CHANGES IN LAND USE: ILLUSTRATION OF THE IMPACT OF REGIONAL PROGRAM SUPPORT IN INCREASING THE FORESTED AREA IN PODLASKIE VOIVODSHIP

Author(s):  
Anna Maria Klepacka ◽  
Wojciech Florkowski ◽  
Monika Bagińska

Achieving goals of the national reforestation program for 2020 is threatened by its slow implementation despite financial support provided through the EU rural development programs. This study attempts to examine association between the increase in the forest cover and they are of agricultural land in Poland between 2010 and 2015 and the indirect association between the forest cover and regional migration, and residents seeking employment outside agriculture by registering microenterprises focusing only on Podlaskie Voivodship. The description of the observed developments has been supplemented by calculations of the Pearson correlation coefficient between the key indicators considered in this study. The calculated correlations coefficients suggest strong association between the EU funding and the reforested area in three districts surrounding the major cities in the region. Strong correlations were found between regional migration and the entrepreneurial activity reflected in the number of registered micro-enterprises in the case of Białystok and Łomża districts, but somewhat weaker associations in the case of Suwałki district. The transfer of land away from agriculture to reforestation is affected by the local technical infrastructure expansion, e.g., road construction, and influences the obtained correlation coefficients.

2020 ◽  
Vol 12 (19) ◽  
pp. 3226
Author(s):  
Daniel Cunningham ◽  
Paul Cunningham ◽  
Matthew E. Fagan

Global tree cover products face challenges in accurately predicting tree cover across biophysical gradients, such as precipitation or agricultural cover. To generate a natural forest cover map for Costa Rica, biases in tree cover estimation in the most widely used tree cover product (the Global Forest Change product (GFC) were quantified and corrected, and the impact of map biases on estimates of forest cover and fragmentation was examined. First, a forest reference dataset was developed to examine how the difference between reference and GFC-predicted tree cover estimates varied along gradients of precipitation and elevation, and nonlinear statistical models were fit to predict the bias. Next, an agricultural land cover map was generated by classifying Landsat and ALOS PalSAR imagery (overall accuracy of 97%) to allow removing six common agricultural crops from estimates of tree cover. Finally, the GFC product was corrected through an integrated process using the nonlinear predictions of precipitation and elevation biases and the agricultural crop map as inputs. The accuracy of tree cover prediction increased by ≈29% over the original global forest change product (the R2 rose from 0.416 to 0.538). Using an optimized 89% tree cover threshold to create a forest/nonforest map, we found that fragmentation declined and core forest area and connectivity increased in the corrected forest cover map, especially in dry tropical forests, protected areas, and designated habitat corridors. By contrast, the core forest area decreased locally where agricultural fields were removed from estimates of natural tree cover. This research demonstrates a simple, transferable methodology to correct for observed biases in the Global Forest Change product. The use of uncorrected tree cover products may markedly over- or underestimate forest cover and fragmentation, especially in tropical regions with low precipitation, significant topography, and/or perennial agricultural production.


2020 ◽  
Vol 9 (4) ◽  
Author(s):  
Halake Guyo Rendilicha ◽  
Patrick Home ◽  
James M. Raude ◽  
Charles M. M’Erimba ◽  
Stellamaris Muthoka

The study assessed the impact of land-use types on the groundwater quality of the mid River Njoro catchment, Kenya. Groundwater samples were collected from eight boreholes between the period of October 2017 to February 2018 and analyzed for pH, temperature, electrical conductivity, dissolved oxygen, nitrate, ammonium, and total phosphorus. These parameters were used to calculate the Groundwater Quality Index (GQI) value of the study area. The concentration maps (“primary maps I”) were constructed using Kriging interpolation of ArcGIS software from the seven groundwater quality parameters. The “primary maps I” were standardized with the KEBS and WHO standards to the “primary maps II” for ease of integration into a GIS environment. The “primary maps II” were then rated and weighted using a polynomial function to generate “rank maps” before calculating the GQI using spatial analyst tools of ArcGIS software. The land use map was prepared from a high-resolution Google earth satellite imagery of 2015. The mean GQI values for the different land use polygons were calculated and compared using GIS techniques. The GQI ranged from 68.38 to 70.92, indicating a high groundwater quality of mid River Njoro catchment. The major land-use types identified include settlement area, forest cover, agricultural land and mixed area. The agricultural land dominated the study area, followed by settlement area, forest cover and finally mixed area. The mean GQI value in each land use type varied minimally and this could be because of the diffuse nature of the land use types of the study area. Settlement area had low GQI, followed by agricultural land, mixed area and the forest cover had the highest mean GQI value, which corresponds to good quality of groundwater. Even though the variation is insignificant in this particular study, it somehow indicates the adverse effects of different land use on the quality of groundwater.


