Integrated impact assessment of adaptive management strategies in a Dutch peatland polder

Informed population monitoring efforts are essential for sound management of harvested species, and adaptive strategies that provide detailed information to monitoring efforts often require data inputs from complimentary sources. Movement ecology information is seldom directly incorporated into population monitoring or adaptive harvest management strategies, yet can provide valuable information on species distributions, emigration and immigration rates, and aid in determining optimal population monitoring timing. The Rocky Mountain Population (RMP) of Sandhill Cranes is a harvested population subject to a stringent adaptive harvest management framework and an annual aerial survey to estimate population abundance, but movements of Sandhill Cranes during survey windows, and subsequent changes to harvest quotas based on their movement and distribution have not been investigated. We used seven years of GPS tracking data to estimate state-specific emigration and immigration rates, using a Bayesian multi-state capture-recapture model, among states within the RMP distribution to understand how seasonal crane movements may influence optimal aerial survey timing. We then leveraged these transition probabilities in conjunction with aerial survey count data to model how changes in aerial survey timing and movement-informed crane distribution would influence the current RMP Sandhill Crane adaptive harvest management model resulting in estimated changes to harvest allocation among states based on Sandhill Crane movement. We found that Sandhill Crane emigration from northern states began to increase the week of the aerial survey in late September, and continued to increase as autumn migration progressed into October. As expected, immigration to southern states began as emigration from northern states increased. Importantly, little movement among states occurred prior to the current aerial survey design timing. Overall, we found that current survey timing and shortly thereafter (∼1 week) did not greatly influence estimates of Sandhill Crane distribution, and did not greatly influence the harvest reallocation to each state until mid to late October (range of −42–+52 tag allocation change), much later than the current survey design would allow. Using GPS locations, we found that optimal population monitoring efforts could be improved to account for both detection and seasonal movements, while minimally influencing current adaptive harvest management strategies to stakeholders. Linking movement ecology with population monitoring efforts and subsequently adaptive harvest management strategies yields insightful information that can be beneficial for conservation planning, decision-making, and optimal species management of a migratory bird.

Widespread development and shifts from rural to urban areas within the Wildland-Urban Interface (WUI) has increased fire risks to local populations, as well as introduced complex and long-term costs and benefits to communities. We use an interdisciplinary approach to investigate how trends in fire characteristics influence adaptive management and economies in the Intermountain Western US (IMW). Specifically, we analyze area burned and fire frequency in the IMW over time, how fires in urban or rural settings influence local economies and whether fire trends and economic impacts influence managers’ perspectives and adaptive decision-making. Our analyses showed some increasing fire trends at multiple levels. Using a non-parametric event study model, we evaluated the effects of fire events in rural and urban areas on county-level private industry employment, finding short- and long-term positive effects of fire on employment at several scales and some short-term negative effects for specific sectors. Through interviewing 20 fire managers, we found that most recognize increasing fire trends and that there are both positive and negative economic effects of fire. We also established that many of the participants are implementing adaptive fire management strategies and we identified key challenges to mitigating increasing fire risk in the IMW.

Abstract. The article is devoted to the study of aspects related to the formation of an adaptive enterprise management strategy in the context of digital transformation. The paper aims to analyze, systematize, and summarize the existing theoretical and methodological approaches to the formation of adaptive management strategies and to determine the role of digital technologies in strategic management under conditions of uncertainty. The study examines modern challenges shaping the highly turbulent business environment in which Ukrainian enterprises operate, particularly amid military conflict, economic uncertainty, and digital transformation. The article systematizes key challenges faced by Ukrainian enterprises that contribute to environmental turbulence, including security, political, economic, logistical, technological, financial, human resources, marketing, institutional, ecological, social, and market-related factors. The research identifies a strong correlation between the level of adaptability in strategic enterprise management and the company’s ability to respond to multidimensional external influences effectively. The study substantiates the necessity of transforming strategic management from traditional approaches toward the development of flexible, scenario-based, digitally oriented strategies capable of ensuring rapid response to changes and generating long-term competitive advantages. The article characterizes digital technologies that serve as tools for adapting to the challenges of a highly turbulent environment, such as artificial intelligence, big data analytics, the Internet of Things, blockchain, digital platforms, and cloud computing. It was found that the application of these tools enhances the strategic planning process, improves forecasting accuracy, ensures transparency of management processes, personalizes decision-making, allows rapid response to changes, reduces costs, and increases operational efficiency. At the same time, the study revealed several limitations associated with the implementation of digital solutions: high implementation costs, risks of confidentiality breaches, dependency on external providers, the need for highly qualified personnel, and the complexity of technical integration. Overall, an adaptive management strategy, combined with digital tools, can shape a new paradigm for enterprise development in the post-crisis period. This approach not only ensures survival in times of instability but also enables the transformation of challenges into sources of growth and strategic opportunities.

