{"id":104,"date":"2021-05-19T15:08:15","date_gmt":"2021-05-19T07:08:15","guid":{"rendered":"https:\/\/lizhaolin.tk\/?p=104"},"modified":"2021-05-19T15:34:35","modified_gmt":"2021-05-19T07:34:35","slug":"%e4%b8%ad%e5%9b%bd%e9%99%86%e5%9c%b0%e7%94%9f%e6%80%81%e7%b3%bb%e7%bb%9f%e5%87%8b%e8%90%bd%e7%89%a9%e5%88%86%e8%a7%a3%e6%a8%a1%e5%bc%8f%e5%8f%8a%e5%85%b6%e9%a9%b1%e5%8a%a8%e5%9b%a0%e7%b4%a0","status":"publish","type":"post","link":"https:\/\/lizhaolin.tk\/index.php\/2021\/05\/19\/%e4%b8%ad%e5%9b%bd%e9%99%86%e5%9c%b0%e7%94%9f%e6%80%81%e7%b3%bb%e7%bb%9f%e5%87%8b%e8%90%bd%e7%89%a9%e5%88%86%e8%a7%a3%e6%a8%a1%e5%bc%8f%e5%8f%8a%e5%85%b6%e9%a9%b1%e5%8a%a8%e5%9b%a0%e7%b4%a0\/","title":{"rendered":"\u4e2d\u56fd\u9646\u5730\u751f\u6001\u7cfb\u7edf\u51cb\u843d\u7269\u5206\u89e3\u6a21\u5f0f\u53ca\u5176\u9a71\u52a8\u56e0\u7d20"},"content":{"rendered":"<h2>Patterns and driving factors of litter decomposition across Chinese terrestrial ecosystems<\/h2>\n<h2><a href=\"https:\/\/www.sciencedirect.com\/sdfe\/arp\/export\/S0959652620340099\/refworks-tagged-format\">Cite this article<\/a><\/h2>\n<p>Cai A, Liang G, Yang W, et al. Patterns and driving factors of litter decomposition across Chinese terrestrial ecosystems[J]. Journal of Cleaner Production, 2021, 278: 123964.<\/p>\n<h2>Highlights<\/h2>\n<ul>\n<li>\u968f\u7740\u7eac\u5ea6\u548c\u5b9e\u9a8c\u65f6\u95f4\u7684\u589e\u52a0\uff0c\u51cb\u843d\u7269\u5206\u89e3\u7387\u663e\u7740\u964d\u4f4e<\/li>\n<li>\u6c14\u5019\uff0c\u571f\u58e4\u7279\u6027\u548c\u51cb\u843d\u7269\u7279\u6027\u51b3\u5b9a\u4e86\u51cb\u843d\u7269\u5206\u89e3\u901f\u7387\u3002<\/li>\n<li>\u5185\u90e8\u548c\u5916\u90e8\u53d8\u91cf\u76f4\u63a5\u548c\u95f4\u63a5\u5730\u63a7\u5236\u5783\u573e\u5206\u89e3\u901f\u7387<\/li>\n<\/ul>\n<h2>Introduction<\/h2>\n<p>\u5168\u4e16\u754c\u7684\u9646\u5730\u690d\u7269\u6bcf\u5e74\u901a\u8fc7\u5149\u5408\u4f5c\u7528\u4ea7\u751f122Pg\u7684\u6709\u673a\u78b3\uff08C\uff09\u3002\u5927\u7ea6\u4e00\u534a\u7684\u6709\u673a\u78b3\u88ab\u8f6c\u5316\u4e3a\u6b7b\u4ea1\u7684\u6709\u673a\u7269\uff08&#8221;\u51cb\u843d\u7269&#8221;\uff09\u3002\u690d\u7269\u51cb\u843d\u7269\u7684\u5206\u89e3\u662f\u4e00\u4e2a\u91cd\u8981\u7684\u751f\u7269\u5730\u7403\u5316\u5b66\u8fc7\u7a0b\uff0c\u5b83\u63a7\u5236\u7740\u571f\u58e4\u6709\u673a\u7269\u7684\u5f62\u6210\u3001\u517b\u5206\u5faa\u73af\u548c\u80fd\u91cf\u6d41\u52a8\u3001\u5927\u6c14\u4e2d\u7684CO<sub>2<\/sub>\u6d53\u5ea6\u4ee5\u53ca\u690d\u7269\u751f\u957f\u3002<\/p>\n<p>\u51cb\u843d\u7269\u5206\u89e3\u7387\uff08k\uff0cday<sup>-1<\/sup>\uff09\u88ab\u7528\u6765\u8868\u793a\u51cb\u843d\u7269\u7684\u52a8\u6001\u53d8\u5316\u3002\u7136\u800c\uff0c\u4f20\u7edf\u7684\u51cb\u843d\u7269\u5206\u89e3\u7387\u5e76\u4e0d\u80fd\u76f4\u63a5\u53cd\u6620\u6e29\u5ea6\u53d8\u5316\u4e0e\u51cb\u843d\u7269\u5206\u89e3\u4e4b\u95f4\u7684\u5173\u7cfb\uff0c\u56e0\u6b64\u4e0d\u80fd\u9884\u6d4b\u6c14\u5019\u53d8\u6696\u5bf9\u51cb\u843d\u7269\u5468