Land Use Transformation Research Articles

Mapping aboveground biomass in Indonesian lowland forests using GEDI and hierarchical models

Spaceborne lidar (light detection and ranging) instruments such as the Global Ecosystem Dynamics Investigation (GEDI) provide a unique opportunity for global forest inventory by generating broad-scale measurements sensitive to the vertical arrangement of plant matter as a supplement to in situ measurements. Lidar measurables are not directly relatable to most physical attributes of interest, including biomass, and therefore must be related through statistical models. Further, GEDI observations are not spatially complete, necessitating methods to convert the incomplete samples to predictions of area averages/totals. Such methods can face challenges in equatorial and persistently cloudy areas, such as Indonesia, where the density of quality observations is diminished. We developed and implemented a hierarchical model to produce gap-free maps of aboveground biomass density (AGBD) at various resolutions within the lowlands of Jambi province, Indonesia. A biomass model was trained between local field plots and a metric from GEDI waveforms simulated with coincident airborne laser scanning (ALS) data. After selecting a locally suitable ground-finding algorithm setting, we trained an error model depicting the discrepancies between the simulated and GEDI-observed waveforms. Finally, a geostatistical model was used to model the spatial distribution of the on-orbit GEDI observations. These three models were nested into a single hierarchical model, relating the spatial distribution of GEDI observations to field-measured AGBD. The model allows spatially complete predictions at arbitrary resolutions while accounting for uncertainties at each stage of the relationship. The model uncertainties were low relative to the predicted biomass, with a median relative standard deviation of 8% at the 1 km resolution and 26% at the 100 m resolution. The spatially consistent information on AGBD provided by our model is beneficial in support of sustainable forest management, carbon sequestration initiatives and the mitigation of climate change. This is particularly relevant in a dynamic tropical landscape like Jambi, Indonesia in order to understand the impacts of land-use transformations from forests to cash crops like oil palm and rubber. More generally, we advocate for the use of hierarchical models as a framework to account for multiple stages of relationships between field and sensor data and to provide reliable uncertainty audits for final predictions.

Suburbanization in Multi-ethnic Area – Conflicts and Local Strategies

The effects of suburbanization can be examined from several aspects, but beyond the individual decisions that initiated it, the real estate market aspects, or the transformation of land use, the effects on local communities and their reactions are rarely highlighted in professional circles. In our work within the agglomeration of Bratislava, the Slovak capital, we researched individual and collective opinions on suburbanization, as well as the questions and potential conflict situations arising among members of the “host community.” A striking element of the study area is that migration also means a change in the linguistic environment, as the newcomers often arrive from a predominantly Slovakspeaking city to an area mostly inhabited by the Hungarian minority. This adds additional dimensions to suburbanization and the responses it generates. Experiences show that the municipalities affected by the process use independent, yet in certain respects similar, strategies to manage it, and as part of these strategies, the ethnic factor also appears prominently in some topics.

Digital Economy and Green and Low-Carbon Transformation of Land Use: Spatial Effects and Moderating Mechanisms

The green and low-carbon transformation of land use (GLTLU) is a pressing global issue that requires urgent attention. The digital economy has emerged as a new driver for the GLTLU. However, current research mainly focuses on the measurement and environmental effects of the digital economy, with less exploration of how the digital economy influences the spatial effects and regulatory mechanisms of GLTLU, particularly regarding the differential impacts and specific mechanisms at the regional level. This study uses panel data from 283 cities in China from 2011 to 2019, employing the spatial Durbin model (SDM) and the panel threshold model to examine the spatial and regulatory mechanisms of the digital economy’s impact on GLTLU. The findings reveal that digital economy promotes GLTLU not only within cities but also in surrounding regions. Robustness analyses support this conclusion. Notably, the digital economy’s positive impact on GLTLU in surrounding areas is confined to the central region of China. In contrast, the Yangtze River Delta urban agglomeration experiences a significant negative impact on GLTLU in nearby regions due to the digital economy. The study also identifies that the positive spatial spillover effect of the digital economy on GLTLU reaches its peak at a distance of 450 km. Additionally, the digital economy’s ability to promote GLTLU is contingent upon financial agglomeration levels exceeding 9.1728. Moreover, the local government’s emphasis on the digital economy and intellectual property protection enhances the digital economy’s impact on GLTLU. The promotion effect is maximized when these factors surpass the thresholds of 27.8054 and 3.5189, respectively. Overall, this study contributes to the understanding of how the digital economy influences sustainable land development, highlighting the critical role of regional factors and regulatory mechanisms in amplifying the digital economy’s positive effects on GLTLU.