This paper proposes an adaptive real-time energy management strategy for a parallel plug-in hybrid electric vehicle (PHEV). Three efforts have been made. First, a novel driving pattern recognition method based on statistical analysis has been proposed. This method classified driving cycles into three driving patterns: low speed cycle, middle speed cycle, and high speed cycle, and then carried statistical analysis on these three driving patterns to obtain rules; the types of real-time driving cycles can be identified according to these rules. Second, particle swarm optimization (PSO) algorithm is applied to optimize equivalent factor (EF) and then the EF MAPs, indexed vertically by battery’s State of Charge (SOC) and horizontally by driving distance, under the above three driving cycles, are obtained. Finally, an adaptive real-time energy management strategy based on Simplified-ECMS and the novel driving pattern recognition method has been proposed. Simulation on a test driving cycle is performed. The simulation results show that the adaptive energy management strategy can decrease fuel consumption of PHEV by 17.63% under the testing driving cycle, compared to CD-CS-based strategy. The calculation time of the proposed adaptive strategy is obviously shorter than the time of ECMS-based strategy and close to the time of CD-CS-based strategy, which is a real-time control strategy.

There is a growing focus on the need for proactive management of climate change risk in agriculture and agricultural technologies are deemed necessary for tackling climate adaptation and/or risk management issue in the sector. Thus, this study tries to identify the in-built crop production technology related adaptation and/or risk management strategies with smallholder farmers’ perception in moisture-stressed areas of the central rift valley of Ethiopia. Results of descriptive analysis showed that high temperature, short rain and pests (indirectly) have been the most important phenomena of climate change causing loss of crop production, exhaustion and illness. Also, smallholder farmers’ adaptation and/or risk management strategies were found to be many and were usually composed of traditional and improved practices. According to farmers, the improved varieties performed from less to higher susceptibility to climate change. Results of the multivariate probit model revealed that farmers’ adaptation and/or risk management strategies are governed by different sets of socioeconomic and climatic factors which could be summarized as farmer-specific, technology specific and environment specific. Therefore, it is recommended that policy actions should consider the impact of climate change and the characteristics and diversity of adaptation and/or risk management strategies within the framework of the different socio-economic and local settings influencing farmers’ decision. Keywords: Adaptation and/or risk management mechanisms, farmers’ decision making behavior DOI : 10.7176/JEES/9-4-04 Publication date : April 30 th 2019

As a result of COVID-19, the leaders' needs to be adaptable and innovative with their approaches has never been more significant. These adaptive management and risk strategy approaches should also consider the importance of planning around cybersecurity. As a result of COVID-19, more commercial transactions are now conducted electronically; nevertheless, companies may utilize a number of different adaptive techniques to become more adaptive and safeguard both themselves and their stakeholders. The systematic investigation of different methods for effecting positive social change is known as intervention research. It is distinguished by the process of designing and developing treatments at the same time. The specification of the intervention is part of the design process as the intent of the approach is to improve the world of practice and not reconstitute theory within that academic discipline.

Efficacy of fisheries management strategies in mitigating ecological, social, and economic risks of climate warming in China.

