Biodiversity Modelling as Part of an Observation System
Biodiversity Modelling as Part of an Observation System
复制标题
生物多样性建模作为观测系统的一部分
DOI：
--
复制
发表时间：
2017
期刊：
影响因子：
--
通讯作者：
J. Scharlemann
中科院分区：
文献类型：
--
作者：
S. Ferrier;W. Jetz;J. Scharlemann
建模提供了一种有效的手段，可将从实地观测和遥感获得的生物多样性数据的互补优势结合起来。在生物多样性变化观测或监测中使用建模只是建模在生物多样性评估中可以发挥的若干作用之一。这些角色在不同程度上强调了解释性建模与预测性建模，以及单独跨空间建模与跨空间和时间建模，无论是过去到现在还是现在到未来。将建模应用于生物多样性监测的最具挑战性但又至关重要的一项工作是绘制陆地生物多样性分布和保留方面的变化图。与生态系统的许多结构和功能属性不同，生物多样性的物种和遗传层面的大多数生物实体不容易通过遥感探测。因此，在物种一级和社区一级以模型为基础综合实地生物观测和遥感环境数据的方法方面取得的进展，有利于在大的空间范围内估计这些生物多样性水平的变化。
Modelling provides an effective means of integrating the complementary strengths of biodiversity data derived from in situ observation versus remote sensing. The use of modelling in biodiversity change observation, or monitoring, is just one of a number of roles that modelling can play in biodiversity assessment. These roles place different levels of emphasis on explanatory versus predictive modelling, and on modelling across space alone, versus across both space and time, either past-to-present or present-to-future. One of the most challenging, yet vitally important, applications of modelling to biodiversity monitoring involves mapping change in the distribution and retention of terrestrial biodiversity. Unlike many structural and functional attributes of ecosystems, most biological entities at the species and genetic levels of biodiversity cannot be readily detected through remote sensing. Estimating change in these levels of biodiversity across large spatial extents is therefore benefiting from advances in both species-level and community-level approaches to model-based integration of in situ biological observations and remotely sensed environmental data.