2021 ◽  
Author(s):  
Arthur Depicker ◽  
Liesbet Jacobs ◽  
Nicholus Mboga ◽  
Benoît Smets ◽  
Anton Van Rompaey ◽  
...  

<p>On the nexus of humans and their environment, landslide risk is in essence dynamic. In mountainous areas over the world, the need for agricultural land incites people to settle on steeper (more landslide-prone) terrain at the expense of ecosystems. At the same time, the degradation of ecosystems, for example through deforestation, leads to a considerable increase in landslide hazard. Although the link between deforestation and landslide hazard/risk has been widely recognized, it remains poorly quantified. This is especially the case in the Global South where historical land cover and landslide records are scarce.  </p><p>In this study, we investigate 58 years of forest cover changes, population dynamics, and landslide risk in the Kivu Rift. This mountainous region presents similar geomorphic and climatic conditions across three countries: Burundi, the eastern part of the Democratic Republic of the Congo (DRC), and Rwanda. First, we use contemporary landslide and deforestation data (2000-2016) to explicitly quantify the interactions between these two processes. Second, we reconstruct the annual forest cover changes between 1958 and 2016 by means of a cellular automaton of which the output converges to four forest cover products (1958, 1988, 2001, 2016). We derive the 1958 forest data from an inventory of nearly 2,400 panchromatic aerial photographs, available at the Royal Museum for Central Africa. The forest data for 1988, 2001, and 2016 are readily available and derived from satellite imagery. Next, we estimate the yearly historical landslide hazard dynamics by applying the contemporary deforestation-landslide relationship to the historical forest cover changes. Finally, an approximation of the landslide risk (expected fatalities per 100,000 inhabitants), is calculated for four epochs (1975, 1990, 2000, 2015) and derived from the product of the corresponding hazard map and population density grids.</p><p>During our entire period of observation, the landslide risk is higher in the DRC than in Rwanda and Burundi. While the risk in Rwanda and Burundi displays a slightly decreasing trend, the risk seems more volatile in the DRC. Here, the initial risk in 1975 is high due to the concentration of a small population along the steep northwestern coast of Lake Kivu. In the following 15 years, the risk in the DRC decreases sharply, only to soar again in the nineties. This sudden increase in risk can be linked to two factors: demographic changes and environmental degradation. During the nineties, the location of the Congolese people shifted towards steeper terrain. This shift is explained by the relocation of hundreds of thousands of Rwandan refugees and internally displaced people following the First and Second Congo War, but also by the economic opportunities provided by the booming, often informal, mining industry. Deforestation has also contributed to the higher landslide risk in the DRC, as large parts of the primary forest have been cut to satisfy the land and fuelwood demand of the fast-growing population.</p><p>With our analysis, we demonstrate that a landslide risk assessment is more than the reflection of the current environmental conditions. The legacy of environmental and societal dynamics resonates in contemporary landslide risk.</p>


2021 ◽  
Vol 13 (19) ◽  
pp. 10519
Author(s):  
Julia Calderón Cendejas ◽  
Lucía Madrid Ramírez ◽  
Jorge Ramírez Zierold ◽  
Julio Díaz Valenzuela ◽  
Martín Merino Ibarra ◽  
...  

