Relationship and its ecological significance between plant species diversity and ecosystem function of soil conservation in semi-humid evergreen forests, Yunnan Province, China

Wang, Zhen Hong; Yang, Chengbo; Yang, Limei; Zhou, Zizong; Rao, Jing; Li, Yuan; Ju, Li

doi:10.1007/s11461-007-0003-6

Cited by 9 publications

(9 citation statements)

References 17 publications

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“…We conceptualized our framework in three sub-models: (1) human demography: life history of individuals and history of households are simulated based on the 1996 national agriculture census and 2000 population census data, including detailed demographic and socioeconomic data; (2) local ecology or landscape: the model accommodates spatial distributions of various forest types based on Landsat images (Linderman et al 2004), and their volumes and growth rates based on literature (Yang and Li 1992); and (3) socioeconomics: our 220-household in-person interviews conducted from 1998 to 2001 were used to parameterize potential demands for fuelwood and electricity, which are connected to a set of demographic and socioeconomic factors.…”

Section: Imshedmentioning

confidence: 99%

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Case studies, cross-site comparisons, and the challenge of generalization: comparing agent-based models of land-use change in frontier regions

Parker

Entwisle²,

Rindfuss

et al. 2008

Journal of Land Use Science

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Cross-site comparisons of case studies have been identified as an important priority by the land-use science community. From an empirical perspective, such comparisons potentially allow generalizations that may contribute to production of global-scale land-use and land-cover change projections. From a theoretical perspective, such comparisons can inform development of a theory of land-use science by identifying potential hypotheses and supporting or refuting evidence. This paper undertakes a structured comparison of four case studies of land-use change in frontier regions that follow an agent-based modeling approach. Our hypothesis is that each case study represents a particular manifestation of a common process. Given differences in initial conditions among sites and the time at which the process is observed, actual mechanisms and outcomes are anticipated to differ substantially between sites. Our goal is to reveal both commonalities and differences among research sites, model implementations, and ultimately, conclusions derived from the modeling process.

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Section: Imshedmentioning

confidence: 99%

“…Cells are classified into deciduous forest, coniferous forest, a mix of deciduous and coniferous forest, and non-forest. Forest growth is governed by biophysical models (based on average growth rates) (Yang and Li 1992). …”

Section: Imshedmentioning

confidence: 99%

Case studies, cross-site comparisons, and the challenge of generalization: comparing agent-based models of land-use change in frontier regions

Parker

Entwisle²,

Rindfuss

et al. 2008

Journal of Land Use Science

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“…Many ecologists use the biodiversity gradient, e.g. loss of species at plant communities to test the biodiversity influence in the ecosystem productivity (WANG et al, 2007). Understanding the process of ecosystem services is important to assess the effects of present and future changes on these services in their conservation (CARDINALE et al, 2012).…”

Section: Introductionmentioning

confidence: 99%

Functional diversity influence in forest wood stock: a study of the brazilian savanna

Meira-Junior¹,

Imaña-Encinas²,

Pinto³

et al. 2016

Biosci. J.

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ABSTRACT:Research regarding biodiversity and ecosystem services has been demonstrating a positive correlation among the ecosystem processes, such as the carbon sink into plant biomass and the quantity of carbon in natural vegetation. Nonetheless, it is hard to understand the biodiversity measurements, because they involve gene, phenotypic, population, species, community and ecosystem diversity. The functional diversity refers to the species richness and variety, their characteristics and how that affects the functioning of an ecosystem. Primary productivity is a key factor that affects the functioning of a forest ecosystem. Thus, the aim of this paper was to evaluate the influence of functional diversity on the woody volume productivity (as a proxy for primary production) in the Brazilian savanna. We used six functional characteristics, and to verify the relation between forest production and functional diversity facets, we tested many models. Regarding wood volume, the best models were the exponential and logarithmic. None of the linear models showed significant regression parameters as there was no additive relationship among the multifaceted aspects of functional diversity and wood volume. We found a positive correlation between the functional diversity and primary productivity, which can be used to forecast the effects of diversity variation on ecosystem services.

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“…However, acquisition of this information in the field at species level (such as the regulation of plant individuals, i.e., morphology and physiology on eco‐hydrological function among plant species) lags behind, due to a lack of appropriate methods (Liu 1996, 1998). Although it is impossible to use spiral gutters to determine rainfall interception and stem flow in all of the different species, including shrubs and herbs, on a micro‐scale, a study on this scale is requisite to assessing the influence of plant morphology, composition and richness on rainfall interception, and further, on eco‐hydrological function (Wang et al 2007). A study at species levels can more clearly reveal the mechanisms underlying eco‐hydrological function than studies on the ecosystem or community levels, and based on individual species data, research may ensue into the micro‐scale.…”

Section: Introductionmentioning

confidence: 99%

How do Plant Morphological Characteristics, Species Composition and Richness Regulate Eco‐hydrological Function?

Wang

Duan

2010

JIPB

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Although considerable research has focused on the relationship between ecosystem structure and function, interactions of plant morphological characteristics, species composition and richness with eco-hydrological functions remain unclear. We measured water adherence (i.e. the capacity of a plant species to retain water), documented plant surface morphology and observed surface runoff at three sites in China. The adhering water ratios for each plant species differed, ranging from 17.1% to 151.5% in leaves, and from 14.4% to 41.1% in branches. Small, light-weight, soft, non-cuticularized leaves that were densely situated on small branches showed good water adherence. The next best adherence was found by branches with intermediately coarse surfaces. The plant species with high standing biomass also showed good water adherence, and the contribution of a species to total adherence was dependent upon its aboveground standing biomass. Vegetation parameters strongly affected water adherence, whereas the effect of species richness was not significant. Conversely, species richness showed a significant influence on surface runoff. The effect of plant morphological characteristics and composition constitutes a basic process in the regulation of eco-hydrological function, and vegetation parameters play somewhat different roles in that regulation. The key roles must therefore be considered from a management perspective.Wang ZH, Duan CQ (2010) How do plant morphological characteristics, species composition and richness regulate eco-hydrological function?

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Relationship and its ecological significance between plant species diversity and ecosystem function of soil conservation in semi-humid evergreen forests, Yunnan Province, China

Cited by 9 publications

References 17 publications

Case studies, cross-site comparisons, and the challenge of generalization: comparing agent-based models of land-use change in frontier regions

Case studies, cross-site comparisons, and the challenge of generalization: comparing agent-based models of land-use change in frontier regions

Functional diversity influence in forest wood stock: a study of the brazilian savanna

How do Plant Morphological Characteristics, Species Composition and Richness Regulate Eco‐hydrological Function?

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