Solving the fourth‐corner problem: forecasting ecosystem primary production from spatial multispecies trait‐based models

Sarker, Swapan Kumar; Reeve, Richard; Matthiopoulos, Jason

doi:10.1002/ecm.1454

Cited by 23 publications

(20 citation statements)

References 155 publications

(355 reference statements)

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“…To our knowledge, this is the first formal test of intraspecific variation in trait–environment relationships based on the three‐dimensional performance–trait–environment approach. This evidence adds to that already found across species and communities (Westoby et al ., 2002; Kichenin et al ., 2013; Lajoie & Vellend, 2015; Garnier et al ., 2016; Funk et al ., 2017; Dong et al ., 2020; Buchanan et al ., 2021; Sarker et al ., 2021). Future research could therefore focus on elucidating the origin of this heterogeneity.…”

Section: Discussionmentioning

confidence: 99%

“…In theory, traits relate to environmental gradients via fundamental eco‐physiological principles that lead to general trait–environment relationships (Westoby et al ., 2002; Garnier et al ., 2016). However, empirical evidence shows differences in trait–environment relationships across communities and regions (Westoby et al ., 2002; Garnier et al ., 2016; Funk et al ., 2017) and also across species found in a region (Kichenin et al ., 2013; Lajoie & Vellend, 2015; Dong et al ., 2020; Buchanan et al ., 2021; Sarker et al ., 2021). This leads to the question of whether trait–environment relationships also vary between genotypes of the same species, for which specific empirical tests are lacking (Westerband et al ., 2021).…”

Section: Introductionmentioning

confidence: 99%

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A trait–environment relationship approach to participatory plant breeding for organic agriculture

et al. 2022

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Summary The extent of intraspecific variation in trait–environment relationships is an open question with limited empirical support in crops. In organic agriculture, with high environmental heterogeneity, this knowledge could guide breeding programs to optimize crop attributes. We propose a three‐dimensional framework involving crop performance, crop traits, and environmental axes to uncover the multidimensionality of trait–environment relationships within a crop. We modeled instantaneous photosynthesis (Asat) and water‐use efficiency (WUE) as functions of four phenotypic traits, three soil variables, five carrot (Daucus carota) varieties, and their interactions in a national participatory plant breeding program involving a suite of farms across Canada. We used these interactions to describe the resulting 12 trait–environment relationships across varieties. We found one significant trait–environment relationship for Asat (taproot tissue density–soil phosphorus), which was consistent across varieties. For WUE, we found that three relationships (petiole diameter–soil nitrogen, petiole diameter–soil phosphorus, and leaf area–soil phosphorus) varied significantly across varieties. As a result, WUE was maximized by different combinations of trait values and soil conditions depending on the variety. Our three‐dimensional framework supports the identification of functional traits behind the differential responses of crop varieties to environmental variation and thus guides breeding programs to optimize crop attributes from an eco‐evolutionary perspective.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

A trait–environment relationship approach to participatory plant breeding for organic agriculture

et al. 2022

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“…This step seems to be crucial as intraspecific trait variability and nonlinear environmental trait scaling might heavily influence estimates of ecosystem functioning and multifunctionality (Des Roches et al, 2018; Wong & Carmona, 2021). Recently, Sarker et al (2021) demonstrated the validity of this approach comparing a variety of nonlinear link functions and models to calculate mangrove primary production from variable tree trait expressions. Similar approaches should be used to assess ecosystem service values from trait compositions (Figure 4).…”

Section: Quantifying Functionality and Well‐beingmentioning

confidence: 99%

From biodiversity to health: Quantifying the impact of diverse ecosystems on human well‐being

et al. 2022

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1. Ample evidence suggests positive effects of species diversity on ecosystem functioning and services in natural and agricultural landscapes. Less obvious and even contested are the effects of such diversity on human well-being. This state of art partly stems from methodological difficulties to evaluate and quantify these effects and imprecise conceptual frameworks.2. Here we propose a conceptual framework that links different aspects of diversity, particularly species and genetic richness, to ecosystem functioning, ecosystem services and disservices, and different aspects of well-being. We review current approaches for the study of diversity-well-being relationships and identify shortcomings and principle obstacles, mainly stemming from theoretical premises that are too imprecise.3. We discuss five basic methodological approaches to link diversity to well-being: matrix models, indirect inference, Price partitioning, structural equation modelling, and environmental inference. 4. We call for a stricter terminology with respect to the different aspects of functioning, multifunctionality and well-being and highlight the need to evaluate each step in the different pathways from diversity to well-being. A full understanding of ecological constraints on human well-being requires consideration of trade-offs in diversity effects, of contrasting perceptions of well-being, and of ecosystem disservices. We also call for appropriate long-term socio-ecological

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“…Besides, climate change and sea level rise (SLR) are influencing the growth of many tree species in the Sundarbans (Chowdhury et al, 2016a;Maxwell et al, 2018). Anticipated climate change and SLR may alter population structure and species composition in this ecosystem in future (Ghosh et al, 2019;Sarker et al, 2021). Studying the driving factors behind long-term mangrove growth provides important information on ecosystem functioning and the vulnerability of mangrove species.…”

Section: Introductionmentioning

confidence: 99%

Ring width and vessel features of the mangrove Excoecaria agallocha L. depend on salinity in the Sundarbans, Bangladesh

et al. 2021

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Solving the fourth‐corner problem: forecasting ecosystem primary production from spatial multispecies trait‐based models

Abstract: Solving the fourth-corner problem: forecasting ecosystem primary production from spatial multispecies trait-based models. Ecological Monographs 00(

Cited by 23 publications

References 155 publications

A trait–environment relationship approach to participatory plant breeding for organic agriculture

A trait–environment relationship approach to participatory plant breeding for organic agriculture

From biodiversity to health: Quantifying the impact of diverse ecosystems on human well‐being

Ring width and vessel features of the mangrove Excoecaria agallocha L. depend on salinity in the Sundarbans, Bangladesh

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