scholarly journals Land cover and Proboscis monkey habitats in Berau Delta, East Kalimantan

2021 ◽  
Vol 739 (1) ◽  
pp. 012062
Author(s):  
T Atmoko ◽  
A Mardiastuti ◽  
M Bismark ◽  
L B Prasetyo ◽  
E Iskandar
2019 ◽  
Vol 103 ◽  
pp. 563-575 ◽  
Author(s):  
Judith A. Verstegen ◽  
Carina van der Laan ◽  
Stefan C. Dekker ◽  
André P.C. Faaij ◽  
Maria J. Santos

Land ◽  
2018 ◽  
Vol 7 (3) ◽  
pp. 108 ◽  
Author(s):  
Carina van der Laan ◽  
Arif Budiman ◽  
Judith Verstegen ◽  
Stefan Dekker ◽  
Wiwin Effendy ◽  
...  

In Indonesia, land cover change for agriculture and mining is threatening tropical forests, biodiversity and ecosystem services. However, land cover change is highly dynamic and complex and varies over time and space. In this study, we combined Landsat-based land cover (change) mapping, pixel-to-pixel cross tabulations and expert knowledge to analyze land cover change and forest loss in the West Kutai and Mahakam Ulu districts in East Kalimantan from 1990–2009. We found that about one-third of the study area changed in 1990–2009 and that the different types of land cover changes in the study area increased and involved more diverse and characteristic trajectories in 2000–2009, compared to 1990–2000. Degradation to more open forest types was dominant, and forest was mostly lost due to trajectories that involved deforestation to grasslands and shrubs (~17%), and to a lesser extent due to trajectories from forest to mining and agriculture (11%). Trajectories from forest to small-scale mixed cropland and smallholder rubber occurred more frequently than trajectories to large-scale oil palm or pulpwood plantations; however, the latter increased over time. About 11% of total land cover change involved multiple-step trajectories and thus “intermediate” land cover types. The combined trajectory analysis in this paper thus contributes to a more comprehensive analysis of land cover change and the drivers of forest loss, which is essential to improve future land cover projections and to support spatial planning.


AGRIFOR ◽  
2018 ◽  
Vol 17 (1) ◽  
pp. 1
Author(s):  
Agus Sofyan

Remote sensing can be done visually and digitally. one of the advantages of airborne photography data generated by drone (phantom-3) compared to satellite imagery with optical sensitivity is its ability to obtain cloud-free images and freedom of recording time and the displayed area shows clearly defined objects corresponding to land cover. characteristics. To limit the object-based area of this research method applied is Object Based Image Analysis (OBIA).This study aims to classify land cover using highly resolved aerial photography with the help of Object Based Image Analysis (OBIA) technique and calculate the accuracy and accuracy, land cover classification by using Objeck Based Image (OBIA) analysis through examination of field conditions.classifying land cover, the classification includes shrubs, young shrubs, plantations (oil palms), shrubs, mines, open land, roads and water bodies with Accuracy of Overcome 0.86.


2021 ◽  
Vol 22 (6) ◽  
Author(s):  
Mursidah MURSIDAH ◽  
Abubakar M. Lahjie ◽  
MASJAYA MASJAYA ◽  
YAYA RAYADIN ◽  
YOSEP RUSLIM ◽  
...  

