scholarly journals Multi-taxon inventory reveals highly consistent biodiversity responses to ecospace variation

2019 ◽  
Author(s):  
Ane Kirstine Brunbjerg ◽  
Hans Henrik Bruun ◽  
Lars Dalby ◽  
Aimée T. Classen ◽  
Camilla Fløjgaard ◽  
...  

AbstractAmidst the global biodiversity crisis, identifying drivers of biodiversity variation remains a key challenge. Scientific consensus is limited to a few macroecological rules, such as species richness increasing with area, which provide limited guidance for conservation. In fact, few agreed ecological principles apply at the scale of sites or reserve management, partly because most community-level studies are restricted to single habitat types and species groups. We used the recently proposed ecospace framework and a comprehensive data set for aggregating environmental variation to predict multi-taxon diversity. We studied richness of plants, fungi, and arthropods in 130 sites representing the major terrestrial habitat types in Denmark. We found the abiotic environment (ecospace position) to be pivotal for the richness of primary producers (vascular plants, mosses, and lichens) and, more surprisingly, little support for ecospace continuity as a driver. A peak in richness at intermediate productivity adds new empirical evidence to a long-standing debate over biodiversity responses to productivity. Finally, we discovered a dominant and positive response of fungi and insect richness to organic matter accumulation and diversification (ecospace expansion). Two simple models of producer and consumer richness accounted for 77 % of the variation in multi-taxon species richness suggesting a significant potential for generalization beyond individual species responses. Our study widens the traditional conservation focus on vegetation and vertebrate populations unravelling the importance of diversification of carbon resources for diverse heterotrophs, such as fungi and insects.

2017 ◽  
Author(s):  
Ganlin Huang ◽  
Rosie Brook ◽  
Monica Crippa ◽  
Greet Janssens-Maenhout ◽  
Christian Schieberle ◽  
...  

Abstract. Non-methane volatile organic compounds (NMVOC) include a large number of chemical species which differ significantly in their chemical characteristics and thus in their impacts on ozone and secondary organic aerosols formation. It is important that chemical transport models (CTMs) simulate the chemical transformation of the different NMVOC species in the troposphere consistently. In most emission inventories, however, only total NMVOC emissions are reported, which need to be decomposed into classes to fit the requirements of CTMs. For instance, the Emissions Database for Global Atmospheric Research (EDGAR) provides spatially resolved global anthropogenic emissions of total NMVOC. In this study the EDGAR NMVOC inventory was revised and extended in time and in sectors. Moreover the new version of NMVOC emission data in the EDGAR database were disaggregated on a high sector resolution to individual species or species groups, thus enhancing the usability of the NMVOC emission data by the modelling community. Region- and source-specific speciation profiles of NMVOC species or species groups, are compiled and mapped to EDGAR processes (high resolution of sectors), with corresponding quality codes specifying the quality of the mapping. Individual NMVOC species in different profiles are aggregated to 25 species groups, in line with the common classification of the Global Emissions Initiative (GEIA). Global annual grid maps with a resolution of 0.1° × 0.1° for the period 1970–2012 are produced by sector and species. Furthermore, trends of NMVOC composition are analysed taking road transport and residential sources in Germany and the United Kingdom (UK) as examples.


2019 ◽  
Author(s):  
Jesper Erenskjold Moeslund ◽  
András Zlinszky ◽  
Rasmus Ejrnæs ◽  
Ane Kirstine Brunbjerg ◽  
Peder Klith Bøcher ◽  
...  

ABSTRACTEffective planning and nature management require spatially accurate and comprehensive measures of the factors important for biodiversity. Light detection and ranging (LIDAR also known as light radar) can provide exactly this, and is hereby a promising technology to support future nature management and related applications. However, until now studies evaluating the potential of LIDAR for this field have been highly limited in scope. Here, we assess the potential of LIDAR to estimate the local diversity of four species groups in multiple habitat types, from open grasslands and meadows over shrubland to forests and across a large area (approximately 43.000 km2), providing a crucial step towards enabling the application of LIDAR in practice, planning and policy-making. We assessed the relationships between the species richness of macrofungi, lichens, bryophytes and plants, respectively, and 25 LIDAR-based measures related to potential abiotic and biotic diversity drivers. We used negative binomial Generalized Linear Modelling to construct 19 different relevant models for each species group, and leave-one-region-out cross validation to select the best models. These best models explained 49, 31, 32 and 28 % of the variation in species richness (R2) for macrofungi, lichens, bryophytes and plants respectively. Three LIDAR measures were important and positively related to the richness in three of the four species groups: variation in local heat load, terrain slope and shrub layer height. Four other LIDAR measures were ranked among the three most important for at least one of the species groups: point amplitude entropy, shrub layer density (1.5 – 5 m), medium-tree layer density (10 – 15 m) and variation in biomass. Generally, LIDAR measures exhibited strong associations to the biotic environment, and to some abiotic factors, but was not suitable for representing spatiotemporal continuity. In conclusion, we showed how well LIDAR alone can predict the local biodiversity across habitats. We also showed that several LIDAR measures are highly correlated to important biodiversity drivers, which are notoriously hard to measure in the field. This opens up hitherto unseen possibilities for using LIDAR for cost-effective monitoring and management of local biodiversity across species groups and habitat types even over large areas.


