scholarly journals REFORESTATION PLANNING BASED ON PLANT HARDINESS ZONES IN VITILEVU ISLAND, FIJI

Author(s):  
D. L. Cornelio

Abstract. Significant land use changes in Fiji Islands caused soil degradation, pollution and biodiversity losses. The planting of trees is an option of sustainable land use with long term ecological and economic advantages. Spatial models based on ecological requirements of tree species facilitates decision making, planning and risks management before planting. A land suitability analysis with Geographic Information System (GIS) was carried out to identify areas in Vitilevu island for the planting of eleven native and exotic tree species. Altitudes, rainfall and forest cover maps were used as discrimination factors in boolean operations. The species with higher ecological potential for plantation were Syzygium decussatum (22% of the total area), Tectona grandis (19% of the total area), and Metroxylon vitiense (18% of the total area). The model is robust but can be enhanced by adding thematic layers of other environmental factors.

Author(s):  
Stanley Atonya ◽  
Luke OLANG ◽  
Lewis Morara

A comprehensive undertanding of land-use/cover(LUC) change processes, their trends and future trajectories is essential for the development of sustainable land-use management plans. While contemporay tools can today be employed to monitor historical land-cover changes, prediction of future change trajectories in most rural agro-ecological landscapes remains a challenge. This study evaluated potential LUC changes in the transboundary Sio-Malaba-Malakisi River Basin of Kenya and Uganda for the period 2017-2047. The land use change drivers were obtained through a rigorous fieldwork procedure and the Logistic Regression Model (LGM) to establish key factors for the simulation. The CLUE-S model was subsequently adapted to explore future LUC change trajectories under different scenarios. The model was validated using historical land cover maps for the period of 2008 and 2017, producing overall accuracy result of 85.7% and a Kappa coefficient of 0.78. The spatial distribution of vegetation cover types could be explained partially by proximate factors like soil cation exchange capacity, soil organic carbon and soil pH. On the other hand, built-up areas were mainly influenced by population density. Under the afforestation scenario, areas under forest cover expanded further occupying 54.7% of the basin. Conversely, under the intense agriculture scenario, cropland and pasture cover types occupied 78% of the basin. However, in a scenario where natural forest and wetlands were protected, cropland and pasture only expanded by 74%. The study successfully outlined proximate land cover change drivers, including potential future changes and could be used to support the development of sustainable long-term transboundary land-use plans and policy.


SOIL ◽  
2015 ◽  
Vol 1 (1) ◽  
pp. 173-185 ◽  
Author(s):  
R. Zornoza ◽  
J. A. Acosta ◽  
F. Bastida ◽  
S. G. Domínguez ◽  
D. M. Toledo ◽  
...  

Abstract. Soil quality (SQ) assessment has long been a challenging issue, since soils present high variability in properties and functions. This paper aims to increase the understanding of SQ through the review of SQ assessments in different scenarios providing evidence about the interrelationship between SQ, land use and human health. There is a general consensus that there is a need to develop methods to assess and monitor SQ for assuring sustainable land use with no prejudicial effects on human health. This review points out the importance of adopting indicators of different nature (physical, chemical and biological) to achieve a holistic image of SQ. Most authors use single indicators to assess SQ and its relationship with land uses – soil organic carbon and pH being the most used indicators. The use of nitrogen and nutrient content has resulted sensitive for agricultural and forest systems, together with physical properties such as texture, bulk density, available water and aggregate stability. These physical indicators have also been widely used to assess SQ after land use changes. The use of biological indicators is less generalized, with microbial biomass and enzyme activities being the most selected indicators. Although most authors assess SQ using independent indicators, it is preferable to combine some of them into models to create a soil quality index (SQI), since it provides integrated information about soil processes and functioning. The majority of revised articles used the same methodology to establish an SQI, based on scoring and weighting of different soil indicators, selected by means of multivariate analyses. The use of multiple linear regressions has been successfully used for forest land use. Urban soil quality has been poorly assessed, with a lack of adoption of SQIs. In addition, SQ assessments where human health indicators or exposure pathways are incorporated are practically inexistent. Thus, further efforts should be carried out to establish new methodologies to assess soil quality not only in terms of sustainability, productivity and ecosystem quality but also human health. Additionally, new challenges arise with the use and integration of stable isotopic, genomic, proteomic and spectroscopic data into SQIs.


