scholarly journals Explaining land use and forest change: more theory or better methodology?

2022 ◽  
Author(s):  
Bradley B. Walters
Keyword(s):  
Land Use ◽  
Author(s):  
Somayeh Galdavi ◽  
Marjan Mohammadzadeh ◽  
Abdolrassoul Salman Mahiny ◽  
Ali Najafi Nejad

Spatial modelling of land use change is a technique for understanding changes in terms of the location and amount. In this study, logistic regression and Geomod approaches were used for modelling forest change in Gorgan area in Northern Iran in the time period of 1988-2007. To do this, at first, remotely sensed imagery data of the years 1988, 1998 and 2007 were used to produce land use maps. Land use maps accuracy assessments were achieved using Error matrix method and then the maps were used to implement change detection process in two time periods of 1988-1998 and 1998-2007. Results indicated a reduction in forest areas during the mentioned time period. Next, the independent variables were extracted in order to land use change modeling. The Results of the models implementation showed the ability of both models for forest change modeling in this region. Also, the models were used to predict the future condition of forest area in the years 2016 and 2025. The results revealed that the forest area would be associated with a reduction in the future. Comparison of the results of the models using kappa indices showed the successful implementation of both models for forest change modelling in this region. The results of this research reveal the need for appropriate applications of the proper plans to control land use change in order to preserve the environment and ecological balance of the area. Therefore, careful planning can reduce the land use change and its impacts in the future in this region.


2021 ◽  
Vol 16 (1) ◽  
Author(s):  
Lucia A. Fitts ◽  
Matthew B. Russell ◽  
Grant M. Domke ◽  
Joseph K. Knight

Abstract Background Forests provide the largest terrestrial sink of carbon (C). However, these C stocks are threatened by forest land conversion. Land use change has global impacts and is a critical component when studying C fluxes, but it is not always fully considered in C accounting despite being a major contributor to emissions. An urgent need exists among decision-makers to identify the likelihood of forest conversion to other land uses and factors affecting C loss. To help address this issue, we conducted our research in California, Colorado, Georgia, New York, Texas, and Wisconsin. The objectives were to (1) model the probability of forest conversion and C stocks dynamics using USDA Forest Service Forest Inventory and Analysis (FIA) data and (2) create wall-to-wall maps showing estimates of the risk of areas to convert from forest to non-forest. We used two modeling approaches: a machine learning algorithm (random forest) and generalized mixed-effects models. Explanatory variables for the models included ecological attributes, topography, census data, forest disturbances, and forest conditions. Model predictions and Landsat spectral information were used to produce wall-to-wall probability maps of forest change using Google Earth Engine. Results During the study period (2000–2017), 3.4% of the analyzed FIA plots transitioned from forest to mixed or non-forested conditions. Results indicate that the change in land use from forests is more likely with increasing human population and housing growth rates. Furthermore, non-public forests showed a higher probability of forest change compared to public forests. Areas closer to cities and coastal areas showed a higher risk of transition to non-forests. Out of the six states analyzed, Colorado had the highest risk of conversion and the largest amount of aboveground C lost. Natural forest disturbances were not a major predictor of land use change. Conclusions Land use change is accelerating globally, causing a large increase in C emissions. Our results will help policy-makers prioritize forest management activities and land use planning by providing a quantitative framework that can enhance forest health and productivity. This work will also inform climate change mitigation strategies by understanding the role that land use change plays in C emissions.


1994 ◽  
Vol 21 (1) ◽  
pp. 49-56 ◽  
Author(s):  
S. Robert Aiken

As in other former British colonies, the earliest protected areas in Peninsular Malaysia were game reserves. There were twenty protected areas at the end of the colonial period (1957), and twenty-five in 1992. The outstanding achievement of the colonial period was the creation of King George V National Park (now Taman Negara), but unfortunately too much reliance was subsequently placed upon it. Protected areas were established in economically undesirable or (formerly) remote areas, largely on an ad hoc basis and mainly as a kind of ‘residual’ land-use. The protected areas have long suffered from rescissions, excisions, and encroachments, primarily for three reasons: because commercial interests have always prevailed; because of insecurity of land tenure; and because ordinary people have been denied a stake in such areas.I estimate that the ‘effective’ protected-area coverage in 1992 was probably no greater than that of about AD 1940 (when, unlike the situation today, most of the Peninsula still remained forested). The Malaysian states have been reluctant to create new protected areas, and the federal government has been unwilling to invoke certain of its constitutional powers in order to acquire state lands for national parks. Consequently, proposals for additional protected areas have produced few results. Yet owing to the rapid pace of anthropogenic forest change, the Peninsula is running out of potential sites for new protected ares.Reserved forests comprise virtually all of the Peninsula's remaining forest cover (see Fig. 1). Set aside mainly for productive and protective purposes, it is these forests, not the protected areas, that harbour most of the region's wildlife. This being the case, and keeping in mind that almost all of the wild species are forest-dwelling, it follows that wildlife conservation must come to rely more and more heavily on the reserved forests. Studies conducted by Johns (e.g. 1983, 1986, 1987) at Sungai Tekam, Pahang, on the impact of logging on wildlife, reveal that most species can adapt to the altered conditions of logged forests; or, more precisely, that this appears to be the case following a single logging operation. But this topic, interesting and important as it is, takes us beyond the scope of this paper.The matter of species adaptability, however, brings to mind a more general theme, which is the need to implement the principles of conservation everywhere, not just in specially protected areas. There is, in short, no effective alternative to rational land-use planning and to making conservation an integral part of all production processes.


