Driver-Pressure-State-Impact-Response Research Articles

Assessment of comprehensiveness of soil conservation measures using the DPSIR framework.

The assessment of comprehensiveness of soil conservation measures (SCMs), along with economic, social, and environmental assessments of these projects, is a prerequisite for good governance in a watershed. This study was conducted using the cause-and-effect framework of DPSIR (Driver-Pressure-State-Impact-Response) to assess the comprehensiveness of SCMs in reducing the soil erosion potential of the Kond watershed area and its adverse impacts. Horticultural, mining, and ranching activities; population growth; and road network development were identified as the most important driving forces of the watershed. After determining the indicators, the integrated index was calculated based on weight calculation and standardization of values to detect changes before and after the implementation of SCMs. The results showed a decrease in soil erosion and the corresponding adverse impacts in 2019 compared with the base year, 1997, so that according to the integrated index, the soil erosion status and related impacts have decreased by 16 and 35%, respectively. Despite this decline, the watershed still has a high rate of soil erosion (26.27 t ha-1 year-1). This is because SCMs are more focused on improving the state and impacts, and there are no necessary managerial responses to the components of the driving forces and pressures. Given that the proactive approach has less contribution than the reactive approach in SCMs, in addition to the reactive approach, it is necessary to pay more attention to the proactive approach to reduce the soil erosion rate of the watershed and decrease the relevant negative impacts.

新疆85个县市旅游生态安全时空格局演变及驱动机制

旅游生态安全是区域生态安全的重要组成部分。科学评价区域旅游生态安全状况，对区域旅游生态安全风险防控具有重要的现实意义。以新疆85个县市为研究对象，兼顾DPSIR模型与数据包络分析方法（DEA）两者优势，运用Max-DEA软件科学、系统地测度新疆各县市2007-2017年的旅游生态安全，利用ArcGIS10.6和GeoDa0.95i软件的空间分析技术对新疆各县市的旅游生态安全时空格局演变特征进行分析，并利用地理探测器探测旅游生态安全的关键影响因素。研究发现：（1）时间上，新疆多数县市的旅游生态安全指数逐年降低，呈现出明显的恶化趋势；空间上，新疆各县市旅游生态安全等级两极分化现象严重，且南疆县市的旅游生态安全水平总体优于北疆县市；（2）新疆各县市的旅游生态安全存在明显的相关性，旅游生态安全空间集聚态势明显；（3）新疆旅游生态安全低-低类聚集区域范围有所扩散，高-高类聚集区域范围则正在缩小，负面空间溢出效应增强，正面溢出效应减弱；（4）影响新疆各县市旅游生态安全的主要因素有：城镇化率、游客人数、游客密度、旅游空间指数、星级酒店数、植被指数、农牧民人均纯收入、旅游业对GDP的贡献率、旅游接待能力以及每万人拥有教师数。基于研究发现，本文刻画了新疆旅游生态安全的驱动机制，并提出相应的政策建议。研究成果对新疆各县市的旅游生态安全的保护具有重要的参考意义。;Tourism ecological security is an essential part of regional ecological security. Evaluating regional tourism ecological security scientifically is important for preventing and controlling regional tourism ecological security risks. Considering the advantages of the Driver-Pressure-State-Impact-Response (DPSIR) model and Data Envelopment Analysis (DEA), this study uses Max-DEA software to scientifically and systematically measure the tourism ecological security of 85 counties and cities in Xinjiang from 2007 to 2017. It also uses ArcGIS10.6 and GeoDa0.95i software's spatial analysis technology to analyze the spatial and temporal pattern evolution characteristics of the tourism ecological security. Afterward, the key influencing factors of tourism ecological security are detected using Geo Detector software. The results show that (1) During the period of 2007-2017, 40.01% of the counties and cities in Xinjiang have experienced fluctuation and decline in tourism ecological security. Among them, 20% of the counties and cities rapidly dropped from the high level of tourism ecological security in 2007 to the low level of tourism ecological security in 2017, and 12.94% of the counties and cities have been in the low level of tourism ecological security. On the contrary, 22.35% of the counties' tourism ecological security index continued to rise with fluctuations based on a higher level of tourism ecological security state. Moreover, the polarization of the tourism ecological security level is severe in counties and cities of Xinjiang, and the tourism ecological security of counties and cities in southern Xinjiang is better than that in northern Xinjiang. (2) There is an obvious correlation between the tourism ecological security of various counties and cities in Xinjiang, and the spatial agglomeration trend of tourism ecological security has become more obvious. (3) The scope of low-low cluster areas of tourism ecological security in Xinjiang counties and cities has been diffused, while the scope of high-high cluster areas is shrinking. It indicates that the negatively spatial spillover effect is enhanced, but the positive spillover effect is weakened. (4) The main factors that affects tourism ecological security in Xinjiang counties and cities include the urbanization rate, number of tourists, tourist density, tourism spatial index, number of star hotels, vegetation index, net income of farmers and herders per capita, contribution rate of the tourism industry to gross domestic product (GDP), tourism reception capacity, and teachers per 10,000 people. This study constructs the driving mechanism of tourism ecological security and introduces corresponding policy recommendations based on the research findings. The research results have important reference significance for protecting tourism ecological security in Xinjiang.