2018 ◽  
Vol 115 (15) ◽  
pp. 3876-3881 ◽  
Author(s):  
Seth Binder ◽  
Forest Isbell ◽  
Stephen Polasky ◽  
Jane A. Catford ◽  
David Tilman

The biodiversity–ecosystem functioning (BEF) literature provides strong evidence of the biophysical basis for the potential profitability of greater diversity but does not address questions of optimal management. BEF studies typically focus on the ecosystem outputs produced by randomly assembled communities that only differ in their biodiversity levels, measured by indices such as species richness. Landholders, however, do not randomly select species to plant; they choose particular species that collectively maximize profits. As such, their interest is not in comparing the average performance of randomly assembled communities at each level of biodiversity but rather comparing the best-performing communities at each diversity level. Assessing the best-performing mixture requires detailed accounting of species’ identities and relative abundances. It also requires accounting for the financial cost of individual species’ seeds, and the economic value of changes in the quality, quantity, and variability of the species’ collective output—something that existing multifunctionality indices fail to do. This study presents an assessment approach that integrates the relevant factors into a single, coherent framework. It uses ecological production functions to inform an economic model consistent with the utility-maximizing decisions of a potentially risk-averse private landowner. We demonstrate the salience and applicability of the framework using data from an experimental grassland to estimate production relationships for hay and carbon storage. For that case, our results suggest that even a risk-neutral, profit-maximizing landowner would favor a highly diverse mix of species, with optimal species richness falling between the low levels currently found in commercial grasslands and the high levels found in natural grasslands.


1969 ◽  
Vol 47 (1) ◽  
pp. 187-212
Author(s):  
C. D. Bird

One hundred and fifty-four taxa of bryophytes, including 15 hepatics, 2 peat mosses, and 137 mosses, are reported for the 255 000 km2 aspen parkland region of west-central Canada. Descriptions of the habitats and distribution of the individual taxa are given as well as species groups characteristic of the major habitat types. The following distributional elements are represented: Pan North American, 37%; Arctic–Boreal, 24%; Boreal, 21%; Eastern Boreal, 8%; Western Boreal, 1%; Cordilleran, 1%; Temperate, 5%; and Western Temperate, 1%. Only 3% of the taxa are endemic to North America.


2000 ◽  
Vol 40 (2) ◽  
pp. 143 ◽  
Author(s):  
B. A. Orchard ◽  
B. R. Cullis ◽  
N. E. Coombes ◽  
J. M. Virgona ◽  
T. Klein

Long-term agricultural experiments such as the Temperate Pastures Sustainability Key Program (TPSKP) present significant challenges in the areas of planning and design, conduct, analysis and reporting. This paper concentrates on 2 aspects, namely, the experimental design and the statistical analysis. For long-term agricultural experiments which examine the effects of management strategies over time, an enumeration of the initial biodiversity is essential and permits the allocation of treatments to plots in such a way that potential bias in the estimation of treatment effects due to lack of uniformity in experimental units (plots) is reduced in the covariate analysis. Spatial replication is considered essential and the design should include at least 2 starting dates for management strategies so that the possible interaction between the year of start and the management strategy can be described. The data resulting from repeated measurement of herbage mass of major individual species or species groups represent a longitudinal data set with complexity due to the staggered commencement of treatments and also in part due to the nature of some of the strategies (closure and cuts). The analysis presented is the cubic smoothing spline approach of Verbyla et al. (1999) which integrates cubic splines, random coefficients, covariance modelling and estimation of systematic deviation. This approach, based on linear mixed models and using residual maximum likelihood (REML) has the flexibility to cope with the staggered imposition of management strategies and permits the partitioning of trends into smooth and non-smooth components, thereby quantifying species persistence and seasonal influence under each management strategy.


