Evaluating the rehabilitation potential of Calliandra (Calliandra calothyrsus Meissn.) in degraded areas through landscape function analysis in Manolo Fortich, Bukidnon, Philippines

Author(s):  
Neil Konrad D. Binayao ◽  
Catherine C. de Luna ◽  
Angela A. Limpiada
2019 ◽  
Vol 108 ◽  
pp. 22-29 ◽  
Author(s):  
Bruno Stefan De Simoni ◽  
Mariangela Garcia Praça Leite

2016 ◽  
Vol 67 (4) ◽  
pp. 409-420 ◽  
Author(s):  
Z. J. Read ◽  
H. P. King ◽  
D. J. Tongway ◽  
S. Ogilvy ◽  
R. S. B. Greene ◽  
...  

2017 ◽  
Vol 39 (3) ◽  
pp. 253 ◽  
Author(s):  
F. Jafari ◽  
R. Jafari ◽  
H. Bashari

Appropriate rangeland management requires rangeland function analysis at broad scales. This study aimed to examine the potential of remotely sensed function indices extracted from Landsat data to evaluate the function of semi-arid rangelands in central Iran at the sub-basin scale. Three replicate 30-m transects were randomly placed in the dominant slope direction of 14 selected sub-basins. Various structural properties of vegetation (e.g. number and size of vegetation patches and interpatch lengths) and soil surface were scored based on the landscape function analysis (LFA) procedure. The obtained structural and function indices of the LFA, as well as field percent vegetation cover, were compared with the perpendicular distance vegetation index and remotely sensed function indices including proximity, lacunarity, leakiness index, and weighted mean patch size (WMPS). Remotely sensed function indices were found to be capable of discriminating rangeland landscapes with different conditions. Results showed that the structural properties of vegetation considered in the LFA could also be obtained through WMPS and proximity indices (R >0.76; P < 0.01). All indices, except for lacunarity, had significant correlations with percent vegetation cover and the strongest correlation was observed between WMPS and proximity. Our findings highlight the usefulness and efficiency of function indices derived from satellite data in the estimation of structural and functional properties of rangeland landscapes at the sub-basin scale.


Author(s):  
Erfina Erfina

Aktivitas penambangan menimbulkan dampak negatif terhadap lingkungan. Ekosistem di sekitar area pertambangan nikel Kecamatan Pomalaa telah mengalami pencemaran berat. Rusaknya komponen ekosistem menyebabkan terjadinya gangguan terhadap fungsi ekosistem. Penelitian ini bertujuan untuk mengevaluasi fungsi ekosistem di lahan pasca penambangan nikel di Kecamatan Pomalaa dengan menggunakan metode EFA (Ecosystem Function Analysis) dikembangkan CSIRO, 2010) yang mencakup tiga pendekatan yaitu LFA (Landscape Function Analisys), Analisis Kompleksitas Habitat. Penelitian ini dilakukan di tiga lokasi yaitu tambang utara, tambang tengah dan tambang selatan. Hasil penelitian menunjukkan bahwa bentang alam dalam kondisi kritis dengan kandungan makronutrien yang sangat rendah di ketiga wilayah penelitian. Hasil pengukuran LFA dari ketiga wilayah masing-masing memiliki stabilitas lahan 38,40 � 1,3% (Tambang Utara), 37,43�1,3% (Tambang Tengah) dan 31,47�0,5% (Tambang Selatan). Indeks infiltrasi air 25,8 �2,3% (T.Utara), 24,63�1,8% (T.Tengah), 24,70�0,5% (Tambang Selatan) dan siklus nutrisi 16,37 � 3% (Tambang Utara), 14,3 � 0,5 (Tambang Tengah), 13,83�0,07 (Tambang Selatan). Ketiga wilayah menunjukkan indeks kompleksitas rendah masing- masing 5 (tambang utara), 4 (tambang tengah), 3 (tambang selatan) menunjukkan habitat dan tempat tinggal untuk fauna lokal di lahan tersebut belum berkembang.Dapat disimpulkan bahwa ekosistem di lokasi Pertambangan Nikel Kec.Pomalaa telah mengalami gangguan fungsi regulasi, habitat dan produksi biomassa ekosistem tidak berjalan dengan baik.


2015 ◽  
Vol 7 (1) ◽  
pp. 58-70
Author(s):  
Krisztina Filepné Kovács ◽  
István Valánszki ◽  
Ágnes Sallay ◽  
Sándor Jombach ◽  
Zsuzsanna Mikházi ◽  
...  

AbstractAn essential condition for the success of rural areas is the harmonious enforcement of ecologic, economic, and other educational, cultural, aesthetic goods/services of landscape, diversity of landscape functions. Landscape function analysis is a useful tool for the complex evaluation of rural regions. Using statistic and spatial data, we explored the landscape resources, potentials, and limitations of two pilot regions. But what about the future? Based on the landscape function analysis, we have defined special types of regions/landscape visions according to the long-term ability to retain population by the comparison of economic, production, and habitat value of the landscape.


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