scholarly journals Integrating Insights from Social-Ecological Interactions into Sustainable Land Use Change Scenarios for Small Islands in the Western Indian Ocean

2020 ◽  
Vol 12 (4) ◽  
pp. 1340 ◽  
Author(s):  
Rebecca Jo Stormes Newman ◽  
Claudia Capitani ◽  
Colin Courtney-Mustaphi ◽  
Jessica Paula Rose Thorn ◽  
Rebecca Kariuki ◽  
...  

Small islands are vulnerable to the synergistic effects of climate change and anthropogenic disturbances due to the fact of their small area, geographical isolation, responsive ecologies, rapidly growing and developing populations and exposure to sea level and climate change. These changes exert pressures on ecosystem services, such as the provisioning of resources, and therefore threaten the sustainability of livelihoods. We reviewed key sustainability and livelihoods literature to bring together concepts of environmental livelihood resilience and stability across temporal and spatial scales and integrated them to produce a new conceptual framework for dynamic environmental livelihood sustainability (DESL). This framework aims to facilitate the incorporation of local community perspectives into water, energy and food nexus thinking about sustainable land use to support local livelihoods. Finally, we provide insights from this case study to evaluate the effectiveness of the DESL framework in addressing gaps in existing frameworks. We suggest this framing provides a mechanism for enhancing the agency of communities to produce more cohesive and inclusive land use management plans that can lead to enhanced environmental sustainability pathways.

2019 ◽  
Vol 11 (23) ◽  
pp. 6729
Author(s):  
Schubert ◽  
Rauchecker ◽  
Caballero Calvo ◽  
Schütt

The coastal strip of the western peri-urban area of Barranquilla in the Atlántico Department (Colombia) is experiencing changes in human-environment interactions through infrastructure, residential, and tourism projects in a vulnerable landscape. In the hilly area, fragments of biodiverse tropical dry forest still exist in various states of conservation and degradation. To understand the interrelated social, economic, and ecological transformations in the area, we analyzed land use change on the local scale including the local community’s perception, because the local community is a key actor for sustainable land use. For the analysis of the interrelated social, economic, and ecological processes, we combined visual interpretation of high-resolution satellite imagery, on-site field land use mapping, and a spatial statistical analysis of the distribution of land use classes with in-depth interviews and a participatory GIS workshop, thus benefitting from the complementary methodological strengths of these approaches. The case study is the rural community of El Morro, which exhibits the typical social, economic, and ecological changes of the coastal strip of the western peri-urban area of Barranquilla. The local community perceives a continuous loss of forest area, but observations from on-site field mapping cannot confirm this linear trend. We observed a gradual replacement of traditional land uses such as smallholder agriculture, charcoal production, and cattle breeding by services for tourism, gated community projects for urban dwellers, and infrastructure projects; these spatial developments have several characteristics of rural gentrification. We conclude that the drivers of environmental degradation have changed and the degradation increased. The development projects of external companies have been rejected by the local community and have induced environmental consciousness among community members. Thus, the local community has become an advocate for sustainable land use in the study area.


Author(s):  
Robert Hecht ◽  
Martin Behnisch ◽  
Hendrik Herold

AbstractGeospatial analysis and visualisation can be used to gain knowledge about land use structure and its changes on different spatial scales, which in turn is key to unlock the potential for sustainable land use development. This editorial provides a frame to a set of papers of the topical collection “Innovative approaches, tools and visualization techniques for analyzing land use structures and dynamics of cities and regions”, which was initiated in conjunction with the 2017 International Land Use Symposium taken place in Dresden, Germany. It first introduces current, urging land use, development and management challenges. Further on, the editorial presents the individual contributions and reflects their affiliation to the themes “Mapping and Monitoring Approaches” and “Planning, Decision Support and Participation”. Although the objectives, methods and underlying data used in the papers of this topical collection greatly vary, as pieces of a puzzle they contribute to a better analysis and understanding of current and future land use structures and dynamics of cities and regions.