Evaluation of the sustainable development of an island “Blue Economy”: A case study of Hainan, China

The full social and economic development of coastal areas has made the “blue economy” especially important, but at the same time the resources and environment of coastal and offshore areas also face significant pressure. Therefore, the international community has made tremendous efforts to implement sustainable development in the blue economy, and a consensus has been basically reached, though more effort is still needed to evaluate the success of this drive to sustainability. This paper investigates China’s Hainan Island based on the driver–pressure–state–impact–response (DPSIR) framework, uses a grey correlation analysis and the technique for order preference by similarity to ideal solutions (TOPSIS) methods, and conducts a coupling coordination analysis to study the sustainable development capacity of the island’s blue economy. The results show a clear downward trend in sustainable development capability of the blue economy since 2010, as well as a decline in the degree of coupling coordination since 2009.

Application and Comparison of Multiple Models on Agricultural Sustainability Assessments: A Case Study of the Yangtze River Delta Urban Agglomeration, China

Operationalization of sustainability assessments is necessary to promote the sustainable development of agroecosystems. However, primarily, focus has been on the development of sustainability assessment tools with less attention on whether these are suitable for adoption and implementation in specific areas. This drawback could lead to inappropriate management guidance for agricultural practices. Hence, three extensively used models, i.e., the Driver–Pressure–State–Impact–Response (DPSIR) framework, ecological footprint (EF), and emergy analysis (EMA), were applied to quantify the sustainability performance of the agroecosystems in 27 cities in the Yangtze River Delta Urban Agglomeration (YRDUA), China, in 2016. The models were compared using the Pearson correlation analysis and natural break method, to determine a more adaptive method for agricultural sustainability assessments. The level of agricultural sustainable development of each city varied according to the methodology considered for its calculation. Compared with the EMA model, the DPSIR and EF models showed a better relationship (Pearson correlation coefficient of 0.71). The DPSIR model more accurately represented regional rankings of the agricultural sustainability at the municipality level due to its comprehensive consideration of multiple dimension factors and significance for policy making. However, each methodology has its own contribution depending on the study objectives. Hence, different models should be used for adequate determination of agricultural sustainable development at different regional scales; this would also enable better implementation of agricultural practices as well as policies in any given agricultural area for promoting the sustainable development of agroecosystems.

The Climate, Land, Energy, Water and Food Nexus Challenge in a Land Scarce Country: Innovations in the Netherlands

The Netherlands has the ambitious target of transitioning to a low-carbon economy by 2050. One factor that may constrain this progress, however, is the large spatial requirements of renewable energy technologies, and resulting competition for land through interlinkages between the Climate (C), Land (L), Energy (E), Water (W) and Food (F) domains—the CLEWF nexus. This study aims at identifying innovations that can improve the performance of the nexus by addressing the land scarcity constraint while supporting the low-carbon economy transition. A framework for the identification of potential innovations applicable in the nexus context was developed and applied. It is derived from a Driver-Pressure-State-Impact-Response (DPSIR) analysis of land scarcity in the Dutch nexus and a stock-taking benchmarking analysis of European countries. An inventory of innovations was prepared based on several classifications of innovations, collecting examples from the Netherlands, Belgium, Denmark, Germany, Latvia and Sweden. Three innovations were identified as particularly promising: district heating, Energy Service Companies and peak shaving through water pumping. Furthermore, the DPSIR framework was also used to identify overarching societal elements common to countries that successfully implemented sustainable innovations. These were found to relate to long-term political commitments, geopolitical and economic drivers, and pioneering approaches building from and towards national strengths.