2016 ◽  
Vol 4 (3) ◽  
pp. 35
Author(s):  
Agustin Arisandi Mustika ◽  
Samsul Bakri ◽  
Dyah Wulan S. R. Wardani

The conversion of forest area into non-forest area generally can causing the ecology and micro climate change especially rainfall.   The impact of these changes in other side can increasing the probability in occurrence of vector-born disease such as Aedes aegypti mosquito couse of Dengue Hemorrhagic Fever (DHF).   Besides of environmental factors, poverty level, rainfall, and housing conditions the suspected also affect the incidence of dengue.  This research aimed to determine of changes in forest cover and land, poverty level, and housing conditions as well as the impact to the incidence of dengue fever in Lampung. Data collected included primary data of land use changes of Lampung Province and the secondary  data  such  as  the  data  of  precipitation  rapid,  poverty  level,  healthy  house proportion and Incidence Rate of dengue.  The dynamic of changes in forest cover and landper distric/city identified through by Landsat image interpretation 5, 7 and 8  in 2002, 2009 and 2014.   While the impact on DHF analyzed using multiple linear models.   The results showed that there was a significant relationship between the changes of the people forest cover   -1,2634   (p=0,001),   intensive   agricultural   0,5315   (p=0,016),   the   number   of precipitation rapid 0,06869 (p=0,087) and the poverty level -0,2213 (p=0,038) and urbanism region in the towns and villages 28,75 (p=0,010) toward the incidence of dengue in Lampung from the year 2003 to 2014.  Based on the reseacrh result that the goverment should be able to increase the percentage of forest area cause able to decrease the incidence DHF. Keyword: forest conversion, incidence DHF, land use changes


2017 ◽  
Vol 63 (No. 6) ◽  
pp. 245-253 ◽  
Author(s):  
Khaleghi Mohammad Reza

In recent decades, due to rapid human population increases and in its results, destructive effects of anthropogenic activities on natural resources have become a great challenge. Land use and vegetation are important factors in soil erosion and runoff generation. This study was performed to assess the effects of different amounts of forest cover on the control of runoff and soil loss in the Talar basin, which is located in Mazandaran province, using a runoffrainfall model, geographical information system (GIS) and remote sensing (RS) to determine the hydrologic effects of deforestation on the Talar watershed (north of Iran). A runoff-rainfall model has been presented using GIS (HECGeoHMS) and hydrologic model (HEC-HMS). Land use changes (deforestation) and anthropogenic activities (roads and impervious surfaces development) were evaluated using RS techniques and satellite images. We used the Soil Conservation Service and Curve Number methods for hydrograph simulation and runoff estimation, respectively. First, a model was performed and optimized. Afterward, the optimized model was evaluated by other six events of floods (model validation). According to the obtained results, the runoff generation potential has been increased in the Talar watershed due to deforestation during the last forty years. Land use changes cause an increase in runoff volume and flood peak discharge.


2018 ◽  
Vol 10 (10) ◽  
pp. 3417 ◽  
Author(s):  
Bertrand Nero ◽  
Nana Kwapong ◽  
Raymond Jatta ◽  
Oluwole Fatunbi

Urban and peri-urban forestry has emerged as a complementary measure to contribute towards eliminating urban hunger and improved nutritional security. However, there is scanty knowledge about the composition, diversity, and socioeconomic contributions of urban food trees in African cities. This paper examines the diversity and composition of the urban forest and food trees of Accra and sheds light on perceptions of urbanites regarding food tree cultivation and availability in the city. Using a mixed methods approach, 105 respondents in six neighborhoods of Accra were interviewed while over 200 plots (100-m2 each) were surveyed across five land use types. Twenty-two out of the 70 woody species in Accra have edible parts (leaves, fruits, flowers, etc.). The food-tree abundance in the city is about half of the total number of trees enumerated. The species richness and abundance of the food trees and all trees in the city were significantly different among land use types (p < 0.0001) and neighborhood types (p < 0.0001). The diversity of food-bearing tree species was much higher in the poorer neighborhoods than in the wealthier neighborhoods. Respondents in wealthier neighborhoods indicated that tree and food-tree cover of the city was generally low and showed greater interest in cultivating food (fruit) trees and expanding urban forest cover than poorer neighborhoods. These findings demonstrate the need for urban food policy reforms that integrate urban-grown tree foods in the urban food system/culture.