2020 ◽  
Vol 12 (18) ◽  
pp. 7542 ◽  
Author(s):  
Noelia Guaita García ◽  
Julia Martínez Fernández ◽  
Carl Fitz

Scenario analysis is a useful tool to facilitate discussions about the main trends of future change and to promote the understanding of global environmental changes implications on relevant aspects of sustainability. In this paper, we reviewed 294 articles published between 1995–2019, to evaluate the state of the art use of models and scenarios to investigate the effects of land use change and climate change on natural and social-ecological systems. Our review focuses on three issues. The first explores the extent to which the environmental dynamics of land use and climate change were jointly analyzed and the spatial scales associated with such integrated studies. The second explores the modelling methodologies and approaches used in the scenario analysis. The third explores the methods for developing or building scenarios. Results show that in most predictions there is little integration of key drivers of change. We find most forecasting studies use a sectoral modelling approach through dynamic spatially distributed models. Most articles do not apply a participatory approach in the development of scenarios. Based on this review, we conclude that there are some gaps in how scenario analysis on natural and social-ecological systems are conducted. These gaps pose a challenge for the use of models and scenarios as predictive tools in decision-making processes in the context of global change.


Author(s):  
Nguyen Kim Loi

With the changes in climatic, biophysical, socio-cultural, economic, and technological components, paradigm shifts in natural resources management are unavoidably and have to be adapted/modified to harmonize with the global changes and the local communities’ needs. This chapter focuses on sustainable land use and watershed management in response to climate change impacts. The first part covers some definitions and background on sustainable land use, watershed management approach, and sustainable watershed management. The second part describes the use of the Geographic Information System (GIS) and Spatial Decision Support System (SDSS) model focusing on the framework for a planning and decision making, computer-based system for supporting spatial decisions. The mathematical programming has been reviewed focusing on optimization algorithms that include optimization modeling and simulation modeling for decision making. Finally, the example of methodology development for sustainable land use and watershed management in response to climate change in Dong Nai watershed, Vietnam is presented.


2013 ◽  
pp. 2080-2101
Author(s):  
Nguyen Kim Loi

With the changes in climatic, biophysical, socio-cultural, economic, and technological components, paradigm shifts in natural resources management are unavoidably and have to be adapted/modified to harmonize with the global changes and the local communities’ needs. This chapter focuses on sustainable land use and watershed management in response to climate change impacts. The first part covers some definitions and background on sustainable land use, watershed management approach, and sustainable watershed management. The second part describes the use of the Geographic Information System (GIS) and Spatial Decision Support System (SDSS) model focusing on the framework for a planning and decision making, computer-based system for supporting spatial decisions. The mathematical programming has been reviewed focusing on optimization algorithms that include optimization modeling and simulation modeling for decision making. Finally, the example of methodology development for sustainable land use and watershed management in response to climate change in Dong Nai watershed, Vietnam is presented.


Floods are one of the most common natural disasters worldwide. In Malaysia, floods cause significant economic damage and loss of human life. The frequency and magnitude of floods are increasing due to climate change and related anthropogenic activities. This study surveyed 280 respondents living in the Temerloh district which is in the midstream zone of the Pahang River Basin. This paper highlights their flood experience and identifies the cause of floods from the view of lay people. Results show that respondents are experienced in flood and flood-related damages. However, their perception of the causes of floods focused on natural causes while ignoring anthropogenic activities such as land use changes. To identify the land use changes, we used a classified shapefile for the years 2000 and 2010 from the Department of Agriculture, Malaysia and used overlay procedure in ArcGIS 10.1. Within the ten years, significant land use changes took place which could increase future flood risks. This paper argues that a grassroots approach to solving flood-related problems is essential. Accordingly, policymakers and decision-makers should involve the local community in the decision making which may develop their flood risk perception and awareness about sustainable land use.