\u8f6c\u7684\u53cd\u9988\u4f5c\u7528\u3002<\/p>\n<p>Q<sub>10<\/sub>\u901a\u5e38\u7528\u4e8e\u53cd\u6620\u6709\u673a\u5316\u5408\u7269\u8870\u53d8\u5bf9\u6e29\u5ea6\u7684\u53cd\u5e94\uff0c\u662f\u6839\u636e\u6052\u5b9a\u7684\u57f9\u517b\u6e29\u5ea6\u548c\u4e0d\u8fde\u7eed\u7684\u5206\u89e3\u7387\u6d4b\u91cf\u6765\u8ba1\u7b97\u3002\u8fd9\u79cd\u65b9\u6cd5\u53ef\u80fd\u5bfc\u81f4\u5fae\u751f\u7269\u6709\u4e00\u5b9a\u7684\u9002\u5e94\u80fd\u529b\uff0c\u9020\u6210\u6709\u673a\u5316\u5408\u7269\u8870\u51cf\u4e0d\u5747\u5300\u3002\u540c\u65f6\uff0c\u6709\u673a\u5316\u5408\u7269\u8870\u51cf\u7684\u6e29\u5ea6\u54cd\u5e94\u901a\u5e38\u662f\u6839\u636e2-6\u7ea7\u6e29\u5ea6\u6765\u786e\u5b9a\u7684\uff0c\u800c\u4e0d\u662f\u6a21\u62df\u91ce\u5916\u6761\u4ef6\u6765\u4f30\u8ba1Q<sub>10<\/sub>\u3002\u6700\u540e\uff0c\u7531\u4e8e\u8d39\u65f6\u8d39\u529b\uff0c\u8fd9\u79cd\u65b9\u6cd5\u5f88\u96be\u7528\u4e8e\u5927\u89c4\u6a21\u7684\u6837\u672c\u6765\u63a2\u7d22Q<sub>10<\/sub>\u7684\u7a7a\u95f4\u53d8\u5316\u3002<\/p>\n<p>\u56e0\u6b64\uff0c\u63d0\u51fa\u4e86\u6e29\u5ea6\u53d8\u5316\u4e3a1\u2103\u65f6\u7684\u51cb\u843d\u7269\u5206\u89e3\u7387\uff08k<sub>DD<\/sub>\uff0cdegree days<sup>-1<\/sup>\uff09\uff0c\u4ee5\u89c4\u8303\u6e29\u5ea6\u4e0e\u6709\u673a\u5316\u5408\u7269\u5206\u89e3\u4e4b\u95f4\u7684\u5173\u7cfb\uff0c\u5e76\u6210\u529f\u5e94\u7528\u4e8e\u63a2\u7d22\u57fa\u4e8e\u5168\u7403\u6570\u636e\u96c6\u7684\u6eaa\u6d41\u548c\u6cb3\u6d41\u4e2d\u843d\u53f6\u51cb\u843d\u7269\u5206\u89e3\u5bf9\u6e29\u5ea6\u53d8\u5316\u7684\u654f\u611f\u6027\u3002<\/p>\n<h2>Methods<\/h2>\n<figure><img decoding=\"async\" loading=\"lazy\" src=\"https:\/\/lizhaolin.tk\/wp-content\/uploads\/2021\/05\/Fig1-1024x894.png\" sizes=\"(max-width: 960px) 100vw, 960px\" srcset=\"https:\/\/lizhaolin.tk\/wp-content\/uploads\/2021\/05\/Fig1-1024x894.png 1024w, https:\/\/lizhaolin.tk\/wp-content\/uploads\/2021\/05\/Fig1-300x262.png 300w, https:\/\/lizhaolin.tk\/wp-content\/uploads\/2021\/05\/Fig1-768x671.png 768w, https:\/\/lizhaolin.tk\/wp-content\/uploads\/2021\/05\/Fig1-1536x1341.png 1536w, https:\/\/lizhaolin.tk\/wp-content\/uploads\/2021\/05\/Fig1-1140x996.png 1140w, https:\/\/lizhaolin.tk\/wp-content\/uploads\/2021\/05\/Fig1.png 1721w\" alt=\"\" width=\"960\" height=\"838\" \/>\n<figcaption>Fig. 1. Distribution of the study sites (forest: blue dots, grassland: red dots, and cropland: green dots) in Chinese terrestrial ecosystems. (For interpretation of the references to colour in this figure legend, the reader is referred to the Web version of this article.)