Considering the high abundance of knotweeds along river courses, the expected increase of invasion and the consequent negative impacts on riparian ecosystems, there is a high demand for innovative approaches and management strategies. While a primary aim of weed management is to reduce the population of an invasive plant species, the goal of the pre-sented nature-based engineering solution (NABES) is to reinstall native riparian forests and to restore ecosystem functioning. The concept of NABES is to support the implemented species by frequent removal of the knotweed shoots until the native vegetation represses the knotweeds by root competition and shadow pressure. In order to be able to develop adaptive knotweed management strategies, knowledge concerning sea-sonal biomass development and the most effective maintenance intervals must be improved. Additionally, greater understanding of the interaction between invasive and native species is essential. In the present study, the effectiveness of a willow brush mattress (a frequent technique for controlling riverbank erosion) in combination with adapted management strategies was tested on a Fallopia japonica-dominated brook embankment. Due to its high ecological amplitude and excellent soil bioengineering properties the species S. purpurea was used. In the upper part of the embankment, F. japonica shoot production was by far the strongest, while it was low in the sections next to the water. The strongest biomass production was observed in the months April and May. Even though the temporal interval between shoot removal was increased, shoot production decreased strongly and nearly ceased in August. Branches of S. purpurea with contact to the water of the brook showed good development. In contrast to F. japonica, which suffered a rapid decrease in biomass production after the third survey, the coverage ratio of S. purpurea decreased gradually over the vegetation period.

Changes in work patterns due to digitalization and the pandemic have encouraged service companies, including online delivery services, to adopt a hybrid work model. In Mandailing Natal, this model presents challenges such as limited infrastructure, team coordination, and dynamic market demand. Therefore, adaptive management strategies are required to maintain optimal performance. This study employs a descriptive qualitative approach using in-depth interviews with managers, couriers, and customers from three online delivery service companies in Mandailing Natal. The data were analyzed using Miles and Huberman’s interactive model, which includes data reduction, data display, and conclusion drawing. The findings indicate that adaptive management strategies in the hybrid work model are implemented through three main steps: (1) adjusting the work structure between online and offline, (2) providing flexibility in scheduling and courier work rotation, and (3) utilizing digital technology for monitoring and communication. In addition, local factors such as geographical conditions and consumer habits are key considerations in adapting these strategies. Adaptive management strategies have been proven to improve operational effectiveness and customer satisfaction in online delivery services in Mandailing Natal. The adaptively managed hybrid work model is not only a solution to changing business environments but can also serve as a sustainable work pattern for digital-based services in regions with infrastructural limitations.

Purpose: The study aims to analyze water dynamics at the Cooperoque Effluent Treatment Station, focusing on the interactions between precipitation, evaporation, and effluent infiltration to enhance water resource management. Theoretical reference: The research references various studies and methodologies related to the quantification of evaporation from lakes and reservoirs, particularly in semi-arid regions, utilizing the Jensen-Haise Method for evaporation estimation. The research aligns with previous studies, such as Mallmann (2014), on water infiltration in soil management, emphasizing the importance of understanding water dynamics for sustainable resource management. Method: The study employs the Jensen-Haise Method to calculate evaporation rates, covering the period from January 2023 to October 2024. It examines the effects of precipitation, evaporation, and effluent infiltration on tank levels. Results and conclusion: The results reveal that tank levels are influenced by precipitation, evaporation, and effluent infiltration, with more significant declines during dry months and smaller reductions during periods of high precipitation. Evaporation rates, calculated using the Jensen-Haise Method, are higher in warmer months, contributing to lower tank levels, while these rates decrease in colder months. A notable anomaly occurred in May 2024 when effluent infiltration exceeded the volume of generated effluents and rainfall due to the activation of an irrigation system. Key findings indicate that lake levels drop more during dry months, with a significant negative water balance observed in May 2024 due to excessive infiltration during heavy rainfall. The study concludes that adaptive water management strategies are necessary to address climatic variations and improve the efficiency of the effluent treatment system. Implications of research: The research provides valuable insights for developing adaptive water management strategies to address climatic variations and improve the efficiency of effluent treatment systems. Continuous monitoring is emphasized as crucial for sustainable water resource management. Originality/value: The study highlights the complex interactions between precipitation, evaporation, and effluent dynamics, offering a foundation for improved water management practices and contributing to the preservation of regional water resources. The study contributes to the understanding of water dynamics at effluent treatment stations, offering practical insights for managing water resources effectively. It highlights the importance of adaptive strategies and continuous monitoring to maintain pond levels and optimize the treatment process.

