Social-ecological and institutional factors affecting forest and landscape restoration in the Chittagong Hill Tracts of Bangladesh

Ahammad, Ronju; Hossain, Mohammed Kamal; Sobhan, Istiak; Hasan, Rakibul; Biswas, Shekhar R.; Mukul, Sharif A.

doi:10.1016/j.landusepol.2022.106478

Cited by 21 publications

(28 citation statements)

References 37 publications

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“…The error between the predicted urban land-use demand based on the transition probability matrix for the period 2000-2005 and the observed urban land-use demand in 2020 is 12.7%. (2) The scaling exponent relating the population growth and urban area of Jinjiang City from 2005 to 2020 is 0.933. The relative rate of urban land area expansion is less than the relative growth rate of the population, which reflects an efficient use of land in the urban system of Jinjiang.…”

Section: Discussionmentioning

confidence: 99%

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Coupling Random Forest, Allometric Scaling, and Cellular Automata to Predict the Evolution of LULC under Various Shared Socioeconomic Pathways

2023

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Accurately estimating land-use demand is essential for urban models to predict the evolution of urban spatial morphology. Due to the uncertainties inherent in socioeconomic development, the accurate forecasting of urban land-use demand remains a daunting challenge. The present study proposes a modeling framework to determine the scaling relationship between the population and urban area and simulates the spatiotemporal dynamics of land use and land cover (LULC). An allometric scaling (AS) law and a Markov (MK) chain are used to predict variations in LULC. Random forest (RF) and cellular automata (CA) serve to calibrate the transition rules of change in LULC and realize its micro-spatial allocation (MKCARF-AS). Furthermore, this research uses several shared socioeconomic pathways (SSPs) as scenario storylines. The MKCARF-AS model is used to predict changes in LULC under various SSP scenarios in Jinjiang City, China, from 2020 to 2065. The results show that the figure of merit (FoM) and the urban FoM of the MKCARF-AS model improve by 3.72% and 4.06%, respectively, compared with the MKCAANN model during the 2005–2010 simulation period. For a 6.28% discrepancy between the predicted urban land-use demand and the actual urban land-use demand over the period 2005–2010, the urban FoM degrades by 21.42%. The growth of the permanent urban population and urban area in Jinjiang City follows an allometric scaling law with an exponent of 0.933 for the period 2005–2020, and the relative residual and R2 are 0.0076 and 0.9994, respectively. From 2020 to 2065, the urban land demand estimated by the Markov model is 19.4% greater than the urban area predicted under scenario SSP5. At the township scale, the different SSP scenarios produce significantly different spatial distributions of urban expansion rates. By coupling random forest and allometric scaling, the MKCARF-AS model substantially improves the simulation of urban land use.

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Section: Discussionmentioning

confidence: 99%

“…On a global scale, change in LULC is affected by slow long-term effects caused by natural factors. On a regional scale, change in LULC is driven by human activities related to land use and management [1,2]. Advances in technology and medicine have led to a rapidly growing population that has created a huge demand for natural resources.…”

Section: Introductionmentioning

confidence: 99%

Coupling Random Forest, Allometric Scaling, and Cellular Automata to Predict the Evolution of LULC under Various Shared Socioeconomic Pathways

2023

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“…This management system involves combining elements such as work relationships, administrative structures, functions, stakeholder roles, practices and various activities that further form integrated enforcement (Gezik et al, 2022). Enforcement management is seen to be able to improve the status of geopark entities that strive to champion regional development policies from the perspective of sustainable development and heritage conservation (Ahammad et al, 2023). This enforcement system is still in its early stages and all stakeholders need to understand and appreciate the concept of geoparks, sustainable development, and transition management as a whole.…”