<\/figcaption>\n<\/figure>\n<p>\u7528\u4e00\u4e2a\u7efc\u5408\u7684\u6570\u636e\u96c6\u6765\u63a2\u7d22k<sub>DD<\/sub>\u7684\u7a7a\u95f4\u6a21\u5f0f\u548c\u9a71\u52a8\u56e0\u7d20\uff0c\u8be5\u6570\u636e\u96c6\u5305\u62ec253\u4e2a\u51fa\u7248\u7269\u4e2d\u76841370\u4e2a\u5355\u72ec\u7814\u7a76\u548c389\u4e2a\u6c14\u8c61\u7ad9\u7684\u6bcf\u4e2a\u5730\u70b9\u7684\u7d2f\u79ef\u65e5\u6e29\u5ea6\u3002<\/p>\n<p>\u8be5\u6570\u636e\u96c6\u6db5\u76d6\u4e86\u68ee\u6797\u3001\u8349\u5730\u548c\u519c\u7530\u751f\u6001\u7cfb\u7edf\u3002<\/p>\n<p>y=e<sup>kDD<\/sup><sup>*<\/sup><sup>x<\/sup>\uff1b\u5176\u4e2dy\u662f\u5728\u70ed\u65f6\u95f4x\uff08\u65e5\u7d2f\u79ef\u65e5\u5ea6\u6570-\u5929\uff09\u65f6\u5269\u4f59\u7684\u690d\u7269\u51cb\u843d\u7269\u8d28\u91cf\u7684\u767e\u5206\u6bd4\uff0c\u800ck<sub>DD<\/sub>\uff08degree day<sup>-1<\/sup>\uff09\u662f\u6e29\u5ea6\u53d8\u53161\u00b0C\u65f6\u7684\u51cb\u843d\u7269\u5206\u89e3\u7387\u3002<\/p>\n<p>\u4e3a\u4e86\u89e3\u51b3k<sub>DD<\/sub>\u5982\u4f55\u968f\u73af\u5883\u53d8\u91cf\u53d8\u5316\u7684\u95ee\u9898\uff0c\u5c06\u56db\u4e2a\u5206\u7c7b\u56e0\u7d20\uff08\u751f\u6001\u7cfb\u7edf\u3001\u51cb\u843d\u7269\u7ec4\u7ec7\u3001\u51cb\u843d\u7269\u7c7b\u578b\u548c\u5b9e\u9a8c\u65f6\u95f4\uff09\u5206\u5f00\u8fdb\u884c\u5206\u6790\u3002<\/p>\n<p>\u4e3a\u4e86\u63a2\u7d22k<sub>DD<\/sub>\u7684\u7a7a\u95f4\u53d8\u5316\uff0c\u6211\u4eec\u6839\u636e\u4e2d\u56fd\u751f\u6001\u5730\u7406\u6c14\u5019\u533a\u6784\u5efa\u4e86\u56db\u4e2a\u6c14\u5019\u533a<\/p>\n<p>\u57fa\u4e8e\u7406\u8bba\u77e5\u8bc6\u548c\u6570\u636e\u96c6\u7684\u6709\u6548\u6027\uff0c\u91c7\u752810\u4e2a\u53d8\u91cf\u63a2\u8ba8\u4e86\u73af\u5883\u53d8\u91cf\u5bf9k<sub>DD<\/sub>\u7684\u5f71\u54cd\uff0c\u5bf910\u4e2a\u53d8\u91cf\u4e0ek<sub>DD<\/sub>\u8fdb\u884cPearson\u76f8\u5173\u5206\u6790\uff0c\u6839\u636e\u76f8\u5173\u7cfb\u6570\u548c\u56de\u5f52\u65b9\u7a0b\u9009\u62e9\u4e0d\u540c\u751f\u6001\u7cfb\u7edf\u7684\u76f8\u5173\u56e0\u5b50\u3002\u4fdd\u7559\u4e86\u516d\u4e2a\u56e0\u7d20\uff08MAT\u3001MAP\u3001\u571f\u58e4\u542b\u6c99\u91cf\u3001\u571f\u58e4pH\u503c\u3001\u51cb\u843d\u7269\u6c2e\u548c\u6728\u8d28\u7d20\u6d53\u5ea6\uff09\u3002<\/p>\n<p>\u901a\u8fc7Boosted regression tree (BRT) analyses\u5bf9\u4e0d\u540c\u7c7b\u578b\u7684\u53d8\u91cf\u8fdb\u884c\u4e86\u5206\u6790\uff0c\u5e76\u6839\u636e\u975e\u7ebf\u6027\u5173\u7cfb\u91cf\u5316\u4e86\u51b3\u5b9ak<sub>DD<\/sub>\u7684\u76f8\u5bf9\u6709\u5f71\u54cd\u529b\u7684\u53d8\u91cf<\/p>\n<p>\u4f7f\u7528\u7ed3\u6784\u65b9\u7a0b\u6a21\u578b\uff08SEM\uff09\u5206\u6790\u4e86\u571f\u58e4\u51cb\u843d\u7269\u7684\u76f4\u63a5\u548c\u95f4\u63a5\u9014\u5f84\uff0c\u5e76\u68c0\u9a8c\u4e86\u6c14\u5019\u53d8\u91cf\u662f\u5426\u901a\u8fc7\u5f71\u54cd\u51cb\u843d\u7269\u8d28\u91cf\u548c\u571f\u58e4\u6027\u8d28\u6765\u5f71\u54cdk<sub>DD<\/sub>\u3002<\/p>\n<p>\u6700\u540e\uff0c\u91c7\u7528\u90e8\u5206\u76f8\u5173\u5206\u6790\u6765\u7814\u7a76MAT\u3001MAP\u3001\u542b\u6c99\u91cf\u3001pH\u503c\u3001\u5783\u573e\u6c2e\u3001\u6728\u8d28\u7d20\u542b\u91cf\u548c\u5b9e\u9a8c\u65f6\u95f4\u4e4b\u95f4\u7684\u76f8\u4e92\u5f71\u54cd\u662f\u5426\u53d6\u51b3\u4e8e\u5176\u4ed6\u4e00\u4e2a\u6216\u591a\u4e2a\u56e0\u7d20<\/p>\n<h2>Results<\/h2>\n<p>\u51cb\u843d\u7269\u5206\u89e3\u5728\u4e0d\u540c\u7684\u9646\u5730\u751f\u6001\u7cfb\u7edf\uff0c\u51cb\u843d\u7269\u7ec4\u7ec7\u548c\u7c7b\u578b\u4e4b\u95f4\u5dee\u5f02\u5f88\u5927\u3002\u68ee\u6797\u3001\u8349\u539f\u548c\u8015\u5730\u751f\u6001\u7cfb\u7edf\u7684\u5e73\u5747k<sub>DD<\/sub>\u5206\u522b\u4e3a1.30\u30012.23\u548c3.35 \u00d7 10<sup>-4 <\/sup>degree days<sup>-1<\/sup>\u3002\u968f\u7740\u5b9e\u9a8c\u5e74\u9650\u7684\u589e\u52a0\uff0ck<sub>DD<\/sub>\u660e\u663e\u4e0b\u964d\u3002<\/p>\n<figure><img decoding=\"async\" loading=\"lazy\" src=\"https:\/\/lizhaolin.tk\/wp-content\/uploads\/2021\/05\/Fig2-1024x320.png\" sizes=\"(max-width: 960px) 100vw, 960px\" srcset=\"https:\/\/lizhaolin.tk\/wp-content\/uploads\/2021\/05\/Fig2-1024x320.png 1024w, https:\/\/lizhaolin.tk\/wp-content\/uploads\/2021\/05\/Fig2-300x94.png 300w, https:\/\/lizhaolin.tk\/wp-content\/uploads\/2021\/05\/Fig2-768x240.png 768w, https:\/\/lizhaolin.tk\/wp-content\/uploads\/2021\/05\/Fig2-1536x480.png 1536w, https:\/\/lizhaolin.tk\/wp-content\/uploads\/2021\/05\/Fig2-2048x640.png 2048w, https:\/\/lizhaolin.tk\/wp-content\/uploads\/2021\/05\/Fig2-1140x357.png 1140w\" alt=\"\" width=\"960\" height=\"300\" \/>\n<p>\u00a0<\/p>\n<figcaption>Fig. 2. Frequency distribution of the litter decomposition (kDD, 10\u22124 degree days\u22121) in the forest (a), grassland (b), and cropland (c) terrestrial ecosystems. The red curve is the normal distribution of the kDD. (For interpretation of the references to colour in this figure legend, the reader is referred to the Web version of this article.)<\/figcaption>\n<\/figure>\n<figure><img decoding=\"async\" loading=\"lazy\" src=\"https:\/\/lizhaolin.tk\/wp-content\/uploads\/2021\/05\/Fig3-1024x314.png\" sizes=\"(max-width: 960px) 100vw, 960px\" srcset=\"https:\/\/lizhaolin.tk\/wp-content\/uploads\/2021\/05\/Fig3-1024x314.png 1024w, https:\/\/lizhaolin.tk\/wp-content\/uploads\/2021\/05\/Fig3-300x92.png 300w, https:\/\/lizhaolin.tk\/wp-content\/uploads\/2021\/05\/Fig3-768x236.png 768w, https:\/\/lizhaolin.tk\/wp-content\/uploads\/2021\/05\/Fig3-1536x472.png 1536w, https:\/\/lizhaolin.tk\/wp-content\/uploads\/2021\/05\/Fig3-2048x629.png 2048w, https:\/\/lizhaolin.tk\/wp-content\/uploads\/2021\/05\/Fig3-1140x350.png 1140w\" alt=\"\" width=\"960\" height=\"294\" \/>\n<p>\u00a0<\/p>\n<figcaption>Fig. 3. Differences in the litter decomposition (kDD, 10\u22124 degree days\u22121) for different litter tissues in the forest (a), grassland (b), and cropland (c) ecosystems. The boxes show the 25% and 75% percentiles, and the lines and black dots in the boxes represent the medians and means, respectively.