Impacts of the land use transition on ecosystem services in the Dongting Lake area

Urbanization-induced land use transitions (LUTs) result in a decline in ecosystem services, which has implications for regional ecological security. In order to explore the relationship between ecosystem services and land use transition, this paper utilizes the InVEST model, a geographically weighted regression (GWR) model, to examine the impact of land use transition on ecosystem services in the Dongting Lake area (DLA). The results showed that 1) with the change in urbanization development, the average values of land use transition intensity (LUI) in 2000, 2010, and 2020 are 237.99, 235.82, and 238.92, respectively. Land use dynamics (LUD) show a tendency to increase and then decrease, with average values of 5.58 and 5.62 for the periods 2000–2010 and 2010–2020, respectively, and the transformation of land use shows obvious spatio-temporal heterogeneity. 2) Habitat quality and carbon sequestration showed a downward trend. In contrast, food supply followed an upward trend; soil conservation (SC) and water yield (WY) services initially increased and decreased later. The overall spatial changes in habitat quality and carbon sequestration appear to be insignificant. Food supply shows significant differences in the plains compared to other areas, while soil conservation and water yield service show significant changes in places other than the DLA. 3) From 2000 to 2020, land use transition dynamics, population density, GDP density, night lighting, and transition intensity had mainly negative effects on ecosystem services. Only the Normalized Vegetation Index (NDVI) showed a positive effect on ecosystem services. The results of the research will provide valuable references for the development and implementation of spatial ecological restoration planning and land use policies in the national territory.

The complementary role of carbon dioxide removal: A catalyst for advancing the COP28 pledges towards the 1.5 °C Paris Agreement target

As the imperative to address climate change becomes more pressing, there is an increasing focus on limiting global temperature increase to 1.5 °C by the end of the century relative to pre-industrial levels. During the recent Conference of Parties (COP28), nations committed to tripling renewable energy generation to a minimum of 11,000 GW by 2030 and increasing the global annual energy efficiency from 2 % to 4 % annually until 2030. Additionally, the Food and Agricultural Organization (FAO) introduced a roadmap to transition the Agri-food system from a net emitter to a carbon sink. The role of carbon dioxide removal (CDR) is important; first to accelerate the near-term reduction in net emissions, counterbalance residual emissions at the point of net-zero by mid-century, and sustain large net negative emissions beyond mid-century to return warming to safe levels after decades of temporal overshoot. This paper assesses the impact of the COP 28 agreements, alongside the complementary role of CDR on emission levels, energy structure, land use, and global warming temperature. The findings indicate that implementing the COP28 pledges and FAO roadmap leads to a warming temperature of 2 °C, falling short of the ambitious 1.5 °C temperature limit. Likewise, more stringent actions on transitioning away from fossil plants is a high-priority mitigation action which drives significant emissions reduction. The modelled result shows that Agricultural soil carbon and biochar contribute 47–58 % share of the total CDR deployed in the stylized scenarios. In conclusion, CDR can expedite climate goals but must complement emission reduction efforts; hence, the transition away from fossil fuels should prompt the development of detailed roadmaps. Also, more global efforts should be placed on nature-based CDR methods, as they offer diverse co-benefits.

Colonial policy, ecological transformations, and agricultural “improvement”: comparing agricultural yields and expansion in the Spanish and U.S. Philippines, 1870–1925 CE

Burgeoning global trade and colonial policies promoted transformations in land use and agriculture throughout tropical regions in the 19th and 20th centuries, but the local and regional ecological consequences of landscape changes are still being identified and analysed. The Philippine Archipelago, which experienced successive colonial regimes across more than 7100 islands, exemplifies the multiplicity of ecological outcomes produced by these transformations. To better characterise diverse landscape change, we use colonial censuses and datasets to assess land use, production and agricultural yields in the Philippines during the late Spanish and early U.S. colonial periods (ca. 1870–1925). Our novel digital, quantitative analysis indicates that, at the national and provincial scales, agricultural production and land use increased for all major crops in both periods, while agricultural yields were mostly constant. Our results suggest that colonial investments to “improve” Philippine agriculture, specifically their efforts to increase production per hectare, were not effective. Our provincial-scale analysis also confirms the importance of distinct labour patterns, geographies and socio-political arrangements in defining this period’s ecological consequences, and we provide quantified and historically contextualised data in a format amenable to ecologists to promote future, localised historic ecological research.

