Global change effects on land management in the Mediterranean region

Malek, Žiga; Verburg, Peter H.; Geijzendorffer, Ilse R.; Bondeau, Alberte; Crämer, Wolfgang

doi:10.1016/j.gloenvcha.2018.04.007

Cited by 101 publications

(57 citation statements)

References 90 publications

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“…Although change management has been around for a while, it becomes more popular recently for its role in initiating significant changes to work procedure and culture in rapidly changing fields, such as pollution prevention, fertilizer, water resource, energy, raw materials management, pesticide residues, etc. [5]. According to Graetz [6] "increasing globalization, deregulation, the rapid pace of technological innovation, a growing knowledge workforce, and shifting social and demographic trends, few would dispute that the primary task for management today is the leadership of organizational change".…”

Section: Introductionmentioning

confidence: 99%

An Intelligent and Adaptive Model for Change Management

Alshahrani¹

2020

IJACSA

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The continuous and rapid changes that are taking place in the world today makes the change management crucial to any organization. The existing change management models bridge the gap between motivation, planning, and implementation. These models are highly significant as the organizational change is not a rare event anymore, but it is an ongoing process, and the 'business as usual' model becomes insignificant to most organizations. To automatize the theoretical model of change management, an intelligent and adaptive model for change management is developed in this paper, which takes into consideration all the positive and negative effects (factors) that may take place at any time and any place internally (internal factors) or externally (external factors). Based on these factors, accordingly, the proposed model can efficiently find a reasonable solution that adapts to the existing situation to avoid any failure of organizational management. The proposed system is built based on a decision support system (DSS) with inputs that represent the influencing factors and an output that represents feedback on the method of management. In this paper, the proposed change management model has been verified, and the results have been reported accordingly.

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Section: Introductionmentioning

confidence: 99%

An Intelligent and Adaptive Model for Change Management

Alshahrani¹

2020

IJACSA

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“…Globally, most of the Earth's surface has been changed by human activities. One of the most significant reasons these changes occur is agricultural land use [1][2][3]. However, amended agricultural landscapes were successfully colonized, e.g., by increasing wildlife populations of large ungulates which have been documented across many countries in Europe [4][5][6][7][8][9].…”

Section: Introductionmentioning

confidence: 99%

Effects of Bark Stripping on Timber Production and Structure of Norway Spruce Forests in Relation to Climatic Factors

Cukor

Vacek

Linda

et al. 2019

Forests

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The aim of this study was to assess the effects of bark stripping caused by sika deer (Cervus nippon [Temminck]) on the production and structure of young Norway spruce (Picea abies L. Karst) forest stands (41–43 years). Production parameters, structure, diversity, and the dynamics of radial growth in selected forest stands in relation to climatic conditions were evaluated. Similar to other production parameters, stand volumes showed lower values on research plots heavily damaged by bark stripping (290 m3 ha−1) compared to stands with lower tree stem damages (441 m3 ha−1). A significant decrease in stem volume was recorded for trees with stem circumference damage higher than 1/3 of the stem circumference. In most cases, the trees were damaged between the ages of 10–23 years, specifically the radial growth was significantly lowered in this period. The diameter increment of damaged trees dropped to 64% of the healthy counterparts in this period. Bark stripping damages reached up to 93% of the stem circumference with a mean damage of 31%. Stem rot was found on 62% of damaged trees. In our study area, with respect to the terms of climatic conditions, precipitation had a higher effect on radial growth of the Norway spruce compared to temperature. The main limiting climatic factor of tree growth was the lack of precipitation within a growing season, particularly in June of the current year.

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“…In this regard, the rapid advances in science and observation of climate change have favored the widespread incorporation of climatic variables as direct drivers in regional-scale scenarios and future projections, especially in impact assessments (Moss et al 2010). In contrast, substantial research is still needed about the inclusion of other important short-term drivers of biodiversity and ecosystem change such as land use (habitat modification, degradation and overexploitation), invasive species and pollution (FRB 2013;Titeux et al 2016;Sirami et al 2017; but see for example Malek et al 2018). There are multiple issues that hamper the incorporation of those drivers of change in forecasting approaches, including mismatching scales between the available data and the modelled process, the short temporal coverage of data, or the actual lack of quantitative data for some drivers (Hauck et al 2015).…”

Section: Introductionmentioning

confidence: 99%

The use of scenarios and models to evaluate the future of nature values and ecosystem services in Mediterranean forests

et al. 2018

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Science and society are increasingly interested in forecasting the effects of global change and socioeconomic development on natural systems, to ensure maintenance of both ecosystems and human wellbeing. The Intergovernmental Platform on Biodiversity and Ecosystem Services has identified the combination of ecological modelling and scenario forecasting as key to improving our understanding of those effects, by evaluating the relationships and feedbacks between direct and indirect drivers of change, biodiversity, nature benefits to people and good quality of life. We reviewed the literature to evaluate the use of future scenarios and ecological models to predict the condition and trends of Mediterranean forests, and the services they provide, under different drivers and components of global change. Forests of the Mediterranean basin represent an ideal case of a complex socio-ecological system, where impact assessments must deal with multiple cultural, ecological and economic values, and complex dynamics of social change. Our review shows that forecasting studies make relatively little use of modelling approaches accounting for actual ecological processes and feedbacks between different socio-ecological sectors; predictions are generally made on the basis of a single (mainly climate) or a few drivers of change; in general, there is a bias in the set of nature and ecosystem services indicators assessed; in particular, cultural services are underrepresented in the literature. We argue that these shortfalls hamper our capacity to make the best use of predictive tools to inform decisionmaking in the context of global change.

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Global change effects on land management in the Mediterranean region

Cited by 101 publications

References 90 publications

An Intelligent and Adaptive Model for Change Management

An Intelligent and Adaptive Model for Change Management

Effects of Bark Stripping on Timber Production and Structure of Norway Spruce Forests in Relation to Climatic Factors

The use of scenarios and models to evaluate the future of nature values and ecosystem services in Mediterranean forests

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