Spatiotemporal Evolution of Ecological Security in the Wanjiang City Belt, China

Ecological security is the foundation and guarantee of sustainable development, and its importance is increasingly widely recognized and valued by the world. The Yangtze River Basin is an important ecological security barrier in China and the Wanjiang City Belt (WCB) along the Yangtze River is directly related to the ecological security pattern of the entire basin. Based on the Driver-Pressure-State-Impact-Response (DPSIR) model and a geographical information system (GIS) platform, an ecosystem security evaluation index system was constructed to measure and evaluate the evolution of ecosystem security in the WCB, China. Results showed that: 1) From 2000 to 2018, the overall level of ecological security in the study area was in a state of either early warning or medium warning, but the level of ecological security in each prefecture-level city was significantly different. 2) From the perspective of the evolution of the ecosystem, the value of its comprehensive evaluation index dropped from 4.255 in 2000 to 3.885 in 2018. From the perspective of subsystems, the value of Pressure comprehensive evaluation index is much higher than that of other subsystems, indicating that during the rapid development of the social economy, the pressure on the natural environment tended to rise, and triggered changes in the State and Response subsystems. 3) The coefficient of variation (CV) of the Driver was much higher than other factors influencing the ecological security system. There are large differences in the economic development and ecological evolution of the cities in the WCB. This study has improved the theoretical research on regional ecological security, and has certain practical guiding significance for building a beautiful, green and sustainable China and promoting global ecological security.

A DPSIR Assessment on Ecosystem Services Challenges in the Mekong Delta, Vietnam: Coping with the Impacts of Sand Mining

River sand mining has been a concerning problem for the southern Asian developing nations. The rampant growth of urbanisation in developing countries has led to an extensive need for and consumption of sand. The Mekong River and its delta are an essential part of southern Vietnam, and also a global biodiversity hub that is currently being exhausted by intensive sand mining. The understanding of the cause–effect of the sand mining over the Mekong delta region and river, from a systems-thinking perspective, is lacking, not only with Vietnam but also with other countries along the Mekong River. The DPSIR framework (Driver–Pressure–State–Impact–Response) is a useful tool to assess and describe the cause–effect within an ecosystem to aid in a better systems-thinking approach for stakeholders, policy makers, and governance managers to draft response measures. This study used the DPSIR framework to assess the different effects of sand mining on the ecosystem services and human well-being in the Mekong River and delta region of Vietnam. Rapid population growth, urbanisation, and infrastructure development needs remain as primary drivers for the sand consumption. The DPSIR study showed a holistic view of several interlinked pressures and state changes in Vietnam’s Mekong, along with some potential responses, to form systematic, sustainable approaches for mitigating and adapting the impacts caused by extensive river sand mining.

Sustainable Development Tool Using Meta‐Analysis and DPSIR Framework — Application to Savannah River Basin, U.S.

AbstractThe Savannah River Basin (SRB), a highly stressed southeastern river in United States is a conservation priority for State, Federal government, and nongovernment organizations. A four‐stage sustainable development tool was developed in this study using meta‐analysis and the drivers–pressures–state–impacts–responses (DPSIR) framework. Through the synthesis of ~150 references in the SRB this study addressed three research questions: (1) What were the drivers, pressures, state, impacts, and responses (components of DRSIR framework) in SRB (2) Can these components be grouped together from various studies in SRB (3) Can causal chain/loops be developed, and will they be useful for policy and decision making? First in the Stage 1, the state of the SRB was represented (S component of DPSIR), in Stage 2, the drivers–pressures–impacts–responses (DPIR components of DPSIR) were represented, in the third stage (Stage 3) the common units characterizing each DPSIR component were identified. Finally, in Stage 4, the causal chains/loops were developed and organized into scientific research at a level appropriate for building better understanding about SRB and helping stakeholders and policy makers in managing basin sustainability challenges. Although the tool was applied to SRB, the methodology is applicable to other river basins and ecosystems.

