Keragaman topografi (D) adalah variabel pengganti yang merepresentasikan
variasi kondisi suhu dan kelembapan yang tersedia bagi spesies sebagai habitat
lokal. Hal ini menunjukkan logika bahwa berbagai macam ceruk topo-iklim yang lebih tinggi akan mendukung keanekaragaman yang lebih tinggi (terutama tumbuhan) dan mendukung kelangsungan hidup spesies mengingat perubahan iklim.
Untuk menghitung D, Indeks Posisi Topografi multi-skala (mTPI), yang menjadi
kontrol dominan kelembapan tanah (T), digunakan untuk mengukur posisi
lereng bukit. mTPI digabungkan dengan transformasi akar kuadrat untuk
mTPI>0 (T') dan dengan simpangan baku Indeks Beban Insolasi Panas Berkelanjutan (CHILI), yang dihitung pada beberapa skala (C') sebagai:
D = 1 - ((1-T') * (1-C'). Data ini didasarkan pada band "AVE" 30 m dari DEM ALOS JAXA (tersedia di EE sebagai JAXA/ALOS/AW3D30_V1_1).
Kumpulan Data Geomorphology (ERGo) yang Relevan secara Ekologis, Bentuk Lahan, dan Fisiografi dari Conservation Science Partners (CSP) berisi data multi-skala yang mendetail tentang bentuk lahan dan pola fisiografi (alias aspek lahan). Meskipun ada banyak potensi penggunaan data ini, tujuan awal data ini adalah untuk mengembangkan klasifikasi dan peta bentuk lahan dan kelas fisiografi yang relevan secara ekologis yang sesuai untuk perencanaan adaptasi iklim. Karena ada ketidakpastian besar yang terkait dengan kondisi iklim di masa mendatang dan bahkan lebih banyak ketidakpastian seputar respons ekologis, memberikan informasi tentang apa yang tidak mungkin berubah akan memberikan dasar yang kuat bagi pengelola untuk menyusun rencana adaptasi iklim yang kuat. Kuantifikasi fitur lanskap ini sensitif terhadap resolusi, jadi kami memberikan resolusi tertinggi yang mungkin mengingat cakupan dan karakteristik indeks tertentu.
Theobald, D. M., Harrison-Atlas, D., Monahan, W. B., & Albano, C. M.
(2015). Peta bentuk lahan dan keanekaragaman fisiografi yang relevan secara ekologis untuk perencanaan adaptasi iklim. PloS one, 10(12),
e0143619
Keragaman topografi (D) adalah variabel pengganti yang merepresentasikan variasi kondisi suhu dan kelembapan yang tersedia bagi spesies sebagai habitat lokal. Hal ini menunjukkan logika bahwa berbagai macam ceruk topo-iklim yang lebih tinggi akan mendukung keanekaragaman yang lebih tinggi (terutama tumbuhan) dan mendukung kelangsungan hidup spesies mengingat perubahan iklim. Untuk menghitung D, …
[null,null,[],[[["\u003cp\u003eThe dataset provides a global, ALOS-derived topographic diversity index at a 270-meter resolution, representing the variety of temperature and moisture conditions available to species.\u003c/p\u003e\n"],["\u003cp\u003eTopographic diversity is calculated using a combination of multi-scale Topographic Position Index (mTPI) and Continuous Heat-Insolation Load Index (CHILI) to represent the variety of topo-climate niches.\u003c/p\u003e\n"],["\u003cp\u003eThis dataset, developed by Conservation Science Partners, was created for climate adaptation planning and ecological relevance with landforms and physiographic patterns.\u003c/p\u003e\n"],["\u003cp\u003eThe data is based on the 30m "AVE" band of JAXA's ALOS DEM and is available under the CC-BY-NC-SA-4.0 license.\u003c/p\u003e\n"],["\u003cp\u003eThe dataset covers the period from January 24, 2006, to May 13, 2011.\u003c/p\u003e\n"]]],["The dataset, provided by Conservation Science Partners, contains global topographic diversity data from 2006 to 2011. It uses a calculation (D) based on multi-scale Topographic Position Index (mTPI) and the Continuous Heat-Insolation Load Index (CHILI) to represent the variety of temperature and moisture conditions for species habitats. The data, derived from JAXA's ALOS DEM, is available in Earth Engine as an image ('constant' band) with a 270-meter pixel size and is intended for climate adaptation planning.\n"],null,["# Global ALOS Topographic Diversity\n\nDataset Availability\n: 2006-01-24T00:00:00Z--2011-05-13T00:00:00Z\n\nDataset Provider\n:\n\n\n [Conservation Science Partners](https://www.csp-inc.org/)\n\nTags\n:\n[aspect](/earth-engine/datasets/tags/aspect) [csp](/earth-engine/datasets/tags/csp) [elevation](/earth-engine/datasets/tags/elevation) [elevation-topography](/earth-engine/datasets/tags/elevation-topography) [ergo](/earth-engine/datasets/tags/ergo) [geophysical](/earth-engine/datasets/tags/geophysical) [global](/earth-engine/datasets/tags/global) [landforms](/earth-engine/datasets/tags/landforms) [slope](/earth-engine/datasets/tags/slope) [topography](/earth-engine/datasets/tags/topography) \n\n#### Description\n\nTopographic diversity (D) is a surrogate variable that represents the\nvariety of temperature and moisture conditions available to species as local\nhabitats. It expresses the logic that a higher variety of topo-climate\nniches should support higher diversity (especially plant) and support\nspecies persistence given climatic change.