Section: Jostipmentioning

confidence: 99%

Integrity for the Enforcement in Forestry Perspective

Mahmud

2023

JOSTIP

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The Forestry Department is one of the organizations that preserve national treasure assets consistently. As civil servants and staff of the Forestry Department organization, they must uphold the nature of trust, transparency, and responsibility and serve the public interest, which is the essence of the terms integrity and ethics. In other words, integrity and ethics in work and organization is not just an individual's self-involvement to provide for his own needs but rather involves good actions done at work and all of this is closely related to religious teachings and responsibility as a human being. The erosion of the value of integrity among civil servants in the Forestry Department will result in administrative errors and misconduct in the organization. Therefore, the practice and understanding of integrity and ethics must be implemented. The government has already paid serious attention to the problem of integrity and ethics among civil servants by launching Corruption Risk Management to develop the country in a balanced way. Realizing the importance of integrity as the core of quality staff development, this study discusses integrity in law enforcement from the perspective of the Forestry Department. In addition, this article describes the issues and challenges faced by the Forestry Department related to the lack of research on the implications of forestry law enforcement, especially shared values, makes it difficult for policy makers to determine conservation goals, methods and standards that are suitable for local acceptance. There is also a proposal to improvise on the integrity of the Forestry department by identifying the policy and revising the working procedures of area applications and creating an open tender system so that the selection of loggers is more transparent. Ultimately, it can improve the integrity of law enforcement from the perspective of the Forestry Department so that all employees and civil servants in an organization can practice it in order to improve the quality of superior and effective services.

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“…Furthermore, we acknowledge that ecological aspects alone are not sufficient to explain failed restoration outcomes (Elias et al., 2022; Maniraho et al., 2023). The process of successfully and efficiently restoring degraded ecosystems also relies on the trust and engagement of relevant stakeholder groups such as local communities and authorities, and on the social‐economic and political settings such as functionality of the land tenure policies (Ahammad et al., 2023; Metcalf et al., 2015; Petursdottir et al., 2013; Walters et al., 2021). Since we aim to demonstrate here how CS dynamics can explain some of the variation in restoration outcomes from an ecological perspective, instead of highlighting the various dimensions that may influence restoration outcomes, inclusion of social‐economic factors are beyond the scope of our manuscript.…”

Section: Introductionmentioning

confidence: 99%

Explore before you restore: Incorporating complex systems thinking in ecosystem restoration

Maes,

Perring,

Cohen

et al. 2024

Journal of Applied Ecology

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The global movement for ecosystem restoration has gained momentum in response to the Bonn Challenge (2010) and the UN Decade on Ecosystem Restoration (UNDER, 2021–2030). While several science‐based guidelines exist to aid in achieving successful restoration outcomes, significant variation remains in the outcomes of restoration projects. Some of this disparity can be attributed to unexpected responses of ecosystem components to planned interventions. Given the complex nature of ecosystems, we propose that concepts from Complex Systems Science (CSS) that are linked to non‐linearity, such as regime shifts, ecological resilience and ecological feedbacks, should be employed to help explain this variation in restoration outcomes from an ecological perspective. Our framework, Explore Before You Restore, illustrates how these concepts impact restoration outcomes by influencing degradation and recovery trajectories. Additionally, we propose incorporating CSS concepts into the typical restoration project cycle through a CSS assessment phase and suggest that the need for such assessment is explicitly included in the guidelines to improve restoration outcomes. To facilitate this inclusion and make it workable by practitioners, we describe indicators and methods available for restoration teams to answer key questions that should make up such CSS assessment. In doing so, we identify key outstanding science and policy tasks that are needed to further operationalize CSS assessment in restoration. Synthesis and applications. By illustrating how key Complex Systems Science (CSS) concepts linked to non‐linear threshold behaviour can impact restoration outcomes through influencing recovery trajectories, our framework Explore Before You Restore demonstrates the need to incorporate Complex Systems thinking in ecosystem restoration. We argue that inclusion of CSS assessment into restoration project cycles, and more broadly, into international restoration guidelines, may significantly improve restoration outcomes.

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Social-ecological and institutional factors affecting forest and landscape restoration in the Chittagong Hill Tracts of Bangladesh

Cited by 21 publications

References 37 publications

Coupling Random Forest, Allometric Scaling, and Cellular Automata to Predict the Evolution of LULC under Various Shared Socioeconomic Pathways

Coupling Random Forest, Allometric Scaling, and Cellular Automata to Predict the Evolution of LULC under Various Shared Socioeconomic Pathways

Integrity for the Enforcement in Forestry Perspective

Explore before you restore: Incorporating complex systems thinking in ecosystem restoration

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