The Marine Plastic Litter Issue: A Social-Economic Analysis

The issue of marine plastic litter pollution is multifaceted, cross-sectoral, and ongoing in the absence of appropriate management measures. This study analysed the issue of marine plastic litter pollution in the context of the Descriptor 10 of the Marine Strategy Framework Directive and Good Environmental Status of the oceans and seas. The Driver-Pressure-State-Impact-Response (DPSIR) framework was used to assess the causes, effects, and management measures to changes in the marine environment resulting from marine plastics pollution. We noted that less than 10 peer-reviewed publications have applied the Driver-Pressure-State-Impact-Response (DPSIR) model to the issue of marine plastics pollution. Some basic needs such as food security, movement of goods and services, and shelter are also some of the major drivers of marine plastic pollution. The use of plastics is linked to multiple economic sectors (fisheries, agriculture, transport, packaging, construction) and other human activities. A significant amount of the resulting pressures came from the economic sectors for packaging and construction. State changes occurred at the environmental (contamination and bioaccumulation), ecosystem (ingestion of plastics, ghost fishing) and ecosystem service levels (supply of sea food, salt and cultural benefits), with possible loss of jobs and income being some of the observed impacts on human welfare. Responses as management measures, which are tailored to meet each component of the DPSIR framework, were identified. These included policies, regulations, technological advancement and behavioural change. The research acknowledges the issue of marine plastics pollution as a global environmental problem and recommends a trans-disciplinary approach, involving all types of stakeholders. Future research and analysis applying the DPSIR framework will be useful to provide the information necessary for the effective, adaptive management of litter pollution by marine plastics.

Short Communication: Investigating environmental impacts of long-term monoculture of sugarcane farming in Indonesia through DPSIR framework

Abstract. Putra RP, Ranomahera MRR, Rizaludin MS, Supriyanto R, Dewi VAK. 2020. Short Communication: Investigating the environmental impacts of long-term monoculture of sugarcane farming in Indonesia through DPSIR framework. Biodiversitas 21: 4945-4958. An increasing trend of sugar demand in Indonesia due to the rising population has forced the government to boost its national sugarcane production through intensification program. Long-term monoculture system has long been practiced by sugarcane growers in Indonesia, particularly by large sugar companies for more than 30 years. This farming method bolsters the government’s program in scaling-up national sugar production. Through a literature study, the present study analyzed the impacts of long-term sugarcane monoculture in Indonesia on agroecosystem functions by using the Driver-Pressure-State-Impact-Response (DPSIR) framework. Results showed that long-term sugarcane monoculture leads to decreased soil quality, lowered hydrological functions, reduced agrobiodiversity, and increased greenhouse gas emissions. Those conditions corresponded to reduced sugarcane yield and productivity, increased pests and diseases, decreased income gained by growers, higher dependencies on chemicals, and higher cultivation costs. In the end, we proposed several sustainable crop management to mitigate the detrimental effects of sugarcane monoculture practice in Indonesia. These include performing crop break or rotation with legume or the other cash crop, intercropping, green harvesting and trash blanket, precision agriculture methods, and soil amendment with organic matters. However, some constraints in implementing those sustainable crop management, such as inadequate knowledge and capital, should be considered. The information given in this study can be used by sugarcane growers or companies, policymakers, and sugarcane-related stakeholders as considerations to improve sugarcane productivity while at the same time minimizing its impact on the environment.

Construction and Evaluation of the Integrated Perception Ecological Environment Indicator (IPEEI) Based on the DPSIR Framework for Smart Sustainable Cities

Ecological environment evaluation is of great significance to achieve the Sustainable Development Goals (SDGs) and promote the harmonious development of economy, society, and environment. To evaluate environmental SDGs, single environmental indicators have been analyzed at national or large regional scale in some literature, while the urban integrated environment is ignored. Therefore, it is necessary to systematically and quantically evaluate the sustainability of ecological environment integrating the water, soil, and air environment at the urban scale. This study aims to construct the Integrated Perception Ecological Environment Indicator (IPEEI) based on the Driver-Pressure-State-Impact-Response (DPSIR) framework to solve the above-mentioned problems. The IPEEI model was proposed based on the three-level association mechanism of the Domain-Theme-Element, and the DPSIR framework conforming to the relevant standards for indicator determination. Moreover, the multi-dimensional, multi-thematic, and multi-urban quantitative evaluations were conducted using the entropy weight method, and the comprehensive evaluation grades by the Jenks natural breaks classification method of the geospatial analysis. Nine cities in the Wuhan Metropolitan Area were selected as the experimental areas. The results were consistent with the Ecological Index and local government’s planning and measures, which demonstrated that IPEEI can be effectively verified and applied for the evaluation of urban ecological environment sustainability.

