KERAGAMAN JENIS BURUNG DI KAWASAN HUTAN DENGAN TUJUAN KHUSUS UNIVERSITAS LAMBUNG MANGKURAT (KHDTK ULM) KALIMANTAN SELATAN

2021 ◽  
Vol 4 (3) ◽  
pp. 416
Author(s):  
Feri Saputra ◽  
Abdi Fithria ◽  
Badaruddin Badaruddin

This study aims to record the diversity of bird species in various land covers, analyze the vegetation types of bird habitat in various land covers, identify branches of branches / branches used as bird perch in each land cover in the KHDTK ULM area (Forest Areas with Special Purpose, Lambung Mangkurat University) Kalimantan South. Sampling is done using the method of exploration (Incidental Sampling) at the observation location and randomly at the starting point of observation. diversity of bird species obtained from various land cover totaling 30 species, 18 families and 361 individuals. The results of the study of bird species present on the entire land cover are Java chili (Dicaeum trochileum), Peking bondol (Lonchura punculata), stone kite (Hirundo tahitica), gray bentet (Lanius scach), honey sriganti (Cinnyris jugularis). Vegetation diversity around secondary forest land cover found 15 types of vegetation, shrub land cover found 12 types of vegetation, garden land cover found 13 types of vegetation, residential land cover found 12 types of vegetation, dry land forest cover found 20 types of vegetation. Branches / twigs are used as perches to adjust to the activities and types of vegetation where the birds perch on / perch, on average all birds will perch in the perched branch / branches with diameters of 1-5 cm.Penelitian ini bertujuan untuk mendata keragaman jenis burung diberbagai tutupan lahan, menganalisis jenis vegetasi habitat burung diberbagai tutupan lahan, mengidentifikasi kelas tengger dahan/ranting yang dijadikan tempat bertengger burung disetiap tutupan lahan di areal KHDTK ULM (Kawasan Hutan Dengan Tujuan Khusus Universitas Lambung Mangkurat) Kalimantan Selatan. Pengambilan sampel dilakukan dengan menggunakan metode penjelajahan (Incidental Sampling) pada lokasi pengamatan dan secara acak pada titik awal pengamatan keragaman jenis burung yang didapat dari berbagai tutupan lahan berjumlah 30 jenis, 18 family dan 361 individu. Hasil penelitian jenis burung yang hadir pada seluruh tutupan lahan adalah cabai jawa (Dicaeum trochileum), bondol peking (Lonchura punculata), layang-layang batu (Hirundo tahitica), bentet kelabu (Lanius scach), madu sriganti (Cinnyris jugularis). Keragaman vegetasi di sekitar tutupan lahan hutan sekunder di temukan 15 jenis vegetasi, tutupan lahan semak belukar ditemukan 12 jenis vegetasi, tutupan lahan kebun ditemukan 13 jenis vegetasi, tutupan lahan pemukiman ditemukan 12 jenis vegetasi, tutupan  hutan lahan kering ditemukan 20 jenis vegetasi. Dahan/ranting yang di jadikan tempat bertengger menyesuaikan dengan aktifitas dan jenis vegetasi tempat berpijak/bertengger burung, rata-rata semua burung akan bertengger pada kelas tengger dahan/ranting dengan diameter 1-5 cm.

2021 ◽  
Vol 9 (2) ◽  
pp. 366
Author(s):  
Fredy Rahmandani ◽  
S. B. Yuwono ◽  
C. Wulandari

The research, which was conducted at the Gapoktan HKm Jaya Lestari at the Bukit Punggur KPH, aimed to find out changes in land cover in the HKm work area in 2000, 2009 and 2017, and to determine the effect of the implementation of the HKm program on the condition of forest cover in these locations. This research data analysis used Geographic Information Systems (GIS). Image data analysis includes analysis of land changes carried out by identifying changes in objects in different images at the study site. The extent of each class was calculated from all image data series (2000, 2009 and 2017), then interpretation through descriptive data analysis. Based on the results of this study, the period 2000-2009 added the largest area of land cover in the Secondary Dry Land Forest (Hs) class (1.34% to 83.56%). The addition occurred due to a decreasing in the area of dryland agriculture cover (Pt) 55.48%, Open land (T) 12.91%, Primary dry land forest (Hp) 6.57%, Settlement (Pm) 4.95%, and shrubs (B) 2.34%. The 2009-2017 period of forest land cover which experienced the biggest change was the secondary dryland forest class (Hs), which experienced a decrease in area (83.56% to 46.08%) then primary dryland forest (HP) 7.06%, compared to inverted with settlement class (Pm) which increased 2.69%, followed by shrubs (B) 24.71%, open land (T) 20.56%, and dry land Agriculture (Pt) 3.54%. This provides an important finding and is based on the results of scientific analysis that the land cover in the form of forest trees in the area of Gapoktan management is reduced after the IUP-HKm is accepted by the community. It can be seen from the amount of additional cover in the form of shrubs, settlements and open land. Based on these conditions it is necessary to make efforts to improve the management system of HKm Gapoktan Lestari Jaya area through an agroforestry program.


