensive interregional biophysical accounting can be used to generate a better understanding of the complex ecological impacts associated with most consumption products, and the implications of the relationship between these impacts for sustainability.     

Ecological footprint simulation and prediction by ARIMA model—A case study in Henan Province of China

Ecological footprint (EF), as one of the sustainable development indicators, has received considerable attention. However, it has mostly been used as a static indicator. The accurate quantitative analysis on its development trend is still rare. Thus, the autoregressive integrated moving average (ARIMA) model was introduced to enhance the forecasting capacity of EF indicator. Taking Henan Province of China as a study area, we firstly computed the EF and the ecological carrying capacity (EC) in 1949–2006. Based on the computed results, the simulating process of the ARIMA model and the fitting and forecasting results were explained in detail. The final results demonstrated that ARIMA model could be used effectively in the simulation and prediction of EF and the predicted EF could help the decision-makers make a package of better planning for regional ecological balance or sustainable future.     

The product environmental footprint communication at the crossroad: integration into or co-existence with the European Ecolabel?

The International Journal of Life Cycle Assessment - Since 2013, the European Commission (EC) is developing and testing the Product Environmental Footprint (PEF)—a product evaluation method,...     

Heading for the hills? Evaluating spatial distribution of woodland caribou in response to a growing anthropogenic disturbance footprint

Anthropogenic landscape change (i.e., disturbance) is recognized as an important factor in the decline and extirpation of wildlife populations. Understanding and monitoring the relationship between wildlife distribution and disturbance is necessary for effective conservation planning. Many studies consider disturbance as a covariate explaining wildlife behavior. However, we propose that there are several advantages to considering the spatial relationship between disturbance and wildlife directly using utilization distributions (UDs), including objective assessment of the spatially explicit overlap between wildlife and disturbance, and the ability to track trends in this relationship over time. Here, we examined how central mountain woodland caribou (Rangifer tarandus caribou) distribution changed over time in relation to (i) anthropogenic disturbance, baseline range (defined using telemetry data from 1998 to 2005), and alpine habitat; and (ii) interannual climate variation (North Pacific Index; NPI). We developed seasonal UDs for caribou in west‐central Alberta and east‐central British Columbia, Canada, monitored with GPS collars between 1998 and 2013. We mapped the cumulative annual density of disturbance features within caribou range and used indices of overlap to determine the spatial relationship and trend between caribou UDs, anthropogenic disturbance, baseline range, alpine habitat, and the NPI. Anthropogenic disturbance increased over time, but the overlap between caribou UDs and disturbance did not. Caribou use of alpine habitat during spring, fall, and late winter increased over time, concurrent with a decrease in use of baseline range. Overlap between caribou UDs and disturbance increased during spring and fall following relatively cold, snowy winters (high NPI), but overall, climate did not explain changes in caribou distribution over time. We provide evidence supporting the hypothesis that caribou populations adjust their spatial distribution in relation to anthropogenic landscape change. Our findings could have implications for population persistence if distributional shifts result in greater use of alpine habitat during winter. Monitoring long‐term changes in the distribution of populations is a valuable component of conservation planning for species at risk in disturbed landscapes.     

How does co-product handling affect the carbon footprint of milk? Case study of milk production in New Zealand and Sweden

Purpose  

This paper investigates different methodologies of handling co-products in life cycle assessment (LCA) or carbon footprint (CF) studies. Co-product handling can have a significant effect on final LCA/CF results, and although there are guidelines on the preferred order for different methods for handling co-products, no agreed understanding on applicable methods is available. In the present study, the greenhouse gases (GHG) associated with the production of 1 kg of energy-corrected milk (ECM) at farm gate is investigated considering co-product handling.     

Do rats mind getting their feet dirty? Observing the behaviour of ship rats (Rattus rattus) towards footprint tracking tunnels

Monitoring rat populations by standard tracking tunnels assumes that rats do not avoid treading on the tracking ink. We observed the behaviour of 20 rats in four groups of five, spending 2 nights each (40 trials) in large observation pens. In only 10 of 40 trials did the rat run through a tunnel without hesitation on first encounter, while in four trials a rat approached the tunnel up to 35 times but refused to run though it all night. Most rats approached and turned away between two and 34 times before running through. Observations through transparent tunnels of rats pausing for a mean of 3.2 s before stepping on the ink suggest that they probably could detect it, but they usually chose to ignore it. Experience of encountering the ink pad inside a black tunnel did not deter rats from running across another one, and would not affect indices of rat abundance reaching levels high enough to trigger conservation concern, but variation in behavioural reactions to tracking tunnels could possibly affect the detection rate of rats at low density.