2017 ◽  
Vol 17 (12) ◽  
pp. 7683-7701 ◽  
Author(s):  
Ganlin Huang ◽  
Rosie Brook ◽  
Monica Crippa ◽  
Greet Janssens-Maenhout ◽  
Christian Schieberle ◽  
...  

Abstract. Non-methane volatile organic compounds (NMVOCs) include a large number of chemical species which differ significantly in their chemical characteristics and thus in their impacts on ozone and secondary organic aerosol formation. It is important that chemical transport models (CTMs) simulate the chemical transformation of the different NMVOC species in the troposphere consistently. In most emission inventories, however, only total NMVOC emissions are reported, which need to be decomposed into classes to fit the requirements of CTMs. For instance, the Emissions Database for Global Atmospheric Research (EDGAR) provides spatially resolved global anthropogenic emissions of total NMVOCs. In this study the EDGAR NMVOC inventory was revised and extended in time and in sectors. Moreover the new version of NMVOC emission data in the EDGAR database were disaggregated on a detailed sector resolution to individual species or species groups, thus enhancing the usability of the NMVOC emission data by the modelling community. Region- and source-specific speciation profiles of NMVOC species or species groups are compiled and mapped to EDGAR processes (detailed resolution of sectors), with corresponding quality codes specifying the quality of the mapping. Individual NMVOC species in different profiles are aggregated to 25 species groups, in line with the common classification of the Global Emissions Initiative (GEIA). Global annual grid maps with a resolution of 0.1°  ×  0.1° for the period 1970–2012 are produced by sector and species. Furthermore, trends in NMVOC composition are analysed, taking road transport and residential sources in Germany and the United Kingdom (UK) as examples.


2018 ◽  
Author(s):  
Ane Kirstine Brunbjerg ◽  
Hans Henrik Bruun ◽  
Lars Dalby ◽  
Camilla Fløjgaard ◽  
Tobias G. Frøslev ◽  
...  

AbstractPlants regulate soils and microclimate, provide substrate for heterotrophic taxa, are easy to observe and identify and have a stable taxonomy, which strongly justifies the use of plants as bioindicators in monitoring and conservation. However, insects and fungi make up the vast majority of species. Surprisingly, it remains untested whether plants are strong predictors of total multi-taxon species richness. To answer this question, we collected an extensive data set on species richness of vascular plants, bryophytes, macrofungi, lichens, plant-galling arthropods, gastropods, spiders, carabid beetles, hoverflies and OTU richness from environmental DNA metabarcoding. Plant species richness per se was a moderate predictor of richness of other taxa. Taking an ecospace approach to modelling, the addition of plant-derived bioindicators revealed 1) a consistently positive effect of plant richness on other taxa, 2) prediction of 12-55% of variation in other taxa and 48 % of variation in the total species richness.


2019 ◽  
Author(s):  
Marko J. Spasojevic ◽  
Sören Weber1

Stable carbon (C) and nitrogen (N) isotopes in plants are important indicators of plant water use efficiency and N acquisition strategies. While often regarded as being under environmental control, there is growing evidence that evolutionary history may also shape variation in stable isotope ratios (δ13C and δ15N) among plant species. Here we examined patterns of foliar δ13C and δ15N in alpine tundra for 59 species in 20 plant families. To assess the importance of environmental controls and evolutionary history, we examined if average δ13C and δ15N predictably differed among habitat types, if individual species exhibited intraspecific trait variation (ITV) in δ13C and δ15N, and if there were a significant phylogenetic signal in δ13C and δ15N. We found that variation among habitat types in both δ13C and δ15N mirrored well-known patterns of water and nitrogen limitation. Conversely, we also found that 40% of species exhibited no ITV in δ13C and 35% of species exhibited no ITV in δ15N, suggesting that some species are under stronger evolutionary control. However, we only found a modest signal of phylogenetic conservatism in δ13C and no phylogenetic signal in δ15N suggesting that shared ancestry is a weaker driver of tundra wide variation in stable isotopes. Together, our results suggest that both evolutionary history and local environmental conditions play a role in determining variation in δ13C and δ15N and that considering both factors can help with interpreting isotope patterns in nature and with predicting which species may be able to respond to rapidly changing environmental conditions.


2011 ◽  
Vol 28 (1) ◽  
pp. 25-30 ◽  
Author(s):  
Li-ping LI ◽  
Nurbay Abdusalih ◽  
Shao-peng WANG ◽  
Zhi-heng WANG ◽  
Zhi-yao TANG

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