2020 ◽  
Author(s):  
Patricia Kaye Tahura Dumandan

Understanding the mechanisms driving biodiversity patterns amidst an era of global environmental change is the core of modern ecological research. The magnitude of biodiversity losses associated with anthropogenic activities has prompted resource managers and ecologists alike to identify strategies to address conservation issues. Broadly, two types of approaches are employed to answer ecological research questions: 1) single-species and 2) ecosystem-based approach. Single-species approaches are often useful to elucidate mechanisms driving population trajectories of individual species. On the other hand, ecosystem-based approaches can help in identifying general patterns that may be useful for multi-species management. Here, I used both approaches in assessing broad-scale patterns and mechanisms driving count trends of migrating raptors recorded at Hawk Mountain Sanctuary (HMS), Pennsylvania. In the first chapter, I used a hierarchical breakpoint model to identify the assemblage-wide and species-specific timing of the shifts in count trends. Then I evaluated if changes in trend directionality of counts were linked to species’ traits (body size, population size, migratory behavior, tolerance to human presence, DDT (dichlorodiphenyltrichlorethane) susceptibility, habitat or dietary specialization). I found that an assemblage-wide shift in counts occurred around 1974, and this timing was common among 14 of the 16 species in the assemblage. Moreover, I found that habitat specialization appeared to explain the synchronous positive and negative count trends of multiple species. Other traits that I evaluated were not consistently associated with either types of trends. The temporal shift in trends in 1974 emphasized the relative importance of DDT, an organochlorine known to have adversely influenced several wildlife species and was banned in the US around the 1970s, in driving population dynamics of raptor species. However, because the counts of species susceptible to DDT were highly variable after 1974, this may suggest that a suite of additional factors, acting together, affected the recovery of species from DDT-associated declines. Additionally, the potential role of habitat specialization in count trends may suggest important linkages between habitat use and demography. In the second chapter, I used a generalized linear mixed-effects model to assess the relationships between changes in the count totals and total proportional cover of major land-use types in nine states located in the northeastern US (Connecticut, Maine, Massachusetts, New Hampshire, New Jersey, New York, Pennsylvania, Rhode Island, Vermont). The hierarchical modelling approach that I used allowed me to identify average and species-specific responses to the proportional cover of forested and urban area. These land-use variables were not associated with overall raptor counts. However, species-specific responses were variable and significant. I found that counts of Northern Goshawk, American Kestrel, Rough-legged Hawk, Sharp-shinned Hawk, and Red-tailed Hawk were positively associated with forest cover. On the other hand, Turkey and Black Vultures, Bald Eagle, and Peregrine Falcon were positively associated with urban cover. Moreover, Red-shouldered Hawk, Broad-winged Hawk, and Northern Harrier were not significantly associated with forest cover but were negatively associated with urban cover. Merlin and Cooper’s Hawk exhibited similar non-significant associations to forest but positive associations with urban cover. Finally, Golden Eagle and Osprey were not significantly associated with either land-use variables. These results provided insights on the potential influence of land-use changes on the demography of migrating raptors. Thus, these findings may be useful in improving our predictions of the population trajectories of these species in future landscape scenarios. These results illustrate the utility of evaluating species-level and assemblage-wide patterns in long-term count data. In this case, it allowed me to identify general patterns in counts of migrating raptors and gain detailed insights on the responses of individual species to land-use changes. In doing so, I was able to better understand the potential drivers of their ecological dynamics. By integrating information from these two approaches, we can expect to obtain a better understanding of natural systems and consequently, increase the probability of successful conservation outcomes.


2014 ◽  
Vol 42 (2) ◽  
pp. 127-138 ◽  
Author(s):  
ERIN C. RIORDAN ◽  
THOMAS W. GILLESPIE ◽  
LINCOLN PITCHER ◽  
STEPHANIE S. PINCETL ◽  
G. DARREL JENERETTE ◽  
...  

SUMMARYClimate and land-use changes are expected to drive high rates of environmental change and biodiversity loss in Mediterranean ecosystems this century. This paper compares the relative future impacts of land use and climate change on two vulnerable tree species native to Southern California (Juglans californica and Quercus engelmannii) using species distribution models. Under the Intergovernmental Panel for Climate Change's A1B future scenario, high levels of both projected land use and climate change could drive considerable habitat losses on these two already heavily-impacted tree species. Under scenarios of no dispersal, projected climate change poses a greater habitat loss threat relative to projected land use for both species. Assuming unlimited dispersal, climate-driven habitat gains could offset some of the losses due to both drivers, especially in J. californica which could experience net habitat gains under combined impacts of both climate change and land use. Quercus engelmannii, in contrast, could experience net habitat losses under combined impacts, even under best-case unlimited dispersal scenarios. Similarly, projected losses and gains in protected habitat are highly sensitive to dispersal scenario, with anywhere from > 60% loss in protected habitat (no dispersal) to > 170% gain in protected habitat (unlimited dispersal). The findings underscore the importance of dispersal in moderating future habitat loss for vulnerable species.


2016 ◽  
Vol 4 (3) ◽  
pp. 1 ◽  
Author(s):  
Lirih Wigaty ◽  
Samsul Bakri ◽  
Trio Santoso ◽  
Dyah Wulan S. R. Wardani

Ecological disruption as a result of changes in the area of forest cover to other land uses can affect the microclimate and impact toward malaria morbidity.   Malaria is an infectious disease caused by protozoa a genus of Plasmodium that transmitted by female Anopheles sp. mosquito vectors.  The environmental factors that play a role in the risk to transmission of malaria related to vector breeding places.   The purpose of this research is establish the impact of land use changes toward malaria morbidity. This study was conducted from March to September 2015.   Dynamics of land use changes in regency/city be identified through interpretation of landsat imagery in 2002, 2009, and 2014 with supervised classification and resulted in percentage of land use, the influence of impact toward malaria morbidity processed using multiple linear regression models.  Parameter optimization using statistic software.   The result showed that the impact of positive variable that significant toward malaria morbidity are mangrove forest and total population, while impact of negative variable that significant are extensive swamp and health personnel.   Variable which not impact that significant toward malaria morbidity are forests, community forests, undeveloped land, dry land, other land uses, population density, precipitation, unhealthyhousing, urban, and physiographic. Keywords : land use, malaria morbidity


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