Reviewing the performance of adaptive forest management strategies with robustness analysis

Key messageWe applied a modified forest gap model (ForClim) to depict changes in stand water transpiration via density reduction as a forest adaptation strategy. This approach is the key to analyzing the ecological resilience to drought, stress-induced mortality, and economic efficiency of managed mixed forest stands in Central Europe. The results show that specific geographic conditions and forest composition define the optimal stand density of drought-resilient forests.ContextReducing stand density has been recognized as a valid strategy to increase forest resilience to drought. Moreover, to develop adaptive management strategies (AMS) under climate change, it is crucial to consider not only drought resilience but also the economic efficiency of alternative AMS proposed to alleviate drought effects.AimsTo analyze how decreased inter-tree competition among overstorey trees affects stand vulnerability to drought and its expected yield.MethodsWe integrated experimental thinning data and historical responses to drought years in a climate-sensitive forest gap model, ForClim. We tested a business as usual (BAU) and three alternative AMS (“do-nothing,” low- and high-intensity overstorey removal) in mixed stands of Norway spruce (Picea abies), silver fir (Abies alba), and European beech (Fagus sylvatica) along an elevational gradient of 520–1020 m a.s.l. in Central Europe.ResultsHigh-intensity overstorey removal in mixed stands of all three species considerably increased forest volume growth resilience to drought and decreased stress-induced mortality by two-thirds vis à vis a “do-nothing” strategy. In sites including only conifer species, forest resilience was equally improved by high- and low-intensity overstorey removal compared to that in the BAU strategy. Regarding the timber economy, high-intensity overstorey removal resulted in a higher economic revenue of mixed stands (~ 22% higher net present value than other strategies) on the high-elevation sites (> 1000 m a.s.l.).ConclusionModifying forest density and structure by overstorey removal is principally suitable to increase forest resilience to drought and improve its economic efficiency. The magnitude of the effect however depends on the geographical setting and forest composition.

Geospatial simulation steering for adaptive management

Land consolidation of dryland-to-paddy conversion in China: Analysis of spatial patterns, impacts on cropland ecosystem services, and adaptive management strategies

Sustainable development is contingent upon being cognizant of the regional impacts of climate change, particularly its influence on rainfall patterns and waste management systems. This study examines rainfall trends from 1960 to 2023 and their implications for sustainable waste management in Ikeja, Ibadan, and Ilorin—three cities representing distinct ecological zones (EZs) in southwestern Nigeria. Using secondary data from the Nigerian Meteorological Agency, Abuja, the study applied second-order polynomial fitting and Bivariate Linear Regression Analysis (BLRA) to identify significant trends in annual rainfall. Qualitative data were collected through stakeholder interviews with community leaders and government officials, alongside document reviews of waste management practices. Thematic analysis was used to extract information on the systemic challenges and adaptive strategies needed to address climate impacts. The results indicate a statistically significant decline in annual rainfall in Ikeja (Freshwater Swamp Forest EZ) since 1985, with a correlation value of 0.39, supposedly impairing water scarcity issues and complicating waste processing. On the other hand, Ibadan (Lowland Rainforest EZ) and Ilorin (Southern Guinea Savannah) have experienced significant increases in rainfall since the early and mid-1980s, with correlation values of 0.56 and 0.61, respectively, leading to recurrent flooding that disrupts waste collection and disposal systems. The study stresses the urgent need for adaptive waste management strategies that align with Sustainable Development Goals (SDGs) 11 (Sustainable Cities and Communities) and 13 (Climate Action). By incorporating rainfall trends with qualitative acumens, this research highlights practical solutions, such as flood-resistant waste management infrastructure and water-efficient processing technologies. Policymakers and urban planners can leverage these findings to develop climate-resilient waste management systems that safeguard public health, enhance environmental quality, and ensure urban sustainability in the face of climate change.