Abstract. Mursidah, Lahjie AM, Masjaya, Rayadin Y, Ruslim Y, Judinnur MB, Andy. 2021. The dietary, productivity, and economic value of swiftlet (Aerodramus fuciphagus) farming in East Kalimantan, Indonesia. Biodiversitas 22: 2528-2537. Edible-nest swiftlets have many health benefits. The availability of edible-nest swiftlets from caves is decreasing, while the demand for edible-nest swiftlets is getting higher. Swiftlet farming is carried out to meet this demand. The location of swiftlet farming should be close to the feeding sources. Swiftlet is flying insectivorous animals. A financial feasibility assessment is carried out to determine the feasibility of the business. This study aims to determine the composition of land cover, determine the insect order of feed sources, and analyze the production and financial feasibility of swiftlet farming. The study was carried out from June to December 2019. The composition of land cover was determined using the supervised classification method, the order of insects was known using the insect determination key, while production and financial feasibility were analyzed using the Net B/C, NPV, IRR, and PP methods. The observed location and swiftlet farming were determined purposefully. The results of this study show that the land cover was dominated by shrubs (56.58%) and secondary forest (27.3%); both types of land cover are suitable for swiftlet farming locations. The dominant insects found in shrubs and wetland shrubs are Diptera (78.25%), in rice fields are Diptera (86.7%) and in oil palm plantations are Diptera (29.4%) and Hymenoptera (27.78%). Edible-nest swiftlets harvest begins in the third year, with a production period of between 17-34 years. From the financial feasibility, it can be concluded that swiftlet farming is feasible.


2021 ◽  
Vol 33 ◽  
pp. 01004
Author(s):  
Atmoko Tri ◽  
Mukhlisi

Suwi River, which is a part of Kenohan-Suwi Wetland in East Kutai District, East Kalimantan is a habitat of endangered animals such as proboscis monkey (Nasalis larvatus). Therefore, this study aims to determine the habitat, distribution, threats, and conservation efforts of proboscis monkeys in the Suwi River. To achieve this, the boat survey method was adopted, while plot line samples were used for vegetation analysis. The results showed that the habitat is composed of riverine plant species, such as prupuk (Mallotus sumatranus; IV=121.84%), bungur (Lagerstroemia speciosa; IV=37.10%), and rengas (Gluta renghas; IV=34.76%). Furthermore, a minimum of 12 monkey groups was distributed in this area, however, their population is unknown. Illegal hunting by local people has caused population decline, this is in addition to other threats, such as habitat conversion, forest fire, and invasive plant species. The effort to protect the habitat of proboscis monkeys was made by developing Essential Ecosystem Areas Suwi-Mesangat. Other institutions that committed to protecting this area include Federal and local government, NGO, local community, and palm oil company


2016 ◽  
Vol 6 (1) ◽  
pp. 12-25
Author(s):  
SUWARTO SUWARTO ◽  
LILIK BUDI PRASETYO ◽  
AGUS PRIYONO KARTONO

Suwarto, Prasetyo LB, Kartono AP. 2016. Habitat suitability for Proboscis Monkey (Nasalis larvatus Wurmb, 1781) in the mangrove forest of Kutai National Park, East Kalimantan. Bonorowo Wetlands 6: 12-25. This study aims to identify the factors determining that influence the suitability proboscis monkey (Nasalis larvatus Wurmb, 1781) in the mangrove habitat Kutai National Park through spatial modeling. Habitat suitability was analyzed using Principal Component Analysis (PCA) and linear regression were integrated with geographical information systems. Principal Component Analysis is a technique to construct new variables that are linear combinations of the original variables by reducing the variables used. The presence of groups of proboscis monkey marked with GPS. Satellite images from Landsat 8 path 116 row 60 processed digitally to generate proboscis vegetation distribution and Normalization Difference Vegetation Index, Variable distance from roads, distance from settlements, the distance from the fishpond, and the distance from the source of water is obtained from the analysis euclidean distance of Indonesia Earth Appearance map. Spatial modeling using the coordinates of the encounter group proboscis as the dependent variable and the predictor variables used in the regression model is the distance from the road, the distance from the settlement, the distance from the pond, the distance from the source of water, the distance of Avicennia, distance from Bruguiera, distance from Rhizophora, distance from Sonneratia, and LAI (Leaf Area Index). The overall area of the study area was used to build the model is 7 343.88 hectares. The results habitat suitability modeling proboscis monkey in the mangroves of TNK showed that only 99.50 hectares or 1.35% have high compatibility, the suitability being has a total area of 384.58 hectares or 18.85%, whereas an area of 5 859.81 hectares or 79.79% low suitability. The results of models have explained that the distribution of the proboscis monkey habitat suitability is influenced by factors of disturbance.