2017 ◽  
Vol 62 (3) ◽  
pp. 127
Author(s):  
Firda Hidayati ◽  
Yogi Vidyattama ◽  
Cameron Gordon

Even though government of Indonesia invests billions of rupiah to tackle deforestation, its effectiveness has been questionable. This study analyses changes in rates of forest cover in Indonesia and their association with forestry expenditures (FE) spent by the provincial governments. Based on 2007 to 2010 data, linear multiple regression results indicate that FE is not enough to tackle the negative change in forest land cover that could represent deforestation. Moreover, it was found that FE have negative association with forest land cover and therefore, can be associated to deforestation. This negative association remains when other factors that affect forest land cover such as wood extraction, agriculture outcome, forestry outcome, population growth and population density and initial environmental conditions have been controlled.AbstrakWalaupun pemerintah Indonesia telah menginvestasikan trilyunan rupiah untuk mengurangi deforestasi, akan tetapi efektifitasnya dipertanyakan. Penelitian ini menganalisa tingkat perubahan luasan tutupan hutan di Indonesia and asosiasinya dengan Pengeluaran Sektor Kehutanan (PSK) yang dibelanjakan oleh pemerintah provinsi. Berdasar data tahun 2007 sampai 2010, hasil regresi multiple linier mengindikasikan bahwa PSK tidak cukup untuk mengurangi akibat negatif dalam perubahan hutan dan lahan yang dapat mngakibatkan deforestasi. Lebih lanjut, ditemukan bahwa PSK berhubungan erat pengurangan luasan hutan, yang dapat dikaitkan dengan deforestasi. Asososiasi yang negatif ini tetap terjadi walaupun faktor lain yang memengaruhi tutupan hutan seperti penebangan kayu, hasil pertanian, hasil kehutanan, pertumbuhan populasi dan kepadatan populasi dan kondisi awal lingkungan telah dikontrol.Kata kunci: Deforestasi, Hutan Tropis; Populasi Penduduk; Tutupan Hutan; Pengeluaran untuk Reboisasi HutanJEL classifications: E62; Q58; H76


2019 ◽  
Vol 14 (1) ◽  
pp. 27-34
Author(s):  
Dian Nuraini Melati

Land use land cover change and forestry play an important role in the global environmental change. Anthropogenic activities in changing the land have caused earth surface change. This change has a role to increase the change of global greenhouse gases in the atmosphere which also causes the increase greenhouse gases emission. Land cover change and forestry are sectors which cause high carbon emission. Therefore, a study in land cover change and estimation of carbon emission becomes important. This study took place in Jambi Province where deforestation has been in a high pace. In 2009 and 2011, the dominant area is dryland agriculture mixed with bush followed by secondary forest, i.e. 25% and 18.6%, respectively (in 2009); and 37.1% and 18.9%, respectively (in 2011). For the secondary forest, the gain was caused by the conversion of dryland agriculture mixed with bush and shrub into secondary forest. The loss of secondary forest is the highest among other forest cover at around 87,765 Ha due to the conversion into bare land and dryland agriculture mixed with bush. Due to land cover change in Jambi Province, the estimation of nett emission in the period of 2009-2011 is 4.8 Mt CO2-eq/year.


2000 ◽  
Vol 10 (4) ◽  
pp. 351-359 ◽  
Author(s):  
Mark R. Welford

Since the mid-1980s, exhausted pastures in Ecuador have been increasingly abandoned, allowing forest regeneration. At approximately 2,200 m in the Tandayapa valley I surveyed four abandoned pastures to evaluate their use by birds. Each former pasture represented a different age of vegetation maturity. The number of bird species recorded in each successively older abandoned pasture increased but only half the number of species recorded in the undisturbed forest site was recorded in the most mature pasture. However, at least four restricted-range bird species were recorded in a single pasture. As pastures rapidly convert to secondary forest, more bird species and rarer bird species use them, even in highly disturbed areas where surrounding pristine forest constitutes less than 10% of local forest cover. Conservation efforts should then be directed toward them.


