社会经济变量提高了物种分布模型的准确性并改变了物种分布模型中的空间预测
Beata Bramorska1, Ewa Komar1, Luca Maugeri1
1Mammal Research Institute, Polish Academy of Sciences, Stoczek 1, 17-230 Białowieża, Poland.
The Science of the total environment
|March 10, 2024
概括
将人类社会经济数据纳入物种分布模型 (SDM) 显著改善了大多数波兰哺乳动物的野生动物发生预测. 这种方法通过揭示人类对生物多样性的影响来增强生态理解和保护工作.
科学领域:
- 生态生态学 生态生态学
- 保护生物学 保护生物学
- 人与野生动物的互动
背景情况:
- 人类造成的压力需要了解人类与野生动物之间的关系,才能有效地保护野生动物.
- 传统上,物种分布模型 (SDM) 专注于环境因素,往往忽视人类的社会经济影响.
研究的目的:
- 评估社会经济变量的实用性,以提高波兰野生哺乳动物的SDM.
- 确定人类社会经济因素对各种哺乳动物群体分布的影响.
主要方法:
- 测试了社会经济变量 (年龄,收入,教育等) 的预测能力. 在SDM中与环境因素一起.
- 分析了波兰各地食肉动物,类动物,动物,类动物和蝙蝠的分布模式.
- 具有和没有社会经济预测因素的模型性能比较.
主要成果:
- 社会经济变量提高了超过60%的物种和大多数哺乳动物群体 (除食肉动物) 的预测准确度.
- 社会经济因素是整体物种分布的首要预测因素之一.
- 包括社会经济数据改变了与仅环境模型相比的空间预测.
结论:
- 社会经济数据是有价值的预测因素,可以提高野生动物发生模型的准确性.
- 建议在SDM中更广泛地采用社会经济数据,以更全面地了解生物多样性.
- 弥合人类的社会经济动态和生态过程对于保护至关重要.
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