| 000 | 04246nam a22004215i 4500 | ||
|---|---|---|---|
| 001 | 100903 | ||
| 003 | ESmaUEC | ||
| 005 | 20230102113016.0 | ||
| 006 | a||||fo|||| 00| 0 | ||
| 007 | cr nn nnnaamaa | ||
| 008 | 180618s2018 gw | s |||| 0|eng d | ||
| 020 |
_a9783319921501 _9 |
||
| 024 | 7 |
_a10.1007/978-3-319-92150-1 _2doi |
|
| 040 |
_aES-MaUEC _bspa _cES-MaUEC |
||
| 050 | 4 | _aQH540 2018 EB | |
| 100 | 1 |
_aHui, Cang _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut _0http://id.loc.gov/authorities/names/no2017063536 _1http://viaf.org/viaf/1092149619439104010009 |
|
| 245 | 1 | 0 |
_aEcological and Evolutionary Modelling _cby Cang Hui, Pietro Landi, Henintsoa Onivola Minoarivelo, Andriamihaja Ramanantoanina. |
| 264 | 1 |
_aCham, Switzerland _bSpringer International Publishing _c2018 |
|
| 300 | _a1 recurso en línea (IX, 86 páginas 17 ilustraciones,3 ilustraciones a color) | ||
| 336 |
_aTexto _btxt _2rdacontent |
||
| 347 |
_atext file _bPDF _2 |
||
| 490 | 0 |
_aSpringerBriefs in Ecology _x2192-4759 |
|
| 505 | 0 | _aPreface -- 1. Biodiversity1.1. Introduction -- 1.2. Aggregation -- 1.3. Entropy -- 1.4. Coexistence -- 1.5. Co-occurrence -- 1.6. Species turnover -- 1.7. Scaling -- 2. Evolution -- 2.1. Introduction -- 2.2. Phylogeny -- 2.3. Optimality -- 2.4. Game theory -- 2.5. Adaptive dynamics -- 2.6. Evolutionary branching -- 3. Networks -- 3.1. Introduction -- 3.2. Network architecture -- 3.3. Network stability -- 3.4. Complexity-stability relationship -- 3.5. Interaction switching -- 3.6. Coevolutionary networks -- 4. Spread -- 4.1.Introduction -- 4.2. Random walks -- 4.3. Metapopulations -- 4.4. Landscape demography -- 4.5. Dispersal kernels -- 4.6. Species distribution models -- References -- Index. | |
| 520 | 3 | _aEcology studies biodiversity in its variety and complexity. It describes how species distribute and perform in response to environmental changes. Ecological processes and structures are highly complex and adaptive. In order to quantify emerging ecological patterns and investigate their hidden mechanisms, we need to rely on the simplicity of mathematical language. Ecological patterns are emerging structures observed in populations, communities and ecosystems. Elucidating drivers behind ecological patterns can greatly improve our knowledge of how ecosystems assemble, function and respond to change and perturbation. Mathematical ecology has, thus, become an important interdisciplinary research field that can provide answers to complex global issues, such as climate change and biological invasions. The aim of this book is to (i) introduce key concepts in ecology and evolution, (ii) explain classic and recent important mathematical models for investigating ecological and evolutionary dynamics, and (iii) provide real examples in ecology/biology/environmental sciences that have used these models to address relevant issues. Readers are exposed to the key concepts, frameworks, and terminology in the studies of ecology and evolution, which will enable them to ask the correct and relevant research questions, and frame the questions using appropriate mathematical models. | |
| 650 | 7 |
_aEcología _2embne _9404984 |
|
| 650 | 7 |
_aEvolución _2embne _9138470 |
|
| 700 | 1 |
_aLandi, Pietro _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut _0http://id.loc.gov/authorities/names/n86123124 _1http://viaf.org/viaf/6419768 |
|
| 700 | 1 |
_aMinoarivelo, Henintsoa Onivola _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut _1http://viaf.org/viaf/7051153289942132770004 |
|
| 700 | 1 |
_aRamanantoanina, Andriamihaja _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut _1http://viaf.org/viaf/9311153289899832770009 |
|
| 710 | 2 |
_aSpringerLink (Online service) _0http://id.loc.gov/authorities/names/no2005046756 _1http://viaf.org/viaf/148105729 _9106996 |
|
| 776 | 0 | 8 |
_iEdición impresa: _z9783319921495 |
| 776 | 0 | 8 |
_iEdición impresa: _z9783319921518 |
| 856 | 4 | 0 |
_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-319-92150-1 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid) |
| 490 | 0 | _aBiomedical and Life Sciences (Springer-11642) | |
| 942 | _2lcc | ||
| 988 | _aEBSPRINGER_2018 | ||
| 998 |
_aSI _b02/2019 _cm _dz _ep _feng _ggw _h0 |
||
| 999 |
_c100903 _d100903 _x1 |
||