Impact of land-use change on ecological vulnerability in the Yellow River Basin based on a complex network model

The Yellow River Basin in China, which is characterized by significant soil erosion and arid to semi-arid conditions, has experienced severe ecological issues due to prolonged excessive development and land-use changes. Studies on ecosystem vulnerability have become a major basis for supporting the sustainable and healthy development of watershed ecosystems. Based on the land-use data of 2000, 2005, 2010, 2015, and 2020, this study used a complex network model to identify the key types of land-use transformation in the Yellow River Basin. The cascade failure model was used to evaluate the impact of land-use transformation on ecological vulnerability in the Yellow River Basin of China. The land-use changes in the Yellow River Basin from 2000 to 2020 exhibit significant heterogeneity in both quantity and direction. Among them, the total area of agricultural land showed a downward trend as a whole, and the area rebounded slightly from 2000 to 2015. The growth trend of construction land area is obvious, with a year-on-year increase of 46.81 % in 20 years. Through network identification, we found that ecological land types such as forest, grassland, and dryland are the primary factors contributing to land area outflow. Conversely, artificial land types including urban land, rural residential land, and other built-up land predominantly serve as factors for land area inflow. The Yellow River Basin experiences frequent land-use transitions, resulting in the poor stability of the land transfer network. However, the study reveals that the ecosystem service value increases as the areas of paddy fields, dryland, urban land, rural residential land, and bare land decrease; this trend contributes to mitigating ecological vulnerability. To ensure the overall stability of the ecosystem and implement healthy and sustainable development, the maximum reduction in the areas of dryland, forest, paddy, and grass should be limited to 40 %, 30 %, 50 %, and 50 %, respectively, in future planning and design processes. In conclusion, the land-use transformation in the Yellow River Basin of China has profound implications for ecological vulnerability. The research findings can provide valuable references for future ecological research on areas facing similar challenges in protecting ecological fragility.

Will industrial structure changes promote or reduce non-grain production? Evidence from the Yangtze River Economic Belt

Non-Grain Production (NGP) on cropland emerges from complex interactions of human activities and environmental changes, posing an important threat to China's national food security. Exploring the driving forces of NGP and impact patterns is crucial to improve existing cropland protection policies. This study analyzes the relationship between the change of industrial structure and NGP in the Yangtze River Economic Belt (YREB)from 2000 to 2019 by using a spatial econometric model and a threshold effect model. Through the exploration of spatiotemporal evolution, the complex relationship between the change of industrial structure and the non-grain conversion of cultivated land is revealed. The results show that the change of industrial structure in the YREB affects the transformation of cultivated land use to a certain extent, and there is an obvious spatial spillover effect. At the same time, through the application of the threshold effect model, the threshold points affecting the relationship between industrial structure change and NGP conversion are found, which guides the formulation of relevant policies. Based on the research results, policy recommendations with regional differences are put forward to promote the coordinated development of land use protection and food security. Our study has important theoretical and practical significance for in-depth understanding of sustainable development and food security in the YREB and similar regions.

Dynamics of Land use and Land cover in the Belitung Island, Indonesia

Belitung Island, situated in the Southeast Asian tin belt, experiences substantial transformations in land use and land cover (LULC) driven by mining activities, impacting both local economic growth and the ecosystem. This study aims to elucidate the dynamic LULC changes on Belitung Island and evaluate deforestation trends. LULC data spanning from 1990 to 2020 were acquired from The Indonesian Ministry of Environment and Forestry (KLHK), employing supervised classification of satellite imageries. The dataset demonstrated an overall accuracy ranging from 0.79 to 0.92 and was reclassified into six types based on the Intergovernmental Panel on Climate Change or IPCC's classes, encompassing forest, cropland, grassland, other land, settlements, and wetlands. Our research unveiled a notable reduction of over 25 % in forest cover within the past 30 years. Notably, 2020 exhibited instances of reforestation, which subsequently transformed into cropland (0.57 %), grassland (0.32 %), and other lands (0.39 %). Belitung Island grapples with challenges related to sustainable development, environmental conservation, and food security. Forest Landscape Restoration (FLR) emerges as a potential strategy to address some of the socioeconomic and ecological issues.

