Penggunaan Sistem Informasi Geografis (SIG) dalam Mengestimasi Daya Dukung Habitat Gajah Sumatera (Elephas maximus sumatranus Temminck) Sebagai Salah Satu Alternatif Solusi Konflik dengan Lahan Pertanian

Human elephant conflict surrounding agriculture and forest became higher a long year. The fenomena cannot be solved until now. We proposed new technigue, Geographic Information System (GIS)  for solving the problem mainly in agriculture area. The aim of this research for estimating habitat carrying capacity of Sumatran elephant habitat (Elephas maximus sumatranus Temminck) using Geographic Information System. Habitat and animal parameter estimated consist of biotic and abiotic factors. The factors analized suitability analysis using software Autocad Map 2000 and Arcview 3.1. this research result showed habitat carrying capacity in secondary forest (wet season :0,89±0,11 s.d 0,96±0,12 elephant/km²; dry:0,55±0,07 s.d 0,59 ± 0,08 elephant/km²) higher than primary forest (wet season: 0,20±0,02 to 0,26±0,05 elephant/km²  dry: 0,09±0,01 s.d 0,11±0,02 ind/km²). Based on suitability analysis estimated elephant carrying capacity in Tessonilo Forest in wet season (689,45±51,67 to 750,05± 109,14 elephants) higher than dry season (397,85 ±48,45 to 434,88±61,51 elephants). Elephant numbers fluctuated seasonally can be used for planting time strategy in agrculture system. The estimation of habitat carrying capacity did not consider habitat use seasonally

Vegetation Structure And Carbon Stock In The Mangrove Community Of Payumb Coast, Merauke Regency, Papua

Mangrove forests in Indonesia play an important role in mitigating climate changes and providing other ecosystem services; however, their extent continues to decline. Information on mangrove community and its carbon stock, especially for Papua, is still limited. This study was conducted to describe vegetation structure and estimate carbon stock in Payumb Coast in Merauke District, Papua. There were three primary mangrove species identified, namely, Avicennia alba, Rhizophora apiculata and Sonneratia alba. Species dominance varied along a gradient of salinity and substrate perpendicular to the shoreline. A. alba is dominant in the closest zone to the shoreline (importance value 205.76%), while R. apiculata is dominant in the farthest zone (importance value 185,35). At the community level, the carbon stock in trees differed significantly between zones (p<0.05), with the highest in the zone dominated by R. apiculata. This study has provided preliminary data on carbon stock estimation at the community level; further studies should be conducted to estimate total carbon stock based on all above- and belowground components. More accurate estimations become important, as it was found that different species could contain significantly different carbon stock; thus producing variation among mangrove communities

Pengetahuan Lingkungan (Catatan Kuliah)

iv, 121 hal. 29,5c

Pengetahuan lingkungan

iv, 121 p. : il.,; 29 cm

Butterfly (Lepidoptera: Rhopalocera) Distribution Along An Altitudinal Gradient On Mount Tangkuban Parahu, West Java, Indonesia

Tati-Subahar, S.S., Amasya, Anzilni F., Choesin, Devi N. (2007): Butterfly (Lepidoptera: Rhopalocera) Distribution Along An Altitudinal Gradient On Mount Tangkuban Parahu, West Java, Indonesia. Raffles Bulletin of Zoology 55 (1): 175-178, DOI: http://doi.org/10.5281/zenodo.533257