A theory for ecological survey methods to map individual distributions
A theory for ecological survey methods to map individual distributions
复制标题
绘制个体分布图的生态调查方法理论
DOI：
10.1007/s12080-017-0359-7
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发表时间：
2017
影响因子：
1.6
通讯作者：
H. Possingham
中科院分区：
文献类型：
--
作者：
N. Takashina;M. Beger;Buntarou Kusumoto;S. Rathnayake;H. Possingham
空间明确的方法被广泛推荐用于生态系统管理。数据的质量，如存在/不存在或生境图，影响到建议的管理行动，因此是管理成功的关键。然而，现有的数据往往是有偏见和不完整的。以前的研究有先进的方法来解决数据偏差和缺失数据，但问题仍然是我们如何设计生态调查，通过实地调查开发数据集。生态调查可能有多个空间尺度，包括目标生态系统的空间范围（观察窗口）、绘制个别分布图的分辨率（绘制单位）以及每个绘制单位内的调查区域（采样单位）。我们开发了一种生态调查方法，通过应用空间显式随机模型来绘制个体分布。我们使用空间点过程来描述使用随机或聚类过程的个人空间布局。然后，我们设计了不同的空间尺度和个人的可检测性的生态调查。我们发现，映射单元的选择影响存在映射的分数，和存在映射的补丁覆盖的总个体的分数。这些数量和地图分辨率之间的权衡，发现在足够小和足够大的映射单位尺度的两个指标与等效的渐近行为。我们的方法使调查中的多个空间尺度的影响的考虑，并估计的调查结果，如存在映射的分数和位于存在检测到的单位的个人的数量。所发展的理论可以促进管理决策，并为监测和数据收集的设计提供信息。
Spatially explicit approaches are widely recommended for ecosystem management. The quality of the data, such as presence/absence or habitat maps, affects the management actions recommended and is, therefore, key to management success. However, available data are often biased and incomplete. Previous studies have advanced ways to resolve data bias and missing data, but questions remain about how we design ecological surveys to develop a dataset through field surveys. Ecological surveys may have multiple spatial scales, including the spatial extent of the target ecosystem (observation window), the resolution for mapping individual distributions (mapping unit), and the survey area within each mapping unit (sampling unit). We developed an ecological survey method for mapping individual distributions by applying spatially explicit stochastic models. We used spatial point processes to describe individual spatial placements using either random or clustering processes. We then designed ecological surveys with different spatial scales and individual detectability. We found that the choice of mapping unit affected the presence mapped fraction, and the fraction of the total individuals covered by the presence mapped patches. Tradeoffs were found between these quantities and the map resolution, associated with equivalent asymptotic behaviors for both metrics at sufficiently small and large mapping unit scales. Our approach enabled consideration of the effect of multiple spatial scales in surveys, and estimation of the survey outcomes such as the presence mapped fraction and the number of individuals situated in the presence detected units. The developed theory may facilitate management decision-making and inform the design of monitoring and data gathering.
影响因子：
3.8
作者：
Takehisa Yamakita;Hiroyuki Yamamoto;M. Nakaoka;H. Yamano;K. Fujikura;K. Hidaka;Y. Hirota;T. Ichikawa;S. Kakehi;Takahiko Kameda;S. Kitajima;K. Kogure;T. Komatsu;N. Kumagai;H. Miyamoto;K. Miyashita;H. Morimoto;R. Nakajima;S. Nishida;Kou Nishiuchi;S. Sakamoto;Masayoshi Sano;K. Sudo;H. Sugisaki;K. Tadokoro;Katsuhiko Tanaka;Yoshie Jintsu-Uchifune;Kentaro Watanabe;H. Watanabe;Yumiko Yara;N. Yotsukura;Y. Shirayama
通讯作者：
Takehisa Yamakita;Hiroyuki Yamamoto;M. Nakaoka;H. Yamano;K. Fujikura;K. Hidaka;Y. Hirota;T. Ichikawa;S. Kakehi;Takahiko Kameda;S. Kitajima;K. Kogure;T. Komatsu;N. Kumagai;H. Miyamoto;K. Miyashita;H. Morimoto;R. Nakajima;S. Nishida;Kou Nishiuchi;S. Sakamoto;Masayoshi Sano;K. Sudo;H. Sugisaki;K. Tadokoro;Katsuhiko Tanaka;Yoshie Jintsu-Uchifune;Kentaro Watanabe;H. Watanabe;Yumiko Yara;N. Yotsukura;Y. Shirayama