TY - JOUR
T1 - A multiscale analysis of herbaceous species richness in a Mediterranean ecosystem
AU - Blank, Lior
AU - Linker, Raphael
AU - Carmel, Yohay
N1 - Funding Information: The authors are grateful to all investigators and contributing pathologists from the TCGA study (more information on http://portal.gdc.cancer.gov ), the Rainbow-TMA consortium in the Netherlands (listed in Supplementary Table 6 ), the DACHS consortium in Germany, the QUASAR consortium, and the YCR-BCIP consortium in the United Kingdom. Collection and testing of the YCR-BCIP cases was funded by Yorkshire Cancer Research L386 and L394 as part of previous studies. Philip Quirke is an NIHR Senior Investigator. We thank the Yorkshire and Humber Histopathologists who facilitated the collection of the YCR BCIP cases. Funding Information: Funding This study was primarily funded by the authors’ academic institutions. These authors are supported by additional grants: Peter Boor: German Research Foundation (SFB/TRR57, SFB/TRR219, BO3755/3-1, and BO3755/6-1), the German Federal Ministry of Education and Research (BMBF: STOP-FSGS-01GM1901A), and the German Federal Ministry of Economic Affairs and Energy (BMWi: EMPAIA project). Alexander T. Pearson: National Institutes of Health / National Institute of Dental and Craniofacial Research (K08-DE026500), Institutional Research Grant (IRG-16-222-56) from the American Cancer Society , Cancer Research Foundation Research Grant, and the University of Chicago Medicine Comprehensive Cancer Center Support Grant (P30-CA14599). Tom Luedde: Horizon 2020 through the European Research Council Consolidator Grant PhaseControl (771083), a Mildred Scheel–Endowed Professorship from the German Cancer Aid (Deutsche Krebshilfe), the German Research Foundation (SFB CRC1382/P01, SFB-TRR57/P06, LU 1360/3-1), the Ernst-Jung-Foundation Hamburg , and the Interdisciplinary Center of Clinical Research) at RWTH Aachen. Jakob Nikolas Kather: RWTH University Aachen (START 2018-691906), Max-Eder-Programme of the German Cancer Aid (Deutsche Krebshilfe, 70113864).
PY - 2013/4
Y1 - 2013/4
N2 - AimsStudies of species distribution patterns traditionally have been conducted at a single scale, often overlooking species-environment relationships operating at finer or coarser scales. Testing diversity-related hypotheses at multiple scales requires a robust sampling design that is nested across scales. Our chief motivation in this study was to quantify the contributions of different predictors of herbaceous species richness at a range of local scales.MethodsHere, we develop a hierarchically nested sampling design that is balanced across scales, in order to study the role of several environmental factors in determining herbaceous species distribution at various scales simultaneously. We focus on the impact of woody vegetation, a relatively unexplored factor, as well as that of soil and topography. Light detection and ranging (LiDAR) imaging enabled precise characterization of the 3D structure of the woody vegetation, while acoustic spectrophotometry allowed a particularly high-resolution mapping of soil CaCO3 and organic matter contents.Important FindingsWe found that woody vegetation was the dominant explanatory variable at all three scales (10, 100 and 1000 m2), accounting for more than 60% of the total explained variance. In addition, we found that the species richness-environment relationship was scale dependent. Many studies that explicitly address the issue of scale do so by comparing local and regional scales. Our results show that efforts to conserve plant communities should take into account scale dependence when analyzing species richness-environment relationships, even at much finer resolutions than local vs. regional. In addition, conserving heterogeneity in woody vegetation structure at multiple scales is a key to conserving diverse herbaceous communities.
AB - AimsStudies of species distribution patterns traditionally have been conducted at a single scale, often overlooking species-environment relationships operating at finer or coarser scales. Testing diversity-related hypotheses at multiple scales requires a robust sampling design that is nested across scales. Our chief motivation in this study was to quantify the contributions of different predictors of herbaceous species richness at a range of local scales.MethodsHere, we develop a hierarchically nested sampling design that is balanced across scales, in order to study the role of several environmental factors in determining herbaceous species distribution at various scales simultaneously. We focus on the impact of woody vegetation, a relatively unexplored factor, as well as that of soil and topography. Light detection and ranging (LiDAR) imaging enabled precise characterization of the 3D structure of the woody vegetation, while acoustic spectrophotometry allowed a particularly high-resolution mapping of soil CaCO3 and organic matter contents.Important FindingsWe found that woody vegetation was the dominant explanatory variable at all three scales (10, 100 and 1000 m2), accounting for more than 60% of the total explained variance. In addition, we found that the species richness-environment relationship was scale dependent. Many studies that explicitly address the issue of scale do so by comparing local and regional scales. Our results show that efforts to conserve plant communities should take into account scale dependence when analyzing species richness-environment relationships, even at much finer resolutions than local vs. regional. In addition, conserving heterogeneity in woody vegetation structure at multiple scales is a key to conserving diverse herbaceous communities.
KW - LiDAR
KW - Ramat Hanadiv Nature Park
KW - redundancy analysis
KW - species-environment relationship
KW - woody vegetation
UR - http://www.scopus.com/inward/record.url?scp=84875732302&partnerID=8YFLogxK
U2 - https://doi.org/10.1093/jpe/rts022
DO - https://doi.org/10.1093/jpe/rts022
M3 - مقالة
SN - 1752-9921
VL - 6
SP - 113
EP - 121
JO - Journal of Plant Ecology
JF - Journal of Plant Ecology
IS - 2
ER -