Coupling and Coordination of Implicit Land Use and Ecological Security in Huaihe River Basin, China

The Huai River Basin is located in Jiangsu, Anhui, Shandong, Hubei, and Henan provinces of China. We explored the spatiotemporal characteristics and their changes in the ecological security and the form index of implicit land use using an equivalent factor method and a coupling coordination model. The coupling coordination between land use and ecological security was explored by evaluating the transformation of implicit land use. It was important to optimize the spatial pattern of the Huai River Basin and develop the area as eco-friendly. The research results indicated that the form index of land use in the five provinces increased from 2000 to 2015 and the degree of implicit land use was high with spatiotemporal differentiation. The transformation of land use showed a cycle, and the transformation speed was fast but slowed. The level of coupling and coordinated development in the provinces varied greatly. The implicit land use and ecological security in each province were imbalanced which was improved.

Urban Development and Climate Change: Implications for Educational Tourism Destination Planning

Global warming caused by greenhouse gas emissions, transportation, and the transformation of land use caused by population growth is a critical problem that requires immediate and urgent interventions, especially in popular tourism destinations where the impact on quality of life is intense. In recent years, while new urban developments have been carried out for higher education institutions, less attention has been paid to the environmental implications of such expansions. Surprisingly, despite a growing interest in climate change action in educational institutions, little is known about the link between Land Surface Temperature (LST) variability and Surface Urban Heat Island (SUHI) of university campuses and their host communities. To fill the gaps mentioned earlier, this study aims to provide a comprehensive analysis of the spatial and temporal variability of the SUHI and the LST within a university campus and its surrounding urban environment. Using Sentinel 3 images and the TsHARP algorithm, the LST was determined, the SUHI was calculated, and the hot spots were obtained in an educational tourism hub; Famagusta, Cyprus. The Panel Data and ANOVA techniques were used for the subsequent analysis of the findings. Findings indicated that due to its low-rise buildings and large green areas, the studied campus not only had little contribution to the creation of SUHI but even minimized its effects on the urban areas attached to it. These findings provide valuable implications for authorities in standardizing criteria for future university establishments.

Unveiling the frontiers: Historical expansion and modern implications of agricultural land use in Denmark

This study offers a first-of-its-kind investigation into the spatial and temporal transformation of agricultural land use and expansion in crops and livestock at national scale during the middle and latter half of the 19th century.We introduce an innovative methodological framework that combines historical data with advanced spatial analysis to trace and map the evolution of frontiers of agricultural land use changes, illustrating Denmark's agricultural evolution towards the modern era.Our research uncovers critical shifts in cropland, grazing land, and livestock density offering unprecedented insights into the mechanisms driving agricultural expansion and intensification. The mechanisms driving this expansion and their potential impact on contemporary agroecological challenges linked to land use intensification are explored. Our results point to a significant broadening and shifting of land use frontiers offering a historical perspective on agricultural land use. This sets the stage for promoting the analysis of drivers of change and gaining insights into how landscape development could be steered into an environmentally and societally more desirable and sustainable direction tackling present-day agroecological challenges.

Challenges for Sustainable Urban Planning: A Spatiotemporal Analysis of Complex Landslide Risk in a Latin American Megacity

This paper analyzes the spatiotemporal evolution of a complex landslide risk scenario in a Latin American megacity, underscoring the key challenges it poses for sustainable urban planning in such cities. This research draws upon multiple studies commissioned by the mayor’s office of the megacity of Bogota, Colombia, and utilizes aerial photographs and satellite imagery from diverse sensor types. The methodology used considered six spatiotemporal analysis scenarios: rural/natural, mining, urban, landslide risk, stabilization and environmental park, and informal reoccupation. The findings reveal a complex interplay between the megacity’s peripheral areas, which face constraints for human settlement, and their potential for construction material exploitation. This complex relationship was further compounded by weaknesses in planning and controlling peripheral occupations, coupled with a burgeoning demand for developable land in a landslide risk context (landslide area: 73 ha). The analysis scenarios highlighted the predominant use of a reactive urban planning approach that addressed events, changes, or problems after they had occurred, rather than proactively anticipating and preventing potential risks at the study site. The detected land-use transformations unveiled different historical moments, culminating in a landslide disaster (804 houses destroyed, 3000 families at risk). This catastrophe necessitated a radical and significant intervention, incurring substantial costs for the megacity administration (USD 26.05 million). This landslide was the largest recorded in the megacity and one of the most extensive in urban areas across Latin America.