2021 ◽  
Author(s):  
Karina Winkler ◽  
Richard Fuchs ◽  
Mark Rounsevell ◽  
Martin Herold

<p>Land use change is a major contributor to greenhouse gas emissions and biodiversity loss and, hence, a key topic for current sustainability debates and climate change mitigation. To understand its impacts, accurate data of global land use change and an assessment of its extent, dynamics, causes and interrelations are crucial. However, although numerous observational data is publicly available (e.g. from remote sensing), the processes and drivers of land use change are not yet fully understood. In particular, current global-scale land change assessments still lack either temporal consistency, spatial explicitness or thematic detail. <br>Here, we analyse the patterns of global land use change and its underlying drivers based on our novel high-resolution (~1x1 km) dataset of global land use/cover (LULC) change from 1960-2019, HILDA+ (Historic Land Dynamics Assessment+). The data harmonises multiple Earth Observation products and FAO land use statistics. It covers all transitions between six major LULC categories (urban areas, cropland, pasture/rangeland, forest, unmanaged grass-/shrubland and no/sparse vegetation).<br>On this basis, we show (1) a classification of global LULC transitions into major processes of land use change, (2) a quantification of their spatiotemporal patterns and (3) an identification of their major socioeconomic and environmental drivers across the globe. By using temporal cross-correlation, we study the influence of selected drivers on processes such as agricultural land abandonment, deforestation, forest degradation or urbanisation.<br>With this, we are able to map the patterns and drivers of global land use change at unprecedented resolution and compare them for different world regions. Giving new data-driven and quantitative insights into a largely untouched field, we identify tele-coupled globalisation patterns and climate change as important influencing factors for land use dynamics. Learning from the recent past, understanding how socio-economic and environmental factors affect the way humans use the land surface is essential for estimating future impacts of land use change and implementing measures of climate mitigation and sustainable land use policies.</p>


2017 ◽  
Vol 8 (2) ◽  
pp. 369-386 ◽  
Author(s):  
Reinhard Prestele ◽  
Almut Arneth ◽  
Alberte Bondeau ◽  
Nathalie de Noblet-Ducoudré ◽  
Thomas A. M. Pugh ◽  
...  

Abstract. Land-use and land-cover change (LULCC) represents one of the key drivers of global environmental change. However, the processes and drivers of anthropogenic land-use activity are still overly simplistically implemented in terrestrial biosphere models (TBMs). The published results of these models are used in major assessments of processes and impacts of global environmental change, such as the reports of the Intergovernmental Panel on Climate Change (IPCC). Fully coupled models of climate, land use and biogeochemical cycles to explore land use–climate interactions across spatial scales are currently not available. Instead, information on land use is provided as exogenous data from the land-use change modules of integrated assessment models (IAMs) to TBMs. In this article, we discuss, based on literature review and illustrative analysis of empirical and modeled LULCC data, three major challenges of this current LULCC representation and their implications for land use–climate interaction studies: (I) provision of consistent, harmonized, land-use time series spanning from historical reconstructions to future projections while accounting for uncertainties associated with different land-use modeling approaches, (II) accounting for sub-grid processes and bidirectional changes (gross changes) across spatial scales, and (III) the allocation strategy of independent land-use data at the grid cell level in TBMs. We discuss the factors that hamper the development of improved land-use representation, which sufficiently accounts for uncertainties in the land-use modeling process. We propose that LULCC data-provider and user communities should engage in the joint development and evaluation of enhanced LULCC time series, which account for the diversity of LULCC modeling and increasingly include empirically based information about sub-grid processes and land-use transition trajectories, to improve the representation of land use in TBMs. Moreover, we suggest concentrating on the development of integrated modeling frameworks that may provide further understanding of possible land–climate–society feedbacks.


Author(s):  
Nguyen Kim Loi ◽  
Nguyen Thi Huyen ◽  
Le Hoang Tu ◽  
Vo Ngoc Quynh Tram ◽  
Nguyen Duy Liem ◽  
...  

The Srepok river basin (28,600km2) is located in the Central Highlands of Vietnam. There are many critical issues for soil and water resource management in the basin. Therefore, to make suitable adaptation plans, decision makers need to understand the extent of the potential impact of both climate change and human activity on local soil and water resources. The objective of this chapter was to investigate changes in stream flow, sediment load, and hydrological processes resulting from land use change and climatic variation. Plausible scenarios of land use change developed in a GIS environment based on current conditions, information from the area, and climate change scenarios were built on outputs of GCMs from the SEA-START. These changes were then inputted into SWAT model to project future hydrological variables. Results demonstrated that stream flow was predominant, followed by evapotranspiration. Groundwater was more predominant than surface water. This has been one of the best outstanding advantages in the Srepok watershed.


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