阿德莱薏苡米的Maxent模拟选址适宜性模型。)在菲律宾的Bukidnon

IF 0.2 Q4 AGRONOMY agriTECH Pub Date : 2022-09-06 DOI:10.22146/agritech.57482
J. Paquit, Jason A. Parlucha, Garry Marapao
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摘要

利用52个物种发生点(SOPs)和14个生物气候变量,建立了阿德莱的基线和预估样地适宜性模型,并评估了气候变化对物种分布的影响。有目的取样适用于收集标准操作程序,而生物气候变量则从可靠的在线来源获得。结果表明:245,980公顷。在省内是适合该品种的基础模型。为了评估气候变化的影响,对一个30年预估适宜性模型进行了模拟,结果显示适宜面积从245,980 ha增加了。至391,872公顷。增加145892公顷。大部分预测的适宜区域位于南部,其中一些城镇的适宜覆盖率几乎达到100%。该模型的准确率达到了92%。生物气候变量中贡献最大的是年降水量,占24.74%。本研究中产生的信息对于有兴趣的部门规划、定位和优先考虑投资项目的领域至关重要。
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Maxent Simulated Site Suitability Model for Adlai (Coix lacryma-jobi. L.) in Bukidnon, Philippines
52 species occurrence points (SOPs) and 14 bioclimatic variables were used to generate baseline and projected site suitability models for Adlai and evaluate the impact of climate change to the distribution of the species. Purposive sampling was adapted to gather SOPs while bioclimatic variables were acquired from a credible online source. Results have shown that 245,980 ha. in the province is suitable for the species based on the model. To assess the impact of climate change, a 30-year projected suitability model was modelled revealing an increase in suitable area from 245,980 ha. to 391,872 ha., an increase of 145,892 ha. Most of the projected suitable areas are found in the southern part where some towns have almost 100% suitability coverage. The model accuracy was excellent at 92%. The bioclimatic variable that had the most important contribution is bio 12 (annual precipitation) which obtained 24.74%. The information generated in this study is key for interested sectors in planning, targeting and prioritizing areas to put in investment programs for Adlai.
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agriTECH
agriTECH AGRONOMY-
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