Future ecosystem service provision under land-use change scenarios in southwestern Ethiopia

ABSTRACT Continued pressure and transformation of land-use by humans are key drivers of biodiversity and ecosystem services (ES) loss. To determine the sustainability of possible future land-use practices, it is important to anticipate likely future changes to biodiversity and ES. This can help stakeholders and decision-makers to understand and assess the viability of current development policies and design alternative future pathways. Focusing on a biodiversity hotspot in southwestern Ethiopia, we considered four future land-use scenarios (namely: ‘Gain over grain’, ‘Coffee and conservation’, ‘Mining green gold’ and ‘Food first’ scenarios) that were developed in an earlier project via participatory scenario planning. We modelled and mapped the spatial distribution of six ES (erosion control, carbon storage, coffee production, crop production, livestock feed, and woody-plant richness) for the current landscape and the four scenarios. Our results show that potential ES changes differed strongly across the scenarios. Changes were strongest for land-use scenarios involving large-scale agricultural intensification; and changes were not uniformly distributed across the landscape. Smallholder farmers specializing on cash crops (‘Gain over grain’ scenario) would likely cause little change to ES generation, but major losses in ES would result from expanding either food or coffee production (‘Mining green gold’ and ‘Food first’). Finally, the ‘Coffee and conservation’ scenario appears to be the most sustainable scenario because it would secure diverse ES for the long term. Our findings provide valuable input for decision-makers and stakeholders and could help to identify sustainable land-use options.

Response of soil erosion to vegetation and terrace changes in a small watershed on the Loess Plateau over the past 85 years

Land use on the Chinese Loess Plateau has undergone dramatic changes over the past few decades. The implementation of a series of soil and water conservation measures has significantly altered the soil erosion, transportation, and deposition processes on the Loess Plateau. To effectively address and mitigate soil erosion, it is crucial to accurately quantify the soil loss rate and analyze the contributions of soil and water conservation measures over the past several decades. In this study, the Zhifanggou watershed, located in the hilly area of the Chinese Loess Plateau, is utilized as an illustrative example. Using historical data, remote sensing imagery, and on-site data of soil, vegetation, and soil conservation measures, we assessed the soil loss rates from 1938 to 2022 based on long-term land use changes, utilizing the Chinese Soil Loss Equation (CSLE) model. Furthermore, we employed a quantitative evaluation to assess the impacts of vegetation change and terrace construction on soil erosion. The findings of our study reveal significant transformations in land use. Farmland experienced an initial increase followed by a subsequent decline, while the opposite pattern was observed for forest land. The simulated soil loss rate for the entire watershed exhibited an upward trend, rising from 34.86 t·ha−1·yr−1 in 1938 to 104.11 t·ha−1·yr−1 in 1958, before declining to 56.98 t·ha−1·yr−1 in 1999 and reaching 5.87 t·ha−1·yr−1 in 2022. Attribution analysis showed that vegetation change exerted a dominant influence on recent soil erosion dynamics, accounting for 86.10 % of the total contribution in 2022, while terraces contributed 13.90 %. These findings clarify long-term soil erosion mechanisms and provide guidance for watershed soil and water conservation management.

China's pathway towards a net zero and circular economy: A model-based scenario analysis

The remarkable economic growth of China over recent decades has been accompanied by significant achievements in poverty reduction. However, this growth has also led to increased resource consumption and greenhouse gas (GHG) emissions. It's now evident that addressing the triple challenges of climate change, biodiversity loss, and pollution hinges in part on China's capacity to curtail its resource use and emissions. Our study utilises an integrated economic modelling framework to assess China's role in the global context. We evaluate ambitious policies in resource efficiency, GHG reduction, and land-use transformation within China. Our findings indicate that, under such ambitious policies, China could likely achieve peak material use and emissions by 2030 and attain net zero emissions by 2050. Moreover, our analysis underscores that China can play a pivotal role in helping achieve global climate goals in collaboration with the rest of the world. Implementing well-designed policies, including the adoption of a circular economy approach, might enable China to meet these environmental targets with minimised economic costs.