Traditional rice-based agroecosystem in Kiangan, Ifugao, Philippines: drivers of change, resilience, and potential trajectories

ABSTRACT This paper investigates transformations and trends in a traditional agricultural system in Kiangan, Philippines as a consequence of evolving social-ecological scenarios. For this study, Modified Sustainable Livelihood Framework (MSLF) and Drivers-Pressures-State-Impacts-Responses (DPSIR) framework identified major driving forces in Kiangan social-ecological system (SES) and elucidated relationships and interactions between them. This study however unveiled the highly disturbed state of Kiangan SES and erosion of Ifugao culture and belief systems owing to the ingress of modernization, mind-set change among locals and weak institutional support. In particular, the polytheism to Christianity shift was a causative factor leading to abandonment of traditional rice varieties and farming rituals as well as the transformation of Kiangan upland landscape and its associated biophysical structures. Furthermore, productivity-driven approach to food production also resulted in wide scale agro-biodiversity losses, environmental degradation and cultural erosion. It was nonetheless observed that the Kiangan SES has, as of this time, not yet shifted to an alternative state and is still able to conserve its main features despite pressures to it. Interventions are therefore warranted to redirect the trajectory of Kiangan SES, steer it toward sustainable agricultural development and consequently into its preservation on behalf of the people that depend on it for food and livelihood.

DSPIR Framework as Planning and Management Tools for the La Boquita Coastal System, Manzanillo, Mexico

Coastal ecosystems are attractive sites for tourism. In the central Pacific coast of Mexico in the La Boquita coastal system (LBCS), consisting of a beach and a coastal lagoon, the Driver-Pressure-State-Impact-Response (DPSIR) model was implemented for the spatial and temporal analysis of socio environmental indicators, aiming to gather information for decision-making and implementation of management strategies. The spatial occupation (umbrellas and tables) of the beach showed a 50–200% increase during the Easter season relative to the low season, while the area containing restaurants (called “ramadas”) increased by 396% in 15 years, representing pressure on land use for tourism purposes. The density of beach users ranged from moderate to high (<10 m2/user) during the holiday seasons in the tourism area. The Trophic index (TRIX), used as an indicator of trophic status, revealed mesotrophic-to-eutrophic conditions in lagoon water due to the limited water exchange with the adjacent ocean and to DIN and DIP inputs from adjacent tourist areas. The analysis of the environmental legislation showed that law enforcement in the LBCS is poor or nil, with most environmental regulations either ignored or having inadequate enforcement monitoring. This has led to the current state of socio environmental disruption.

Assessing the Complexity of Social-Ecological Systems: Taking Stock of the Cross-Scale Dependence

Human demands and activities introduce cross-scale pressures in different systems and scales, affecting the provision of ecosystem services and causing an unbalanced effect on human well-being within the territory. The existing institutions are frequently considered panaceas since they do not take into account the different spatial and jurisdictional scales of the social-ecological systems (SES). This paper aims to broaden the existing DPSIR (Drivers–Pressures–State–Impact–Response) assessment frameworks to strengthen the ecosystem approach and promote an integrated cross-scale perspective. The concept of the Cross-scale Ecosystem-Based Assessment (DIET) was developed and applied to a case study on the demand of seafood provisions. The assessment has indicated that the activities related to the specified demand occur at different scales and generate cumulative impacts and pressures on other scales, especially in the coastal zone. The existing responses to address this issue are highly fragmented, both spatially and among sectors. DIET was applied here to the land–sea interface to illustrate how coastal zone governance and management can be improved and how the impact of certain drivers or activities in the SES can be reduced. DIET may help to reduce the governance morbidity and prevent panaceas by fostering the integration of institutions in pursuing flexible, adaptive and fit-for-purpose policies to address complex issues so as to secure social-ecological justice and well-being for all humans.

Synthetic Evaluation of China's Regional Low-Carbon Economy Challenges by Driver-Pressure-State-Impact-Response Model.

