scholarly journals How much leaf area do insects eat? A data set of insect herbivory sampled globally with a standardized protocol

Ecology ◽  
2021 ◽  
Author(s):  
Gisele M. Mendes ◽  
Fernando A.O. Silveira ◽  
Carolina Oliveira ◽  
Wesley Dáttilo ◽  
Roger Guevara ◽  
...  
Author(s):  
Sonia Mediavilla ◽  
Montserrat Martínez-Ortega ◽  
Santiago Andrés ◽  
Javier Bobo ◽  
Alfonso Escudero

Author(s):  
C. Matthew ◽  
A. Hernandez-Garay ◽  
J. Hodgson

Interpretation of tiller or shoot density data requires resolution of two independent, confounding effects, namely size/density compensation and what is here called the "leaf area effect". Size/density compensation implies that at higher herbage mass, individual tillers or shoots are larger, but the population density is correspondingly decreased. The leaf area effect represents difference in sward leaf area for two tiller populations. Such leaf area differences may be environmentally or genetically determined, but must of necessity be expressed through change in tiller size and/or tiller density as "yield components" of leaf area. The theoretical basis for distinguishing between size/density compensation and the leaf area effect is to consider tiller or shoot density and herbage yield, respectively, as X,Y co-ordinates in a size/density plot. When such a plot is drawn on a logarithmic scale, points along a line of -l/2 slope show size/ density compensation with respect to each other. Movement of points to the right or left of the size/ density compensation line is evidence of a leaf area effect. It is shown that when the size/density effects are removed from a data set in this way, rankings of experimental treatments for the leaf area effect can often be reversed compared with the ranking of uncorrected tiller density. Tiller density data corrected for size/density compen-. sation in this way appear to be a useful indicator of sward productivity. Keywords: sizeldensity compensation, sward productivity, tiller density


2021 ◽  
Author(s):  
Kristiina Visakorpi ◽  
Sofia Gripenberg ◽  
Yadvinder Malhi ◽  
Terhi Riutta

AbstractOur current understanding of the relationship between insect herbivory and ecosystem productivity is limited. Previous studies have typically quantified only leaf area loss, or have been conducted during outbreak years. These set-ups often ignore the physiological changes taking place in the remaining plant tissue after insect attack, or may not represent typical, non-outbreak herbivore densities. Here, we estimate the amount of carbon lost to insect herbivory in a temperate deciduous woodland both through leaf area loss and, notably, through changes in leaf gas exchange in non-consumed leaves under non-outbreak densities of insects. We calculate how net primary productivity changes with decreasing and increasing levels of herbivory, and estimate what proportion of the carbon involved in the leaf area loss is transferred further in the food web. We estimate that the net primary productivity of an oak stand under ambient levels of herbivory is 54 - 69% lower than that of a completely intact stand. The effect of herbivory quantified only as leaf area loss (0.1 Mg C ha−1 yr−1) is considerably smaller than when the effects of herbivory on leaf physiology are included (8.5 Mg C ha−1 yr−1). We propose that the effect of herbivory on primary productivity is non-linear and mainly determined by changes in leaf gas exchange. We call for replicated studies in other systems to validate the relationship between insect herbivory and ecosystem productivity described here.


2019 ◽  
Vol 11 (2) ◽  
pp. 675-686
Author(s):  
Eric Mougin ◽  
Mamadou Oumar Diawara ◽  
Nogmana Soumaguel ◽  
Ali Amadou Maïga ◽  
Valérie Demarez ◽  
...  