<\/figcaption>\n<\/figure>\n<p><img decoding=\"async\" loading=\"lazy\" src=\"https:\/\/lizhaolin.tk\/wp-content\/uploads\/2021\/05\/table1-1024x699.png\" sizes=\"(max-width: 960px) 100vw, 960px\" srcset=\"https:\/\/lizhaolin.tk\/wp-content\/uploads\/2021\/05\/table1-1024x699.png 1024w, https:\/\/lizhaolin.tk\/wp-content\/uploads\/2021\/05\/table1-300x205.png 300w, https:\/\/lizhaolin.tk\/wp-content\/uploads\/2021\/05\/table1-768x525.png 768w, https:\/\/lizhaolin.tk\/wp-content\/uploads\/2021\/05\/table1-1536x1049.png 1536w, https:\/\/lizhaolin.tk\/wp-content\/uploads\/2021\/05\/table1-1140x779.png 1140w, https:\/\/lizhaolin.tk\/wp-content\/uploads\/2021\/05\/table1.png 1839w\" alt=\"\" width=\"960\" height=\"655\" \/><\/p>\n<figure><img decoding=\"async\" loading=\"lazy\" src=\"https:\/\/lizhaolin.tk\/wp-content\/uploads\/2021\/05\/fig4-1024x806.png\" sizes=\"(max-width: 960px) 100vw, 960px\" srcset=\"https:\/\/lizhaolin.tk\/wp-content\/uploads\/2021\/05\/fig4-1024x806.png 1024w, https:\/\/lizhaolin.tk\/wp-content\/uploads\/2021\/05\/fig4-300x236.png 300w, https:\/\/lizhaolin.tk\/wp-content\/uploads\/2021\/05\/fig4-768x604.png 768w, https:\/\/lizhaolin.tk\/wp-content\/uploads\/2021\/05\/fig4-1536x1209.png 1536w, https:\/\/lizhaolin.tk\/wp-content\/uploads\/2021\/05\/fig4-2048x1612.png 2048w, https:\/\/lizhaolin.tk\/wp-content\/uploads\/2021\/05\/fig4-1140x897.png 1140w\" alt=\"\" width=\"960\" height=\"756\" \/>\n<p>\u00a0<\/p>\n<figcaption>Fig. 4. Maps and latitudinal patterns of the litter decomposition (kDD, 10\u22124 degree days\u22121) in all (a), forest (b), grassland (c), and cropland (d) ecosystems.<\/figcaption>\n<\/figure>\n<figure><img decoding=\"async\" loading=\"lazy\" src=\"https:\/\/lizhaolin.tk\/wp-content\/uploads\/2021\/05\/fig5-1024x297.jpg\" sizes=\"(max-width: 960px) 100vw, 960px\" srcset=\"https:\/\/lizhaolin.tk\/wp-content\/uploads\/2021\/05\/fig5-1024x297.jpg 1024w, https:\/\/lizhaolin.tk\/wp-content\/uploads\/2021\/05\/fig5-300x87.jpg 300w, https:\/\/lizhaolin.tk\/wp-content\/uploads\/2021\/05\/fig5-768x223.jpg 768w, https:\/\/lizhaolin.tk\/wp-content\/uploads\/2021\/05\/fig5-1536x446.jpg 1536w, https:\/\/lizhaolin.tk\/wp-content\/uploads\/2021\/05\/fig5-2048x594.jpg 2048w, https:\/\/lizhaolin.tk\/wp-content\/uploads\/2021\/05\/fig5-1140x331.jpg 1140w\" alt=\"\" width=\"960\" height=\"278\" \/>\n<p>\u00a0<\/p>\n<figcaption>Fig. 5. Changes in the litter decomposition (kDD, 10\u22124 degree days\u22121) at different experimental durations in the forest (a), grassland (b), and cropland (c) ecosystems. The boxes show the 25% and 75% percentiles, and the lines and black dots in the boxes represent the medians and means, respectively. The blue axis scale represents the forest (a) ecosystems, and the red axis scale represents the grassland (b) and cropland (c) ecosystems. The lines and slopes come from regression equations of kDD and experimental time.