Land ◽  
2020 ◽  
Vol 9 (7) ◽  
pp. 213
Author(s):  
Arya Hadi Dharmawan ◽  
Dyah Ita Mardiyaningsih ◽  
Heru Komarudin ◽  
Jaboury Ghazoul ◽  
Pablo Pacheco ◽  
...  

The fast-growing palm oil economy has stimulated a significant expansion of oil palm plantations in Indonesia. The uncontrolled development of large oil palm plantations has raised complex socio-ecological issues, including changes of ecological landscapes, organization of production, and farming household livelihood systems. For two oil palm villages with different ecological settings, this article describes changes in land cover, how production is organized, and the income structure changes due to rural economic development. The research used survey approaches and analysis of earth maps, assisted by data obtained from satellite imagery. A qualitative approach was also used to support a survey via in-depth interviews. The research was carried out in two oil palm economy-based villages of Kutai Kartanegara District, of the Province of East Kalimantan of Indonesia. The first village is located very close to the center of regional administration and has evolved into a non-farming economy. In contrast, the other village is more isolated and solely relies on farming activities. The study found that changes of land cover caused by oil palm expansion could be categorized into two types, concentrated and spotted, following the influence of oil palm investment activities. It was also found that organization of the production of most smallholders existed in two types of arrangements, partial and total integration of production. From the perspective of livelihood, two different types of income structures emerged, diversified and uniform. This article concludes that responses of smallholders to palm oil spread varied depending on the ecological setting, the existence of the already established plantation economy in the region, the capacity of the smallholders to diversify economic activities based on palm oil, and the exposure to external economic activities.


2021 ◽  
Vol 893 (1) ◽  
pp. 012033
Author(s):  
R A F Denryanto ◽  
R H Virgianto

Abstract North Penajam Paser Regency and Kutai Kartanegara Regency which are located in East Kalimantan Province are two locations that are planned as the New Capital of Indonesia (IKN). This has become one of the factors changing land cover from vegetation land to urban land, so that it can contribute to temperature changes. In this work, we analyze impacts of land use change on temperature in the new capital city. The change will simulate land cover changes using the Weather Research and Forecasting (WRF) model with two scenarios of land cover change from vegetation land to 547 % and 1,222 % urban land. Scenarios I and II will increase the temperature to 1.17 and 1.77 °C, respectively. This could means that the addition of more urban areas results in an increase in temperature. The quantitative values of this connection will be beneficial for urban planners to manage the development of new capitals without having a significant impact on climate change.


2020 ◽  
Vol 21 (11) ◽  
Author(s):  
Tri Atmoko ◽  
Ani Mardiastuti ◽  
Muhammad Bismark ◽  
Lilik Budi Prasetyo ◽  
Entang Iskandar

The proboscis monkey (Nasalis larvatus) is an endemic species to Borneos’ island and is largely confined to mangrove, riverine, and swamp forest. Most of their habitat is outside the conservation due to degraded and habitat converted. Habitat loss is a significant threat to a decreased in the monkey's population. Berau Delta is an unprotected habitat of proboscis monkey, lacking in attention and experiencing a lot of disturbances. This study was conducted on April – August 2019; with aims of the study is to determine Species Distribution Modeling (SDM) for identifying proboscis monkey habitat suitability in Delta Berau, East Kalimantan. The MaxEnt algorithm was used to produce a habitat suitability map based on this species’ occurrence records and environmental predictors. We built the models using 208 points of proboscis monkey presence and 12 environment variables within the study area. Model performance was assessed by examining the area under the curve. The variables most influencing the habitat suitability model were the riverine habitat (60.9%), distance from the pond (16.0%), and distance from the coastline (5.2%). The proboscis monkey suitable habitat is only 9.32% (8,726.58 ha) from 93,631.41 ha total area. The appropriate habitat areas are Sapinang Island, Bungkung Island, Sambuayan Island, Saodang Kecil Island, Besing Island, Lati River, Bebanir Lama, Batu-Batu, and Semanting Bay. We provide some suggestions for the proboscis monkey conservation, which are local protection of uninhabited islands, participatory ecotourism management, and company involvement in protection and management efforts.


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