\n\nTo calculate D, the multi-scale Topographic Position Index (mTPI), being a\ndominant control of soil moisture (T), was used for measuring hillslope\nposition. The mTPI was combined with the square-root transform for\nmTPI\\\u003e0 (T') and with the standard deviation of the Continuous\nHeat-Insolation Load Index (CHILI), calculated at multiple scales (C') as:\nD = 1 - ((1-T') \\* (1-C'). It is based on the 30m \"AVE\" band of JAXA's ALOS\nDEM (available in EE as JAXA/ALOS/AW3D30_V1_1).\n\nThe Conservation Science Partners (CSP) Ecologically Relevant Geomorphology\n(ERGo) Datasets, Landforms and Physiography contain detailed, multi-scale\ndata on landforms and physiographic (aka land facet) patterns. Although\nthere are many potential uses of these data, the original purpose for these\ndata was to develop an ecologically relevant classification and map of\nlandforms and physiographic classes that are suitable for climate adaptation\nplanning. Because there is large uncertainty associated with future climate\nconditions and even more uncertainty around ecological responses, providing\ninformation about what is unlikely to change offers a strong foundation for\nmanagers to build robust climate adaptation plans. The quantification of\nthese features of the landscape is sensitive to the resolution, so we\nprovide the highest resolution possible given the extent and characteristics\nof a given index.\n\n### Bands\n\n\n**Pixel Size**\n\n270 meters\n\n**Bands**\n\n| Name | Min | Max | Pixel Size | Description |\n|------------|-----|-----|------------|------------------------------------|\n| `constant` | 0\\* | 1\\* | meters | ALOS-derived topographic diversity |\n\n\\* estimated min or max value\n\n### Terms of Use\n\n**Terms of Use**\n\n[CC-BY-NC-SA-4.0](https://spdx.org/licenses/CC-BY-NC-SA-4.0.html)\n\n### Citations\n\nCitations:\n\n- Theobald, D. M., Harrison-Atlas, D., Monahan, W. B., \\& Albano, C. M.\n (2015). Ecologically-relevant maps of landforms and physiographic diversity\n for climate adaptation planning. PloS one, 10(12),\n [e0143619](https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0143619)\n\n### Explore with Earth Engine\n\n| **Important:** Earth Engine is a platform for petabyte-scale scientific analysis and visualization of geospatial datasets, both for public benefit and for business and government users. Earth Engine is free to use for research, education, and nonprofit use. To get started, please [register for Earth Engine access.](https://console.cloud.google.com/earth-engine)\n\n### Code Editor (JavaScript)\n\n```javascript\nvar dataset = ee.Image('CSP/ERGo/1_0/Global/ALOS_topoDiversity');\nvar alosTopographicDiversity = dataset.select('constant');\nvar alosTopographicDiversityVis = {\n min: 0.0,\n max: 1.0,\n};\nMap.setCenter(-111.313, 39.724, 6);\nMap.addLayer(\n alosTopographicDiversity, alosTopographicDiversityVis,\n 'ALOS Topographic Diversity');\n```\n[Open in Code Editor](https://code.earthengine.google.com/?scriptPath=Examples:Datasets/CSP/CSP_ERGo_1_0_Global_ALOS_topoDiversity) \n[Global ALOS Topographic Diversity](/earth-engine/datasets/catalog/CSP_ERGo_1_0_Global_ALOS_topoDiversity) \nTopographic diversity (D) is a surrogate variable that represents the variety of temperature and moisture conditions available to species as local habitats. It expresses the logic that a higher variety of topo-climate niches should support higher diversity (especially plant) and support species persistence given climatic change. To calculate D, the ... \nCSP/ERGo/1_0/Global/ALOS_topoDiversity, aspect,csp,elevation,elevation-topography,ergo,geophysical,global,landforms,slope,topography \n2006-01-24T00:00:00Z/2011-05-13T00:00:00Z \n-90 -180 90 180 \nGoogle Earth Engine \nhttps://developers.google.com/earth-engine/datasets\n\n- [](https://doi.org/https://www.csp-inc.org/)\n- [](https://doi.org/https://developers.google.com/earth-engine/datasets/catalog/CSP_ERGo_1_0_Global_ALOS_topoDiversity)"]]