The “driver–pressure–state–impact–response” (DPSIR) model has recently become a popular approach to deal with environmental problems. The combination of DPSIR with analytic hierarchy process (AHP) is a useful method to study low-carbon evaluation because the AHP model has a special advantage in multi-indexes evaluation. This paper constructs the low-carbon economy evaluation system and comprehensively evaluates the numerical value of low-carbon economic development of China’s 30 regions from 2000 to 2015 by using the AHP method. It shows that the numerical value of low-carbon economy of China’s 30 regions varies in terms of growth rate. The numerical value of east regional low-carbon economy shows a pattern that is gradually higher than that of the west region. The numerical value of low carbon economic development in the south region is higher than that of the north region by degrees. In addition, based on the model of coordination degree in 2015, the result indicated that the four subsystems have primary coordination in the east area and bare coordination in the central and west areas. It is indicated that the four sub-indexes should be developed at the same pace and promoting the development of a low-carbon economy in the mid-west areas is the key in China. Finally, we proposed that environmental regulations and policies should be formulated to improve coordination in various aspects and various departments. Calculating the degree of low-carbon economic coupling coordination may be helpful for policy makers to formulate effective policies and take actions in the future.

DPSIR Model Applied to the Remediation of Contaminated Sites. A Case Study: Mar Piccolo of Taranto

The study critically analyses the complex situation of the Mar Piccolo of Taranto (South of Italy), considered one of the most polluted marine ecosystems in Europe. In order to investigate possible cause–effect relationships, useful to plan appropriate planning responses or remediation technologies to be adopted, the Driver–Pressure–State–Impact–Response (DPSIR) model was applied. Methodologically, about 100 references have been considered, whose information was organized according to the logical scheme of the DPSIR. The results showed how the Mar Piccolo is the final receptor of pollutants coming from all industrial and agricultural activities, especially due to its natural hydrogeological network conformation. The anthropic activity represents a critical impact on the ecosystem due to the subsequent marine litter. The mobility of contaminants from sediments to the water column showed the potential risk related to the bioaccumulation of organisms from different trophic levels, posing a threat of unacceptable magnitude to human safety. The paper concludes by discussing the actions currently implemented by the authorities in response to the anthropogenic impacts as well as the need for new ones concerning both plans, programs, and remediation interventions. The case study shows how the DPSIR is a useful framework to organize extensive and heterogeneous information about a complex environmental system, such as the one investigated. This preliminary organization of the available data can represent the starting point for the development of a DPSIR-based Environmental Decision Support System (EDSS) with robust cause–effect relationships.

Sustainability Assessment of Water Resources in Beijing

A sustainability assessment of water resources is essential for maintaining regional sustainable development. In this study, a comprehensive assessment of changes in the sustainability of the water resource system in Beijing from 2008 to 2018 was conducted on the basis of the driver-pressure-state-impact-response (DPSIR) model. To reflect the impacts of humans on the water consumption and pollution of water resources, the water footprint was considered. In addition, key factors that affect the sustainability of water resources were filtered by the modified entropy method. The results indicated that all drivers, pressures, states, impacts, and responses demonstrated increasing tendencies. As a result, a remarkable improvement in the sustainability of the water system, which was mitigated from an alert state to a good state, was achieved due to the comprehensive effect of the indexes. From these results, we inferred that the sustainability of regional water resources could only be achieved through a comprehensive consideration of regional social, economic, and environmental water systems and climate change. Therefore, formulating medium- and long-term urban, economic, and water development plans and adjusting medium- and short-term water utilization programs could contribute to the sustainable utilization of regional water resources.

An uncertainty-based multivariate statistical approach to predict crop water footprint under climate change: a case study of Lake Dianchi Basin, China