NEOLIBERAL URBAN GROWTH AND THE SHOCK CITY OF GURUGRAM : A SPATIO-TEMPORAL ANALYSIS

The land-use transformations have been the dominant factor in the growth story of Gurgaon in the last three decades. Gurugram has emerged as an edge city to Delhi with suburbanization features depicting the phenomenon of Urban Doughnut, with the transformation of agricultural land into residential and commercial spaces. This newly built region of Gurugram is the center of producers services such as financial and accountancy for the region. It also acts as the hub for new industrial space geography and destination for the service sector outsourcing. The technological connectivity of the city with the worlds metropolis gives it an edge over self-propelling urban growth in the city region apart from the influence of spatial proximity to Delhi. The neoliberal transformations in the landuse have the backing of local government policies and the City growth generally follows the formal planning documents of the city. The city has been built on the agricultural land of the hinterland villages which leads to the socio-economic transformations in the interstitial space of these villages. KEYWORDS: Neoliberalism; LULC change; Edge city; Urban Doughnut; Master plan

Post-displacement placemaking to reconnect social capital after the 3.11 earthquake and tsunami in Arahama, Japan

The growing number of natural hazards cause an increase in displacement and disconnections of affected population from their pre-disaster environments. People affected by the March 11, 2011, Great East Japan Earthquake and Tsunami (3.11) faced similar issues. By efforts of Japanese national and local governments, community organizations and individuals, land use restrictions were implemented, and houses and communities were rebuilt. Consequently, original affected lands were emptied, and former residents’ social capital became more disconnected. In response, placemakers took diverse initiatives to recover hazardous areas, reconnect displaced communities, and promote community resilience. This study examined post-3.11 placemaking efforts from the Arahama area of Sendai City in Miyagi Prefecture through different perspectives of land-use transformation, placelessness, place attachment, and reconnecting social capital. Our findings show that post-disaster long-term placemaking projects that have people-based approaches successfully created “third places” with a strong sense of attachment. In these cases, placemakers collectively preserved valuable pre-disaster meanings of places while creating new meaning of places for users and themselves, actively enhanced dimensions of social capital, and reconnected displaced social capital. This research also found that placemaking processes offered dynamic functions, activities, and interventions, resulting in enhanced sense of place.

Analysis and Prediction of Land Use/Land Cover Changes in Korgalzhyn District, Kazakhstan

Changes occurring because of human activity in protected natural places require constant monitoring of land use (LU) structures. Therefore, Korgalzhyn District, which occupies part of the Korgalzhyn State Natural Reserve territory, is of considerable interest. The aim of these studies was to analyze changes in the composition of the land use/land cover (LULC) of Korgalzhyn District from 2010 to 2021 and predict LU transformation by 2030 and 2050. Landsat image classification was performed using Random Forest on the Google Earth Engine. The combined CA-ANN model was used to predict LULC changes by 2030 and 2050, and studies were carried out using the MOLUSCE plugin. The results of these studies showed that from 2010 to 2021, there was a steady increase in the share of ploughable land and an adequate reduction in grassland. It is established that, in 2030 and 2050, this trend will continue. At the same time, there will be no drastic changes in the composition of other land classes. The obtained results can be helpful for the development of land management plans and development policies for the Korgalzhyn District.

Climate Dynamics and Historical Transformation of Land Use and Occupation Due to Urbanization in Recife-PE

Objetivo: Analisar a dinâmica climática e o processo histórico de transformação do uso e da ocupação do solo decorrente da urbanização do Recife. Referencial Teórico: Historicamente, o processo de urbanização tem alterado a paisagem natural. Entre as formas mais comuns de uso e da ocupação do solo, que promovem tal alteração, estão: a remoção da cobertura vegetal e a modificação dos sistemas hídricos, que contribuem para a degradação dos ecossistemas e elevação da temperatura. Método: Foi realizada uma abordagem exploratória e descritiva, assim como a técnica de pesquisa bibliográfica e documental. Utilizou-se tanto materiais já publicados, quanto técnicas de levantamento de dados e elaboração de gráficos. Resultados: A partir da análise dos dados identificou-se, como principais resultados, as características geomorfológicas, os índices de crescimento populacional, o padrão pluviométrico e suas variações, bem com o aumento da temperatura média do Recife. Implicações da pesquisa: Os resultados deste trabalho podem contribuir com a gestão pública, considerando a integração da paisagem natural com a dinâmica do uso e de ocupação do solo no processo de urbanização, a fim de elaborar políticas públicas eficazes. Com o fito de mitigar ou mesmo erradicar os riscos de impactos socioambientais vivenciados pela sociedade em geral e, principalmente, pelas comunidades mais vulneráveis. Originalidade/valor: Por se tratar de uma abordagem exploratória e descritiva fundamentada pela técnica de pesquisa bibliográfica e documental, pode ser considerada uma pesquisa original, visto que os resultados gerados estão relacionados com objetivo desta pesquisa.