<\/figcaption>\n<\/figure>\n<p>\u6c14\u5019\u53d8\u91cf[\u5e74\u5e73\u5747\u6e29\u5ea6\uff08MAT\uff09\u548c\u964d\u6c34\uff08MAP\uff09]\u5360k<sub>DD<\/sub>\u603b\u53d8\u5f02\u768436.8%\uff0c\u5176\u6b21\u662f\u571f\u58e4\u6027\u8d28\uff08\u5982\u571f\u58e4\u542b\u6c99\u91cf\u548cpH\u503c\uff1b28.1%\uff09\uff0c\u5b9e\u9a8c\u65f6\u95f4\uff0823.0%\uff09\uff0c\u4ee5\u53ca\u51cb\u843d\u7269\u6027\u8d28\uff08\u5982\u6c2e\u548c\u6728\u8d28\u7d20\uff1b12.1%\uff09\u3002MAT\u548cMAP\u901a\u8fc7\u8c03\u8282\u571f\u58e4\u548c\u51cb\u843d\u7269\u7279\u6027\u5bf9k<sub>DD<\/sub>\u6709\u5f88\u5927\u7684\u95f4\u63a5\u5f71\u54cd\u3002\u6728\u8d28\u7d20\u76f4\u63a5\u5bf9k<sub>DD<\/sub>\u4ea7\u751f\u8d1f\u9762\u5f71\u54cd\u3002<\/p>\n<p>\u5982\u679c\u53bb\u9664\u6c14\u5019\u3001\u571f\u58e4\u7279\u6027\u548c\u5b9e\u9a8c\u65f6\u95f4\u7684\u5f71\u54cd\uff0ck<sub>DD<\/sub>\u548c\u51cb\u843d\u7269\u6027\u8d28\u4e4b\u95f4\u4fdd\u6301\u8f83\u9ad8\u7684\u76f8\u5173\u6027\u3002<\/p>\n<p>\u603b\u7684\u6765\u8bf4\uff0c\u5185\u5728\u53d8\u91cf\uff08\u51cb\u843d\u7269\u6027\u8d28\uff09\u548c\u5916\u5728\u53d8\u91cf\uff08\u6c14\u5019\u548c\u571f\u58e4\u7279\u6027\uff09\u5206\u522b\u5728\u533a\u57df\u8303\u56f4\u5185\u76f4\u63a5\u548c\u95f4\u63a5\u5730\u8c03\u8282k<sub>DD<\/sub><\/p>\n<figure><img decoding=\"async\" loading=\"lazy\" src=\"https:\/\/lizhaolin.tk\/wp-content\/uploads\/2021\/05\/fig6-1024x420.jpg\" sizes=\"(max-width: 960px) 100vw, 960px\" srcset=\"https:\/\/lizhaolin.tk\/wp-content\/uploads\/2021\/05\/fig6-1024x420.jpg 1024w, https:\/\/lizhaolin.tk\/wp-content\/uploads\/2021\/05\/fig6-300x123.jpg 300w, https:\/\/lizhaolin.tk\/wp-content\/uploads\/2021\/05\/fig6-768x315.jpg 768w, https:\/\/lizhaolin.tk\/wp-content\/uploads\/2021\/05\/fig6-1536x630.jpg 1536w, https:\/\/lizhaolin.tk\/wp-content\/uploads\/2021\/05\/fig6-2048x841.jpg 2048w, https:\/\/lizhaolin.tk\/wp-content\/uploads\/2021\/05\/fig6-1140x468.jpg 1140w\" alt=\"\" width=\"960\" height=\"394\" \/>\n<p>\u00a0<\/p>\n<figcaption>Fig. 6. The relative influence (%) of predictor variables for the boosted regression tree model of the litter decomposition (kDD, 10\u22124 degree days\u22121) in Chinese terrestrial ecosystems (a). Observed and predicted litter decomposition by the boosted regression tree model using the predictors are shown in Fig. 6b. The black line represents a 1:1 relationship. The properties are climate (mean annual temperature, MAT and precipitation, MAP), soil (sand and soil pH), and litter (nitrogen and lignin).<\/figcaption>\n<\/figure>\n<p><img decoding=\"async\" loading=\"lazy\" src=\"https:\/\/lizhaolin.tk\/wp-content\/uploads\/2021\/05\/Table2-1024x630.png\" sizes=\"(max-width: 960px) 100vw, 960px\" srcset=\"https:\/\/lizhaolin.tk\/wp-content\/uploads\/2021\/05\/Table2-1024x630.png 1024w, https:\/\/lizhaolin.tk\/wp-content\/uploads\/2021\/05\/Table2-300x184.png 300w, https:\/\/lizhaolin.tk\/wp-content\/uploads\/2021\/05\/Table2-768x472.png 768w, https:\/\/lizhaolin.tk\/wp-content\/uploads\/2021\/05\/Table2-1536x945.png 1536w, https:\/\/lizhaolin.tk\/wp-content\/uploads\/2021\/05\/Table2-1140x701.png 1140w, https:\/\/lizhaolin.tk\/wp-content\/uploads\/2021\/05\/Table2.png 1784w\" alt=\"\" width=\"960\" height=\"591\" \/><\/p>\n<figure><img decoding=\"async\" loading=\"lazy\" src=\"https:\/\/lizhaolin.tk\/wp-content\/uploads\/2021\/05\/fig7-1024x1000.jpg\" sizes=\"(max-width: 