Spatial Assessment of Landscape Structure Changes and Ecological Connectivity in Pariaman

Rahman, Henzulkifli; Triyatno, Triyatno; Hanif, Muhammad; Indrayani, Poppy

doi:10.46610/jorsgt.2020.v06i02.002

Cited by 5 publications

(3 citation statements)

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“…These developments are attributable to the complex interaction between natural environment and human activities, resulting in the change of the stability of individual elements in the landscape system and the spatial structure of landscape (Xiao et al, 1990). Then, human population grows which has increased built up areas gives impact as landscape fragmentation and decreases larges of habitat (Rahman et al, 2020). Human activities by imposing bariers such as roads, pipelines, buildings, dams and cultivation with industrial agriculture, also may disrupt ecosystem in ways that fall outside the range of space-timer scale.…”

Section: Discussionmentioning

confidence: 99%

Finding the Corridor Potential Between Protected Areas in a Fragmented Landscape, Gunungkidul Regency, Indonesia

Panuntun

Haryono

Santosa

2023

Journal of Landscape Ecology

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Fragmentation impacts disconnecting protected areas in Gunungkidul Regency, namely Bunder Forest Park (BFP) and the Paliyan Wildlife Reserve (PWR). This also decreases the carrying capacity in PWR, degrading the Long-Tailed Macaque (LTM) habitat. Therefore, this research aims to analyze the landscape structure between Protected areas, the habitat suitability of LTM in Gunungkidul Regency, and determine connectivity potential as an environmental management strategy. applied for this research to investigates the structure and fragmentation using Fragstat 4.2 and ArcGIS 10.8 software. Meanwhile, scoring and weighting methods analyze the LTM habitat, while Least Cost Patch Analysis (LCPA) supported by ArcGIS 10.8 determine the corridor. The results showed that the research land cover changed from 1999-2021. Agriculture, scrubs, and settlements are the dominant land cover suspected to cause forest fragmentation. Based on the habitat suitability analysis using parameters such as land cover, vegetation density, slope, altitude, distance from the river, and sources of threats, most of the research area is intermediate habitat suitability class. These findings can be integrated to determine connectivity between protected areas as one of the environment management strategies. Good forest cover can be used to designate a corridor that has the greatest potential to be developed between BFP and PWR and should be maintained as a wildlife crossing.

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Section: Discussionmentioning

confidence: 99%

Finding the Corridor Potential Between Protected Areas in a Fragmented Landscape, Gunungkidul Regency, Indonesia

Panuntun

Haryono

Santosa

2023

Journal of Landscape Ecology

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“…Based on the NDVI value class, it was concluded that the hornbill's chance of existence is in the medium-and thick-density classes. According to Rahman [49], dense vegetation in forested areas is essential for species survival, including Rhinoceros hornbills. Hornbill survival depends on forests dominated by large and tall trees.…”

Section: Biophysical Factorsmentioning

confidence: 99%

The Habitat Suitability Modelling of Rhinoceros Hornbills (Buceros rhinoceros) in Java Island, Indonesia

Setiawan,

Prasetyo,

Mulyani

et al. 2024

JPSL

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Rhinoceros hornbills (Buceros rhinoceros) are a bird species belonging to the Bucerotidae family, which is vulnerable based on the IUCN red list of species. This is due to habitat fragmentation, which reduced the Rhinoceros hornbill habitat on Java. Efforts and strategies are needed to maintain Rhinoceros hornbill habitats. Information on the suitability of the Rhinoceros hornbill habitat on Java Island is required to develop a Rhinoceros hornbill conservation strategy. This study aimed to determine a habitat suitability model that produces the highest accuracy, analyze hornbill habitat suitability, and identify environmental variables that affect the existence of rhinoceros hornbills. Habitat suitability models were processed using three algorithms: random forest, support vector regression, and MaxEnt. The data used to model habitat suitability were presence and environmental variables. The model was evaluated using various accuracy measures, namely overall accuracy, sensitivity (sn), specificity (sp), Area Under Curve (AUC), and kappa coefficient. The resultsof model processing showed that the random forest algorithm produced the highest average accuracy of 0.74. The most important environmental variables for the habitat suitability model were the distance from the road (16.62%), distance from the forest (12.73%), and land cover (12.47%). The habitat suitability model was divided into three classes: low suitability, covering 75,048 km2 (55.94%); medium suitability, covering 52,911 km2 (39.44%); and high suitability, covering 6,213 km2 (4.63%). The results of the habitat suitability model showed that the habitat suitability class was the smallest in the area.

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“…Data dirancang untuk dimodifikasi dan diadaptasi oleh pengguna yang tertarik pada area tematik seperti: perencanaan tata ruang, pemantauan agro-lingkungan, pemantauan hutan dan vegetasi, karbon lahan, pemantauan sumber daya alam, pemantauan tanaman global dan pemantauan air [14][16]. Teknologi sistem informasi geografis yang dikolaborasikan dengan analisis data penginderaan jauh sangat bermanfaat bagi para peneliti dan masyarakat untuk mengamati dan melakukan monitoring lingkungan [17]. Dengan tersedianya data satelit sentinel dengan resolusi yang lebih tinggi dari citra resolusi menengah untuk pengamatan bumi, satelit sentinel dapat digunakan untuk eksplorasi sumber daya air karena didukung oleh sensitivitas spektral untuk objek air.…”

Section: Pendahuluanunclassified

Pemetaan Kedalaman Perairan Danau Maninjau Dengan Algoritma Empirical Bathymetry Method Pada Citra Sentinel 2A

Arifin

Febriandi

Triyatno

2021

JEJ

Self Cite

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Danau Maninjau merupakan danau vulkanik dengan kondisi air berupa air tawar. Penelitian ini bertujuan untuk memetakan kedalaman perairan pada kawasan Danau Maninjau Kabupaten Agam dan menilai pengaruh dari distribusi sampel lapangan pada kualitas hasil transoformasi citra. Data yang digunakan citra satelit Sentinel 2A, titik hasil pengukuran lapangan. Teknik analisis menggunakan algoritma Normalized difference water index, sun glint, Emperical Batimetri Methode dan regresi linear. Hasil dari penelitian ditemukan variasi distribusi kedalam peraian dari proses perekaman kedalaman objek yang direpresentasikan oleh piksel citra, yang mana kedalaman perairan dari hasil transofmrasi ini mengacu pada sampel pengukuran di lapangan. Kedalaman maksimum perairan danau berada pada rentang 107m. Perairan dangkal lebih dominan terdistribusi diwilayah utara perarian yang merupakan outlate dari Danau Maninjau. Sedangkan diwlayah selatan membentuk cekungan dalam. Distribusi sampel ini berupa peta empirical batimetri serta hubungan antara hasil pengukuran lapangan dengan transformasi dengan nilai regresi 0.769, ini menujukan sampel lapangan memberikan pengaruh yang cukup besar pada hasil transofrmasi

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Spatial Assessment of Landscape Structure Changes and Ecological Connectivity in Pariaman

Cited by 5 publications

References 0 publications

Finding the Corridor Potential Between Protected Areas in a Fragmented Landscape, Gunungkidul Regency, Indonesia

Finding the Corridor Potential Between Protected Areas in a Fragmented Landscape, Gunungkidul Regency, Indonesia

The Habitat Suitability Modelling of Rhinoceros Hornbills (Buceros rhinoceros) in Java Island, Indonesia

Pemetaan Kedalaman Perairan Danau Maninjau Dengan Algoritma Empirical Bathymetry Method Pada Citra Sentinel 2A

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