Abstract. The leaf area index of Sahelian rangelands and related variables such as the vegetation cover fraction, the fraction of absorbed photosynthetically active radiation and the clumping index were measured between 2005 and 2017 in the Gourma region of northern Mali. These variables, known as climate essential variables, were derived from the acquisition and the processing of hemispherical photographs taken along 1 km linear sampling transects for five contrasted canopies and one millet field. The same sampling protocol was applied in a seasonally inundated Acacia open forest, along a 0.5 km transect, by taking photographs of the understorey and the tree canopy. These observations collected over more than a decade, in a remote and not very accessible region, provide a relevant and unique data set that can be used for a better understanding of the Sahelian vegetation response to the current rainfall changes. The collected data can also be used for satellite product evaluation and land surface model development and validation. This paper aims to present the field work that was carried out during 13 successive rainy seasons, the measured vegetation variables, and the associated open database. Finally, a few examples of data use are shown. DOI of the referenced data set: https://doi.org/10.17178/AMMA-CATCH.CE.Veg_Gh.


Author(s):  
Eric Mougin ◽  
Mamadou Oumar Diawara ◽  
Nogmana Soumaguel ◽  
Ali Amadou Maiga ◽  
Valerie Demarez ◽  
...  

2021 ◽  
Author(s):  
Briere Maxime ◽  
Christophe Francois ◽  
Francois Lebourgeois ◽  
Ingrid Seynave ◽  
Francois Ningre ◽  
...  

The leaf area index (LAI) is a key characteristic of forest stand aboveground net productivity (ANP), and many methods have been developed to estimate the LAI. However, every method has flaws, e.g., methods may be destructive, require means or time and/or show intrinsic bias and estimation errors. A relationship using basal area (G) and stand age to estimate LAI was proposed by Sonohat et al. (2004). We used literature data in addition to data form measurements campaign made in the northern half of France to build a data set with large ranges of pedoclimatic conditions, stand age and measured LAI. We validated the Sonohat et al. (2004) relationship and attempted to improve or modify it using other stand/dendrometric characteristics that could be predictors of the LAI. The result is a series of three models using the G, age and/or quadratic mean diameter (Dg), and the models were able to estimate the LAI of an oak only even-aged forest stand with good confidence (root mean square error, RMSE < 0.75) While G is the main predictor here, age and Dg could be used conjointly or exclusively given the available data, with variable precision in the estimations. Although these models could not, by construction, relate to the interannual variability of the LAI, they may provide the theoretical LAI of an untouched forest (no meteorological, biotic or anthropogenic perturbation) in recent years. additionally, the use of this model may be more interesting than an LAI measurement campaign, depending on the means to be invested in such a campaign.


2017 ◽  
Vol 65 (7) ◽  
pp. 582 ◽  
Author(s):  
Citra D. Dashiell ◽  
Shannon LeBel ◽  
Peter T. Green ◽  
Susanna E. Venn ◽  
John W. Morgan

The distribution and abundance of plant species in high mountain ecosystems are thought to depend largely on abiotic factors that play out at both landscape scales (e.g. steep environmental gradients affected by increasing elevation) and local scales (e.g. changes in topography, aspect and canopy cover). However, relatively little attention has been paid to biotic interactions, and how these might also change with landscape-wide and local factors. Ecological interactions between plants and insect herbivores are likely to alter species performance and affect local abundance, but their role in the Australian Alps remains largely unexplored. Here, we examine the prediction that the amount of herbivory on saplings of the dominant high elevation tree, snow gum Eucalyptus pauciflora Sieb. ex Spreng. (Myrtaceae), are lower at higher elevation because of increasing environmental stress. Using a reciprocal transplant experiment, we tested the prediction that origin of seed (low, mid, high elevation) has less effect on insect herbivory than environmentally-driven changes in plant morphology (height, leaf thickness, specific leaf area). Across all mountains studied, herbivory was best explained by a combination of plant height, canopy openness, leaf thickness and elevation, but not seed origin. This study highlights the individuality of each mountain environment, at landscape and local scales, as well as the complexity of relationships between environmental change, plants and insects. Given the factors that best explain herbivory across mountains, herbivory may decrease with decreasing productivity associated with increasing elevation, a trend in broad agreement with hypotheses associating leaf area loss to the availability of resources and plant vigour.


Sign in / Sign up

Export Citation Format

Share Document