The present study explores the impact of different land uses on water quality in a Mexican basin and addresses key mitigation measures, with key measurements made by citizen scientists. The Amanalco-Valle de Bravo Basin reservoir is the major freshwater supply for Mexico City. By measuring physical-chemical and bacteriological parameters in creeks over 21 months and correlating them to land use areas, it was possible to understand the impacts of different land uses (urban, forest, riparian forests, and different agricultural systems) in water quality. The results show that the concentration of E. coli, nitrates, nitrites, total phosphorus, total nitrogen, and total suspended solids were higher than the recommended reference levels, and that average oxygen saturation and alkalinity were lower than the recommended reference levels in most sites. The analysis of the Pearson correlation coefficient showed a strong relationship between water pollution and urban and agricultural land uses, specifically a higher impact of potato cultivation, due to its intensive use of agrochemicals and downhill tilling. There was a clear positive relationship between total forest area and riparian vegetation cover with improved water quality, validating their potential as nature-based solutions for the regulation of water quality. The results of the present study indicate the opportunities that better land management practices generate to ensure communities’ and water ecosystems’ health. This study also highlights the benefits of citizen science as a tool for raising awareness with regard to water quality and nature-based solutions, and as an appropriate tool for participative watershed management.


2020 ◽  
Vol 13 (2) ◽  
pp. 25-35
Author(s):  
Ika Rizkyah Khomzi ◽  
Setiyo Yuli Handono ◽  
Anis Trianawati

This study aimed to describe the synergy of stakeholders in development of Pujon Kidul village tourism and the impact from the synergy of stakeholder. This study used qualitative approach and the analysis data used interactif model from Miles and Huberman. Determination of informants was using purposive sampling with consideration of representatives from each stakeholders involved in the development of Pujon Kidul village tourism. The result showed that the level of synergy was in respectful level. The supporting factors in the synergy of stakeholders were openness, mutual benefits, good communications, and no personal interest. Inhibiting factors in the synergy of stakeholders were community perception about Cafe Sawah was different, lacking communication with BNI Brawijaya, lacking knowledge about regulation to develop Cafe Sawah, and mindset money oriented. The results also reveal the impact of the synergy of stakeholder in development Pujon Kidul village tourism especially in Cafe Sawah were employment, encouraging entrepreneurial activity, improve income, increased awareness about cleanliness, decreased of juvenile delinquency, local cultures began to disappear, increased cleanliness, disruptions of traffic around village, and agricultural land conversions.


Author(s):  
Mihai Antonia ◽  
Horia Tigau

Abstract Our study contributes to bridging the empirical gap between regional disparities and entrepreneurship, using a spatial panel framework. Regional disparities in Romania increased after the communist period and even more after the EU accession. Using NUTS3 level data provided by The Romanian National Institute of Statistics, for the period 2008-2018, we investigate the impact of entrepreneurship on regional disparities. We have found new details regarding the link between entrepreneurial activity and inequality. Entrepreneurship matters but, most importantly, it matters differently in developed, emerging and low-income countries. The results suggest that entrepreneurship does not have a significant impact on regional disparities in Romania.


Water ◽  
2019 ◽  
Vol 11 (12) ◽  
pp. 2444 ◽  
Author(s):  
Dinesh Tuladhar ◽  
Ashraf Dewan ◽  
Michael Kuhn ◽  
Robert J. Corner

Changes in rainfall and land use/land cover (LULC) can influence river discharge from a catchment in many ways. Homogenized river discharge data from three stations and average rainfall records, interpolated from 13 stations, were examined for long-term trends and decadal variations (1970–2017) in the headwater, upper and middle catchments of the Bagmati River. LULC changes over five decades were quantified using multitemporal Landsat images. Mann–Kendall tests on annual time series showed a significant decrease in river discharge (0.61% per year) from the entire Bagmati catchment, although the decrease in rainfall was statistically insignificant. However, declines in river discharge and rainfall were both significant in upper catchment. Decadal departures from long-term means support these trend results. Over tenfold growth in urban area and a decrease in agricultural land were observed in the upper catchment, while forest cover slightly increased in the entire catchment between 1975 and 2015. Correlation analysis showed a strong association between surface runoff, estimated using the curve number method, observed river discharge and rainfall in the upper catchment, while the relationship was weaker in the headwater catchment. These results were also supported by multiple regression analysis, suggesting that human activities together with climate change have contributed to river discharge changes in the Bagmati catchment.


