Similarity in spatial structure constrains ecosystem relationships: Building a macroscale understanding of lakes
Similarity in spatial structure constrains ecosystem relationships: Building a macroscale understanding of lakes
复制标题
空间结构的相似性限制了生态系统关系：建立对湖泊的宏观理解
DOI：
10.1111/geb.12781
复制
发表时间：
2018
影响因子：
6.4
通讯作者：
Soranno, Patricia A.
中科院分区：
文献类型：
--
作者：
Lapierre, Jean‐Francois;Collins, Sarah M.;Seekell, David A.;Spence Cheruvelil, Kendra;Tan, Pang‐Ning;Skaff, Nicholas K.;Taranu, Zofia E.;Fergus, C. Emi;Soranno, Patricia A.
目的研究生态系统属性的主要空间格局（如营养素和初级生产的措施）和这些属性的多尺度地理驱动变量，并量化所有这些变量的格局的空间结构如何影响它们之间的关系强度。位置和时间周期我们研究了> 8，美国东北部180万平方公里区域内的500个湖泊。数据包括10年中位数（2002-2011）测量的生态系统属性，长期气候平均值和最近的土地利用/土地覆盖变量。主要类群研究我们专注于水生食物网基础上的生态系统属性，包括营养物质和藻类色素的浓度，是初级生产力的代理。MethodsWe量化的空间结构，生态系统的属性和地理驱动变量使用基于距离的莫兰特征向量地图（dbMEMs）。然后，我们比较了所有对变量的空间结构的相似性与变量之间的相关性，以说明如何空间结构约束生态系统properties.ResultsThe强度的空间结构下降，以气候，土地覆盖/使用，湖泊生态系统的属性和湖泊和景观形态。具有可比较的空间结构是观察一对变量之间强相关性的必要条件，但不是充分条件;具有非常不同的空间结构的变量永远不会强相关。湖泊生态系统的属性往往有一个中间的空间结构相比，他们的主要驱动程序，可能是因为气候和景观变量与已知的生态链接诱导spatial patterns.Main conclusionOur实证结果描述了内在的空间约束，决定生态系统属性和他们的地理驱动程序之间的预期关系在宏观尺度。我们的研究结果还表明，了解生态过程运行的空间尺度对于预测多尺度环境变化对生态系统特性的影响是必要的。
AimWe aimed to measure the dominant spatial patterns in ecosystem properties (such as nutrients and measures of primary production) and the multi‐scaled geographical driver variables of these properties and to quantify how the spatial structure of pattern in all of these variables influences the strength of relationships among them.Location and time periodWe studied > 8,500 lakes in a 1.8 million km2area of Northeast U.S.A. Data comprised 10‐year medians (2002–2011) for measured ecosystem properties, long‐term climate averages and recent land use/land cover variables.Major taxa studiedWe focused on ecosystem properties at the base of aquatic food webs, including concentrations of nutrients and algal pigments that are proxies of primary productivity.MethodsWe quantified spatial structure in ecosystem properties and their geographical driver variables using distance‐based Moran eigenvector maps (dbMEMs). We then compared the similarity in spatial structure for all pairs of variables with the correlation between variables to illustrate how spatial structure constrains relationships among ecosystem properties.ResultsThe strength of spatial structure decreased in order for climate, land cover/use, lake ecosystem properties and lake and landscape morphometry. Having a comparable spatial structure is a necessary condition to observe a strong relationship between a pair of variables, but not a sufficient one; variables with very different spatial structure are never strongly correlated. Lake ecosystem properties tended to have an intermediary spatial structure compared with that of their main drivers, probably because climate and landscape variables with known ecological links induce spatial patterns.Main conclusionOur empirical results describe inherent spatial constraints that dictate the expected relationships between ecosystem properties and their geographical drivers at macroscales. Our results also suggest that understanding the spatial scales at which ecological processes operate is necessary to predict the effects of multi‐scaled environmental changes on ecosystem properties.
登录
查看更多内容
影响因子：
5.2
作者：
Cael, B. B.;Heathcote, A. J.;Seekell, D. A.
通讯作者：
Seekell, D. A.
影响因子：
5
作者：
Read, Emily K.;Patil, Vijay P.;Weathers, Kathleen C.
通讯作者：
Weathers, Kathleen C.
影响因子：
9.2
作者：
Soranno PA;Bissell EG;Cheruvelil KS;Christel ST;Collins SM;Fergus CE;Filstrup CT;Lapierre JF;Lottig NR;Oliver SK;Scott CE;Smith NJ;Stopyak S;Yuan S;Bremigan MT;Downing JA;Gries C;Henry EN;Skaff NK;Stanley EH;Stow CA;Tan PN;Wagner T;Webster KE
通讯作者：
Webster KE
网络分析揭示了河水化学的多尺度控制
DOI：
10.1073/pnas.1404820111
发表时间：
2014
期刊：
Proceedings of the National Academy of Sciences
影响因子：
--
作者：
K. McGuire;C. Torgersen;G. Likens;D. Buso;W. Lowe;S. Bailey
通讯作者：
S. Bailey
影响因子：
5.2
作者：
O'Reilly, Catherine M.;Sharma, Sapna;Zhang, Guoqing
通讯作者：
Zhang, Guoqing