2021 ◽  
Vol 1 (1) ◽  
pp. 47-58
Author(s):  
Friska Aprilia Banjarina ◽  
Badaruddin Badaruddin ◽  
Syarifuddin Kadir

The purpose of this study is to analyze the infiltration rate in land units with different types of land cover in the Banyu Irang Sub Watershed in the Maluka Watershed. Analyzing the volume and infiltration capacity of land units with different types of land cover in the Banyu Irang watershed in the Maluka Watershed. The method used in this research is the Horton method. Factors affecting infiltration are soil texture, soil bulk density, total soil porosity, soil organic matter, and soil moisture content. The results of the study show the value of the rate, volume dan capacity of infiltration, where the highest infiltration rate is found in the secondary forest land cover with a value of 145,5 mm/hr on land unit 19 with slope grade between 0-8% and the lowest infiltration rate is found in alang-alang (reeds) land cover with a value of 3,0 mm/hr on land units 32 with slope grade between 15-25%. The highest infiltration capacity and volume occurred in secondary forest land cover with a value of 83,490 mm/hr in land units 19. The lowest infiltration capacity and volume occurs in alang-alang (reeds) land cover with a value of 0,787 mm/hr on land units 1 and 0,846 mm/hr on land units 1.


2018 ◽  
Vol 10 (12) ◽  
pp. 1980 ◽  
Author(s):  
Xavier Haro-Carrión ◽  
Jane Southworth

Understanding forest cover changes is especially important in highly threatened and understudied tropical dry forest landscapes. This research uses Landsat images and a Random Forest classifier (RF) to map old-growth, secondary, and plantation forests and to evaluate changes in their coverage in Ecuador. We used 46 Landsat-derived predictors from the dry and wet seasons to map these forest types and to evaluate the importance of having seasonal variables in classifications. Initial RF models grouped old-growth and secondary forest as a single class because of a lack of secondary forest training data. The model accuracy was improved slightly from 92.8% for the wet season and 94.6% for the dry season to 95% overall by including variables from both seasons. Derived land cover maps indicate that the remaining forest in the landscape occurs mostly along the coastline in a matrix of pastureland, with less than 10% of the landscape covered by plantation forests. To obtain secondary forest training data and evaluate changes in forest cover, we conducted a change analysis between the 1990 and 2015 images. The results indicated that half of the forests present in 1990 were cleared during the 25-year study period and highlighted areas of forest regrowth. We used these areas to extract secondary forest training data and then re-classified the landscape with secondary forest as a class. Classification accuracies decreased with more forest classes, but having data from both seasons resulted in higher accuracy (87.9%) compared to having data from only the wet (85.8%) or dry (82.9%) seasons. The produced cover maps classified the majority of previously identified forest areas as secondary, but these areas likely correspond to forest regrowth and to degraded forests that structurally resemble secondary forests. Among the few areas classified as old-growth forests are known reserves. This research provides evidence of the importance of using bi-seasonal Landsat data to classify forest types and contributes to understanding changes in forest cover of tropical dry forests.


2019 ◽  
Vol 17 (2) ◽  
pp. 333 ◽  
Author(s):  
Andi Gustiani Salim ◽  
I Wayan S Dharmawan ◽  
Budi Hadi Narendra

The decline in water resources and the occurrence of various hydrological disasters in the Citarum watershed indicate the need to restructure the components inside the watershed, especially land cover in the upper watershed area. This study aims to determine the effect of forest land cover on the hydrological parameters of the upstream Citarum watershed through simulations of the SWAT (Soil and Water Assessment Tool) model. The results showed that the forest cover in the Citarum watershed was only 15.96% of the watershed area and only 4.94% was located in the Upper area. The Flow Rate Coefficient of the upstream Citarum watershed is 31.4, the annual average surface flow and annual erosion are 933.03 mm and 517.9 tons/ha respectively. The simulation from several scenarios shows that a decreasing in forest area can increase discharge and surface runoff, whereas an increase in forest area will increase soil infiltration and evapotranspiration. Decreasing forest area by 10% from existing conditions caused 58% of rainwater to become surface runoff. The large number of discrepancies between the existing conditions and the directions in the RTRWP will require a long time and large costs to adjust so that the short-term alternative that can be done is to convert dryland agricultural cover to the forest to reach forest cover of at least 45% of the land area in the upstream area and can optimize the hydrological function of the watershed.