2020 ◽  
Vol 35 (12) ◽  
pp. 2713-2722 ◽  
Author(s):  
Susanne Raum

Abstract Context Complex interactions between societies and their environment have shaped landscapes across Europe over centuries. Therefore, taking a historical perspective can be important when designing new forestry policy and management activities. Objectives This perspective aims to improve our appreciation of how a better historical understanding of landscapes can increase our understanding of current conditions and inform current and future policy and practice. I provide a perspective on land-use legacies and forest change, with a particular emphasis on landscapes, and using the example of forestry in the United Kingdom. Methods For this purpose, I undertook a comprehensive review of scholarly forestry literature and of relevant policy and legal documents in the UK, covering the last 100 years. Results This brief review of the dynamics of forest landscapes in the UK over the last 100 years, shows that certain decisions, policies and management activities had major effects on the landscape, especially in terms of landscape patterns and species distribution, constraining it until today. Historic research investigated some of these legacies, leading to real change in policy and management, including a Broadleaved Policy, an Ancient Woodland Inventory, habitat restoration, habitat network and rewilding schemes. Research on past experiences of Dutch Elm disease in the UK and of similar outbreaks in other countries have guided responses to today’s tree pest/disease outbreaks and plant trade decisions. Conclusion A better appreciation of past decisions and activities, especially in forestry, helps to anticipate landscape legacy effects and potential cross-scale interactions of new policies and practices. It may also help to better justify and negotiate new decisions and long-term planning among multiple actors.


2009 ◽  
Vol 26 (4) ◽  
pp. 148-155
Author(s):  
Nathan A. Briggs ◽  
Steven A. Sader

Abstract Conversion of forestland to other uses is occurring in Maine as growing human populations and desire for second homes are exerting development pressures on privately owned forestland. This study was performed to assess forest cover change and conversion to developed uses in a 636,000-hastudy area in Maine. A three-date time series (2000, 2002, and 2006) of Landsat Thematic Mapper data was analyzed to detect forest cover losses, and overall mapping accuracy was determined to be 91%. Forest cover losses (percentage per year) were aggregated for 81 townships and reported foreach time sequence. Rates of forest cover loss differ among townships and for the same township in different time periods. Visual interpretation of forestland conversion using high-resolution images for a subsample of 24 townships showed that 305 of 4,716 harvested forest hectares (6.47%)was converted to developed uses. The study demonstrates the practical use of low-cost remote-sensing imagery and routine interpretation methods for accurate tracking of forest change and quantification of land use conversion. The methods are adaptable to other states to assist decisionmakersin assessing regional and local land use and planning forest conservation measures.


2020 ◽  
Vol 35 (12) ◽  
pp. 2641-2644
Author(s):  
Matteo Garbarino ◽  
Peter J. Weisberg

Africa ◽  
1996 ◽  
Vol 66 (1) ◽  
pp. 122-144 ◽  
Author(s):  
A. Endre Nyerges

AbstractThe history of vegetation and land use in western Africa includes a pattern of environmental change that can best be described as gradual, subtle, and difficult to measure accurately. As compared, for example, with the process of large-scale felling in Amazonia, deforestation in this context is not readily amenable to analysis and quantification. Local ethnographic, ecological, and ethnohistorical techniques, however, can be used to develop the information required to advance our understanding of the processes of land use and forest change in the region. In this article, research into the contemporary ecology and ethnography of one swidden fanning group, the Susu of Sierra Leone, is combined with historical reconstruction and ethnohistorical documentation of the area, beginning with the visit of the Portuguese Jesuit Priest Fr Balthazar Barreira in 1516. Later documentary sources include the journal of the British_staff sergeant Brian O'Beirne, who explored the road from Freetown to the Fouta Jallon in 1821, and an account of a regional tour by the colonial traveller Frederick Migeod in 1922. These and other data are used to determine how present production systems cause processes of forest change, to assess the extent to which present production systems reflect the past, and to determine how past systems have affected the environment and changed and evolved over time.


2020 ◽  
Vol 2 ◽  
pp. 1-1
Author(s):  
Jaturong Som-ard ◽  
Savittri Ratanopad Suwanlee ◽  
Worawit Jitsukka ◽  
Komin Cheunbanyen

Abstract. The Royal Forest Department of Thailand has permitted people to use the resources in national parks since 2005. It leads to a decrease in forest areas. This study aims to monitor and predict forest land change in Phu Phan National Park using Landsat 5 TM images in 1998 and 2008, and Sentinel-2 MSI image in 2018. The atmosphere correction was conducted for satellite images. Land use changes were classified by object base image analysis (OBIA), include forest, agriculture, built-up, water and miscellaneous. The land use maps were measured, and then the CA-Markov model was applied to predict the forest change in a year of 2028. The results demonstrate that overall accuracy (OA) of land use maps is 85.6%, 88%, and 89.6% in 1998, 2008 and 2018, respectively. The land use map in 2018 is more accurate than others because the high-resolution image and current data input. Moreover, the use of reference data nowadays has high potential and reality for classification. During 1998 to 2008, forest and built-up extended 45.35% and 5.07%, respectively. Meanwhile, miscellaneous, agriculture, and water decreased by 41.38%, 21.92%, and 3.45%. During 2008 to 2018, agriculture, miscellaneous, and built-up slightly increased by 21.92%, 14.75%, and 12.26%, respectively while forest and water decreased by 48.82% and 2.24%, respectively. The predicted forest change in 2028 is a decrease by 10.49% due to land use change to miscellaneous, agriculture, built-up, and water area, as forest is likely to be trespassed for built-up and agriculture areas as a result of local population growth. The results of the study can be useful for planning and managing the national park in the future.


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