2018 ◽  
Vol 18(33) (1) ◽  
pp. 100-110
Author(s):  
Agnieszka Komor

The aim of the article was to identify and assess the spatial diversity of agricultural biomass production of plant origin in EU countries as the basic raw material used to create bioproducts and bioenergy. The study uses statistical data obtained from EUROSTAT. The research period covered 2015. Descriptive and parametric statistics were used to interpret the study, and also the indicators of structure, density and intensity were used, as well as the Pearson correlation coefficient. The study found that in 2015 about 51,5% of plant biomass in agriculture produced in the EU were by-products - derived from crop residues, fodder crops and grazed biomass. The production of plant biomass was characterized by considerable spatial differentiation both in relation to biomass derived from arable crops (the leaders in this respect were: France, Germany, Spain, Italy and Poland) as well as to other biomass (Germany, France, Poland, Great Britain and Italy had the largest share). In 2015, nearly ¾ of the plant biomass produced in the EU was produced in seven countries (i.e. Germany, France, Poland, Great Britain, Spain, Italy and Romania). The analysis also included the dependences among the size of biomass production, the population potential of the country (measured by the share in the EU population) and the production potential of agriculture (measured in the share of agricultural land in the EU). This allowed the designation of four groups of countries.


2021 ◽  
Author(s):  
Everton Horiquini Barbosa ◽  
Isadora Ferreira ◽  
Thamires Máximo Neves Felice

Introduction: The knowledge about the impact of biological and socio- environmental factors on motor development is essential to generate subsidies to planning strategies to promote and prevent neuropsychomotor delays. The aim of this study was to assess the influence of nutritional factors on the neuropsychomotor development of children aged 13 to 30 months, through the correlation between neuropsychomotor development assessed by the Denver II test and the nutritional status calculated by the z score of BMI-for-age (z-BMI/A) and weight-for-height (z-W/H). Methods: This study was carried out with nine children regularly enrolled in the Braziliand public education system. Results: Based on the final interpretation of the Denver II test, a prevalence of 33% of children with atypical performance (2 male and 1 female) was found. Regarding to z-BMI/A, one child was characterized as overweight (1 male) and three children were at risk of being overweight (1 male and 2 female), based on z-W/H three children were at risk of being overweight (2 male and 1 female). The Pearson correlation test showed that there was a strong association between changes in the Denver II and the nutritional status. Conclusion: The findings of the present study show that children classified as overweight and at risk of being overweight are more likely to be at risk for development, based on Denver test. Therefore, taking together the above findings, the present study reinforces the importance of evaluating and monitoring longitudinally both nutritional and motor development, highlighting the importance of multiprofessional performance and early approach.


Land ◽  
2020 ◽  
Vol 9 (2) ◽  
pp. 41 ◽  
Author(s):  
Evelin Jürgenson ◽  
Marii Rasva

In most European countries, there has been a decrease in the number of farms, while the area of agricultural land has remained almost the same. This ongoing process of land concentration can affect Europe’s small farms and rural areas. The EU has acknowledged that the problem is serious and that, to solve it, it must be studied more closely. Accordingly, the aim of this study is to discuss changes in the agricultural sector from the aspect of land use, with emphasis on land concentration in Estonia, further scientific discussion about the effects of changes in land use on rural areas is encouraged. The study is carried out using two kinds of data sources: (1) statistical data from Eurostat, FAOSTAT and Statistics Estonia, (2) data from the Estonian Agricultural Registers and Information Board. The conclusion of the paper is that while the number of farms is going down, the average area of agricultural land use per farm is on the rise in Estonia. Agricultural land has been increasingly concentrated into the hands of corporate bodies. This study shows that there is a status of land concentration in Estonia that needs ongoing studies and a proper policy should be established to mitigate the impact of land concentration.


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