2020 ◽  
Vol 8 (2) ◽  
pp. 153
Author(s):  
Sitti Ramlah ◽  
Yanto Santosa ◽  
Nyoto Santoso

The expansion of the oil palm plantation establishment has been arousing someaccusation regarding the loss of biodiversity especially on bird diversity. Hence, this study was conducted to compare the bird diversity between oil palm plantation and its origin land cover. The study was conducted on May 2018 in 2 oil palm plantation in the West Sulawesi and its origin land cover around the plantation area. The observation was done twice a day, in the morning and afternoon, with 3 repetitions. The data was then analyzed using richness index, Evenness index and also index similarity to identify the similarities of bird species similarity between land covers. The result show that the highest number of bird species was found in theoil palm plantation of the company 1 which also happen for the evenness and richness indices. While, the similarity index showed the value about 0.42-0.46. Overall, the land cover changes also causing a change in the bird species composition.


2021 ◽  
Vol 13 (4) ◽  
pp. 634
Author(s):  
Darren Pouliot ◽  
Niloofar Alavi ◽  
Scott Wilson ◽  
Jason Duffe ◽  
Jon Pasher ◽  
...  

The prairie region of Canada is a dynamically changing landscape in relation to past and present anthropogenic activities and recent climate change. Improving our understanding of the rate, timing, and distribution of landscape change is needed to determine the impact on wildlife populations and biodiversity, ultimately leading to better-informed management regarding requirements for habitat amount and its connectedness. In this research, we assessed the viability of an approach to detect from–to class changes designed to be scalable to the prairie region with the capacity for local refinement. It employed a deep-learning convolutional neural network to model general land covers and examined class memberships to identify land-cover conversions. For this implementation, eight land-cover categories were derived from the Agriculture and Agri-Food Canada Annual Space-Based Crop Inventory. Change was assessed in three study areas that contained different mixes of grassland, pasture, and forest cover. Results showed that the deep-learning method produced the highest accuracy across all classes relative to an implementation of random forest that included some first-order texture measures. Overall accuracy was 4% greater with the deep-learning classifier and class accuracies were more balanced. Evaluation of change accuracy suggested good performance for many conversions such as grassland to crop, forest to crop, water to dryland covers, and most bare/developed-related changes. Changes involving pasture with grassland or cropland were more difficult to detect due to spectral confusion among classes. Similarly, conversion to forests in some cases was poorly detected due to gradual and subtle change characteristics combined with confusion between forest, shrub, and croplands. The proposed framework involved several processing steps that can be explored to enhance the thematic content and accuracy for large regional implementation. Evaluation for understanding connectivity in natural land covers and related declines in species at risk is planned for future research.


2021 ◽  
Vol 3 ◽  
Author(s):  
Edurne Estévez ◽  
Jose M. Álvarez-Martínez ◽  
Thorsten Dittmar ◽  
José Barquín ◽  
Gabriel Singer

Dissolved organic matter (DOM) represents the largest pool of organic carbon in fluvial ecosystems. The majority of DOM in rivers is of terrigenous origin—making DOM composition highly dependent on vegetation cover and soil properties. While deforestation is still a worldwide anthropogenic phenomenon, current land cover change in temperate regions is often characterized by secondary succession processes following the abandonment of agricultural activities including grazing on pasturelands. This results in (secondary) forest expansion with a consequent, time-lagged transformation of soil properties. Predicting the time scale and spatial scale (i.e., location in the catchment: riparian vs. upslope areas) at which such land cover changes affect the terrestrial-aquatic carbon linkage and concomitantly alter properties of fluvial DOM as drivers of carbon cycling in freshwater ecosystems represents a new scientific challenge. In an attempt to identify potential legacy effects of land cover, i.e., reaction delays of fluvial DOM to changes in land cover, we here investigate the influence of specific current and historic (2 decade-old) land cover types on molecularly resolved fluvial DOM composition in headwater mountain streams. Our analysis is based on a scale-sensitive approach weighing in the distance of land cover (changes) to the stream and ultrahigh-resolution mass spectrometric analyses. Results identified the dominance of terrigenous DOM, with phenolic and polyphenolic sum formulae commonly associated to lignins and tannins, in all the studied streams. DOM properties mostly reflected present-day gradients of forest cover in the riparian area. In more forested catchments, DOM had on average higher molecular weight and a greater abundance of O-rich phenols and polyphenols but less aliphatics. Besides the modulation of the DOM source, our results also point to an important influence of photodegradation associated to variation in light exposition with riparian land cover in defining fluvial DOM properties. Despite expectations, we were unable to detect an effect of historic land cover on present-day DOM composition, at least at the investigated baseflow conditions, probably because of an overriding effect of current riparian vegetation.


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