960px) 100vw, 960px\" srcset=\"https:\/\/lizhaolin.tk\/wp-content\/uploads\/2021\/05\/fig7-1024x1000.jpg 1024w, https:\/\/lizhaolin.tk\/wp-content\/uploads\/2021\/05\/fig7-300x293.jpg 300w, https:\/\/lizhaolin.tk\/wp-content\/uploads\/2021\/05\/fig7-768x750.jpg 768w, https:\/\/lizhaolin.tk\/wp-content\/uploads\/2021\/05\/fig7-1536x1499.jpg 1536w, https:\/\/lizhaolin.tk\/wp-content\/uploads\/2021\/05\/fig7-1140x1113.jpg 1140w, https:\/\/lizhaolin.tk\/wp-content\/uploads\/2021\/05\/fig7.jpg 1723w\" alt=\"\" width=\"960\" height=\"938\" \/>\n<p>\u00a0<\/p>\n<figcaption>Fig. 7. Path analyses showed the direct and indirect effects of climate (mean annual temperature, MAT; and precipitation, MAP), soil properties (pH and sand content), and litter properties (nitrogen and lignin content) on the litter decomposition (kDD, 10\u22124 degree days\u22121) in Chinese terrestrial ecosystems (chi\/df = 2.17, P = 0.14; RMSEA = 0.03). The Arabic numerals are the standardized path coefficients. The solid and dashed arrows represent the positive and negative effects in a fitted structural equation model, respectively. The line thickness indicates the strength of the effects of the variables on each other.<\/figcaption>\n<\/figure>\n<p><img decoding=\"async\" loading=\"lazy\" src=\"https:\/\/lizhaolin.tk\/wp-content\/uploads\/2021\/05\/table3-1024x765.png\" sizes=\"(max-width: 960px) 100vw, 960px\" srcset=\"https:\/\/lizhaolin.tk\/wp-content\/uploads\/2021\/05\/table3-1024x765.png 1024w, https:\/\/lizhaolin.tk\/wp-content\/uploads\/2021\/05\/table3-300x224.png 300w, https:\/\/lizhaolin.tk\/wp-content\/uploads\/2021\/05\/table3-768x574.png 768w, https:\/\/lizhaolin.tk\/wp-content\/uploads\/2021\/05\/table3-1536x1148.png 1536w, https:\/\/lizhaolin.tk\/wp-content\/uploads\/2021\/05\/table3-1140x852.png 1140w, https:\/\/lizhaolin.tk\/wp-content\/uploads\/2021\/05\/table3.png 1800w\" alt=\"\" width=\"960\" height=\"717\" \/><\/p>\n<h2>Conclusions<\/h2>\n<p>\u51cb\u843d\u7269\u5206\u89e3\uff08k<sub>DD<\/sub>\uff09\u5728\u4e0d\u540c\u7684\u9646\u5730\u751f\u6001\u7cfb\u7edf\uff0c\u6c14\u5019\u533a\u57df\uff0c\u51cb\u843d\u7269\u7ec4\u7ec7\u548c\u7c7b\u578b\u4e4b\u95f4\u5dee\u5f02\u5f88\u5927\u3002 k<sub>DD<\/sub>\u4e0e\u68ee\u6797\u751f\u6001\u7cfb\u7edf\u4e2d\u7684\u7eac\u5ea6\u5448\u975e\u7ebf\u6027\u5173\u7cfb\uff0c\u5e76\u4e14\u968f\u7740\u8349\u5730\u548c\u519c\u7530\u751f\u6001\u7cfb\u7edf\u4e2d\u6d77\u62d4\u7684\u5347\u9ad8\u800c\u51cf\u5c0f\u3002\u968f\u7740\u5b9e\u9a8c\u5e74\u7684\u589e\u52a0\uff0ck<sub>DD<\/sub>\u660e\u663e\u964d\u4f4e\u3002MAT\u3001MAP\u3001\u6c99\u542b\u91cf\u3001pH\u3001\u51cb\u843d\u7269\u6c2e\u548c\u6728\u8d28\u7d20\u4f5c\u4e3a\u9884\u6d4b\u56e0\u5b50\u89e3\u91ca\u4e86k<sub>DD<\/sub>\u53d8\u5316\u768485.0\uff05\u3002\u6c14\u5019\u548c\u571f\u58e4\u7279\u6027\u901a\u8fc7\u8c03\u8282\u51cb\u843d\u7269\u7279\u6027\u