Agricultural water sustainability in a basin environment experiencing climate change has become a critical issue in the past few decades. This study used the DPSIR (Driver–Pressure–State–Impact–Response) framework as a conceptual basis to explore the relationship between water footprint (WF) trends and climate change and agricultural-economic variation. With the aim of mitigating water crisis and ensuring robust responses to the uncertainty of the future, an uncertainty-based multivariate statistical approach was proposed for WF prediction by using various scenarios combined with multiple linear regression and Monte Carlo simulation. Lake Dianchi in China was used as the case study area. The results indicate that (1) the total WF had an increasing trend of 394.39 m3 ton−1 year−1; the WFgreen (the precipitation used in the crop production process) had a decreasing trend, while the WFblue (the irrigation water withdrawn from the ground or surface water) and WFgrey (the water used to dilute the load of pollutants, based on existing ambient water quality standards) exhibited an increasing trend; (2) the total WF showed a distinct increasing trend under climate change and agricultural-economic variation due to the increase of the WFgrey during 1981–2011; and (3) the impact of agricultural-economic factors on WF trends, especially on the WFblue and WFgrey, far outweighed the impact of climatic factors under the alternative scenarios. Our results suggest that adaptive management of anthropogenic activities should be prioritized to mitigate water stress under climate change.

Analysis of the Environmental Sustainability of a Megacity through a Cobenefits Indicator System—The Case of Shanghai

Based on the synergistic control of greenhouse gas emissions and air pollution, a co-benefits indicator system was established to evaluate the co-benefits of city policies for megacities with regard to energy conservation and environmental sustainability. Shanghai was chosen as a typical case study, owing to its relatively high level of progress in terms of urbanization and its complex economic, social, and ecological development problems. In this indicator system, 23 indicators were screened, based on the driver-pressure-state-impact-response (DPSIR) framework. Economic, social, and ecological development data for Shanghai from 2005 to 2018 were collected and analyzed using an entropy method. This was followed by the application of a weighted average method to determine the indicator weights and co-benefits index (CBI) for Shanghai. The results yield variations in the weights of the indexes. The weight of the tertiary industry production proportion in the GDP was the highest, owing to the government promotional policies, whereas the weight of the annual average temperature was the smallest, as global warming only becomes significant when the time span is much longer. In such a short time span (i.e., 14years), the change in the annual average temperature is relatively insignificant. The Co-benefit Index also varied over time; it showed a growing trend over the 14 years, increasing from 0.375 in 2005 to 1.365 in 2018, i.e., a 264% increase. This indicates that the efforts taken in Shanghai and their effects were positive, overall. Four suggestions were proposed, based on the results of the analysis: a) control the amount of total energy consumption and change the energy structure to reduce carbon and air pollution emissions; b) adjust the structure of industry, especially by increasing the proportion of tertiary industries; c) increase investments in environmental protection; and d) cooperate with regional partners to limit the occurrence of acid rain. The applicability of this approach and research prospects are also discussed.

A new protocol for monitoring operational outcomes of environmental management in commercial forestry plantations

Environmental degradation is a global phenomenon with a high likelihood of influencing human quality of life. Effective management responses are needed to achieve societal goals of sustainability. We develop here a new monitoring protocol (Management Check: MATCH) that comprehensively evaluates management outcomes at the operational level. Using the Driver-Pressure-State-Impact-Response (DPSIR) framework, we identified pressures influencing ecosystem integrity inside conservation corridors and commercial compartments of a timber production landscape mosaic. They were 1) domestic livestock grazing (the only exogenous pressure), 2) fire management, 3) invasive alien plants (IAPs), and potential soil erosion from two sources: 4) roads, and 5) harvested timber compartments. We assessed the effects of these on wetland and stream buffers. Environmental incidents accounted for more serious management issues (e.g. oil spills). Management responses were systematically unpacked into point-form questions, which formed the building blocks of our monitoring protocol. We assessed management in twelve plantations in KwaZulu-Natal, South Africa. Answers were compared with Best Operational Practice (BOP), and reworked into a Weighted Index of Compliance (WIC) per section. We found that there was poor management of livestock grazing, but good management of IAPs, roads, and timber compartments. Management of wetland and stream buffers was very good. Fire management presented problems linked to lack of direct effects, measurable at the spatial and temporal scales of operations. We discuss operational outcomes within their respective legislative frameworks, and suggest ways of improving management operations, where needed. MATCH is the first monitoring protocol to comprehensively assess environmental management of commercial forestry at the operational level, and to clearly translate operational activities into measurable progress towards strategic goals. In doing so, MATCH breaks down silos and builds bridges for efficient environmental management in dynamic socio-ecological systems. Moreover, the principles developed here can be applied to build tools that help manage major risks in other economic sectors too. Overall, MATCH strengthened strategic and informed action, which is necessary at multiple levels of an organization, to combat major societal risks, such as environmental degradation.