کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
2061166 1544024 2016 9 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Predicting soil respiration for the Qinghai-Tibet Plateau: An empirical comparison of regression models
ترجمه فارسی عنوان
پیش بینی تنفس خاک برای فلات چینگهای-تبت: مقایسه تجربی مدل های رگرسیون
موضوعات مرتبط
علوم زیستی و بیوفناوری علوم کشاورزی و بیولوژیک علوم دامی و جانورشناسی
چکیده انگلیسی


• We compare six models to approximate soil respiration on the Qinghai-Tibet Plateau.
• All regression models indicate the basic difference between grasslands and forests.
• Precipitation is supposed to be a main driver for soil respiration.
• We quantify soil respiration as an important climate feedback from a large key region.
• We provide a high resolution map of soil respiration for a large data-scarce area.

Alpine ecosystems like the Qinghai-Tibet Plateau strongly respond to global warming. Their soils, containing large carbon stocks, release more carbon dioxide as a possible consequence. Reciprocally, this may intensify climate warming. The Qinghai-Tibet plateaús large and almost inaccessible terrain results in a general data scarcity for this area making the quantification of soil carbon dynamics challenging. The current study provides an area-wide estimation of soil respiration for the Qinghai-Tibet Plateau, which is a key region for climate change studies due to its size and sensitivity. We compared the ability of six regression models to predict soil respiration that were developed within different studies and are based on mean annual air temperature, mean annual precipitation and belowground biomass. We used the WorldClim data sets to approximate annual soil respiration on a regional scale. Compared to field measurements of soil respiration at single spots in different vegetation zones on the Qinghai-Tibet Plateau (max. 1876.63 g C m−2 year−1), our predicted results (max. 1765.13 g C m−2 year−1) appear to be consistent. The basic difference between grasslands and forests in soil respiration is indicated by all regression models, however, a more precise differentiation between vegetation types is only exhibited by the regression model based on mean annual precipitation. Overall, this model performs best for most and the largest vegetation zones. Nevertheless, the approximations of the model based on mean annual temperature by Raich and Schlesinger (1992) with a lower constant better represent the vegetation zone of the alpine steppe. With this spatial estimation of soil respiration at a regional scale, a basis for assessing an area-specific potential of greenhouse gas emissions on the Qinghai-Tibet Plateau is provided. Moreover, we quantify a complex soil ecological process for this data-scarce area.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Pedobiologia - Volume 59, Issues 1–2, January 2016, Pages 41–49
نویسندگان
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