95f4\u63a5\u5f71\u54cdk<sub>DD<\/sub>\u3002\u571f\u58e4pH\u503c\u5bf9\u51cb\u843d\u7269\u6027\u8d28\u4ea7\u751f\u8d1f\u9762\u5f71\u54cd\uff0c\u6c99\u542b\u91cf\u4e0e\u6728\u8d28\u7d20\u5448\u6b63\u76f8\u5173\u3002\u6728\u8d28\u7d20\u5bf9k<sub>DD<\/sub>\u8868\u73b0\u51fa\u5f3a\u70c8\u7684\u8d1f\u9762\u5f71\u54cd\uff0c\u4f46\u5bf9\u51cb\u843d\u7269N\u8868\u73b0\u51fa\u5fae\u5f31\u7684\u6b63\u9762\u5f71\u54cd\u3002\u5373\u4f7f\u53bb\u9664\u4e86\u5176\u4ed6\u53d8\u91cf\u7684\u5f71\u54cd\uff0c\u6728\u8d28\u7d20\u4e0ek<sub>DD<\/sub>\u4e4b\u95f4\u7684\u9ad8\u5ea6\u76f8\u5173\u6027\u4ecd\u7136\u5b58\u5728\u3002\u603b\u4f53\u800c\u8a00\uff0c\u5728\u533a\u57df\u8303\u56f4\u5185\uff0c\u5185\u5728\uff08\u51cb\u843d\u7269\u7279\u6027\uff09\u548c\u5916\u5728\uff08\u6c14\u5019\u548c\u571f\u58e4\u7279\u6027\uff09\u53d8\u91cf\u76f4\u63a5\u548c\u95f4\u63a5\u5730\u8c03\u8282\u4e86k<sub>DD<\/sub>\u3002<\/p>\n\n\n<p><a href=\"https:\/\/ars.els-cdn.com\/content\/image\/1-s2.0-S0959652620340099-mmc1.docx\">Appendix A.\u00a0Supplementary data<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>\u51cb\u843d\u7269\u5206\u89e3\u662f\u9646\u5730\u751f\u6001\u7cfb\u7edf\u4e2d\u78b3\u548c\u517b\u5206\u5faa\u73af\u548c\u80fd\u91cf\u6d41\u52a8\u7684\u91cd\u8981\u7ec4\u6210\u90e8\u5206\u3002\u4e86\u89e3\u6e29\u5ea6\u53d8\u5316\u4e3a1\u00b0C\u65f6\u51cb\u843d\u7269\u7684\u5206\u89e3\u7387\uff08kDD, degree days\u22121\uff09\u5bf9\u4e8e\u91cf\u5316\u6c14\u5019\u78b3\u3001\u8425\u517b\u548c\u80fd\u91cf\u5faa\u73af\u53cd\u9988\u4ee5\u53ca\u9884\u6d4b\u751f\u6001\u7cfb\u7edf\u5bf9\u6c14\u5019\u53d8\u5316\u7684\u54cd\u5e94\u81f3\u5173\u91cd\u8981\u3002<\/p>\n","protected":false},"author":1,"featured_media":125,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":[],"categories":[4],"tags":[],"_links":{"self":[{"href":"https:\/\/lizhaolin.tk\/index.php\/wp-json\/wp\/v2\/posts\/104"}],"collection":[{"href":"https:\/\/lizhaolin.tk\/index.php\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/lizhaolin.tk\/index.php\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/lizhaolin.tk\/index.php\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/lizhaolin.tk\/index.php\/wp-json\/wp\/v2\/comments?post=104"}],"version-history":[{"count":16,"href":"https:\/\/lizhaolin.tk\/index.php\/wp-json\/wp\/v2\/posts\/104\/revisions"}],"predecessor-version":[{"id":138,"href":"https:\/\/lizhaolin.tk\/index.php\/wp-json\/wp\/v2\/posts\/104\/revisions\/138"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/lizhaolin.tk\/index.php\/wp-json\/wp\/v2\/media\/125"}],"wp:attachment":[{"href":"https:\/\/lizhaolin.tk\/index.php\/wp-json\/wp\/v2\/media?parent=104"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/lizhaolin.tk\/index.php\/wp-json\/wp\/v2\/categories?post=104"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/lizhaolin.tk\/index.php\/wp-json\/wp\/v2\/tags?post=104"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}