The relationship between spectral and plant diversity: Disentangling the influence of metrics and habitat types at the landscape scale

被引：31

作者：

Perrone, Michela ^{[1
]}

Di Febbraro, Mirko ^{[2
]}

Conti, Luisa ^{[1
]}

Divisek, Jan ^{[3
,4
]}

Chytry, Milan ^{[3
]}

Keil, Petr ^{[1
]}

Carranza, Maria Laura ^{[2
,5
]}

Rocchini, Duccio ^{[1
,6
]}

Torresani, Michele ^{[7
]}

Moudry, Vitezslav ^{[1
]}

Simova, Petra ^{[1
]}

Prajzlerova, Dominika ^{[1
]}

Mullerova, Jana ^{[8
]}

Wild, Jan ^{[1
,9
]}

Malavasi, Marco ^{[10
]}

机构：

[1] Czech Univ Life Sci Prague, Fac Environm Sci, Dept Spatial Sci, Kamycka 129, Praha Suchdol 16500, Czech Republic

[2] Univ Molise, Dept Biosci & Terr, Envixlab, Contrada Fonte Lappone, I-86090 Pesche, Italy

[3] Masaryk Univ, Fac Sci, Dept Bot & Zool, Kotlarska 2, Brno 61137, Czech Republic

[4] Czech Acad Sci, Inst Geon, Dept Environm Geog, Drobneho 28, Brno 60200, Czech Republic

[5] Natl Biodivers Future Ctr NBFC, I-90133 Palermo, Italy

[6] Alma Mater Studiorum Univ Bologna, Dept Biol Geol & Environm Sci, BIOME Lab, Via Irnerio 42, I-40126 Bologna, Italy

[7] Free Univ Bolzano Bozen, Fac Agr Environm & Food Sci, Piazza Univ 5, I-39100 Bolzano, Italy

[8] Univ JE Purkyne, Fac Environm, Pasteurova 3632-15, Usti N L 40096, Czech Republic

[9] Czech Acad Sci, Inst Bot, Zamek 1, Pruhonice 25243, Czech Republic

[10] Univ Sassari, Dept Chem Phys Math & Nat Sci, Via Vienna 2, I-07100 Sassari, Italy

来源：

REMOTE SENSING OF ENVIRONMENT | 2023年 / 293卷

基金：

欧洲研究理事会;

关键词：

Biodiversity monitoring; Plant functional traits; Remote sensing; Species richness; Spectral variation hypothesis; Vascular plants; SPECIES RICHNESS; ALPHA-DIVERSITY; SPATIAL AUTOCORRELATION; BIODIVERSITY; VEGETATION; RESOLUTION; FOREST; PRODUCTIVITY; PATTERNS; EVENNESS;

D O I：

10.1016/j.rse.2023.113591

中图分类号：

X [环境科学、安全科学];

学科分类号：

08 ; 0830 ;

摘要：

Biodiversity monitoring is crucial for ecosystem conservation, but ground data collection is limited by cost, time, and scale. Remote sensing is a convenient approach providing frequent, near-real-time information with fine resolution over wide areas. According to the Spectral Variation Hypothesis (SVH), spectral diversity (SD) is an effective proxy of environmental heterogeneity, which ultimately relates to plant diversity. So far, studies testing the relationship between SD and biodiversity have reported contradictory findings, calling for a thorough investigation of the key factors (i.e., metrics applied, habitat type, scale, and temporal effects) and conditions under which such a relationship exists. This study investigates the applicability of the SVH for monitoring plant diversity at the landscape scale by comparing the performance of three types of SD metrics. Species richness and functional diversity were calculated for >2000 grid cells of 5 ' x 3 ' covering the Czech Republic. Within each cell, we quantified SD using a Landsat-8 "greenest pixel" composite by applying (i) the standard deviation of NDVI, (ii) Rao's Q entropy index and (iii) the richness of "spectral communities". Habitat type (i.e., land cover) was included in the models of the relationship between SD and ground biodiversity. Both species richness and functional diversity showed positive and significant relationships with each SD metric tested. However, SD alone accounted for a small fraction of the deviance explained by the models. Furthermore, the strength of the relationship depended significantly on habitat type and was highest in natural areas with transitional bushy and herbaceous vegetation. Our results underline that despite the stability of the significance of the relationship between SD and plant diversity at this scale, the applicability of SD for biodiversity monitoring is contextdependent and the factors mediating such a relationship must be carefully considered to avoid misleading conclusions.

引用

页数：14

共 87 条

[81] Influence of species richness, evenness, and composition on optical diversity: A simulation study [J].